#Robotic Process Automation in Insurance Market forecast

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Robotic Process Automation in Insurance Market to See Huge Growth by 2027 | EdgeVerve, Salesforce, Datamatics, Cognizant

Advance Market Analytics published a new research publication on Global Robotic Process Automation in Insurance Market Insights, to 2027 with 232 pages and enriched with self-explained Tables and charts in presentable format. In the study, you will find new evolving Trends, Drivers, Restraints, Opportunities generated by targeting market-associated stakeholders. The growth of the Robotic Process Automation in Insurance market was mainly driven by the increasing R&D spending across the world.

Major players profiled in the study are:

Aspire Systems (United States), IBM (United States), Salesforce (United States), Microsoft (United States), Automation Anywhere, Inc., AutomationEdge (United States), Blue Prism (United Kingdom), Datamatics (United States), EdgeVerve (Infosys) (India), Kofax (United States), Nintex (United States), Paanini Inc. (United States), Pegasystems Inc. (United States), UiPath (United States), WorkFusion, Inc. (United States), Mindtree (India), Appian (United States) and Cognizant (United States)

Get Exclusive PDF Sample Copy of This Research @ https://www.advancemarketanalytics.com/sample-report/199028-global-robotic-process-automation-in-insurance-market#utm_source=DigitalJournalVinay

Scope of the Report of Robotic Process Automation in Insurance

Robotic process automation is rule-based low code software robotics that allows businesses to automate their operation without a human interface. The growing demand for RPA in the insurance sector to accelerate the digital transformation and automate claim and underwriting processes have boosted the market. Further, the outbreak of covid-19 has created significant opportunities for digital transformation across various business verticals. Rising IT spending of insurance companies and a focus to reduce human errors during claim processing will further drive the global market.This growth is primarily driven by Increasing Use of RPA in the Insurance Industry for Claim Processing and Sales & Distribution of Policies .

In February 2022, Nintex acquired Kryon, an RPA company to expand the intelligent process automation (IPA) capabilities of its Process Platform. With this acquisition, the aim of Nintex is to deliver more advanced automation capabilities to customers and community members.

In March 2022, SS&C Technologies Holdings Inc., a leading provider of software services acquired Blue Prism Group. Blue Prism provides RPA and intelligent automation across various industry verticals including financial services. The acquisition strengthens SS&C’s position and allows combining its RPA technology to offer a full suite of intelligent automation technologies.The key manufacturers are targeting the innovations of the products with better quality, better technical characteristics, and also assist in providing and humanizing the after-sale service to the consumers. The key players are anticipated to keep a stronghold position in the market over the anticipated period. The key players are accepting strategic decisions as well as thinking upon mergers and acquisitions in order to maintain their presence in the market.

The Global Robotic Process Automation in Insurance Market segments and Market Data Break Down are illuminated below:

by Application (Claim Registration & Processing, Underwriting & Pricing, Process & Business Analytics, Sales & Distribution, Others), Organization Size (Small & Medium Enterprises, Large Enterprises), End Users (Insurers, Agents & Brokers), Deployment (Cloud, On Premises)

Market Opportunities:

Significant Growth of Life Insurance Industry In Asia Pacific Region is Likely to create Noteworthy Opportunities for the RPA in Insurance

Market Drivers:

Increasing Use of RPA in the Insurance Industry for Claim Processing and Sales & Distribution of Policies

High Growth of RPA Bots to Quickly Address Service Requests and Provide Customer Support

Emerging trend of Hyperautomation to Accelerate Digital Transformation Across the Insurance Sector During and Post Pandemic

Market Trend:

Shifting Towards the Cloud Deployment of RPA Software

The Integration of OCR and Natural Language Processing Technologies to Offer Enhanced Customer Service

What can be explored with the Robotic Process Automation in Insurance Market Study?

Gain Market Understanding

Identify Growth Opportunities

Analyze and Measure the Global Robotic Process Automation in Insurance Market by Identifying Investment across various Industry Verticals

Understand the Trends that will drive Future Changes in Robotic Process Automation in Insurance

Understand the Competitive Scenarios

Track Right Markets

Identify the Right Verticals

Region Included are: North America, Europe, Asia Pacific, Oceania, South America, Middle East & Africa

Country Level Break-Up: United States, Canada, Mexico, Brazil, Argentina, Colombia, Chile, South Africa, Nigeria, Tunisia, Morocco, Germany, United Kingdom (UK), the Netherlands, Spain, Italy, Belgium, Austria, Turkey, Russia, France, Poland, Israel, United Arab Emirates, Qatar, Saudi Arabia, China, Japan, Taiwan, South Korea, Singapore, India, Australia and New Zealand etc.

Have Any Questions Regarding Global Robotic Process Automation in Insurance Market Report, Ask Our Experts@ https://www.advancemarketanalytics.com/enquiry-before-buy/199028-global-robotic-process-automation-in-insurance-market#utm_source=DigitalJournalVinay

Strategic Points Covered in Table of Content of Global Robotic Process Automation in Insurance Market:

Chapter 1: Introduction, market driving force product Objective of Study and Research Scope the Robotic Process Automation in Insurance market

Chapter 2: Exclusive Summary the basic information of the Robotic Process Automation in Insurance Market.

Chapter 3: Displaying the Market Dynamics- Drivers, Trends and Challenges & Opportunities of the Robotic Process Automation in Insurance

Chapter 4: Presenting the Robotic Process Automation in Insurance Market Factor Analysis, Porters Five Forces, Supply/Value Chain, PESTEL analysis, Market Entropy, Patent/Trademark Analysis.

Chapter 5: Displaying the by Type, End User and Region/Country 2016-2021

Chapter 6: Evaluating the leading manufacturers of the Robotic Process Automation in Insurance market which consists of its Competitive Landscape, Peer Group Analysis, BCG Matrix & Company Profile

Chapter 7: To evaluate the market by segments, by countries and by Manufacturers/Company with revenue share and sales by key countries in these various regions (2022-2027)

Chapter 8 & 9: Displaying the Appendix, Methodology and Data Source

Finally, Robotic Process Automation in Insurance Market is a valuable source of guidance for individuals and companies.

Read Detailed Index of full Research Study at @ https://www.advancemarketanalytics.com/buy-now?format=1&report=199028#utm_source=DigitalJournalVinay

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Craig Francis (PR & Marketing Manager)

AMA Research & Media LLP

Unit No. 429, Parsonage Road Edison, NJ

New Jersey USA 08837

[industrynewsupdates]

A Strategic Approach to Material Handling Equipments Procurement Intelligence

The global material handling equipments category is anticipated to grow at a CAGR of 5.85% from 2023 to 2030. Key factors driving the growth of the category include innovations in technology and the incorporation of Industry 4.0 into logistics infrastructure and warehouse management systems, growing need for expedited delivery, improved warehouse operations, and effective order fulfilment. In addition, the category is also being fuelled by rising e-commerce combined with shifting customer preferences is advancing last-mile delivery robot capabilities, and growing industrialization and the need for automation in material handling machinery. However, costly initial outlay for the purchase and upkeep of the product offered in the category places limitations on companies, especially small and medium-sized ones (SMEs). This may hinder the growth of the category during the forecasted timeframe.

Robotics & automation, internet of things (IoT) & data analytics, smart & connected systems, artificial intelligence (AI), digitization, and sensors & communication. Robotics & automation can improve speed, precision, flexibility, and quality while lowering labor expenses, human error, injuries, and downtime. For instance, automated guided vehicles (AGVs) integrated with navigations systems, cameras and sensorscan move goods and materials across the plant on their own. In addition, utilization of IoT & data analytics enables businesses in real-time optimizing, controlling and monitoring of technology and equipments. For instance, a business can use barcode scanners, GPS, and RFID tags to monitor the condition, status and location of its products and materials. Furthermore, a business can optimize and align the material handling process with its overall plant operations and company goals by utilizing smart & connected solutions.

The category for material handling equipments exhibits a moderately consolidated landscape, with majority of the share in the market being held by few of the global players who seek to maintain competition by implementing both organic and inorganic strategies as part of their core growth plan. The players are utilizing strategic activities like mergers, acquisitions, and new product launches to increase their competitive share and improve material handling operations through the quick adoption of cutting-edge technologies. For the purpose of making a significant market penetration, they regularly supply a range of specialist devices to their end users across nations. In addition, they are investing heaving in research & development to enhance their product lines. Despite intense competition, buyers in the category possess low negotiation capability as the market is ruled by few of the large players who leave less scope for switching to other options or let small regional players survive for long.

Order your copy of the Material Handling Equipments Procurement Intelligence Report, 2023 – 2030, published by Grand View Research, to get more details regarding day one, quick wins, portfolio analysis, key negotiation strategies of key suppliers, and low-cost/best-cost sourcing analysis

Cost of equipment, financing, insurance, fuel expenses, and repairs & maintenance constitute the total cost of ownership for the products offered in the category. The factors that drive the prices of the equipments include demand & supply, manufacturer, model & safety features, and resale value.Prices of equipment are impacted by the laws of supply and demand. Prices decrease as a result of increased competition among firms for machinery. Purchasers benefit if a certain equipment is oversupplied in the market. In addition,there are many equipment manufacturers, but only a handful control the market. The annual sales of new and second-hand equipment around the world reflect the fact that many businesses only purchase one or two specific brands of machinery. In the U.S., the price of high-rise crawler excavator ranges between USD 99,500 to USD 124,500. The price of diesel forklift ranges between USD 5,900 to USD 9,500.

Asia-Pacific region dominates the global material handling equipments category, holding substantial share of revenue. Growth of the region is attributed to the continuous rise of food retail sector which aims to boost the speed and effectiveness of picking & sorting processes, hence, requiring the need for the products offered in the category. In addition, strong economic growth in China, India, and several ASEAN nations is responsible for the expansion of the Asian market, which in turn has contributed to the overall growth of the region. Selecting an equipment that doesn’t incurs high cost of maintenance, thoroughly observing the space where the equipment will be deployed in order to get the relevant machinery (i.e. not too big, nor too small), selecting a supplier that is reliable and offers the equipments which are safe and doesn’t compromise on the quality, and comparing multiple suppliers to get the best deal are some of the best sourcing practices considered in this category.

Material Handling Equipments Procurement Intelligence Report Scope

• Material Handling Equipments Category Growth Rate: CAGR of 5.85% from 2023 to 2030

• Pricing Growth Outlook: 4% - 8% increase (Annually)

• Pricing Models: Cost-plus pricing, Competition-based pricing

• Supplier Selection Scope: Cost and pricing, Past engagements, Productivity, Geographical presence

• Supplier Selection Criteria: Industries served, years in service, geographical service provision, types of equipments, power output, propulsion type, on-site assistance, regulatory compliance, and others.

• Report Coverage: Revenue forecast, supplier ranking, supplier matrix, emerging technology, pricing models, cost structure, competitive landscape, growth factors, trends, engagement, and operating model

Browse through Grand View Research’s collection of procurement intelligence studies:

• Drilling Equipment & Consumables Procurement Intelligence Report, 2023 - 2030 (Revenue Forecast, Supplier Ranking & Matrix, Emerging Technologies, Pricing Models, Cost Structure, Engagement & Operating Model, Competitive Landscape)

• Heavy Mining Equipment Procurement Intelligence Report, 2023 - 2030 (Revenue Forecast, Supplier Ranking & Matrix, Emerging Technologies, Pricing Models, Cost Structure, Engagement & Operating Model, Competitive Landscape)

Key Companies Profiled

• BEUMER Group GmbH & Co. KG

• Crown Equipment Corporation

• Daifuku Co., Ltd.

• Fritz SCHÄFER GmbH & Co KG

• Hyster-Yale Materials Handling, Inc.

• Jungheinrich AG

• Kardex Holding AG

• KION Group AG

• KUKA AG

• Liebherr-International Deutschland GmbH

• Mitsubishi Heavy Industries, Ltd.

• Toyota Industries Corporation

Brief about Pipeline by Grand View Research:

A smart and effective supply chain is essential for growth in any organization. Pipeline division at Grand View Research provides detailed insights on every aspect of supply chain, which helps in efficient procurement decisions.

Our services include (not limited to):

• Market Intelligence involving – market size and forecast, growth factors, and driving trends

• Price and Cost Intelligence – pricing models adopted for the category, total cost of ownerships

• Supplier Intelligence – rich insight on supplier landscape, and identifies suppliers who are dominating, emerging, lounging, and specializing

• Sourcing / Procurement Intelligence – best practices followed in the industry, identifying standard KPIs and SLAs, peer analysis, negotiation strategies to be utilized with the suppliers, and best suited countries for sourcing to minimize supply chain disruptions

[credenceresearchdotblog]

The life insurance policy administration system market is poised for significant expansion, exhibiting a robust growth trajectory from USD 5960.44 million in 2023 to a projected USD 18193 million by 2032, reflecting a compelling compound annual growth rate (CAGR) of 13.2%.The life insurance policy administration system market has experienced significant growth in recent years, driven by the increasing demand for efficient, customer-centric, and automated solutions. This market encompasses the software and services that insurers use to manage the lifecycle of life insurance policies, from initial issuance to claims processing and policy renewals. With the advent of digital transformation, the life insurance industry is evolving rapidly, and policy administration systems are at the forefront of this change. This article explores the current trends, growth drivers, and future prospects of the life insurance policy administration system market.

Browse the full report at https://www.credenceresearch.com/report/life-insurance-policy-administration-system-market

Current Market Trends

Digital Transformation and Automation

One of the most prominent trends in the life insurance policy administration system market is the shift towards digital transformation and automation. Insurers are increasingly adopting advanced technologies such as artificial intelligence (AI), machine learning (ML), and robotic process automation (RPA) to streamline their operations and enhance customer experiences. These technologies enable insurers to automate routine tasks, reduce processing times, and improve accuracy, thereby increasing operational efficiency.

Cloud-Based Solutions

The adoption of cloud-based policy administration systems is another key trend. Cloud solutions offer scalability, flexibility, and cost-efficiency, making them an attractive option for insurers of all sizes. Cloud-based systems also facilitate real-time data access and collaboration, enabling insurers to respond more quickly to customer needs and market changes. Additionally, these solutions often come with advanced security features, ensuring the protection of sensitive policyholder data.

Customer-Centric Approaches

In today's competitive market, insurers are focusing more on delivering personalized and seamless customer experiences. Policy administration systems are being enhanced with customer relationship management (CRM) capabilities, enabling insurers to better understand customer needs and preferences. This shift towards customer-centricity is driving the development of systems that offer more intuitive interfaces, self-service portals, and omnichannel support.

Growth Drivers

Increasing Insurance Penetration

The growing awareness of the importance of life insurance, coupled with rising disposable incomes, is leading to increased insurance penetration, particularly in emerging markets. This trend is driving the demand for efficient policy administration systems that can handle a larger volume of policies and provide superior customer service.

Regulatory Compliance

The life insurance industry is subject to stringent regulatory requirements, which vary across different regions. Policy administration systems play a crucial role in helping insurers comply with these regulations by providing accurate and up-to-date information. The need for regulatory compliance is prompting insurers to invest in advanced systems that can ensure adherence to local and international standards.

Technological Advancements

Advancements in technology are continuously shaping the life insurance policy administration system market. The integration of AI, ML, and blockchain technology is transforming how insurers manage policies and interact with customers. These technologies are enhancing fraud detection, risk assessment, and claims processing, thereby improving overall efficiency and reducing operational costs.

Future Prospects

Expansion in Emerging Markets

Emerging markets, particularly in Asia-Pacific and Latin America, present significant growth opportunities for the life insurance policy administration system market. The increasing middle-class population and growing awareness of insurance products in these regions are driving demand. Insurers are expected to invest heavily in modernizing their policy administration systems to capture this potential market.

Focus on Data Analytics

The future of life insurance policy administration systems lies in harnessing the power of data analytics. Insurers are increasingly leveraging big data and analytics to gain deeper insights into customer behavior, identify trends, and make informed decisions. Advanced analytics can help insurers develop more personalized products, improve risk management, and enhance customer retention.

Integration with Insurtech

The rise of insurtech startups is fostering innovation in the life insurance policy administration system market. Collaborations between traditional insurers and insurtech firms are leading to the development of cutting-edge solutions that address specific industry challenges. This trend is expected to continue, driving further advancements and disruption in the market.

Key Players:

DXC Technology Company

Oracle Corporation

Majesco

Sapiens International Corporation

Capgemini SE

Accenture Plc

Concentrix Corporation

Infosys Limited

Mphasis Wyde

SAP SE

InsPro Technologies LLC

EXL Service Holdings, Inc.

Segments:

By Component:

Software Solutions

Services

By Deployment Mode:

On-Premises

Cloud-Based

By End-User:

Insurance Companies

Brokers

By Region:

North America

Europe

Asia Pacific

By Policy Type:

Universal Life Insurance

Term life insurance

By Organization Size:

Large Enterprises

Small and medium-sized enterprises (SMEs)

By Region

North America

The U.S.

Canada

Mexico

Europe

Germany

France

The U.K.

Italy

Spain

Rest of Europe

Asia Pacific

China

Japan

India

South Korea

South-east Asia

Rest of Asia Pacific

Latin America

Brazil

Argentina

Rest of Latin America

Middle East & Africa

GCC Countries

South Africa

Rest of Middle East and Africa

Browse the full report at https://www.credenceresearch.com/report/life-insurance-policy-administration-system-market

About Us:

Credence Research is committed to employee well-being and productivity. Following the COVID-19 pandemic, we have implemented a permanent work-from-home policy for all employees.

Contact:

Credence Research

Please contact us at +91 6232 49 3207

Email: sales@credenceresearch.com

Website: www.credenceresearch.com

[aryacollegeofengineering]

Artificial intelligence engineering Career in automobile industry

Artificial Intelligence in Automobile Industry

Digital transformation is demand of recent automotive industry for successful survival in competitive world. This is based on your response as per the customer trend which has shifted on the safety level along with the reliable performance. This is also proved that artificial intelligence is changing automotive industry instantly. AI Implementation requires immense investment which results 10% automotive giants adopted by AI for automation. Others consider AI in their core design to adopt but it is not happening for the same. Thus, experts of top engineering colleges in Jaipur observed opportunistic gap in the vehicle systems of the industries.

AI Enable Software for Automobiles

Automation in advanced vehicle system is feasible through AI techniques. AI-driven vehicles assistance expectation is increasing at huge level in the market which is increasing healthy competition among industries. This AI assistance is feasible for the users of engineering colleges with the use of several minor or major higher degree of freedom sensors which is specialised for their quick response in case of emergency for vehicle’s control system. It is lucratively implementation in navigation filed is accepted while human comfort is also achieved for adjusting window glass positions and mirror adjustment etc.

AI suggested Maintenance Prediction

In modern era of automation, AI suggested Prediction maintenance, proposed by experts for automobiles. AI counted as a significant presence in field of maintenance of vehicles. AI enables to predict the maintenance requirement before the failure which can also reduce the chances of sudden shut down of plant. AI assures the reliability of maximum performance of the plant.

AI Enables Four-Wheeler Manufacturing

AI extended itself into the vehicle manufacturing. This proposed the changes in the time bounded repetitive work by use of robots which replaced the human efforts. Those robots are enough capable to maintain the high accuracy adverse human condition and also avoids the chances of human injury. AI robots are also involved in the defect detection in components and notify the quality person. Automated Guided Vehicles (AGV) are also introduced in the plants for maintaining the movement of raw and finished products within the plant by identifying objects, fixe the optimized route and deliver to various sections of plant.

AI Enables Supply Chain management

Artificial intelligence is also involved in inventory control and forecast production demand. This intelligently estimates the space utilization of warehouse which is used to store raw material and finished product by the students of best engineering colleges in Jaipur. It also suggests about best loading or unloading solution for specific object in the plant. AI also ensures quality outgoing from the warehouse by implementing automated checking of parcel, visual check on parcels or receipts and monitored counting of parcels. Artificial intelligent Chatbots are now very common in industries for customer response against any query.

AI Suggested Automotive Insurance Claim System

In current scenario, AI facilitated students of best private engineering colleges in Jaipur to notify the drivers about the real time risk factors during journey and accelerate the accident claim through reduced filing process. It also considers past and present factors of events or accidents of specific driver.

AI Software for Driver Guiding and Control with Human Comfort

Perfect vision and backside notification is also arranged in new vehicles with implementation of AI based software. During driving the vehicle, it also notifies you about ideal human comfort condition though automated seat adjustment, mirror adjustment, temperature and humidity adjustment. On a very long driving, it also alarms you for eye opening in case of lethargic condition. It also helps you out during the accident situation by automated opening air bags as per detection of upper body position

Build or Improve Your AI Skills Now

While employers develop and offer training for the immediate skills of current jobs, there is going to be a continuing need for those with advanced skills for the evolving automotive world. Educational programs in AI and machine learning at top BTech colleges in Jaipur provide skills in critical areas like natural language processing, TensorFlow, computer vision, and data science. Certifications from partners will provide credibility for those looking to optimize their value in the workplace, particularly in sectors that are experiencing massive growth like the automotive industry.

Market Growth In Future

Artificial intelligence is increasing in the automotive sector and also creating the job opportunities in this sector exponentially. AI has been increasingly used in the automotive industry to boost the safety features in the vehicles. As per the automotive artificial intelligence market outlook 2025, optimistic future market is size of AI-Automotive estimated as millions by 2025 with compound annual growth rate of 45.0% between 2018 to 2025

Career Opportunities with Skill Requirements

This field open so many career opportunities in automotive sector plant  and vehicle wise through AI are like Autonomous Vehicle Engineer Perception, Embedded Software Engineer, Model Based Development Engineer, Industrial Engineer, Operations Engineer – Autonomous Vehicles, AI Functional Safety Engineer, Data Engineer-Engine Testing and Data Engineer-Vehicle Performance, Operations Engineer – Autonomous Warehouse management & inventory control, Operations Engineer- factory scheduling and production planning etc.

Plant optimization through AI, a mechanical engineer of BTech colleges involves in monitoring the production processes in the plant, in tool development to optimize the production strategy and also in optimizing system for material flow. Ultimate aim of this position is to optimize production process. This position requires the knowledge of Industrial Engineering-Optimization Techniques, Inventory Control-Material Flow, Python or MATLAB, Machine learning or Neural Network, Project Management, Quality Assurance Techniques.

Artificial intelligent vehicle’s job requirements are divided into two parts as firstly AI implementation on performance while autonomy of vehicle secondly. It is field near about to mechatronics to data analysis, data handling and program deployment in microcontroller. It shows some advancement in the arms of mechanical, computer, electronics and mathematical engineers. This position requires the knowledge of Mechanical engineering –Thermal, mechanics and operation research, Python /MATLAB, Programming in Micro-controller, Data analysis-Machine Learning and Computer Vision, etc.

Source: Click Here

[imarcmarketreport]

Fintech Market Size, Trends, Growth, Analysis Report 2024-2032

IMARC Group, a leading market research company, has recently releases report titled “Fintech Market: Global Industry Trends, Share, Size, Growth, Opportunity and Forecast 2024-2032” The global fintech market size reached US$ 187.1 Billion in 2023. Looking forward, IMARC Group expects the market to reach US$ 764.4 Billion by 2032, exhibiting a growth rate (CAGR) of 17% during 2024-2032.

Request For Sample Copy of Report: https://www.imarcgroup.com/fintech-market/requestsample

Factors Affecting the Growth of the Fintech Industry:

Increasing Consumer Demand:

People are increasingly looking for digital and hassle-free financial services. Fintech firms offer user-friendly apps and platforms for activities, such as online payments, budgeting, investing, and peer-to-peer lending, aligning with preferences of people for convenience and accessibility. Fintech companies use advanced data analytics to offer tailored financial services in the country. This personalization resonates with individuals who appreciate solutions that cater to their individual financial goals and circumstances. Fintech solutions often provide cost-effective alternatives to traditional banking services. People are attracted to lower fees, competitive interest rates, and transparent pricing models offered by many fintech providers.

Enhanced Tech Infrastructure:

The enhanced tech infrastructure allows people to have access to high-speed internet. This widespread connectivity ensures that fintech services can reach a broad audience, enabling seamless online interactions between consumers and financial platforms. The proliferation of smartphones and the availability of 4G and 5G networks are creating a mobile-friendly environment. Fintech companies leverage this trend by developing mobile apps and platforms, catering to people who prefer conducting financial transactions on their mobile devices.

Cybersecurity Awareness:

Rising awareness about cybersecurity instills trust and confidence among consumers and businesses when using fintech services. People are more conscious about the importance of data protection, and fintech companies are responding by implementing robust security measures. This includes encryption, secure authentication methods, and data encryption technologies to safeguard sensitive information. Cybersecurity awareness is leading to the introduction of stringent regulations in the fintech sector. Fintech companies are required to comply with cybersecurity standards and regulations, further enhancing the security of financial transactions and data.

Leading Companies Operating in the Global Fintech Industry:

Adyen N.V.

Afterpay Limited (Block Inc.)

Avant LLC

Cisco Systems Inc.

Google Payment Corp.

International Business Machines Corporation

Klarna Bank AB

Microsoft Corporation

Nvidia Corporation

Oracle Corporation

Paypal Holdings, Inc.

Robinhood Markets Inc.

SoFi Technologies Inc

Tata Consultancy Services

Fintech Market Report Segmentation:

By Deployment Mode:

On-premises

Cloud-based

On-premises represented the largest segment as some financial institutions and businesses prefer to maintain control over their data and infrastructure, especially for sensitive financial transactions.

By Technology:

Application Programming Interface

Artificial Intelligence

Blockchain

Robotic Process Automation

Data Analytics

Others

On the basis of technology, the market has been segmented into application programming interface, artificial intelligence, blockchain, robotic process automation, data analytics, and others.

By Application:

Payment and Fund Transfer

Loans

Insurance and Personal Finance

Wealth Management

Others

Payments and fund transfer exhibit a clear dominance in the market on account of the growing consumer demand for convenient and efficient payment solutions.

By End User:

Banking

Insurance

Securities

Others

Banking holds the largest market share as traditional banks increasingly collaborate with fintech companies to offer digital services.

Regional Insights:

North America (United States, Canada)

Asia Pacific (China, Japan, India, South Korea, Australia, Indonesia, Others)

Europe (Germany, France, United Kingdom, Italy, Spain, Russia, Others)

Latin America (Brazil, Mexico, Others)

Middle East and Africa

North America enjoys the leading position in the fintech market due to the growing number of fintech startups and financial institutions.

Global Fintech Market Trends:

Governing agencies of several countries are implementing open banking regulations, which allow people to share their financial data securely with third-party fintech providers. The adoption of digital payment solutions and mobile wallets is rising due to increasing consumer demand for convenient and contactless payment methods. Robo-advisors and wealthtech platforms are gaining traction, offering automated investment advice and portfolio management services. This trend aligns with consumers seeking simplified and cost-effective investment options.

Moreover, interest in cryptocurrencies and blockchain technology is growing, with fintech companies exploring applications beyond traditional finance, such as supply chain management and digital identity verification.

Other Key Points Covered in the Report:

COVID-19 Impact

Porters Five Forces Analysis

Value Chain Analysis

Strategic Recommendations

About Us

IMARC Group is a leading market research company that offers management strategy and market research worldwide. We partner with clients in all sectors and regions to identify their highest-value opportunities, address their most critical challenges, and transform their businesses.

IMARC Group’s information products include major market, scientific, economic and technological developments for business leaders in pharmaceutical, industrial, and high technology organizations. Market forecasts and industry analysis for biotechnology, advanced materials, pharmaceuticals, food and beverage, travel and tourism, nanotechnology and novel processing methods are at the top of the company’s expertise.

Contact US

IMARC Group 134 N 4th St. Brooklyn, NY 11249, USA Email: sales@imarcgroup.com Tel No:(D) +91 120 433 0800 United States: +1-631-791-1145 | United Kingdom: +44-753-713-2163

[prasannareddy]

Digital Disruption: The Role of Fintech Technologies in Shaping the Future of Finance

Increase in use of smartphones for mobile banking, investing, borrowing services, and cryptocurrency are examples of technologies aiming to make financial services more advance & accessible to the general public. Moreover, Fintech technology companies consist of both startups and established financial institutions trying to replace & enhance usage of financial services provided by existing financial companies. In addition, Fintech technologies include advance technologies such as artificial application programming interface (API), artificial intelligence (AI), blockchain, robotic process automation, and data analytics to enhance financial processes. Payments, fund transfer, personal finance, insurance, and wealth management are some of the major business areas engaged in fintech technologies.

According to the report published by Allied Market Research, the global fintech technologies market size was valued at $110.57 billion in 2020, and is projected to reach $698.48 billion by 2030, growing at a CAGR of 20.3% from 2021 to 2030. The report offers a detailed analysis of changing market trends, top investment pockets, regional landscape, major segments, value chain, and competitive scenario.

Convenience services & maintenance of transparency in terms of financial inclusions and integration of advanced technologies drive the growth of the global fintech technologies market. However, privacy & security concerns with massive shift of consumer data and conflicting regulations across different jurisdictions hinder the market growth. On the other hand, expansion of offerings in developing economies with growth in the middle-class segment, rise in literacy level, rapid urbanization, and increase in tech-savvy youth generation presents new opportunities in the coming years.

Request Sample Report: https://www.alliedmarketresearch.com/request-sample/5024

COVID-19 Scenario:

The demand for fintech technologies increased with surge in usage and adoption of online & digitalized financial products among consumers across the world. In addition, fintech providers have been consolidating their capital and funding for technologies from investors and lenders. Fintech innovations are coming into picture to reduce the cost of services, making financial institutions possible to reach more people and eliminate the need for face-to-face interactions during the pandemic. The report offers detailed segmentation of the global fintech technologies market based on deployment mode, application, technology, end user, and region. Based on deployment mode, the on-premise segment accounted for the highest market share in 2020, contributing to nearly three-fifths of the total share, and is projected to maintain its leadership status during the forecast period. However, the cloud segment is expected to register the highest CAGR of 21.3% from 2021 to 2030.

Interested to Procure the Data? Inquire Here @: https://www.alliedmarketresearch.com/purchase-enquiry/5024

Based on end user, the banking sector contributed to the highest market share in 2020, accounting for more than half of the global fintech technologies market, and is projected to continue its lead in terms of revenue during the forecast period. However, the securities segment is estimated to witness the highest CAGR of 23.2% from 2021 to 2030.

Based on region, North America held the largest share in 2020, accounting for more than one-third of the total share, and is estimated to maintain its dominant share in terms of revenue by 2030. However, Asia-Pacific is projected to portray the largest CAGR of 22.1% during the forecast period.

Get Detailed COVID-19 Impact Analysis on the Fintech Technologies Market: https://www.alliedmarketresearch.com/request-for-customization/5024

List of companies profiled of the global fintech technologies market analyzed in the research include Blockstream Corporation Inc., Bankable, Cisco Systems Inc., Circle Internet Financial Limited, IBM Corporation, Microsoft, Goldman Sachs, Oracle, NVIDIA Corporation, and Tata Consultancy Services Limited. These market players have adhered to several strategies including partnership, expansion, collaboration, joint ventures, and others to prove their flair in the industry.

Fintech Technologies Market Key Segments

By Deployment Mode

On-premise Cloud

By Application

Payment & Fund Transfer Loans Insurance & Personal Finance Wealth Management Others

By Technology

Application Programming Interface (API) Artificial Intelligence (AI) Blockchain Robotic Process Automation Data Analytics Others

By End User

Banking Insurance Securities Others

Related Reports:

Europe Open Banking Market https://www.alliedmarketresearch.com/europe-open-banking-market-A16019

Housing Finance Market https://www.alliedmarketresearch.com/housing-finance-market-A17178

Business Travel Insurance Market https://www.alliedmarketresearch.com/business-travel-insurance-market

Retail Cash Management Market https://www.alliedmarketresearch.com/retail-cash-management-market-A16646

Crowdfunding Market https://www.alliedmarketresearch.com/crowdfunding-market-A47387

Car Finance Market https://www.alliedmarketresearch.com/car-finance-market

Insurance Analytics Market https://www.alliedmarketresearch.com/insurance-analytics-market-A07602

Mutual Fund Assets Market https://www.alliedmarketresearch.com/mutual-fund-assets-market-A06932

Asia-Pacific Travel Insurance Market https://www.alliedmarketresearch.com/asia-pacific-travel-insurance-market

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[omkarpatel]

Pharmacy Automation Market is Estimated to Witness High Growth Owing to Opportunity of Improving Patient Safety and Workflow Efficiency

Pharmacy automation systems aid in streamlining dispensing and packaging of medications with minimal human errors and involvement. These systems incorporate various automated medication dispensing cabinets, packaging machines, and robotics to automate medication preparation, packaging, labeling, and dispensing processes. Pharmacy automation improves patient safety by reducing error rates and potential adverse drug events (ADEs). It also enhances pharmacy workflow efficiency by freeing up pharmacists and technicians from repetitive manual tasks. The global Pharmacy Automation Market is estimated to be valued at US$ 3,601.4 Mn in 2023 and is expected to exhibit a CAGR of 8.1% over the forecast period 2023 to 2030, as highlighted in a new report published by Coherent Market Insights. Market Opportunity: Growing need to improve patient safety and workflow efficiency in pharmacies is expected to boost the pharmacy automation market growth over the forecast period. Medication errors continue to be a concerning issue in healthcare systems worldwide. Automating key pharmacy processes can effectively minimize errors and free up staff from repetitive tasks to focus more on direct patient care. This presents lucrative opportunities for pharmacy automation system vendors to provide innovative, integrated solutions matching the evolving needs of pharmacies. Continuous technological advancements are enabling enhanced capabilities of current pharmacy automation solutions. Porter's Analysis Threat of new entrants: The threat of new entrants is moderate due to high initial capital requirements for R&D and automation technologies. However, large corporations can enter this market easily. Bargaining power of buyers: The bargaining power of buyers is high as pharmacy automation systems have several players and buyers can negotiate on price and demand customized solutions. Competitive rivalry: The competitive rivalry is high due to presence of several global players offering differentiated solutions. SWOT Analysis Strength: Automation enhances efficiency, reduces errors and labor costs. It ensures accuracy in dispensing and inventory management. Weakness: High initial investments and maintenance costs of automated solutions. Resistance to change from traditional methods. Key Takeaways The global Pharmacy Automation Market is expected to witness high growth. The global Pharmacy Automation Market is estimated to be valued at US$ 3,601.4 Mn in 2023 and is expected to exhibit a CAGR of 8.1% over the forecast period 2023 to 2030. The market in North America dominated with a share of around 45% in 2023 owing to stringent regulations and presence of key players. However, Asia Pacific is expected to grow at the fastest CAGR of around 9.5% during the forecast period due to growing healthcare expenditure and increasing patients in countries like China and India. Growing penetration of health insurance and expansion of retail pharmacies are driving demand. Furthermore, presence of contract manufacturing hubs and favorable government policies promoting FDI will augment the pharmacy automation market in Asia Pacific. Key players operating in the Pharmacy Automation market are Becton, Dickinson and Company, McKesson Corporation, Yuyama Co., Ltd., Omnicell, Inc., ScriptPro LLC, Cerner Corporation, Capsa Healthcare, Baxter International, Inc., KUKA AG, TCGRx Pharmacy Workflow Solutions, RxSafe, LLC, ARxIUM Inc. Swisslog Holdings AG and Talyst systems LLC. These players are focusing on new product launches and mergers & acquisitions to strengthen their market presence.

[datadiscoveriesdaily]

Robotic Process Automation in BFSI Market Key Players, Industry Overview, Application and Analysis to 2024 to 2031

Robotic Process Automation in BFSI Market: Navigating the Future of Financial Operations

The Robotic Process Automation in BFSI Market was valued at 710.63 Billion in 2022 and expected to grow at CAGR of 40.1% over forecast period. In the dynamic landscape of the Banking, Financial Services, and Insurance (BFSI) sector, the integration of Robotic Process Automation (RPA) has emerged as a transformative force, reshaping traditional workflows and operational paradigms. RPA, a technology that utilizes robots or 'bots' to automate repetitive tasks, is gaining widespread adoption in the BFSI sector due to its potential to enhance efficiency, reduce operational costs, and mitigate risks.

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Overview:

The BFSI sector, being data-intensive and compliance-driven, has recognized the significance of RPA in optimizing processes. RPA in BFSI involves the deployment of software robots to perform rule-based tasks, such as data extraction, validation, and reconciliation, across various functions like customer onboarding, account management, fraud detection, and regulatory compliance. This automation not only accelerates routine tasks but also ensures accuracy, enabling financial institutions to redirect human resources to more strategic and value-added activities.

Drivers:

Several factors fuel the rapid adoption of RPA in the BFSI sector. One of the primary drivers is the quest for operational efficiency. RPA streamlines mundane tasks, allowing financial institutions to handle vast volumes of data swiftly and accurately. Cost reduction is another compelling driver as RPA diminishes the need for manual intervention, leading to significant savings in labor costs. Additionally, regulatory compliance is a critical aspect of the BFSI sector, and RPA ensures adherence to stringent norms by minimizing errors and ensuring consistency in processes.

Restraints:

Despite the promising prospects, the integration of RPA in BFSI is not without challenges. One notable constraint is the initial investment required for implementation. While the long-term benefits are substantial, some financial institutions may hesitate due to the upfront costs associated with acquiring and implementing RPA solutions. Moreover, concerns regarding data security and privacy may act as a deterrent, especially in an industry where safeguarding sensitive customer information is paramount.

Growth Factors:

The growth of RPA in BFSI is propelled by its adaptability to diverse processes within the sector. As financial institutions increasingly recognize the potential of RPA to enhance customer experience, the technology is witnessing widespread adoption. Moreover, the scalability of RPA solutions ensures that they can be tailored to fit the unique requirements of different organizations, irrespective of their size or complexity. The continuous advancements in RPA technology, including the incorporation of artificial intelligence and machine learning capabilities, further contribute to its sustained growth in BFSI.

Future Outlook:

The future of RPA in BFSI appears promising, with ongoing technological advancements and a growing emphasis on digital transformation. The integration of cognitive capabilities, such as natural language processing and sentiment analysis, will elevate RPA from rule-based automation to a more intelligent and adaptive solution. This evolution is expected to drive innovation in areas like customer service, risk management, and decision-making processes, positioning RPA as a cornerstone of BFSI's digital evolution.

In conclusion, the integration of Robotic Process Automation in the BFSI sector represents a transformative shift in operational dynamics. As financial institutions navigate the challenges of a rapidly evolving landscape, RPA stands out as a key enabler of efficiency, cost-effectiveness, and compliance. While hurdles exist, the numerous drivers and growth factors underscore the inevitability of RPA becoming an integral part of the future of BFSI operations.

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Key Companies Profiled:  NICE; Nintex UK Ltd. (Kryon Systems); Pegasystems Inc.; Protiviti Inc.; UiPath; WorkFusion, Inc., Antworks, Atos SE; Automation Anywhere, Inc.; Blue Prism Limited; EdgeVerve Systems Ltd.; FPT Software; IBM; Kofax Inc.; Microsoft (Softomotive)

Global Robotic Process Automation in BFSI Market, Report Segmentation

Robotic Process Automation in BFSI Market, By Type

Software

Services

Services

Robotic Process Automation in BFSI Market, By Organization

SMEs

Large Enterprises

Robotic Process Automation in BFSI Market, By Application

Banking

Financial Services & Insurance

Global Anti-aging Devices Market, Regional Outlook

North America (U.S., Canada, and Mexico)

Europe (Germany, France, Italy, Spain, U.K., Russia, and Rest of Europe)

Asia Pacific (China, India, Japan, Australia, and Rest of Asia Pacific)

South America (Brazil, Argentina, and Rest of South America)

Middle East & Africa (South Africa, UAE, and Rest of ME&A)

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Related Reports:

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Artificial Intelligence in Construction Market: https://sanglobalresearch.com/report/artificial-intelligence-in-construction-market/3026

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[jayanthitbrc]

Embedded AI Market Growth Trajectory, Key Drivers And Trends

The Business Research Company’s Embedded AI Global Market Report 2023 is the most detailed report available on the market, including broad forecast periods and multiple geographies. The report covers the historic period – 2010-2021, and the forecast period – 2023-2032. The Embedded AI Global Market Report 2023 evaluates embedded AI market size, growth rate, drivers, trends, and major companies.

The report provides a global perspective by covering 60 geographies and focusing on major economies in each region – Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.

Request A Free Sample Of The Report (Includes Graphs And Tables):

The global embedded AI market is expected to grow from 11.64 billion in 2022 to 13.04 billion in 2023 at a compound annual growth rate (CAGR) of 12%. The Russia-Ukraine war disrupted the chances of global economic recovery from the COVID-19 pandemic. The war between these two countries has led to economic sanctions on multiple countries, surge in commodity prices, and supply chain disruptions, causing inflation across goods and services and resulted in increased interest rates affecting many markets across the globe. The embedded AI market is expected to reach 20.36 billion in 2027 at a CAGR of 11.8%.

An increase in industrial automation is expected to propel the growth of the embedded AI market going forward. Industrial automation uses advanced technologies, control systems, and machinery to automate industrial processes and operations. Embedded AI is widely used in industrial automation to enhance productivity, efficiency, and decision-making in manufacturing and production processes. It is used for machine vision, quality control, predictive maintenance, and robotics automation. For instance, in February 2022, according to the International Federation of Robotics, a Germany-based non-profit organization, 23,000 industrial robots were operating in UK factories in 2021, an increase of 6% from the previous year. Further, sales of new robots were up by 8% to 2,205 units in 2020. Therefore, the increase in industrial automation is driving the growth of the embedded AI market.

Get More Information On The Embedded AI Market Report:

The embedded AI market segments in the report are:

1) By Offering: Hardware, Software, Services

2) By Data Type: Sensor Data, Image And Video Data, Numeric Data, Categorial Data, Other Data Types

3) By Application: Smart Phone, Wearable Device, Vehicle Electronics, Smart Home, Security Monitoring, Drone, Robot, Other Applications

4) By Vertical: Banking, Financial Services And Insurance (BFSI), Information Technology (IT) And Information Technology Enabled Services (ITES), Retail And Ecommerce, Manufacturing, Healthcare And Life Sciences, Media And Entertainment, Telecom, Automotive, Other Verticals

The table of contents in TBRC’s embedded AI market report includes:

1. Executive Summary

2. Market Characteristics

3. Market Trends And Strategies

4. Impact Of COVID-19

5. Market Size And Growth

6. Segmentation

7. Regional And Country Analysis

.

.

.

27. Competitive Landscape And Company Profiles

28. Key Mergers And Acquisitions

29. Future Outlook and Potential Analysis

Learn About Us:  The Business Research Company is a market intelligence firm that pioneers in market, company, and consumer research. TBRC’s specialist consultants are located globally and are experts in a wide range of industries that include healthcare, manufacturing, financial services, chemicals, and technology. The firm has offices located in the UK, the US, and India, along with a network of proficient researchers in 28 countries.

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[techrobot1235]

7 low code platforms embracing AI

Microsoft’s AI Builder adds AI and machine learning capabilities to Power Apps and Power Automate, while other firms are implementing AI within their low-code and no-code software development and robotic process automation services. AI features are also being added to Amazon SageMaker, DataRobot, Google Cloud AutoML, and Dataiku. 

Here are seven low code products adopting AI:

1. Creatio Atlas

Creatio is incorporating a ChatGPT interface into its Creatio Atlas low-code platform and CRM solutions to improve predictive machine learning models. The connector, which uses the GPS-3.5-turbo model API, charges for use cases such as knowledgebase Q&A, content development, language translation, personal assistants, and email production.

2. Mendix AI-Assisted Development

Mendix Assist (AIAD) is a low-code application development platform featuring two virtual co-developer bots: MxAssist Logic Bot and MxAssist Performance Bot. Smart app capabilities are provided by the platform, which includes an AWS service connection and the Mendix ML Kit. The MxAssist Logic Bot walks users through the process of modelling and setting application logic while offering real-time, context-driven actions. While working in Mendix Studio Pro, the MxAssist Performance Bot inspects the app project model against Mendix development best practices to assist in enhancing app performance.

3. OutSystems AI Mentor System

OutSystems AI Mentor System is a collection of AI-powered solutions meant to aid teams across the software development lifecycle. It contains mentors in code, architecture, security, performance, and reliability who help with coding and handle architectural, security, performance, and maintainability concerns. OutSystems also has an Azure ChatGPT connection in their Forge repository, which enables code completions, conversation completions, and machine learning model embeddings. Azure ChatGPT is recommended for personalized suggestions, virtual assistant power, and summarizing and comparing documents such as insurance policies, legal papers, and financial documents.

4. Pega AI and GenAI

Pega AI and Pega GenAI are part of the Pega low-code platform. Pega AI enables “decisioning” through event monitoring, mining of processes, speech-to-text conversion, and natural language processing. It uses decision techniques, machine learning, and adaptive analytics to help you assess facts and actions, forecast consequences, and make decisions in real-time. Pega GenAI develops procedures, phases, and measures. maps integrations to back-end systems, produces test data on the fly and provides conversational guidance to developers.

5. UiPath AI Center

Machine learning has been integrated into the advanced processes of UiPath, a major RPA software. It now has an AI Centre where you can train, evaluate, deploy, and retrain machine learning models for use with RPA. Importing models and employing pre-trained models for image analysis, language analysis, understanding, translation, and tabular data is supported by the AI Centre.

6. Appian Platform

The Appian Platform provides a low-code design experience for process automation, with Appian 23.2 featuring three AI skills: document classification, document extraction, and email classification. The Document Classification AI Skill provides for document classification and routing, whilst the Email Classification AI Skill allows for bespoke machine learning models that classify emails based on business labels. The Document Extraction AI Skill pulls relevant content from structured documents for convenient application use. Appian 23.3 will integrate Appian AI Copilot, a generative AI conversation interface for form design and process modelling.

7. Airtable AI (beta)

Airtable has enhanced its offering, which was previously released alongside OpenAI’s generative foundation models. The AI can be integrated with roadmap apps, marketing apps, and hiring funnel apps to generate product specifications, creative briefs, and job descriptions for available positions.

Conclusion

As we’ve witnessed, most low-code and no-code development and RPA systems now offer AI capabilities, which are frequently based on a version of GPT. More will undoubtedly follow. Microsoft Power Platform is a market leader in this space, thanks in part to its tight partnership with OpenAI and the current AI and machine learning capabilities on Microsoft Azure.

Read More At - https://www.thetechrobot.com/

[rdglobalincsblog]

10 Mind-Blowing Ways RPA Services Are Transforming Insurance

The insurance industry is on the brink of a digital revolution powered by Robotic Process Automation (RPA). RPA is reshaping insurance operations by enhancing efficiency and accuracy. McKinsey reports that 25% of insurance processes can be automated in the next two years. In this blog: https://www.rdglobalinc.com/10-mind-blowing-ways-rpa-services-are-transforming-insurance/, we explore how RPA is setting new industry standards and its benefits. 

Streamlining Claims Processing: 

RPA automates data entry, form filling, and verification in claims processing, reducing delays and errors. Bots mimic human actions but work faster and more accurately, allowing staff to focus on higher-value tasks. 

Enhancing Customer Service: 

RPA automates routine tasks like policy quotes and issuance, improving customer service. Bots handle common queries, offer instant responses, and enable personalized experiences, enhancing satisfaction and loyalty. 

Fraud Detection and Prevention: 

RPA analyses data swiftly to detect fraudulent patterns and anomalies. It cross-verifies information, predicts fraudulent behaviour, and leads to faster detection, reduced payouts, and improved trust. 

Policy Administration and Renewal Automation: 

RPA streamlines policy administration and renewals, automating notifications, and ensuring smooth operations. 

Mitigating Compliance Risks: 

RPA automates compliance tasks, ensuring accuracy and reducing time. It provides audit trails for regulatory transparency. 

Efficient Data Management and Analysis: 

RPA excels in data management, collecting, validating, and analysing data for real-time insights and forecasts. 

Boosting Sales and Marketing: 

RPA automates sales and marketing tasks, improving interactions, conversion rates, and customer retention. 

Effective Underwriting: 

RPA automates underwriting tasks, reducing manual work, and ensuring consistent risk assessments. 

Improved Operational Efficiency: 

RPA processes tasks faster and with fewer errors, leading to better services, quicker responses to market changes, and a competitive edge. 

Cost Reduction and ROI Improvement: 

RPA reduces labour costs, errors, and enhances ROI by boosting productivity and efficiency. 

Want to learn how to implement robotic process automation solutions in your business? 

At RD Global, we specialize in providing comprehensive RPA development services and robotic process automation consulting solutions for the insurance industry. Our experienced RPA experts will design, implement, monitor, and maintain automated processes to help you unlock your business’s full potential. 

[wns-vuram]

How to Evaluate a Process for RPA When Implementing the RPA Solutions in Businesses

Every enterprise is eyeing on implementing RPA solutions tools; thanks to the benefits of robotic process automation. According to Statista, the forecasted RPA market value for the year 2023 is worth more than $10 billion. Despite the software bots being deployed like hot cakes including IT, service sector, and various verticals, as with any technology, implementing RPA solutions in businesses comes with its own sets of challenges. Companies that do not deep dive before implementing RPA are in for at least a few stumbling blocks; in some cases, they can potentially fail. However, this is not due to an inherent flaw in the technology but due to the inefficient methodologies and myths about the technology.

Take A Step Back – Why Does Your Organization Need RPA?

Be clear about your objectives and how you would like to utilize RPA solutions in your organization. According to a 2017 HFS Research, 41% of the research sample haven’t implemented RPA solutions because they have not determined business cases. These questions can help you think it through:

What would you like to achieve by implementing RPA solutions in your business?

Are there any processes that do not need a human intervention? These can be easily automated in an unattended way.

Are your employees constantly doing a clerical task that doesn’t need judgment?

Read More : https://www.vuram.com/blog/things-to-evaluate-before-implementing-rpa-solutions-in-businesses/

➤ Next best reads for you:

Blogs:

Robotic Process Automation: How RPA Helps Insurance Companies

Debunking The 5 Common Myths Surrounding RPA

RPA: Identifying The Right Process For Automation

News:

Hyperautomation trends to watchout in 2022

Adopting an empathy-first approach to nurture equity

Rising star recognition from ISG provider lens

[rithvik-scryai]

How AI is Transforming the Fintech Industry

Overview

Financial technology ("FinTech") refers to businesses that aim at providing financial services by making use of software and modern technology. With revolutionary shifts in Internet and mobile technology in recent years, the FinTech industry has witnessed explosive growth by being a pioneer in embracing advanced technologies. Artificial intelligence (AI) has become a promising technology for enterprises from various sectors of the economy. The market for AI in FinTech is estimated at USD 42.83 billion in 2023. According to the Mordor Intelligence report, it is expected to reach USD 49.43 billion by 2028, growing at a CAGR of 2.91% during the forecast period 2023-2028 [1]. Forrester estimates that about half of the world's banks and insurance agencies use intelligent algorithms in their transactions, and the demand for FinTech development services continues growing [2].

Data Digitization Accelerating Fintech

FinTech companies benefit from AI. FinTech players use technology to streamline standard business processes as digitization becomes inevitable. They are doing away with manual work, and technology is rapidly taking over, making business processes more efficient. Technology helps to work with data, which is a rich competitive resource. Businesses use only 0.5 percent of 44 zettabytes of data generated annually [3]. The financial industry has a lot of information: browser specifications, transaction history, images, confidential information, etc. According to research by Mordor Intelligence, process automation was one of the most significant drivers of AI in financial organizations. It rapidly evolves to cognitive process automation, whereby AI systems can perform complex automation processes [4].

Automated Financial Analysis For Increased Throughput

Employing robotic process automation (RPA) for high-frequency repetitive tasks eliminates the room for human error. It allows a financial institution to refocus workforce efforts on processes that require human involvement. It reduces the burden on finance professionals, particularly around the cornerstones of traditional activities, such as transaction processing, audit, and compliance. Amidst the COVID-19 pandemic, FinTech built contactless methods and AI-assisted businesses to automate financial analysis. Artificial intelligence-enabled software verifies data, generates reports according to the parameters, reviews documents, and extracts information from forms. It emphasizes financial analytics and forecasting, strategic risk and resilience, compliance and control, and better data-driven financial management. Ernst & Young has reported a 50 percent to 70 percent cost reduction for these tasks [5]. Forward-thinking industry leaders look to RPA to cut operational costs, enhance user experience and boost productivity.

Human-Like Chatbots For Advanced Customers Engagement

Personalization is becoming increasingly crucial in FinTech to deliver a banking experience that provides an accurate answer in natural language to the customer. AI-powered chatbots help minimize the workload placed on call centers as they tackle the most typical and frequent user problems. The chatbot market is predicted to amount to 454.8 million dollars in revenue by 2027, according to a Statista report [6]. Each chatbot uses a complex sentiment analysis that focuses on understanding the customer’s experience with their service/application, identifying ways it falls short, and training the chatbot to address those shortfalls. Communication between customers and FinTechs is becoming easier and more accessible with AI-based systems. Providing 24×7 banking services is the best way to show availability for bank service providers. With machine learning, AI enhances customer engagement with the ability to respond instantly, resulting in more customer acquisition.

Enhanced Decision Making With Data-Driven Insights

A decision is always informed if it is data-driven. Customers can utilize FinTech apps that have data visualization tools. These tools can break down complex data into a simple form that everyone can understand and digest insights. It improves their financial decision-making. At the corporate level, data-driven decisions have substantially transformed how different issues are handled. Instead of recommendations from human experts, managers are basing their decisions on machine-generated information. For instance, the COVID-19 pandemic has strongly affected FinTech and its consumers, who have shifted now to employing mobile apps more actively. So it has become a golden chance for enterprises to get significant insights into customers and their user experience. That data can be used to fortify their market reputation consequently. AI and data visualization tools can analyze data and provide the most viable and practical recommendations.

Predictive Analytics Reducing Errors

The success of many FinTech companies depends on how well they can analyze current business trends and predict the trends of tomorrow. According to a recent study by the Entrepreneur, AI offers predictive analytics, which is a significant game-changer since it enhances business operations and improves internal processes, giving financial organizations a competitive advantage. It also helps stock traders make decisions by predicting fluctuations in the market. Good analytics in FinTech affects sales growth, business development, and competitiveness. It may depend on predictions of whether a loan will be issued to a reliable person or an insolvent one, what financial products will be helpful to customers in the future, and so on. Studying a vast amount of data is necessary to find a pattern in processes and draw reasonable conclusions, as is learning how to store and protect it. Artificial intelligence examines stored customer data, "tells" managers how to use the information profitably and can reveal complex and unexpected variables.

Secure Your Organisation With Fraud Detection & Enhanced Security

Fraud is one of the most pressing problems the finance industry faces nowadays. According to Javelin, users and businesses experienced a 56 billion dollar loss in 2020 due to fraud [7]. It hampers the companies' reputation, customer experience, and financial loss. Hence, banks, enterprises, and financial institutions employ AI to react to suspicious activity before the fraud happens by blocking a user's request or accessing their account if the system detects potentially fraudulent activity. Over the years, artificial intelligence has significantly boosted data security in the FinTech sector. AI offers a variety of solutions via chatbots designed to enhance security precautions, such as resetting forgotten passwords and granting additional access. Another way AI improves security in finance is through speech, facial, and fingerprint recognition. This added layer of security makes it more difficult for trespassers to bypass than traditional passwords. While these types of processes are still being perfected, AI-backed security solutions may completely replace usernames and passwords in the near future. 

Automate Reconciliation, Underwriting & Claim Management

AI is beneficial in corporate finance as it can better predict and assess loan risks. For companies looking to increase their value, AI technologies such as machine learning can help improve loan underwriting and reduce financial risk. AI technology can increase efficiency and automate workflows by accelerating underwriting processes, delegating tasks for human attention, offering better data-informed banking policies faster, and improving customer experiences. With AI, underwriters can accurately pinpoint optimal rates based on the individual customer for optimal risk management. AI-based pricing models also help reduce the time it takes to introduce new pricing frameworks across the underwriting lifecycle.

Summary

Fintech is one of the rising businesses, and its success depends solely on the technologies being deployed by industry experts. As technology advances rapidly, AI use in the FinTech industry will soon be more adapted for enhanced efficiency, improvised precision levels, and high-speed query resolution. AI in FinTech drives innovation, leading to personalized, fast, and secure services with higher customer satisfaction and global reach. Thus, artificial intelligence is digitizing finance like never before. With integrations, digital finance is reaching new heights as they create a better economic environment for banks and their clients.

Author Bio:

Rithvik is an analyst at ScryAI developing AI products. He received his bachelor's in Data Science from the IIT-Madras.

Follow ScryAI on LinkedIn and read more such blogs at our website: https://scryai.com/.

[digitalenthuastic]

What is artificial intelligence and how could it be used in business?

Artificial Intelligence (AI) refers to the simulation of human intelligence in machines that are programmed to think, learn, and perform tasks that typically require human intelligence. AI enables machines to analyze data, recognize patterns, make decisions, and adapt to new information or circumstances. It encompasses various techniques such as machine learning, natural language processing, computer vision, and robotics.

In the context of business, AI can be utilized in numerous ways to drive efficiency, enhance decision-making, and improve overall operations. Here are some key applications of AI in business:

Data Analysis and Insights: AI can process and analyze large volumes of data quickly and accurately, identifying patterns, trends, and insights that may not be apparent to human analysts. It enables businesses to gain a deeper understanding of customer behavior, market trends, and operational inefficiencies, leading to data-driven decision-making.

Automation and Process Optimization: AI-powered automation can streamline repetitive and time-consuming tasks, freeing up employees to focus on higher-value activities. Machine learning algorithms can automate data entry, customer support interactions, inventory management, and more, increasing operational efficiency and reducing errors.

Personalized Customer Experience: AI enables businesses to provide personalized experiences to customers. By analyzing customer data and behavior, AI algorithms can recommend products or services tailored to individual preferences, deliver targeted marketing campaigns, and enhance customer service through chatbots or virtual assistants.

Fraud Detection and Security: AI algorithms can detect patterns and anomalies in data, making them valuable in fraud detection and security applications. By analyzing vast amounts of transactional data, AI systems can identify potentially fraudulent activities, safeguarding businesses from financial losses and protecting sensitive information.

Predictive Analytics and Forecasting: AI models can analyze historical data to make predictions and forecasts. By leveraging machine learning algorithms, businesses can anticipate customer behavior, demand trends, and market fluctuations, allowing for more accurate planning, inventory management, and decision-making.

Natural Language Processing and Chatbots: AI-powered natural language processing (NLP) enables machines to understand and interact with human language. Chatbots and virtual assistants powered by AI can provide customer support, answer queries, and handle routine tasks, improving customer service and reducing response times.

Recommendation Systems: AI algorithms can analyze user preferences and behavior to provide personalized recommendations. This is particularly valuable in e-commerce, streaming platforms, and content curation, as businesses can offer targeted product recommendations, content suggestions, and cross-selling opportunities.

Supply Chain Optimization: AI can optimize supply chain processes by analyzing various factors such as demand, inventory levels, and transportation logistics. AI models can improve demand forecasting, optimize inventory management, and enhance route planning, leading to cost savings and improved operational efficiency.

Risk Assessment and Decision Support: AI algorithms can assess risks and assist in decision-making. In industries like finance and insurance, AI models can analyze vast amounts of data to assess credit risk, detect fraudulent claims, and support underwriting decisions, helping businesses make more informed choices.

It's important to note that AI implementation requires careful planning, data privacy considerations, and ethical guidelines to ensure responsible and beneficial use. While AI offers significant potential for businesses, it's crucial to align AI strategies with business goals and maintain transparency and accountability in its deployment.

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Cold Storage Construction Forecast to 2031 with Key Companies Profile, Supply, Demand and SWOT Analysis

Cold Storage Construction Market Research, 2031

The global cold storage construction market size was valued at $9.1 billion in 2021, and is projected to reach $26.2 billion by 2031, growing at a CAGR of 10.6% from 2022 to 2031.

The growth of cold storage construction is connected to the cold chain. Cold chain logistics solutions are widely used to transport and store vegetables, fruits, meat, medicines, and drugs. In addition, cold storage retains perishable goods' natural features for a long time by storing them in a refrigerated environment. A refrigeration system is used in a cold-storage facility to help maintain a suitable atmosphere and temperature in accordance with the requirements of each item being stored.  

The boost in the wealth of emerging economies is anticipated to trigger the accessibility of cold storage construction installation, which is anticipated to foster the growth of the market. In addition to that one of the key factors fueling the expansion of the cold storage construction market is the increase in global traffic for perishable goods. Additionally, users of temperature-controlled packaging and suppliers are constantly seeking to reduce the environmental impact of cold chain shipping. Moreover, the use of packaging products for storing solid, liquid, and semisolid forms of formulations, including capsules, topical drug formulations, tablets, and syrups, as well as the focus of various governments on improving healthcare infrastructure and insurance coverage have a significant impact on the cold storage construction market growth. The demand for cold storage construction is expected to be driven by the rise in demand for online grocery, the wider blending of retail & industrial space, and the rise in food takeaways from restaurants.  

Furthermore, the market expansion is accelerated by the boom in the usage of warehouse automation, which includes, robots, conveyor belts, cloud technology, energy management, and automated truck loading. A well-known essential component of supply chain management is refrigerated storage. . 

Major players have adopted various strategies such as expansion and acquisition to sustain the competition and improve the product portfolio. For instance, in July 2022, Americold Realty Trust, a global leader in temperature-controlled warehouses and logistics for the food industry, announced the grand opening of its newest facility in Dunkirk, New York with 181,000-square feet of cold storage and operational space, this LEED-certified facility features 25,000 pallet positions, to support cold storage needs in the western New York region. 

https://www.evernote.com/shard/s518/res/ab833067-e063-af4e-1758-342689a0919b

The cold storage construction market is segmented into Storage type, Warehouse Type, End User, and REGION. On the basis of storage type, the market is segmented into production stores, bulk stores, ports, and others. On the basis of warehouse type, the market is divided into private and semi-private warehouses and public warehouses. On the basis of end-user, the market is divided into food & beverage, pharmaceuticals, chemicals, and others. Region-wise, the global market analysis is conducted across North America, Europe, Asia-Pacific, and LAMEA. 

On the basis of storage type, the production stores segment generated the highest revenue in 2021, owing to tangible items protection throughout the production process including raw material, and semi-finished products. These are typically located in areas where the products are manufactured or procured. 

COMPETITION ANALYSIS 

The key players that operate in the cold storage construction market are Americold Realty Trust, Burries Logistics, Emergent Cold LatAm Management LLC, Hansen Cold Storage Construction, Lineage Logistics Holdings, LLC, NewCold, Primus Builders, Inc., Tippmann Group, United States Cold Storage, Inc., and VersaCold Logistics Services.

Full Report With TOC:-https://www.alliedmarketresearch.com/cold-storage-construction-market-A13486

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TOP 10 COMPANIES IN SMART WATER MANAGEMENT MARKET

The Smart Water Management market is expected to reach $21.2 billion by 2028, at a CAGR of 12.7% during the forecast period of 2021 to 2028.

Smart water management systems are deployed to provide a more efficient and reliable water supply system thus, reducing expenses and improving sustainability. These systems are enabled with intelligent devices capable of communicating and interacting with the entire system that help users to analyze the situation, optimize troubleshooting solutions and enable rapid responses. Consistently growing urbanization and the proliferating population is giving rise to excessive demands for smarter avenues to manage water effectively; consequently, the smart water management market is growing at a significant pace. 

Additionally, growing developments in smart cities and extensive support by the governments to adopt smart solutions for water management are further triggering the market growth. Although amidst COVID-19, the demands for smart solutions witnessed a decline, and smart city projects were postponed; hence, the market is anticipated to follow a slow recovery trend post-2021 with significant growth in the forecasted period.

Here are the top 10 companies operating in Smart Water Management Market

ABB Ltd.

                        ABB Ltd. is engaged in digital transformation solutions and services. It operates majorly through four business segments: Electrification Products, Industrial Automation, Motion Technology, and Robotics and Discrete Automation. The IIoT solutions are offered under the Industrial Automation segment, which is also the second largest revenue generating segment.

With its subsidiaries and a strong distribution network, the company has its geographic presence across the Americas, Europe, Asia, and the Middle East & Africa. Some of the major subsidiaries of ABB Ltd. are ABB Australia, Power-one, Inc. (U.S.), and Tropos Network (U.S.), among others.

Trimble Inc.

Trimble Inc. offers technology solutions that enable professionals and field workers to improvise and transform their business processes. The company is engaged in providing solutions to various industries such as water, agriculture, architecture, civil engineering, survey and land administration, construction, geospatial, government, natural resources, transportation, and utilities. 

The company has been investing in smart solutions based on IoT and analytics to a significant extent. Trimble’s Water Division specializes in office and field solutions for wireless monitoring and network management for water, field data collection, design and inspection, GIS mapping and work management, wastewater and stormwater utilities, manufacturers, and service providers across the world.

With its strong distribution network, the company has its presence across North America, Europe, Asia-Pacific, and Rest of the World.

Siemens AG

Siemens digital industries software is a subsidiary of Siemens AG that was founded in 1963 and is headquartered in Plano, U.S. The company operates through various business segments: Aerospace & Defense, Automotive, Consumer Products and Retail, Transportation, Energy and Utilities, Oil and Gas, and Insurance and Finance, among others. The company provides simulation and IIoT solutions for automation and control systems, identification and locating, industrial communication, industry software, tailor-made products, among others.

With its subsidiaries and a strong network of distribution, the company has its geographic presence across North America, Europe, Asia- Pacific, and Middle East & Africa. Some of its major subsidiaries of Siemens AG are Siemens Canada and Mendix (U.S.), among others.

IBM Corporation

IBM functions through five key segments: Cognitive Solutions, Technology Services & Cloud Platforms, Global Business Services, Systems, and Global Financing. The company manufactures and sells hardware & software and delivers numerous hosting and consulting services from mainframe processors to nanotechnology domains. The company has a diverse and vast products and services portfolio covering artificial intelligence, IoT, cloud computing, security, and more.

IBM is the world’s enterprise AI leader and largest cybersecurity enterprise. It provides services to enterprises of all sizes and leaders in diverse industries, including financial services, manufacturing, and retail. The company helps its clients transform their businesses and engage clients and employees in new ways.

Itron Inc.

Itron is one of the growing companies in the utility sector and is offering numerous innovative and secured solutions to its customers across the world. The company’s hardware, software, services, and solutions have empowered numerous clients at all proven scales, even in the least hospitable environments in the world. By analyzing the challenges faced by today’s consumers in managing their livelihood with changing environments, the company offers complex and technologically advanced infrastructure to cater to the growing demands. 

The company focuses mainly on electric, water, and gas utilities and offers numerous solutions in terms of AMR & AMI meters, distributed intelligence, analytics, energy management, smart city solutions, and IIoT solutions.

With its subsidiaries and strong distribution network, the company has its presence across North America, Europe, APAC, Middle East, and Latin America. Some of Itron’s major subsidiaries are Allmess GmbH (Germany), PT Mecoindo (Indonesia), Temetra Limited (Ireland), and Actaris ltda (Brazil).

 Meticulous Research in its latest publication on global Smart Water Management Market has predicted the growth of 12.7% during the forecast year 2021-2028

Suez Group

Suez Group has been in the water and wastewater treatment business for several decades. Since its incorporation, the company has successfully handled numerous projects in water, sanitation, waste collection, and recovery activities. The company offers a large portfolio of solutions that enables water resources protection and optimization. In the water industry, the company has expertise in water supply management, industrial effluent treatment, water networks management, digital technology for the environment, and on & off-site water services. 

The company is also engaged in offering various application-based solutions to the industries such as food & beverage, oil & gas, chemical & pharmaceutical, construction, power, mining & metals, and electronics & electrical products, among others. With its strong distribution network, the company has its presence across France, Europe, and Rest of the World.

Badger Meter, Inc.

Badger Meter, Inc. is a global manufacturer of products that are used for flow measurement and control technologies serving water utilities, municipalities, and commercial and industrial customers. The company offers innovative solutions to its customers with data and analytics to optimize their operations and contribute to the sustainable use of water. The company also provides a wide range of metering solutions to ensure every utility finds its tailored system.

With its subsidiaries and strong distribution network, the company has its presence across U.S., Asia, Canada, Mexico, Europe, Middle East, and other countries. Some of the subsidiaries of Badger Meter, Inc. are Analytical Technology, Inc. (U.S.), scan Messtechnik GmbH (Germany), Badger Meter de Mexico SA de CV (Mexico), Badger Meter France SAS (France), Badger Meter Canada, Inc. (Canada).

Arad Group

Arad Group is a smart water meter solutions provider. The company develops, manufactures, designs, sells, and supports its innovative water meters to residential, water management, and irrigation companies around the world. In addition, the company has been working on stable ultrasonic measurement technology to develop innovative and cost-effective ultrasonic water meters that are an essential part of the smart water management system. The innovative metering solutions offered by the company set new standards for performance, accuracy, and reliability.

With its subsidiaries and a strong distribution network, the company has its presence across the globe. Some of the subsidiaries of Arad Group include Arad Technologies Ltd. (Israel) and Contadores De Agua De Zaragoza S.A. (Spain).

Oracle Corporation

Oracle Corporation provides solutions and products to various industry verticals. The company offers autonomous databases, business analytics, developer tools, engineered systems, IT infrastructure, java solutions, middleware, applications, customer experience management solutions, enterprise performance management solutions, ERP solutions, human capital management solutions, supply chain management solutions, and NetSuite, among others. The company’s analytics solutions are designed for the corporate and education sectors and enhance the productivity and performance of the workforce. 

The company operates in several industry verticals, such as financial services, insurance, automotive, communications, construction and engineering, food & beverage, healthcare, high technology, higher education, hospitality, industrial manufacturing, life sciences, public sector, research, retail, and utilities.

With its subsidiaries and a strong distribution network, the company has its presence in North America, Europe, Asia-Pacific, and Latin America.

Schneider Electric SE

Schneider Electric SE is a leading digital transformation energy management company. The company ventures in automation in homes, buildings, data centers, infrastructure, and industries. The company has a presence in over 100 countries across the globe, and it is considered as one of the global leaders in power management solutions offering medium voltage, low voltage, and secure power management solutions in automation systems.

With its subsidiaries and a strong network of distribution, the company operates in North America, South America, Europe, Africa, and Asia-Pacific. Some of the major subsidiaries of Schneider Electric SE include Merten (Germany), Aveva Group plc (U.K.), and Square D (U.S.).

Amidst this crisis, Meticulous Research® is continuously assessing the impact of the COVID-19 pandemic on various sub-markets and enables global organizations to strategize for the post-COVID-19 world and sustain their growth. Let us know if you would like to assess the impact of COVID-19 on any industry here-https://www.meticulousresearch.com/download-sample-report/cp_id=5198

Authoritative Research on the Smart Water Management Market – Global Opportunity Analysis and Industry Forecast (2021-2028)

Need more information? Meticulous Research®’s new report of Smart Water Management Market covers each of these companies in much more detail, providing analysis on the following:

Recent financial performance of Smart Water Management     Market

Key products of Smart Water Management Market

Significant company strategies

Partnerships and acquisitions

Impact of COVID-19 on Smart Water Management Market

The Comprehensive report provides global market size estimates, market share analysis, revenue numbers, and coverage of key issues and trends.

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