#geospatial analytics for telecom network optimization

[cyberswift-story]

GIS-Based Solutions for Efficient Telecom Network Management

The telecom industry is undergoing rapid transformation, driven by the increasing demand for seamless connectivity, efficient network management, and improved customer experience. As networks become more complex, the need for innovative solutions to manage these networks has never been greater. Geographic Information System (GIS)-based solutions have emerged as a game-changer in the telecom sector, offering a robust platform for managing, analyzing, and visualizing network data. This blog explores how GIS-based solutions can revolutionize telecom network management, ensuring efficiency and reliability.

Learn more at https://www.cyberswift.com/blog/telecom-utility-solution-a-brief-overview/

[mdraihanurrahmanrocky]

Phone Number Data: The Digital Identifier Transforming Communication and Business

Introduction In today’s hyper connected digital world, phone numbers have evolved from mere contact points to powerful identifiers that fuel communication, commerce, security, and digital identity. “Phone number data” refers to the information associated with and derived from phone numbers, including their usage, location, metadata, and relationships to user identities. This data has become a valuable asset in sectors ranging from marketing to cybersecurity, but it also poses significant privacy and regulatory challenges. This article explores the meaning of phone number data, its applications, implications, and the future of how this data is used and protected.

What is Phone Number Data?

Phone number data encompasses a wide range of information linked to mobile or landline phone numbers. This can include:

Basic identifiers: Phone number, country code, carrier name, line type (mobile, landline, VoIP).

User metadata: Name, email, location, and other personal identifiers tied to the number.

Usage data: Call logs, text message records, and app interaction history.

Location data: Real-time or historical data based on tower triangulation or GPS (for mobile numbers).

Behavioral insights: Frequency of communication, network patterns, or geospatial movement trends.

Together, these components form a rich data  profile that organizations can leverage for various purposes phone number data from identity verification to targeted marketing.

Sources of Phone Number Data

Phone number data can originate from multiple sources:

Telecom Providers: Phone companies collect call logs, SMS activity, and data usage.

Apps and Websites: Many apps request users’ phone numbers for registration and may collect contact data and device information.

Public Records and Directories: Some databases aggregate public contact information from business listings, customer databases, or government records.

Data Brokers: Specialized firms compile phone number databases by scraping, purchasing, or licensing user data from various sources.

The way phone number data is collected and used depends significantly on regional privacy laws and user consent mechanisms.

Common Uses of Phone Number Data

1. Marketing and Customer Engagement

Businesses often use phone number data to run SMS marketing campaigns, personalized promotions, or customer support outreach. With platforms like WhatsApp Business, Viber, or SMS gateways, phone numbers become a direct channel to consumers.

Example: E-commerce companies may send cart reminders or shipping updates to users via SMS.

2. Authentication and Security

Phone numbers are a key part of multi-factor authentication (MFA). Services send verification codes via SMS or call to confirm a user's identity.

Use Cases:

Two-factor authentication (2FA)

Account recovery

Fraud detection via SIM swap detection

3. Lead Generation and Data Enrichment

Sales and marketing teams enrich existing leads by adding phone number data to contact records. Data providers offer reverse lookup tools to identify company roles, job titles, or social media profiles from a number.

4. Communication Analytics

Call centers and telecoms analyze phone number data to study patterns, optimize service delivery, and reduce call fraud or spam.

5. Government and Emergency Services

Authorities use phone data for contact tracing (e.g., during COVID-19), disaster alerts, and emergency location tracking. This data can also help law enforcement track criminal activity.

Phone Number Data in Business Intelligence

Phone numbers help businesses:

Map consumer journeys across channels

Create segmentation models based on call behavior

Track user response to campaigns

Monitor customer satisfaction in service departments

Modern CRMs (Customer Relationship Management systems) store not just the number but all associated interactions—calls, texts, and support tickets—to create a 360-degree view of each contact.

Risks and Concerns with Phone Number Data

Despite its usefulness, phone number data presents several risks, especially related to privacy and cybersecurity.

1. Privacy Invasion

Phone numbers are often linked to other personally identifiable information (PII). When shared without proper consent, it can result in privacy violations, spam, or harassment.

2. Phishing and Scam Calls

Fraudsters often spoof caller IDs or use leaked numbers to impersonate legitimate entities. This has led to a surge in robocalls, vishing (voice phishing), and SMS scams.

3. Data Breaches

Phone numbers are commonly leaked in data breaches, sometimes alongside passwords and personal data. Leaked phone data can be weaponized for identity theft or account hijacking.

Notable Incident: The 2019 Facebook data leak exposed phone numbers of over 500 million users, emphasizing the risks associated with poor phone data handling.

4. SIM Swapping

Hackers use phone number data to execute SIM swap attacks—porting a number to a new SIM to gain control of bank accounts, emails, and crypto wallets.

Legal and Regulatory Considerations

As data protection laws tighten globally, the handling of phone number data is under increased scrutiny.

GDPR (EU)

Considers phone numbers as personal data.

Requires explicit consent for collecting and processing.

Grants users the right to access, correct, or delete their data.

CCPA (California)

Gives consumers the right to opt out of phone data sales.

Requires companies to disclose what data is collected and why.

TRAI (India)

Imposes strict regulations on unsolicited commercial communication (UCC) to prevent spam.

Requires telemarketers to register and follow opt-in principles.

Organizations must implement proper data protection policies, encryption standards, and consent management practices to comply with these regulations.

Phone Number Data in the Age of AI and Automation

Artificial Intelligence (AI) and machine learning are transforming how phone number data is processed:

1. Predictive Analytics

AI models analyze call and message patterns to predict user behavior, identify churn risks, or target high-value customers.

2. Voice and Sentiment Analysis

AI can evaluate tone and emotion in voice calls to assess customer satisfaction or detect potential fraud.

3. Spam Detection

Machine learning algorithms detect spam calls and automatically block them based on number patterns and crowd-sourced data.

4. Virtual Assistants

Chatbots and voice bots use phone number data to authenticate users and personalize responses during interactions.

The Future of Phone Number Data

1. Decentralized Identity Systems

Blockchain and self-sovereign identity (SSI) systems may reduce reliance on centralized phone number databases, giving users more control over their identity and privacy.

2. eSIM and Number Portability

With the rise of eSIMs and number portability, users can change networks without changing their number. This increases the longevity of phone number data and its use as a long-term identifier.

3. Phone Numbers as Digital IDs

In many developing countries, phone numbers serve as digital IDs for banking, government services, and mobile payments. This trend is likely to expand as mobile-first economies grow.

4. Enhanced Consent and Transparency

Future data systems will likely include dashboards where users can see how their phone number data is used and revoke access in real-time.

Best Practices for Managing Phone Number Data

Organizations that collect and use phone number data should adhere to these best practices:

Obtain Explicit Consent: Always inform users why their number is needed and how it will be used.

Encrypt Data: Store numbers securely and ensure they are encrypted both at rest and in transit.

Implement Access Controls: Limit access to phone data to only those who need it.

Monitor for Breaches: Use tools to detect unauthorized access or data leaks.

Honor Opt-Out Requests: Make it easy for users to opt out of communications or data sharing

Thanks for reading..

SEO Expate Bangladesh Ltd.

[reallyglitteryflower]

Optimizing 5G Network Rollout with Advanced Geospatial Insights

Advintek Geoscience empowers telecom operators with cutting-edge geospatial analytics for precise and efficient 5G deployment. Leveraging MapInfo, our solutions optimize small cell placement, tackle high-frequency signal challenges, and ensure seamless urban connectivity. With insights into building density, population movement, and infrastructure mapping, we enhance network reliability and cost efficiency. Our geospatial expertise also aids in spectrum utilization and environmental impact assessment, enabling future-ready and sustainable 5G networks.

[digitalsolutionsfortelecos]

Data Analytics: The Key to Unlocking Success in CSP Operations

In today's rapidly evolving telecommunications landscape, data analytics has emerged as a powerful tool for Communication Service Providers (CSPs) to gain valuable insights and drive operational efficiency. With the exponential growth of data in the telecom industry, leveraging big data analytics has become crucial for CSPs to stay competitive and deliver top-notch services to their customers. Data analytics for the telecom sector is vital and CSPs can harness its power to optimize their operations.

What is data analytics and how can it help CSPs?

Data analytics for the telecommunications industry involves the collection, processing, and analysis of enormous amounts of data generated from different sources, such as network devices, customer interactions, billing systems, and social media platforms. By applying big data analytics solutions for telcos to this ocean of data, CSPs can uncover hidden patterns, trends, and correlations that enable them to make data-driven decisions and enhance their operational capabilities.

Role of data analytics in the telecom industry

Network optimization

CSPs manage complex networks that span across vast geographical areas, serving millions of subscribers. By leveraging big data analytics, CSPs can gain real-time visibility into network performance, identify bottlenecks, predict network congestion, and proactively optimize network resources. This not only improves the quality of service for customers but also helps CSPs to reduce operational costs and maximize their infrastructure investments.

Fraud detection

With the power of data analytics for the telecom, CSPs can analyze billing data in real-time, identify anomalies, and flag potential fraud cases. By leveraging big data analytics solutions for telcos, CSPs can automate fraud detection processes, reduce revenue leakages, and protect their financial interests. This not only safeguards the revenues of CSPs but also helps in maintaining trust among customers and stakeholders.

Customer experience management

Big data analytics in telecom helps in understanding and enhancing the customer experience. Telecommunications companies can analyze customer data, such as call records, browsing patterns, and feedback, to gain insights into customer behavior, preferences, and satisfaction levels. This information can be used to personalize services, improve customer support, and develop targeted marketing campaigns.

Internet of Things (IoT) management

With the proliferation of IoT devices, CSPs face the challenge of managing and analyzing vast amounts of data generated by these devices. Big data analytics in telecom enables them to collect, process, and derive insights from IoT data, leading to improved device management, optimized connectivity, and novel business opportunities in areas such as smart cities, connected cars, and industrial automation.

Predictive maintenance

Telecommunications infrastructure, including towers, switches, and cables, requires periodic maintenance to ensure seamless service. Analytics platforms for CSPs can help in predicting and preventing network failures by analyzing real-time performance data, historical maintenance records, and environmental factors. By implementing predictive maintenance strategies, CSPs can minimize downtime, lower costs, and optimize their maintenance schedules.

Location-based services

A big data analytics solution like Magic offered by 6D Technologies plays a key role in location-based services (LBS) offered by CSPs. By analyzing geospatial data, customer preferences, and contextual information, LBS applications can provide personalized services, such as targeted advertising, location-specific offers, and navigation assistance. Analytics platforms for CSPs help in extracting meaningful insights from location data and delivering relevant experiences to customers.

By the end of 2024, approximately 17.08 billion interconnected devices will span the globe, ushering in a new era of connectivity and accessibility. This exponential increase in connected devices has resulted in an unprecedented surge in data generation. Leveraging the potential of data analytics for the telecom, CSPs are harnessing this vast trove of information to significantly enhance their telecommunication services. Data analytics empowers CSPs to make data-driven decisions, enhance operational efficiency, improve customer satisfaction, and capitalize on new revenue streams. It plays a pivotal role in transforming raw data into actionable insights, enabling companies to stay competitive in an increasingly data-centric industry.To learn more about Magic, Big Data Analytics solution, please visit https://www.6dtechnologies.com/products-solutions/big-data-analytics/

[sudeepkedar]

Location Analytics Market Trends, Analysis & Forecast, 2032

As per a recent research report, Location Analytics Market to surpass USD 90 Bn by 2032.

Location Analytics Market is slated to demonstrate massive growth through 2032, owing to the rising demand for geographic predictive analytics for the prediction of maintenance needs, production deadlines, and infrastructure assessment. Location analytics services are slated to emerge as one of the most crucial aspects of marketing for enterprises, which is expected to drive the market share.

Request for Sample Copy report @ https://www.gminsights.com/request-sample/detail/4663        

The industry growth is likely to be compromised by the lack of regulatory norms and regulations. Nevertheless, the rising importance placed on location-based data to support business decision-making and the necessity to gather more information is anticipated to offer several growth opportunities for the market development.

Overall, the location analytics market is divided in terms of component, solutions, services, location positioning, application, industry verticals, and region.

 Based on component, the solution segment held over 55% market share in 2022 and is slated to grow exponentially through 2032. This can be credited to the rising demand from enterprises for sophisticated location-based solutions for diverse application requirements.

By solution, the thematic mapping and spatial analysis segment accounted for more than 20% market share in 2022 and is projected to gain considerable impetus by 2032. The growth can be attributed to the limited capabilities offered by these maps to visualize the geographical distribution of the earth's surface corresponding to business information. Ongoing innovations and partnerships in the space would further supplement the product demand. For instance, in 2022, India's Geospatial Energy Map by the NITI Aayog collaborated with ISRO to identify and locate all primary and secondary energy sources coupled with their transportation and transmission networks.

Request for customization this report @ https://www.gminsights.com/roc/4663

In the context of service, the professional service segment is expected to register notable gains during 2023-2032, as the key players operating in the industry offer consulting services that assist clients in achieving their goals and support them in putting such platforms in place.

Considering the location positioning, the outdoor positioning segment will demonstrate sturdy growth through 2032, owing to the surge in deployment of location analytics solutions to map business assets across the outdoor environment.

In terms of the application, the risk management segment held over 20% market share in 2022 and will grow considerably as location analytics solutions help enterprises evaluate risk concentrations.

By industry verticals, the IT & telecommunication sector is expected to depict over 15% CAGR by 2032. Location analytics help IT and telecom companies collect geographic information and offer context-based information for infrastructure optimization, service improvements, and much more, which is slated to augment the demand for location analytics in the industry.

About Global Market Insights:

Global Market Insights, Inc., headquartered in Delaware, U.S., is a global market research and consulting service provider; offering syndicated and custom research reports along with growth consulting services. Our business intelligence and industry research reports offer clients with penetrative insights and actionable market data specially designed and presented to aid strategic decision making. These exhaustive reports are designed via a proprietary research methodology and are available for key industries such as chemicals, advanced materials, technology, renewable energy and biotechnology.

Contact us:

Aashit Tiwari Corporate Sales, USA Global Market Insights Inc. Toll Free: +1-888-689-0688 USA: +1-302-846-7766 Europe: +44-742-759-8484 APAC: +65-3129-7718 Email: sales@gminsights.com  

[projectcubicle1]

Geolocation Intelligence Use Cases in the Telecom Sector

Geolocation Intelligence Use Cases in the Telecom Sector

Modern telecom sector constantly faces the issue of satisfying the demand for wide network coverage and newer mobile technologies while still maintaining existing systems (transmission towers, fiber networking, buried infrastructure, cellular antennas, etc). To achieve this goal, it’s critical to send field specialists for site inspection, gather information, do planning, inspect and analyze ground conditions. However, on-site work is time consuming, which pushes telecom companies towards searching for ways to increase efficiency, meaning cutting time, costs, and reducing complexity of working in the field. One of the ways to do so is to consider using the benefits of mapping, free satellite imagery, and geolocation. The use of geospatial technology is nothing new to the telecom sector, but modern technological development has led to the emergence of even more innovative use cases of geolocation intelligence implementation in the industry today. For example, the growing number of free high resolution images providers has already resulted in wide geospatial technology application across different domains, including telecom. Let’s see some of the most interesting cases illustrating the use of geolocation intelligence for different purposes.

Enhancing customer insight

By analyzing such characteristics as user behavior patterns, billing data, support requests, purchase history, service preferences, demographics, and of course location, telecom companies offer products and services on a personalized basis. This also allows companies to proactively present the right offer at the right time, in the right context, and to the right customers, which will increase conversion rates. Using real-time data, including one based on free high resolution satellite imagery analytics, that maps the user lifecycle, telecom companies are generating point offers and converting interested individuals into customers. Data such as customer demographics, buying behavior, and click-through patterns, combined with attributes such as location and content preferences, are used to create profitable new offers. This benefits companies as they create a picture of interactions with specific customers at different stages of the lifecycle to promote customized offers and campaigns.

Investment planning

Telecommunications companies need to plan investments based on a number of parameters. Such as future connectivity needs, strategic goals, projected return on investment, projected traffic, customer service quality, etc. Effectively combining data on network traffic, customer service metrics, revenue potential and location, combined with customer value data, provides the most efficient use of investments. Geolocation intelligence enables structure mapping, allows for overlaying that data with existing infrastructure and creating a map of potential locations. This information combined with demographic distribution data enables telecom providers to match their future capabilities to the needs of surrounding target populations effectively.

Business operations optimization

Previously, the telecom sector depended on historical data for network management. Now, companies in the telecom sector have begun using various data including free real time satellite images and analytics tools to build real-time capacity usage maps for tracking the quality of user interactions and send alerts in case of network congestion or potential outages. Data analytics helps continuously monitor network activity and predict future demand. In addition, using real-time data from cell towers, engineers are able to track service degradation in a particular location. In regions where there is excess capacity in the network, telecom companies organize special campaigns or promotions aimed at increasing the use of network resources. Capacity prediction models can also be developed based on the analysis of real-time data and traffic. Based on the analysis of data collected by comparing actual and predicted traffic, providers can plan to add additional capacity to the network in case of outages. This data can also help in detecting dropzones and predicting the appropriate position of cell towers. Integration of geolocation data and its analytics can help telecom companies make their processes smarter, faster, and more efficient overall. Using such visualization tools as HD maps based on free satellite images, specialists can easily detect faults, recurring maintenance tasks and outages, thus speeding up the collaboration process. Ultimately, satellite technology along with geolocation intelligence provides more possibilities to observe remote, sparsely populated, and dangerous areas much easier, faster, and in a more efficient way while retrieving the necessary geolocation data that will be tied to other data types. That is why governments, financial, and other organizations need to consider maximizing the benefits of an increasingly space-based global telecommunications infrastructure.   Read the full article

[vicky8588]

Geospatial Analytics Market

Market Dynamics:

Advancement in AI, ML and technological advancement is a major driving factor for the geospatial analytics market. Artificial intelligence and machine learning developments are assisting in improving corporate efficiency. For companies and governments to obtain reliable data insights, the integration of artificial intelligence and machine learning is becoming increasingly important. Nearly 80% of consumer datasets are georeferenced, and GeoAI's area of application has expanded dramatically as its usage in agriculture, transportation, climate forecasting, and the military has grown. For instance, Cray announced enhanced capabilities in June 2019 to empower data scientists and engineers innovating in the Geospatial AI sector. AI and ML save considerable time and energy by performing numerous tasks, such as classification of images, object detection, semantic segmentation, and segmentation of instances. Demand for geospatial analytics is projected to increase considerably as suppliers of geospatial analytics solutions progressively offer clients AI- and ML-based software solutions. However, increasing individual concerns related to confidential data and geoprivacy is expected to restrict geospatial analytics's growth in the upcoming years. Individuals who are worried about the privacy of their location-based data might refuse to allow crucial location data to be collected, which is required by some geospatial analytics apps.

Download free sample: https://www.datamintelligence.com/download-sample/geospatial-analytics-market

Covid 19 Analysis:

Manufacturing, logistics, transportation, retail, education, mining, telecom, oil & gas, and utility businesses have all suffered as a result of the lockdown. In the healthcare industry, however, the use of geospatial analytics to combat COVID-19 is on the rise. Healthcare experts, government decision-makers, and ground-level organizations have partnered to collect real-time data on COVID-infected patients and disseminate geographic information about the COVID-19 prone area in order to raise public awareness and slow the virus's spread. The Tunisian Ministry of Public Health, for example, created a georeferenced database of hospital bed capacity in June 2020. High-density locations with the highest demand for COVID-19 vaccinations are identified using geospatial analytics. Geospatial analytics improves supply chains by analyzing real-time data and enabling tracking and visualization.

Market Segmentation:

– By Type

·       Surface and Field Analytics

·       Geovisualization

·       Network Analysis

·       Artificial Neural Networks (ANN)

·       Others

– By Technology

·       Remote Sensing

·       GPS

·       GIS

·       Others

Competitive Landscape:

The global Geospatial Analytics market is consolidated, with the top 5 companies accounting for over 50% of global sales. Hexagon AB, ESRI Inc., L3 Harris Technologies, Atkins PLC, and General Electric dominate the global Geospatial Analytics market. These companies have used various strategies such as expansions, new product launches, agreements, partnerships, joint ventures, acquisitions, and others to increase their footprints in this market.

In 2020, Hexagon AB acquired PAS global. Customers will gain access to a comprehensive software portfolio to manage the industrial lifecycle, from plant design and maintenance to real-time situation awareness in the control room, cybersecurity risk management, and industrial digital transformation, thanks to the combination of PAS and Hexagon.

In September 2020, ESRI Inc Acquired frames, which would help it enhance its 3D capabilities. This will allow frames and Esri users to gather and analyze 3D data from the aerial, drone, and ground-based sensors in a fully automated end-to-end procedure.

In 2018, SPRING Technologies, a software supplier specializing in integrated solutions for optimizing machining workflows through machine tool simulation, toolpath verification and optimization, and machine tool management, has been acquired by Hexagon AB.

View Full Report: https://www.datamintelligence.com/research-report/geospatial-analytics-market

Enquiry Before Buying: https://www.datamintelligence.com/enquiry/geospatial-analytics-market

About Us

DataM Intelligence was incorporated in the early weeks of 2017 as a Market Research and Consulting firm with just two people on board. Within a span of less than a year, we have secured more than 100 unique customers from established organizations all over the world.

 For more information:

Sai Kiran

Sales Manager at DataM Intelligence

Email: info@datamintelligence.com

Tel: +1 877 441 4866

Website: www.datamintelligence.com

[airlinqdm]

IoT Ecosystem Enablement – The Magic in the Ecosystem

Today, industries are becoming more connected and they rely on new technology to keep the operations running professionally & employees pleased with the work environment. While these smart technologies might boost your business, silted systems provide only limited insights & analytics to help your industry to grow & improve. So, to keep up in today’s evolving era, the best way to leverage the data collected by smart devices is to create a fully connected IoT ecosystem enablement via a user-friendly platform.

What is an IoT services ecosystem?

An IoT service ecosystem is usually made of a combination of systems, software solutions & smart devices. In the IoT service enablement, all elements have to integrate seamlessly to work properly, perform your desired tasks & provide value to users. Often, numerous companies work together to create the IoT ecosystem. When each vendor adds specialized IoT devices & expertise, the result is a robust IoT service marketplace & an optimized smart building experience for occupants. The idea of the IoT ecosystem comes from biology. In the biological ecosystem, the community of organisms interact with each other & with the physical environment, causing the network of interactions & outcomes. IoT ecosystems are similar – digital components interacting with each other & with the physical environment.

IoT platforms are the key solution

There are no quick fixes for the challenges facing today’s IoT market. Certainly, there are a few companies that can affect major regulatory initiatives substantially. However, IoT platforms are the key tool to ameliorate and redress the challenges described in this whitepaper. In some instances, the IoT platforms enable application developers to rationalize & automate common features which would otherwise need additional time, effort, & expense. While in some cases, IoT software enables developers to combine devices & connect data with the enterprise-specific customer & ERP data as well as data from third-party sources to create valuable IoT applications.

By analyzing dozens of vendors through primary & secondary researches, has developed the taxonomy of software-related functions that considers being the entire IoT platform stack. At the highest level, this analysis finds that the IoT software platform will incorporate some combination of the following five functional areas. Each of these must be addressed to develop, onboard, operate & manage the IoT application –

Data management focuses on managing the flows of data between     applications & from the geospatial perspective. The key aspect of this     relative to IoT is ‘mashup’ of data from machines & sensors with data     from Business/enterprise systems; open the government databases, &     social media to automate or improve processes, and potentially synchronize     data, all in real-time.

Application enablement entails tools that assist IoT developers & implementers in rapidly and efficiently prototyping, building, integrating, & managing IoT applications. Application enablement platforms (AEPs) are often offered on a standalone basis in addition to being part of the larger IoT platforms. They offer business logic, like the ability to define rules & alerts that are common to most IoT applications, enabling developers to focus on differentiating aspects of     the application which are unique to the marketplace.

Connectivity management is applicable in the context of valued cellular connectivity services but is also necessary for the context of large-scale and private networks. In addition to their role as a part of a larger IoT platform, connectivity management platforms are also deployed on a standalone basis by mobile operators and offered by vendors. Their     primary role in the cellular context is to provide automated remote bulk     provisioning of the eSIM card-enabled devices directly by customers,     remote troubleshooting, security, authentication, flexible billing, rating, management of thresholds, and alerts, management of the connection     directly by the customer.

Device management or device clouds are often offered on a standalone basis by the IoT devices vendors to facilitate & encourage the adoption of these vendors’ devices for the IoT applications by customers. Device clouds perform several functions which center on network-centric device control, diagnostics, & optimization.

As industry & society change in fundamental ways, the result of ‘datafication’ enabled by the IoT platforms like AIRLINQ’s IoT Platform will play a key role in ameliorating the challenges to realizing the vision. The IoT market is transitioning from isolated point solutions to the pervasive & common data infrastructure. Telecoms, enterprises, & government entities are leveraging the new capabilities & functionalities of IoT applications to enhance efficiencies & offer new value propositions.

[sandlerresearch]

3D Mapping and Modeling Market by Component (Software Tools and Services), 3D Mapping Application, 3D Modeling Application, Vertical (Government and Defense, Engineering and Construction, Transportation and Logistics), and Region - Global Forecast to 2025 published on

https://www.sandlerresearch.org/3d-mapping-and-modeling-market-by-component-software-tools-and-services-3d-mapping-application-3d-modeling-application-vertical-government-and-defense-engineering-and-construction-transportati.html

3D Mapping and Modeling Market by Component (Software Tools and Services), 3D Mapping Application, 3D Modeling Application, Vertical (Government and Defense, Engineering and Construction, Transportation and Logistics), and Region - Global Forecast to 2025

High demand for 3D animation in mobile applications, games, and movies for enhanced viewing experience, and the advent of 3D-enabled display devices for better navigation experience to drive the growth of 3D mapping and modeling market

The global 3D mapping and modeling market size is expected to grow from USD 3.8 billion in 2020 to USD 7.6 billion by 2025, at a Compound Annual Growth Rate (CAGR) of 15.0% during the forecast period. 3D mapping and modeling is a technique of profiling of objects in 3D in order to map the objects in real-world. There are several ways for a 3D profiling of an area or object, such as using a pair of a stereo camera. Another method is to measure the depth of an object or feature from focus. It provides the latest technical methods for visualisation and gathering information. Moreover, 3D mapping and modeling is tool that creates 3D scenes of a location that benefits enterprises such as high rise development, building interior and exterior and effects of a disaster.

COVID-19 is disrupting the world, businesses, and economies, thus impacting the livelihood of people, their interaction, and the way they manage their businesses. The ability to sustain is becoming the new normal for enterprises as they are shifting their focus from growth opportunities to the implementation of drastic measures for mitigating  the impact of the COVID-19 pandemic. The competition among major 3D mapping and modeling companies is expected to be furious as most upcoming AI and analytics projects are kept on hold due to the pandemic. Hence, several companies would fight to gain a single project. Businesses are trying to return back to normal and facing multiple challenges on the customer as well as operational side. Meeting customer expectations in terms of optimizing processes, increasing security concerns due to various voice-related recording systems and networks, growing network connectivity issues, and declining industrial and manufacturing operations are some of the key business challenges. New practices such as work from home and social distancing are creating the need for remote monitoring, smart payment technologies, and building digital infrastructure for large-scale deployments. With a sudden surge in remote workers, there is an increase in the demand for advanced 3D mapping and modeling-based software tools and services to effectively store and safeguard a huge amount of data.

Among Software tools, the 3D modeling segment to record the higher growth during the forecast period

By software tools, the 3D mapping and modeling is segmented into 3D mapping software and 3D modeling software. 3D modeling software tools is expected to account for a higher market growth rate during the forecast period. The growth rate is attributed to the increasing demand and wide applications of 3D modeling tools across the media and entertainment vertical. 3D modeling is the process of developing a 3D replica of an object via specialized software and the product formed is a 3D model. It can be displayed through a computer simulation method. 3D models created from 3D objects are a collection of data points that can be collected via scanners. 3D models can demonstrate proposed buildings and landscapes through software architectural models. 3D solid models are created for non-visual simulations used in medical and engineering. It is also used for CAD applications.

Among services, the managed services segment to record the higher CAGR during the forecast period

The services segment in the 3D mapping and modeling market has been further divided into professional services and managed services. These services play a vital role in the functioning of 3D mapping and modeling software tools. The growth of managed services can be attributed to the provision of technical expertise, helping companies enhance their focus on the core business processes. 3D mapping and modeling vendors require technical support services and consulting services to quickly and smoothly deploy their software tools in the market. These services help maximize the value of enterprise investments. Service providers ensure end-to-end deployment and maintenance of 3D mapping and modeling software tools and address pre- and post-deployment queries.

Among 3D modeling applications, the animation and movies segment to record the highest CAGR during the forecast period

3D mapping and modeling software market is segmented on the basis of 3D modeling applications such as, product marketing, animation and movies, gaming and designing, architectural rendering, and others (simulation, sculpting, painting, and visualization).The increasing popularity of animated movies in the media and entertainment industry is expected to fuel the growth of animation and movies application. Moreover, the need to make customers understand designs properly by providing visual models to drive the use of 3D modeling for architectural rendering would also drive market growth. The demand for 3D modeling technology is augmented in the film industry, as it makes a noticeable impression on the industry by providing the finest animation practices. 3D full-length movies have increased the need for 3D modeling, which helps artists and animators develop detailed models of objects, including characters, landscapes, buildings, and more, to be used in animated films.

Among deployment mode, the cloud deployment segment to record the higher CAGR during the forecast period

The 3D mapping and modeling market by deployment mode includes the on-premises and cloud segments. Deployment refers to the setting-up of the hardware, operating systems, and applications required to manage the IT ecosystem. 3D mapping and modeling software tools can be deployed through either mode based on security, availability, and scalability. Cloud deployment offers advantages such as pay-per-use, and low installation and maintenance costs. This deployment mode is expected to show high growth in the near future.

Among organization size, the SME’s segment to record the higher CAGR during the forecast period

3D mapping and modeling is widely being used across major verticals. Its adoption is increasing, irrespective of organization size. Based on organization size, the 3D mapping and modeling market is segmented into SMEs and large enterprises. Organizations are categorized among these two types based on their employee strength. SMEs have realized the necessity to structure large volumes of data, which increases with time. The adoption of 3D mapping and modeling software tools and services is expected to be high among SMEs due to the availability of low-cost cloud deployment options. The ever-growing volume of geospatial data due to the use of social media, mobile applications, and entertainment devices is one of the major factors increasing the adoption of 3D mapping and modeling software tools and services among SMEs and large enterprises.

Among verticals, the healthcare and life sciences vertical to record the higher CAGR during the forecast period

3D mapping and modeling is gaining traction across key verticals, owing to the proliferation of geospatial data and demand for operational efficiency by organizations. The 3D mapping and modeling market by vertical into engineering and construction, retail and consumer goods, IT and telecom, manufacturing, healthcare and life sciences, transportation and logistics, media and entertainment, government and defense, energy and utilities, and others (education, agriculture, automotive, and IT and Telecom). In the healthcare and life sciences vertical, there is a rise in the use of 3D mapping and modeling software tools across various medical devices, such as X-ray, CT scan, and MRI. 3D mapping is used in the healthcare industry to get a clear view of the inner parts of the body and to understand human anatomy. This mapping technology helps surgeons to perform advanced surgeries such as removal of any constrictions inside the body by providing a 3D map of the organ. Advanced 3D modeling and image processing is used to create 3D surface models and 3D medical multi-modality imaging from the 3D CT/MRI images.

Among regions, North America to hold the largest market size during the forecast period

North America is expected to hold the largest market size in the global 3D mapping and modeling market during the forecast period. The key factor favoring the growth of the 3D mapping and modeling market in North America is the increasing demand for advanced customer viewing experience by small and medium businesses and government agencies would fuel the demand for 3D mapping and modeling products in North America. Europe is expected to be in second position in terms of market size and market share during the forecast period. The delivery of unprecedented manufacturing productivity improvements and increased speed and reliability of quality assurance and validation processes are some of the factors driving the 3D mapping and modeling market growth in Europe. APAC is expected to record the fastest growth rate during the forecast period. The 3D mapping and modeling market is expected to witness considerable developments and adoption of solutions across APAC during the forecast period. The increasing number of players across different regions is further expected to drive the 3D mapping and modeling market.

Breakdown of primaries

In-depth interviews were conducted with Chief Executive Officers (CEOs), innovation and technology directors, system integrators, and executives from various key organizations operating in the 3D mapping and modeling market.

By Company: Tier I: 34%, Tier II: 43%, and Tier III: 23%

By Designation: C-Level Executives: 50%, Directors: 30%, & Other level: 20%

By Region: North America: 30%, APAC: 25%, Europe: 30%, Latin America: 10%, Middle East and Africa: 5%

The report includes the study of key players offering 3D mapping and modeling software tools and services. It profiles major vendors in the global 3D mapping and modeling market. The major vendors in the global 3D mapping and modeling market includeAutodesk (US), Saab AB (Sweden), Golden Software (US), Trimble (US), Bentley Systems (US), Alphabet (US), Intermap Technologies (US), Airbus (The Netherlands), Esri (US), CyberCity 3D (US), Topcon (Japan), Dassault Systèmes (France), Adobe (US), Pix4D (Switzerland), Pixologic (US), Flight Evolved (US), MAXON (Germany), Onionlab (Spain), The Foundry Visionmongers (UK), Mitsubishi Electric (Japan), Apple (US), WRLD (UK), GeoDigital (US), GeoSLAM (UK), Mapbox (US), DeepMap (US), Civil Maps (US), Hivemapper (US), Ivl5 (US), Shapr3D (Hungary), Innersight (UK), Astrivis (Switzerland), Pointivo (US), and Dynamic Map Platform (Japan).

Research Coverage

The 3D mapping and modeling market is segmented by component, 3D mapping application, 3D modeling application, deployment mode, organization size, vertical, and region. A detailed analysis of the key industry players has been undertaken to provide insights into their business overviews; services; key strategies; new service launches; partnerships, agreements, and collaborations; business expansions; and competitive landscape associated with the global 3D mapping and modeling market.

Key Benefits of Buying the Report

The report would help the market leaders/new entrants in the following ways:

It comprehensively segments the 3D mapping and modeling market and provides the closest approximations of the revenue numbers for the overall market and its sub segments across regions.

It would help stakeholders understand the pulse of the market and provide information on the key market drivers, restraints, challenges, and opportunities.

It would help stakeholders understand their competitors better and gain more insights to enhance their positions in the market. The competitive landscape section includes a competitor ecosystem, new service developments, partnerships, and acquisitions.

[industryinsights-blog1]

Location Intelligence Market Scale Worth $25.25 Billion By 2025 | CAGR: 15.3%

San Francisco, 24 Sep 2018: The global location intelligence market size is anticipated to reach USD 25.25 billion by 2025, according to a new study by Grand View Research Inc. It is anticipated to expand at a CAGR of 15.3% over the forecast period. Increasing penetration of network infrastructure and smart devices coupled with rapid digitization give organizations access to diverse information about consumers, system performance, and assets among others. This factor is anticipated to spur the global location intelligence market. Furthermore, rising demand for location data to enhance business operations and to deliver personalized services is expected to further propel market growth.

Location intelligence is a business intelligence tool capability enabled by data collected from Internet of Things (IoT) and Geographic Information System (GIS) embedded devices. It enables businesses to identify consumer trends, buyer behavior, and other information about niche markets. This helps organizations make informed decisions, deliver better products and services, and mitigate market uncertainties. Organizations are incorporating real-time location monitoring capabilities in various devices, especially smartphones, for monitoring and recording geographic position of consumers to analyze trends, improve customer experience, and optimize business operations.

Majority of consumer electronics manufacturers are incorporating a variety of software and hardware components to collect consumer data over the internet. This enables them to target right audience and gain market share. Booming smartphone and smart devices industry in Asia Pacific (APAC) is expected to drive the market growth. Steady rise of investments in IoT technologies, number of smartphone users, and spending on connected devices in APAC countries are predicted to drive the location intelligence market over the forecast period. However, lack of network infrastructure, data privacy, awareness about geospatial and predictive analytics, as well as various operational challenges can hinder market growth.

To request a sample copy or view summary of this report:  www.grandviewresearch.com/industry-analysis/location-intelligence-market

Further key findings from the study suggest that:

North America accounted for the largest market share in 2017, owing to highest adoption of IoT and presence of key players, such as Google LLC, Apple Inc., Qualcomm Inc., TIBCO Software Inc., ESRI, and HERE

European Commission is heavily investing in IoT infrastructure and location intelligence technologies to accelerate market development in the region

Asia Pacific is expected to experience significant growth over the forecast period, owing to rising number of smartphone users and service providers, enhancement of networking technologies, and rising use of social media

Transportation and logistics accounted for over 19.0% of the location intelligence market in 2017

Technological advancements in network communication, position determination techniques, and sensor technologies enable organizations to adopt various innovative location intelligence tools

In 2017, sales and marketing optimization and customer management applications accounted for over 20.0% and 17.0% market share respectively. These applications enable assessment of spending patterns, consumer behavior, and forecast sales enabling optimization of profitability.

Grand View Research has segmented the global location intelligence market on the basis of application, service, vertical, and region:

Location Intelligence Application Outlook (Revenue, USD Million, 2015 - 2025)

Workforce Management

Asset Management

Facility Management

Risk Management

Remote Monitoring

Sales & Marketing Optimization

Customer Management

Others

Location Intelligence Service Outlook (Revenue, USD Million, 2015 - 2025)

Consulting

System Integration

Others

Location Intelligence Vertical Outlook (Revenue, USD Million, 2015 - 2025)

Retail & Consumer Goods

Government & Defense

Manufacturing & Industrial

Transportation & Logistics

BFSI

IT & Telecom

Utilities & Energy

Media & Entertainment

Location Intelligence Regional Outlook (Revenue, USD Million, 2015 - 2025)

North America

Europe

Asia Pacific

South America

Middle East & Africa (MEA)

Access press release of this research report by Grand View Research: www.grandviewresearch.com/press-release/global-location-intelligence-market

About Grand View Research:

Grand View Research, Inc. is a U.S. based market research and consulting company, registered in the State of California and headquartered in San Francisco. The company provides syndicated research reports, customized research reports, and consulting services. To help clients make informed business decisions, we offer market intelligence studies ensuring relevant and fact-based research across a range of industries, from technology to chemicals, materials and healthcare.

For More Information: www.grandviewresearch.com

[mrrolandtfranco]

Live from 2017 GeoConX: Startups Help Utilities and Telecoms Prepare for the Future

Over the past 25 years, the annual Esri GeoConX Conference has become the largest annual geospatial event in the electric, gas and telecommunications industries. At the event, professionals and Esri users from both industries converge to network, collaborate, and learn as a larger, unified community. This year the conference occurs in Chicago, from September 5-8th.

This year’s conference focuses on how attendees can employ the latest GIS technology to break barriers—from business and technical barriers, to communications and information barriers. While attendees explore products and services with familiar faces on the expo floor, they’ll also discover a lineup of emerging businesses.

The Esri Startup Zone at GeoConX features five Esri Emerging Partners that introduce innovative GIS solutions for electric and gas utility challenges. Be sure to make time to visit these companies!

EXHIBITING STARTUP PARTNERS:

Company Description Booth Aerial Insights Artificial Intelligence powered solutions for asset management and vegetation monitoring. Leverage the power of data with Aerial Insights. Z3 DataCapable Optimize emergency response and geospatial visualizations with real-time alerts. DataCapable transforms event awareness with media rich maps and social media insights. Z1 Dispatchr Dispatchr provides a suite of adaptive cloud and mobile services that through geospatial insights, help utilities and other consumer driven organizations strengthen their fragile yet critical infrastructures. Z5 Groundvu GIS requires high quality, reliable, rapid delivery of ArcGIS ready data. At GroundVu, we fly and drive your assets, using cameras to create 3D GIS. Z2 Meemim Inc. The world’s first, Meemim vGIS is the mixed-reality GIS visualization application that delivers real-time holographic visualization of underground pipes, valves, cables and other utility objects. Z6

About the Esri Startup Program

The Esri Startup Program is a free three-year program that gives emerging businesses the tools to build mapping and location analytics capabilities into their products. Qualifying startups receive cloud services, software, training and support, content, and other opportunities to help them succeed.

“Esri is committed to the startup community,” said Kurt Daradics, Esri’s Startup Program Manager. “We understand the challenges that emerging businesses face to quickly bring products to market and developing customers. Startups have been transforming our culture and this extends into the enterprise. Esri utility and telecom startups are delivering innovative solutions with intuitive interfaces that extend the value and power of the ArcGIS platform.”

For DataCapable, “Esri’s Startup Program is all about collaboration” said Peter DiSalvo, DataCapable’s Co-Founder and CTO. “The modern utility needs to actively monitor and engage their customers at all levels. Being part of GeoConX is an opportunity for us to share our integration with ArcGIS Online and enable existing Esri utility customers to maximize the value of their current GIS investments.”

Learn more about GeoConX: esri.com/geoconx.

from ArcGIS Blog http://ift.tt/2f1VhMP

[sandlerresearch]

In-Memory Computing Market by Component (Solutions & Services), Solution (IMDB (OLTP & OLAP), IMDG, and Data Stream Processing), Service, Application (Risk Management & Fraud Detection, Predictive Analysis), Vertical, and Region - Global Forecast to 2025 published on

https://www.sandlerresearch.org/in-memory-computing-market-by-component-solutions-services-solution-imdb-oltp-olap-imdg-and-data-stream-processing-service-application-risk-management-fraud-detection-predictive-ana.html

In-Memory Computing Market by Component (Solutions & Services), Solution (IMDB (OLTP & OLAP), IMDG, and Data Stream Processing), Service, Application (Risk Management & Fraud Detection, Predictive Analysis), Vertical, and Region - Global Forecast to 2025

Exponential growth of big data to improve machine-driven decision-making, decrease in the overall cost of RAM  and TCO, and an increase in production with real-time and low-latency transactional processing to drive the growth of IMC market

The global IMC market size is expected to grow from USD 11.4 billion in 2020 to USD 24.5 billion by 2025, at a Compound Annual Growth Rate (CAGR) of 16.5% during the forecast period. In-Memory Computing (IMC) is a type of middleware software that enables users to store data in RAM, across a cluster of computers, and process it in parallel. It primarily relies on keeping data in servers’ RAM for processing it at faster speeds. It especially relates to processing problems that require extensive access to data analytics, reporting, or warehousing and big data applications. The explosion of big data has prompted much research to develop systems to support ultra-low latency services and real-time data analytics. IMC offers one or multiple strategies for in-memory backups, durable storage backups, and disk-based swap space overflow to end users. It provides a comprehensive tiered storage approach, wherein users can decide what portion of the overall data set is stored in RAM and is a local disk swap space.

COVID-19 is disrupting the world, businesses, and economies, thus impacting the livelihood of people, their interaction, and the way they manage their businesses. The ability to sustain is becoming the new normal for enterprises as they are shifting their focus from growth opportunities to the implementation of drastic measures for mitigating  the impact of the COVID-19 pandemic. The competition among major IMC companies is expected to be furious as most upcoming AI and analytics projects are kept on hold due to the pandemic. Hence, several companies would fight to gain a single project. Businesses are trying to return back to normal and facing multiple challenges on the customer as well as operational side. Meeting customer expectations in terms of optimizing processes, increasing security concerns due to various voice-related recording systems and networks, growing network connectivity issues, and declining industrial and manufacturing operations are some of the key business challenges. New practices such as work from home and social distancing are creating the need for remote monitoring, smart payment technologies, and building digital infrastructure for large-scale deployments. With a sudden surge in remote workers, there is an increase in the demand for advanced IMC-based solutions and services to effectively store and safeguard a huge amount of data. For instance, Netflix has witnessed nearly 16 million new users, a huge surge, in media streaming in the last quarter of 2020.

Among Solutions, the IMDB segment to record the highest growth during the forecast period

By solution, the IMDB segment is expected to account for a higher market share during the forecast period. The highest market share of the IMDB segment is attributed to the increasing demand for boosting performance and scalability, and building real-time applications, which are the major factors for the fast growth of the IMC market across the globe. IMDB solutions also help reduce development and operational costs through standardization on an IMC system. IMC solutions comprise In-Memory Data Grid (IMDG), In-Memory Database (IMDB), and Streaming Data Analysis. These solutions are a type of middleware software that enables businesses to store data in RAM, across a cluster of computers, and process it in parallel. Most of these solutions offered are claimed to be easy to deploy and are feature-rich to address complex computing rigors and requirements. IMC solutions are designed from the ground up to store data in a distributed fashion, where the entire dataset is divided into individual computers’ memory, each storing only a portion of the overall dataset. Once data is partitioned, parallel distributed processing becomes a technical necessity because data is stored in a partitioned way.

Among services, the managed services segment to record the higher CAGR during the forecast period

The services segment in the IMC market has been further divided into professional services and managed services. These services play a vital role in the functioning of IMC solutions. IMC vendors require technical support services and consulting services to quickly and smoothly deploy their solutions in the market. These services help maximize the value of enterprise investments. Service providers ensure end-to-end deployment and maintenance of IMC solutions and address pre- and post-deployment queries.

Among applications, the predictive analysis segment to record the higher CAGR during the forecast period

IMC solutions have emerged as an important requirement for enterprises to conduct the accurate analysis of data stored in the RAM of servers and storage. Even enterprises with limited financial resources and IT expertise have started implementing IMC-enabled applications to help non-technical users to quickly perform complex data analysis. IMC product capabilities are integrated with diverse business applications scattered through different verticals and designed to replenish the unique demands of business segments. Apart from established players in the IMC industry, the new entrants in the market are introducing new solutions to lure customers. The market players are focusing on meeting the demands of customers with unique product features. The report segments the overall IMC market by the following business applications: risk management and fraud detection, sentiment analysis, geospatial/GIS processing, sales and marketing optimization, predictive analysis, supply chain management, and others (image processing, route optimization, claim processing and modelling, and trade promotion simulations).

Among deployment mode, the cloud deployment segment to record the higher CAGR during the forecast period

The IMC market by deployment mode includes the on-premises and cloud segments. Deployment refers to the setting-up of the hardware, operating systems, and applications required to manage the IT ecosystem. IMC solutions can be deployed through either mode based on security, availability, and scalability. Cloud deployment offers advantages such as pay-per-use, and low installation and maintenance costs. This deployment mode is expected to show high growth in the near future.

Among organization size, the SME’s segment to record the higher CAGR during the forecast period

IMC is widely being used across major verticals. Its adoption is increasing, irrespective of organization size. Based on organization size, the IMC market is segmented into SMEs and large enterprises. Organizations are categorized among these two types based on their employee strength. SMEs have realized the necessity to structure large volumes of data, which increases with time. The adoption of IMC solutions and services is expected to be high among SMEs due to the availability of low-cost cloud deployment options. The ever-growing volume of data due to the use of social media, mobile applications, and entertainment devices is one of the major factors increasing the adoption of IMC solutions and services among SMEs and large enterprises.

Among verticals, the healthcare and life sciences vertical to record the higher CAGR during the forecast period

IMC is gaining traction across verticals, owing to the proliferation of data and demand for operational efficiency by organizations. Enterprises are harnessing the value of IMC as it promises to facilitate business users with the in-memory processing of data, enabling swift decision-making through faster business insights. The market is segmented by vertical which includes BFSI, retail and eCommerce, government and defense, healthcare and life sciences, transportation and logistics, IT and telecom, energy and utilities, media and entertainment, and others. The others vertical comprises education, manufacturing, and travel and hospitality. The BFSI vertical is the major revenue contributor to the IMC market due to the early adoption of IMC solutions in the vertical.

Among regions, North America to hold the largest market size during the forecast period

North America is expected to hold the largest market size in the global IMC market during the forecast period. The key factor favoring the growth of the IMC market in North America is the increasing demand for analytics and advanced analytics platforms by small and medium businesses and government agencies would fuel the demand for IMC products in North America. Europe is expected to be in second position in terms of market size and market share during the forecast period.                 The rising adoption of cloud and IoT, and increasing use of the web are some of the factors driving the IMC market growth in Europe. APAC is expected to record the fastest growth rate during the forecast period. The IMC market is expected to witness considerable developments and adoption of solutions across APAC during the forecast period. The increasing number of players across different regions is further expected to drive the IMC market.

Breakdown of primaries

In-depth interviews were conducted with Chief Executive Officers (CEOs), innovation and technology directors, system integrators, and executives from various key organizations operating in the IMC market.

By Company: Tier I: 34%, Tier II: 43%, and Tier III: 23%

By Designation: C-Level Executives: 50%, Directors: 30%, & Other level: 20%

By Region: North America: 30%, APAC: 25%, Europe: 30%, Latin America: 10%, Middle East and Africa: 5%

The report includes the study of key players offering IMC solutions and services. It profiles major vendors in the global IMC market. The major vendors in the global IMC market include Microsoft (US), Oracle (US), SAP (Germany), IBM (US), SAS Institute (US), TIBCO (US), Software AG (Germany), Fujitsu (Japan), Red Hat (US), Altibase (US), GigaSpaces (US), GridGain (US), Hazelcast (US), MongoDB (US), Exasol (Germany), Intel (Germany), Qlik (US), Salesforce (US), Workday (US), Teradata (US), Kognitio (UK), Enea (Sweden), VoltDB (US), McObject (US), and MemSQL (US).

Research Coverage

The IMC market is segmented by component, application, deployment mode, organization size, vertical, and region. A detailed analysis of the key industry players has been undertaken to provide insights into their business overviews; services; key strategies; new service launches; partnerships, agreements, and collaborations; business expansions; and competitive landscape associated with the global IMC market.

Key Benefits of Buying the Report

The report would help the market leaders/new entrants in the following ways:

It comprehensively segments the IMC market and provides the closest approximations of the revenue numbers for the overall market and its sub segments across regions.

It would help stakeholders understand the pulse of the market and provide information on the key market drivers, restraints, challenges, and opportunities.

It would help stakeholders understand their competitors better and gain more insights to enhance their positions in the market. The competitive landscape section includes a competitor ecosystem, new service developments, partnerships, and acquisitions.