#Healthcare Application Programming Interfaces (API) Market Forecast
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meditechinsight01 · 1 month ago
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Global Healthcare IT Integration Market: How Telehealth Is Contributing to 12% CAGR by 2030
The Healthcare Information Technology (IT) Integration market is expected to expand at a CAGR of ~12% during the forecast period. Key factors driving this growth include the growing adoption of electronic health records (EHRs) and other healthcare IT solutions, the rising demand for telehealth and remote patient monitoring, supportive government regulations and incentives for healthcare IT integration, increasing healthcare costs, advancements in AI, cloud-based healthcare IT solutions, and the Internet of Medical Things (IoMT), as well as the expanding use of connected care technologies to integrate patient data into healthcare systems. 
Healthcare information technology (HIT) integration is the process of connecting and consolidating data from diverse healthcare systems, applications, and devices to ensure seamless data exchange, interoperability, and enhanced healthcare delivery. This encompasses information from electronic health records (EHRs), medical devices, laboratory information systems (LIS), and various other healthcare IT solutions.
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Growing adoption of EHR in healthcare IT integration fuels its demand
As healthcare organizations shift to digital systems, the demand for seamless interoperability and data exchange has increased, driving the need for IT integration solutions. Electronic health record (EHR) integration connects an organization's EHR software with other essential healthcare systems, enabling providers and staff across various departments to access patient records efficiently. This integration is facilitated through application programming interfaces (APIs), which serve as a bridge between different software solutions.
EHR integration and healthcare interoperability ensure smooth electronic data exchange within hospitals and clinics, allowing patient records to be accessed across multiple platforms for improved coordination and productivity. Governments worldwide have introduced policies, regulations, and financial incentives to accelerate EHR adoption. Additionally, the rise of telemedicine and remote patient monitoring (RPM) especially post-pandemic has further fueled the need for EHR integration with digital health platforms. With the rapid pace of digital transformation in healthcare, IT integration solutions will continue to be essential for enhancing efficiency, patient outcomes, and data-driven decision-making. For instance, in November 2024, Suki announced two new partnerships with electronic health records (EHR) vendors, MEDENT and Azalea Health, who will each use Suki’s AI engine Suki Platform to directly embed AI capabilities within their respective solutions, enhancing user experience and improving patient care.
Rising demand for telehealth and remote patient monitoring drive market growth
The COVID-19 pandemic greatly accelerated the adoption of telehealth services, establishing virtual care as a key component of modern healthcare. Telehealth applications enable doctors and patients to connect remotely, eliminating the need for physical presence in the same city. EHR-telehealth platform integration ensures seamless access to patient records during virtual consultations, while API-enabled data sharing facilitates real-time exchange of medical information between telehealth providers, pharmacies, and laboratories. This allows doctors to review patients’ health histories, access recent test results and scans, and make informed diagnoses.
Having access to comprehensive medical records is essential for effective treatment, and EHR data integration enhances telehealth platforms by enabling physicians to deliver more informed care, especially for patients who face travel limitations. Additionally, the Internet of Medical Things (IoMT) and wearable health technologies are revolutionizing remote patient monitoring by providing continuous health tracking beyond traditional clinical settings. Moreover, the integration of AI and machine learning in telehealth and remote patient monitoring (RPM) is advancing diagnostics, clinical decision support, and patient monitoring, further improving healthcare outcomes.
Competitive Landscape Analysis
The global healthcare information technology (IT) integration market is marked by the presence of established and emerging market players such as Allscripts Healthcare Solutions Inc.; Oracle Cerner; GE Healthcare; IBM Corporation; Siemens Healthcare GmbH; Lyniate; InterSystems Corporation; Summit Healthcare; Epic Systems Corporation; Orion Health; Redox, Inc.; Nextgen Healthcare Inc.; Interfaceware, Inc.; Koninklijke Philips; Oracle; Qualcomm Life Inc.; Suki; Capsule Technologies Inc.; Cerner Corporation; Infor Inc.; McKesson Corporation; and Meditech; among others. Some of the key strategies adopted by market players include new product development, strategic partnerships and collaborations, and investments.
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Market Segmentation
This report by Medi-Tech Insights provides the size of the global healthcare information technology (IT) integration market at the regional- and country-level from 2023 to 2030. The report further segments the market based on product, mode of services, and end user.
Market Size & Forecast (2023-2030), By Product, USD Million
Interface/Integration Engines
Medica Device Integration Software
Media Integration Software
Other Integration Tools
Market Size & Forecast (2023-2030), By Mode of Services, USD Million
Support and Maintenance Services
Implementation and Integration Services
Training and Education Services
Consulting Services
Market Size & Forecast (2023-2030), By End User, USD Million
Hospitals
Laboratories
Clinics
Diagnostic Imaging Centres
Others
Market Size & Forecast (2023-2030), By Region, USD Million
North America
US
Canada
Europe
UK
Germany
France
Italy
Spain
Rest of Europe
Asia Pacific
China
India
Japan
Rest of Asia Pacific
Latin America
Middle East & Africa
About Medi-Tech Insights
Medi-Tech Insights is a healthcare-focused business research & insights firm. Our clients include Fortune 500 companies, blue-chip investors & hyper-growth start-ups. We have completed 100+ projects in Digital Health, Healthcare IT, Medical Technology, Medical Devices & Pharma Services in the areas of market assessments, due diligence, competitive intelligence, market sizing and forecasting, pricing analysis & go-to-market strategy. Our methodology includes rigorous secondary research combined with deep-dive interviews with industry-leading CXO, VPs, and key demand/supply side decision-makers.
Contact:
Ruta Halde  Associate, Medi-Tech Insights  +32 498 86 80 79  [email protected]
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rainyducktiger · 1 month ago
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Investment Insights: Growth Pathways in the Fintech as a Service Market
In an age where digital transformation is reshaping industries at unprecedented speeds, the financial services sector has undergone one of the most significant overhauls through Fintech as a Service (FaaS). From payment gateways and embedded finance to digital lending and AI-driven risk assessment, FaaS is breaking down the barriers that once kept traditional finance institutions, startups, and non-financial businesses from innovating.
As the global economy pivots toward real-time financial services, the Fintech as a Service market is expected to expand exponentially, with wide-reaching implications for how businesses and consumers interact with money.
Market Overview
The global Fintech as a Service Market was valued at approximately USD 280–310 billion in 2023 and is projected to reach over USD 950 billion by 2032, growing at a compound annual growth rate (CAGR) of around 14–17% during the forecast period.
This growth is driven by the rising demand for flexible financial infrastructure, API-driven services, digital payment solutions, and embedded finance. Organizations of all sizes — from startups to Fortune 500 companies — are embracing FaaS to reduce operational complexity, ensure compliance, and speed up go-to-market time.
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What is Fintech as a Service (FaaS)?
At its core, FaaS enables businesses to integrate financial services into their platforms without developing the systems from scratch. Think of it as financial capabilities "as a service" — available via cloud-based APIs, software development kits (SDKs), and customizable infrastructure.
This model allows companies to "plug and play" services like:
Digital payments
Lending and credit scoring
Identity verification
Wealth management
Cryptocurrency transactions
Regulatory compliance
Essentially, FaaS democratizes access to advanced financial tools, reducing both the time and capital investment required to innovate in financial services.
Market Drivers
1. Rise of Embedded Finance
One of the strongest growth accelerators for the FaaS market is the surge in embedded finance — where non-financial companies integrate financial services into their platforms. From e-commerce checkout financing (buy now, pay later) to in-app banking and insurance offerings, FaaS providers enable seamless integration of these services.
2. API Economy Expansion
APIs (Application Programming Interfaces) lie at the heart of the FaaS model. The API-first approach offers flexibility and scalability, enabling businesses to add new financial functionalities without rewriting existing systems.
This has empowered industries ranging from retail and healthcare to logistics and entertainment to launch new financial products swiftly.
3. Digital-First Consumer Behavior
Post-pandemic, digital financial services have become the norm rather than the exception. Consumers now expect:
Instant transactions
Real-time financial tracking
Seamless, secure digital experiences
FaaS enables businesses to meet these expectations by integrating modern fintech solutions into customer-facing applications.
4. Regulatory Simplification via Compliance-as-a-Service
Navigating financial regulations is traditionally resource-intensive and complex. FaaS platforms often bundle compliance and risk management tools, making it easier for startups and corporations alike to adhere to evolving regulatory frameworks.
Examples include automatic KYC (Know Your Customer) processes, anti-money laundering (AML) tools, and GDPR-compliant data processing.
5. Financial Inclusion
FaaS platforms allow businesses to reach underserved populations by offering microloans, low-fee transfers, or credit access to people without a traditional banking history. This democratization is a strong growth lever, especially in developing economies.
Market Challenges
1. Cybersecurity Risks
As FaaS platforms handle sensitive financial and personal data, they are prime targets for cybercriminals. Providers must continually invest in:
Encryption
Threat detection systems
Secure APIs
to maintain customer trust and ensure platform resilience.
2. Regulatory Complexity
FaaS providers must remain agile in the face of constantly evolving global financial regulations. Cross-border transactions, in particular, raise challenges in anti-fraud measures, tax compliance, and data sovereignty.
3. Vendor Lock-in
Relying on a third-party FaaS provider may limit customization options and control over core services. This is a significant consideration for businesses that prioritize flexibility in their tech stack.
Market Segmentation
By Service Type:
Payments-as-a-Service (PaaS)
Lending-as-a-Service (LaaS)
Banking-as-a-Service (BaaS)
KYC & Identity Verification-as-a-Service
Compliance-as-a-Service
Wealth Management-as-a-Service
By Deployment Model:
Cloud-Based
On-Premise
Hybrid
Cloud-based solutions dominate due to their flexibility, scalability, and lower upfront costs.
By Application:
Banking
Insurance
Investment & Wealth Management
Retail & E-commerce
Healthcare Payments
Supply Chain & Logistics
By End User:
FinTech Startups
Traditional Banks
Non-Banking Financial Institutions
E-commerce Companies
Technology Firms
Regional Insights
North America
North America leads the FaaS market, thanks to a mature financial ecosystem, early fintech adoption, and a robust regulatory framework. The U.S. in particular is home to some of the world’s largest FaaS platforms and fintech unicorns.
Europe
The European market is buoyed by supportive regulations like PSD2 (Payment Services Directive 2), which encourages open banking and data sharing, allowing third-party providers to create innovative financial products.
Asia-Pacific
The Asia-Pacific region is one of the fastest-growing fintech hubs globally, with markets like China, India, Singapore, and Australia showing enormous demand for mobile banking, digital wallets, and micro-lending solutions.
Emerging Trends
1. Rise of Crypto & Blockchain-based FaaS
Cryptocurrencies are rapidly becoming integrated into mainstream finance, and FaaS platforms are evolving to offer crypto wallets, exchanges, and decentralized finance (DeFi) tools as a service.
2. Artificial Intelligence in Fintech
AI is playing a critical role in risk assessment, fraud detection, customer support (via chatbots), and credit scoring — all seamlessly offered as part of the FaaS suite.
3. Open Banking Integration
Open banking frameworks, which require banks to provide third-party access to consumer banking, transaction, and other financial data, are fueling a new wave of innovation in the FaaS market.
4. Microservices Architecture
FaaS platforms are increasingly leveraging microservices-based architectures, allowing businesses to select specific services (like payments or credit assessment) without buying into an entire ecosystem.
Competitive Landscape
The FaaS market is highly competitive, with a mix of fintech pioneers, traditional financial institutions, and tech giants vying for dominance.
Leading Players Include:
PayPal
Stripe
Marqeta
Plaid
Solarisbank
Rapyd
Mambu
Synapse
Galileo Financial Technologies
Adyen
These firms focus on strategic partnerships, mergers and acquisitions, and continuous product innovation to maintain their competitive edge.
Future Outlook
The next phase of the Fintech as a Service market will likely be characterized by:
Further convergence between traditional finance and tech.
Expansion of AI-driven services like predictive analytics and personalized financial planning.
Increased focus on sustainability and green finance features.
Global standardization of cross-border compliance tools.
By 2032, FaaS will be at the core of the global digital economy, facilitating instant, secure, and personalized financial services across industries — regardless of whether the provider is a bank, e-commerce platform, or healthcare service.
Conclusion
The Fintech as a Service market is unlocking new possibilities for businesses by offering seamless access to cutting-edge financial infrastructure. As both consumer and business expectations continue to shift toward real-time, personalized financial solutions, FaaS is likely to become the invisible engine powering the digital economy.
With strong growth forecasts, an ever-expanding range of applications, and continuing technological evolution, FaaS stands poised to redefine the future of global finance by 2032.
Read Full Report:-https://www.uniprismmarketresearch.com/verticals/information-communication-technology/fintech-as-a-service
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differenttimemachinecrusade · 2 months ago
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Tokenization Market Overview: Key Innovations and Future Trends 2032
Tokenization Market size was valued at USD 2.9 billion in 2023 and is expected to grow to USD 16.6 billion by 2032 and grow at a CAGR of 21.5 % over the forecast period of 2024-2032
The Tokenization Market is experiencing rapid growth, driven by increasing cybersecurity threats, regulatory compliance, and the rise of digital transactions. Businesses across industries are adopting tokenization to enhance data security, reduce fraud, and streamline operations. The demand for secure payment processing and data protection is fueling innovation and investment in this space.
The Tokenization Market continues to expand as organizations recognize the need for advanced security measures in financial transactions, cloud computing, and blockchain-based applications. With growing concerns over data breaches and stringent compliance requirements such as PCI DSS and GDPR, tokenization is becoming a preferred solution for securing sensitive information. This shift is expected to propel the market to new heights in the coming years.
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Market Keyplayers:
Gemalto (Thales Group) – (SafeNet Tokenization, Vormetric Data Security Platform)
TokenEx – (Cloud Tokenization, PCI Compliance Solutions)
Hewlett Packard Enterprise (HPE) – (SecureData Enterprise, Atalla HSM)
F5 Networks – (BIG-IP Advanced Firewall Manager, BIG-IP Application Security Manager)
CipherCloud – (Cloud Security Gateway, Tokenization-as-a-Service)
Symantec Corporation – (Data Loss Prevention, Symantec Encryption)
Protegrity USA, Inc. – (Protegrity Cloud, Protegrity Vaultless Tokenization)
Broadcom Inc. (CA Technologies) – (Layer7 API Gateway, Payment Security Suite)
Micro Focus – (Voltage SecureData, Security ArcSight)
Wipro Limited – (Data Discovery and Protection, Cloud Tokenization Service)
Market Trends Driving Growth
1. Rising Cybersecurity Threats and Data Protection Needs
As cyberattacks become more sophisticated, businesses are prioritizing tokenization to safeguard customer data. Tokenization replaces sensitive information with unique, non-exploitable tokens, making it a critical tool in preventing fraud and data breaches.
2. Growing Adoption in Digital Payments and E-Commerce
With the surge in online transactions, tokenization is playing a vital role in securing payment gateways, digital wallets, and contactless payments. Leading fintech companies and payment processors are integrating tokenization to provide seamless and secure transaction experiences.
3. Expansion of Blockchain and Decentralized Finance (DeFi)
Tokenization is a fundamental component of blockchain technology, enabling secure asset digitization and ownership transfer. In the DeFi ecosystem, tokenized assets, including real estate, stocks, and commodities, are driving liquidity and investment opportunities.
4. Regulatory Compliance and Industry Standards
Governments and regulatory bodies worldwide are enforcing strict data security standards, pushing businesses to implement tokenization for compliance. Regulations such as GDPR (Europe), CCPA (California), and PCI DSS (global payments) are accelerating tokenization adoption across industries.
5. Increasing Use in Healthcare and Other Sectors
Beyond finance and e-commerce, tokenization is gaining traction in healthcare, insurance, and supply chain management. Securing medical records, protecting patient data, and ensuring privacy in digital healthcare platforms are key drivers of adoption.
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Market Segmentation:
By Component
Solution
Services
By Application Area
Payment Security
User Authentication
Compliance Management
Others
By Technology
Application Programming Interface-based
Gateway-based
By Deployment
Cloud
On-premises
By Industry Vertical
BFSI
Healthcare
IT
Government
Retail And E-Commerce
Energy & Utilities
Market Analysis and Current Landscape
Major factors driving market growth include:
Increasing digital payment adoption: Consumers and businesses prefer secure, tokenized transactions over traditional payment methods.
Advancements in cloud computing: Cloud-based tokenization solutions are improving scalability and cost efficiency for enterprises.
Rising concerns over data breaches: Organizations are shifting from traditional encryption to tokenization for enhanced security.
Competitive innovations: Market leaders are introducing AI-powered tokenization tools and advanced authentication techniques.
Despite the growth potential, challenges such as integration complexities, high implementation costs, and interoperability issues remain. However, continuous innovation and collaboration between financial institutions and technology providers are addressing these challenges.
Regional Analysis: Key Market Insights
1. North America
North America dominates the Tokenization Market due to high digital transaction volumes, regulatory enforcement, and strong cybersecurity infrastructure. The U.S. and Canada are key markets, with major financial institutions and tech firms driving innovation.
2. Europe
Europe is witnessing significant growth, driven by GDPR compliance, increasing adoption of digital banking, and expanding e-commerce activities. Countries like Germany, the UK, and France are at the forefront of tokenization advancements.
3. Asia-Pacific
Asia-Pacific is emerging as the fastest-growing region, with digital payment adoption surging in countries like China, India, and Japan. Government initiatives to promote digital finance and secure transactions are fueling market expansion.
4. Latin America and the Middle East & Africa
Latin America is experiencing steady growth, with fintech startups and banking institutions adopting tokenization for fraud prevention. The Middle East & Africa region is also showing potential, with increasing investments in blockchain technology and financial security solutions.
Future Prospects: What Lies Ahead?
1. Integration with Artificial Intelligence and Machine Learning
AI-driven tokenization solutions will enhance fraud detection, improve risk assessment, and optimize security protocols for businesses.
2. Growth of Tokenized Assets and NFTs
Tokenization will continue to revolutionize asset ownership, enabling fractional ownership of real estate, art, and intellectual property through NFTs and blockchain-based assets.
3. Expansion in IoT and Smart Devices
With the rise of IoT-connected devices, tokenization will play a key role in securing digital identities, transactions, and communications in smart ecosystems.
4. Advancements in Zero Trust Security Models
Zero Trust frameworks, which emphasize strict access controls and continuous verification, will integrate tokenization to enhance cybersecurity measures.
5. Wider Adoption Across SMEs and Enterprises
As tokenization solutions become more affordable and scalable, small and medium-sized enterprises (SMEs) will increasingly adopt them to protect customer data and comply with security regulations.
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Conclusion
The Tokenization Market is on an upward trajectory, driven by the growing need for data security, regulatory compliance, and digital transformation. Businesses across industries are recognizing the benefits of tokenization in reducing fraud risks and enhancing transaction security. As innovations in AI, blockchain, and cybersecurity continue to evolve, tokenization will play an even greater role in shaping the future of secure digital transactions.
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global-research-report · 5 months ago
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Trends in the Integration Platform as a Service (iPaaS) Market 2024 - 2030
The global integration platform as a service market size is expected to reach USD 71.35 billion by 2030, registering a CAGR of 32.3% from 2024 to 2030, according to a new report by Grand View Research, Inc. Rising need of advanced systems to improve the process of deploying, developing, and managing enterprise applications globally has been a major factor driving market growth. In addition, recent developments in big data, cloud computing, and Internet of Things (IoT) within organizations’ processes also paved the way for greater development of IPaaS solutions.
Integration Platform as a Service is an emerging technology where in the applications, process, data, and application programs are integrated. The integration enables enterprises to reduce the complexity of its operations and better connect to cloud services. The integrations also save the time by providing a common platform for various applications.
The technologies relevant and compatible with Integration flow development, API life cycle management have prevailed with prominence along with the integration of B2B and IoT services with cloud-based platforms. The IPaaS integrates all such industry services and its applications within a common platform. The services such as Internet of things (IoT) and Application Process Integration (API) with continuous increase in the number of users and vendors have resulted in accelerated growth of IPaaS market.
IPaaS hybrid segment was the largest deployment category in 2016 and is expected to maintain a comparatively low growth rate over the forecast period. It accounted for a share of 43% in 2016. Hybrid deployment module was the largest service category in 2016 and is expected to maintain a comparatively high growth rate over the forecast period.
Integration Platform As A Service Market Report Highlights
The cloud service orchestration segment held the largest market revenue share of 26.8% in 2023. As companies scale their operations, they require more agile and scalable solutions to manage complex integrations across diverse applications and data sources.
Application Programming Interfaces (API) Management has poised to grow with lucrative CAGR of 34.3% in projected years. APIs are crucial connectors that enable seamless communication and integration between various applications, systems, and services.
The public cloud segment held the largest market share in 2023. Public cloud offerings provide scalability and flexibility, allowing businesses to easily scale their integration needs according to demand without heavy upfront investments in infrastructure.
Large enterprises segment held the largest market share in 2023. Large enterprises typically have complex IT environments with diverse applications, systems, and data sources across various departments and locations.
BFSI dominated the market in 2023. The BFSI industry operates in a highly regulated environment with many data privacy and security standards.
The North America region dominated the integration platform as a service market with a revenue share of 37.2% in 2023. North American enterprises increasingly adopt cloud-based solutions to streamline operations and enhance scalability.
Asia Pacific market is expected to experience the fastest CAGR over the forecast period. Asia-Pacific countries are experiencing rapid digital transformation across various retail, manufacturing, healthcare, and finance sectors.
Integration Platform As A Service Market Segmentation
Grand View Research has segmented the global integration platform as a service market on the basis of on service, deployment, enterprise size, end-use, and region:
Integration Platform As A Service Service Outlook (Revenue, USD Million, 2018 - 2030)
Cloud Service Orchestration
Data Transformation
API Management
Data Integration
Real-time Monitoring and Integration
Others
Integration Platform As A Service Deployment Outlook (Revenue, USD Million, 2018 - 2030)
Public Cloud
Private Cloud
Hybrid Cloud
Integration Platform As A Service Enterprise Size Outlook (Revenue, USD Million, 2018 - 2030)
Small & Medium Enterprises
Large Enterprises
Integration Platform As A Service End-use Outlook (Revenue, USD Million, 2018 - 2030)
BFSI
Energy and Utilities
IT and Telecom
Government and Public Sector
Healthcare
Manufacturing
Retail
Others
Integration Platform As A Service Regional Outlook (Revenue, USD Million, 2018 - 2030)
North America
US
Canada
Mexico
Europe
UK
Germany
France
Asia Pacific
Japan
China
Australia
South Korea
Latin America
Brazil
Argentina
Middle East and Africa (MEA)
South Africa
Saudi Arabia
UAE
Order a free sample PDF of the Integration Platform as a Service Market Intelligence Study, published by Grand View Research.
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0healthcare1 · 6 months ago
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qksgrouptech · 6 months ago
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Market Forecast: API Management, 2024-2028, China
The Application Programming Interface management market forecast in China is poised for substantial growth between 2024 and 2028. As digital transformation sweeps across various industries, enterprises are increasingly leveraging APIs to streamline operations, connect applications, and improve the flow of data. The proliferation of APIs is driving demand for API management solutions that ensure performance, security, and governance at scale.
Key Drivers of Growth
Expanding Digital Ecosystems The rapid expansion of digital ecosystems in China is a major growth driver for the API management market. Organizations in sectors like finance, e-commerce, healthcare, and logistics are adopting APIs to integrate diverse software applications and digital services. For instance, in finance, APIs are pivotal in enabling seamless banking experiences and interconnecting fintech services. In e-commerce, they help drive omnichannel strategies, ensuring real-time synchronization of data across platforms. The increased need for APIs to support these interconnected ecosystems underscores the demand for API management solutions.
Government Initiatives and Regulations The Chinese government has introduced policies that support digital transformation, data integration, and cybersecurity. API management platforms align well with regulatory requirements for data security and compliance, ensuring that sensitive data is securely exchanged between systems. China's Data Security Law (DSL) and Personal Information Protection Law (PIPL), for instance, mandate strict data protection protocols, making API management essential for compliance. As regulations become more stringent, companies are likely to adopt API management solutions that ensure secure data handling in accordance with these laws.
Increasing Cloud Adoption China's cloud adoption is accelerating as enterprises prioritize scalability, flexibility, and cost-efficiency. As companies migrate applications to the cloud, the demand for API management tools to facilitate seamless integration between on-premises and cloud environments is rising. API management enables companies to connect various applications on hybrid cloud infrastructure, ensuring efficient data flows and application interoperability. This trend is expected to drive demand in the API management market as cloud infrastructure expands.
Challenges and Constraints
While the API management market in China has tremendous growth potential, it also faces certain challenges. The first is the complexity of API security, which can be a vulnerability if not properly managed. As APIs proliferate, security becomes a concern, especially with the rise in cyberattacks targeting exposed APIs. Organizations must implement strong security protocols to protect API endpoints, which increases the operational complexity of API management.
Additionally, the market may encounter resistance due to legacy systems that are difficult to integrate with modern API solutions. Many companies still operate on legacy software that is not easily compatible with APIs, requiring investment in modernization efforts to maximize the benefits of API management.
Market Forecast
From 2024 to 2028, the API management market in China is expected to see a compound annual growth rate (CAGR) in the double digits. With an increasing number of enterprises adopting API management solutions, market players are likely to invest in product development to meet the specific needs of Chinese enterprises, such as localization, integration with local cloud providers, and compliance with national regulations.
Local vendors and global companies alike will play a critical role in shaping this market. Domestic players may have an advantage in navigating regulatory challenges and localizing solutions, while international vendors may introduce advanced capabilities such as artificial intelligence and machine learning (AI/ML) for API analytics, security, and monitoring.
Future Outlook
The forecasted growth of API management in China highlights the country's commitment to digital transformation and cloud adoption. Organizations in China are expected to increasingly prioritize API management as they aim to unlock the full potential of digital ecosystems, improve application interoperability, and safeguard data privacy. This trend indicates that API management will be a cornerstone of the digital economy, helping companies innovate while maintaining control over the data they manage and share.
In conclusion, QKS Group API management in China is set for robust growth over the next five years, driven by an expanding digital ecosystem, regulatory compliance requirements, and the growing need for cloud connectivity. This market evolution is likely to lead to more advanced, secure, and compliant API management solutions that will empower Chinese businesses to thrive in an interconnected digital world.
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researchanalysts · 11 months ago
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Unlocking the Future of Healthcare: Healthcare API Market Key Trends, Opportunities and Understanding the Driving Forces
The Healthcare API Market is Valued at USD 223.3 Million in 2022 and is projected to reach USD 237.7 Million by 2030, growing at a CAGR of 6.8% During the Forecast period of 2024–2032.
Introduction to Healthcare API: The Healthcare API (Application Programming Interface) market is revolutionizing the way healthcare providers, patients, and technology systems interact and communicate. APIs serve as vital bridges that enable different software applications to exchange data seamlessly, fostering improved patient care, streamlined operations, and enhanced data management. With the healthcare industry’s growing emphasis on interoperability and digital transformation, the demand for robust and secure healthcare APIs is surging. This report delves into the current state of the Healthcare API market, exploring its growth drivers, challenges, and prospects.
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Major Players Healthcare API Market include: ↬ Practo Technologies Pvt. Ltd., ↬ Apple, Inc.,  ↬ General Electric Company,  ↬ Athenahealth,  ↬ Cerner Corporation,  ↬ Microsoft Corporation,  ↬ Epic Systems Corporation,  ↬ eClinical Works LLC,  ↬ Allscripts Healthcare Solutions Inc.,  ↬ Greenway Health, LLC,  ↬ Practice Fusion, Inc.,  ↬ MuleSoft, Inc.,  ↬ Corepoint Health,  ↬ Redox,  ↬ Xealth  ↬ and Others.
Why Should Access to This Report? Accessing this report provides invaluable insights for stakeholders across the healthcare ecosystem. Whether you are a healthcare provider looking to enhance patient care, a technology developer aiming to innovate, or an investor seeking lucrative opportunities, this report equips you with the knowledge to make informed decisions. Gain a competitive edge with comprehensive data, expert analysis, and strategic recommendations tailored to the evolving landscape of healthcare APIs.
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Research Methodology: Our research methodology combines qualitative and quantitative approaches to offer a holistic view of the Healthcare API market. We utilize primary research, including interviews with industry experts, surveys, and feedback from key stakeholders. Secondary research encompasses an in-depth review of industry reports, white papers, and academic publications. Our data analysis leverages advanced statistical tools to ensure accuracy and reliability, providing you with a robust foundation for strategic planning and decision-making.
The Report Offers:
➧ Market Overview: An in-depth analysis of the current market landscape, including market size, growth trends, and key drivers. ➧ Competitive Analysis: Detailed profiles of leading market players, their strategies, and market positioning. ➧ Technological Trends: Insights into the latest technological advancements and their impact on the healthcare API market. ➧ Regulatory Environment: An overview of regulatory frameworks and compliance requirements influencing market dynamics. ➧ Market Segmentation: Comprehensive segmentation analysis by API type, deployment model, end-user, and geography. ➧ Future Outlook: Projections and forecast analysis for the market’s growth over the next five years.
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Major Classifications are as follows:
By Service
Electronic Health Record (EHR) access
Appointment Scheduling
Telehealth & Remote patient monitoring
Financial Integration
Claims Financial Transactions
Payment Processing
Collections
Others
Wearable medical device
Patient Engagement
Clinical Integration
Laboratory Documentation
Diagnostic Imaging/PACS
Departmental Reports
E-Prescription
Others
Device Integration
Medical & Ambulatory Surgical Center (ASC) Devices
Non-Medical Devices
Others
By Deployment Model
On-Premise
Cloud-based
By End-user
Healthcare payers
Healthcare Providers
Healthcare Integrators & App Developers
Patients
Others
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Mostly Asked Questions:
➲ What are the primary drivers of growth in the Healthcare API market? ➲ How are healthcare APIs improving patient care and operational efficiency? ➲ What are the main challenges faced by the Healthcare API market? ➲ Which regions are expected to witness the highest growth in the Healthcare API market? ➲ How are regulatory changes impacting the adoption of healthcare APIs? ➲ Who are the leading players in the Healthcare API market, and what are their key strategies?
Conclusion: The Healthcare API market is at the forefront of healthcare’s digital transformation, enabling enhanced interoperability, efficiency, and patient outcomes. As the demand for seamless data exchange and integrated healthcare solutions continues to rise, the market is poised for significant growth. This report provides the essential insights and strategic recommendations needed to navigate the complexities of the Healthcare API market and capitalize on emerging opportunities. Stay ahead of the curve with our comprehensive analysis and expert guidance.
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healthcarehubhh · 11 months ago
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The Rising Adoption of Cloud-Based EHR Systems Will Drive Growth in the Electronic Health Records Market
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The global electronic health records (EHR) market size was valued at US$ 24.96 billion in 2023 and is estimated to reach US$ 29.06 billion in 2024. The market is expected to exhibit a CAGR of 2.8% over the forecast period of 2023 to 2030. Electronic health records (EHR) are digital versions of paper-based health and medical records for patients. EHRs contain patient health histories, diagnoses, medications, treatment plans, immunization dates, lab test results, and other clinical information. EHRs aim to improve the quality and safety of healthcare delivery by allowing patients' health information to be securely stored and easily accessed by authorized healthcare providers and medical staff in real-time. The rise of chronic diseases and need for streamlined healthcare services is driving demand for EHR solutions that can support clinical workflows and decision making. The global EHR market is estimated to be valued at US$ 29.06 billion in 2024 and is expected to exhibit a CAGR of 2.8% over the forecast period 2023 to 2030. Key Takeaways Key players operating in the electronic health records market are eClinicalWorks, Cerner Corporation, GE Healthcare, Allscripts Healthcare, LLC, and Epic Systems Corporation. These players are focusing on developing advanced cloud-based EHR solutions and services to gain a competitive edge in the market. The growing prevalence of chronic diseases and need for remote patient monitoring is fueling demand for cloud-based EHR solutions. Cloud deployment enables seamless sharing and exchange of patient health data between healthcare providers in real-time. Technological advancements like integration of AI and machine learning into EHR software are helping improve clinical decision making and streamline various workflows. Vendors are offering predictive analytics capabilities within EHR platforms to aid diagnostics and treatment decisions. Market Trends - Growing adoption of telehealth and virtual care services amid COVID-19 pandemic is driving use of cloud-based EHR platforms for remote patient consultations and sharing of electronic medical records. - Vendors are focusing on leveraging blockchain technology to securely store medical records on distributed ledgers and enable patients to own and control access to their health data. Market Opportunities - Growing healthcare IT spending in emerging markets of Asia Pacific and Latin America offers significant growth opportunities for EHR vendors over the forecast period. - Integrating EHR systems with medical devices, wearables and other digital health technologies through open application programming interfaces (APIs) can enable new remote care delivery models and expansion of patient monitoring outside hospitals. Impact of COVID-19 on Electronic Health Records Market growth The COVID-19 pandemic had a drastic impact on the electronic health records market. At the start of the pandemic in early 2020, healthcare systems saw a steep rise in patient volumes which put immense pressure on their existing paper-based record systems. This highlighted the need for digital tools that could enhance healthcare delivery. EHR systems helped providers effectively manage patient volumes remotely through telehealth solutions. They enabled doctors to review patient records and prescriptions digitally without direct contact. This facilitated continuity of care while minimizing infection risk. Post-COVID, demand is expected to remain high as providers recognize the importance of technology for preparedness against future crises. Adoption of value-based payment models and interoperability standards are also driving increased EHR usage. However, budget constraints amid the economic downturn may impact market growth in the short-term. Overall, COVID-19 has accelerated digital transformation in healthcare, validating the role of EHR systems.
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lalsingh228-blog · 1 year ago
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API Testing Market Projected to Show Strong Growth
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Global API Testing Market Report from AMA Research highlights deep analysis on market characteristics, sizing, estimates and growth by segmentation, regional breakdowns & country along with competitive landscape, player’s market shares, and strategies that are key in the market. The exploration provides a 360° view and insights, highlighting major outcomes of the industry. These insights help the business decision-makers to formulate better business plans and make informed decisions to improved profitability. In addition, the study helps venture or private players in understanding the companies in more detail to make better informed decisions. Major Players in This Report Include, Astegic (United States), Axway (United States), Bleum (China), CA Technologies (United States), Cigniti Technologies (India), Cygnet Infotech (India), IBM (United States), Inflectra Corporation (United States), Infosys (India), Load Impact (Sweden). Free Sample Report + All Related Graphs & Charts @: https://www.advancemarketanalytics.com/sample-report/114161-global-api-testing-market API testing is a type of software testing that involves testing of a set of application programming interfaces (APIs) directly and as part of integration testing to determine if they meet expectations for functionality, performance, reliability, and security. It is a formal specification that acts as a guaranteed contract between two separate pieces of software. The automation for API testing requires less code so it can provide faster and better test coverage. It helps the companies to reduce the risks. Market Drivers
Rise In the Cloud Applications and Interconnect Platforms
Increasing Adoption of API Testing
Market Trend
Data Regulations and Policies
Opportunities
Increasing Requirements of Modern Testing Methods
Advancements in the Testing Technologies
Challenges
Lack of Awareness among the People
Enquire for customization in Report @: https://www.advancemarketanalytics.com/enquiry-before-buy/114161-global-api-testing-market In this research study, the prime factors that are impelling the growth of the Global API Testing market report have been studied thoroughly in a bid to estimate the overall value and the size of this market by the end of the forecast period. The impact of the driving forces, limitations, challenges, and opportunities has been examined extensively. The key trends that manage the interest of the customers have also been interpreted accurately for the benefit of the readers. The API Testing market study is being classified by Type (Automated Testing {Functionality Testing, Reliability Testing, Load Testing, Security Testing, Creativity Testing, Proficiency Testing and Others}, Manual Testing {Exploratory Testing, Usability Testing and Ad-hoc Testing}), Application (IT and Telecommunication, Banking, Financial Services, and Insurance, Retail and Ecommerce, Media and Entertainment, Healthcare, Manufacturing, Government, Others), Deployment (Cloud-Based, On-Premises) The report concludes with in-depth details on the business operations and financial structure of leading vendors in the Global API Testing market report, Overview of Key trends in the past and present are in reports that are reported to be beneficial for companies looking for venture businesses in this market. Information about the various marketing channels and well-known distributors in this market was also provided here. This study serves as a rich guide for established players and new players in this market. Get Reasonable Discount on This Premium Report @ https://www.advancemarketanalytics.com/request-discount/114161-global-api-testing-market Extracts from Table of Contents API Testing Market Research Report Chapter 1 API Testing Market Overview Chapter 2 Global Economic Impact on Industry Chapter 3 Global Market Competition by Manufacturers Chapter 4 Global Revenue (Value, Volume*) by Region Chapter 5 Global Supplies (Production), Consumption, Export, Import by Regions Chapter 6 Global Revenue (Value, Volume*), Price* Trend by Type Chapter 7 Global Market Analysis by Application ………………….continued This report also analyzes the regulatory framework of the Global Markets API Testing Market Report to inform stakeholders about the various norms, regulations, this can have an impact. It also collects in-depth information from the detailed primary and secondary research techniques analyzed using the most efficient analysis tools. Based on the statistics gained from this systematic study, market research provides estimates for market participants and readers. Contact US : Craig Francis (PR & Marketing Manager) AMA Research & Media LLP Unit No. 429, Parsonage Road Edison, NJ New Jersey USA – 08837 Phone: +1 201 565 3262, +44 161 818 8166 [email protected]
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iwebscrapingblogs · 1 year ago
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Fueling Innovation with Amazon API's Data Sets: Discover Types and Applications
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In today's data-driven world, innovation thrives on access to vast amounts of information. With the advent of Application Programming Interfaces (APIs), accessing and utilizing data has become more convenient and powerful than ever. Among the multitude of API providers, Amazon stands out with its comprehensive collection of data sets, fueling innovation across various industries. In this article, we'll delve into the types and applications of Amazon APIs' data sets and explore how they are driving innovation.
Types of Amazon API Data Sets
Amazon offers a diverse range of data sets through its APIs, catering to different interests and requirements. Here are some key types:
E-Commerce Data Sets: Amazon's roots lie in e-commerce, and consequently, it provides rich data sets related to product listings, customer reviews, sales trends, and more. These data sets are invaluable for businesses looking to understand market dynamics, consumer preferences, and competitor analysis.
Cloud Services Data Sets: With its AWS (Amazon Web Services) platform, Amazon offers data sets related to cloud computing, including usage statistics, performance metrics, and cost optimization insights. These data sets empower businesses to optimize their cloud infrastructure, enhance scalability, and improve cost-efficiency.
IoT (Internet of Things) Data Sets: Amazon's IoT services like AWS IoT Core generate vast amounts of data from connected devices. These data sets include sensor readings, device statuses, and telemetry data, enabling businesses to harness the power of IoT for various applications such as predictive maintenance, smart home automation, and industrial monitoring.
Media and Entertainment Data Sets: Amazon Prime Video and Amazon Music provide data sets related to user preferences, viewing/listening habits, content metadata, and engagement metrics. These data sets enable content creators and distributors to personalize recommendations, optimize content delivery, and enhance user experiences.
Healthcare Data Sets: Amazon HealthLake, a HIPAA-eligible service, offers curated data sets compliant with healthcare regulations. These data sets include electronic health records (EHRs), medical imaging data, genomic data, and clinical trial data. They facilitate medical research, personalized healthcare, and healthcare analytics while ensuring data security and privacy.
Applications of Amazon API Data Sets
The versatility of Amazon API data sets fuels innovation across numerous industries and domains. Here are some notable applications:
Retail Analytics: Retailers leverage Amazon's e-commerce data sets to analyze market trends, forecast demand, optimize pricing strategies, and enhance customer experiences. By understanding consumer behavior and preferences, retailers can tailor their offerings and marketing campaigns for maximum impact.
Smart Cities: Municipalities utilize Amazon's IoT data sets to implement smart city initiatives, such as traffic management, waste management, environmental monitoring, and public safety. By integrating IoT data with analytics platforms, cities can make data-driven decisions to improve urban living conditions and resource efficiency.
Content Personalization: Media companies harness Amazon's media and entertainment data sets to personalize content recommendations, curate playlists, and tailor advertisements based on user preferences and behavior. This enhances user engagement, retention, and monetization in an increasingly competitive digital media landscape.
Precision Medicine: Healthcare providers and researchers leverage Amazon's healthcare data sets to develop personalized treatment plans, conduct genomic analysis, identify disease risk factors, and accelerate drug discovery. By aggregating and analyzing diverse healthcare data sources, they can advance precision medicine initiatives and improve patient outcomes.
Financial Services: Banks, insurers, and fintech companies leverage Amazon's cloud services data sets to enhance risk management, fraud detection, customer segmentation, and algorithmic trading strategies. By leveraging real-time data and advanced analytics, financial institutions can drive operational efficiency and mitigate financial risks.
Conclusion
Amazon API data sets serve as a catalyst for innovation across various industries, providing valuable insights and enabling transformative applications. Whether it's optimizing retail operations, building smart cities, personalizing content experiences, advancing healthcare, or enhancing financial services, the breadth and depth of Amazon's data sets empower organizations to unlock new possibilities and create tangible value. As businesses continue to embrace digital transformation, leveraging Amazon API data sets will remain integral to staying competitive and driving innovation in the data-driven economy.
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oliviadlima · 1 year ago
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Web Real-Time Communication Market Overview Research 2020 | Share, Growth Analysis and Forecast to 2027
According to a recent report published by Allied Market Research, titled, “Web Real-Time Communication Market by Component, WebRTC Enabled Devices, and Industry Vertical: Opportunity Analysis and Industry Forecast, 2020–2027,” the global market was valued at $2.73 billion in 2019, and is projected to reach $45.91 billion by 2027, growing at a CAGR of 41.7% from 2020 to 2027.
Web real-time communication or WebRTC is an open source collection of application programming interface (API) and communication protocols that enable real-time communication for web browsers and mobile applications. It allows video or audio communication inside web pages by enabling real-time peer-to-peer connection without the need to install additional plugins or native apps. This technology facilitates easy and cost-effective communication in terms of voice, video, and other data. The technology enables video chat, video conferencing, audio call, audio conferencing, text chats, file sharing, gaming, and social networking, typically with internet browsers as endpoints. WebRTC offers real-time communication at low costs with high performance and encryption support.
As WebRTC is adaptable to different system conditions and it is also interoperable with Unified Communications (UC) or Voice over Internet Protocol (VoIP), it facilitates organizations in seamless coordination & communication through their current framework, which is expected to boost the web real-time communication market growth. In addition, rise in adoption of BYOD trend, webification of communications systems, and growth in adoption of WebRTC solution to offer better customer assistance & enhance customer experience are major factors that drive the growth of the market. Moreover, integration of AI and increase in use cases of WebRTC in IoT are anticipated to create lucrative opportunities for the WebRTCmarket expansion.
The solution segment held the majority of the global web real-time communication market share in 2019, and is projected to maintain its dominance during the forecast period. The services segment is expected to witness highest growth rate of 43.8% from 2020 to 2027. This is attributed to need of enterprises to find suitable WebRTC solution and help integrate it with other enterprise applications. Increase in adoption of WebRTC solutions is also expected to boost the demand for these services.
The mobiles segment accounted for the major share among WebRTC enabled devices, owing to rapidly increasing number of smartphone users, growing popularity of communication apps among millennials, and low cost of smart phone devices.
As per region, the global web real-time communication market was dominated by North America in 2019 and is expected to maintain this trend during the forecast period. Factors such as presence of leading companies using WebRTC in their offerings such as Facebook, Twitter, Snapchat, Google (Duo, Hangout), & others in North America and telecom companies forming alliances with WebRTC developers to recapture the audience are the major drivers for the market growth in this region. In addition, significant adoption of mobility and launch of innovative product offerings are expected to drive the WebRTC market growth during the forecast period. For instance, in April 2017, Grandstream Networks, Inc. launched an innovative web conferencing platform-IPVideoTalk Web Meeting Service that leverages the WebRTC technology to offer high-quality web meeting with HD video & audio through any Mac, iOS, or Android devices.
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Key Findings Of The Study
By component, the solution segment led the web real-time communication market size in terms of revenue in 2019.
By WebRTC enabled devices, the mobiles segment accounted for the highest market share in 2019.
By industry vertical, the healthcare segment is anticipated to exhibit highest growth during the forecast period.
Region wise, North America accounted for the highest revenue in 2019; however, Asia-Pacific region is anticipated to exhibit highest growth during the web real-time communication market forecast period.
The global web real-time communicationmarket analysis includes some of the key market players such as Avaya Inc., Cisco Systems, Inc., Dialogic Corporation, Plantronics, Inc., Oracle Corporation, Plivo, Quobis, Ribbon Communications Operating Company, Inc., Tokbox Inc. (Vonage), and Twilio Inc.
About Us: Allied Market Research (AMR) is a full-service market research and business-consulting wing of Allied Analytics LLP based in Portland, Oregon. Allied Market Research provides global enterprises as well as medium and small businesses with unmatched quality of “Market Research Reports Insights” and “Business Intelligence Solutions.” AMR has a targeted view to provide business insights and consulting to assist its clients to make strategic business decisions and achieve sustainable growth in their respective market domain.
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reportprimerahul · 2 years ago
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API Management Market Size, Type, segmentation, growth and forecast 2023-2030
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API Management Market
The API Management Market is expected to grow from USD 4.60 Billion in 2022 to USD 13.87 Billion by 2030, at a CAGR of 25.20% during the forecast period.
API Management Market Size
API Management is the process of designing, publishing, documenting, monitoring, and securing Application Programming Interfaces (APIs) in a systematic and efficient manner. As per the API Management market research report, the market is segmented based on type (On-Premise, Cloud-Based), application (BFSI, IT and Telecom, Government and Defense, Healthcare, Retail, Media and Entertainment, Manufacturing, Others), region (North America, Asia Pacific, Middle East, Africa, Australia and Europe), and market players (Axway, Microsoft, Rogue Wave Software, SAP, Oracle, Red Hat, Broadcom, Fiorano Software, International Business Machines, Nexright, SnapLogic, TYK Technologies, Mashape, Mulesoft, Sensedia, Tibco Software, WSO2, Amazon Web Services). The main regulatory and legal factors specific to the market conditions include data protection laws and regulations, intellectual property rights, and cybersecurity laws. Organizations must ensure compliance with these regulations while developing and implementing API management strategies. The API Management market is expected to grow significantly in the coming years due to increased demand for efficient and secure API management solutions by various industries.
API Management Market Key Player
Axway
Microsoft
Rogue Wave Software
SAP
Oracle
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API Management Market Segment Analysis
The API Management market is a rapidly growing market that is expected to experience a high rate of growth in the coming years. The target market for API Management solutions includes a wide range of industries such as banking and financial services, healthcare, retail, telecommunications, and government, among others. The increasing adoption of cloud technology and the need to provide seamless integration between various applications have been the major factors driving revenue growth of the API Management market.
The latest trend in the API Management market is the increasing adoption of microservices architecture, which has resulted in an increased demand for API Management solutions. The COVID-19 pandemic has further accelerated the adoption of API Management solutions as organizations have shifted to digital business models, resulting in an increased need for seamless integration of applications.
One of the major challenges faced by the API Management market is the intense competition among the vendors. The market is highly fragmented, and vendors are continuously innovating their products and services to stay ahead of the competition. The lack of skilled professionals is another challenge faced by the API Management market, as there is a high demand for professionals with expertise in API Management.
The main findings of the report suggest that the API Management market will continue to grow at a high rate in the coming years, driven by the increasing adoption of cloud technology and microservices architecture. The report recommends that organizations should invest in API Management solutions to stay ahead of the competition and provide seamless integration between applications. Furthermore, organizations should focus on hiring skilled professionals with expertise in API Management to effectively manage their API infrastructure.
This report covers impact on COVID-19 and Russia-Ukraine wars in detail.
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Market Segmentation (by Application):
BFSI
IT and Telecom
Government and Defense
Healthcare
Retail
Media and Entertainment
Manufacturing
Others
Information is sourced from www.reportprime.com
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marketresearchtrendsblog · 4 years ago
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Healthcare API Market by Services - Global Industry Analysis & Future Growth Forecast 2020 - 2025
Patient centric health care is a rising value based model for health care deliverance, which has resulted in an enhancement in greater patient satisfaction, better outcomes and care quality. Increasing center of attention on patient centric health care delivery by application programming interfaces (APIs) has been well-known over the current past and the appearance of a host of services includes remote patient monitoring and wearable medical devices has driven the need for healthcare application programming interfaces solutions. It is not all the time easy to choose which new doctor to consult. With the help of healthcare API, patients can get details such as specialty, experience and timing of a doctor before consulting them.
Patients can now follow their appointment indication and go only when essential. Additionally, healthcare API also enable remote monitoring and consultancy which in turn is carrying high quality medical aid to general people and rising in demand particularly in economies under progress. Payment processes are also being made quickly by these APIs.
How Big is the Healthcare API Market?
The healthcare API market is expected to exceed more than US$ 243 million by 2025; Growing at a CAGR of more than 4% in the given forecast period.
The healthcare API market is segmented on the lines of its services, deployment model, and end user and on regional basis. Based on services segmentation it covers medical device (wearable), payment, remote patient monitoring, appointments and electronic health record access. Under deployment model segmentation it covers cloud based and on premise. End user segmentation covers vendors, patients, healthcare providers and healthcare payers. The healthcare API market’s geographic segmentation covers various regions such as North America, Europe, Asia Pacific, Latin America, Middle East and Africa. Each geographic market is further segmented to provide market revenue for select countries such as the U.S., Canada, U.K. Germany, China, Japan, India, Brazil, and GCC countries.
Read more information about Global Market with Impact of Covid-19
To get Sample Copy of Business Report through this link: https://www.sdki.jp/sample-request-105945
This report provides:
An overview of the global market for healthcare API and related technologies.
Analyses of global market trends, with data from 2016, estimates for 2017 and 2018, and projections of compound annual growth rates (CAGRs) through 2025.
Identifications of new market opportunities and targeted promotional plans for healthcare API.
Discussion of research and development, and the demand for new products and new applications.
Comprehensive company profiles of major players in the industry.
REPORT SCOPE:
The scope of the report includes a detailed study of global and regional markets for various Healthcare API market for variations in the growth of the industry in certain regions.
The report covers detailed competitive outlook including the market share and company profiles of the key participants operating in the global market. Key players profiled in the report include Apple, Inc., Microsoft Corporation, Greenway Health, LLC, MuleSoft, Inc., General Electric Company, Practice Fusion, Inc., Epic Systems Corporation, Allscripts Healthcare Solutions Inc., eClinicalWorks LLC, and Practo Technologies Pvt. Ltd. Company profile includes assign such as company summary, financial summary, business strategy and planning, SWOT analysis and current developments.
The Top Companies Report is intended to provide our buyers with a snapshot of the industry’s most influential players.
The Healthcare API Market has been segmented as below:
By Services Analysis
Medical device (wearable) Payment Remote patient monitoring Appointments Electronic health record access
By Deployment Model Analysis
Cloud based On premise
By End User Analysis
Vendors Patients Healthcare providers Healthcare payers
By Regional Analysis North America Europe Asia-Pacific Rest of the World
Reasons to Buy this Report:
Obtain the most up to date information available on all healthcare API market.
Identify growth segments and opportunities in the industry.
Facilitate decision making on the basis of strong historic and forecast of healthcare API data.
Assess your competitor’s refining portfolio and its evolution.
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speedywinnerearthquake · 2 years ago
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AI Software Overview 2023 – Access To 500 Powerful AI Tools
Artificial Intelligence (AI) has become a mainstream technology in recent years, with businesses of all sizes incorporating AI into their operations. AI software has proven to be a game-changer in various industries, from healthcare to manufacturing, retail to transportation. In this blog, we will provide an overview of the AI software landscape in 2023 and discuss the top 500 AI tools that are available.
AI Software Landscape in 2023
The AI software landscape has evolved rapidly over the last few years, and 2023 is expected to see an increase in the adoption of AI tools. The market is forecasted to reach $190 billion by 2025, and this growth is attributed to the increasing demand for automation, machine learning, natural language processing, and computer vision.
The following are the top AI tools that are available in 2023:
TensorFlow: TensorFlow is an open-source software library developed by Google Brain Team for building and training machine learning models. It is one of the most popular AI tools used for creating neural networks, deep learning algorithms, and data analysis.
PyTorch: PyTorch is a popular open-source machine learning library that is widely used for building and training deep learning models. It provides an easy-to-use interface, making it ideal for beginners and experts alike.
Keras: Keras is an open-source neural network library that is written in Python. It is designed to enable fast experimentation with deep neural networks and is widely used in research and industry.
OpenCV: OpenCV is an open-source computer vision library that is widely used for real-time image and video processing. It provides an easy-to-use interface and supports various programming languages, making it ideal for developers.
Scikit-learn: Scikit-learn is an open-source machine learning library that provides tools for data mining and data analysis. It is widely used in research and industry for building predictive models and data visualization.
H2O.ai: H2O.ai is an open-source machine learning platform that provides tools for building and deploying machine learning models. It is widely used in finance, healthcare, and marketing industries.
Microsoft Cognitive Services: Microsoft Cognitive Services provides a set of APIs and SDKs that enable developers to add intelligent features to their applications. It includes speech recognition, natural language processing, computer vision, and decision-making tools.
Amazon AI: Amazon AI provides a set of tools and services for machine learning and artificial intelligence. It includes Amazon SageMaker, a fully-managed platform for building, training, and deploying machine learning models.
IBM Watson: IBM Watson is a cognitive computing platform that provides natural language processing, computer vision, and machine learning capabilities. It is widely used in healthcare, finance, and retail industries.
Google Cloud AI Platform: Google Cloud AI Platform provides a set of tools and services for building and deploying machine learning models. It includes TensorFlow, Keras, and other AI tools.
Conclusion
The AI software landscape has evolved rapidly in recent years, and 2023 is expected to see an increase in the adoption of AI tools. With the availability of powerful tools like TensorFlow, PyTorch, and Keras, developers can easily build and train machine learning models. OpenCV, Scikit-learn, and H2O.ai are also useful for real-time image and video processing, data mining, and predictive modeling. Additionally, cloud-based AI platforms like Microsoft Cognitive Services, Amazon AI, IBM Watson, and Google Cloud AI Platform provide a set of tools and services for building and deploying machine learning models. With the increasing availability of these tools, AI is becoming more accessible to businesses of Cloud all sizes, and we can expect to see more innovation and growth in the AI software landscape in the years to come.
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stickytriumphmagazine · 2 years ago
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AI Software Overview 2023 – Access To 500 Powerful AI Tools
Artificial Intelligence (AI) has become a mainstream technology in recent years, with businesses of all sizes incorporating AI into their operations. AI software has proven to be a game-changer in various industries, from healthcare to manufacturing, retail to transportation. In this blog, we will provide an overview of the AI software landscape in 2023 and discuss the top 500 AI tools that are available.
AI Software Landscape in 2023
The AI software landscape has evolved rapidly over the last few years, and 2023 is expected to see an increase in the adoption of AI tools. The market is forecasted to reach $190 billion by 2025, and this growth is attributed to the increasing demand for automation, machine learning, natural language processing, and computer vision.
The following are the top AI tools that are available in 2023:
TensorFlow: TensorFlow is an open-source software library developed by Google Brain Team for building and training machine learning models. It is one of the most popular AI tools used for creating neural networks, deep learning algorithms, and data analysis.
PyTorch: PyTorch is a popular open-source machine learning library that is widely used for building and training deep learning models. It provides an easy-to-use interface, making it ideal for beginners and experts alike.
Keras: Keras is an open-source neural network library that is written in Python. It is designed to enable fast experimentation with deep neural networks and is widely used in research and industry.
OpenCV: OpenCV is an open-source computer vision library that is widely used for real-time image and video processing. It provides an easy-to-use interface and supports Cloud various programming languages, making it ideal for developers.
Scikit-learn: Scikit-learn is an open-source machine learning library that provides tools for data mining and data analysis. It is widely used in research and industry for building predictive models and data visualization.
H2O.ai: H2O.ai is an open-source machine learning platform that provides tools for building and deploying machine learning models. It is widely used in finance, healthcare, and marketing industries.
Microsoft Cognitive Services: Microsoft Cognitive Services provides a set of APIs and SDKs that enable developers to add intelligent features to their applications. It includes speech recognition, natural language processing, computer vision, and decision-making tools.
Amazon AI: Amazon AI provides a set of tools and services for machine learning and artificial intelligence. It includes Amazon SageMaker, a fully-managed platform for building, training, and deploying machine learning models.
IBM Watson: IBM Watson is a cognitive computing platform that provides natural language processing, computer vision, and machine learning capabilities. It is widely used in healthcare, finance, and retail industries.
Google Cloud AI Platform: Google Cloud AI Platform provides a set of tools and services for building and deploying machine learning models. It includes TensorFlow, Keras, and other AI tools.
Conclusion
The AI software landscape has evolved rapidly in recent years, and 2023 is expected to see an increase in the adoption of AI tools. With the availability of powerful tools like TensorFlow, PyTorch, and Keras, developers can easily build and train machine learning models. OpenCV, Scikit-learn, and H2O.ai are also useful for real-time image and video processing, data mining, and predictive modeling. Additionally, cloud-based AI platforms like Microsoft Cognitive Services, Amazon AI, IBM Watson, and Google Cloud AI Platform provide a set of tools and services for building and deploying machine learning models. With the increasing availability of these tools, AI is becoming more accessible to businesses of all sizes, and we can expect to see more innovation and growth in the AI software landscape in the years to come.
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dominickpdfh637 · 2 years ago
Text
AI Software Overview 2023 – Access To 500 Powerful AI Tools
Artificial Intelligence (AI) has become a mainstream technology in recent years, with businesses of all sizes incorporating AI into their operations. AI software has proven to be a game-changer in various industries, from healthcare to manufacturing, retail to transportation. In this blog, we will provide an overview of the AI software landscape in 2023 and discuss the top 500 AI tools that are available.
AI Software Landscape in 2023
The AI software landscape has evolved rapidly over the last few years, and 2023 is expected to see an increase in the adoption of AI tools. The market is forecasted to reach $190 billion by 2025, and this growth is attributed to the increasing demand for automation, machine learning, natural language processing, and computer vision.
The following are the top AI tools that are available in 2023:
TensorFlow: TensorFlow is an open-source software library developed by Google Brain Team for building and training machine learning models. It is one of the most popular AI tools used for creating neural networks, deep learning algorithms, and data analysis.
PyTorch: PyTorch is a popular open-source machine learning library that is widely used for building and training deep learning models. It provides an easy-to-use interface, making it ideal for beginners and experts alike.
Keras: Keras is an open-source neural network library that is written in Python. It is designed to enable fast experimentation with deep neural networks and is widely used in research and industry.
OpenCV: OpenCV is an open-source computer vision library that is widely used for real-time image and video processing. It provides an easy-to-use interface and supports various programming languages, making it ideal for developers.
Scikit-learn: Scikit-learn is an open-source machine learning library that provides tools for data mining and data analysis. It is widely used in research and industry for building predictive models and data visualization.
H2O.ai: H2O.ai is an open-source machine learning platform that provides tools for building and deploying machine learning models. It is widely used in finance, healthcare, and marketing industries.
Microsoft Cognitive Services: Microsoft Cognitive Services provides a set of APIs and SDKs that enable developers to add intelligent features to their applications. It includes speech recognition, natural language processing, computer vision, and decision-making tools.
Amazon AI: Amazon AI provides a set of tools and services for machine learning and artificial intelligence. It includes Amazon SageMaker, a fully-managed platform for building, training, and deploying machine learning models.
IBM Watson: IBM Watson is a cognitive computing platform that provides natural language processing, computer vision, and machine learning capabilities. It is widely used in healthcare, finance, and retail industries.
Google Cloud AI Platform: Google Cloud AI Platform provides a set of tools and services for building and deploying machine learning models. It includes TensorFlow, Keras, and other AI tools.
Conclusion
The AI software landscape has evolved rapidly in recent years, and 2023 is expected to see an increase in the adoption of AI tools. With the availability of powerful tools like TensorFlow, PyTorch, and Keras, developers Crypto can easily build and train machine learning models. OpenCV, Scikit-learn, and H2O.ai are also useful for real-time image and video processing, data mining, and predictive modeling. Additionally, cloud-based AI platforms like Microsoft Cognitive Services, Amazon AI, IBM Watson, and Google Cloud AI Platform provide a set of tools and services for building and deploying machine learning models. With the increasing availability of these tools, AI is becoming more accessible to businesses of all sizes, and we can expect to see more innovation and growth in the AI software landscape in the years to come.
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