Artificial Intelligence
Global AI in Healthcare Market to Reach USD 152.50 Billion by 2030, Fueled by Advancements in Data Analytics and Personalized Medicine | Infinium Global Research
PUNE, India, Oct. 17, 2023 /PRNewswire/ — A recent report recently released by Infinium Global Research delves into a comprehensive analysis of various segments and sub-segments within both the global and regional AI in Healthcare Markets. This study sheds light on how drivers, constraints, and macro indicators are influencing the global and regional AI in healthcare markets in both the short and long term. The report offers a thorough exploration of trends, forecasts, and the monetary values associated with the global AI in healthcare market. Notably, the AI in healthcare sector, valued at USD 14.16 billion in 2022, is projected to surge to USD 152.50 billion by 2030, showcasing a remarkable Compound Annual Growth Rate (CAGR) of 29.87% during the forecast period spanning 2023 to 2030.
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Revolutionizing Healthcare Through Artificial Intelligence
Artificial Intelligence (AI) in healthcare harnesses advanced computational algorithms and machine learning techniques to decipher complex medical data, enabling profound transformations in the healthcare sector. The applications of AI are vast and impactful, ranging from disease diagnosis and detection to personalized treatment, drug discovery, telemedicine, and more. AI plays a pivotal role in the early detection and diagnosis of diseases by analyzing medical images like X-rays, MRIs, and CT scans with unparalleled accuracy and speed.
Additionally, AI tailors treatment plans for individual patients, considering their genetics, medical history, and personal data, leading to more effective and efficient outcomes. Moreover, AI-powered algorithms analyze extensive datasets to identify potential drug candidates, expediting the drug development process. The scope of AI in healthcare continues to expand, holding the potential to revolutionize the entire industry.
Driving Forces of AI in Healthcare
The growth of AI in healthcare is underpinned by several driving forces, including the escalating demand for advanced data analytics. AI empowers healthcare providers to process and analyze vast troves of patient data swiftly and accurately, enhancing patient care and outcomes. Personalized medicine is also propelling the market forward, as AI tailors treatment plans to individuals, leveraging their unique genetic profiles and medical histories. Diagnostic and imaging advancements are on the rise due to AI’s ability to analyze medical images with exceptional precision, contributing to early disease detection and diagnosis.
However, data privacy and security concerns pose challenges to market growth, even as AI offers numerous opportunities for innovation within the healthcare sector, particularly in rapid diagnostics, contact tracing, and vaccine development, all of which play pivotal roles in responding to global health crises.
Regional Dominance and Regulatory Frameworks
North America is poised to dominate the AI in healthcare market, driven by its advanced healthcare infrastructure, robust investment and funding, research and innovation hubs, and a thriving industry ecosystem. Notably, the United States and Canada within North America boast highly developed healthcare infrastructures, making them ideal environments for the integration of AI-powered medical solutions. Substantial investments in healthcare technology and artificial intelligence further bolster the region’s AI applications in healthcare.
Europe, on the other hand, has established stringent regulatory frameworks for AI in healthcare, including GDPR (General Data Protection Regulation) and the Medical Device Regulation (MDR). These regulations lay a clear path for AI adoption, addressing data privacy and AI medical device safety, instilling trust among patients and healthcare professionals. Europe’s active AI research and innovation landscape, facilitated by collaboration between academia and industry, significantly contribute to the development of cutting-edge AI solutions.
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Segmentation Overview
The global AI in healthcare market comprises various segments:
Offering:HardwareSoftwareServicesTechnology:Machine LearningNatural Language ProcessingComputer VisionContext-Aware ProcessingApplication:Patient Data and Risk AnalysisMedical Imaging & DiagnosticsDrug Research and DiscoveryInpatient Care & Hospital ManagementHealthcare Assistance RobotsConnected MachinesCybersecurityVirtual AssistantsOther ApplicationsEnd User:Hospitals and Healthcare ProvidersHealthcare PayersPatientsCompetitive Landscape:
The report provides profiles of the companies in the market such as Siemens, NVIDIA Corporation, IBM Corporation, Progress Software Corporation, Microsoft, Oracle, Alphabet Inc., Koninklijke Philips N.V., GE HealthCare, and Intel Corporation.
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Table of Contents
Chapter 1. Preface
1.1. Report Description
1.2. Research Methods
1.3. Research Approaches
Chapter 2. Executive Summary
2.1. AI in Healthcare Market Highlights
2.2. AI in Healthcare Market Projection
2.3. AI in Healthcare Market Regional Highlights
Chapter 3. Global AI in Healthcare Market Overview
3.1. Introduction
3.2. Market Dynamics
3.2.1. Drivers
3.2.2. Restraints
3.2.3. Opportunities
3.3. Porter`s Five Forces Analysis
3.4. IGR-Growth Matrix Analysis
3.4.1. IGR-Growth Matrix Analysis by Offering
3.4.2. IGR-Growth Matrix Analysis by Technology
3.4.3. IGR-Growth Matrix Analysis by Application
3.4.4. IGR-Growth Matrix Analysis by End User
3.4.5. IGR-Growth Matrix Analysis by Region
3.5. Value Chain Analysis of AI in Healthcare Market
Chapter 4. AI in Healthcare Market Macro Indicator Analysis
Chapter 5. Company Profiles and Competitive Landscape
5.1. Competitive Landscape in the Global AI in Healthcare Market
5.2. Companies Profiles
5.2.1. Siemens
5.2.2. NVIDIA Corporation
5.2.3. IBM Corporation
5.2.4. Progress Software Corporation
5.2.5. Microsoft
5.2.6. Oracle
5.2.7. Alphabet Inc.
5.2.8. Koninklijke Philips N.V.
5.2.9. GE HealthCare
5.2.10. Intel Corporation
Chapter 6. Global AI in Healthcare Market by Offering
6.1. Hardware
6.2. Software
6.3. Services
Chapter 7. Global AI in Healthcare Market by Technology
7.1. Machine Learning
7.2. Natural Language Processing
7.3. Computer Vision
7.4. Context Aware Processing
Chapter 8. Global AI in Healthcare Market by Application
8.1. Patient Data and Risk Analysis
8.2. Medical Imaging & Diagnostics
8.3. Drug Research and Discovery
8.4. Inpatient Care & Hospital Management
8.5. Healthcare Assistance Robots
8.6. Connected Machine
8.7. Cybersecurity
8.8. Virtual Assistants
8.9. Other Applications
Chapter 9. Global AI in Healthcare Market by End User
9.1. Hospitals and Healthcare Providers
9.2. Healthcare Payers
9.3. Patients
Chapter 10. Global AI in Healthcare Market by Region 2023-2030
10.1. North America
10.1.1. North America AI in Healthcare Market by Offering
10.1.2. North America AI in Healthcare Market by Technology
10.1.3. North America AI in Healthcare Market by Application
10.1.4. North America AI in Healthcare Market by End User
10.1.5. North America AI in Healthcare Market by Country
10.1.5.1. The U.S. AI in Healthcare Market
10.1.5.1.1. The U.S. AI in Healthcare Market by Offering
10.1.5.1.2. The U.S. AI in Healthcare Market by Technology
10.1.5.1.3. The U.S. AI in Healthcare Market by Application
10.1.5.1.4. The U.S. AI in Healthcare Market by End User
10.1.5.2. Canada AI in Healthcare Market
10.1.5.2.1. Canada AI in Healthcare Market by Offering
10.1.5.2.2. Canada AI in Healthcare Market by Technology
10.1.5.2.3. Canada AI in Healthcare Market by Application
10.1.5.2.4. Canada AI in Healthcare Market by End User
10.1.5.3. Mexico AI in Healthcare Market
10.1.5.3.1. Mexico AI in Healthcare Market by Offering
10.1.5.3.2. Mexico AI in Healthcare Market by Technology
10.1.5.3.3. Mexico AI in Healthcare Market by Application
10.1.5.3.4. Mexico AI in Healthcare Market by End User
10.2. Europe
10.2.1. Europe AI in Healthcare Market by Offering
10.2.2. Europe AI in Healthcare Market by Technology
10.2.3. Europe AI in Healthcare Market by Application
10.2.4. Europe AI in Healthcare Market by End User
10.2.5. Europe AI in Healthcare Market by Country
10.2.5.1. Germany AI in Healthcare Market
10.2.5.1.1. Germany AI in Healthcare Market by Offering
10.2.5.1.2. Germany AI in Healthcare Market by Technology
10.2.5.1.3. Germany AI in Healthcare Market by Application
10.2.5.1.4. Germany AI in Healthcare Market by End User
10.2.5.2. United Kingdom AI in Healthcare Market
10.2.5.2.1. United Kingdom AI in Healthcare Market by Offering
10.2.5.2.2. United Kingdom AI in Healthcare Market by Technology
10.2.5.2.3. United Kingdom AI in Healthcare Market by Application
10.2.5.2.4. United Kingdom AI in Healthcare Market by End User
10.2.5.3. France AI in Healthcare Market
10.2.5.3.1. France AI in Healthcare Market by Offering
10.2.5.3.2. France AI in Healthcare Market by Technology
10.2.5.3.3. France AI in Healthcare Market by Application
10.2.5.3.4. France AI in Healthcare Market by End User
10.2.5.4. Italy AI in Healthcare Market
10.2.5.4.1. Italy AI in Healthcare Market by Offering
10.2.5.4.2. Italy AI in Healthcare Market by Technology
10.2.5.4.3. Italy AI in Healthcare Market by Application
10.2.5.4.4. Italy AI in Healthcare Market by End User
10.2.5.5. Rest of Europe AI in Healthcare Market
10.2.5.5.1. Rest of Europe AI in Healthcare Market by Offering
10.2.5.5.2. Rest of Europe AI in Healthcare Market by Technology
10.2.5.5.3. Rest of Europe AI in Healthcare Market by Application
10.2.5.5.4. Rest of Europe AI in Healthcare Market by End User
10.3. Asia Pacific
10.3.1. Asia Pacific AI in Healthcare Market by Offering
10.3.2. Asia Pacific AI in Healthcare Market by Technology
10.3.3. Asia Pacific AI in Healthcare Market by Application
10.3.4. Asia Pacific AI in Healthcare Market by End User
10.3.5. Asia Pacific AI in Healthcare Market by Country
10.3.5.1. China AI in Healthcare Market
10.3.5.1.1. China AI in Healthcare Market by Offering
10.3.5.1.2. China AI in Healthcare Market by Technology
10.3.5.1.3. China AI in Healthcare Market by Application
10.3.5.1.4. China AI in Healthcare Market by End User
10.3.5.2. Japan AI in Healthcare Market
10.3.5.2.1. Japan AI in Healthcare Market by Offering
10.3.5.2.2. Japan AI in Healthcare Market by Technology
10.3.5.2.3. Japan AI in Healthcare Market by Application
10.3.5.2.4. Japan AI in Healthcare Market by End User
10.3.5.3. India AI in Healthcare Market
10.3.5.3.1. India AI in Healthcare Market by Offering
10.3.5.3.2. India AI in Healthcare Market by Technology
10.3.5.3.3. India AI in Healthcare Market by Application
10.3.5.3.4. India AI in Healthcare Market by End User
10.3.5.4. South Korea AI in Healthcare Market
10.3.5.4.1. South Korea AI in Healthcare Market by Offering
10.3.5.4.2. South Korea AI in Healthcare Market by Technology
10.3.5.4.3. South Korea AI in Healthcare Market by Application
10.3.5.4.4. South Korea AI in Healthcare Market by End User
10.3.5.5. Australia AI in Healthcare Market
10.3.5.5.1. Australia AI in Healthcare Market by Offering
10.3.5.5.2. Australia AI in Healthcare Market by Technology
10.3.5.5.3. Australia AI in Healthcare Market by Application
10.3.5.5.4. Australia AI in Healthcare Market by End User
10.3.5.6. Rest of Asia-Pacific AI in Healthcare Market
10.3.5.6.1. Rest of Asia-Pacific AI in Healthcare Market by Offering
10.3.5.6.2. Rest of Asia-Pacific AI in Healthcare Market by Technology
10.3.5.6.3. Rest of Asia-Pacific AI in Healthcare Market by Application
10.3.5.6.4. Rest of Asia-Pacific AI in Healthcare Market by End User
10.4. RoW
10.4.1. RoW AI in Healthcare Market by Offering
10.4.2. RoW AI in Healthcare Market by Technology
10.4.3. RoW AI in Healthcare Market by Application
10.4.4. RoW AI in Healthcare Market by End User
10.4.5. RoW AI in Healthcare Market by Sub-region
10.4.5.1. Latin America AI in Healthcare Market
10.4.5.1.1. Latin America AI in Healthcare Market by Offering
10.4.5.1.2. Latin America AI in Healthcare Market by Technology
10.4.5.1.3. Latin America AI in Healthcare Market by Application
10.4.5.1.4. Latin America AI in Healthcare Market by End User
10.4.5.2. Middle East AI in Healthcare Market
10.4.5.2.1. Middle East AI in Healthcare Market by Offering
10.4.5.2.2. Middle East AI in Healthcare Market by Technology
10.4.5.2.3. Middle East AI in Healthcare Market by Application
10.4.5.2.4. Middle East AI in Healthcare Market by End User
10.4.5.3. Africa AI in Healthcare Market
10.4.5.3.1. Africa AI in Healthcare Market by Offering
10.4.5.3.2. Africa AI in Healthcare Market by Technology
10.4.5.3.3. Africa AI in Healthcare Market by Application
10.4.5.3.4. Africa AI in Healthcare Market by End User
As AI continues to reshape the healthcare landscape, offering unparalleled insights and opportunities for innovation, its profound impact on disease diagnosis, treatment personalization, and patient care is set to revolutionize the global healthcare industry. For a comprehensive analysis of specific segments, emerging market trends, competitive dynamics, and growth prospects, please refer to the full research report.
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Reasons to Buy this Report:
=> Comprehensive analysis of global as well as regional markets of AI in healthcare.
=> Complete coverage of all the product types and application segments to analyze the trends, developments, and forecast of market size up to 2030.
=> Comprehensive analysis of the companies operating in this market. The company profile includes an analysis of the product portfolio, revenue, SWOT analysis, and the latest developments of the company.
=> Infinium Global Research- Growth Matrix presents an analysis of the product segments and geographies that market players should focus on to invest, consolidate, expand, and/or diversify.
About Infinium Global Research:
Infinium Global Research is a business consulting and market research firm; a group of experts that caters to fulfilling business and market research needs of leading companies in various industry verticals and business segments. The company also serves government bodies, institutes, and non-profit/non-government organizations to meet their knowledge and information needs.
Through our information services and solutions, we assist our clients to improve their performance and assess the market conditions to achieve their organizational goals. Our team of experts and analysts are engaged in continuously monitoring and assessing the market conditions to provide knowledge support to our clients. To help our clients and to stay updated with the advances and inventions in technology, business processes, regulations, and the environment, Infinium often conducts regular meets with industry experts and opinion leaders. Our key opinion leaders are involved in monitoring and assessing the progress in the business environment, so as to offer the best opinion to our clients.
Contact:
Infinium Global Research2nd Floor, Ganadish Empire,Rahatani Chowk, Pimple Saudagar,Pimpri-Chinchwad, Maharashtra 411027Phone: +918999930634Email: [email protected] Website: www.infiniumglobalresearch.com
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New analyst report recognizes Basware capabilities with the highest scores possible in the Exception Handling, Fraud and Risk Management, and Tax Compliance and Operations criteria.
CHARLOTTE, N.C., July 8, 2024 /PRNewswire/ — Basware, a global leader in AP automation and invoice processing, has been recognized as ‘a Leader’ in The Forrester Wave™: Accounts Payable Invoice Automation, Q3 2024.
CFOs, business leaders and AP (accounts payable) professionals have long sought automated invoice processes. But only recently, with the advent of AI, has there been a significant shift in the space. Companies must offer superior AI capabilities, greater automation, and more comprehensive insights into financial and cash data to attract new customers and retain existing ones.
According to the Forrester report, Basware was named as a leader in its 31-criterion evaluation. The company received the highest scores possible across 16 criteria, including Exception Handling, Fraud and Risk Management, and Tax Compliance and Operations.
The Forrester Wave™ report states:
“Basware heads the pack with a laser focus on automating the last mile of AP processes. As the largest specialist provider of APIA [Accounts Payable Invoice Automation] software, Basware has established itself as an APIA powerhouse with customer obsession, practical innovation, and solid execution. Its pragmatic product roadmap addresses critical client pain points related to compliance and fraud management.”
AP teams have been battling against external forces in recent years, such as macro-economic headwinds, the supply chain crunch, labor market shortages and expanding regulations, putting the squeeze on resources. To alleviate pressures, AP professionals need access to cost and time effective technologies that can manage increasingly complex business operations, support customers and always remain compliant with global regulations.
Nish Makwana, Finance Manager at Specsavers (customer of Basware), commented:
“Being recognized as a leader in the Forrester report confirms the outstanding performance we’ve experienced as a customer of Basware’s AP automation and Statement Matching solutions.”
In recent months, Basware has furthered its commitment to innovation and delivering value to customers and the industry by:
Partnering with Deloitte to remove manual invoice processing and accelerate finance transformationAcquiring UK-based AP Matching to boost statement reconciliationLaunching AP Protect to help protect organizations from the threat of invoice errors and fraud using AIJason Kurtz, CEO at Basware, commented:
“AP teams are tasked with managing thousands of invoices and payments every week, often putting a strain on resources and pushing them to balance speed with compliance. The answer to this challenge? Unified end-to-end APIA solutions. The industry has been calling for enhanced automated solutions to support AP departments, and we’re helping our customers save time and money, while remaining compliant with ever-changing global regulations. We believe that being named a leader sets us apart from our competitors. But we’re just getting started, and the best is yet to come.”
In 2023, Basware experienced one of its most successful financial years in its almost 40-year history. It expanded its market presence and added over 300 customers to its global portfolio of over 1000+ AP customers. During that period, Basware handled over 200 million invoices and $900 billion in invoice spend through its platform.
About Basware
Basware is how finance leaders in global enterprises can finally automate their complex, labor-intensive invoice processes and stay compliant with regulatory change. Our AP automation and invoicing platform helps you achieve a new level of efficiency – in a matter of months – while reducing errors and risks. We bring a unique combination of true automation, complete coverage, and deeper expertise to make it all just happen for our customers. That’s why the world’s most efficient AP departments at thousands of companies rely on Basware to handle over 220 million invoices per year. Basware. Now it all just happens.™
For more information visit: https://www.basware.com/en/
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Artificial Intelligence
Cato Networks Named a Leader in the 2024 Gartner Magic Quadrant for Single-Vendor SASE
Cato SASE Cloud Platform continues to shape the enterprise security market
TEL AVIV, Israel, July 8, 2024 /PRNewswire/ — Cato Networks, the SASE leader, today announced that Gartner, Inc. has recognized the company as a Leader in the 2024 Gartner® Magic Quadrant™ for Single-Vendor SASE.
“Cato’s true SASE platform is the antidote to IT complexity that persists in the face of ongoing so-called ‘platformization’ efforts,” said Shlomo Kramer, co-founder and CEO at Cato Networks. “Cato pioneered the SASE market and is shaping its future with best-in-class customer experience and a train of innovations that deliver on SASE’s promise.”
Built from its inception to be a platform, the Cato SASE Cloud combines operational excellence and an elegant customer experience. Cato’s autonomous cloud service offloads IT from the grunt work of extending, upgrading, patching, and scaling security infrastructure while sustaining resiliency and availability. “Platformization” is a portfolio approach to SASE and attempts to integrate multiple acquired products with differing code bases, form factors, policy engines, and data lakes into a single platform – an impossible task that is apparent to anyone familiar with the two approaches.
“We believe this Gartner recognition reflects what our customers experience with Cato every day,” continued Kramer.
As of July 3, 2024, on Gartner Peer Insights™, the Cato SASE Cloud Platform had an overall rating of 4.7 out of 5 for single-vendor SASE and 183 verified reviews – more than 10x of any Leader in the single-vendor SASE Magic Quadrant.
Cato Expands the Scope of Single-Vendor SASE
Gartner defines single-vendor secure access service edge (SASE) offerings as those that deliver multiple converged-network and security-as-a-service capabilities, such as software-defined WAN, secure web gateway, cloud access security broker, network firewalling and zero trust network access. These offerings use a cloud-centric architecture and are delivered by one vendor.1
The Cato SASE Cloud Platform extends beyond the original definition of SASE to deliver world-class performance and empower IT teams to eliminate threats and troubleshoot network incidents faster. Cato owns and manages the global cloud network, delivering an exceptional SASE experience to any enterprise worldwide. Functionally, Cato extends beyond threat prevention of the original SASE scope with SASE-managed endpoint protection (EPP/EDR) and SASE-based extended detection and response (XDR), the first AI-driven networking and security incident detection and response platform.
To experience Cato yourself, visit us at https://www.catonetworks.com.
1Gartner, Magic Quadrant for Single-Vendor SASE, Andrew Lerner, Jonathan Forest, Neil McDonald, Charlie Winckless, 3 July 2024
GARTNER is a registered trademark and service mark of Gartner and Magic Quadrant and PEER INSIGHTS are registered trademarks of Gartner, Inc. and/or its affiliates in the U.S. and internationally and are used herein with permission. All rights reserved.
Gartner Peer Insights content consists of the opinions of individual end users based on their own experiences with the vendors listed on the platform, should not be construed as statements of fact, nor do they represent the views of Gartner or its affiliates. Gartner does not endorse any vendor, product or service depicted in this content nor makes any warranties, expressed or implied, with respect to this content, about its accuracy or completeness, including any warranties of merchantability or fitness for a particular purpose.
Resources
Read the Cato blog, “With Great Leadership Comes Great Responsibility”Picture of Shlomo KramerCato Networks’ LogoAbout Cato NetworksCato Networks is the SASE leader, delivering enterprise security and networking in a single cloud platform. With Cato, organizations replace costly and rigid legacy infrastructure with an open and modular SASE architecture based on SD-WAN, a purpose-built global cloud network, and an embedded cloud-native security stack.
Want to learn why thousands of organizations secure their future with Cato? Visit us at www.catonetworks.com.
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Expanding Messaging Capabilities for Businesses
SAN FRANCISCO and STOCKHOLM, July 8, 2024 /PRNewswire/ — Sinch (Sinch AB (publ) – XSTO: SINCH), which is pioneering the way the world communicates through its Customer Communications Cloud, today introduced the Sinch Omnichannel Connector on Salesforce AppExchange. This innovative solution enhances conversational marketing opportunities and customer experiences by offering Salesforce Marketing Cloud customers advanced one-way and two-way messaging capabilities. The solution is now available on Salesforce AppExchange.
The Sinch Omnichannel Connector seamlessly integrates with the Salesforce ecosystem, empowering businesses to elevate their marketing strategies by reaching and engaging customers across their preferred channels. This new offering expands the reach of Salesforce Marketing Cloud platform features, providing a comprehensive suite of omnichannel messaging capabilities. Businesses can now connect with customers through one-way and two-way messaging across 13 diverse channels, including platforms like RCS, Kakao Talk, Viper, and Instagram. This expands Salesforce’s native channels of SMS, MMS, Email, WhatsApp, and LINE, providing a comprehensive communication solution.
“With the Sinch Omnichannel Connector, businesses can enhance their customer communications, personalize engagements, and maximize the return on their marketing investments,” said Jonathan Campbell, Senior Director, Messaging Products at Sinch. “Salesforce Marketing Cloud users can now leverage a broader spectrum of messaging channels through Sinch, beyond those directly supported by Salesforce, to optimize their marketing strategies and elevate customer engagement.”
To get started, Salesforce Marketing Cloud users simply need to have an existing account and onboard the Conversation API through the Sinch Dashboard. From there, they can easily activate the channels of their choice, tailoring their messaging strategy to suit their unique business needs.
Sinch has partnered with Salesforce since 2014 when Salesforce expanded its SMS offering into international markets. Sinch is a strategic supplier for Salesforce’s global SMS delivery and provides enterprise-grade messaging solutions that support Salesforce and its global customer base.
For more information visit Sinch Omnichannel Connector
Salesforce, AppExchange, Marketing Cloud and others are among the trademarks of Salesforce, Inc.
CONTACT:
For further information, please contact:
Janet LennonDirector of Global Communications [email protected]
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