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:
- Hardware
- Software
- Services
- Technology:
- Machine Learning
- Natural Language Processing
- Computer Vision
- Context-Aware Processing
- Application:
- Patient Data and Risk Analysis
- Medical Imaging & Diagnostics
- Drug Research and Discovery
- Inpatient Care & Hospital Management
- Healthcare Assistance Robots
- Connected Machines
- Cybersecurity
- Virtual Assistants
- Other Applications
- End User:
- Hospitals and Healthcare Providers
- Healthcare Payers
- Patients
Competitive 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:
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