Artificial Intelligence in Healthcare Diagnosis Market by Component (Hardware, Services, Software), Technology (Computer Vision, Context-Aware Computing, Machine Learning), Application, End-user - Global Forecast 2024-2030
Description
Artificial Intelligence in Healthcare Diagnosis Market by Component (Hardware, Services, Software), Technology (Computer Vision, Context-Aware Computing, Machine Learning), Application, End-user - Global Forecast 2024-2030
The Artificial Intelligence in Healthcare Diagnosis Market size was estimated at USD 2.10 billion in 2023 and expected to reach USD 2.53 billion in 2024, at a CAGR 21.23% to reach USD 8.08 billion by 2030.
AI in healthcare diagnosis uses technologies, including ML, to process and analyze data related to medical diagnosis. The ability of artificial intelligence (AI) to quickly process enormous amounts of data, identify patterns, and make more accurate diagnoses promptly than doctors have increased the use of AI in healthcare diagnosis. The growing implementation of artificial intelligence and robotics in the healthcare sector, transfigurating medical science, and accelerating investments by government and private sectors in artificial intelligence, have been promoting the use of AI in healthcare diagnosis. However, the need for more trained professionals, expertise in artificial intelligence, and data privacy concerns about using AI in hospitals and clinics impede their utmost usage. Market players are focused on technological development and privacy updation of AI in imaging & diagnosis to overcome these limitations. By using artificial intelligence in healthcare diagnosis, medical professionals are able to take more informed decisions based on more accurate information while saving time, reducing costs, and improving medical records management.
Regional Insights
Europe is expected to see a vital increase in the use of AI in healthcare diagnosis, characterized by the increasing number of advances in healthcare diagnostic technologies held in the region and AI use initiatives developed by the public healthcare authorities. The Middle East region also witnesses a rise in the establishment of smart hospitals across Saudi Arabia, UAE, and Israel, driving the potential to use AI to diagnose diseases. The Americas is home to many established AI technology providers constantly working on expanding their healthcare knowledge to upgrade their existing portfolio. AI-based diagnostic devices and systems are widely used across the U.S. and Canada to attain real-time and faster results. The Asia-Pacific region observes a slow and steady increase in AI adoption of healthcare diagnosis, with many digital transformation initiatives, healthcare startups, and diagnostic laboratories obtaining new funds for breakthrough diagnostic solutions.
FPNV Positioning Matrix
The FPNV Positioning Matrix is pivotal in evaluating the Artificial Intelligence in Healthcare Diagnosis Market. It offers a comprehensive assessment of vendors, examining key metrics related to Business Strategy and Product Satisfaction. This in-depth analysis empowers users to make well-informed decisions aligned with their requirements. Based on the evaluation, the vendors are then categorized into four distinct quadrants representing varying levels of success: Forefront (F), Pathfinder (P), Niche (N), or Vital (V).
Market Share Analysis
The Market Share Analysis is a comprehensive tool that provides an insightful and in-depth examination of the current state of vendors in the Artificial Intelligence in Healthcare Diagnosis Market. By meticulously comparing and analyzing vendor contributions in terms of overall revenue, customer base, and other key metrics, we can offer companies a greater understanding of their performance and the challenges they face when competing for market share. Additionally, this analysis provides valuable insights into the competitive nature of the sector, including factors such as accumulation, fragmentation dominance, and amalgamation traits observed over the base year period studied. With this expanded level of detail, vendors can make more informed decisions and devise effective strategies to gain a competitive edge in the market.
Key Company Profiles
The report delves into recent significant developments in the Artificial Intelligence in Healthcare Diagnosis Market, highlighting leading vendors and their innovative profiles. These include Accenture PLC, Advanced Micro Devices, Inc, Aidence B.V., Aidoc Medical Ltd., Amazon Web Services, Inc., Apixo, Inc., Appinventiv Technologies Pvt. Ltd., Arterys Inc., Butterfly Network, Inc., Caption Health, Inc., CloudMedx Inc., Day Zero Diagnostics Inc., Digital Diagnostics Inc., EchoNous Inc., Enlitic, Inc, GE HealthCare Technologies Inc., Google LLC, HeartFlow, Inc., Intel Corporation, International Business Machines Corporation, Koninkliike Philips N.V., Lunit Inc., Medtronic PLC, Microsoft Corporation, Nano-X Imaging Ltd., NovaSignal Corporation, Nvidia Corporation, Prognos Health Inc., Siemens Healthcare Private Limited, SolutionChamps Technologies Pvt. Ltd., and Sophia Genetics S A.
Market Segmentation & Coverage
This research report categorizes the Artificial Intelligence in Healthcare Diagnosis Market to forecast the revenues and analyze trends in each of the following sub-markets:
Component
Hardware
Computer Vision
Cardiology
Academic Institutions & Research Center
Americas
Argentina
California
Australia
Denmark
The report offers valuable insights on the following aspects:
- Market Penetration: It presents comprehensive information on the market provided by key players.
- Market Development: It delves deep into lucrative emerging markets and analyzes the penetration across mature market segments.
- Market Diversification: It provides detailed information on new product launches, untapped geographic regions, recent developments, and investments.
- Competitive Assessment & Intelligence: It conducts an exhaustive assessment of market shares, strategies, products, certifications, regulatory approvals, patent landscape, and manufacturing capabilities of the leading players.
- Product Development & Innovation: It offers intelligent insights on future technologies, R&D activities, and breakthrough product developments.
- What is the market size and forecast of the Artificial Intelligence in Healthcare Diagnosis Market?
- Which products, segments, applications, and areas should one consider investing in over the forecast period in the Artificial Intelligence in Healthcare Diagnosis Market?
- What are the technology trends and regulatory frameworks in the Artificial Intelligence in Healthcare Diagnosis Market?
- What is the market share of the leading vendors in the Artificial Intelligence in Healthcare Diagnosis Market?
- Which modes and strategic moves are suitable for entering the Artificial Intelligence in Healthcare Diagnosis Market?
Note: PDF & Excel + Online Access - 1 Year
Table of Contents
185 Pages
- 1. Preface
- 1.1. Objectives of the Study
- 1.2. Market Segmentation & Coverage
- 1.3. Years Considered for the Study
- 1.4. Currency & Pricing
- 1.5. Language
- 1.6. Limitations
- 1.7. Assumptions
- 1.8. Stakeholders
- 2. Research Methodology
- 2.1. Define: Research Objective
- 2.2. Determine: Research Design
- 2.3. Prepare: Research Instrument
- 2.4. Collect: Data Source
- 2.5. Analyze: Data Interpretation
- 2.6. Formulate: Data Verification
- 2.7. Publish: Research Report
- 2.8. Repeat: Report Update
- 3. Executive Summary
- 4. Market Overview
- 4.1. Introduction
- 4.2. Artificial Intelligence in Healthcare Diagnosis Market, by Region
- 5. Market Insights
- 5.1. Market Dynamics
- 5.1.1. Drivers
- 5.1.1.1. Rising adoption of artificial intelligence in healthcare research areas
- 5.1.1.2. Increasing adoption of advanced disease diagnostic solutions
- 5.1.1.3. Growing potential for AI-based tools and software for the geriatric population
- 5.1.2. Restraints
- 5.1.2.1. Shortage of trained professionals and expertise in artificial intelligence for the medical industry
- 5.1.3. Opportunities
- 5.1.3.1. Accelerating investments by government and private sectors in artificial intelligence
- 5.1.3.2. Proliferation in government approvals for AI-based healthcare diagnosis tools
- 5.1.4. Challenges
- 5.1.4.1. Concern regarding medical data privacy and the guidelines for regulatory compliance
- 5.2. Market Segmentation Analysis
- 5.3. Market Trend Analysis
- 5.4. Cumulative Impact of High Inflation
- 5.5. Porter’s Five Forces Analysis
- 5.5.1. Threat of New Entrants
- 5.5.2. Threat of Substitutes
- 5.5.3. Bargaining Power of Customers
- 5.5.4. Bargaining Power of Suppliers
- 5.5.5. Industry Rivalry
- 5.6. Value Chain & Critical Path Analysis
- 5.7. Regulatory Framework
- 6. Artificial Intelligence in Healthcare Diagnosis Market, by Component
- 6.1. Introduction
- 6.2. Hardware
- 6.3. Services
- 6.4. Software
- 7. Artificial Intelligence in Healthcare Diagnosis Market, by Technology
- 7.1. Introduction
- 7.2. Computer Vision
- 7.3. Context-Aware Computing
- 7.4. Machine Learning
- 7.5. Natural Language Processing
- 8. Artificial Intelligence in Healthcare Diagnosis Market, by Application
- 8.1. Introduction
- 8.2. Cardiology
- 8.3. Chest & Lung Scanning
- 8.4. Neurology
- 8.5. Oncology
- 8.6. Pathology
- 8.7. Radiology
- 9. Artificial Intelligence in Healthcare Diagnosis Market, by End-user
- 9.1. Introduction
- 9.2. Academic Institutions & Research Center
- 9.3. Diagnostic Center
- 9.4. Hospitals
- 10. Americas Artificial Intelligence in Healthcare Diagnosis Market
- 10.1. Introduction
- 10.2. Argentina
- 10.3. Brazil
- 10.4. Canada
- 10.5. Mexico
- 10.6. United States
- 11. Asia-Pacific Artificial Intelligence in Healthcare Diagnosis Market
- 11.1. Introduction
- 11.2. Australia
- 11.3. China
- 11.4. India
- 11.5. Indonesia
- 11.6. Japan
- 11.7. Malaysia
- 11.8. Philippines
- 11.9. Singapore
- 11.10. South Korea
- 11.11. Taiwan
- 11.12. Thailand
- 11.13. Vietnam
- 12. Europe, Middle East & Africa Artificial Intelligence in Healthcare Diagnosis Market
- 12.1. Introduction
- 12.2. Denmark
- 12.3. Egypt
- 12.4. Finland
- 12.5. France
- 12.6. Germany
- 12.7. Israel
- 12.8. Italy
- 12.9. Netherlands
- 12.10. Nigeria
- 12.11. Norway
- 12.12. Poland
- 12.13. Qatar
- 12.14. Russia
- 12.15. Saudi Arabia
- 12.16. South Africa
- 12.17. Spain
- 12.18. Sweden
- 12.19. Switzerland
- 12.20. Turkey
- 12.21. United Arab Emirates
- 12.22. United Kingdom
- 13. Competitive Landscape
- 13.1. FPNV Positioning Matrix
- 13.2. Market Share Analysis, By Key Player
- 13.3. Competitive Scenario Analysis, By Key Player
- 13.3.1. Merger & Acquisition
- 13.3.1.1. Bayer Acquires British Medical Imaging AI Developer Blackford
- 13.3.1.2. Beckman Coulter Acquires Artificial Intelligence Company Providing Evidence-Based Clinical Decision Support for Emergency Departments
- 13.3.2. Agreement, Collaboration, & Partnership
- 13.3.2.1. Microsoft Signs First AI Healthcare Partnership in Vietnam
- 13.3.2.2. Mayo Clinic Expands Artificial Intelligence-Enabled Diagnostics Partnership
- 13.3.3. New Product Launch & Enhancement
- 13.3.3.1. CLIRNET Launches India's First AI-Powered Doctor's Assistant (AiDA)
- 13.3.3.2. Philips Highlights AI-Powered Integrated Diagnostics at ECR
- 13.3.4. Investment & Funding
- 13.3.4.1. UK Government Invests GBP 16 Million in AI Healthcare Technologies to Help Speed Up Diagnostics
- 13.3.4.2. AI Medical Imaging Startup Qritive Raises USD 7.5 Million in Latest Funding
- 13.3.5. Award, Recognition, & Expansion
- 13.3.5.1. Vuno Gets US Patent for AI Medical Image Analysis Technology
- 13.3.5.2. RadNet Receives FDA Clearance for Cancer Detection Algorithms
- 14. Competitive Portfolio
- 14.1. Key Company Profiles
- 14.1.1. Accenture PLC
- 14.1.2. Advanced Micro Devices, Inc
- 14.1.3. Aidence B.V.
- 14.1.4. Aidoc Medical Ltd.
- 14.1.5. Amazon Web Services, Inc.
- 14.1.6. Apixo, Inc.
- 14.1.7. Appinventiv Technologies Pvt. Ltd.
- 14.1.8. Arterys Inc.
- 14.1.9. Butterfly Network, Inc.
- 14.1.10. Caption Health, Inc.
- 14.1.11. CloudMedx Inc.
- 14.1.12. Day Zero Diagnostics Inc.
- 14.1.13. Digital Diagnostics Inc.
- 14.1.14. EchoNous Inc.
- 14.1.15. Enlitic, Inc
- 14.1.16. GE HealthCare Technologies Inc.
- 14.1.17. Google LLC
- 14.1.18. HeartFlow, Inc.
- 14.1.19. Intel Corporation
- 14.1.20. International Business Machines Corporation
- 14.1.21. Koninkliike Philips N.V.
- 14.1.22. Lunit Inc.
- 14.1.23. Medtronic PLC
- 14.1.24. Microsoft Corporation
- 14.1.25. Nano-X Imaging Ltd.
- 14.1.26. NovaSignal Corporation
- 14.1.27. Nvidia Corporation
- 14.1.28. Prognos Health Inc.
- 14.1.29. Siemens Healthcare Private Limited
- 14.1.30. SolutionChamps Technologies Pvt. Ltd.
- 14.1.31. Sophia Genetics S A
- 14.2. Key Product Portfolio
- 15. Appendix
- 15.1. Discussion Guide
- 15.2. License & Pricing
- FIGURE 1. ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET RESEARCH PROCESS
- FIGURE 2. ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, 2023 VS 2030
- FIGURE 3. ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, 2018-2030 (USD MILLION)
- FIGURE 4. ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY REGION, 2023 VS 2030 (%)
- FIGURE 5. ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY REGION, 2023 VS 2024 VS 2030 (USD MILLION)
- FIGURE 6. ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET DYNAMICS
- FIGURE 7. ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY COMPONENT, 2023 VS 2030 (%)
- FIGURE 8. ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY COMPONENT, 2023 VS 2024 VS 2030 (USD MILLION)
- FIGURE 9. ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY TECHNOLOGY, 2023 VS 2030 (%)
- FIGURE 10. ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY TECHNOLOGY, 2023 VS 2024 VS 2030 (USD MILLION)
- FIGURE 11. ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY APPLICATION, 2023 VS 2030 (%)
- FIGURE 12. ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY APPLICATION, 2023 VS 2024 VS 2030 (USD MILLION)
- FIGURE 13. ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY END-USER, 2023 VS 2030 (%)
- FIGURE 14. ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY END-USER, 2023 VS 2024 VS 2030 (USD MILLION)
- FIGURE 15. AMERICAS ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY COUNTRY, 2023 VS 2030 (%)
- FIGURE 16. AMERICAS ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
- FIGURE 17. UNITED STATES ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY STATE, 2023 VS 2030 (%)
- FIGURE 18. UNITED STATES ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY STATE, 2023 VS 2024 VS 2030 (USD MILLION)
- FIGURE 19. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY COUNTRY, 2023 VS 2030 (%)
- FIGURE 20. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
- FIGURE 21. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY COUNTRY, 2023 VS 2030 (%)
- FIGURE 22. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
- FIGURE 23. ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET, FPNV POSITIONING MATRIX, 2023
- FIGURE 24. ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SHARE, BY KEY PLAYER, 2023
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