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

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
  • Services
  • Software
  • Technology

    Computer Vision
  • Context-Aware Computing
  • Machine Learning
  • Natural Language Processing
  • Application

    Cardiology
  • Chest & Lung Scanning
  • Neurology
  • Oncology
  • Pathology
  • Radiology
  • End-user

    Academic Institutions & Research Center
  • Diagnostic Center
  • Hospitals
  • Region

    Americas

    Argentina
  • Brazil
  • Canada
  • Mexico
  • United States

    California
  • Florida
  • Illinois
  • New York
  • Ohio
  • Pennsylvania
  • Texas
  • Asia-Pacific

    Australia
  • China
  • India
  • Indonesia
  • Japan
  • Malaysia
  • Philippines
  • Singapore
  • South Korea
  • Taiwan
  • Thailand
  • Vietnam
  • Europe, Middle East & Africa

    Denmark
  • Egypt
  • Finland
  • France
  • Germany
  • Israel
  • Italy
  • Netherlands
  • Nigeria
  • Norway
  • Poland
  • Qatar
  • Russia
  • Saudi Arabia
  • South Africa
  • Spain
  • Sweden
  • Switzerland
  • Turkey
  • United Arab Emirates
  • United Kingdom
    The report offers valuable insights on the following aspects:

    1. Market Penetration: It presents comprehensive information on the market provided by key players.
    2. Market Development: It delves deep into lucrative emerging markets and analyzes the penetration across mature market segments.
    3. Market Diversification: It provides detailed information on new product launches, untapped geographic regions, recent developments, and investments.
    4. 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.
    5. Product Development & Innovation: It offers intelligent insights on future technologies, R&D activities, and breakthrough product developments.
    The report addresses key questions such as:

    1. What is the market size and forecast of the Artificial Intelligence in Healthcare Diagnosis Market?
    2. Which products, segments, applications, and areas should one consider investing in over the forecast period in the Artificial Intelligence in Healthcare Diagnosis Market?
    3. What are the technology trends and regulatory frameworks in the Artificial Intelligence in Healthcare Diagnosis Market?
    4. What is the market share of the leading vendors in the Artificial Intelligence in Healthcare Diagnosis Market?
    5. Which modes and strategic moves are suitable for entering the Artificial Intelligence in Healthcare Diagnosis Market?


    Note: PDF & Excel + Online Access - 1 Year

  • 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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