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Global Artificial Intelligence in Medical Diagnostics Market by Component (Hardware, Services, Software), Technology (Computer Vision, Machine Learning Platforms, Natural Language Processing), Application, End-User - Forecast 2023-2030

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  • 199 Pages
  • March 2024
  • Region: Global
  • 360iResearch™
  • ID: 5313695
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The Artificial Intelligence in Medical Diagnostics Market size was estimated at USD 875.10 million in 2022, USD 1,002.07 million in 2023, and is expected to grow at a CAGR of 16.88% to reach USD 3,049.79 million by 2030.

Artificial intelligence (AI) in the medical diagnostics market encompasses the development, implementation, and application of AI-based technologies and systems to analyze clinical data, identify patterns, and derive insights for improved diagnostic accuracy and patient care. The increasing prevalence of chronic disease conditions has surged the need for enhanced imaging analysis in diagnostic applications. Rising government initiatives to promote the integration of AI/ML technologies in precision medicine and wearable devices have enhanced product development, significantly contributing to market growth. However, increasing incidences of product failures and the difficulty of AI integration with existing diagnostic systems may limit the market adoption of AI-enabled diagnostic solutions. Data privacy and security breach issues have emerged as concerning factors for market growth. Moreover, the introduction of diagnostic robotics and advanced AI technologies for medical diagnosis has created attractive opportunities for market growth. The advancing start-up ecosystem and expansion of smart hospitals are expected to leverage AI technology in medical diagnostics to bolster the growth of the market.

Regional Insights

Significant investments in AI for healthcare in the United States have led to groundbreaking research and advancements in medical diagnostics. Major countries such as the United States and Canada have the strong presence of key players equipped with technological capabilities to revolutionize medical diagnostics services through artificial intelligence integration. Europe has witnessed the emergence of several startups and established companies producing AI-driven solutions for research & development in medical diagnostics. Ongoing collaboration activities between governments, researchers, and industry players across the EMEA region are playing a crucial role to drive innovation market growth in the medical diagnostics sector. Significant countries in the APAC region, including China, Japan, and India, support regional players to leverage their expertise in robotics and advanced technologies to develop AI-driven diagnostic tools. Artificial Intelligence (AI) in medical diagnostics in the APAC has witnessed significant growth owing to its large population base, evolving healthcare infrastructure, and increasing adoption of advanced technologies.

FPNV Positioning Matrix

The FPNV Positioning Matrix is pivotal in evaluating the Artificial Intelligence in Medical Diagnostics 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 Medical Diagnostics 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 Medical Diagnostics Market, highlighting leading vendors and their innovative profiles. These include 3M Company, AiCure, LLC, Aidoc Medical Ltd., Butterfly Network, Inc., Cera Care Limited, Cisco Systems, Inc., Corti - AI, Digital Diagnostics Inc., Edifecs, Inc., Enlitic, Inc., Epredia by PHC Holdings Corporation, Freenome Holdings, Inc., GE HealthCare Technologies, Inc., General Vision, Inc., Google LLC by Alphabet Inc., Hewlett Packard Enterprise Development LP, Imagen Technologies, Inc., Intel Corporation, International Business Machines Corporation, Johnson & Johnson Services, Inc., Kantify, Koninklijke Philips N.V., Medtronic PLC, Microsoft Corporation, Nano-X Imaging Ltd., NEC Corporation, NVIDIA Corporation, Persistent Systems Limited, Qure.ai Technologies Private limited, Siemens Healthineers AG, SigTuple Technologies Private Limited, Stryker Corporation, Tempus Labs, Inc., and VUNO Inc.

Market Segmentation & Coverage

This research report categorizes the Artificial Intelligence in Medical Diagnostics Market to forecast the revenues and analyze trends in each of the following sub-markets:

  • Component
    • Hardware
    • Services
      • Tele Monitoring
      • Tele-Consultation
    • Software
  • Technology
    • Computer Vision
    • Machine Learning Platforms
    • Natural Language Processing
    • Robotic Processes Automation
  • Application
    • Cardiology
    • Neurology
    • Oncology
    • Ophthalmology
    • Pathology
    • Pulmonology
  • 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 Medical Diagnostics Market?
  2. Which products, segments, applications, and areas should one consider investing in over the forecast period in the Artificial Intelligence in Medical Diagnostics Market?
  3. What are the technology trends and regulatory frameworks in the Artificial Intelligence in Medical Diagnostics Market?
  4. What is the market share of the leading vendors in the Artificial Intelligence in Medical Diagnostics Market?
  5. Which modes and strategic moves are suitable for entering the Artificial Intelligence in Medical Diagnostics Market?

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Table of Contents

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 Medical Diagnostics Market, by Region
5. Market Insights
5.1. Market Dynamics
5.1.1. Drivers
5.1.1.1. Prevalence of chronic diseases and need for enhanced imaging analysis
5.1.1.2. Government initiatives to promote the integration of AI/ML technologies in healthcare
5.1.1.3. Adoption of AI technologies in precision medicine and wearable devices
5.1.2. Restraints
5.1.2.1. Chances of failures and difficulty of integration with existing systems
5.1.3. Opportunities
5.1.3.1. Introduction of diagnostic robotics and advanced AI technologies for medical diagnosis
5.1.3.2. Advancing start-up ecosystem and expansion of smart hospitals
5.1.4. Challenges
5.1.4.1. Concerns regarding data privacy and security breaches
5.2. Market Segmentation Analysis
5.2.1. Component: Availability of a diverse range of software components to offer enhanced diagnostics decision
5.2.2. Technology: Extensive advancements in computer vision technologies for improved image analysis
5.2.3. Application: Adoption of AI in cardiology segment to enhance diagnostic accuracy
5.2.4. End-User: Utilization of AI for large data set diagnosis in hospitals and clinics
5.3. Market Trend Analysis
5.3.1. Increasing adoption of AI-based medical diagnosis tools in the Americas region due to supportive government policies and strong market presence
5.3.2. Favorable government initiatives and evolving healthcare infrastructure show immense opportunity for AI in healthcare diagnostics in APAC
5.3.3. Strong public-private investment scenario for AI in medical diagnostics across EMEA, backed by substantial R&D activities by emerging and established startups in the region
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 Medical Diagnostics Market, by Component
6.1. Introduction
6.2. Hardware
6.3. Services
6.4.1. Tele Monitoring
6.4.2. Tele-Consultation
6.4. Software
7. Artificial Intelligence in Medical Diagnostics Market, by Technology
7.1. Introduction
7.2. Computer Vision
7.3. Machine Learning Platforms
7.4. Natural Language Processing
7.5. Robotic Processes Automation
8. Artificial Intelligence in Medical Diagnostics Market, by Application
8.1. Introduction
8.2. Cardiology
8.3. Neurology
8.4. Oncology
8.5. Ophthalmology
8.6. Pathology
8.7. Pulmonology
9. Artificial Intelligence in Medical Diagnostics 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 Medical Diagnostics 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 Medical Diagnostics 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 Medical Diagnostics 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. GE HealthCare to Acquire Caption Health, Expanding Ultrasound to Support New Users Through FDA-Cleared, AI-Powered Image Guidance
13.3.2. Agreement, Collaboration, & Partnership
13.3.2.1. XtalPi and CK Extend Partnership to Develop AI Cancer Diagnostic Models
13.3.2.2. Aidoc Expands its Partnership with GLEAMER to Enhance its Chest Imaging AI Suite
13.3.2.3. Enlitic and Blackford Join Forces to Revolutionize Medical Imaging Data Standardization
13.3.2.4. Nanox Announces Strategic Manufacturing Agreement with Varex Imaging Corporation to Advance the Nanox.ARC Medical Imaging System
13.3.2.5. Microsoft Strikes Partnership with Paige to Advance Cancer Diagnostics and Treatment
13.3.3. New Product Launch & Enhancement
13.3.3.1. Aidoc Launches AI-based Full Brain Solution for Stroke Detection
13.3.4. Investment & Funding
13.3.4.1. Corti’s AI-Powered Healthcare Solution Attracts USD 60 Million Investment
13.3.4.2. SigTuple Raises USD 4.3 Million in Series C Round
13.3.5. Award, Recognition, & Expansion
13.3.5.1. VUNO Secures FDA 510(k) Clearance for VUNO Med-DeepBrain
13.3.5.2. GE HealthCare Signs USD 44 Million Contract with BARDA to Develop Artificial Intelligence-Augmented Ultrasound Technology to Aid Clinicians in Diagnosing and Treating Traumatic Injury
13.3.5.3. Butterfly Network Announces New FDA-Cleared AI-Enabled Lung Tool
14. Competitive Portfolio
14.1. Key Company Profiles
14.1.1. 3M Company
14.1.2. AiCure, LLC
14.1.3. Aidoc Medical Ltd.
14.1.4. Butterfly Network, Inc.
14.1.5. Cera Care Limited
14.1.6. Cisco Systems, Inc.
14.1.7. Corti - AI
14.1.8. Digital Diagnostics Inc.
14.1.9. Edifecs, Inc.
14.1.10. Enlitic, Inc.
14.1.11. Epredia by PHC Holdings Corporation
14.1.12. Freenome Holdings, Inc.
14.1.13. GE HealthCare Technologies, Inc.
14.1.14. General Vision, Inc.
14.1.15. Google LLC by Alphabet Inc.
14.1.16. Hewlett Packard Enterprise Development LP
14.1.17. Imagen Technologies, Inc.
14.1.18. Intel Corporation
14.1.19. International Business Machines Corporation
14.1.20. Johnson & Johnson Services, Inc.
14.1.21. Kantify
14.1.22. Koninklijke Philips N.V.
14.1.23. Medtronic PLC
14.1.24. Microsoft Corporation
14.1.25. Nano-X Imaging Ltd.
14.1.26. NEC Corporation
14.1.27. NVIDIA Corporation
14.1.28. Persistent Systems Limited
14.1.29. Qure.ai Technologies Private limited
14.1.30. Siemens Healthineers AG
14.1.31. SigTuple Technologies Private Limited
14.1.32. Stryker Corporation
14.1.33. Tempus Labs, Inc.
14.1.34. VUNO Inc.
14.2. Key Product Portfolio
15. Appendix
15.1. Discussion Guide
15.2. License & Pricing
List of Figures
FIGURE 1. ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET RESEARCH PROCESS
FIGURE 2. ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET SIZE, 2022 VS 2030
FIGURE 3. ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET SIZE, 2018-2030 (USD MILLION)
FIGURE 4. ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET SIZE, BY REGION, 2022 VS 2030 (%)
FIGURE 5. ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET SIZE, BY REGION, 2022 VS 2023 VS 2030 (USD MILLION)
FIGURE 6. ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET DYNAMICS
FIGURE 7. ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET SIZE, BY COMPONENT, 2022 VS 2030 (%)
FIGURE 8. ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET SIZE, BY COMPONENT, 2022 VS 2023 VS 2030 (USD MILLION)
FIGURE 9. ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET SIZE, BY TECHNOLOGY, 2022 VS 2030 (%)
FIGURE 10. ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET SIZE, BY TECHNOLOGY, 2022 VS 2023 VS 2030 (USD MILLION)
FIGURE 11. ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET SIZE, BY APPLICATION, 2022 VS 2030 (%)
FIGURE 12. ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET SIZE, BY APPLICATION, 2022 VS 2023 VS 2030 (USD MILLION)
FIGURE 13. ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET SIZE, BY END-USER, 2022 VS 2030 (%)
FIGURE 14. ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET SIZE, BY END-USER, 2022 VS 2023 VS 2030 (USD MILLION)
FIGURE 15. AMERICAS ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET SIZE, BY COUNTRY, 2022 VS 2030 (%)
FIGURE 16. AMERICAS ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET SIZE, BY COUNTRY, 2022 VS 2023 VS 2030 (USD MILLION)
FIGURE 17. UNITED STATES ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET SIZE, BY STATE, 2022 VS 2030 (%)
FIGURE 18. UNITED STATES ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET SIZE, BY STATE, 2022 VS 2023 VS 2030 (USD MILLION)
FIGURE 19. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET SIZE, BY COUNTRY, 2022 VS 2030 (%)
FIGURE 20. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET SIZE, BY COUNTRY, 2022 VS 2023 VS 2030 (USD MILLION)
FIGURE 21. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET SIZE, BY COUNTRY, 2022 VS 2030 (%)
FIGURE 22. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET SIZE, BY COUNTRY, 2022 VS 2023 VS 2030 (USD MILLION)
FIGURE 23. ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET, FPNV POSITIONING MATRIX, 2022
FIGURE 24. ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET SHARE, BY KEY PLAYER, 2022

Companies Mentioned

  • 3M Company
  • AiCure, LLC
  • Aidoc Medical Ltd.
  • Butterfly Network, Inc.
  • Cera Care Limited
  • Cisco Systems, Inc.
  • Corti - AI
  • Digital Diagnostics Inc.
  • Edifecs, Inc.
  • Enlitic, Inc.
  • Epredia by PHC Holdings Corporation
  • Freenome Holdings, Inc.
  • GE HealthCare Technologies, Inc.
  • General Vision, Inc.
  • Google LLC by Alphabet Inc.
  • Hewlett Packard Enterprise Development LP
  • Imagen Technologies, Inc.
  • Intel Corporation
  • International Business Machines Corporation
  • Johnson & Johnson Services, Inc.
  • Kantify
  • Koninklijke Philips N.V.
  • Medtronic PLC
  • Microsoft Corporation
  • Nano-X Imaging Ltd.
  • NEC Corporation
  • NVIDIA Corporation
  • Persistent Systems Limited
  • Qure.ai Technologies Private limited
  • Siemens Healthineers AG
  • SigTuple Technologies Private Limited
  • Stryker Corporation
  • Tempus Labs, Inc.
  • VUNO Inc.

Methodology

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