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Artificial Intelligence in Diagnostics Market 2030 Size Reached US$ 10.8 Bn by 2030

The global Artificial Intelligence in Diagnostics market size is expected to be worth around US$ 10.8 billion by 2030, according to a new report by Vision Research Reports.

The global Artificial Intelligence in Diagnostics market size was valued at US$ 540.3 Mn in 2020 and is anticipated to grow at a CAGR of 35.8% during forecast period 2021 to 2030.

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Artificial Intelligence in Diagnostics Market (By Component: Software, Hardware, Services; By Diagnosis Type: Cardiology, Oncology, Pathology, Radiology, Chest and Lung, Neurology, Others) - Global Industry Analysis, Size, Share, Growth, Trends, Revenue, Regional Outlook 2021 – 2030

Artificial Intelligence in Diagnostics Market Size 2021 to 2030

Growth Factors

Rising number of AI-based diagnostic startups in healthcare sector along with increasing investments by venture capitalists for development of newer and innovative technologies which can provide effective and fast results with respect to diagnostic processes is supporting the market growth.

Based on component, the software segment dominated the market with a share of 44.3% in 2020. This high share is attributable to the rising demand for AI-powered software tools and cloud-based solutions for diagnostic purposes. In addition, technological advancements in artificial intelligence-based software by integration of multiple data points such as CT, and genomics for precise diagnosis and detection are further propelling the overall growth and adoption.

Report Highlights

The software segment dominated the market and accounted for the largest revenue share of 54.3% in 2020. Increasing demand for cloud-based and AI-powered or augmented diagnostic solutions to increase diagnostic precision while analyzing and interpreting medical images of a patient is boosting segment growth.

The neurology segment dominated the market for artificial intelligence in diagnostics and accounted for the largest revenue share of 34.7% in 2020. Increasing consumer shift toward value-based care, early diagnosis and precise detection provided by artificial intelligence-based solutions, and rising prevalence of various neurological diseases, such as epilepsy, Alzheimer's disease, ischemic brain stroke, Parkinson’s disease and multiple sclerosis, is driving the segment growth.

North America dominated the artificial intelligence in diagnostics market and accounted for the highest revenue share of 65.9%. The region is anticipated to grow at the fastest rate during the forecast period. The presence of an established healthcare sector, growing adoption of healthcare IT solutions in medical diagnosis, and lucrative funding options available for the development of AI-based diagnosis software are factors contributing to regional market growth.

Key Players

  • Aidoc
  • AliveCor
  • GE Healthcare
  • Imagen Technologies
  • Vuno Inc.
  • IDx Technologies Inc.
  • Siemens Healthcare GmbH
  • Neural Analytics
  • Riverain Technologies
  • Zebra Medical Vision
Report Coverage Detilas
Market Size US$ 10.8 billion by 2030
Growth Rate CAGR of 35.8% From 2021 to 2030
Base Year 2020
Historic Data 2017 to 2020
Forecast Period 2021 to 2030
Segments Covered Component, Diagnosis type
Regional Scope North America, Latin America, Europe, Asia Pacific, MEA
Companies Mentioned Aidoc; AliveCor; GE Healthcare; ImagenTechnologies; Vuno Inc.; IDx Technologies Inc.; Siemens Healthcare GmbH; Neural Analytics; Riverain Technologies; Zebra Medical Vision.

Market Segmentation

  • Component Outlook

    • Software
    • Hardware
    • Services
  • Diagnosis Type Outlook

    • Cardiology
    • Oncology
    • Pathology
    • Radiology
    • Chest and Lung
    • Neurology
    • Others
  • Regional Outlook

    • North America

      • U.S.
      • Canada
    • Europe

      • Germany
      • U.K.
      • France
      • Italy
      • Spain
      • Russia
    • Asia Pacific

      • Japan
      • China
      • India
      • Australia
      • Singapore
      • South Korea
    • Latin America

      • Mexico
      • Brazil
      • Argentina
    • Middle East & Africa

      • South Africa
      • Saudi Arabia
      • UAE

Table of Contents

Chapter 1. Introduction

  1. 1.1. Research Objective
  2. 1.2. Scope of the Study
  3. 1.3. Definition
  4. Chapter 2. Research Methodology
  5. 2.1. Research Approach
  6. 2.2. Data Sources
  7. 2.3. Assumptions & Limitations
  8. Chapter 3. Executive Summary
  9. 3.1. Market Snapshot
  10. Chapter 4. Market Variables and Scope
  11. 4.1. Introduction
  12. 4.2. Market Classification and Scope
  13. 4.3. Industry Value Chain Analysis
  14. 4.3.1. Raw Material Procurement Analysis
  15. 4.3.2. Sales and Distribution Channel Analysis
  16. 4.3.3. Downstream Buyer Analysis
  17. Chapter 5. Market Dynamics Analysis and Trends
  18. 5.1. Market Dynamics
  19. 5.1.1. Market Drivers
  20. 5.1.2. Market Restraints
  21. 5.1.3. Market Opportunities
  22. 5.2. Porter’s Five Forces Analysis
  23. 5.2.1. Bargaining power of suppliers
  24. 5.2.2. Bargaining power of buyers
  25. 5.2.3. Threat of substitute
  26. 5.2.4. Threat of new entrants
  27. 5.2.5. Degree of competition
  28. Chapter 6. Competitive Landscape
  29. 6.1.1. Company Market Share/Positioning Analysis
  30. 6.1.2. Key Strategies Adopted by Players
  31. 6.1.3. Vendor Landscape
  32. 6.1.3.1. List of Suppliers
  33. 6.1.3.2. List of Buyers
  34. Chapter 7. Global Artificial Intelligence in Diagnostics Market, By Component
  35. 7.1. Artificial Intelligence in Diagnostics Market, by Component, 2021-2030
  36. 7.1.1. Software
  37. 7.1.1.1. Market Revenue and Forecast (2016-2030)
  38. 7.1.2. Hardware
  39. 7.1.2.1. Market Revenue and Forecast (2016-2030)
  40. 7.1.3. Services
  41. 7.1.3.1. Market Revenue and Forecast (2016-2030)
  42. Chapter 8. Global Artificial Intelligence in Diagnostics Market, By Diagnosis Type
  43. 8.1. Artificial Intelligence in Diagnostics Market, by Diagnosis Type, 2021-2030
  44. 8.1.1. Cardiology
  45. 8.1.1.1. Market Revenue and Forecast (2016-2030)
  46. 8.1.2. Oncology
  47. 8.1.2.1. Market Revenue and Forecast (2016-2030)
  48. 8.1.3. Pathology
  49. 8.1.3.1. Market Revenue and Forecast (2016-2030)
  50. 8.1.4. Radiology
  51. 8.1.4.1. Market Revenue and Forecast (2016-2030)
  52. 8.1.5. Chest and Lung
  53. 8.1.5.1. Market Revenue and Forecast (2016-2030)
  54. 8.1.6. Neurology
  55. 8.1.6.1. Market Revenue and Forecast (2016-2030)
  56. 8.1.7. Others
  57. 8.1.7.1. Market Revenue and Forecast (2016-2030)
  58. Chapter 9. Global Artificial Intelligence in Diagnostics Market, Regional Estimates and Trend Forecast
  59. 9.1. North America
  60. 9.1.1. Market Revenue and Forecast, by Component (2016-2030)
  61. 9.1.2. Market Revenue and Forecast, by Diagnosis Type (2016-2030)
  62. 9.1.3. U.S.
  63. 9.1.3.1. Market Revenue and Forecast, by Component (2016-2030)
  64. 9.1.3.2. Market Revenue and Forecast, by Diagnosis Type (2016-2030)
  65. 9.1.4. Rest of North America
  66. 9.1.4.1. Market Revenue and Forecast, by Component (2016-2030)
  67. 9.1.4.2. Market Revenue and Forecast, by Diagnosis Type (2016-2030)
  68. 9.2. Europe
  69. 9.2.1. Market Revenue and Forecast, by Component (2016-2030)
  70. 9.2.2. Market Revenue and Forecast, by Diagnosis Type (2016-2030)
  71. 9.2.3. UK
  72. 9.2.3.1. Market Revenue and Forecast, by Component (2016-2030)
  73. 9.2.3.2. Market Revenue and Forecast, by Diagnosis Type (2016-2030)
  74. 9.2.4. Germany
  75. 9.2.4.1. Market Revenue and Forecast, by Component (2016-2030)
  76. 9.2.4.2. Market Revenue and Forecast, by Diagnosis Type (2016-2030)
  77. 9.2.5. France
  78. 9.2.5.1. Market Revenue and Forecast, by Component (2016-2030)
  79. 9.2.5.2. Market Revenue and Forecast, by Diagnosis Type (2016-2030)
  80. 9.2.6. Rest of Europe
  81. 9.2.6.1. Market Revenue and Forecast, by Component (2016-2030)
  82. 9.2.6.2. Market Revenue and Forecast, by Diagnosis Type (2016-2030)
  83. 9.3. APAC
  84. 9.3.1. Market Revenue and Forecast, by Component (2016-2030)
  85. 9.3.2. Market Revenue and Forecast, by Diagnosis Type (2016-2030)
  86. 9.3.3. India
  87. 9.3.3.1. Market Revenue and Forecast, by Component (2016-2030)
  88. 9.3.3.2. Market Revenue and Forecast, by Diagnosis Type (2016-2030)
  89. 9.3.4. China
  90. 9.3.4.1. Market Revenue and Forecast, by Component (2016-2030)
  91. 9.3.4.2. Market Revenue and Forecast, by Diagnosis Type (2016-2030)
  92. 9.3.5. Japan
  93. 9.3.5.1. Market Revenue and Forecast, by Component (2016-2030)
  94. 9.3.5.2. Market Revenue and Forecast, by Diagnosis Type (2016-2030)
  95. 9.3.6. Rest of APAC
  96. 9.3.6.1. Market Revenue and Forecast, by Component (2016-2030)
  97. 9.3.6.2. Market Revenue and Forecast, by Diagnosis Type (2016-2030)
  98. 9.4. MEA
  99. 9.4.1. Market Revenue and Forecast, by Component (2016-2030)
  100. 9.4.2. Market Revenue and Forecast, by Diagnosis Type (2016-2030)
  101. 9.4.3. GCC
  102. 9.4.3.1. Market Revenue and Forecast, by Component (2016-2030)
  103. 9.4.3.2. Market Revenue and Forecast, by Diagnosis Type (2016-2030)
  104. 9.4.4. North Africa
  105. 9.4.4.1. Market Revenue and Forecast, by Component (2016-2030)
  106. 9.4.4.2. Market Revenue and Forecast, by Diagnosis Type (2016-2030)
  107. 9.4.5. South Africa
  108. 9.4.5.1. Market Revenue and Forecast, by Component (2016-2030)
  109. 9.4.5.2. Market Revenue and Forecast, by Diagnosis Type (2016-2030)
  110. 9.4.6. Rest of MEA
  111. 9.4.6.1. Market Revenue and Forecast, by Component (2016-2030)
  112. 9.4.6.2. Market Revenue and Forecast, by Diagnosis Type (2016-2030)
  113. 9.5. Latin America
  114. 9.5.1. Market Revenue and Forecast, by Component (2016-2030)
  115. 9.5.2. Market Revenue and Forecast, by Diagnosis Type (2016-2030)
  116. 9.5.3. Brazil
  117. 9.5.3.1. Market Revenue and Forecast, by Component (2016-2030)
  118. 9.5.3.2. Market Revenue and Forecast, by Diagnosis Type (2016-2030)
  119. 9.5.4. Rest of LATAM
  120. 9.5.4.1. Market Revenue and Forecast, by Component (2016-2030)
  121. 9.5.4.2. Market Revenue and Forecast, by Diagnosis Type (2016-2030)
  122. Chapter 10. Company Profiles
  123. 10.1. Aidoc
  124. 10.1.1. Company Overview
  125. 10.1.2. Product Offerings
  126. 10.1.3. Financial Performance
  127. 10.1.4. Recent Initiatives
  128. 10.2. AliveCor
  129. 10.2.1. Company Overview
  130. 10.2.2. Product Offerings
  131. 10.2.3. Financial Performance
  132. 10.2.4. Recent Initiatives
  133. 10.3. GE Healthcare
  134. 10.3.1. Company Overview
  135. 10.3.2. Product Offerings
  136. 10.3.3. Financial Performance
  137. 10.3.4. Recent Initiatives
  138. 10.4. Imagen Technologies
  139. 10.4.1. Company Overview
  140. 10.4.2. Product Offerings
  141. 10.4.3. Financial Performance
  142. 10.4.4. Recent Initiatives
  143. 10.5. Vuno Inc.
  144. 10.5.1. Company Overview
  145. 10.5.2. Product Offerings
  146. 10.5.3. Financial Performance
  147. 10.5.4. Recent Initiatives
  148. 10.6. IDx Technologies Inc.
  149. 10.6.1. Company Overview
  150. 10.6.2. Product Offerings
  151. 10.6.3. Financial Performance
  152. 10.6.4. Recent Initiatives
  153. 10.7. Siemens Healthcare GmbH
  154. 10.7.1. Company Overview
  155. 10.7.2. Product Offerings
  156. 10.7.3. Financial Performance
  157. 10.7.4. Recent Initiatives
  158. 10.8. Riverain Technologies
  159. 10.8.1. Company Overview
  160. 10.8.2. Product Offerings
  161. 10.8.3. Financial Performance
  162. 10.8.4. Recent Initiatives
  163. 10.9. Zebra Medical Vision
  164. 10.9.1. Company Overview
  165. 10.9.2. Product Offerings
  166. 10.9.3. Financial Performance
  167. 10.9.4. Recent Initiatives
  168. Chapter 11. Research Methodology
  169. 11.1. Primary Research
  170. 11.2. Secondary Research
  171. 11.3. Assumptions
  172. Chapter 12. Appendix

12.1. About Us

Glossary of Terms

Reasons to Purchase this Report:


- Market segmentation analysis including qualitative and quantitative research incorporating the impact of economic and policy aspects
- Regional and country level analysis integrating the demand and supply forces that are influencing the growth of the market.
- Market value USD Million and volume Units Million data for each segment and sub-segment
- Competitive landscape involving the market share of major players, along with the new projects and strategies adopted by players in the past five years
- Comprehensive company profiles covering the product offerings, key financial information, recent developments, SWOT analysis, and strategies employed by the major market players

Research Methodology:

In-depth interviews and discussions were conducted with several key market participants and opinion leaders to compile the research report.

This research study involved the extensive usage of both primary and secondary data sources. The research process involved the study of various factors affecting the industry, including the government policy, market environment, competitive landscape, historical data, present trends in the market, technological innovation, upcoming technologies and the technical progress in related industry, and market risks, opportunities, market barriers and challenges. The following illustrative figure shows the market research methodology applied in this report.

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