Artificial Intelligence (AI) in Diagnostics Market Size, Trends [2031]

Artificial Intelligence (AI) in Diagnostics Market Size, Trends [2031]

Segments - Global Artificial Intelligence (AI) in Diagnostics Market By Component (Software & Services, Hardware), By Application (Cardiology, Oncology, Pathology, Radiology, Chest and Lung, Neurology, and Others), By End-user (Hospitals & Clinics, Diagnostic Laboratories, Diagnostic Imaging Centers, and Other), and Region (Asia Pacific, North America, Latin America, Europe, and Middle East & Africa) - Global Industry Analysis, Growth, Share, Size, Trends, and Forecast 2024 – 2032

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Report Description


Global Artificial Intelligence (AI) in Diagnostics Market Outlook 2032

The global artificial intelligence (AI) in diagnostics market size was USD 1,119.18 Million in 2023 and is likely to reach USD 13,252.50 Million by 2032, expanding at a CAGR of 33.3% during 2023–2032. The market growth is attributed to the incorporation of AI into imaging devices to improve diagnosis and increasing demand for ai-based solutions to reduce work pressure on radiologists.

Artificial intelligence (AI) in diagnostics refers to the use of advanced computing systems and algorithms to assist in the identification, analysis, and interpretation of various medical conditions, diseases, and health issues. This technology aims to enhance the accuracy and efficiency of diagnostic processes, ultimately improving patient care and outcomes.

Artificial Intelligence (AI) in Diagnostics Market Outlook

Moreover, AI in diagnostics can be applied to various medical fields, including radiology, pathology, and clinical decision-making. It utilizes machine learning techniques, which involve training computer systems to recognize patterns and make predictions based on large amounts of data. This data can come from medical imaging, patient records, and other relevant sources.

The COVID-19 pandemic has significantly impacted the healthcare system, particularly diagnostics. The lockdown measures worldwide decreased public mobility and impacted the diagnostic industry. Moreover, the COVID-19 pandemic not only affected the global economy but also greatly impacted the functioning of general hospital care for non-COVID-19 patients in hospitals across the globe.

However, with the increasing demand for diagnostic imaging procedures globally, the demand for implementing artificial intelligence in diagnostics is also increasing. According to the article "Artificial intelligence in the diagnosis of COVID-19: challenges and perspectives," published in April 2021, at different levels of the healthcare system, including diagnosis, artificial intelligence (AI) has been implemented. Particularly during the current pandemic, AI algorithms are crucial for the quick diagnosis of COVID-19 patients.

Global Artificial Intelligence (AI) in Diagnostics Market Dynamics

Major Drivers: Incorporation of AI into Imaging Devices to Improve Diagnosis

Incorporating artificial intelligence into imaging devices improve the diagnosis, which is expected to aid the overall market growth during the forecast period. For instance, the Journal of the American Medical Association article titled "An Artificial Intelligence-Based Chest X-ray Model on Human Nodule Detection Accuracy from a Multicenter Study," published in December 2021, reported that an AI algorithm was associated with improved detection of pulmonary nodules on chest radiographs as compared to unaided interpretation for different levels of detection difficulty and readers with different experience.

The research articles stated that AI could be a promising technology for medical imaging shortly.

Major Drivers: Increasing Demand for AI-based Solutions to Reduce Work Pressure on Radiologists

Over the years, the demand for AI-based solutions has increased considerably in the diagnostics industry, as these solutions have immense potential in medical image diagnosis. Some advantages include fast analysis of diagnostic images, efficient interpretation of the smallest possible data often missed by radiologists, and improved imaged triage and clinical decision support. Radiologists use these solutions to shift their focus from interpreting images to providing improved care.

Moreover, according to a study by the Association of American Medical Colleges, the shortage of radiologists could increase to nearly 42,000 by 2033. The US has as few as 100 radiologists per million population. Considering this, radiologists experience tremendous pressure and workload to interpret unlimited diagnostic data.

Existing Restraints: Inadequate AI Workforce and Ambiguous Regulatory Guidelines for Medical Software

The growth of AI workforce and the development of clear regulatory guidelines for medical software are crucial factors that need to be addressed to further optimize the integration of AI in healthcare diagnostics.

Moreover, inadequate AI Workforce: The development and implementation of AI-driven diagnostic tools require a skilled workforce with expertise in AI, data science, and healthcare. However, a shortage of professionals with these specialized skills hinders the progress of AI integration in healthcare. Investments in education and training programs to cultivate a robust AI workforce have increased to overcome this challenge.

Emerging Opportunities: Untapped Emerging Markets

Emerging markets such as India, China, and Brazil are anticipated to provide substantial growth opportunities for players operating in the AI in medical diagnostics market. This can be due to the expanding patient population in these countries. In India, as per the National Institute of Health and Family Welfare, it is estimated that there are 2 to 2.5 million cancer patients at any given point; every year, about 0.7 million new cases are reported in the country.

The healthcare sectors in emerging economies, such as India and China, are rapidly expanding with the introduction of new medical technologies with a particular focus on progressed imaging equipment. All these factors, coupled with the growing population in these countries, are anticipated to increase the medical imaging data volumes in their respective healthcare systems. This gives an untapped development opportunity for AI-based solutions in emerging countries.

Scope of the Global Artificial Intelligence (AI) in Diagnostics Market Report

The market report includes an assessment of the market trends, segments, and regional markets. Overview and dynamics have also been included in the report.

Attributes

Details

Report Title

Global Artificial Intelligence (AI) in Diagnostics Market - Global Industry Analysis, Growth, Share, Size, Trends, and Forecast

Base Year

2023

Historic Data

2017–2022

Forecast Period

2024–2032

Segmentation

By Component, By Application, By End-user

Regional Scope

Asia Pacific, North America, Latin America, Europe, and Middle East & Africa

Report Coverage

Company Share, Market Analysis and Size, Competitive Landscape, Growth Factors, Market Trends, and Revenue Forecast

Key Players Covered in the Report

Aidoc, AliveCor Inc, Carestream Health, Digital Diagnostics Inc., GE HealthCare, IMAGEN, NANO-X IMAGING LTD, Siemens Healthcare Private Limited, VUNO Inc.

 

Market Segment Insights

Component Segment Analysis

Based on component, the artificial intelligence (AI) in diagnostics market is categorized as software & services, and hardware.

The software & services segment held 77.2% share of the market in 2023, owing to the healthcare industry’s rapidly integration of AI solutions in various verticals, including diagnostics, to achieve accurate and efficient diagnosis processes. For instance, in March 2024, Philips and SyntheticMR launched AI-based quantitative brain imaging system for the detection and analysis of conditions such as multiple sclerosis, traumatic brain injuries, and dementia.

Artificial Intelligence (AI) in Diagnostics Market Component

Application Segment Analysis

In terms of applications, the artificial intelligence (AI) in diagnostics market is divided into as cardiology, oncology, pathology, radiology, chest and lung, neurology, others.

The cardiology segment held 23.2% share of the market in 2023, owing to the rising burden of cardiovascular diseases during the forecast period. For instance, according to a projection, by the World Heart Federation, CVD deaths are projected to rise from an estimated 18.9 million in 2020 to over 22.2 million in 2030 and 32.3 million in 2050. This is expected to increase the demand for AI-based diagnostics for fast and accurate CVD diagnostics.

Artificial Intelligence (AI) in Diagnostics Market Applications

End-user Segment Analysis

Based on end-user, the artificial intelligence (AI) in diagnostics market is segregated into as hospitals & clinics, diagnostic laboratories, diagnostic imaging centers, and other.

The hospitals & clinics segment held 25.1% share of the market in 2023, owing to the rise in the adoptions of AI-based diagnostic tools, integrating these technologies into their healthcare systems to enhance diagnostic accuracy and patient care.

Artificial Intelligence (AI) in Diagnostics Market End Users

Regional Outlook

On the basis of region, the global artificial intelligence (AI) in diagnostics market is fragmented into North America, Europe, Asia Pacific, Latin America, and the Middle East & Africa (MEA).

The market in North America is projected to expand at a CAGR of 33.7% during the forecast period, owing to a surge in the demand for AI-enabled solutions in diagnostics driven by the need for accurate and efficient diagnostic tools in healthcare settings. The region's healthcare industry is rapidly integrating AI-powered technologies to address the challenges posed by the rising prevalence of chronic diseases and the shortage of care providers.

Europe accounted for 31.7% share of the market in 2023. The market in Europe is projected to expand at a CAGR of 32.9% during the forecast period, due to the presence of top healthcare AI companies, and the growing demand for advanced healthcare technologies.

Artificial Intelligence (AI) in Diagnostics Market Regions

Segments

The Global Artificial Intelligence (AI) in Diagnostics Market has been segmented on the basis of

By Component

  • Software & Services
  • Hardware

By Application

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

By End-user

  • Hospitals & Clinics
  • Diagnostic Laboratories
  • Diagnostic Imaging Centers
  • Other

Region

  • Asia Pacific
  • North America
  • Latin America
  • Europe
  • Middle East & Africa

Key Players

Competitive Landscape

Key players competing in the Global Artificial Intelligence (AI) in Diagnostics Market are Aidoc, AliveCor Inc., Carestream Health, Digital Diagnostics Inc., GE HealthCare, IMAGEN, NANO-X IMAGING LTD, Siemens Healthcare Private Limited, VUNO Inc.

These companies adopted development strategies including mergers, acquisitions, partnerships, collaboration, product launches, and production expansion to expand their consumer base worldwide. For instance,

  • In February 2024, Koninklijke Philips N.V. introduced AI-enabled diagnostic imaging and treatment innovations at the European Congress Of Radiology (ECR) annual meeting in Vienna.

  • In January 2024, the FDA granted De Novo authorization to AI diagnostic tools developed by Imvaria and Darmiyan. This tool analyzes CT scans and identifies patterns indicative of idiopathic pulmonary fibrosis (IPF).

    Artificial Intelligence (AI) in Diagnostics Market Key Players

 

Frequently Asked Questions

The base year considered for the global Artificial Intelligence (AI) in Diagnostics market report is 2023. The complete analysis period is 2022 to 2032, wherein, 2017, and 2022 are the historic years, and the forecast is provided from 2024 to 2032.

In addition to market size (in US$ Million) Company Market Share (in % for the base year 2022) is available in the report. Moreover, additional data analysis can be provided on request.

The COVID-19 pandemic has led to several changes in various industries, including the global artificial intelligence (AI) in diagnostics market. While the pandemic has caused significant challenges, it has also accelerated the adoption of AI technologies in the healthcare sector. Moreover, the pandemic has highlighted the need for fast and accurate diagnostic tools to identify and manage infectious diseases. AI-powered diagnostic tools can help in early detection, reducing the spread of the virus and improving patient outcomes.

Aidoc, AliveCor, Inc., Carestream Health, Digital Diagnostics Inc., GE HealthCare, IMAGEN, NANO-X IMAGING LTD, Siemens Healthcare Private Limited, and VUNO Inc

Rising GDPs of emerging economies, income levels are expected to act as macroeconomic factors for the market.

Hospitals & clinics, diagnostic laboratories, and diagnostic imaging centers are the end-user of Artificial Intelligence (AI) in Diagnostics.

According to this Growth Market Reports report, the Artificial Intelligence (AI) in Diagnostics Market is likely to register a CAGR of 33.3% during the forecast period 2023-2032, with an anticipated valuation of USD 13,252.5 Million by the end of 2032.

Incorporation of AI into imaging devices to improve diagnosis and increasing demand for AI-based solutions to reduce work pressure on radiologists are the factors driving the growth of the Artificial Intelligence (AI) in Diagnostics market.

Factors such as competitive strength and market positioning are key areas considered while selecting top companies to be profiled.

Additional company profiles can be provided on request. For a discussion related to the above findings, click Speak to Analyst

Table Of Content

Chapter 1 Executive Summary
Chapter 2 Assumptions and Acronyms Used
Chapter 3 Research Methodology
Chapter 4 Artificial Intelligence (AI) in Diagnostics Market Overview
   4.1 Introduction
      4.1.1 Market Taxonomy
      4.1.2 Market Definition
      4.1.3 Macro-Economic Factors Impacting the Market Growth
   4.2 Artificial Intelligence (AI) in Diagnostics Market Dynamics
      4.2.1 Market Drivers
      4.2.2 Market Restraints
      4.2.3 Market Opportunity
   4.3 Artificial Intelligence (AI) in Diagnostics Market - Supply Chain Analysis
      4.3.1 List of Key Suppliers
      4.3.2 List of Key Distributors
      4.3.3 List of Key Consumers
   4.4 Key Forces Shaping the Artificial Intelligence (AI) in Diagnostics Market
      4.4.1 Bargaining Power of Suppliers
      4.4.2 Bargaining Power of Buyers
      4.4.3 Threat of Substitution
      4.4.4 Threat of New Entrants
      4.4.5 Competitive Rivalry
   4.5 Global Artificial Intelligence (AI) in Diagnostics Market Size & Forecast, 2017-2032
      4.5.1 Artificial Intelligence (AI) in Diagnostics Market Size and Y-o-Y Growth
      4.5.2 Artificial Intelligence (AI) in Diagnostics Market Absolute $ Opportunity
   4.6 Healthcare Expenditure Outlook
   4.7 Regulation landscape & Impact Analysis
   4.8 Patient Monitoring & Diagnostic Market Overview
   4.9 Disease Epidemiology Study: Overview
   4.10 Global Diagnostic Imaging System Market Overview
   4.11 Medical Diagnostic Market Trends
Chapter 5 Global Artificial Intelligence (AI) in Diagnostics Market Analysis and Forecast By Component
   5.1 Introduction
      5.1.1 Key Market Trends & Growth Opportunities By Component
      5.1.2 Basis Point Share (BPS) Analysis By Component
      5.1.3 Absolute $ Opportunity Assessment By Component
   5.2 Artificial Intelligence (AI) in Diagnostics Market Size Forecast By Component
      5.2.1 Software & Services
      5.2.2 Hardware
   5.3 Market Attractiveness Analysis By Component
Chapter 6 Global Artificial Intelligence (AI) in Diagnostics Market Analysis and Forecast By Application
   6.1 Introduction
      6.1.1 Key Market Trends & Growth Opportunities By Application
      6.1.2 Basis Point Share (BPS) Analysis By Application
      6.1.3 Absolute $ Opportunity Assessment By Application
   6.2 Artificial Intelligence (AI) in Diagnostics Market Size Forecast By Application
      6.2.1 Cardiology
      6.2.2 Oncology
      6.2.3 Pathology
      6.2.4 Radiology
      6.2.5 Chest and Lung
      6.2.6 Neurology
      6.2.7 Others
   6.3 Market Attractiveness Analysis By Application
Chapter 7 Global Artificial Intelligence (AI) in Diagnostics Market Analysis and Forecast By End-user
   7.1 Introduction
      7.1.1 Key Market Trends & Growth Opportunities By End-user
      7.1.2 Basis Point Share (BPS) Analysis By End-user
      7.1.3 Absolute $ Opportunity Assessment By End-user
   7.2 Artificial Intelligence (AI) in Diagnostics Market Size Forecast By End-user
      7.2.1 Hospitals & Clinics
      7.2.2 Diagnostic Laboratories
      7.2.3 Diagnostic Imaging Centers
      7.2.4 Other
   7.3 Market Attractiveness Analysis By End-user
Chapter 8 Global Artificial Intelligence (AI) in Diagnostics Market Analysis and Forecast by Region
   8.1 Introduction
      8.1.1 Key Market Trends & Growth Opportunities by Region
      8.1.2 Basis Point Share (BPS) Analysis by Region
      8.1.3 Absolute $ Opportunity Assessment by Region
   8.2 Artificial Intelligence (AI) in Diagnostics Market Size Forecast by Region
      8.2.1 North America
      8.2.2 Europe
      8.2.3 Asia Pacific
      8.2.4 Latin America
      8.2.5 Middle East & Africa (MEA)
   8.3 Market Attractiveness Analysis by Region
Chapter 9 Coronavirus Disease (COVID-19) Impact
   9.1 Introduction
   9.2 Current & Future Impact Analysis
   9.3 Economic Impact Analysis
   9.4 Government Policies
   9.5 Investment Scenario
Chapter 10 North America Artificial Intelligence (AI) in Diagnostics Analysis and Forecast
   10.1 Introduction
   10.2 North America Artificial Intelligence (AI) in Diagnostics Market Size Forecast by Country
      10.2.1 U.S.
      10.2.2 Canada
   10.3 Basis Point Share (BPS) Analysis by Country
   10.4 Absolute $ Opportunity Assessment by Country
   10.5 Market Attractiveness Analysis by Country
   10.6 North America Artificial Intelligence (AI) in Diagnostics Market Size Forecast By Component
      10.6.1 Software & Services
      10.6.2 Hardware
   10.7 Basis Point Share (BPS) Analysis By Component
   10.8 Absolute $ Opportunity Assessment By Component
   10.9 Market Attractiveness Analysis By Component
   10.10 North America Artificial Intelligence (AI) in Diagnostics Market Size Forecast By Application
      10.10.1 Cardiology
      10.10.2 Oncology
      10.10.3 Pathology
      10.10.4 Radiology
      10.10.5 Chest and Lung
      10.10.6 Neurology
      10.10.7 Others
   10.11 Basis Point Share (BPS) Analysis By Application
   10.12 Absolute $ Opportunity Assessment By Application
   10.13 Market Attractiveness Analysis By Application
   10.14 North America Artificial Intelligence (AI) in Diagnostics Market Size Forecast By End-user
      10.14.1 Hospitals & Clinics
      10.14.2 Diagnostic Laboratories
      10.14.3 Diagnostic Imaging Centers
      10.14.4 Other
   10.15 Basis Point Share (BPS) Analysis By End-user
   10.16 Absolute $ Opportunity Assessment By End-user
   10.17 Market Attractiveness Analysis By End-user
Chapter 11 Europe Artificial Intelligence (AI) in Diagnostics Analysis and Forecast
   11.1 Introduction
   11.2 Europe Artificial Intelligence (AI) in Diagnostics Market Size Forecast by Country
      11.2.1 Germany
      11.2.2 France
      11.2.3 Italy
      11.2.4 U.K.
      11.2.5 Spain
      11.2.6 Russia
      11.2.7 Rest of Europe
   11.3 Basis Point Share (BPS) Analysis by Country
   11.4 Absolute $ Opportunity Assessment by Country
   11.5 Market Attractiveness Analysis by Country
   11.6 Europe Artificial Intelligence (AI) in Diagnostics Market Size Forecast By Component
      11.6.1 Software & Services
      11.6.2 Hardware
   11.7 Basis Point Share (BPS) Analysis By Component
   11.8 Absolute $ Opportunity Assessment By Component
   11.9 Market Attractiveness Analysis By Component
   11.10 Europe Artificial Intelligence (AI) in Diagnostics Market Size Forecast By Application
      11.10.1 Cardiology
      11.10.2 Oncology
      11.10.3 Pathology
      11.10.4 Radiology
      11.10.5 Chest and Lung
      11.10.6 Neurology
      11.10.7 Others
   11.11 Basis Point Share (BPS) Analysis By Application
   11.12 Absolute $ Opportunity Assessment By Application
   11.13 Market Attractiveness Analysis By Application
   11.14 Europe Artificial Intelligence (AI) in Diagnostics Market Size Forecast By End-user
      11.14.1 Hospitals & Clinics
      11.14.2 Diagnostic Laboratories
      11.14.3 Diagnostic Imaging Centers
      11.14.4 Other
   11.15 Basis Point Share (BPS) Analysis By End-user
   11.16 Absolute $ Opportunity Assessment By End-user
   11.17 Market Attractiveness Analysis By End-user
Chapter 12 Asia Pacific Artificial Intelligence (AI) in Diagnostics Analysis and Forecast
   12.1 Introduction
   12.2 Asia Pacific Artificial Intelligence (AI) in Diagnostics Market Size Forecast by Country
      12.2.1 China
      12.2.2 Japan
      12.2.3 South Korea
      12.2.4 India
      12.2.5 Australia
      12.2.6 South East Asia (SEA)
      12.2.7 Rest of Asia Pacific (APAC)
   12.3 Basis Point Share (BPS) Analysis by Country
   12.4 Absolute $ Opportunity Assessment by Country
   12.5 Market Attractiveness Analysis by Country
   12.6 Asia Pacific Artificial Intelligence (AI) in Diagnostics Market Size Forecast By Component
      12.6.1 Software & Services
      12.6.2 Hardware
   12.7 Basis Point Share (BPS) Analysis By Component
   12.8 Absolute $ Opportunity Assessment By Component
   12.9 Market Attractiveness Analysis By Component
   12.10 Asia Pacific Artificial Intelligence (AI) in Diagnostics Market Size Forecast By Application
      12.10.1 Cardiology
      12.10.2 Oncology
      12.10.3 Pathology
      12.10.4 Radiology
      12.10.5 Chest and Lung
      12.10.6 Neurology
      12.10.7 Others
   12.11 Basis Point Share (BPS) Analysis By Application
   12.12 Absolute $ Opportunity Assessment By Application
   12.13 Market Attractiveness Analysis By Application
   12.14 Asia Pacific Artificial Intelligence (AI) in Diagnostics Market Size Forecast By End-user
      12.14.1 Hospitals & Clinics
      12.14.2 Diagnostic Laboratories
      12.14.3 Diagnostic Imaging Centers
      12.14.4 Other
   12.15 Basis Point Share (BPS) Analysis By End-user
   12.16 Absolute $ Opportunity Assessment By End-user
   12.17 Market Attractiveness Analysis By End-user
Chapter 13 Latin America Artificial Intelligence (AI) in Diagnostics Analysis and Forecast
   13.1 Introduction
   13.2 Latin America Artificial Intelligence (AI) in Diagnostics Market Size Forecast by Country
      13.2.1 Brazil
      13.2.2 Mexico
      13.2.3 Rest of Latin America (LATAM)
   13.3 Basis Point Share (BPS) Analysis by Country
   13.4 Absolute $ Opportunity Assessment by Country
   13.5 Market Attractiveness Analysis by Country
   13.6 Latin America Artificial Intelligence (AI) in Diagnostics Market Size Forecast By Component
      13.6.1 Software & Services
      13.6.2 Hardware
   13.7 Basis Point Share (BPS) Analysis By Component
   13.8 Absolute $ Opportunity Assessment By Component
   13.9 Market Attractiveness Analysis By Component
   13.10 Latin America Artificial Intelligence (AI) in Diagnostics Market Size Forecast By Application
      13.10.1 Cardiology
      13.10.2 Oncology
      13.10.3 Pathology
      13.10.4 Radiology
      13.10.5 Chest and Lung
      13.10.6 Neurology
      13.10.7 Others
   13.11 Basis Point Share (BPS) Analysis By Application
   13.12 Absolute $ Opportunity Assessment By Application
   13.13 Market Attractiveness Analysis By Application
   13.14 Latin America Artificial Intelligence (AI) in Diagnostics Market Size Forecast By End-user
      13.14.1 Hospitals & Clinics
      13.14.2 Diagnostic Laboratories
      13.14.3 Diagnostic Imaging Centers
      13.14.4 Other
   13.15 Basis Point Share (BPS) Analysis By End-user
   13.16 Absolute $ Opportunity Assessment By End-user
   13.17 Market Attractiveness Analysis By End-user
Chapter 14 Middle East & Africa (MEA) Artificial Intelligence (AI) in Diagnostics Analysis and Forecast
   14.1 Introduction
   14.2 Middle East & Africa (MEA) Artificial Intelligence (AI) in Diagnostics Market Size Forecast by Country
      14.2.1 Saudi Arabia
      14.2.2 South Africa
      14.2.3 UAE
      14.2.4 Rest of Middle East & Africa (MEA)
   14.3 Basis Point Share (BPS) Analysis by Country
   14.4 Absolute $ Opportunity Assessment by Country
   14.5 Market Attractiveness Analysis by Country
   14.6 Middle East & Africa (MEA) Artificial Intelligence (AI) in Diagnostics Market Size Forecast By Component
      14.6.1 Software & Services
      14.6.2 Hardware
   14.7 Basis Point Share (BPS) Analysis By Component
   14.8 Absolute $ Opportunity Assessment By Component
   14.9 Market Attractiveness Analysis By Component
   14.10 Middle East & Africa (MEA) Artificial Intelligence (AI) in Diagnostics Market Size Forecast By Application
      14.10.1 Cardiology
      14.10.2 Oncology
      14.10.3 Pathology
      14.10.4 Radiology
      14.10.5 Chest and Lung
      14.10.6 Neurology
      14.10.7 Others
   14.11 Basis Point Share (BPS) Analysis By Application
   14.12 Absolute $ Opportunity Assessment By Application
   14.13 Market Attractiveness Analysis By Application
   14.14 Middle East & Africa (MEA) Artificial Intelligence (AI) in Diagnostics Market Size Forecast By End-user
      14.14.1 Hospitals & Clinics
      14.14.2 Diagnostic Laboratories
      14.14.3 Diagnostic Imaging Centers
      14.14.4 Other
   14.15 Basis Point Share (BPS) Analysis By End-user
   14.16 Absolute $ Opportunity Assessment By End-user
   14.17 Market Attractiveness Analysis By End-user
Chapter 15 Competition Landscape
   15.1 Artificial Intelligence (AI) in Diagnostics Market: Competitive Dashboard
   15.2 Global Artificial Intelligence (AI) in Diagnostics Market: Market Share Analysis, 2023
   15.3 Company Profiles (Details – Overview, Financials, Developments, Strategy)
      15.3.1 Aidoc
      15.3.2 AliveCor, Inc.
      15.3.3 Carestream Health
      15.3.4 Digital Diagnostics Inc.
      15.3.5 GE HealthCare
      15.3.6 IMAGEN
      15.3.7 NANO-X IMAGING LTD
      15.3.8 Siemens Healthcare Private Limited
      15.3.9 VUNO Inc

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