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Artificial Intelligence in Diagnostics Market - Global Industry Analysis

Artificial Intelligence in Diagnostics Market By Component (Software and Service), By Application (In Vivo, Radiology, OBGY, MRI, CT, Ultrasound and IVD), By End User (Hospital, Diagnostic Laboratory and Diagnostic Imaging Center): Global Industry Perspective, Comprehensive Analysis and Forecast, 2020 – 2028

Published Date: 06-Sep-2021 Category: Healthcare Report Format : PDF Pages: 145 Report Code: ZMR-5453 Status : Published

The global artificial intelligence in diagnostics market accounted for USD 407 Million in 2020 and is expected to reach USD 3982.4 Million by 2028, growing at a CAGR of 33.3% from 2021 to 2028.

Description

Market Overview

The global artificial intelligence in diagnostics market accounted for USD 407 Million in 2020 and is expected to reach USD 3982.4 Million by 2028, growing at a CAGR of 33.3% from 2021 to 2028.

Artificial intelligence (AI) is a type of machine learning that uses algorithms and software to perform tasks without the need for human intervention or instructions. Machine learning, natural language processing, reasoning, and perception are all examples of AI technologies. It's used in healthcare for things like estimating human cognition and analyzing complex medical and diagnostic imaging data. The market for artificial intelligence in healthcare diagnosis is fueled by AI's ability to improve outcomes; additionally, the growing need to improve coordination between healthcare workers and patients is fueling market growth. The growing importance of Big Data in healthcare, as well as the adoption of precision medicine and the increase in venture capital investments, are all contributing to market growth.

COVID-19 Impact Analysis

Pandemics like COVID-19 necessitate increased investments in manpower, equipment, consumables, and other resources to ensure 100 percent preparedness for hospital safety and, if necessary, patient treatment. The COVID-19 pandemic is a catalyst for AI advancement by presenting opportunities to use these tools to improve healthcare. The presence of COVID-19 has been diagnosed using AI and radiomics, which are being applied to X-ray and CT scans as advanced imaging tools in the detection and follow-up of the infection. This is because AI algorithms and radiomics for chest X-rays can assist in the implementation of large-scale screening programs. Similarly, before individuals interact with hospital staff or other patients, the Tampa General Hospital (Florida, US) uses AI-driven technology to screen them for COVID-19. The Massachusetts General Hospital in Boston, Massachusetts, also used AI-powered robots to collect vital signs and care for COVID-19 patients.

Growth Factors

The increased adoption of AI products and services in the healthcare market is due to a growing awareness of the benefits offered by AI techniques and their broad application areas. Various leading healthcare companies are forming partnerships and collaborations with leading AI technology providers in order to develop innovative AI-based solutions for healthcare applications. These strategies allow these market players to provide advanced solutions to their customers while also bolstering their position in this fast-paced market. The major drivers of market growth during the study period were startups developing AI-driven imaging and diagnostic solutions. China, the United States, and the United Kingdom are becoming popular centers for healthcare innovation. Healthcare AI startups in China have benefited from the government's AI-focused development strategy, which has encouraged investment and public-private partnerships.

Report Scope

Report Attribute Details
Base Year 2020
Historic Years 2016 - 2020
Forecast Years 2021 - 2028
Segments Covered By Product Type, By Application, and By End Use
Forecast Units Value (USD Billion), and Volume (Units)
Quantitative Units Revenue in USD million/billion and CAGR from 2021 to 2028
Regions Covered North America, Europe, Asia Pacific, Latin America, and Middle East & Africa, and Rest of World
Countries Covered U.S., Canada, Mexico, U.K., Germany, France, Italy, Spain, China, India, Japan, South Korea, Brazil, Argentina, GCC Countries, and South Africa, among others
Number of Companies Covered 10 companies with scope for including additional 15 companies upon request
Report Coverage Market growth drivers, restraints, opportunities, Porter’s five forces analysis, PEST analysis, value chain analysis, regulatory landscape, market attractiveness analysis by segments and region, company market share analysis, and COVID-19 impact analysis.
Customization Scope Avail customized purchase options to meet your exact research needs.

In terms of revenue, software was the most profitable segment in 2020, accounting for 44.3% of the market. This high percentage can be attributed to the development of AI-based software for healthcare diagnosis. One of the key drivers is the growing demand for AI-powered and cloud-based augmented diagnostic solutions that aid in improving diagnostic precision when interpreting medical images of patients. Furthermore, the implementation of more advanced AI software in diagnostics involving a combination of multiple data sources such as MRI, CT, genomics, and proteomics, as well as patient data that aids in successfully diagnosing disease and assessing its progression, is expected to drive the artificial intelligence in diagnostics industry.

Application Type Segment Analysis Preview

Neurology had a market share of 26.3% in 2020, but due to the rising growth of AI-based applications available for diagnostic imaging, radiology is expected to be the fastest growing segment over the forecast period. The neurology field has the most regulatory approvals, accounting for 18.2 percent of all AI-based medical diagnostics platform approvals. Epilepsy, Alzheimer's disease, Parkinson's disease, ischemic brain stroke, and multiple sclerosis are among the neurological disorders for which AI diagnostics can provide early detection and precise diagnosis. Radiological imaging diagnosis, on the other hand, is critical in clinical patient management. Due to its high-end performance in image recognition, machine/deep learning with Convolutional Neural Networks (CNNs) has recently gained a lot of attention. In Vivo, Radiology, OBGY, MRI, CT, Ultrasound, IVD forms the application type segment.

 

End-User Type Segment Analysis Preview

The AI in medical diagnostics market is divided into hospitals, diagnostic imaging centers, diagnostic laboratories, and other end users, depending on the end user. In 2020, the hospitals segment held the largest share of the market, accounting for 65.3% of the total. The rising number of diagnostic imaging procedures performed in hospitals, as well as hospitals' growing desire to automate and digitize radiology patient workflow, can be attributed to this segment's large share. In hospitals, there is a growing adoption of minimally invasive procedures to improve patient care quality, as well as a growing adoption of advanced imaging modalities to improve workflow efficiency. Diagnostic Laboratory, Diagnostic Imaging Center among others form the segment.

Regional Analysis Preview

With a revenue share of 42.36% in 2020, North America dominated the market. This is due to the increasing use of healthcare IT solutions in medical diagnosis, the presence of a well-established healthcare sector, and ample funding for AI-based diagnosis software development. In North America, the United States leads the market for artificial intelligence in diagnostics. This is due to the increased development and deployment of innovative and advanced medical diagnosis software, as well as the presence of a large number of players in the country operating across segments such as mobile and network operations.

During the forecast period, Asia Pacific is expected to be the most lucrative market, with a significant growth rate of 38.9% CAGR. Increased government initiatives encouraging healthcare providers and other healthcare organizations to adopt AI-based diagnostic technologies, as well as increased investments by nonprofit organizations and private companies, have improved clinical outcomes. Furthermore, increased government spending on healthcare is fueling market growth in Asia Pacific, which is driving demand for e-diagnostic services in the healthcare sector.

Key Market Players & Competitive Landscape

Some of key players in artificial intelligence in diagnostics market include Microsoft Corporation (US), NVIDIA (US), IBM (US), Intel (US), Siemens Healthineers (Germany), GE Healthcare (US), Digital Diagnostics (US), Xilinx (US), InformAI (US), Enlitic (US), Day Zero Diagnostics (US), Aidence (Netherlands), Butterfly Network, Inc. (US), Prognos (US), Zebra Medical Vision (Israel), Viz.ai (US), Quibin (Spain), Qure.ai (India), Therapixel (France), and HeartFlow (US), among others.

To gain a competitive advantage, these players are increasing collaborations and partnerships among industry participants, as well as various hospitals and research centers. For example, the American College of Radiology and NVIDIA Corporation collaborated in April 2019 to increase AI adoption in diagnostic radiology among thousands of radiologists in the United States, to be used in their own diagnostic facilities to meet clinical needs. Intel will launch the first Intel-designed AI associate degree program in the United States in 2020, in collaboration with the Maricopa County Community College District (MCCCD). Thousands of students would be able to pursue careers in high-tech, healthcare, automotive, industrial, and aerospace.

The global artificial intelligence in diagnostics market is segmented as follows:

By Component Type

  • Software
  • Services

By Application Type

  • In Vivo
  • Radiology
  • OBGY
  • MRI
  • CT
  • Ultrasound
  • IVD

By End User Type

  • Hospital
  • Diagnostic Laboratory
  • Diagnostic Imaging Center

By Region

 

 

  • North America
    • The U.S.
    • Canada
  • Europe
    • France
    • The UK
    • Spain
    • Germany
    • Italy
    • Rest of Europe
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Southeast Asia
    • Rest of Asia Pacific
  • Latin America
    • Brazil
    • Mexico
    • Rest of Latin America
  • Middle East & Africa
    • GCC
    • South Africa
    • Rest of Middle East & Africa

Table Of Content

  • Chapter No. 1 Introduction
    • 1.1. Report Description
      • 1.1.1. Purpose of the Report
      • 1.1.2. USP & Key Offerings
    • 1.2. Key Benefits for Stakehulders
    • 1.3. Target Audience
    • 1.4. Report Scope
  • Chapter No. 2 Executive Summary
    • 2.1. Key Findings
      • 2.1.1. Top Investment Pockets
        • 2.1.1.1. Market Attractiveness Analysis, By Component
        • 2.1.1.2. Market Attractiveness Analysis, By Application
        • 2.1.1.3. Market Attractiveness Analysis, By End User
        • 2.1.1.4. Market Attractiveness Analysis, By Region
    • 2.2. Market Snapshot
    • 2.3. Global Artificial Intelligence in Diagnostics Market, 2020 – 2028 (USD Million)
    • 2.4. Insights from Primary Respondents
  • Chapter No. 3 COVID 19 Impact Analysis
    • 3.1. Impact Assessment of COVID-19 Pandemic, By Region
      • 3.1.1. North America
      • 3.1.2. Europe
      • 3.1.3. Asia Pacific
      • 3.1.4. Latin America
      • 3.1.5. The Middle-East and Africa
    • 3.2. Quarterly Market Revenue and Forecast by Region 2020 & 2021
    • 3.3. Pre COVID-19 Market Revenue, By Region, 2016-2019 (USD Million)
    • 3.4. Post COVID-19 Market Revenue, By Region, 2020-2028 (USD Million)
    • 3.5. Key Strategies Undertaken by Companies to Tackle COVID-19
      • 3.5.1. Company Quarterly Revenue Analysis, 2019 & 2020
    • 3.6. Short Term Dynamics
    • 3.7. Long Term Dynamics
  • Chapter No. 4 Artificial Intelligence in Diagnostics Market – Component Segment Analysis
    • 4.1. Overview
      • 4.1.1. Market Revenue Share, By Component, 2020 & 2028
    • 4.2. Software
      • 4.2.1. Market Size and Forecast, By Region (USD Million)
      • 4.2.2. Comparative Revenue Analysis, By Country, 2020 & 2028
      • 4.2.3. Key Market Trends, Growth Factors, & Opportunities
    • 4.3. Service
      • 4.3.1. Market Size and Forecast, By Region (USD Million)
      • 4.3.2. Comparative Revenue Analysis, By Country, 2020 & 2028
      • 4.3.3. Key Market Trends, Growth Factors, & Opportunities
  • Chapter No. 5 Artificial Intelligence in Diagnostics Market – Application Segment Analysis
    • 5.1. Overview
      • 5.1.1. Market Revenue Share, By Application, 2020 & 2028
    • 5.2. In Vivo
      • 5.2.1. Market Size and Forecast, By Region (USD Million)
      • 5.2.2. Comparative Revenue Analysis, By Country, 2020 & 2028
      • 5.2.3. Key Market Trends, Growth Factors, & Opportunities
    • 5.3. Radiulogy
      • 5.3.1. Market Size and Forecast, By Region (USD Million)
      • 5.3.2. Comparative Revenue Analysis, By Country, 2020 & 2028
      • 5.3.3. Key Market Trends, Growth Factors, & Opportunities
    • 5.4. OBGY
      • 5.4.1. Market Size and Forecast, By Region (USD Million)
      • 5.4.2. Comparative Revenue Analysis, By Country, 2020 & 2028
      • 5.4.3. Key Market Trends, Growth Factors, & Opportunities
    • 5.5. MRI
      • 5.5.1. Market Size and Forecast, By Region (USD Million)
      • 5.5.2. Comparative Revenue Analysis, By Country, 2020 & 2028
      • 5.5.3. Key Market Trends, Growth Factors, & Opportunities
    • 5.6. CT
      • 5.6.1. Market Size and Forecast, By Region (USD Million)
      • 5.6.2. Comparative Revenue Analysis, By Country, 2020 & 2028
      • 5.6.3. Key Market Trends, Growth Factors, & Opportunities
    • 5.7. Ultrasound
      • 5.7.1. Market Size and Forecast, By Region (USD Million)
      • 5.7.2. Comparative Revenue Analysis, By Country, 2020 & 2028
      • 5.7.3. Key Market Trends, Growth Factors, & Opportunities
    • 5.8. IVD
      • 5.8.1. Market Size and Forecast, By Region (USD Million)
      • 5.8.2. Comparative Revenue Analysis, By Country, 2020 & 2028
      • 5.8.3. Key Market Trends, Growth Factors, & Opportunities
  • Chapter No. 6 Artificial Intelligence in Diagnostics Market – End User Segment Analysis
    • 6.1. Overview
      • 6.1.1. Market Revenue Share, By End User, 2020 & 2028
    • 6.2. Hospital
      • 6.2.1. Market Size and Forecast, By Region (USD Million)
      • 6.2.2. Comparative Revenue Analysis, By Country, 2020 & 2028
      • 6.2.3. Key Market Trends, Growth Factors, & Opportunities
    • 6.3. Diagnostic Laboratory
      • 6.3.1. Market Size and Forecast, By Region (USD Million)
      • 6.3.2. Comparative Revenue Analysis, By Country, 2020 & 2028
      • 6.3.3. Key Market Trends, Growth Factors, & Opportunities
    • 6.4. Diagnostic Imaging Center
      • 6.4.1. Market Size and Forecast, By Region (USD Million)
      • 6.4.2. Comparative Revenue Analysis, By Country, 2020 & 2028
      • 6.4.3. Key Market Trends, Growth Factors, & Opportunities
  • Chapter No. 7 Artificial Intelligence in Diagnostics Market – Regional Analysis
    • 7.1. Overview
      • 7.1.1. Global Market Revenue Share, By Region, 2020 & 2028
      • 7.1.2. Global Market Revenue, By Region, 2020 – 2028 (USD Million)
    • 7.2. North America
      • 7.2.1. North America Market Revenue, By Country, 2020 – 2028 (USD Million)
      • 7.2.2. North America Market Revenue, By Component, 2020 – 2028
      • 7.2.3. North America Market Revenue, By Application, 2020 – 2028
      • 7.2.4. North America Market Revenue, By End User, 2020 – 2028
      • 7.2.5. U.S.
        • 7.2.5.1. U.S. Market Revenue, By Component, 2020 – 2028
        • 7.2.5.2. U.S. Market Revenue, By Application, 2020 – 2028
        • 7.2.5.3. U.S. Market Revenue, By End User, 2020 – 2028
      • 7.2.6. Canada
        • 7.2.6.1. Canada Market Revenue, By Component, 2020 – 2028
        • 7.2.6.2. Canada Market Revenue, By Application, 2020 – 2028
        • 7.2.6.3. Canada Market Revenue, By End User, 2020 – 2028
      • 7.2.7. Mexico
        • 7.2.7.1. Mexico Market Revenue, By Component, 2020 – 2028
        • 7.2.7.2. Mexico Market Revenue, By Application, 2020 – 2028
        • 7.2.7.3. Mexico Market Revenue, By End User, 2020 – 2028
    • 7.3. Europe
      • 7.3.1. Europe Market Revenue, By Country, 2020 – 2028 (USD Million)
      • 7.3.2. Europe Market Revenue, By Component, 2020 – 2028
      • 7.3.3. Europe Market Revenue, By Application, 2020 – 2028
      • 7.3.4. Europe Market Revenue, By End User, 2020 – 2028
      • 7.3.5. Germany
        • 7.3.5.1. Germany Market Revenue, By Component, 2020 – 2028
        • 7.3.5.2. Germany Market Revenue, By Application, 2020 – 2028
        • 7.3.5.3. Germany Market Revenue, By End User, 2020 – 2028
      • 7.3.6. France
        • 7.3.6.1. France Market Revenue, By Component, 2020 – 2028
        • 7.3.6.2. France Market Revenue, By Application, 2020 – 2028
        • 7.3.6.3. France Market Revenue, By End User, 2020 – 2028
      • 7.3.7. U.K.
        • 7.3.7.1. U.K. Market Revenue, By Component, 2020 – 2028
        • 7.3.7.2. U.K. Market Revenue, By Application, 2020 – 2028
        • 7.3.7.3. U.K. Market Revenue, By End User, 2020 – 2028
      • 7.3.8. Italy
        • 7.3.8.1. Italy Market Revenue, By Component, 2020 – 2028
        • 7.3.8.2. Italy Market Revenue, By Application, 2020 – 2028
        • 7.3.8.3. Italy Market Revenue, By End User, 2020 – 2028
      • 7.3.9. Spain
        • 7.3.9.1. Spain Market Revenue, By Component, 2020 – 2028
        • 7.3.9.2. Spain Market Revenue, By Application, 2020 – 2028
        • 7.3.9.3. Spain Market Revenue, By End User, 2020 – 2028
      • 7.3.10. Rest of Europe
        • 7.3.10.1. Rest of Europe Market Revenue, By Component, 2020 – 2028
        • 7.3.10.2. Rest of Europe Market Revenue, By Application, 2020 – 2028
        • 7.3.10.3. Rest of Europe Market Revenue, By End User, 2020 – 2028
    • 7.4. Asia Pacific
      • 7.4.1. Asia Pacific Market Revenue, By Country, 2020 – 2028 (USD Million)
      • 7.4.2. Asia Pacific Market Revenue, By Component, 2020 – 2028
      • 7.4.3. Asia Pacific Market Revenue, By Application, 2020 – 2028
      • 7.4.4. Asia Pacific Market Revenue, By End User, 2020 – 2028
      • 7.4.5. China
        • 7.4.5.1. China Market Revenue, By Component, 2020 – 2028
        • 7.4.5.2. China Market Revenue, By Application, 2020 – 2028
        • 7.4.5.3. China Market Revenue, By End User, 2020 – 2028
      • 7.4.6. Japan
        • 7.4.6.1. Japan Market Revenue, By Component, 2020 – 2028
        • 7.4.6.2. Japan Market Revenue, By Application, 2020 – 2028
        • 7.4.6.3. Japan Market Revenue, By End User, 2020 – 2028
      • 7.4.7. India
        • 7.4.7.1. India Market Revenue, By Component, 2020 – 2028
        • 7.4.7.2. India Market Revenue, By Application, 2020 – 2028
        • 7.4.7.3. India Market Revenue, By End User, 2020 – 2028
      • 7.4.8. South Korea
        • 7.4.8.1. South Korea Market Revenue, By Component, 2020 – 2028
        • 7.4.8.2. South Korea Market Revenue, By Application, 2020 – 2028
        • 7.4.8.3. South Korea Market Revenue, By End User, 2020 – 2028
      • 7.4.9. South-East Asia
        • 7.4.9.1. South-East Asia Market Revenue, By Component, 2020 – 2028
        • 7.4.9.2. South-East Asia Market Revenue, By Application, 2020 – 2028
        • 7.4.9.3. South-East Asia Market Revenue, By End User, 2020 – 2028
      • 7.4.10. Rest of Asia Pacific
        • 7.4.10.1. Rest of Asia Pacific Market Revenue, By Component, 2020 – 2028
        • 7.4.10.2. Rest of Asia Pacific Market Revenue, By Application, 2020 – 2028
        • 7.4.10.3. Rest of Asia Pacific Market Revenue, By End User, 2020 – 2028
    • 7.5. Latin America
      • 7.5.1. Latin America Market Revenue, By Country, 2020 – 2028 (USD Million)
      • 7.5.2. Latin America Market Revenue, By Component, 2020 – 2028
      • 7.5.3. Latin America Market Revenue, By Application, 2020 – 2028
      • 7.5.4. Latin America Market Revenue, By End User, 2020 – 2028
      • 7.5.5. Brazil
        • 7.5.5.1. Brazil Market Revenue, By Component, 2020 – 2028
        • 7.5.5.2. Brazil Market Revenue, By Application, 2020 – 2028
        • 7.5.5.3. Brazil Market Revenue, By End User, 2020 – 2028
      • 7.5.6. Argentina
        • 7.5.6.1. Argentina Market Revenue, By Component, 2020 – 2028
        • 7.5.6.2. Argentina Market Revenue, By Application, 2020 – 2028
        • 7.5.6.3. Argentina Market Revenue, By End User, 2020 – 2028
      • 7.5.7. Rest of Latin America
        • 7.5.7.1. Rest of Latin America Market Revenue, By Component, 2020 – 2028
        • 7.5.7.2. Rest of Latin America Market Revenue, By Application, 2020 – 2028
        • 7.5.7.3. Rest of Latin America Market Revenue, By End User, 2020 – 2028
    • 7.6. The Middle-East and Africa
      • 7.6.1. The Middle-East and Africa Market Revenue, By Country, 2020 – 2028 (USD Million)
      • 7.6.2. The Middle-East and Africa Market Revenue, By Component, 2020 – 2028
      • 7.6.3. The Middle-East and Africa Market Revenue, By Application, 2020 – 2028
      • 7.6.4. The Middle-East and Africa Market Revenue, By End User, 2020 – 2028
      • 7.6.5. GCC Countries
        • 7.6.5.1. GCC Countries Market Revenue, By Component, 2020 – 2028
        • 7.6.5.2. GCC Countries Market Revenue, By Application, 2020 – 2028
        • 7.6.5.3. GCC Countries Market Revenue, By End User, 2020 – 2028
      • 7.6.6. South Africa
        • 7.6.6.1. South Africa Market Revenue, By Component, 2020 – 2028
        • 7.6.6.2. South Africa Market Revenue, By Application, 2020 – 2028
        • 7.6.6.3. South Africa Market Revenue, By End User, 2020 – 2028
      • 7.6.7. Rest of Middle-East Africa
        • 7.6.7.1. Rest of Middle-East Africa Market Revenue, By Component, 2020 – 2028
        • 7.6.7.2. Rest of Middle-East Africa Market Revenue, By Application, 2020 – 2028
        • 7.6.7.3. Rest of Middle-East Africa Market Revenue, By End User, 2020 – 2028
  • Chapter No. 8 Artificial Intelligence in Diagnostics Market – Industry Analysis
    • 8.1. Introduction
    • 8.2. Market Drivers
      • 8.2.1. Driving Factor 1 Analysis
      • 8.2.2. Driving Factor 2 Analysis
    • 8.3. Market Restraints
      • 8.3.1. Restraining Factor Analysis
    • 8.4. Market Opportunities
      • 8.4.1. Market Opportunity Analysis
    • 8.5. Porter’s Five Forces Analysis
    • 8.6. PEST Analysis
    • 8.7. Regulatory Landscape
    • 8.8. Technulogy Landscape
    • 8.9. Regional Market Trends
      • 8.9.1. North America
      • 8.9.2. Europe
      • 8.9.3. Asia Pacific
      • 8.9.4. Latin America
      • 8.9.5. The Middle-East and Africa
    • 8.10. Pricing Analysis
    • 8.11. Value Chain Analysis
    • 8.12. Downstream Buyers
    • 8.13. Distributors/Traders List
  • Chapter No. 9 Competitive Landscape
    • 9.1. Company Market Share Analysis – 2019
      • 9.1.1. Global Artificial Intelligence in Diagnostics Market: Company Market Share, 2019
      • 9.1.2. Global Artificial Intelligence in Diagnostics Market, Company Market Revenue, 2016 – 2019 (USD Million)
      • 9.1.3. Global Artificial Intelligence in Diagnostics Market, Company Y-o-Y Growth, 2017 – 2019 (%)
      • 9.1.4. Global Artificial Intelligence in Diagnostics Market: Radar Determinant Chart, 2019
    • 9.2. Strategic Developments
      • 9.2.1. Acquisitions & Mergers
      • 9.2.2. New Product Launch
      • 9.2.3. Regional Expansion
    • 9.3. Company Strategic Developments – Heat Map Analysis
  • Chapter No. 10 Company Profiles
    • 10.1. Microsoft Corporation
      • 10.1.1. Company Overview
      • 10.1.2. Key Executives
      • 10.1.3. Product Portfulio
      • 10.1.4. Financial Overview
      • 10.1.5. Operating Business Segments
      • 10.1.6. Business Performance
      • 10.1.7. Recent Developments
    • 10.2. NVIDIA
    • 10.3. IBM
    • 10.4. Intel
    • 10.5. Siemens Healthineers
    • 10.6. GE Healthcare
    • 10.7. Digital Diagnostics
    • 10.8. Xilinx
    • 10.9. InformAI
    • 10.10. Enlitic
    • 10.11. Day Zero Diagnostics
    • 10.12. Aidence
    • 10.13. Butterfly Network Inc.
    • 10.14. Prognos
    • 10.15. Zebra Medical Vision
      • 10.16. Viz.ai
    • 10.17. Quibin
      • 10.18. Qure.ai
    • 10.19. Therapixel
    • 10.20. HeartFlow
  • Chapter No. 11 Marketing Strategy Analysis
    • 11.1. Marketing Channel
    • 11.2. Direct Marketing
    • 11.3. Indirect Marketing
    • 11.4. Marketing Channel Development Trends
    • 11.5. Economic/Pulitical Environmental Change
  • Chapter No. 12 Research Methodulogy
    • 12.1. Research Methodulogy
    • 12.2. Phase I - Secondary Research
    • 12.3. Phase II - Data Modeling
      • 12.3.1. Company Share Analysis Model
      • 12.3.2. Revenue Based Modeling
    • 12.4. Phase III - Primary Research
    • 12.5. Research Limitations
      • 12.5.1. Assumptions

Methodology


Frequently Asked Questions

The global artificial intelligence in diagnostics market was valued at USD 407 Million in 2020.

 

The global artificial intelligence in diagnostics market is expected to reach USD 3982.4 Million by 2028, growing at a CAGR of 33.3% between 2021 to 2028.

Growing demand for low-cost diagnostic techniques, effective & efficient report analysis, and quick diagnostic data generation are some of the key factors driving the artificial intelligence in diagnostics market growth.

North America held a share of over 42.36% in the global artificial intelligence in diagnostics market. This is due to the region's growing adoption of healthcare IT solutions for medical diagnosis, as well as the presence of a well-established healthcare sector and ample funding for AI-based diagnosis software development.

Some of key players artificial intelligence in diagnostics market include Microsoft Corporation (US), NVIDIA (US), IBM (US), Intel (US), Siemens Healthineers (Germany), GE Healthcare (US), Digital Diagnostics (US), Xilinx (US), InformAI (US), Enlitic (US), Zebra Medical Vision (Israel), Viz.ai (US), Quibin (Spain), Qure.ai (India), Therapixel (France), and HeartFlow (US), among others.

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