Artificial Intelligence (AI) in Medical Diagnostics Market

7500+ companies worldwide approach us every year for their revenue growth initiatives
Global top 2000 strategist rely on us for their growth strategies.
80% of fortune 2000 companies rely on our research to identify new revenue sources.
30000 High Growth Opportunities
95% renewal rate
KNOW MORE
  1. HOME
  2. Top Market Reports
  3. Artificial Intelligence (AI) in Medical Diagnostics Market

Artificial Intelligence (AI) in Medical Diagnostics Market by Component (Software, Service), Application (In Vivo, Radiology, Neurology, CT, MRI, X - ray, IVD), End User (Hospital, Diagnostic Imaging Center, Diagnostic Laboratory) - Global Forecast to 2027

FREE BROCHURE FREE SAMPLE REPORT
Report Code: HIT 7875 Oct, 2022, by marketsandmarkets.com

[178 Pages Report] The global AI in medical diagnostics market is projected to reach USD 5.5 billion by 2027 from USD 1.0 billion in 2022, at a CAGR of 39.9% during the forecast period. The application of AI in medical diagnostics is growing at a fast pace owing to factors such as rising government initiatives to drive the adoption of AI-based technologies, increasing adoption of AI solutions by radiologists to reduce work pressure, the influx of big data, availability of funding for AI-based startups, and the growing number of cross-industry partnerships & collaborations. However, the lack of a skilled AI workforce, ambiguity in regulations, and the reluctance among medical practitioners to adopt these solutions are factors expected to restrain the market growth.

Global AI in Medical Diagnostics Market Trend

Artificial Intelligence (Ai) in Medical Diagnostics Market

To know about the assumptions considered for the study, Request for Free Sample Report

Ai In Medical Diagnostics Market Dynamics

Driver: Influx of big data

With the increasing digitization and adoption of information systems in the healthcare industry, big data (large and complex data) is generated at various stages of the care delivery process. In the medical diagnostics industry, big data comprises information generated from clickstream and web & social media interactions; readings from medical devices, such as sensors, ECGs, X-rays, healthcare claims, and other billing records; and biometric data, among other sources. Big data and analytical solutions have grown exponentially in sophistication and adoption in the last decade with the growing adoption of EHRs, digitized laboratory slides, and high-resolution radiology images among healthcare providers. Healthcare is one of the top five big data industries, especially in the US. In the coming years, the volume of big data in medical diagnostics is expected to increase due to the use of bidirectional patient portals, which allow patients to upload data and images to their EMRs. The need to efficiently manage the ever-increasing volume of large and complex medical diagnostic data is compelling the healthcare industry to turn its focus toward various AI-based solutions

Restraint: Reluctance among medical practitioners to adopt AI-based technologies

Extensive growth in digital health has enabled healthcare providers to assist patients through novel treatment approaches. AI technologies offer doctors tools that help them diagnose and effectively treat patients better. However, there is an observed reluctance among doctors in the acceptance of new technologies. For instance, medical practitioners have a misconception that AI will replace doctors in the coming years. Doctors and radiologists believe that skills such as empathy and persuasion are human skills; thus, technologies cannot completely rule out the presence of a doctor. Additionally, there is a concern that patients may be excessively inclined toward these technologies and may forgo necessary in-person treatments, which might also challenge long-term doctor-patient relationships. Several healthcare professionals have doubts about AI capabilities in accurately diagnosing patient conditions. Therefore, it is challenging to convince providers that AI-based solutions are cost-effective, efficient, and safe solutions that offer doctors convenience and better patient care. However, healthcare providers are increasingly accepting the potential benefits of AI-based solutions and the spectrum of applications it serves. Hence, there is a possibility that in the coming years, doctors and radiologists will be more inclined toward AI-based technologies in healthcare.

Challenge: Budgetary constraints

Overcoming financial constraints is the biggest challenge for healthcare organizations, especially in emerging economies where it is always a struggle to secure budgets for IT over medical equipment. The high cost of imaging equipment and implementation & licensing costs of AI software are the major factors restraining market growth, specifically in countries where the reimbursement scenario is poor. For instance, most healthcare facilities in developing countries cannot afford AI solutions due to high installation and maintenance costs. This factor is limiting the adoption of new or technologically advanced systems. Also, implementation and subscription/licensing fees form a major financial burden on end users. Owing to these budget constraints, small healthcare facilities cannot afford these solutions. This, in turn, is expected to negatively impact the growth of AI in the medical diagnostics market.

Opportunity: Increasing focus on developing human-aware AI systems

The actual projections aimed during the emergence of AI technologies were to make them human-aware, i.e., developing models with the characteristics of human thinking. However, creating interactive and scalable machines remains a challenge for the developers of AI machines. Additionally, rise in human interference with AI techniques and interest to discover the machine learning process  has introduced new research challenges, i.e., interpretation and presentation challenges such as  issues with automating parts and intelligent control of crowdsourcing. Interpretation challenges include challenges  AI machines  have in understanding human input, such as knowledge and specific directives. Presentation challenges include issues related to delivering the AI system’s output and feedback mechanisms . Thus, developing human-aware AI systems remains the foremost opportunity for AI developers

“Software segment is expected to grow at the highest rate during the forecast period”

The worldwide AI In Medical Diagnostics Market is divided into software and services based on component. The services segment dominated the market in 2021, while the software segment is estimated to grow at a higher CAGR during the forecast period. Software solutions provide healthcare providers  a competitive edge over others, despite the challenges of being short-staffed and facing increasing imaging scan volumes.

“In Vivo Diagnostic segment accounted for the largest share of the global AI In Medical Diagnostics Market”

The AI In Medical Diagnostics Market is divided based on applications into in vivo and in vitro diagnostics. The in vivo diagnostics segment commanded the largest share of this market in 2021. The large share of this segment can be attributed to the growing adoption of AI solutions by medical and healthcare industry, as these solutions help reduce human errors and improve treatment efficacy.

“The Hospitals segment is expected to grow with the highest CAGR during the forecast period”

Based on end users, the AI In Medical Diagnostics Market is segmented into hospitals, diagnostic imaging centers, diagnostic laboratories, and other end users. The hospitals segment commanded the largest share of this market in 2021. The large share of this segment can be attributed to the rising number of diagnostic imaging treatments performed in hospitals or used as standard procedures, the rising  inclination of hospitals toward the automation and digitization of radiology patient workflow, increasing adoption of minimally invasive procedures in hospitals and healthcare facilities to improve the quality of patient care and focus on patient centric care , and the rising adoption of advanced imaging modalities to improve workflow .

North America accounted for the largest share of the global AI In Medical Diagnostics Market in 2021.

In 2021, North America accounted for the largest market share. However, the Asia Pacific market is projected to register the highest CAGR of 42.6% during the forecast period. The high growth rate of the Asia Pacific market can primarily be attributed to the growth strategies adopted by key players in  emerging markets, digitization of  medical diagnostics infrastructure, rising geriatric population, rise in  prevalence of cancer, and the implementation of favorable government initiatives.

Artificial Intelligence (Ai) in Medical Diagnostics Market by Region

To know about the assumptions considered for the study, download the pdf brochure

Some of the prominent players in this market are Microsoft (US), NVIDIA (US), IBM (US), Intel Corporation (US), Google, Inc.(Subsidiary of Alphabet, Inc) (US), Siemens Healthineers (Germany), GE Healthcare (US), Digital Diagnostics, Inc (US), Xilinx (US), InformAI LLC (US), HeartFlow, Inc (US), Enlitic, Inc (US), Day Zero Diagnostics, Inc(US), Aidence (Netherlands), Butterfly Network, Inc. (US), Prognos Health (US), Nanox AI (Israel), Viz.ai, Inc (US), Quibin (Spain), Qure.ai (India), Therapixel (France), Aidoc (Israel), Koninklijke Philips N.V. (Netherlands), Lunit. Inc (South Korea), EchoNous Inc. (US).

Get online access to the report on the World's First Market Intelligence Cloud

  • Easy to Download Historical Data & Forecast Numbers
  • Company Analysis Dashboard for high growth potential opportunities
  • Research Analyst Access for customization & queries
  • Competitor Analysis with Interactive dashboard
  • Latest News, Updates & Trend analysis
Request Sample
Click on image to enlarge

Scope of the Report

Report Metric

Details

Market size available for years

2020-2027

Base year considered

2021

Forecast period

2022–2027

Forecast units

Value (USD Billion)

Segments covered

Component, Application, End User, And Region

Geographies covered

North America (US, and Canada), Europe (Germany, France, UK, Italy and the RoE), Asia Pacific (Japan, China, India, and RoAPAC), RoW

Companies covered

Microsoft (US), NVIDIA (US), IBM (US), Intel Corporation (US), Google, Inc.(Subsidiary of Alphabet, Inc) (US), Siemens Healthineers (Germany), GE Healthcare (US), Digital Diagnostics, Inc (US), Xilinx (US), InformAI LLC (US), HeartFlow, Inc (US), Enlitic, Inc (US), Day Zero Diagnostics, Inc(US), Aidence (Netherlands), Butterfly Network, Inc. (US), Prognos Health (US), Nanox AI (Israel), Viz.ai, Inc (US), Quibin (Spain), Qure.ai (India), Therapixel (France), Aidoc (Israel), Koninklijke Philips N.V. (Netherlands), Lunit. Inc (South Korea), EchoNous Inc. (US)

The study categorizes the AI in medical diagnostics market into the following segments and subsegments:

By Component
  • Software
  • Services
By Application
  • In Vivo diagnostics
    • By Specialty
      • Radiology
      • Cardiology
      • Neurology
      • Obstetrics/gynecology
      • Ophthalmology
      • Other specialties
    • By Modality
      • Computed tomography
      • X-Ray
      • Magnetic resonance imaging
      • Ultrasound
      • Other modalities
  • In Vitro diagnostics
By End User
  • Hospitals
  • Diagnostics Imaging Centers
  • Diagnostics Laboratories
  • Other End User
By Region
  • North America
    • US
    • Canada
  • Europe
    • Germany
    • UK
    • France
    • Italy
    • Rest of Europe (RoE)
  • Asia Pacific
    • Japan
    • China
    • India
    • Rest of APAC (RoAPAC)
  • RoW

Recent Developments:

  • In 2021, Microsoft (US) partnered with Truveta (US) that will apply the power of Microsoft Azure and AI to help Truveta achieve its vision of saving lives with data.
  • In 2021, IBM (US) collaborated with Humana Inc. (US). Humana deploys IBM’s Watson Assistant for Health Benefits; this is an AI-enabled virtual agent built in the IBM Watson Health Cloud.
  • In 2020, Intel (US) partnered with the Maricopa County Community College District (MCCCD) (US) to launch the first Intel-designed AI associate degree program in the US. It enabled thousands of students to land healthcare, automotive, industrial, and aerospace careers.
  • As of December 2019, Google's DeepMind division (US) is working with the Moorfields Eye Hospital in the UK. This development aims to improve prior eye disease research and assist eye doctors in assessing the risk of a patient’s eye problem and directing them to medical care based on the urgency of the condition.

Frequently Asked Questions (FAQ):

To speak to our analyst for a discussion on the above findings, click Speak to Analyst

TABLE OF CONTENTS

1 INTRODUCTION (Page No. - 24)
    1.1 STUDY OBJECTIVES
    1.2 MARKET DEFINITION
    1.3 INCLUSIONS & EXCLUSIONS
           1.3.1 INCLUSIONS AND EXCLUSIONS
    1.4 MARKETS COVERED
          FIGURE 1 AI IN MEDICAL DIAGNOSTICS MARKET SEGMENTATION
           1.4.1 YEARS CONSIDERED
    1.5 CURRENCY CONSIDERED
    1.6 LIMITATIONS
           1.6.1 SCOPE-RELATED LIMITATIONS
           1.6.2 METHODOLOGY-RELATED LIMITATIONS
    1.7 STAKEHOLDERS
    1.8 SUMMARY OF CHANGES

2 RESEARCH METHODOLOGY (Page No. - 29)
    2.1 RESEARCH DATA
          FIGURE 2 RESEARCH DESIGN
           2.1.1 SECONDARY DATA
                    2.1.1.1 Key data from secondary sources
           2.1.2 PRIMARY DATA
                    FIGURE 3 PRIMARY SOURCES
                    2.1.2.1 Key industry insights
                                FIGURE 4 BREAKDOWN OF PRIMARY INTERVIEWS: BY COMPANY TYPE, DESIGNATION, AND REGION
    2.2 MARKET SIZE ESTIMATION
          FIGURE 5 RESEARCH METHODOLOGY: HYPOTHESIS BUILDING
          FIGURE 6 MARKET SIZE ESTIMATION
          TABLE 1 FACTOR ANALYSIS
          FIGURE 7 AI IN MEDICAL DIAGNOSTICS MARKET: CAGR PROJECTIONS FROM ANALYSIS OF DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES (2022–2027)
          FIGURE 8 CAGR PROJECTIONS: SUPPLY-SIDE ANALYSIS
          FIGURE 9 TOP-DOWN APPROACH
    2.3 MARKET DATA ESTIMATION AND TRIANGULATION
          FIGURE 10 DATA TRIANGULATION METHODOLOGY
    2.4 STUDY ASSUMPTIONS
    2.5 RISK ASSESSMENT
          TABLE 2 RISK ASSESSMENT: AI IN MEDICAL DIAGNOSTICS MARKET

3 EXECUTIVE SUMMARY (Page No. - 40)
    FIGURE 11 AI IN MEDICAL DIAGNOSTICS MARKET, BY COMPONENT, 2022 VS. 2027 (USD MILLION)
    FIGURE 12 AI IN MEDICAL DIAGNOSTICS MARKET, BY APPLICATION, 2022 VS. 2027 (USD MILLION)
    FIGURE 13 AI IN MEDICAL DIAGNOSTICS MARKET, BY END USER, 2022 VS. 2027 (USD MILLION)
    FIGURE 14 GEOGRAPHICAL SNAPSHOT OF AI IN MEDICAL DIAGNOSTICS MARKET

4 PREMIUM INSIGHTS (Page No. - 43)
    4.1 AI IN MEDICAL DIAGNOSTICS MARKET OVERVIEW
          FIGURE 15 RISING VOLUME OF DIAGNOSTIC IMAGING PROCEDURES AND INFLUX OF BIG DATA TO DRIVE MARKET
    4.2 NORTH AMERICA: AI IN MEDICAL DIAGNOSTICS MARKET, BY APPLICATION AND COUNTRY (2021)
          FIGURE 16 IN VIVO DIAGNOSTICS ACCOUNTED FOR LARGEST SHARE OF NORTH AMERICA IN 2021
    4.3 AI IN MEDICAL DIAGNOSTICS MARKET SHARE, BY APPLICATION, 2022 VS. 2027
          FIGURE 17 IN VIVO DIAGNOSTICS TO CONTINUE TO DOMINATE MARKET DURING FORECAST PERIOD
    4.4 AI IN MEDICAL DIAGNOSTICS MARKET: GEOGRAPHIC GROWTH OPPORTUNITIES
          FIGURE 18 ASIA PACIFIC REGION TO REGISTER HIGHEST GROWTH RATE DURING FORECAST PERIOD

5 MARKET OVERVIEW (Page No. - 46)
    5.1 INTRODUCTION
          FIGURE 19 AI IN MEDICAL DIAGNOSTICS MARKET: DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES
           5.1.1 DRIVERS
                    5.1.1.1 Influx of big data
                    5.1.1.2 Growing number of cross-industry partnerships & collaborations
                    5.1.1.3 Increasing demand for AI-based solutions to reduce work pressure on radiologists
                    5.1.1.4 Rising government initiatives to drive AI-based technologies
                    5.1.1.5 Availability of funding for AI-based startups
           5.1.2 RESTRAINTS
                    5.1.2.1 Reluctance among medical practitioners to adopt AI-based technologies
                    5.1.2.2 Inadequate AI workforce and ambiguous regulatory guidelines for medical software
           5.1.3 OPPORTUNITIES
                    5.1.3.1 Untapped emerging markets
                    5.1.3.2 Growing potential of AI in imaging diagnostics for COVID-19
                    5.1.3.3 Increasing focus on developing human-aware AI systems
           5.1.4 CHALLENGES
                    5.1.4.1 Budgetary constraints
                    5.1.4.2 Unstructured healthcare data
                    5.1.4.3 Data privacy concerns
                    5.1.4.4 Limited interoperability for AI solutions
    5.2 VALUE CHAIN ANALYSIS
          FIGURE 20 AI IN MEDICAL DIAGNOSTICS MARKET: VALUE CHAIN
    5.3 CASE STUDIES
           5.3.1 FOCUS ON IMPROVING WORKFLOW EFFICACY AND REDUCING BURDEN ON RADIOLOGISTS
                     TABLE 3 USE CASE 1: REDUCING BURDEN ON RADIOLOGISTS BY DEVELOPING AND TESTING AN AI MODEL TO READ LARGE ULTRASOUND DATA
           5.3.2 IMPROVED TRIAGE
                     TABLE 4 USE CASE 2: PRECISION DRIVEN HEALTH DEVELOPED ML-MODEL TO IMPROVE WORK TRIAGE OF CARDIOLOGISTS (2019)
    5.4 ECOSYSTEM COVERAGE
          FIGURE 21 AI IN MEDICAL DIAGNOSTICS: ECOSYSTEM
    5.5 TECHNOLOGY ANALYSIS
          TABLE 5 TECHNOLOGICAL DEVELOPMENTS BY LEADING VENDORS
    5.6 REGULATIONS
           5.6.1 HEALTH INSURANCE PORTABILITY AND ACCOUNTABILITY ACT OF 1996 (HIPAA)
           5.6.2 HEALTH INFORMATION TECHNOLOGY FOR ECONOMIC AND CLINICAL HEALTH ACT OF 2009 (HITECH)
           5.6.3 CONSUMER PRIVACY PROTECTION ACT OF 2017
           5.6.4 NATIONAL CYBERSECURITY PROTECTION ADVANCEMENT ACT OF 2015
           5.6.5 FUTURE OF LIFE INSTITUTE’S ASILOMAR AI PRINCIPLES
           5.6.6 THE EUROPEAN MEDICAL DEVICES REGULATION (EU) 2017/745 AND IN-VITRO DIAGNOSTIC MEDICAL DEVICES REGULATION (EU) 2017/746, IN COMBINATION WITH GENERAL DATA PROTECTION REGULATION 2016/679
           5.6.7 CYBERSECURITY LAW OF PEOPLE'S REPUBLIC OF CHINA
    5.7 PORTER’S FIVE FORCES ANALYSIS
          TABLE 6 AI IN MEDICAL DIAGNOSTICS MARKET: PORTER’S FIVE FORCES ANALYSIS
    5.8 INDUSTRY TRENDS
           5.8.1 ARTIFICIAL INTELLIGENCE IN HEALTHCARE
                    5.8.1.1 Key to AI in Healthcare: Data
                    5.8.1.2 AR and MR in Healthcare Settings
                    5.8.1.3 Healthcare Privacy and Security in 2022
    5.9 PRICING ANALYSIS
    5.10 KEY CONFERENCES AND EVENTS (2022−2023)
           TABLE 7 AI IN MEDICAL DIAGNOSTICS MARKET: DETAILED LIST OF CONFERENCES AND EVENTS
    5.11 KEY STAKEHOLDERS AND BUYING CRITERIA
           5.11.1 KEY STAKEHOLDERS IN BUYING PROCESS
                     FIGURE 22 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR END USERS
                     TABLE 8 INFLUENCE OF STAKEHOLDERS IN BUYING PROCESS FOR END USERS
           5.11.2 BUYING CRITERIA
                     FIGURE 23 KEY BUYING CRITERIA FOR END USERS
                     TABLE 9 KEY BUYING CRITERIA FOR END USERS

6 ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET, BY COMPONENT (Page No. - 62)
    6.1 INTRODUCTION
          TABLE 10 AI IN MEDICAL DIAGNOSTICS MARKET, BY COMPONENT, 2020–2027 (USD MILLION)
    6.2 SOFTWARE
           6.2.1 USE OF AI PLATFORMS IN SOFTWARE TO ENHANCE DECISION-MAKING AND SIMPLIFY WORKFLOWS
                    TABLE 11 AI IN MEDICAL DIAGNOSTICS SOFTWARE MARKET, BY REGION, 2020–2027 (USD MILLION)
    6.3 SERVICES
           6.3.1 RISING NEED FOR DEPLOYMENT & INTEGRATION OF AI SYSTEMS TO SUPPORT MARKET GROWTH
                    TABLE 12 AI IN MEDICAL DIAGNOSTICS SERVICES MARKET, BY REGION, 2020–2027 (USD MILLION)

7 ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET, BY APPLICATION (Page No. - 65)
    7.1 INTRODUCTION
          TABLE 13 AI IN MEDICAL DIAGNOSTICS MARKET, BY APPLICATION, 2020–2027 (USD MILLION)
    7.2 IN VIVO DIAGNOSTICS
          TABLE 14 AI IN MEDICAL DIAGNOSTICS MARKET FOR IN VIVO DIAGNOSTICS, BY REGION, 2020–2027 (USD MILLION)
           7.2.1 IN VIVO DIAGNOSTIC APPLICATIONS MARKET, BY SPECIALTY
                    TABLE 15 AI IN MEDICAL DIAGNOSTICS MARKET FOR IN VIVO DIAGNOSTICS, BY SPECIALTY, 2020–2027 (USD MILLION)
                    7.2.1.1 Radiology
                               7.2.1.1.1 AI-based diagnostic tools to reduce work pressure on radiologists
                                              TABLE 16 AI IN MEDICAL DIAGNOSTICS FOR IN VIVO RADIOLOGY, BY REGION, 2020–2027 (USD MILLION)
                    7.2.1.2 Cardiology
                               7.2.1.2.1 Rising complexities associated with CVD to drive market
                                              TABLE 17 AI IN MEDICAL DIAGNOSTICS MARKET FOR IN VIVO CARDIOLOGY, BY REGION, 2020–2027 (USD MILLION)
                    7.2.1.3 Neurology
                               7.2.1.3.1 Increasing prevalence of critical brain disorders to drive market
                                              TABLE 18 AI IN MEDICAL DIAGNOSTICS MARKET FOR IN VIVO NEUROLOGY, BY REGION, 2020–2027 (USD MILLION)
                    7.2.1.4 Obstetrics/Gynecology
                               7.2.1.4.1 Rising use of minimally invasive techniques in gynecology procedures to drive market
                                              TABLE 19 AI IN MEDICAL DIAGNOSTICS MARKET FOR IN VIVO OBSTETRICS/GYNECOLOGY, BY REGION, 2020–2027 (USD MILLION)
                    7.2.1.5 Ophthalmology
                               7.2.1.5.1 Rising need for early detection & prevention of eye diseases to drive market
                                              TABLE 20 AI IN MEDICAL DIAGNOSTICS MARKET FOR IN VIVO OPHTHALMOLOGY, BY REGION, 2020–2027 (USD MILLION)
                    7.2.1.6 Other specialties
                                TABLE 21 AI IN MEDICAL DIAGNOSTICS MARKET FOR OTHER SPECIALTIES, BY REGION, 2020–2027 (USD MILLION)
           7.2.2 IN VIVO DIAGNOSTIC APPLICATIONS MARKET, BY MODALITY
                    TABLE 22 AI IN MEDICAL DIAGNOSTICS MARKET FOR IN VIVO DIAGNOSTICS, BY MODALITY, 2020–2027 (USD MILLION)
                    7.2.2.1 Computed tomography
                               7.2.2.1.1 Rising availability of cardiac CT devices enabled with AI solutions to drive market
                                              TABLE 23 AI IN MEDICAL DIAGNOSTICS MARKET FOR COMPUTED TOMOGRAPHY, BY REGION, 2020–2027 (USD MILLION)
                    7.2.2.2 X-ray
                               7.2.2.2.1 Innovative AI solutions for x-ray imaging by key players to drive market
                                              TABLE 24 AI IN MEDICAL DIAGNOSTICS MARKET FOR X-RAY, BY REGION, 2020–2027 (USD MILLION)
                    7.2.2.3 Magnetic resonance imaging (MRI)
                               7.2.2.3.1 Rising technological advancements to drive adoption of AI in MRI
                                              TABLE 25 AI IN MEDICAL DIAGNOSTICS MARKET FOR MAGNETIC RESONANCE IMAGING, BY REGION, 2020–2027 (USD MILLION)
                    7.2.2.4 Ultrasound
                               7.2.2.4.1 Increasing prevalence of ovarian cancer to drive market demand
                                              TABLE 26 AI IN MEDICAL DIAGNOSTICS MARKET FOR ULTRASOUND, BY REGION, 2020–2027 (USD MILLION)
                    7.2.2.5 Other modalities
                                              TABLE 27 AI IN MEDICAL DIAGNOSTICS MARKET FOR OTHER MODALITIES, BY REGION, 2020–2027 (USD MILLION)
    7.3 IN VITRO DIAGNOSTICS
           7.3.1 INCREASING ADOPTION OF POINT-OF-CARE TESTING IN EMERGING ECONOMIES TO SUPPORT MARKET GROWTH
                    TABLE 28 AI IN MEDICAL DIAGNOSTICS FOR IN VITRO DIAGNOSTICS, BY REGION, 2020–2027 (USD MILLION)

8 ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET, BY END USER (Page No. - 77)
    8.1 INTRODUCTION
          TABLE 29 AI IN MEDICAL DIAGNOSTICS MARKET, BY END USER, 2020–2027 (USD MILLION)
    8.2 HOSPITALS
           8.2.1 INSTALLATION OF ADVANCED AI DIAGNOSTIC IMAGING SOLUTIONS TO DRIVE MARKET
                    TABLE 30 AI IN MEDICAL DIAGNOSTICS MARKET FOR HOSPITALS, BY REGION, 2020–2027 (USD MILLION)
    8.3 DIAGNOSTIC IMAGING CENTERS
           8.3.1 GROWING NUMBER OF PRIVATE IMAGING CENTERS TO DRIVE MARKET
                    TABLE 31 AI IN MEDICAL DIAGNOSTICS MARKET FOR DIAGNOSTIC IMAGING CENTERS, BY REGION, 2020–2027 (USD MILLION)
    8.4 DIAGNOSTIC LABORATORIES
           8.4.1 RISING SPECIMEN TEST VOLUME TO DRIVE MARKET
                    TABLE 32 AI IN MEDICAL DIAGNOSTICS MARKET FOR DIAGNOSTIC LABORATORIES, BY REGION, 2020–2027 (USD MILLION)
    8.5 OTHER END USERS
          TABLE 33 AI IN MEDICAL DIAGNOSTICS MARKET FOR OTHER END USERS, BY REGION, 2020–2027 (USD MILLION)

9 ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET, BY REGION (Page No. - 81)
    9.1 INTRODUCTION
          TABLE 34 AI IN MEDICAL DIAGNOSTICS MARKET, BY REGION, 2020–2027 (USD MILLION)
    9.2 NORTH AMERICA
          FIGURE 24 NORTH AMERICA: AI IN MEDICAL DIAGNOSTICS MARKET SNAPSHOT
          TABLE 35 NORTH AMERICA: AI IN MEDICAL DIAGNOSTICS MARKET, BY COUNTRY, 2020–2027 (USD MILLION)
          TABLE 36 NORTH AMERICA: AI IN MEDICAL DIAGNOSTICS MARKET, BY APPLICATION, 2020–2027 (USD MILLION)
          TABLE 37 NORTH AMERICA: AI IN MEDICAL DIAGNOSTICS MARKET FOR IN VIVO DIAGNOSTICS, BY SPECIALTY, 2020–2027 (USD MILLION)
          TABLE 38 NORTH AMERICA: AI IN MEDICAL DIAGNOSTICS MARKET FOR IN VIVO DIAGNOSTICS, BY MODALITY, 2020–2027 (USD MILLION)
          TABLE 39 NORTH AMERICA: AI IN MEDICAL DIAGNOSTICS MARKET, BY COMPONENT, 2020–2027 (USD MILLION)
          TABLE 40 NORTH AMERICA: AI IN MEDICAL DIAGNOSTICS MARKET, BY END USER, 2020–2027 (USD MILLION)
           9.2.1 US
                    9.2.1.1 Increasing volume of imaging procedures to drive market growth
                                TABLE 41 US: AI IN MEDICAL DIAGNOSTICS MARKET, BY APPLICATION, 2020–2027 (USD MILLION)
                                TABLE 42 US: AI IN MEDICAL DIAGNOSTICS MARKET FOR IN VIVO DIAGNOSTICS, BY SPECIALTY, 2020–2027 (USD MILLION)
                                TABLE 43 US: AI IN MEDICAL DIAGNOSTICS MARKET FOR IN VIVO DIAGNOSTICS, BY MODALITY, 2020–2027 (USD MILLION)
                                TABLE 44 US: AI IN MEDICAL DIAGNOSTICS MARKET, BY COMPONENT, 2020–2027 (USD MILLION)
                                TABLE 45 US: AI IN MEDICAL DIAGNOSTICS MARKET, BY END USER, 2020–2027 (USD MILLION)
           9.2.2 CANADA
                    9.2.2.1 Research grants and improved academics in radiology to drive market growth
                                TABLE 46 CANADA: AI IN MEDICAL DIAGNOSTICS MARKET, BY APPLICATION, 2020–2027 (USD MILLION)
                                TABLE 47 CANADA: AI IN MEDICAL DIAGNOSTICS MARKET FOR IN VIVO DIAGNOSTICS, BY SPECIALTY, 2020–2027 (USD MILLION)
                                TABLE 48 CANADA: AI IN MEDICAL DIAGNOSTICS MARKET FOR IN VIVO DIAGNOSTICS, BY MODALITY, 2020–2027 (USD MILLION)
                                TABLE 49 CANADA: AI IN MEDICAL DIAGNOSTICS MARKET, BY COMPONENT, 2020–2027 (USD MILLION)
                                TABLE 50 CANADA: AI IN MEDICAL DIAGNOSTICS MARKET, BY END USER, 2020–2027 (USD MILLION)
    9.3 EUROPE
          TABLE 51 EUROPE: AI IN MEDICAL DIAGNOSTICS MARKET, BY COUNTRY, 2020–2027 (USD MILLION)
          TABLE 52 EUROPE: AI IN MEDICAL DIAGNOSTICS MARKET, BY APPLICATION, 2020–2027 (USD MILLION)
          TABLE 53 EUROPE: AI IN MEDICAL DIAGNOSTICS MARKET FOR IN VIVO DIAGNOSTICS, BY SPECIALTY, 2020–2027 (USD MILLION)
          TABLE 54 EUROPE: AI IN MEDICAL DIAGNOSTICS MARKET FOR IN VIVO DIAGNOSTICS, BY MODALITY, 2020–2027 (USD MILLION)
          TABLE 55 EUROPE: AI IN MEDICAL DIAGNOSTICS MARKET, BY COMPONENT, 2020–2027 (USD MILLION)
          TABLE 56 EUROPE: AI IN MEDICAL DIAGNOSTICS MARKET, BY END USER, 2020–2027 (USD MILLION)
           9.3.1 GERMANY
                    9.3.1.1 Rising government support to drive adoption of AI in medical diagnostics
                                TABLE 57 GERMANY: AI IN MEDICAL DIAGNOSTICS MARKET, BY APPLICATION, 2020–2027 (USD MILLION)
                                TABLE 58 GERMANY: AI IN MEDICAL DIAGNOSTICS MARKET FOR IN VIVO DIAGNOSTICS, BY SPECIALTY, 2020–2027 (USD MILLION)
                                TABLE 59 GERMANY: AI IN MEDICAL DIAGNOSTICS MARKET FOR IN VIVO DIAGNOSTICS, BY MODALITY, 2020–2027 (USD MILLION)
                                TABLE 60 GERMANY: AI IN MEDICAL DIAGNOSTICS MARKET, BY COMPONENT, 2020–2027 (USD MILLION)
                                TABLE 61 GERMANY: AI IN MEDICAL DIAGNOSTICS MARKET, BY END USER, 2020–2027 (USD MILLION)
           9.3.2 UK
                    9.3.2.1 Increasing number of radiography procedures to drive market growth
                                TABLE 62 UK: AI IN MEDICAL DIAGNOSTICS MARKET, BY APPLICATION, 2020–2027 (USD MILLION)
                                TABLE 63 UK: AI IN MEDICAL DIAGNOSTICS MARKET FOR IN VIVO DIAGNOSTICS, BY SPECIALTY, 2020–2027 (USD MILLION)
                                TABLE 64 UK: AI IN MEDICAL DIAGNOSTICS MARKET FOR IN VIVO DIAGNOSTICS, BY MODALITY, 2020–2027 (USD MILLION)
                                TABLE 65 UK: AI IN MEDICAL DIAGNOSTICS MARKET, BY COMPONENT, 2020–2027 (USD MILLION)
                                TABLE 66 UK: AI IN MEDICAL DIAGNOSTICS MARKET, BY END USER, 2020–2027 (USD MILLION)
           9.3.3 FRANCE
                    9.3.3.1 Availability of funding for companies to enhance AI research in medical imaging
                                TABLE 67 FRANCE: AI IN MEDICAL DIAGNOSTICS MARKET, BY APPLICATION, 2020–2027 (USD MILLION)
                                TABLE 68 FRANCE: AI IN MEDICAL DIAGNOSTICS MARKET FOR IN VIVO DIAGNOSTICS, BY SPECIALTY, 2020–2027 (USD MILLION)
                                TABLE 69 FRANCE: AI IN MEDICAL DIAGNOSTICS MARKET FOR IN VIVO DIAGNOSTICS, BY MODALITY, 2020–2027 (USD MILLION)
                                TABLE 70 FRANCE: AI IN MEDICAL DIAGNOSTICS MARKET, BY COMPONENT, 2020–2027 (USD MILLION)
                                TABLE 71 FRANCE: AI IN MEDICAL DIAGNOSTICS MARKET, BY END USER, 2020–2027 (USD MILLION)
           9.3.4 ITALY
                    9.3.4.1 Increasing volume of EHRs and EMRs due to rising geriatric population to drive demand for AI solutions
                                TABLE 72 ITALY: AI IN MEDICAL DIAGNOSTICS MARKET, BY APPLICATION, 2020–2027 (USD MILLION)
                                TABLE 73 ITALY: AI IN MEDICAL DIAGNOSTICS MARKET FOR IN VIVO DIAGNOSTICS, BY SPECIALTY, 2020–2027 (USD MILLION)
                                TABLE 74 ITALY: AI IN MEDICAL DIAGNOSTICS MARKET FOR IN VIVO DIAGNOSTICS, BY MODALITY, 2020–2027 (USD MILLION)
                                TABLE 75 ITALY: AI IN MEDICAL DIAGNOSTICS MARKET, BY COMPONENT, 2020–2027 (USD MILLION)
                                TABLE 76 ITALY: AI IN MEDICAL DIAGNOSTICS MARKET, BY END USER, 2020–2027 (USD MILLION)
           9.3.5 REST OF EUROPE
                    TABLE 77 REST OF EUROPE: AI IN MEDICAL DIAGNOSTICS MARKET, BY APPLICATION, 2020–2027 (USD MILLION)
                    TABLE 78 REST OF EUROPE: AI IN MEDICAL DIAGNOSTICS MARKET FOR IN VIVO DIAGNOSTICS, BY SPECIALTY, 2020–2027 (USD MILLION)
                    TABLE 79 REST OF EUROPE: AI IN MEDICAL DIAGNOSTICS MARKET FOR IN VIVO DIAGNOSTICS, BY MODALITY, 2020–2027 (USD MILLION)
                    TABLE 80 REST OF EUROPE: AI IN MEDICAL DIAGNOSTICS MARKET, BY COMPONENT, 2020–2027 (USD MILLION)
                    TABLE 81 REST OF EUROPE: AI IN MEDICAL DIAGNOSTICS MARKET, BY END USER, 2020–2027 (USD MILLION)
    9.4 ASIA PACIFIC
          FIGURE 25 ASIA PACIFIC: AI IN MEDICAL DIAGNOSTICS MARKET SNAPSHOT
          TABLE 82 ASIA PACIFIC: AI IN MEDICAL DIAGNOSTICS MARKET, BY COUNTRY, 2020–2027 (USD MILLION)
          TABLE 83 ASIA PACIFIC: AI IN MEDICAL DIAGNOSTICS MARKET, BY APPLICATION, 2020–2027 (USD MILLION)
          TABLE 84 ASIA PACIFIC: AI IN MEDICAL DIAGNOSTICS MARKET FOR IN VIVO DIAGNOSTICS, BY SPECIALTY, 2020–2027 (USD MILLION)
          TABLE 85 ASIA PACIFIC: AI IN MEDICAL DIAGNOSTICS MARKET FOR IN VIVO DIAGNOSTICS, BY MODALITY, 2020–2027 (USD MILLION)
          TABLE 86 ASIA PACIFIC: AI IN MEDICAL DIAGNOSTICS MARKET, BY COMPONENT, 2020–2027 (USD MILLION)
          TABLE 87 ASIA PACIFIC: AI IN MEDICAL DIAGNOSTICS MARKET, BY END USER, 2020–2027 (USD MILLION)
           9.4.1 CHINA
                    9.4.1.1 Rising use of AI in clinical decision-making to drive market
                                             TABLE 88 CHINA: AI IN MEDICAL DIAGNOSTICS MARKET, BY APPLICATION, 2020–2027 (USD MILLION)
                                TABLE 89 CHINA: AI IN MEDICAL DIAGNOSTICS MARKET FOR IN VIVO DIAGNOSTICS, BY SPECIALTY, 2020–2027 (USD MILLION)
                                TABLE 90 CHINA: AI IN MEDICAL DIAGNOSTICS MARKET FOR IN VIVO DIAGNOSTICS, BY MODALITY, 2020–2027 (USD MILLION)
                                TABLE 91 CHINA: AI IN MEDICAL DIAGNOSTICS MARKET, BY COMPONENT, 2020–2027 (USD MILLION)
                                TABLE 92 CHINA: AI IN MEDICAL DIAGNOSTICS MARKET, BY END USER, 2020–2027 (USD MILLION)
           9.4.2 JAPAN
                    9.4.2.1 Presence of strong healthcare infrastructure to drive uptake of advanced AI solutions
                                TABLE 93 JAPAN: AI IN MEDICAL DIAGNOSTICS MARKET, BY APPLICATION, 2020–2027 (USD MILLION)
                                TABLE 94 JAPAN: AI IN MEDICAL DIAGNOSTICS MARKET FOR IN VIVO DIAGNOSTICS, BY SPECIALTY, 2020–2027 (USD MILLION)
                                TABLE 95 JAPAN: AI IN MEDICAL DIAGNOSTICS MARKET FOR IN VIVO DIAGNOSTICS, BY MODALITY, 2020–2027 (USD MILLION)
                                TABLE 96 JAPAN: AI IN MEDICAL DIAGNOSTICS MARKET, BY COMPONENT, 2020–2027 (USD MILLION)
                                TABLE 97 JAPAN: AI IN MEDICAL DIAGNOSTICS MARKET, BY END USER, 2020–2027 (USD MILLION)
           9.4.3 INDIA
                    9.4.3.1 Favorable government initiatives for R&D investments to drive market for AI
                                TABLE 98 INDIA: AI IN MEDICAL DIAGNOSTICS MARKET, BY APPLICATION, 2020–2027 (USD MILLION)
                                TABLE 99 INDIA: AI IN MEDICAL DIAGNOSTICS MARKET FOR IN VIVO DIAGNOSTICS, BY SPECIALTY, 2020–2027 (USD MILLION)
                                TABLE 100 INDIA: AI IN MEDICAL DIAGNOSTICS MARKET FOR IN VIVO DIAGNOSTICS, BY MODALITY, 2020–2027 (USD MILLION)
                                TABLE 101 INDIA: AI IN MEDICAL DIAGNOSTICS MARKET, BY COMPONENT, 2020–2027 (USD MILLION)
                                TABLE 102 INDIA: AI IN MEDICAL DIAGNOSTICS MARKET, BY END USER, 2020–2027 (USD MILLION)
           9.4.4 REST OF ASIA PACIFIC
                    TABLE 103 REST OF ASIA PACIFIC: AI IN MEDICAL DIAGNOSTICS MARKET, BY APPLICATION, 2020–2027 (USD MILLION)
                    TABLE 104 REST OF ASIA PACIFIC: AI IN MEDICAL DIAGNOSTICS MARKET FOR IN VIVO DIAGNOSTICS, BY SPECIALTY, 2020–2027 (USD MILLION)
                    TABLE 105 REST OF ASIA PACIFIC: AI IN MEDICAL DIAGNOSTICS MARKET FOR IN VIVO DIAGNOSTICS, BY MODALITY, 2020–2027 (USD MILLION)
                    TABLE 106 REST OF ASIA PACIFIC: AI IN MEDICAL DIAGNOSTICS MARKET, BY COMPONENT, 2020–2027 (USD MILLION)
                    TABLE 107 REST OF ASIA PACIFIC: AI IN MEDICAL DIAGNOSTICS MARKET, BY END USER, 2020–2027 (USD MILLION)
    9.5 REST OF THE WORLD
           9.5.1 RISING INITIATIVES TO STABILIZE HEALTHCARE SYSTEMS TO DRIVE UPTAKE OF AI-BASED TOOLS
                    TABLE 108 REST OF THE WORLD: AI IN MEDICAL DIAGNOSTICS MARKET, BY APPLICATION, 2020–2027 (USD MILLION)
                    TABLE 109 REST OF THE WORLD: AI IN MEDICAL DIAGNOSTICS MARKET FOR IN VIVO DIAGNOSTICS, BY SPECIALTY, 2020–2027 (USD MILLION)
                    TABLE 110 REST OF THE WORLD: AI IN MEDICAL DIAGNOSTICS MARKET FOR IN VIVO DIAGNOSTICS, BY MODALITY, 2020–2027 (USD MILLION)
                    TABLE 111 REST OF THE WORLD: AI IN MEDICAL DIAGNOSTICS MARKET, BY COMPONENT, 2020–2027 (USD MILLION)
                    TABLE 112 REST OF THE WORLD: AI IN MEDICAL DIAGNOSTICS MARKET, BY END USER, 2020–2027 (USD MILLION)

10 COMPETITIVE LANDSCAPE (Page No. - 118)
     10.1 OVERVIEW
     10.2 STRATEGIES ADOPTED BY KEY PLAYERS/RIGHT TO WIN
             TABLE 113 OVERVIEW OF STRATEGIES ADOPTED BY PLAYERS
     10.3 REVENUE SHARE ANALYSIS OF TOP MARKET PLAYERS
             FIGURE 26 REVENUE ANALYSIS OF KEY PLAYERS
     10.4 RANKING OF PLAYERS, 2021
             FIGURE 27 AI IN MEDICAL DIAGNOSTICS MARKET: RANKING OF KEY COMPANIES (2021)
     10.5 COMPETITIVE LEADERSHIP MAPPING
             10.5.1 STARS
             10.5.2 EMERGING LEADERS
             10.5.3 PERVASIVE PLAYERS
             10.5.4 PARTICIPANTS
                        FIGURE 28 AI IN MEDICAL DIAGNOSTICS MARKET: COMPETITIVE LEADERSHIP MAPPING (2021)
     10.6 COMPETITIVE LEADERSHIP MAPPING (STARTUPS)
             10.6.1 PROGRESSIVE COMPANIES
             10.6.2 DYNAMIC COMPANIES
             10.6.3 RESPONSIVE COMPANIES
             10.6.4 STARTING BLOCKS
                        FIGURE 29 AI IN MEDICAL DIAGNOSTICS MARKET: COMPETITIVE LEADERSHIP MAPPING FOR STARTUPS (2021)
     10.7 COMPETITIVE BENCHMARKING
             TABLE 114 AI IN MEDICAL DIAGNOSTICS MARKET: COMPETITIVE BENCHMARKING OF KEY PLAYERS
             TABLE 115 AI IN MEDICAL DIAGNOSTICS MARKET: APPLICATION FOOTPRINT OF KEY PLAYERS
             TABLE 116 AI IN MEDICAL DIAGNOSTICS MARKET: REGIONAL FOOTPRINT OF KEY PLAYERS
     10.8 COMPETITIVE SCENARIO
             TABLE 117 AI IN MEDICAL DIAGNOSTICS MARKET: PRODUCT LAUNCHES, 2019–2022
             TABLE 118 KEY DEALS, JANUARY 2019–JULY 2022

11 COMPANY PROFILES (Page No. - 134)
     11.1 KEY PLAYERS
(Business Overview, Products/Services/Solutions Offered, MnM View, Key Strengths and Right to Win, Strategic Choices Made, Weaknesses and Competitive Threats, Recent Developments)*
             11.1.1 MICROSOFT
                        TABLE 119 MICROSOFT: BUSINESS OVERVIEW
                        FIGURE 30 MICROSOFT: COMPANY SNAPSHOT (2021)
             11.1.2 NVIDIA
                        TABLE 120 NVIDIA: BUSINESS OVERVIEW
                        FIGURE 31 NVIDIA: COMPANY SNAPSHOT
             11.1.3 IBM
                        TABLE 121 IBM: BUSINESS OVERVIEW
                        FIGURE 32 IBM: COMPANY SNAPSHOT
             11.1.4 INTEL CORPORATION
                        TABLE 122 INTEL: BUSINESS OVERVIEW
                        FIGURE 33 INTEL: COMPANY SNAPSHOT
             11.1.5 GOOGLE (SUBSIDIARY OF ALPHABET, INC.)
                        TABLE 123 GOOGLE: BUSINESS OVERVIEW
                        FIGURE 34 GOOGLE: COMPANY SNAPSHOT
             11.1.6 SIEMENS HEALTHINEERS
                        TABLE 124 SIEMENS HEALTHINEERS: BUSINESS OVERVIEW
                        FIGURE 35 SIEMENS HEALTHINEERS: COMPANY SNAPSHOT
             11.1.7 GE HEALTHCARE
                        TABLE 125 GE HEALTHCARE: BUSINESS OVERVIEW
                        FIGURE 36 GE HEALTHCARE: COMPANY SNAPSHOT
             11.1.8 DIGITAL DIAGNOSTICS, INC (FORMERLY KNOWN AS IDX)
                        TABLE 126 DIGITAL DIAGNOSTICS: BUSINESS OVERVIEW
             11.1.9 XILINX
                        TABLE 127 XILINX: BUSINESS OVERVIEW
                        FIGURE 37 XILINX: COMPANY SNAPSHOT
             11.1.10 INFORMAI LLC
                        TABLE 128 INFORMAI: BUSINESS OVERVIEW
*Business Overview, Products/Services/Solutions Offered, MnM View, Key Strengths and Right to Win, Strategic Choices Made, Weaknesses and Competitive Threats, Recent Developments might not be captured in case of unlisted companies.
     11.2 OTHER PLAYERS
             11.2.1 HEARTFLOW, INC
             11.2.2 ENLITIC, INC
             11.2.3 DAY ZERO DIAGNOSTICS, INC
             11.2.4 AIDENCE
             11.2.5 BUTTERFLY NETWORK, INC.
             11.2.6 PROGNOS HEALTH
             11.2.7 NANOX AI
             11.2.8 VIZ.AI, INC
             11.2.9 QUIBIM
             11.2.10 QURE.AI
             11.2.11 THERAPIXEL
             11.2.12 AIDOC
             11.2.13 KONINKLIJKE PHILIPS N.V.
             11.2.14 LUNIT. INC
             11.2.15 ECHONOUS INC.

12 APPENDIX (Page No. - 172)
     12.1 DISCUSSION GUIDE
     12.2 KNOWLEDGESTORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL
     12.3 CUSTOMIZATION OPTIONS
     12.4 RELATED REPORTS
     12.5 AUTHOR DETAILS

This research study involved the extensive use of secondary sources, directories, and databases to identify and collect information useful for this technical, market-oriented, and financial study of the AI in medical diagnostics market. In-depth interviews were conducted with various primary respondents, including key industry participants, subject-matter experts (SMEs), C-level executives of key market players, and industry consultants, among other experts, to obtain and verify critical qualitative and quantitative information and to assess market prospects. The size of the AI in medical diagnostics market was estimated through various secondary research approaches and triangulated with inputs from primary research to arrive at the final market size.

Secondary Research

The secondary sources referred to for this research study include publications from government sources, directories, and databases (Dun & Bradstreet, Bloomberg Businessweek, and Factiva, among others) to identify and collect information useful for the technical, market-oriented, and commercial study of AI in the medical diagnostics market. Secondary data was collected and analyzed to arrive at the overall size of the global AI in medical diagnostics market, which was validated through primary research.

Primary Research

Extensive primary research was conducted after acquiring basic knowledge about the global of AI in the medical diagnostics market scenario through secondary research. Several primary interviews were conducted with market experts from both the demand side (such as Hospitals, Clinics and Other Healthcare Facilities, Diagnostic laboratories and Diagnostics Imaging Center, Other End Users- Employer Groups and Government Bodies) and supply-side (such as C-level and D-level executives, product managers, marketing and sales managers of key manufacturers, distributors, and channel partners, among others) across five major regions—North America, Europe, the Asia Pacific, and Rest of the world. Approximately 70% and 30% of primary interviews were conducted with supply-side and demand-side participants, respectively. This primary data was collected through questionnaires, e-mails, online surveys, personal interviews, and telephonic interviews.

Artificial Intelligence (Ai) in Medical Diagnostics Market Size, and Share

Note 1: C-level primaries include CEOs, CFOs, and COOs.

Note 2: Others include sales managers, marketing managers, business development managers, product managers, distributors, and suppliers.

Note 3: Companies are classified into tiers based on their total revenues. As of 2021, Tier 1 = >USD 2 billion, Tier 2 = USD 50 million to USD 2 billion, and Tier 3 =

To know about the assumptions considered for the study, download the pdf brochure

Both top-down and bottom-up approaches were used to estimate and validate the size of the AI in medical diagnostics market and various other dependent submarkets. The research methodology used to estimate the market size includes the following details:

  • Revenues of individual companies were gathered from public sources and databases
  • The shares of the AI in medical diagnostics market players were gathered from secondary sources to the extent available. In certain cases, the shares of the businesses were ascertained after a detailed analysis of various parameters, including product portfolios, market positioning, selling prices, and geographic reach and strength
  • Individual shares or revenue estimates were validated through expert interviews
  • All percentage shares, splits, and breakdowns for the global AI in medical diagnostics market were determined by using secondary sources and verified through primary sources
  • All key macro indicators affecting the revenue growth of market segments and subsegments have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get validated and verified quantitative and qualitative data
  • The gathered market data was consolidated and added with detailed inputs and analysis and presented in this report

Data Triangulation

After arriving at the overall market size, from the market size estimation process explained above, the AI in medical diagnostics market was split into segments and subsegments. To complete the overall market engineering process and to arrive at the exact statistics for all segments and subsegments, the data triangulation and market breakdown procedures were employed, wherever applicable. The data was triangulated by studying various factors and trends from both the demand and supply sides in the AI in medical diagnostics market.

Report Objectives

  • To define, describe, and forecast artificial intelligence in the medical diagnostics market based on component, application, end user, and region.
  • To provide detailed information regarding the major factors influencing the market growth (such as drivers, restraints, opportunities, and challenges).
  • To strategically analyze micromarkets concerning individual growth trends, prospects, and contributions to the overall market .
  • To analyze the opportunities in the market for stakeholders and provide details of the competitive landscape for market leaders.
  • To forecast the size of the market segments concerning four main regions—North America, Europe, the Asia Pacific, and the Rest of the World (RoW).
  • To profile the key players and comprehensively analyze their market shares and core competencies.
  • To track and analyze competitive developments such as acquisitions, product launches, expansions, agreements, collaborations, and approvals in AI medical diagnostics market.

Available Customizations:

With the given market data, MarketsandMarkets offers customizations as per the company’s specific needs. The following customization options are available for the report:

Company information

  • Detailed analysis and profiling of additional market players (up to 20)
Report Code
HIT 7875
Published ON
Oct, 2022
REQUEST FREE SAMPLE REPORT
Choose License Type
BUY NOW
Inquire Before Buying
ADJACENT MARKETS
REQUEST BUNDLE REPORTS
  • SHARE
X
Request Customization
Speak to Analyst
Speak to Analyst
OR FACE-TO-FACE MEETING
PERSONALIZE THIS RESEARCH
  • Triangulate with your Own Data
  • Get Data as per your Format and Definition
  • Gain a Deeper Dive on a Specific Application, Geography, Customer or Competitor
  • Any level of Personalization
REQUEST A FREE CUSTOMIZATION
LET US HELP YOU!
  • What are the Known and Unknown Adjacencies Impacting the Artificial Intelligence (AI) in Medical Diagnostics Market
  • What will your New Revenue Sources be?
  • Who will be your Top Customer; what will make them switch?
  • Defend your Market Share or Win Competitors
  • Get a Scorecard for Target Partners
CUSTOMIZED WORKSHOP REQUEST
+1-888-600-6441
  • Call Us
  • +1-888-600-6441 (Corporate office hours)
  • +1-888-600-6441 (US/Can toll free)
  • +44-800-368-9399 (UK office hours)
CONNECT WITH US
ABOUT TRUST ONLINE
©2022 MarketsandMarkets Research Private Ltd. All rights reserved
DMCA.com Protection Status Website Feedback