Artificial Intelligence in Diagnostics Market - Growth, Trends, COVID-19 Impact, and Forecasts (2022 - 2027)

The Artificial Intelligence in Diagnostics Market is segmented By Type (In Vitro Diagnostics, Diagnostic Imaging, and Other Types), Application (Cardiology, Oncology, Neurology, Obstetrics/ Gynecology, and Other Applications), End-User (Hospitals, Diagnostic Imaging Centers, Diagnostic Laboratories, and Other End-Users), and Geography (North America, Europe, Asia-Pacific, Middle East & Africa, and South America). The report offers the value (in USD million) for the above segments.

Market Snapshot

artificial intelligence in diagnostics market
Study Period: 2019-2027
Base Year: 2021
Fastest Growing Market: Asia-Pacific
Largest Market: North America
CAGR: 26.1 %

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Market Overview

Artificial intelligence in the diagnostics market is expected to grow at a CAGR of 26.1% over the forecast period, 2022-2027.

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.

Additionally, AI tools were employed to handle the pandemic's depth and complexity, from diagnosis to drug development, disease transmission prediction, and population monitoring and surveillance. A study titled "The Role of Artificial Intelligence in Fighting the COVID-19 Pandemic," published in the Journal of "Nature Public Health Emergency Collection" in April 2021, proposed a temporal step method, which includes presenting recent research investigations, examining how AI observes and acts on society and the healthcare system, and reporting various data types. Hence, the deployment of AI tools in diagnosing patients with SARS-CoV-2 played a substantial role throughout the pandemic phase, thereby augmenting the market growth.

Furthermore, factors such as increasing demand for AI tools in the medical imaging field and rising focus on reducing the workload of radiologists, government initiatives to increase the adoption of AI-based technologies, and growth in funding for AI-based start-ups are anticipated to bolster the growth of the market shortly.

Incorporating artificial intelligence into imaging devices may 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 artificial intelligence algorithm was associated with improved detection of pulmonary nodules on chest radiographs compared with unaided interpretation for different levels of detection difficulty and readers with different experience. The research articles stated that artificial intelligence could be a promising technology for medical imaging shortly.

Moreover, factors such as increasing funding for AI start-ups globally are increasing the demand for increasing incorporation of AI in the diagnostic imaging modalities. For instance, in March 2022, (Qure), a health-tech business raising USD 40 million in fundraising, employs artificial intelligence (AI) for medical imaging diagnostics. The company further declared that it would utilize the funding to broaden and improve its global presence, particularly in the United States and Europe, and accelerate the development of products for critical care and community diagnostics. Therefore, such fundraising is anticipated to contribute to market growth.

Thus, owing to the aforementioned factors, the market studied is anticipated to grow over the analysis period. However, the lack of a skilled AI workforce and ambiguous regulatory guidelines for medical software is expected to restrain the market's growth.

Scope of the Report

Artificial intelligence (AI) in medicine uses algorithms and software to approximate human cognition in analyzing complex medical data. Specifically, AI in diagnostics assists healthcare providers in making appropriate treatment decisions for their patients. Artificial Intelligence in Diagnostics Market is segmented By Type (In Vitro Diagnostics, Diagnostic Imaging, and Other Types), Application (Cardiology, Oncology, Neurology, Obstetrics/ Gynecology, and Other Applications), End-User (Hospitals, Diagnostic Imaging Centers, Diagnostic Laboratories, and Other End-Users), and Geography (North America, Europe, Asia-Pacific, Middle East & Africa, and South America). The report also covers the estimated market sizes and trends for 17 countries across major regions globally. The report offers the market size and forecasts in value (USD million) for the above segments.

By Type
In Vitro Diagnostics
Diagnostic Imaging
Other Types
By Application
Obstetrics/ Gynecology
Other Applications
By End-User
Diagnostic Imaging Centers
Diagnostic Laboratories
Other End-Users
North America
United States
United Kingdom
Rest of Europe
South Korea
Rest of Asia-Pacific
Middle East and Africa
South Africa
Rest of Middle East and Africa
South America
Rest of South America

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Key Market Trends

X-rays Segment is Expected to Dominate the Market

The X-rays segment is expected to garner a significant market share during the forecast period. Since X-rays are the most common imaging test performed in most radiology departments, the potential for artificial intelligence (AI) to aid with the triage and interpretation of traditional radiographs (X-ray images) is particularly significant. Incorporating AI in X-rays enhances its efficiency, accuracy, ease of access, and workflow, reducing time and increasing quality and patient safety. These advantages are expected to increase the demand for AI in X-rays, boosting the segment's growth during the forecast period.

Additionally, the article titled "These Algorithms Look at X-Rays—and Somehow Detect Your Race," published in August 2021, stated that recently market players are heavily spending on innovations to create artificial intelligence software that interprets x-rays and for identifying conditions that doctors occasionally check, such as in the case of lung tumors. Additionally, as mentioned above, these algorithms can detect several data points on these scans that clinicians don't look for. Such developments and the growing incorporation of AI in X-rays are anticipated to drive segment growth.

Furthermore, the increase in product launches by the industry players is anticipated to drive the segment's growth. For instance, in August 2021, CXR-AID, a chest X-ray program powered by artificial intelligence (AI) developed by Fujifilm, will be made available in Japan after receiving certification from the Pharmaceuticals and Medical Devices Agency (PMDA). CXR-AID, which was created utilizing Lunit's AI technology, can recognize significant abnormal findings from X-ray images, such as chest nodules, consolidation, and pneumothorax.

Thus, owing to the abovementioned factors, the segment is expected to grow over the analysis period.

Trend 1 graph

North America Dominates the Market and Expected to do Same in the Forecast Period

The use of artificial intelligence in the diagnostics market in North America is being driven by the increasing use of advanced technology in healthcare systems and the rising burden of chronic diseases in the country.

For instance, according to Cancer Facts and Figures 2022 published in January 2022 by the American Cancer Society, an estimated 1.9 million new cancer cases will be diagnosed in 2022, among which prostate cancer is estimated to be 186,670, followed by 169,870 cases of lung cancer, and 144,490 cases of female breast cancer. The increased prevalence of cancer and the high burden of other chronic diseases increase the demand for accurate diagnosis and treatment. This is likely to increase the adoption of AI for early diagnosis purposes, ultimately boosting the market growth.

Furthermore, according to statistics published by the Government of Canada and released in November 2021, about 229,200 Canadians were diagnosed with cancer in 2021, and prostate cancer is expected to remain the most diagnosed cancer, accounting for 46% of all cancer diagnoses in 2021. According to the same source, breast cancer affects one out of every eight women at some point in their lives. Thus, as the number of cancer cases rises, so does the demand for early diagnosis, driving demand for AI in diagnostics over the projection period.

Several market players are engaged in implementing strategic initiatives, contributing to the market’s growth. For instance, in December 2021, Roche introduced three artificial intelligence (AI)-based, deep learning image analysis Research Use Only (RUO) algorithms developed for breast cancer. In addition, in April 2022, Arterys, the vendor-neutral AI platform, launched several new modules to its robust Cardio AI clinical application and an additional (eighth) Food and Drug Administration (FDA) AI clearance based on deep learning.

Therefore, the factors mentioned earlier will likely contribute to market growth over the forecast period in the North American region.

 artificial intelligence in diagnostics market growth

Competitive Landscape

The Artificial Intelligence in Diagnostics Market is moderately competitive and consists of several major players. Some of the companies which are currently dominating the market are Siemens Healthineers, Nanox Imaging LTD (Zebra Medical Vision, Inc.), Riverain Technologies, Vuno, Inc., Aidoc, Neural Analytics, Imagen Technologies, Digital Diagnostics, Inc., GE Healthcare, AliveCor Inc., Enlitic, and InformAI.

Recent Developments

  • In June 2022, Bayer launched Calantic digital solutions to help address radiology industry challenges. The new platform includes apps to assist radiologists with workload management, lesion detection, and patient management. Bayer expanded the digital capabilities of its radiology business with the launch of artificial intelligence-based apps for X-ray, MRI, and CT imaging.
  • In October 2021, Roche entered into an agreement with PathAI for pathology. Under the development and distribution agreement, the companies will jointly develop pathologists' embedded image analysis workflow.

Table of Contents


    1. 1.1 Study Assumptions and Market Definition

    2. 1.2 Scope of the Study




    1. 4.1 Market Overview

    2. 4.2 Market Drivers

      1. 4.2.1 Increasing Demand For AI Tools in the Medical Imaging Field and Rising Focus On Reducing the Workload of Radiologists

      2. 4.2.2 Government Initiative to Increase the Adoption Of AI-Based Technologies

      3. 4.2.3 Growth in Funding for AI-Based Start-Ups

    3. 4.3 Market Restraints

      1. 4.3.1 Reluctance Among Medical Practitioners to Adopt AI-Based Technologies

      2. 4.3.2 High Procurement Costs and Maintenance

    4. 4.4 Porter's Five Forces Analysis

      1. 4.4.1 Threat of New Entrants

      2. 4.4.2 Bargaining Power of Buyers/Consumers

      3. 4.4.3 Bargaining Power of Suppliers

      4. 4.4.4 Threat of Substitute Products

      5. 4.4.5 Intensity of Competitive Rivalry

  5. 5. MARKET SEGMENTATION (Market Size by Value - USD million)

    1. 5.1 By Type

      1. 5.1.1 In Vitro Diagnostics

      2. 5.1.2 Diagnostic Imaging

        1. MRI

        2. CT

        3. X-rays

        4. Ultrasound

        5. Others

      3. 5.1.3 Other Types

    2. 5.2 By Application

      1. 5.2.1 Cardiology

      2. 5.2.2 Oncology

      3. 5.2.3 Neurology

      4. 5.2.4 Obstetrics/ Gynecology

      5. 5.2.5 Other Applications

    3. 5.3 By End-User

      1. 5.3.1 Hospitals

      2. 5.3.2 Diagnostic Imaging Centers

      3. 5.3.3 Diagnostic Laboratories

      4. 5.3.4 Other End-Users

    4. 5.4 Geography

      1. 5.4.1 North America

        1. United States

        2. Canada

        3. Mexico

      2. 5.4.2 Europe

        1. Germany

        2. United Kingdom

        3. France

        4. Italy

        5. Spain

        6. Rest of Europe

      3. 5.4.3 Asia-Pacific

        1. China

        2. Japan

        3. India

        4. Australia

        5. South Korea

        6. Rest of Asia-Pacific

      4. 5.4.4 Middle East and Africa

        1. GCC

        2. South Africa

        3. Rest of Middle East and Africa

      5. 5.4.5 South America

        1. Brazil

        2. Argentina

        3. Rest of South America


    1. 6.1 Company Profiles

      1. 6.1.1 Siemens Healthineers

      2. 6.1.2 Nanox Imaging LTD (Zebra Medical Vision, Inc.)

      3. 6.1.3 Riverain Technologies

      4. 6.1.4 Vuno, Inc.

      5. 6.1.5 Aidoc

      6. 6.1.6 Neural Analytics

      7. 6.1.7 Imagen Technologies

      8. 6.1.8 Digital Diagnostics, Inc.

      9. 6.1.9 GE Healthcare

      10. 6.1.10 AliveCor Inc.

      11. 6.1.11 Enlitic

      12. 6.1.12 InformAI

    2. *List Not Exhaustive

**Competitive Landscape Includes Business Overview, Financials, Products and Strategies, and Recent Developments

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Frequently Asked Questions

The Global Artificial Intelligence in Diagnostics Market market is studied from 2019 - 2027.

The Global Artificial Intelligence in Diagnostics Market is growing at a CAGR of 26.1% over the next 5 years.

Asia-Pacific is growing at the highest CAGR over 2021- 2026.

North America holds highest share in 2021.

Nanox Imaging LTD (Zebra Medical Vision, Inc.), Riverain Technologies, Aidoc, Siemens Healthineers, Vuno, Inc. are the major companies operating in Global Artificial Intelligence in Diagnostics Market .

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