AI in Diagnostics Market Size
| Study Period | 2019 - 2029 |
| Market Size (2024) | USD 1.33 Billion |
| Market Size (2029) | USD 5.57 Billion |
| CAGR (2024 - 2029) | 33.14 % |
| Fastest Growing Market | Asia-Pacific |
| Largest Market | North America |
Major Players
*Disclaimer: Major Players sorted in no particular order |
Need a report that reflects how COVID-19 has impacted this market and its growth?
AI in Diagnostics Market Analysis
The Global Artificial Intelligence in Diagnostics Market size is estimated at USD 1.33 billion in 2024, and is expected to reach USD 5.57 billion by 2029, growing at a CAGR of 33.14% during the forecast period (2024-2029).
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.ai (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.
AI in Diagnostics Market Trends
This section covers the major market trends shaping the Artificial Intelligence in Diagnostics Market according to our research experts:
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.
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.
AI in Diagnostics Industry Overview
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.
AI in Diagnostics Market Leaders
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Nanox Imaging LTD (Zebra Medical Vision, Inc.)
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Riverain Technologies
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Aidoc
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Siemens Healthineers
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Vuno, Inc.
*Disclaimer: Major Players sorted in no particular order
AI in Diagnostics Market News
- 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.
AI in Diagnostics Market Report - Table of Contents
1. INTRODUCTION
- 1.1 Study Assumptions and Market Definition
- 1.2 Scope of the Study
2. RESEARCH METHODOLOGY
3. EXECUTIVE SUMMARY
4. MARKET DYNAMICS
- 4.1 Market Overview
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4.2 Market Drivers
- 4.2.1 Increasing Demand For AI Tools in the Medical Imaging Field and Rising Focus On Reducing the Workload of Radiologists
- 4.2.2 Government Initiative to Increase the Adoption Of AI-Based Technologies
- 4.2.3 Growth in Funding for AI-Based Start-Ups
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4.3 Market Restraints
- 4.3.1 Reluctance Among Medical Practitioners to Adopt AI-Based Technologies
- 4.3.2 High Procurement Costs and Maintenance
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4.4 Porter's Five Forces Analysis
- 4.4.1 Threat of New Entrants
- 4.4.2 Bargaining Power of Buyers/Consumers
- 4.4.3 Bargaining Power of Suppliers
- 4.4.4 Threat of Substitute Products
- 4.4.5 Intensity of Competitive Rivalry
5. MARKET SEGMENTATION (Market Size by Value - USD million)
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5.1 By Type
- 5.1.1 In Vitro Diagnostics
- 5.1.2 Diagnostic Imaging
- 5.1.2.1 MRI
- 5.1.2.2 CT
- 5.1.2.3 X-rays
- 5.1.2.4 Ultrasound
- 5.1.2.5 Others
- 5.1.3 Other Types
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5.2 By Application
- 5.2.1 Cardiology
- 5.2.2 Oncology
- 5.2.3 Neurology
- 5.2.4 Obstetrics/ Gynecology
- 5.2.5 Other Applications
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5.3 By End-User
- 5.3.1 Hospitals
- 5.3.2 Diagnostic Imaging Centers
- 5.3.3 Diagnostic Laboratories
- 5.3.4 Other End-Users
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5.4 Geography
- 5.4.1 North America
- 5.4.1.1 United States
- 5.4.1.2 Canada
- 5.4.1.3 Mexico
- 5.4.2 Europe
- 5.4.2.1 Germany
- 5.4.2.2 United Kingdom
- 5.4.2.3 France
- 5.4.2.4 Italy
- 5.4.2.5 Spain
- 5.4.2.6 Rest of Europe
- 5.4.3 Asia-Pacific
- 5.4.3.1 China
- 5.4.3.2 Japan
- 5.4.3.3 India
- 5.4.3.4 Australia
- 5.4.3.5 South Korea
- 5.4.3.6 Rest of Asia-Pacific
- 5.4.4 Middle East and Africa
- 5.4.4.1 GCC
- 5.4.4.2 South Africa
- 5.4.4.3 Rest of Middle East and Africa
- 5.4.5 South America
- 5.4.5.1 Brazil
- 5.4.5.2 Argentina
- 5.4.5.3 Rest of South America
6. COMPETITIVE LANDSCAPE
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6.1 Company Profiles
- 6.1.1 Siemens Healthineers
- 6.1.2 Nanox Imaging LTD (Zebra Medical Vision, Inc.)
- 6.1.3 Riverain Technologies
- 6.1.4 Vuno, Inc.
- 6.1.5 Aidoc
- 6.1.6 Neural Analytics
- 6.1.7 Imagen Technologies
- 6.1.8 Digital Diagnostics, Inc.
- 6.1.9 GE Healthcare
- 6.1.10 AliveCor Inc.
- 6.1.11 Enlitic
- 6.1.12 InformAI
- *List Not Exhaustive
7. MARKET OPPORTUNITIES AND FUTURE TRENDS
** Subject To AvailablityAI in Diagnostics Industry Segmentation
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 | MRI | |
| CT | ||
| X-rays | ||
| Ultrasound | ||
| Others | ||
| Other Types | ||
| By Application | Cardiology | |
| Oncology | ||
| Neurology | ||
| Obstetrics/ Gynecology | ||
| Other Applications | ||
| By End-User | Hospitals | |
| Diagnostic Imaging Centers | ||
| Diagnostic Laboratories | ||
| Other End-Users | ||
| Geography | North America | United States |
| Canada | ||
| Mexico | ||
| Geography | Europe | Germany |
| United Kingdom | ||
| France | ||
| Italy | ||
| Spain | ||
| Rest of Europe | ||
| Geography | Asia-Pacific | China |
| Japan | ||
| India | ||
| Australia | ||
| South Korea | ||
| Rest of Asia-Pacific | ||
| Geography | Middle East and Africa | GCC |
| South Africa | ||
| Rest of Middle East and Africa | ||
| Geography | South America | Brazil |
| Argentina | ||
| Rest of South America |
AI in Diagnostics Market Research FAQs
How big is the Global Artificial Intelligence in Diagnostics Market?
The Global Artificial Intelligence in Diagnostics Market size is expected to reach USD 1.33 billion in 2024 and grow at a CAGR of 33.14% to reach USD 5.57 billion by 2029.
What is the current Global Artificial Intelligence in Diagnostics Market size?
In 2024, the Global Artificial Intelligence in Diagnostics Market size is expected to reach USD 1.33 billion.
Who are the key players in Global Artificial Intelligence in Diagnostics Market?
Nanox Imaging LTD (Zebra Medical Vision, Inc.), Riverain Technologies, Aidoc, Siemens Healthineers and Vuno, Inc. are the major companies operating in the Global Artificial Intelligence in Diagnostics Market.
Which is the fastest growing region in Global Artificial Intelligence in Diagnostics Market?
Asia-Pacific is estimated to grow at the highest CAGR over the forecast period (2024-2029).
Which region has the biggest share in Global Artificial Intelligence in Diagnostics Market?
In 2024, the North America accounts for the largest market share in Global Artificial Intelligence in Diagnostics Market.
What years does this Global Artificial Intelligence in Diagnostics Market cover, and what was the market size in 2023?
In 2023, the Global Artificial Intelligence in Diagnostics Market size was estimated at USD 1.00 billion. The report covers the Global Artificial Intelligence in Diagnostics Market historical market size for years: 2019, 2020, 2021, 2022 and 2023. The report also forecasts the Global Artificial Intelligence in Diagnostics Market size for years: 2024, 2025, 2026, 2027, 2028 and 2029.
Global Artificial Intelligence in Diagnostics Industry Report
Statistics for the 2024 Global Artificial Intelligence in Diagnostics market share, size and revenue growth rate, created by Mordor Intelligenceā¢ Industry Reports. Global Artificial Intelligence in Diagnostics analysis includes a market forecast outlook to 2029 and historical overview. Get a sample of this industry analysis as a free report PDF download.
