Computer Vision in Healthcare Market Report Scope & Overview:

The Computer Vision in Healthcare Market Size was valued at USD 1.46 billion in 2023, and is expected to reach USD 33.32 billion by 2031, and grow at a CAGR of 47.8% over the forecast period 2024-2031.

In contrast to a doctor, computer vision uses algorithms for image processing to produce faster and more accurate diagnoses. Computer vision technology for healthcare is utilised in procedures and treatments to treat a variety of ailments. Additionally, the use of computers in healthcare allows for the automation of time-consuming processes, freeing up doctors to concentrate on providing the best possible care for their patients. It aids in cost-cutting as well. Medical imaging modalities like CT and MRI are being developed with the help of rapid prototyping technology and three-dimensional modelling. Medical imaging and diagnostics, surgeries, clinical trials, patient management, research, and other applications are just a few of the segments where it has applicability. Computer vision in healthcare has many benefits that are fueling its rapid expansion. Therefore, the market will benefit from the demand for computer vision.

Computer Vision in Healthcare Market Revenue Analysis

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  • The Healthcare Sector is Seeing a Rise in the Demand for Computer Vision Systems

  • Governmental Efforts to Promote the Adoption of AI-Based Technologies

  • Large Data in Healthcare

  • The application of computer vision to precision medicine


  • Medical Professionals' Reluctance to Adopt AI-Based Technologies

  • Lack of Information and Technical Skills


  • Medical Computer Vision Services in the Cloud

  • Applications Still Unexplored


  • Increasing Security Issues with Cloud-Based Image Processing and Analytics

  • Scarcity of curated data


The healthcare market continues to decline as a result of COVID-19. Communities aside, COVID-19 was a catastrophe for the major world economies, particularly the healthcare industry. Important parties are continuing to modify their plans in response to the quickly shifting circumstances. The healthcare sector is expected to see severe long-term effects from COVID-19. Until the problem is resolved, significant players and nations would need to make important healthcare adjustments.

The future of healthcare reforms is expected to include significant investments in technological development, cost control, and expanded access. In the ongoing outbreak, telemedicine and digital health have assumed a prominent role. Remote diagnosis, care, and consultation were once again highlighted by COVID-19. Growth in Telehealth has been hampered in recent years by legislative and behavioural obstacles. The segment is expected to rise over the next two years, though, as many healthcare providers are now working on video conferencing and phone calls. Patients with mild symptoms were also required to consult online as part of the social distancing strategies. Additionally, it significantly lessened the strain on hospitals who were already overwhelmed with COVID-19 patient counts. Medical IoT devices that reside in the patient's house are now utilised to maximize outpatient care and reduce follow-up visits; these devices can also be employed in an emergency. Extreme resource shortages were caused by the pandemic.


The market trends for computer vision in healthcare are being driven by the escalating demand for digital technology integration in the healthcare industry. As a result, the market is expected to grow profitably in the years to come thanks to a number of benefits such advancements in diagnostics and operations. The market's value chain will also be improved in the coming years because to the development in the supply chain.

By Product & Service

Software, hardware, and services make up the three market segments for computer vision in healthcare. The market segment with the biggest share in software. Despite the difficulties of having a staffing shortage and having to deal with rising imaging scan volumes, software solutions that digitalize healthcare and are coupled with artificial intelligence assist healthcare organisations achieve a competitive edge. This is a significant driver of market expansion.

By Application

Medical imaging & diagnostics, operations, and other applications make up the various subsectors of the computer vision in healthcare industry. The market's highest percentage share was held by the medical imaging and diagnostics category. Additionally, during the anticipated time, this sector is anticipated to increase at the fastest rate. The benefits of employing computer vision for medical imaging and diagnostics, including an improvement in quality, accuracy, and predictability as well as the early diagnosis of some diseases, are what are causing the market for medical imaging and diagnostics to expand.

By End user

Healthcare organisations, diagnostic facilities, and other end users make up the market segments. The healthcare providers market category held the greatest market share and is anticipated to increase at the fastest rate during the forecast period. The main reasons influencing the growth of this end-user market are the expanding use of computer vision solutions in hospitals and the increased emphasis of businesses on creating AI and computer vision tools to enhance hospital operations.


By Product & Service

  • Hardware

  • Software

  • Services

By Application

  • Medical imaging and diagnostics

  • Surgeries

  • Other applications

By End user

  • Healthcare providers

  • Diagnostic centers

Computer Vision in Healthcare Market Segmentation Analysis

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North America is the leading region in the world for computer vision in healthcare, followed by Europe, Asia, and the Rest of the World. The market in North America is anticipated to grow at the fastest rate during the prediction period. The significant growth of the North American market may be ascribed to the rise in the use of imaging procedures for the diagnosis of diseases, the adoption of personalized medicine, and the expansion of government programmes to promote the use of AI-based healthcare solutions.


  • North America

    • USA

    • Canada

    • Mexico

  • Europe

    • Germany

    • UK

    • France

    • Italy

    • Spain

    • The Netherlands

    • Rest of Europe

  • Asia-Pacific

    • Japan

    • south Korea

    • China

    • India

    • Australia

    • Rest of Asia-Pacific

  • The Middle East & Africa

    • Israel

    • UAE

    • South Africa

    • Rest of Middle East & Africa

  • Latin America

    • Brazil

    • Argentina

    • Rest of Latin America

Key Players:

Some of the major key players are as follows: Arterys, iCAD Inc., Basler AG, AiCure, Google, IBM, Intel Corporation, Microsoft, NVIDIA Corporation, Xilinx Inc. and Other Players.

AiCure-Company Financial Analysis

Company Landscape Analysis

Computer Vision in Healthcare Market Report Scope:
Report Attributes Details
Market Size in 2023  US$ 1.46 Billion
Market Size by 2031  US$ 33.32 Billion
CAGR  CAGR of 47.8% From 2024 to 2031
Base Year  2023
Forecast Period  2024-2031
Historical Data  2020-2022
Report Scope & Coverage Market Size, Segments Analysis, Competitive  Landscape, Regional Analysis, DROC & SWOT Analysis, Forecast Outlook
Key Segments • By Product & Service (Hardware, Software, Services)
• By Application (Medical imaging and diagnostics, Surgeries, Other applications)
• By End user (Healthcare providers, Diagnostic centers)
Regional Analysis/Coverage North America (USA, Canada, Mexico), Europe
(Germany, UK, France, Italy, Spain, Netherlands,
Rest of Europe), Asia-Pacific (Japan, South Korea,
China, India, Australia, Rest of Asia-Pacific), The
Middle East & Africa (Israel, UAE, South Africa,
Rest of Middle East & Africa), Latin America (Brazil, Argentina, Rest of Latin America)
Company Profiles Arterys, iCAD Inc., Basler AG, AiCure, Google, IBM, Intel Corporation, Microsoft, NVIDIA Corporation, Xilinx Inc.
DRIVERS • The Healthcare Sector is Seeing a Rise in the Demand for Computer Vision Systems
• Governmental Efforts to Promote the Adoption of AI-Based Technologies
• Large Data in Healthcare
RESTRAINTS • Medical Professionals' Reluctance to Adopt AI-Based Technologies
• Lack of Information and Technical Skills

Frequently Asked Questions

Computer Vision in Healthcare Market Size was valued at USD 993.8 million in 2022, and expected to reach USD 22266 million by 2030.

Large Data in Healthcare, and the application of computer vision to precision medicine are the key drivers of the Computer Vision in Healthcare market. 

Drivers, Restraints, Opportunities, and Challenges are the factors of marketing dynamics Computer Vision in Healthcare market.

Hardware, Software, and Services are the sub segments of component of Computer Vision in Healthcare market.

Yes, the market's value chain will also be improved in the coming years because to the development in the supply chain.

Table of Contents

1. Introduction

1.1 Market Definition

1.2 Scope

1.3 Research Assumptions

2. Research Methodology

3. Market Dynamics

3.1 Drivers

3.2 Restraints

3.3 Opportunities

3.4 Challenges

4. Impact Analysis

4.1 COVID-19 Impact Analysis

4.2 Impact of Ukraine- Russia war

4.3 Impact of ongoing Recession

4.3.1 Introduction

4.3.2 Impact on major economies US Canada Germany France United Kingdom China Japan South Korea Rest of the World

5. Value Chain Analysis

6. Porter’s 5 forces model

7.  PEST Analysis


8. Computer Vision in Healthcare Market Segmentation, By Product & Service

8.1 Hardware

8.2 Software

8.3 Services

9. Computer Vision in Healthcare Market Segmentation, By Application

9.1 Medical imaging and Diagnostics

9.2 Surgeries

9.3 Other applications

10. Computer Vision in Healthcare Market Segmentation, By End User

10.1 Healthcare providers

10.2 Diagnostic centers

11. Regional Analysis

11.1 Introduction

11.2 North America

11.2.1 USA

11.2.2 Canada

11.2.3 Mexico

11.3 Europe

11.3.1 Germany

11.3.2 UK

11.3.3 France

11.3.4 Italy

11.3.5 Spain

11.3.6 The Netherlands

11.3.7 Rest of Europe

11.4 Asia-Pacific

11.4.1 Japan

11.4.2 South Korea

11.4.3 China

11.4.4 India

11.4.5 Australia

11.4.6 Rest of Asia-Pacific

11.5 The Middle East & Africa

11.5.1 Israel

11.5.2 UAE

11.5.3 South Africa

11.5.4 Rest

11.6 Latin America

11.6.1 Brazil

11.6.2 Argentina

11.6.3 Rest of Latin America

12. Company Profiles

12.1 Arterys

12.1.1 Financial

12.1.2 Products/ Services Offered

12.1.3 SWOT Analysis

12.1.4 The SNS view

12.2 iCAD Inc.

12.3 Basler AG

12.4 AiCure

12.5 Google

12.6 IBM

12.7 Intel Corporation

12.8 Microsoft

12.9 NVIDIA Corporation

12.10 Xilinx Inc.

13. Competitive Landscape

13.1 Competitive Benchmark

13.2 Market Share Analysis

13.3 Recent Developments

14. Conclusion

An accurate research report requires proper strategizing as well as implementation. There are multiple factors involved in the completion of good and accurate research report and selecting the best methodology to compete the research is the toughest part. Since the research reports we provide play a crucial role in any company’s decision-making process, therefore we at SNS Insider always believe that we should choose the best method which gives us results closer to reality. This allows us to reach at a stage wherein we can provide our clients best and accurate investment to output ratio.

Each report that we prepare takes a timeframe of 350-400 business hours for production. Starting from the selection of titles through a couple of in-depth brain storming session to the final QC process before uploading our titles on our website we dedicate around 350 working hours. The titles are selected based on their current market cap and the foreseen CAGR and growth.


The 5 steps process:

Step 1: Secondary Research:

Secondary Research or Desk Research is as the name suggests is a research process wherein, we collect data through the readily available information. In this process we use various paid and unpaid databases which our team has access to and gather data through the same. This includes examining of listed companies’ annual reports, Journals, SEC filling etc. Apart from this our team has access to various associations across the globe across different industries. Lastly, we have exchange relationships with various university as well as individual libraries.

Secondary Research

Step 2: Primary Research

When we talk about primary research, it is a type of study in which the researchers collect relevant data samples directly, rather than relying on previously collected data.  This type of research is focused on gaining content specific facts that can be sued to solve specific problems. Since the collected data is fresh and first hand therefore it makes the study more accurate and genuine.

We at SNS Insider have divided Primary Research into 2 parts.

Part 1 wherein we interview the KOLs of major players as well as the upcoming ones across various geographic regions. This allows us to have their view over the market scenario and acts as an important tool to come closer to the accurate market numbers. As many as 45 paid and unpaid primary interviews are taken from both the demand and supply side of the industry to make sure we land at an accurate judgement and analysis of the market.

This step involves the triangulation of data wherein our team analyses the interview transcripts, online survey responses and observation of on filed participants. The below mentioned chart should give a better understanding of the part 1 of the primary interview.

Primary Research

Part 2: In this part of primary research the data collected via secondary research and the part 1 of the primary research is validated with the interviews from individual consultants and subject matter experts.

Consultants are those set of people who have at least 12 years of experience and expertise within the industry whereas Subject Matter Experts are those with at least 15 years of experience behind their back within the same space. The data with the help of two main processes i.e., FGDs (Focused Group Discussions) and IDs (Individual Discussions). This gives us a 3rd party nonbiased primary view of the market scenario making it a more dependable one while collation of the data pointers.

Step 3: Data Bank Validation

Once all the information is collected via primary and secondary sources, we run that information for data validation. At our intelligence centre our research heads track a lot of information related to the market which includes the quarterly reports, the daily stock prices, and other relevant information. Our data bank server gets updated every fortnight and that is how the information which we collected using our primary and secondary information is revalidated in real time.

Data Bank Validation

Step 4: QA/QC Process

After all the data collection and validation our team does a final level of quality check and quality assurance to get rid of any unwanted or undesired mistakes. This might include but not limited to getting rid of the any typos, duplication of numbers or missing of any important information. The people involved in this process include technical content writers, research heads and graphics people. Once this process is completed the title gets uploader on our platform for our clients to read it.

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