Computer Vision in Healthcare Market by Product & Service (Software (On premise, Cloud), Hardware (CPU, GPU, FPGA, ASICs), Memory, Network), Application (Medical Imaging, Surgery), & End User (Health Care Provider, Diagnostic Center) - Forecasts to 2023
[135 Pages Report] The computer vision in healthcare market is projected to reach USD 1,457 million by 2023 from USD 210 million in 2018, at a CAGR of 47.2% during the forecast period. Factors such as the increasing demand for computer vision systems in the healthcare industry, government initiatives to increase the adoption of AI-based technologies, big data in healthcare, and the use of computer vision in precision medicine are expected to drive the growth of this market.
Software segment accounted for the largest share of the computer vision in healthcare market in 2018
On the basis of product & service, the computer vision in healthcare market has been segmented into software, hardware, and services. In 2018, the software segment accounted for the largest share of the market. Software solutions digitalize healthcare and are integrated with artificial intelligence, which helps healthcare providers gain a competitive edge despite the challenges of being short-staffed and facing increasing imaging scan volumes. This is a major factor driving market growth.
Medical imaging & diagnostics applications to register the highest growth in the computer vision in healthcare market during the forecast period
The computer vision in healthcare market, by application, is segmented into medical imaging & diagnostics, surgeries, and other applications. The medical imaging & diagnostics segment accounted for the largest share of the market in 2018. This segment is also projected to witness the highest growth during the forecast period. The advantages of using computer vision for medical imaging & diagnostics, such as an increase in quality, accuracy, and predictability and early detection of certain diseases are driving the growth of the medical imaging & diagnostics segment.
Healthcare providers are the largest end users of the computer vision in healthcare market
On the basis of end user, the market is segmented into healthcare providers, diagnostic centers, and other end users. The healthcare providers segment accounted for the largest market share in 2018 and is projected to register the highest growth rate during the forecast period. The growing adoption of computer vision solutions in hospitals and the increasing focus of companies on developing AI and computer vision tools to improve hospital operations are the major factors driving the growth of this end-user segment.
North America will continue to dominate the computer vision in healthcare market in 2023
The global computer vision in healthcare industry is dominated by North America, followed by Europe, Asia, and the RoW. The market in North America is also expected to witness the highest growth during the forecast period. The high growth of the North American market can be attributed to the increasing number of imaging procedures for disease diagnosis, growing adoption of personalized medicine, and growing government initiatives for the adoption of AI-based solutions in healthcare.
Key players in the computer vision in healthcare market
The computer vision in healthcare market is highly competitive in nature, with several big as well as emerging players. Prominent players in this market include NVIDIA Corporation (US), Microsoft (US), Intel Corporation (US), Xilinx Inc. (US), IBM (US), Google (US), Basler AG (Germany), Arterys (US), AiCure (US), and iCAD Inc. (US).
NVIDIA is a leading player in the visual computing business. The company has a well-established geographic footprint and deals with major OEMs or ODMs. The company focuses on developing new AI products in the computer vision market. Recently, NVIDIA witnessed a significant increase in its data center revenue. The company mainly focuses on adopting organic growth strategies to maintain its position in the market. For instance, in September 2018, the company launched the NVIDIA Clara platform, and in October 2017, the company launched the NVIDIA GPU Cloud (NGC).
Recent Developments
- In 2018, NVIDIA partnered with Kings College London, a leader in medical research. Kings College London is Europes first clinical partner to adopt NVIDIA DGX-2 and the NVIDIA Clara platform. Kings College deployed NVIDIA AI solutions to rethink the practice of radiology and pathology in a quest to better serve 8 million patients in the UKs National Health Service.
- In 2018, Intel collaborated with Novartis on the use of deep neural networks (DNN) to accelerate high content screeninga key element of early drug discovery.
- In 2018, IBM collaborated with NVIDIA to incorporate the RAPIDS open source software into its enterprise-grade data science platform for on-premise, hybrid, and multi-cloud environments.
Key Questions addressed by the report
- Where will all these developments take the industry in the mid to long term?
- What types of annual and multi-year partnerships are computer vision in healthcare companies exploring?
- Which are the key players in the market and how intense is the competition?
- Which are the recent contracts and agreements key players have signed?
- What are the recent trends affecting computer vision manufacturers and independent service organizations?
To speak to our analyst for a discussion on the above findings, click Speak to Analyst
Table of Contents
1 Introduction (Page No. - 16)
1.1 Objectives of the Study
1.2 Market Definition
1.3 Market Scope
1.3.1 Markets Covered
1.3.2 Years Considered for the Study
1.4 Currency
1.5 Limitations
1.6 Stakeholders
2 Research Methodology (Page No. - 20)
2.1 Research Data
2.1.1 Secondary Sources
2.1.1.1 Key Data From Secondary Sources
2.1.2 Primary Sources
2.1.2.1 Key Data From Primary Sources
2.1.2.2 Key Industry Insights
2.2 Market Size Estimation
2.3 Market Breakdown and Data Triangulation
2.4 Market Share Estimation
2.5 Assumptions for the Study
3 Executive Summary (Page No. - 28)
4 Premium Insights (Page No. - 32)
4.1 Computer Vision in Healthcare: Market Overview
4.2 Computer Vision in Healthcare Market, By Product & Service, 2018 vs 2023 (USD Million)
4.3 Computer Vision in Healthcare Market, By Application, 20182023 (USD Million)
4.4 Computer Vision in Healthcare Market Share, By End User and Region, 2018
4.5 Computer Vision in Healthcare Market: Geographic Growth Opportunities
5 Market Overview (Page No. - 37)
5.1 Introduction
5.2 Market Dynamics
5.2.1 Drivers
5.2.1.1 Increasing Demand for Computer Vision Systems in the Healthcare Industry
5.2.1.2 Government Initiatives to Increase the Adoption of Ai-Based Technologies
5.2.1.3 Big Data in Healthcare
5.2.1.4 Use of Computer Vision in Precision Medicine
5.2.2 Restraints
5.2.2.1 Reluctance of Medical Practitioners to Adopt Ai-Based Technologies
5.2.2.2 Lack of Awareness and Technical Knowledge
5.2.3 Opportunities
5.2.3.1 Cloud-Based Healthcare Computer Vision Solutions
5.2.3.2 Unexplored Applications
5.2.4 Challenges
5.2.4.1 Rising Security Concerns Related to Cloud-Based Image Processing and Analytics
5.2.4.2 Lack of Curated Data
6 Computer Vision in Healthcare Market, By Product & Service (Page No. - 43)
6.1 Introduction
6.2 Software
6.2.1 On-Premise Solutions
6.2.1.1 Greater Control and Security Offered By On-Premise Solutions to Drive the Adoption of These Solutions By Healthcare Organizations
6.2.2 Cloud-Based Solutions
6.2.2.1 Factors Such as Ease of Use, Affordability, and Reliability Have Ensured the High Growth of the Cloud-Based Solutions Market
6.3 Hardware
6.3.1 Processors
6.3.1.1 Cpus
6.3.1.1.1 High Demand for Cpus Across the Globe to Drive Market Growth
6.3.1.2 Gpus
6.3.1.2.1 Gpus Handle Graphics Applications and Display Functions That Render High-Quality Images, Animations, and Videos, A Key Factor Driving Market Growth
6.3.1.3 Fpgas
6.3.1.3.1 Advantages Such as Rapid Prototyping, Shorter Time-To-Market, Reprogram Ability, and Longevity to Drive Growth in This Segment
6.3.1.4 Asics
6.3.1.4.1 High Affordability and Improved Performance are Key Advantages of Asics Promoting Market Growth
6.3.1.5 Vpus
6.3.1.5.1 Advantages of Vpus in Accelerating Computer Vision Tasks to Drive Market Growth
6.3.2 Memory Devices
6.3.2.1 High-Bandwidth Memory (HBM) is A Specialized, Vertically Stacked Dram Integrated With Processors to Increase Speed While Reducing Latency, Power, and SizeKey Factors Driving Growth
6.3.3 Networks
6.3.3.1 AI-Enhanced Networks Can Provide Faster, More Accurate Ways for Customers to Explore Products, Leading to an Increasing Number of Orders
6.4 Services
6.4.1 Growth in This Segment Can Be Attributed to the Recurring Requirement for Services, Such as Training, Software Upgrades, and Software Maintenance Post-Installation
7 Computer Vision in Healthcare Market, By Application (Page No. - 61)
7.1 Introduction
7.2 Medical Imaging & Diagnostics
7.2.1 Medical Imaging & Diagnostics is the Largest Application Segment of the Computer Vision in Healthcare Market
7.3 Surgeries
7.3.1 Computer Vision Improves Surgeons Recognition Capacity, Helping Them Make Decisions During Complicated Surgeries
7.4 Other Applications
8 Computer Vision in Healthcare Market, By End User (Page No. - 68)
8.1 Introduction
8.2 Healthcare Providers
8.2.1 Healthcare Providers Form the Largest End-User Segment of the Computer Vision in Healthcare Market
8.3 Diagnostic Centers
8.3.1 High Data Generation in This Sector Will Necessitate Use of Computer Vision Solutions
8.4 Other End Users
9 Computer Vision in Healthcare Market, By Region (Page No. - 74)
9.1 Introduction
9.2 North America
9.2.1 US
9.2.1.1 Rising Volume of Medical Imaging Data Estimated to Be A Major Factor Driving Market Growth in the US
9.2.2 Canada
9.2.2.1 Increasing Government Funding for the Adoption of AI in the Healthcare Sector to Drive Market Growth in Canada
9.3 Europe
9.3.1 Growing Volume of Medical Imaging Data Being Generated in the Healthcare Systems of European Countries Paving the Way for the Adoption of Computer Vision-Based Solutions
9.4 Asia
9.4.1 Developing It Infrastructure and AI-Friendly Initiatives By Governments in Several Asian Countries to Support the Adoption of Computer Vision-Based Solutions
9.5 RoW
10 Competitive Landscape (Page No. - 99)
10.1 Overview
10.2 Market Player Ranking
10.3 Competitive Leadership Mapping
10.3.1 Vanguards
10.3.2 Dynamic Differentiators
10.3.3 Innovators
10.3.4 Emerging Players
10.4 Competitive Situation and Trends
10.4.1 Product Launches and Approvals
10.4.2 Acquisitions
10.4.3 Other Strategies
11 Company Profiles (Page No. - 105)
(Business Overview, Products Offered, Recent Developments, MnM View)*
11.1 Microsoft
11.2 NVIDIA
11.3 Intel
11.4 Xilinx
11.5 IBM
11.6 Google (A Subsidiary of Alphabet, Inc.)
11.7 Basler AG
11.8 Arterys, Inc.
11.9 AiCure
11.10 iCAD, Inc.
*Business Overview, Products Offered, Recent Developments, MnM View Might Not Be Captured in Case of Unlisted Companies.
12 Appendix (Page No. - 129)
12.1 Discussion Guide
12.2 Knowledge Store: Marketsandmarkets Subscription Portal
12.3 Available Customizations
12.4 Related Reports
12.5 Author Details
List of Tables (81 Tables)
Table 1 Computer Vision in Healthcare Market, By Product & Service, 20162023 (USD Million)
Table 2 Computer Vision in Healthcare Market for Software, By Region, 20162023 (USD Million)
Table 3 North America: Computer Vision in Healthcare Market for Software, By Country, 20162023 (USD Million)
Table 4 Market for Software, By Deployment Model, 20162023 (USD Million)
Table 5 Market for On-Premise Solutions, By Region, 20162023 (USD Million)
Table 6 North America: Market for On-Premise Solutions, By Country, 20162023 (USD Million)
Table 7 Market for Cloud-Based Solutions, By Region, 20162023 (USD Million)
Table 8 North America: Market for Cloud-Based Solutions, By Country, 20162023 (USD Million)
Table 9 Market for Hardware, By Type, 20162023 (USD Million)
Table 10 Market for Hardware, By Region, 20162023 (USD Million)
Table 11 North America: Market for Hardware, By Country, 20162023 (USD Million)
Table 12 Market for Processors, By Type, 20162023 (USD Million)
Table 13 Market for Processors, By Region, 20162023 (USD Million)
Table 14 North America: Market for Processors, By Country, 20162023 (USD Million)
Table 15 Market for Cpus, By Region, 20162023 (USD Million)
Table 16 Market for Gpus, By Region, 20162023 (USD Million)
Table 17 Market for Fpgas, By Region, 20162023 (USD Million)
Table 18 Market for Asics, By Region, 20162023 (USD Million)
Table 19 Market for Vpus, By Region, 20162023 (USD Million)
Table 20 Market for Memory Devices, By Region, 20162023 (USD Million)
Table 21 North America: Market for Memory Devices, By Country, 20162023 (USD Million)
Table 22 Market for Networks, By Region, 20162023 (USD Million)
Table 23 North America: Market for Networks, By Country, 20162023 (USD Million)
Table 24 Market for Services, By Region, 20162023 (USD Million)
Table 25 North America: Market for Services, By Country, 20162023 (USD Million)
Table 26 Market, By Application, 20162023 (USD Million)
Table 27 Market for Medical Imaging & Diagnostics, By Region, 20162023 (USD Million)
Table 28 North America: Market for Medical Imaging & Diagnostics, By Country, 20162023 (USD Million)
Table 29 Market for Surgeries, By Region, 20162023 (USD Million)
Table 30 North America: Market for Surgeries, By Country, 20162023 (USD Million)
Table 31 Market for Other Applications, By Region, 20162023 (USD Million)
Table 32 North America: Market for Other Applications, By Country, 20162023 (USD Million)
Table 33 Market, By End User, 20162023 (USD Million)
Table 34 Market for Healthcare Providers, By Region, 20162023 (USD Million)
Table 35 North America: Market for Healthcare Providers, By Country, 20162023 (USD Million)
Table 36 Market for Diagnostic Centers, By Region, 20162023 (USD Million)
Table 37 North America: Market for Diagnostic Centers, By Country, 20162023 (USD Million)
Table 38 Market for Other End Users, By Region, 20162023 (USD Million)
Table 39 North America: Market, By Country, 20162023 (USD Million)
Table 42 North America: Market, By Product & Service, 20162023 (USD Million)
Table 43 North America: Market for Software, By Deployment Model, 20162023 (USD Million)
Table 44 North America: Market for Hardware, By Type, 20162023 (USD Million)
Table 45 North America: Market for Processors, By Type, 20162023 (USD Million)
Table 46 North America: Market, By Application, 20162023 (USD Million)
Table 47 North America: Computer Vision in Healthcare Market, By End User, 20162023 (USD Million)
Table 48 US: Market, By Product & Service, 20162023 (USD Million)
Table 49 US: Market for Software, By Deployment Model, 20162023 (USD Million)
Table 50 US: Market for Hardware, By Type, 20162023 (USD Million)
Table 51 US: Market for Processors, By Type, 20162023 (USD Million)
Table 52 US: Market, By Application, 20162023 (USD Million)
Table 53 US: Computer Vision in Healthcare Market, By End User, 20162023 (USD Million)
Table 54 Canada: Computer Vision in Healthcare Market, By Product & Service, 20162023 (USD Million)
Table 55 Canada: Market for Software, By Deployment Model, 20162023 (USD Million)
Table 56 Canada: Market for Hardware, By Type, 20162023 (USD Million)
Table 57 Canada: Market for Processors, By Type, 20162023 (USD Million)
Table 58 Canada: Market, By Application, 20162023 (USD Million)
Table 59 Canada: Market, By End User, 20162023 (USD Million)
Table 60 Europe: Computer Vision in Healthcare Market, By Product & Service, 20162023 (USD Million)
Table 61 Europe: Market for Software, By Deployment Model, 20162023 (USD Million)
Table 62 Europe: Market for Hardware, By Type, 20162023 (USD Million)
Table 63 Europe: Market for Processors, By Type, 20162023 (USD Million)
Table 64 Europe: Market, By Application, 20162023 (USD Million)
Table 65 Europe: Market, By End User, 20162023 (USD Million)
Table 66 Asia: Market, By Product & Service, 20162023 (USD Million)
Table 67 Asia: Market for Software, By Deployment Model, 20162023 (USD Million)
Table 68 Asia: Market for Hardware, By Type, 20162023 (USD Million)
Table 69 Asia: Market for Processors, By Type, 20162023 (USD Million)
Table 70 Asia: Market, By Application, 20162023 (USD Million)
Table 71 Asia: Market, By End User, 20162023 (USD Million)
Table 72 RoW: Market, By Product & Service, 20162023 (USD Million)
Table 73 RoW: Market for Software, By Deployment Model, 20162023 (USD Million)
Table 74 RoW: Market for Hardware, By Type, 20162023 (USD Million)
Table 75 RoW: Market for Processors, By Type, 20162023 (USD Million)
Table 76 RoW: Market, By Application, 20162023 (USD Million)
Table 77 RoW: Market, By End User, 20162023 (USD Million)
Table 78 Computer Vision in Healthcare Market Player Ranking, 2018
Table 79 Product Launches & Approvals, 20162018
Table 80 Acquisitions, 20152018
Table 81 Other Strategies, 20152018
List of Figures (33 Figures)
Figure 1 Computer Vision in Healthcare: Market Segmentation
Figure 2 Research Design
Figure 3 Breakdown of Primary Interviews
Figure 4 Bottom-Up Approach
Figure 5 Top-Down Approach
Figure 6 Data Triangulation Methodology
Figure 7 Market, By Product & Service, 2018 vs 2023 (USD Million)
Figure 8 Market, By Application
Figure 9 Market, By End User, 2018 (USD Million)
Figure 10 Geographical Snapshot: Computer Vision in Healthcare Market
Figure 11 Government Initiatives to Increase Adoption of Ai-Based Technologies is Driving the Growth of the Computer Vision in Healthcare Market
Figure 12 Services Segment to Register the Highest Growth Rate During the Forecast Period
Figure 13 Medical Imaging & Diagnostics Segment Accounted for the Largest Market Share in 2018
Figure 14 Healthcare Providers Accounted for the Largest Share of the Market in 2018
Figure 15 The US Market is Expected to Grow at the Highest Rate During the Forecast Period
Figure 16 Computer Vision in Healthcare Market: Drivers, Restraints, Opportunities, and Challenges
Figure 17 Software Segment to Dominate the Computer Vision in Healthcare Market During the Forecast Period
Figure 18 Medical Imaging & Diagnostics Segment to Dominate the Computer Vision in Healthcare Market During the Forecast Period
Figure 19 Healthcare Provides to Dominate the Computer Vision in Healthcare Market
Figure 20 North America: Market Snapshot
Figure 21 Europe: Market Snapshot
Figure 22 Asia: Market Snapshot
Figure 23 RoW: Market Snapshot
Figure 24 ExpansionsKey Growth Strategy Adopted By Market Players From 2015 to October 2018
Figure 25 Competitive Leadership Mapping of the Computer Vision in Healthcare Market
Figure 26 Microsoft: Company Snapshot (2017)
Figure 27 NVIDIA: Company Snapshots (2018)
Figure 28 Intel: Company Snapshot (2017)
Figure 29 Xilinx: Company Snapshot (2018)
Figure 30 IBM: Company Snapshot (2017)
Figure 31 Alphabet: Company Snapshot (2017)
Figure 32 Basler: Company Snapshot (2017)
Figure 33 iCAD: Company Snapshot (2017)
The study involved four major activities to estimate the current size of the computer vision in healthcare market. Exhaustive secondary research was done to collect information on the market, its peer markets, and its parent market. The next step was to validate these findings, assumptions, and sizing with industry experts across the value chain through primary research. Both top-down and bottom-up approaches were employed to estimate the complete market size. Thereafter, market breakdown and data triangulation were used to estimate the market size of segments and subsegments.
Secondary Research
Secondary research was mainly used to identify and collect information for the extensive, technical, market-oriented, and commercial study of the computer vision in healthcare market. Secondary sources such as directories; databases such as Bloomberg Business, Factiva, and Wall Street Journal; white papers; and annual reports were used to obtain key information about major players, market classification, and segmentation according to industry trends, regional/country-level markets, market developments, and technology perspectives.
Primary Research
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 the critical qualitative and quantitative information as well as assess future prospects of the market. Various primary sources from both the supply and demand sides of the market were interviewed to obtain qualitative and quantitative information. Following is the breakdown of primary respondents:
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Market Size Estimation
Both top-down and bottom-up approaches were used to estimate and validate the total size of the computer vision in healthcare market. These methods were also used extensively to estimate the size of various subsegments in the market. The research methodology used to estimate the market size includes the following:
- The key players in the industry and markets have been identified through extensive secondary research.
- Computer vision in healthcare revenue generated by leading players has been determined through primary and secondary research.
- All percentage shares, splits, and breakdowns have been determined using secondary sources and verified through primary sources.
Data Triangulation
After arriving at the overall market size from the market size estimation process, the total market was split into several segments and subsegments. To complete the overall market engineering process and arrive at the exact statistics for all segments and subsegments, 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.
Report Objectives
- To define, describe, and forecast the computer vision in healthcare market on the basis of product & service, application, end user, and region
- To provide detailed information regarding the factors influencing the growth of the market (drivers, restraints, opportunities, and industry-specific challenges)
- To strategically analyze micromarkets1 with respect to individual growth trends, prospects, and contributions to the market
- To analyze market opportunities for stakeholders and provide details of the competitive landscape for market leaders
- To forecast the size of market segments in North America, Europe, Asia, and the Rest of the World (RoW)
- To profile key players and comprehensively analyze their product portfolios, market positions, and core competencies
- To track and analyze competitive developments, such as product launches and approvals; joint ventures, partnerships, and collaborations; acquisitions; and contracts in the computer vision in healthcare market
Scope of the report
|
Report Metric |
Details |
|
Market size available for years |
20162023 |
|
Base year considered |
2017 |
|
Forecast period |
20182023 |
|
Forecast units |
Value (USD) |
|
Segments covered |
Product & service, application, end user, and region |
|
Geographies covered |
North America, Asia, Europe, and the Rest of the World |
|
Companies covered |
NVIDIA Corporation (US), Microsoft (US), Intel Corporation (US), Xilinx Inc. (US), IBM (US), Google (US), Basler AG (Germany), Arterys (US), AiCure (US), and iCAD Inc. (US) |
This report categorizes the computer vision in healthcare market into the following segments and subsegments:
On the basis of Product & Service, the computer vision in healthcare market has been segmented as follows:
- Hardware
- Processors
- CPUs
- GPUs
- FPGAs
- ASICs
- VPUs
- Memory devices
- Networks
- Processors
- Software
- Cloud-based
- On-premise
- Services
On the basis of Application, the computer vision in healthcare market has been segmented as follows:
- Medical imaging and diagnostics
- Surgeries
- Other applications (clinical trials, patient management, and research)
On the basis of End user, the computer vision in healthcare market has been segmented as follows:
- Healthcare providers
- Diagnostic centers
- Other end users (academic research institutes, private and public research centers, and the life science industry)
On the basis of Region, the computer vision in healthcare market has been segmented as follows:
- North America
- US
- Canada
- Europe
- Asia
- RoW
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Growth opportunities and latent adjacency in Computer Vision in Healthcare Market