Dublin, March 14, 2019 (GLOBE NEWSWIRE) -- The "Computer Vision in Healthcare Market by Product & Service (Software (On premise, Cloud), Hardware, Memory, Network), Application (Medical Imaging, Surgery), & End User (Health Care Provider, Diagnostic Center) - Forecasts to 2023" report has been added to ResearchAndMarkets.com's offering.
The computer vision in healthcare market is projected to reach USD 1,456.5 million by 2023 from USD 210.5 million in 2018, at a CAGR of 47.2% during the forecast period.
Growth in this market is driven by the increasing demand for computer vision systems in the healthcare industry, government initiatives to increase adoption of AI-based technologies, big data in healthcare, and the use of computer vision in precision medicine. However, reluctance among medical practitioners to adopt AI-based technologies, and lack of awareness and technical knowledge are expected to restrain market growth to a certain extent. In this report, the computer vision in healthcare market is segmented by product & service, application, end user, and region.
In 2018, North America accounted for the largest share of 39.9% of the computer vision in healthcare market, followed by Europe (27.2%). The North American market is also expected to grow at the highest CAGR during the forecast period. The demand for computer vision-based solutions in the healthcare system in North America is driven by 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 in the region.
The computer vision in healthcare market is highly competitive owing to the presence of several large and small players. 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) are some of the leading players operating in the computer vision in healthcare market. Players in this market are primarily pursuing the strategies of partnerships, collaborations, product launches, and acquisitions to develop and expand their market presence.
Key Topics Covered:
1 Introduction
2 Research Methodology
3 Executive Summary
4 Premium Insights
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, 2018-2023 (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
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
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 Size-Key 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
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
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
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
10 Competitive Landscape
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
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.
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