Computer Vision in Healthcare Market by Component, Technology, Application, Deployment, End-User

Description

List of Tables

[195 Pages Report] The Computer Vision in Healthcare Market size was estimated at USD 3.55 billion in 2023 and expected to reach USD 4.41 billion in 2024, at a CAGR 24.57% to reach USD 16.54 billion by 2030.

Computer vision in healthcare uses algorithms and technology that enable computers to analyze visual data from the medical realm, such as images from MRIs, CT scans, or X-rays. This technology assists healthcare professionals in diagnosing diseases, tracking treatment progress, and even performing surgeries with greater precision, thus augmenting the overall effectiveness of medical care. The adoption of computer vision in healthcare is primarily driven by the growing prevalence of chronic diseases worldwide, necessitating enhanced diagnostic and monitoring systems. Moreover, the vast amount of data generated by modern medical imaging techniques increases the demand for computer vision to detect anomalies in medical imaging. However, computer vision in healthcare raises significant concerns about the security and confidentiality of patient data, hampering the market's growth. Furthermore, expanding telemedicine can offer a potential for wide adoption of computer vision in remote diagnosis and patient care, broadening the scope of healthcare accessibility. Additionally, Innovations in AI and ML algorithms can significantly enhance the efficiency and accuracy of computer vision systems, offering significant growth opportunities for computer vision in the healthcare market.

KEY MARKET STATISTICS
Base Year [2023]	USD 3.55 billion
Estimated Year [2024]	USD 4.41 billion
Forecast Year [2030]	USD 16.54 billion
CAGR (%)	24.57%

Regional Insights

In the Americas, computer vision in the healthcare market is benefiting from substantial technology investments and robust healthcare systems, which propel the growth of this market. Moreover, with numerous top-tier medical institutions and tech companies, the market players are developing several AI-based imaging devices that aid in early disease detection and patient management. Conversely, countries in South America are advancing at a slower pace due to unequal technological integration and healthcare development. In the EMEA region, Europe has well-established healthcare infrastructures and significant technology investments that enhance the growth of the country's market. Countries within the EU are rapidly integrating computer vision in healthcare settings, bolstered by supportive regulations, including general data protection regulation, which ensures data protection in AI applications. In the Middle East, governments are pushing for digital transformation in healthcare, including adopting computer vision in several projects and initiatives to enhance healthcare services and accessibility. Moreover, there is increasing interest in Africa from international tech companies looking to invest and partner with local institutions to deploy computer vision solutions driven by supportive government policies and funding. In the APAC region, the government and private sectors support substantial research and development, aiming to integrate computer vision in chronic disease management, elderly care, and remote patient monitoring. China is keen to adopt computer vision to improve patient care and operational efficiencies in hospitals. In Japan, the aging population has prompted the adoption of AI and computer vision in healthcare to manage elderly care and chronic diseases. In India, Initiatives, including digital India and considerable investments in AI startups, are paving the way for significant advancements, with an increasing focus on accessible and affordable healthcare solutions.

Market Insights

Market Dynamics

The market dynamics represent an ever-changing landscape of the Computer Vision in Healthcare Market by providing actionable insights into factors, including supply and demand levels. Accounting for these factors helps design strategies, make investments, and formulate developments to capitalize on future opportunities. In addition, these factors assist in avoiding potential pitfalls related to political, geographical, technical, social, and economic conditions, highlighting consumer behaviors and influencing manufacturing costs and purchasing decisions.

Market Drivers
- Increasing need for quality inspection and automation in healthcare
- Growing focus on the adoption of telemedicine and virtual healthcare strategies to ease patient comfort and improve health
- Government support for improving the digital healthcare infrastructure

Market Restraints
- Complexity associated with integrating computer vision systems with medical devices

Market Opportunities
- Ongoing innovations to improve the reliability and performance of computer vision in healthcare
- Preference for personalized medicine strategies to manage complex disease conditions

Market Challenges
- Performance issues and privacy concerns associated with computer vision in healthcare

Market Segmentation Analysis
- Component: Significant deployment of hardware for capturing high-quality data
- End-User: Expanding the application of computer vision in diagnostic centers to reduce diagnostic errors

Market Disruption Analysis
Porter's Five Forces Analysis
Value Chain & Critical Path Analysis
Pricing Analysis
Technology Analysis
Patent Analysis
Trade Analysis
Regulatory Framework Analysis

FPNV Positioning Matrix

The FPNV positioning matrix is essential in evaluating the market positioning of the vendors in the Computer Vision in Healthcare Market. This matrix offers a comprehensive assessment of vendors, examining critical metrics related to business strategy and product satisfaction. This in-depth assessment empowers users to make well-informed decisions aligned with their requirements. Based on the evaluation, the vendors are then categorized into four distinct quadrants representing varying levels of success, namely Forefront (F), Pathfinder (P), Niche (N), or Vital (V).

Market Share Analysis

The market share analysis is a comprehensive tool that provides an insightful and in-depth assessment of the current state of vendors in the Computer Vision in Healthcare Market. By meticulously comparing and analyzing vendor contributions, companies are offered a greater understanding of their performance and the challenges they face when competing for market share. These contributions include overall revenue, customer base, and other vital metrics. Additionally, this analysis provides valuable insights into the competitive nature of the sector, including factors such as accumulation, fragmentation dominance, and amalgamation traits observed over the base year period studied. With these illustrative details, vendors can make more informed decisions and devise effective strategies to gain a competitive edge in the market.

Recent Developments

Siemens Healthineers Unveils Innovational Cinematic Reality App for Apple Vision Pro in Healthcare Visualization

Siemens Healthineers has introduced a pioneering application for Apple Vision Pro, focused on enhancing visual experiences in healthcare with immersive, interactive holograms of human anatomy. This application offers significant utilities in surgical planning, medical training, and patient education by simplifying complex anatomical details into accessible, photorealistic holographic images. This innovation marks an important step in employing advanced visualization tools to bridge gaps in understanding human anatomy and medical procedures, aiming to enhance clinical outcomes and educational methods within the healthcare sector. [Published On: 2024-03-07]

Nvidia Introduces Innovative Cloud-Based APIs to Enhance AI Model Development in Medical Imaging

Nvidia unveiled a significant enhancement to its medical imaging capabilities by introducing cloud-based APIs. These APIs, an expansion of Nvidia's Monai framework, a major open-source initiative in medical imaging AI, aim to expedite developing and deploying AI models tailored explicitly for healthcare applications. Nvidia highlighted the potential of these APIs to accelerate development processes and ensure they are cost-effective and tailored to specific medical needs. Flywheel, RedBrick AI, and Dataiku are already adopting these new tools, signaling a strong initial uptake and the potential for widespread application across the healthcare imaging industry. [Published On: 2023-12-01]

iMerit Unveils Advanced Radiology Annotation Suite to Enhance Medical AI Development

iMerit has launched its Radiology Annotation Product Suite, an advanced addition housed within the comprehensive Ango Hub platform, aimed at streamlining and enhancing the processes involved in medical AI development focused on radiology. This suite provides a fully integrated service covering data sourcing, meticulous workflow design, cutting-edge annotation tools, and expert human intervention. With this innovation, iMerit aims to address the integral challenges faced by developers of medical AI by providing a robust solution that enhances data accuracy and accelerates time to production. [Published On: 2023-09-06]

Strategy Analysis & Recommendation

The strategic analysis is essential for organizations seeking a solid foothold in the global marketplace. Companies are better positioned to make informed decisions that align with their long-term aspirations by thoroughly evaluating their current standing in the Computer Vision in Healthcare Market. This critical assessment involves a thorough analysis of the organization's resources, capabilities, and overall performance to identify its core strengths and areas for improvement.

Key Company Profiles

The report delves into recent significant developments in the Computer Vision in Healthcare Market, highlighting leading vendors and their innovative profiles. These include Advanced Micro Devices, Inc., AiCure, LLC, Alteryx, Inc., Basler AG, Butterfly Network, Inc., Clarifai, Inc., Descartes Labs Inc., Enlitic, Inc., Fujitsu Limited, GE HealthCare Technologies Inc., Google LLC by Alphabet, Inc., iCAD Inc., Intel Corporation, International Business Machines Corporation, Iterative Health, Inc., Keyence Corporation, Microsoft Corporation, NVIDIA Corporation, Oxipit.ai, Shield AI, Tempus AI, Inc., Tensor Matics, Inc., and viso.ai AG.

Market Segmentation & Coverage

This research report categorizes the Computer Vision in Healthcare Market to forecast the revenues and analyze trends in each of the following sub-markets:

Component
- Hardware
  - Memory Devices
  - Networks
  - Processors

Services
Software

Technology
- Machine Learning
- Pattern Recognition
- Signal Processing

Application
- Medical Imaging & Diagnostics
- Patient Management & Monitoring
- Surgery

Deployment
- On-Cloud
- On-Premises

End-User
- Diagnostic Centers
- Healthcare Providers
- Research & Academia

Region
- Americas
  - Argentina
  - Brazil
  - Canada
  - Mexico
  - United States
    - California
    - Florida
    - Illinois
    - New York
    - Ohio
    - Pennsylvania
    - Texas
- Asia-Pacific
  - Australia
  - China
  - India
  - Indonesia
  - Japan
  - Malaysia
  - Philippines
  - Singapore
  - South Korea
  - Taiwan
  - Thailand
  - Vietnam

Europe, Middle East & Africa
- Denmark
- Egypt
- Finland
- France
- Germany
- Israel
- Italy
- Netherlands
- Nigeria
- Norway
- Poland
- Qatar
- Russia
- Saudi Arabia
- South Africa
- Spain
- Sweden
- Switzerland
- Turkey
- United Arab Emirates
- United Kingdom

Product Code: MRR-433AB1DC28BE

1. Preface

1.1. Objectives of the Study
1.2. Market Segmentation & Coverage
1.3. Years Considered for the Study
1.4. Currency & Pricing
1.5. Language
1.6. Stakeholders

2. Research Methodology

2.1. Define: Research Objective
2.2. Determine: Research Design
2.3. Prepare: Research Instrument
2.4. Collect: Data Source
2.5. Analyze: Data Interpretation
2.6. Formulate: Data Verification
2.7. Publish: Research Report
2.8. Repeat: Report Update

3. Executive Summary

4. Market Overview

5. Market Insights

5.1. Market Dynamics
- 5.1.1. Drivers
  - 5.1.1.1. Increasing need for quality inspection and automation in healthcare
  - 5.1.1.2. Growing focus on the adoption of telemedicine and virtual healthcare strategies to ease patient comfort and improve health
  - 5.1.1.3. Government support for improving the digital healthcare infrastructure
- 5.1.2. Restraints
  - 5.1.2.1. Complexity associated with integrating computer vision systems with medical devices
- 5.1.3. Opportunities
  - 5.1.3.1. Ongoing innovations to improve the reliability and performance of computer vision in healthcare
  - 5.1.3.2. Preference for personalized medicine strategies to manage complex disease conditions
- 5.1.4. Challenges
  - 5.1.4.1. Performance issues and privacy concerns associated with computer vision in healthcare
5.2. Market Segmentation Analysis
- 5.2.1. Component: Significant deployment of hardware for capturing high-quality data
- 5.2.2. End-User: Expanding the application of computer vision in diagnostic centers to reduce diagnostic errors
5.3. Market Disruption Analysis
5.4. Porter's Five Forces Analysis
- 5.4.1. Threat of New Entrants
- 5.4.2. Threat of Substitutes
- 5.4.3. Bargaining Power of Customers
- 5.4.4. Bargaining Power of Suppliers
- 5.4.5. Industry Rivalry
5.5. Value Chain & Critical Path Analysis
5.6. Pricing Analysis
5.7. Technology Analysis
5.8. Patent Analysis
5.9. Trade Analysis
5.10. Regulatory Framework Analysis

6. Computer Vision in Healthcare Market, by Component

6.1. Introduction
6.2. Hardware
6.3. Services
6.4. Software

7. Computer Vision in Healthcare Market, by Technology

7.1. Introduction
7.2. Machine Learning
7.3. Pattern Recognition
7.4. Signal Processing

8. Computer Vision in Healthcare Market, by Application

8.1. Introduction
8.2. Medical Imaging & Diagnostics
8.3. Patient Management & Monitoring
8.4. Surgery

9. Computer Vision in Healthcare Market, by Deployment

9.1. Introduction
9.2. On-Cloud
9.3. On-Premises

10. Computer Vision in Healthcare Market, by End-User

10.1. Introduction
10.2. Diagnostic Centers
10.3. Healthcare Providers
10.4. Research & Academia

11. Americas Computer Vision in Healthcare Market

11.1. Introduction
11.2. Argentina
11.3. Brazil
11.4. Canada
11.5. Mexico
11.6. United States

12. Asia-Pacific Computer Vision in Healthcare Market

12.1. Introduction
12.2. Australia
12.3. China
12.4. India
12.5. Indonesia
12.6. Japan
12.7. Malaysia
12.8. Philippines
12.9. Singapore
12.10. South Korea
12.11. Taiwan
12.12. Thailand
12.13. Vietnam

13. Europe, Middle East & Africa Computer Vision in Healthcare Market

13.1. Introduction
13.2. Denmark
13.3. Egypt
13.4. Finland
13.5. France
13.6. Germany
13.7. Israel
13.8. Italy
13.9. Netherlands
13.10. Nigeria
13.11. Norway
13.12. Poland
13.13. Qatar
13.14. Russia
13.15. Saudi Arabia
13.16. South Africa
13.17. Spain
13.18. Sweden
13.19. Switzerland
13.20. Turkey
13.21. United Arab Emirates
13.22. United Kingdom

14. Competitive Landscape

14.1. Market Share Analysis, 2023
14.2. FPNV Positioning Matrix, 2023
14.3. Competitive Scenario Analysis
- 14.3.1. Siemens Healthineers Unveils Innovational Cinematic Reality App for Apple Vision Pro in Healthcare Visualization
- 14.3.2. Nvidia Introduces Innovative Cloud-Based APIs to Enhance AI Model Development in Medical Imaging
- 14.3.3. iMerit Unveils Advanced Radiology Annotation Suite to Enhance Medical AI Development
14.4. Strategy Analysis & Recommendation

15. Competitive Portfolio

15.1. Key Company Profiles
15.2. Key Product Portfolio