Artificial Intelligence in Healthcare Diagnosis Market by Component, Technology, Application, End-user

Description

List of Tables

[185 Pages Report] The Artificial Intelligence in Healthcare Diagnosis Market size was estimated at USD 2.10 billion in 2023 and expected to reach USD 2.53 billion in 2024, at a CAGR 21.23% to reach USD 8.08 billion by 2030.

Global Artificial Intelligence in Healthcare Diagnosis Market

KEY MARKET STATISTICS
Base Year [2023]	USD 2.10 billion
Estimated Year [2024]	USD 2.53 billion
Forecast Year [2030]	USD 8.08 billion
CAGR (%)	21.23%

Artificial Intelligence in Healthcare Diagnosis Market - IMG1

AI in healthcare diagnosis uses technologies, including ML, to process and analyze data related to medical diagnosis. The ability of artificial intelligence (AI) to quickly process enormous amounts of data, identify patterns, and make more accurate diagnoses promptly than doctors have increased the use of AI in healthcare diagnosis. The growing implementation of artificial intelligence and robotics in the healthcare sector, transfigurating medical science, and accelerating investments by government and private sectors in artificial intelligence, have been promoting the use of AI in healthcare diagnosis. However, the need for more trained professionals, expertise in artificial intelligence, and data privacy concerns about using AI in hospitals and clinics impede their utmost usage. Market players are focused on technological development and privacy updation of AI in imaging & diagnosis to overcome these limitations. By using artificial intelligence in healthcare diagnosis, medical professionals are able to take more informed decisions based on more accurate information while saving time, reducing costs, and improving medical records management.

Regional Insights

Europe is expected to see a vital increase in the use of AI in healthcare diagnosis, characterized by the increasing number of advances in healthcare diagnostic technologies held in the region and AI use initiatives developed by the public healthcare authorities. The Middle East region also witnesses a rise in the establishment of smart hospitals across Saudi Arabia, UAE, and Israel, driving the potential to use AI to diagnose diseases. The Americas is home to many established AI technology providers constantly working on expanding their healthcare knowledge to upgrade their existing portfolio. AI-based diagnostic devices and systems are widely used across the U.S. and Canada to attain real-time and faster results. The Asia-Pacific region observes a slow and steady increase in AI adoption of healthcare diagnosis, with many digital transformation initiatives, healthcare startups, and diagnostic laboratories obtaining new funds for breakthrough diagnostic solutions.

FPNV Positioning Matrix

The FPNV Positioning Matrix is pivotal in evaluating the Artificial Intelligence in Healthcare Diagnosis Market. It offers a comprehensive assessment of vendors, examining key metrics related to Business Strategy and Product Satisfaction. This in-depth analysis 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: 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 examination of the current state of vendors in the Artificial Intelligence in Healthcare Diagnosis Market. By meticulously comparing and analyzing vendor contributions in terms of overall revenue, customer base, and other key metrics, we can offer companies a greater understanding of their performance and the challenges they face when competing for market share. 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 this expanded level of detail, vendors can make more informed decisions and devise effective strategies to gain a competitive edge in the market.

Key Company Profiles

The report delves into recent significant developments in the Artificial Intelligence in Healthcare Diagnosis Market, highlighting leading vendors and their innovative profiles. These include Accenture PLC, Advanced Micro Devices, Inc, Aidence B.V., Aidoc Medical Ltd., Amazon Web Services, Inc., Apixo, Inc., Appinventiv Technologies Pvt. Ltd., Arterys Inc., Butterfly Network, Inc., Caption Health, Inc., CloudMedx Inc., Day Zero Diagnostics Inc., Digital Diagnostics Inc., EchoNous Inc., Enlitic, Inc, GE HealthCare Technologies Inc., Google LLC, HeartFlow, Inc., Intel Corporation, International Business Machines Corporation, Koninkliike Philips N.V., Lunit Inc., Medtronic PLC, Microsoft Corporation, Nano-X Imaging Ltd., NovaSignal Corporation, Nvidia Corporation, Prognos Health Inc., Siemens Healthcare Private Limited, SolutionChamps Technologies Pvt. Ltd., and Sophia Genetics S A.

Market Segmentation & Coverage

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

Component
- Hardware
- Services
- Software
Technology
- Computer Vision
- Context-Aware Computing
- Machine Learning
- Natural Language Processing
Application
- Cardiology
- Chest & Lung Scanning
- Neurology
- Oncology
- Pathology
- Radiology
End-user
- Academic Institutions & Research Center
- Diagnostic Center
- Hospitals
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

The report offers valuable insights on the following aspects:

1. Market Penetration: It presents comprehensive information on the market provided by key players.

2. Market Development: It delves deep into lucrative emerging markets and analyzes the penetration across mature market segments.

3. Market Diversification: It provides detailed information on new product launches, untapped geographic regions, recent developments, and investments.

4. Competitive Assessment & Intelligence: It conducts an exhaustive assessment of market shares, strategies, products, certifications, regulatory approvals, patent landscape, and manufacturing capabilities of the leading players.

5. Product Development & Innovation: It offers intelligent insights on future technologies, R&D activities, and breakthrough product developments.

The report addresses key questions such as:

1. What is the market size and forecast of the Artificial Intelligence in Healthcare Diagnosis Market?

2. Which products, segments, applications, and areas should one consider investing in over the forecast period in the Artificial Intelligence in Healthcare Diagnosis Market?

3. What are the technology trends and regulatory frameworks in the Artificial Intelligence in Healthcare Diagnosis Market?

4. What is the market share of the leading vendors in the Artificial Intelligence in Healthcare Diagnosis Market?

5. Which modes and strategic moves are suitable for entering the Artificial Intelligence in Healthcare Diagnosis Market?

Product Code: MRR-4103B31E0509

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. Limitations
1.7. Assumptions
1.8. 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

4.1. Introduction
4.2. Artificial Intelligence in Healthcare Diagnosis Market, by Region

5. Market Insights

5.1. Market Dynamics
- 5.1.1. Drivers
  - 5.1.1.1. Rising adoption of artificial intelligence in healthcare research areas
  - 5.1.1.2. Increasing adoption of advanced disease diagnostic solutions
  - 5.1.1.3. Growing potential for AI-based tools and software for the geriatric population
- 5.1.2. Restraints
  - 5.1.2.1. Shortage of trained professionals and expertise in artificial intelligence for the medical industry
- 5.1.3. Opportunities
  - 5.1.3.1. Accelerating investments by government and private sectors in artificial intelligence
  - 5.1.3.2. Proliferation in government approvals for AI-based healthcare diagnosis tools
- 5.1.4. Challenges
  - 5.1.4.1. Concern regarding medical data privacy and the guidelines for regulatory compliance
5.2. Market Segmentation Analysis
5.3. Market Trend Analysis
5.4. Cumulative Impact of High Inflation
5.5. Porter's Five Forces Analysis
- 5.5.1. Threat of New Entrants
- 5.5.2. Threat of Substitutes
- 5.5.3. Bargaining Power of Customers
- 5.5.4. Bargaining Power of Suppliers
- 5.5.5. Industry Rivalry
5.6. Value Chain & Critical Path Analysis
5.7. Regulatory Framework

6. Artificial Intelligence in Healthcare Diagnosis Market, by Component

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

7. Artificial Intelligence in Healthcare Diagnosis Market, by Technology

7.1. Introduction
7.2. Computer Vision
7.3. Context-Aware Computing
7.4. Machine Learning
7.5. Natural Language Processing

8. Artificial Intelligence in Healthcare Diagnosis Market, by Application

8.1. Introduction
8.2. Cardiology
8.3. Chest & Lung Scanning
8.4. Neurology
8.5. Oncology
8.6. Pathology
8.7. Radiology

9. Artificial Intelligence in Healthcare Diagnosis Market, by End-user

9.1. Introduction
9.2. Academic Institutions & Research Center
9.3. Diagnostic Center
9.4. Hospitals

10. Americas Artificial Intelligence in Healthcare Diagnosis Market

10.1. Introduction
10.2. Argentina
10.3. Brazil
10.4. Canada
10.5. Mexico
10.6. United States

11. Asia-Pacific Artificial Intelligence in Healthcare Diagnosis Market

11.1. Introduction
11.2. Australia
11.3. China
11.4. India
11.5. Indonesia
11.6. Japan
11.7. Malaysia
11.8. Philippines
11.9. Singapore
11.10. South Korea
11.11. Taiwan
11.12. Thailand
11.13. Vietnam

12. Europe, Middle East & Africa Artificial Intelligence in Healthcare Diagnosis Market

12.1. Introduction
12.2. Denmark
12.3. Egypt
12.4. Finland
12.5. France
12.6. Germany
12.7. Israel
12.8. Italy
12.9. Netherlands
12.10. Nigeria
12.11. Norway
12.12. Poland
12.13. Qatar
12.14. Russia
12.15. Saudi Arabia
12.16. South Africa
12.17. Spain
12.18. Sweden
12.19. Switzerland
12.20. Turkey
12.21. United Arab Emirates
12.22. United Kingdom

13. Competitive Landscape

13.1. FPNV Positioning Matrix
13.2. Market Share Analysis, By Key Player
13.3. Competitive Scenario Analysis, By Key Player
- 13.3.1. Merger & Acquisition
  - 13.3.1.1. Bayer Acquires British Medical Imaging AI Developer Blackford
  - 13.3.1.2. Beckman Coulter Acquires Artificial Intelligence Company Providing Evidence-Based Clinical Decision Support for Emergency Departments
- 13.3.2. Agreement, Collaboration, & Partnership
  - 13.3.2.1. Microsoft Signs First AI Healthcare Partnership in Vietnam
  - 13.3.2.2. Mayo Clinic Expands Artificial Intelligence-Enabled Diagnostics Partnership
- 13.3.3. New Product Launch & Enhancement
  - 13.3.3.1. CLIRNET Launches India's First AI-Powered Doctor's Assistant (AiDA)
  - 13.3.3.2. Philips Highlights AI-Powered Integrated Diagnostics at ECR
- 13.3.4. Investment & Funding
  - 13.3.4.1. UK Government Invests GBP 16 Million in AI Healthcare Technologies to Help Speed Up Diagnostics
  - 13.3.4.2. AI Medical Imaging Startup Qritive Raises USD 7.5 Million in Latest Funding
- 13.3.5. Award, Recognition, & Expansion
  - 13.3.5.1. Vuno Gets US Patent for AI Medical Image Analysis Technology
  - 13.3.5.2. RadNet Receives FDA Clearance for Cancer Detection Algorithms

14. Competitive Portfolio

14.1. Key Company Profiles
- 14.1.1. Accenture PLC
- 14.1.2. Advanced Micro Devices, Inc
- 14.1.3. Aidence B.V.
- 14.1.4. Aidoc Medical Ltd.
- 14.1.5. Amazon Web Services, Inc.
- 14.1.6. Apixo, Inc.
- 14.1.7. Appinventiv Technologies Pvt. Ltd.
- 14.1.8. Arterys Inc.
- 14.1.9. Butterfly Network, Inc.
- 14.1.10. Caption Health, Inc.
- 14.1.11. CloudMedx Inc.
- 14.1.12. Day Zero Diagnostics Inc.
- 14.1.13. Digital Diagnostics Inc.
- 14.1.14. EchoNous Inc.
- 14.1.15. Enlitic, Inc
- 14.1.16. GE HealthCare Technologies Inc.
- 14.1.17. Google LLC
- 14.1.18. HeartFlow, Inc.
- 14.1.19. Intel Corporation
- 14.1.20. International Business Machines Corporation
- 14.1.21. Koninkliike Philips N.V.
- 14.1.22. Lunit Inc.
- 14.1.23. Medtronic PLC
- 14.1.24. Microsoft Corporation
- 14.1.25. Nano-X Imaging Ltd.
- 14.1.26. NovaSignal Corporation
- 14.1.27. Nvidia Corporation
- 14.1.28. Prognos Health Inc.
- 14.1.29. Siemens Healthcare Private Limited
- 14.1.30. SolutionChamps Technologies Pvt. Ltd.
- 14.1.31. Sophia Genetics S A
14.2. Key Product Portfolio

15. Appendix

15.1. Discussion Guide
15.2. License & Pricing