Product Code: MRR-031BF22F9551
[181 Pages Report] The Artificial Intelligence in Healthcare Market size was estimated at USD 25.91 billion in 2023 and expected to reach USD 32.48 billion in 2024, at a CAGR 26.95% to reach USD 137.74 billion by 2030.
Global Artificial Intelligence in Healthcare Market
KEY MARKET STATISTICS |
Base Year [2023] |
USD 25.91 billion |
Estimated Year [2024] |
USD 32.48 billion |
Forecast Year [2030] |
USD 137.74 billion |
CAGR (%) |
26.95% |
FPNV Positioning Matrix
The FPNV Positioning Matrix is pivotal in evaluating the Artificial Intelligence in Healthcare 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 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 Market, highlighting leading vendors and their innovative profiles. These include Ada Health GmbH, AiCure, LLC, AllStripes Research Inc., Arterys Inc., Aspen Technology Inc. by Emerson Electric Co., Atomwise Inc., Augmedix, Inc., Babylon GP, Behold.ai Technologies Limited, Berg LLC, Binah.ai, BioSymetrics Inc., Butterfly Network, Inc., Caption Health, Inc. by GE Healthcare, Clarius Mobile Health Corp., Clinithink Limited, ClosedLoop, CloudMedX Inc., Corti ApS, Cyrcardia Asia Limited, Datature.io, Deep Genomics Incorporated, Diabeloop SA, Enlitic, Inc., General Vision Inc., Google, LLC by Alphabet, Inc., iCarbonX, Intel Corporation, International Business Machines Corporation, Koninklijke Philips N.V., Medasense Biometrics Ltd., Microsoft Corporation, Modernizing Medicine, Inc., Nanox Imaging Ltd., NetBase Quid, Inc., Novo Nordisk A/S, NVIDIA Corporation, Oncora Medical, Oracle Corporation, Owkin, Inc., Oxipit.ai, Recursion Pharmaceuticals, Sanofi SA, Sensely, Inc., Shanghai Yitu Technology Co., Ltd., Siemens Healthineers AG, SkinvVision B.V., Subtle Medical, Inc., Turbine Ltd., and Woebot Health.
Market Segmentation & Coverage
This research report categorizes the Artificial Intelligence in Healthcare Market to forecast the revenues and analyze trends in each of the following sub-markets:
- Technology
- Computer Vision
- Context-Aware Computing
- Machine Learning
- Natural Language Processing
- Querying Method
- Offering
- Hardware
- Memory
- Network
- Processor
- Application-Specific Integrated Circuit
- Field Programmable Gate Arrays
- Graphics Processing Unit
- Memory Protection Unit
- Services
- Deployment & Integration
- Support & Maintenance
- Software
- Application
- Clinical Trial Participant Identifier
- Cybersecurity
- Drug Discovery
- Emergency Room & Robot-Assisted Surgery
- Fraud Detection
- Healthcare Assistance Robots
- Inpatient Care & Hospital Management
- Lifestyle Management & Monitoring
- Medical Imaging & Diagnostics
- Patient Data & Risk Analysis
- Precision Medicine
- Research
- Virtual Assistant
- Wearables
- End User
- Healthcare Payers
- Hospitals & Providers
- Patients
- Pharmaceutical & Biotechnology Companies
- 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 Market?
2. Which products, segments, applications, and areas should one consider investing in over the forecast period in the Artificial Intelligence in Healthcare Market?
3. What are the technology trends and regulatory frameworks in the Artificial Intelligence in Healthcare Market?
4. What is the market share of the leading vendors in the Artificial Intelligence in Healthcare Market?
5. Which modes and strategic moves are suitable for entering the Artificial Intelligence in Healthcare Market?
Table of Contents
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 Market, by Region
5. Market Insights
- 5.1. Market Dynamics
- 5.1.1. Drivers
- 5.1.1.1. Increasing implementation of artificial intelligence and robotics transfigure the healthcare industry
- 5.1.1.2. Accelerating investments by government and private sectors in artificial intelligence
- 5.1.1.3. Growing potential for AI-based tools and software for 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. Rising technological development of AI in drug discovery, genomics and imaging and diagnosis
- 5.1.3.2. Rising number of amalgamation activities among different domains in healthcare
- 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 Market, by Technology
- 6.1. Introduction
- 6.2. Computer Vision
- 6.3. Context-Aware Computing
- 6.4. Machine Learning
- 6.5. Natural Language Processing
- 6.6. Querying Method
7. Artificial Intelligence in Healthcare Market, by Offering
- 7.1. Introduction
- 7.2. Hardware
- 7.3.1. Memory
- 7.3.2. Network
- 7.3.3. Processor
- 7.3.4.1. Application-Specific Integrated Circuit
- 7.3.4.2. Field Programmable Gate Arrays
- 7.3.4.3. Graphics Processing Unit
- 7.3.4.4. Memory Protection Unit
- 7.3. Services
- 7.4.1. Deployment & Integration
- 7.4.2. Support & Maintenance
- 7.4. Software
8. Artificial Intelligence in Healthcare Market, by Application
- 8.1. Introduction
- 8.2. Clinical Trial Participant Identifier
- 8.3. Cybersecurity
- 8.4. Drug Discovery
- 8.5. Emergency Room & Robot-Assisted Surgery
- 8.6. Fraud Detection
- 8.7. Healthcare Assistance Robots
- 8.8. Inpatient Care & Hospital Management
- 8.9. Lifestyle Management & Monitoring
- 8.10. Medical Imaging & Diagnostics
- 8.11. Patient Data & Risk Analysis
- 8.12. Precision Medicine
- 8.13. Research
- 8.14. Virtual Assistant
- 8.15. Wearables
9. Artificial Intelligence in Healthcare Market, by End User
- 9.1. Introduction
- 9.2. Healthcare Payers
- 9.3. Hospitals & Providers
- 9.4. Patients
- 9.5. Pharmaceutical & Biotechnology Companies
10. Americas Artificial Intelligence in Healthcare 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 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 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. Artificial Intelligence in Healthcare: The Impact of Envision Pharma Group's Acquisition of OKRA AI
14. Competitive Portfolio
- 14.1. Key Company Profiles
- 14.1.1. Ada Health GmbH
- 14.1.2. AiCure, LLC
- 14.1.3. AllStripes Research Inc.
- 14.1.4. Arterys Inc.
- 14.1.5. Aspen Technology Inc. by Emerson Electric Co.
- 14.1.6. Atomwise Inc.
- 14.1.7. Augmedix, Inc.
- 14.1.8. Babylon GP
- 14.1.9. Behold.ai Technologies Limited
- 14.1.10. Berg LLC
- 14.1.11. Binah.ai
- 14.1.12. BioSymetrics Inc.
- 14.1.13. Butterfly Network, Inc.
- 14.1.14. Caption Health, Inc. by GE Healthcare
- 14.1.15. Clarius Mobile Health Corp.
- 14.1.16. Clinithink Limited
- 14.1.17. ClosedLoop
- 14.1.18. CloudMedX Inc.
- 14.1.19. Corti ApS
- 14.1.20. Cyrcardia Asia Limited
- 14.1.21. Datature.io
- 14.1.22. Deep Genomics Incorporated
- 14.1.23. Diabeloop SA
- 14.1.24. Enlitic, Inc.
- 14.1.25. General Vision Inc.
- 14.1.26. Google, LLC by Alphabet, Inc.
- 14.1.27. iCarbonX
- 14.1.28. Intel Corporation
- 14.1.29. International Business Machines Corporation
- 14.1.30. Koninklijke Philips N.V.
- 14.1.31. Medasense Biometrics Ltd.
- 14.1.32. Microsoft Corporation
- 14.1.33. Modernizing Medicine, Inc.
- 14.1.34. Nanox Imaging Ltd.
- 14.1.35. NetBase Quid, Inc.
- 14.1.36. Novo Nordisk A/S
- 14.1.37. NVIDIA Corporation
- 14.1.38. Oncora Medical
- 14.1.39. Oracle Corporation
- 14.1.40. Owkin, Inc.
- 14.1.41. Oxipit.ai
- 14.1.42. Recursion Pharmaceuticals
- 14.1.43. Sanofi SA
- 14.1.44. Sensely, Inc.
- 14.1.45. Shanghai Yitu Technology Co., Ltd.
- 14.1.46. Siemens Healthineers AG
- 14.1.47. SkinvVision B.V.
- 14.1.48. Subtle Medical, Inc.
- 14.1.49. Turbine Ltd.
- 14.1.50. Woebot Health
- 14.2. Key Product Portfolio
15. Appendix
- 15.1. Discussion Guide
- 15.2. License & Pricing