← 產業報告目錄
Generative AI (GenAI) in Digital Health Market Size, Share & Trends Analysis Report By Deployment (Cloud-based, On-premises, Hybrid, Edge Computing), By Technology – Natural Language Processing (NLP), Machine Learning (ML), Predictive Analytics, Deep Learning (DL)), By Application (Drug Discovery and Development, Virtual Health Assistants, Personalized Medicine, Diagnostic Tools and Imaging), By End-User, by Region, And by Segment Forecasts, 2025-2034.
出版商 InsightAce Analytic產業別 Healthcare & Life Sciences出版日期 2026-01-05頁數 170報告編號 INSIGHTACE-cc31b6fab1
授權報價
| Single User PDF | $4,500 USD |
| Global Site License PDF | $9,500 USD |
報告摘要
With a 2024 valuation of USD 1.6 Bn, the global Generative AI (GenAI) in Digital Health Market is poised to advance to USD 33.7 Bn by 2034, demonstrating a CAGR of 36.5% during the 2025–2034 forecast window.
The Generative AI (GenAI) in Digital Health sector involves dynamics.
Market momentum is propelled by rising interest in advanced solutions, favorable regulatory frameworks, and robust investment in research and development across major economies.
The market landscape is structured across several key segments—spanning type, application, distribution channel, and region—each contributing uniquely to overall market expansion.
Geographically, North America maintains a leading position owing to advanced infrastructure, high R&D expenditure, and a well-established regulatory environment. Meanwhile, Asia-Pacific is emerging as the fastest-growing region, propelled by rapid industrialization and expanding end-user bases.
Industry participants are deploying a range of strategies—including partnerships, mergers, technological investments, and portfolio diversification—to consolidate their market standing.
This comprehensive research study delivers granular insights into market sizing, trend analysis, competitive benchmarking, and forward-looking projections to support strategic decision-making for industry participants and investors.
目錄 Table of Contents
Chapter 1. Methodology and Scope
1.1. Research Methodology
1.2. Research Scope & Assumptions
Chapter 2. Executive Summary
Chapter 3. Global Generative AI (GenAI) in Digital Health Market Snapshot
Chapter 4. Global Generative AI (GenAI) in Digital Health Market Variables, Trends & Scope
4.1. Market Segmentation & Scope
4.2. Drivers
4.3. Challenges
4.4. Trends
4.5. Investment and Funding Analysis
4.6. Porter's Five Forces Analysis
4.7. Incremental Opportunity Analysis (US$ MN), 2024-2034
4.8. Competitive Landscape & Market Share Analysis, By Key Player (2023)
4.9. Use/impact of AI on Generative AI (GenAI) in Digital Health Industry Trends
4.10. Global Generative AI (GenAI) in Digital Health Market Penetration & Growth Prospect Mapping (US$ Mn), 2021-2034
Chapter 5. Generative AI (GenAI) in Digital Health Market Segmentation 1: By Deployment, Estimates & Trend Analysis
5.1. Market Share by Deployment, 2024 & 2034
5.2. Market Size Revenue (US$ Million) & Forecasts and Trend Analyses, 2021 to 2034 for the following Deployment:
5.2.1. Cloud-based Solutions
5.2.2. On-premises Solutions
5.2.3. Hybrid Solutions
5.2.4. Edge Computing Applications
Chapter 6. Generative AI (GenAI) in Digital Health Market Segmentation 2: By Technology, Estimates & Trend Analysis
6.1. Market Share by Technology, 2024 & 2034
6.2. Market Size Revenue (US$ Million) & Forecasts and Trend Analyses, 2021 to 2034 for the following Technology:
6.2.1. Natural Language Processing (NLP)
6.2.2. Machine Learning (ML)
6.2.3. Deep Learning (DL)
6.2.4. Predictive Analytics
Chapter 7. Generative AI (GenAI) in Digital Health Market Segmentation 3: By Application, Estimates & Trend Analysis
7.1. Market Share by Application, 2024 & 2034
7.2. Market Size Revenue (US$ Million) & Forecasts and Trend Analyses, 2021 to 2034 for the following Application:
7.2.1. Drug Discovery and Development
7.2.2. Personalized Medicine
7.2.3. Diagnostic Tools and Imaging
7.2.4. Virtual Health Assistants
Chapter 8. Generative AI (GenAI) in Digital Health Market Segmentation 4: By End User, Estimates & Trend Analysis
8.1. Market Share by End User, 2024 & 2034
8.2. Market Size Revenue (US$ Million) & Forecasts and Trend Analyses, 2021 to 2034 for the following End User:
8.2.1. Hospitals and Clinics
8.2.2. Pharmaceutical Companies
8.2.3. Research Institutes
8.2.4. Diagnostic Centers
Chapter 9. Generative AI (GenAI) in Digital Health Market Segmentation 5: Regional Estimates & Trend Analysis
9.1. Global Generative AI (GenAI) in Digital Health Market, Regional Snapshot 2024 & 2034
9.2. North America
9.2.1. North America Generative AI (GenAI) in Digital Health Market Revenue (US$ Million) Estimates and Forecasts by Country, 2021-2034
9.2.1.1. US
9.2.1.2. Canada
9.2.2. North America Generative AI (GenAI) in Digital Health Market Revenue (US$ Million) Estimates and Forecasts by Deployment, 2021-2034
9.2.3. North America Generative AI (GenAI) in Digital Health Market Revenue (US$ Million) Estimates and Forecasts by Technology, 2021-2034
9.2.4. North America Generative AI (GenAI) in Digital Health Market Revenue (US$ Million) Estimates and Forecasts by Application, 2021-2034
9.2.5. North America Generative AI (GenAI) in Digital Health Market Revenue (US$ Million) Estimates and Forecasts by End User, 2021-2034
9.3. Europe
9.3.1. Europe Generative AI (GenAI) in Digital Health Market Revenue (US$ Million) Estimates and Forecasts by Country, 2021-2034
9.3.1.1. Germany
9.3.1.2. U.K.
9.3.1.3. France
9.3.1.4. Italy
9.3.1.5. Spain
9.3.1.6. Rest of Europe
9.3.2. Europe Generative AI (GenAI) in Digital Health Market Revenue (US$ Million) Estimates and Forecasts by Deployment, 2021-2034
9.3.3. Europe Generative AI (GenAI) in Digital Health Market Revenue (US$ Million) Estimates and Forecasts by Technology, 2021-2034
9.3.4. Europe Generative AI (GenAI) in Digital Health Market Revenue (US$ Million) Estimates and Forecasts by Application, 2021-2034
9.3.5. Europe Generative AI (GenAI) in Digital Health Market Revenue (US$ Million) Estimates and Forecasts by End User, 2021-2034
9.4. Asia Pacific
9.4.1. Asia Pacific Generative AI (GenAI) in Digital Health Market Revenue (US$ Million) Estimates and Forecasts by Country, 2021-2034
9.4.1.1. India
9.4.1.2. China
9.4.1.3. Japan
9.4.1.4. Australia
9.4.1.5. South Korea
9.4.1.6. Hong Kong
9.4.1.7. Southeast Asia
9.4.1.8. Rest of Asia Pacific
9.4.2. Asia Pacific Generative AI (GenAI) in Digital Health Market Revenue (US$ Million) Estimates and Forecasts by Deployment, 2021-2034
9.4.3. Asia Pacific Generative AI (GenAI) in Digital Health Market Revenue (US$ Million) Estimates and Forecasts by Technology, 2021-2034
9.4.4. Asia Pacific Generative AI (GenAI) in Digital Health Market Revenue (US$ Million) Estimates and Forecasts by Application, 2021-2034
9.4.5. Asia Pacific Generative AI (GenAI) in Digital Health Market Revenue (US$ Million) Estimates and Forecasts by End User, 2021-2034
9.5. Latin America
9.5.1. Latin America Generative AI (GenAI) in Digital Health Market Revenue (US$ Million) Estimates and Forecasts by Country, 2021-2034
9.5.1.1. Brazil
9.5.1.2. Mexico
9.5.1.3. Rest of Latin America
9.5.2. Latin America Generative AI (GenAI) in Digital Health Market Revenue (US$ Million) Estimates and Forecasts by Deployment, 2021-2034
9.5.3. Latin America Generative AI (GenAI) in Digital Health Market Revenue (US$ Million) Estimates and Forecasts by Technology, 2021-2034
9.5.4. Latin America Generative AI (GenAI) in Digital Health Market Revenue (US$ Million) Estimates and Forecasts by Application, 2021-2034
9.5.5. Latin America Generative AI (GenAI) in Digital Health Market Revenue (US$ Million) Estimates and Forecasts by End User, 2021-2034
9.6. Middle East & Africa
9.6.1. Middle East & Africa Wind Turbine Rotor Blade Market Revenue (US$ Million) Estimates and Forecasts by country, 2021-2034
9.6.1.1. GCC Countries
9.6.1.2. Israel
9.6.1.3. South Africa
9.6.1.4. Rest of Middle East and Africa
9.6.2. Middle East & Africa Generative AI (GenAI) in Digital Health Market Revenue (US$ Million) Estimates and Forecasts by Deployment, 2021-2034
9.6.3. Middle East & Africa Generative AI (GenAI) in Digital Health Market Revenue (US$ Million) Estimates and Forecasts by Technology, 2021-2034
9.6.4. Middle East & Africa Generative AI (GenAI) in Digital Health Market Revenue (US$ Million) Estimates and Forecasts by Application, 2021-2034
9.6.5. Middle East & Africa Generative AI (GenAI) in Digital Health Market Revenue (US$ Million) Estimates and Forecasts by End User, 2021-2034
Chapter 10. Competitive Landscape
10.1. Major Mergers and Acquisitions/Strategic Alliances
10.2. Company Profiles
10.2.1. F. IBM Watson Health
10.2.1.1. Business Overview
10.2.1.2. Key Deployment/Service Overview
10.2.1.3. Financial Performance
10.2.1.4. Geographical Presence
10.2.1.5. Recent Developments with Business Strategy
10.2.2. NVIDIA Corporation
10.2.3. Siemens Healthineers
10.2.4. Philips Healthcare
10.2.5. Intel Corporation
10.2.6. Microsoft Corporation
10.2.7. Google (Alphabet Inc.) - Google Health
10.2.8. Aidoc Medical
10.2.9. Butterfly Network
10.2.10. Tempus Labs
10.2.11. PathAI
10.2.12. Zebra Medical Vision
10.2.13. Tempus
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