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Global AI in Healthcare Market Research Report 2024

Global AI in Healthcare Market Research Report 2024

Publishing Date : Jan, 2024

License Type :
 

Report Code : 1804907

No of Pages : 104

Synopsis
Artificial intelligence (AI) in healthcare is the use of algorithms and software to approximate human cognition in the analysis of complex medical data.

The global AI in Healthcare market was valued at US$ 4039.2 million in 2023 and is anticipated to reach US$ 24220 million by 2030, witnessing a CAGR of 27.4% during the forecast period 2024-2030.

According to our research, the global market for medical devices is estimated at US$ 603 billion in the year 2023, and will be growing at a CAGR of 5% during next six years. The global healthcare spending contributes to occupy 10% of the global GDP and is continuously rising in recent years due to the increasing health needs of the aging population, the growing prevalence of chronic and infectious diseases and the expansion of emerging markets. The medical devices market plays a significant role in the healthcare industry. The market is driven by several factors, including the increasing demand for advanced healthcare services globally, advancements in medical technology, growing geriatric population, rising healthcare expenditure, and increasing awareness about early disease diagnosis and treatment.

This report aims to provide a comprehensive presentation of the global market for AI in Healthcare, with both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding AI in Healthcare.

Report Scope

The AI in Healthcare market size, estimations, and forecasts are provided in terms of revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. This report segments the global AI in

Healthcare market comprehensively. Regional market sizes, concerning products by Type, by Application, and by players, are also provided.
For a more in-depth understanding of the market, the report provides profiles of the competitive landscape, key competitors, and their respective market ranks. The report also discusses technological trends and new product developments.

The report will help the AI in Healthcare companies, new entrants, and industry chain related companies in this market with information on the revenues, sales volume, and average price for the overall market and the sub-segments across the different segments, by company, by Type, by Application, and by regions.

By Company

  • NVIDIA
  • Google
  • IBM
  • Microsoft
  • General Vision
  • Enlitic
  • Next IT
  • Welltok
  • ICarbonX
  • Recursion Pharmaceuticals
  • GE
  • Siemens
  • Johnson & Johnson
  • Medtronic
  • Careskore
  • Zephyr Health
  • Oncora Medical
  • Sentrian
  • Bay Labs
  • Deep Genomics
  • Cloudmedx

Segment by Type

  • Hardware
  • Software
  • Services

Segment by Application

  • Patient Data and Risk Analysis
  • Lifestyle Management and Monitoring
  • Precision Medicine
  • In-Patient Care and Hospital Management
  • Medical Imaging and Diagnosis
  • Drug Discovery
  • Virtual Assistant
  • Others

By Region

  • North America (United States, Canada)
  • Europe (Germany, France, U.K., Italy, Russia)
  • Asia-Pacific (China, Japan, South Korea, India, Australia, China Taiwan, Indonesia, Thailand, Malaysia)
  • Latin America (Mexico, Brazil, Argentina, Colombia)

Chapter Outline

Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by Type, by Application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter 2: Introduces executive summary of global market size, regional market size, this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter 3: Detailed analysis of AI in Healthcare companies’ competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 5: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 6, 7, 8, 9, 10: North America, Europe, Asia Pacific, Latin America, Middle East and Africa segment by country. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and capacity of each country in the world.
Chapter 11: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product sales, revenue, price, gross margin, product introduction, recent development, etc.
Chapter 12: The main points and conclusions of the report.

Index

1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global AI in Healthcare Market Size Growth Rate by Type: 2019 VS 2023 VS 2030
1.2.2 Hardware
1.2.3 Software
1.2.4 Services
1.3 Market by Application
1.3.1 Global AI in Healthcare Market Growth by Application: 2019 VS 2023 VS 2030
1.3.2 Patient Data and Risk Analysis
1.3.3 Lifestyle Management and Monitoring
1.3.4 Precision Medicine
1.3.5 In-Patient Care and Hospital Management
1.3.6 Medical Imaging and Diagnosis
1.3.7 Drug Discovery
1.3.8 Virtual Assistant
1.3.9 Others
1.4 Study Objectives
1.5 Years Considered
1.6 Years Considered
2 Global Growth Trends
2.1 Global AI in Healthcare Market Perspective (2019-2030)
2.2 AI in Healthcare Growth Trends by Region
2.2.1 Global AI in Healthcare Market Size by Region: 2019 VS 2023 VS 2030
2.2.2 AI in Healthcare Historic Market Size by Region (2019-2024)
2.2.3 AI in Healthcare Forecasted Market Size by Region (2025-2030)
2.3 AI in Healthcare Market Dynamics
2.3.1 AI in Healthcare Industry Trends
2.3.2 AI in Healthcare Market Drivers
2.3.3 AI in Healthcare Market Challenges
2.3.4 AI in Healthcare Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top AI in Healthcare Players by Revenue
3.1.1 Global Top AI in Healthcare Players by Revenue (2019-2024)
3.1.2 Global AI in Healthcare Revenue Market Share by Players (2019-2024)
3.2 Global AI in Healthcare Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Players Covered: Ranking by AI in Healthcare Revenue
3.4 Global AI in Healthcare Market Concentration Ratio
3.4.1 Global AI in Healthcare Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by AI in Healthcare Revenue in 2023
3.5 AI in Healthcare Key Players Head office and Area Served
3.6 Key Players AI in Healthcare Product Solution and Service
3.7 Date of Enter into AI in Healthcare Market
3.8 Mergers & Acquisitions, Expansion Plans
4 AI in Healthcare Breakdown Data by Type
4.1 Global AI in Healthcare Historic Market Size by Type (2019-2024)
4.2 Global AI in Healthcare Forecasted Market Size by Type (2025-2030)
5 AI in Healthcare Breakdown Data by Application
5.1 Global AI in Healthcare Historic Market Size by Application (2019-2024)
5.2 Global AI in Healthcare Forecasted Market Size by Application (2025-2030)
6 North America
6.1 North America AI in Healthcare Market Size (2019-2030)
6.2 North America AI in Healthcare Market Growth Rate by Country: 2019 VS 2023 VS 2030
6.3 North America AI in Healthcare Market Size by Country (2019-2024)
6.4 North America AI in Healthcare Market Size by Country (2025-2030)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe AI in Healthcare Market Size (2019-2030)
7.2 Europe AI in Healthcare Market Growth Rate by Country: 2019 VS 2023 VS 2030
7.3 Europe AI in Healthcare Market Size by Country (2019-2024)
7.4 Europe AI in Healthcare Market Size by Country (2025-2030)
7.5 Germany
7.6 France
7.7 U.K.
7.8 Italy
7.9 Russia
7.10 Nordic Countries
8 Asia-Pacific
8.1 Asia-Pacific AI in Healthcare Market Size (2019-2030)
8.2 Asia-Pacific AI in Healthcare Market Growth Rate by Region: 2019 VS 2023 VS 2030
8.3 Asia-Pacific AI in Healthcare Market Size by Region (2019-2024)
8.4 Asia-Pacific AI in Healthcare Market Size by Region (2025-2030)
8.5 China
8.6 Japan
8.7 South Korea
8.8 Southeast Asia
8.9 India
8.10 Australia
9 Latin America
9.1 Latin America AI in Healthcare Market Size (2019-2030)
9.2 Latin America AI in Healthcare Market Growth Rate by Country: 2019 VS 2023 VS 2030
9.3 Latin America AI in Healthcare Market Size by Country (2019-2024)
9.4 Latin America AI in Healthcare Market Size by Country (2025-2030)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa AI in Healthcare Market Size (2019-2030)
10.2 Middle East & Africa AI in Healthcare Market Growth Rate by Country: 2019 VS 2023 VS 2030
10.3 Middle East & Africa AI in Healthcare Market Size by Country (2019-2024)
10.4 Middle East & Africa AI in Healthcare Market Size by Country (2025-2030)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 NVIDIA
11.1.1 NVIDIA Company Detail
11.1.2 NVIDIA Business Overview
11.1.3 NVIDIA AI in Healthcare Introduction
11.1.4 NVIDIA Revenue in AI in Healthcare Business (2019-2024)
11.1.5 NVIDIA Recent Development
11.2 Google
11.2.1 Google Company Detail
11.2.2 Google Business Overview
11.2.3 Google AI in Healthcare Introduction
11.2.4 Google Revenue in AI in Healthcare Business (2019-2024)
11.2.5 Google Recent Development
11.3 IBM
11.3.1 IBM Company Detail
11.3.2 IBM Business Overview
11.3.3 IBM AI in Healthcare Introduction
11.3.4 IBM Revenue in AI in Healthcare Business (2019-2024)
11.3.5 IBM Recent Development
11.4 Microsoft
11.4.1 Microsoft Company Detail
11.4.2 Microsoft Business Overview
11.4.3 Microsoft AI in Healthcare Introduction
11.4.4 Microsoft Revenue in AI in Healthcare Business (2019-2024)
11.4.5 Microsoft Recent Development
11.5 General Vision
11.5.1 General Vision Company Detail
11.5.2 General Vision Business Overview
11.5.3 General Vision AI in Healthcare Introduction
11.5.4 General Vision Revenue in AI in Healthcare Business (2019-2024)
11.5.5 General Vision Recent Development
11.6 Enlitic
11.6.1 Enlitic Company Detail
11.6.2 Enlitic Business Overview
11.6.3 Enlitic AI in Healthcare Introduction
11.6.4 Enlitic Revenue in AI in Healthcare Business (2019-2024)
11.6.5 Enlitic Recent Development
11.7 Next IT
11.7.1 Next IT Company Detail
11.7.2 Next IT Business Overview
11.7.3 Next IT AI in Healthcare Introduction
11.7.4 Next IT Revenue in AI in Healthcare Business (2019-2024)
11.7.5 Next IT Recent Development
11.8 Welltok
11.8.1 Welltok Company Detail
11.8.2 Welltok Business Overview
11.8.3 Welltok AI in Healthcare Introduction
11.8.4 Welltok Revenue in AI in Healthcare Business (2019-2024)
11.8.5 Welltok Recent Development
11.9 ICarbonX
11.9.1 ICarbonX Company Detail
11.9.2 ICarbonX Business Overview
11.9.3 ICarbonX AI in Healthcare Introduction
11.9.4 ICarbonX Revenue in AI in Healthcare Business (2019-2024)
11.9.5 ICarbonX Recent Development
11.10 Recursion Pharmaceuticals
11.10.1 Recursion Pharmaceuticals Company Detail
11.10.2 Recursion Pharmaceuticals Business Overview
11.10.3 Recursion Pharmaceuticals AI in Healthcare Introduction
11.10.4 Recursion Pharmaceuticals Revenue in AI in Healthcare Business (2019-2024)
11.10.5 Recursion Pharmaceuticals Recent Development
11.11 GE
11.11.1 GE Company Detail
11.11.2 GE Business Overview
11.11.3 GE AI in Healthcare Introduction
11.11.4 GE Revenue in AI in Healthcare Business (2019-2024)
11.11.5 GE Recent Development
11.12 Siemens
11.12.1 Siemens Company Detail
11.12.2 Siemens Business Overview
11.12.3 Siemens AI in Healthcare Introduction
11.12.4 Siemens Revenue in AI in Healthcare Business (2019-2024)
11.12.5 Siemens Recent Development
11.13 Johnson & Johnson
11.13.1 Johnson & Johnson Company Detail
11.13.2 Johnson & Johnson Business Overview
11.13.3 Johnson & Johnson AI in Healthcare Introduction
11.13.4 Johnson & Johnson Revenue in AI in Healthcare Business (2019-2024)
11.13.5 Johnson & Johnson Recent Development
11.14 Medtronic
11.14.1 Medtronic Company Detail
11.14.2 Medtronic Business Overview
11.14.3 Medtronic AI in Healthcare Introduction
11.14.4 Medtronic Revenue in AI in Healthcare Business (2019-2024)
11.14.5 Medtronic Recent Development
11.15 Careskore
11.15.1 Careskore Company Detail
11.15.2 Careskore Business Overview
11.15.3 Careskore AI in Healthcare Introduction
11.15.4 Careskore Revenue in AI in Healthcare Business (2019-2024)
11.15.5 Careskore Recent Development
11.16 Zephyr Health
11.16.1 Zephyr Health Company Detail
11.16.2 Zephyr Health Business Overview
11.16.3 Zephyr Health AI in Healthcare Introduction
11.16.4 Zephyr Health Revenue in AI in Healthcare Business (2019-2024)
11.16.5 Zephyr Health Recent Development
11.17 Oncora Medical
11.17.1 Oncora Medical Company Detail
11.17.2 Oncora Medical Business Overview
11.17.3 Oncora Medical AI in Healthcare Introduction
11.17.4 Oncora Medical Revenue in AI in Healthcare Business (2019-2024)
11.17.5 Oncora Medical Recent Development
11.18 Sentrian
11.18.1 Sentrian Company Detail
11.18.2 Sentrian Business Overview
11.18.3 Sentrian AI in Healthcare Introduction
11.18.4 Sentrian Revenue in AI in Healthcare Business (2019-2024)
11.18.5 Sentrian Recent Development
11.19 Bay Labs
11.19.1 Bay Labs Company Detail
11.19.2 Bay Labs Business Overview
11.19.3 Bay Labs AI in Healthcare Introduction
11.19.4 Bay Labs Revenue in AI in Healthcare Business (2019-2024)
11.19.5 Bay Labs Recent Development
11.20 Deep Genomics
11.20.1 Deep Genomics Company Detail
11.20.2 Deep Genomics Business Overview
11.20.3 Deep Genomics AI in Healthcare Introduction
11.20.4 Deep Genomics Revenue in AI in Healthcare Business (2019-2024)
11.20.5 Deep Genomics Recent Development
11.21 Cloudmedx
11.21.1 Cloudmedx Company Detail
11.21.2 Cloudmedx Business Overview
11.21.3 Cloudmedx AI in Healthcare Introduction
11.21.4 Cloudmedx Revenue in AI in Healthcare Business (2019-2024)
11.21.5 Cloudmedx Recent Development
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.2 Data Source
13.2 Disclaimer
13.3 Author Details

Published By : QY Research

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