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Global AI in Patient Management Market Research Report 2024
Synopsis
The global AI in Patient Management market was valued at US$ 153 million in 2023 and is anticipated to reach US$ 603.1 million by 2030, witnessing a CAGR of 16.2% during the forecast period 2024-2030.
Efficiency and Automation: AI can streamline patient management processes, automate routine tasks, and enhance overall operational efficiency in healthcare settings.
Diagnostic Accuracy: AI applications can improve diagnostic accuracy by analyzing medical data, images, and patient records, leading to more precise and timely diagnoses.
This report aims to provide a comprehensive presentation of the global market for AI in Patient Management, 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 Patient Management.
Report Scope
The AI in Patient Management 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 Patient Management 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 Patient Management 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.
Market Segmentation
By Company
Welltok, Inc. (Virgin Pulse)
Intel Corporation
Nvidia Corporation
Google Inc.
IBM Corporation
Microsoft Corporation
General Vision, Inc.
Enlitic, Inc.
Next IT Corporation
iCarbonX
Octopus.Health
Sweetch Health Ltd.
Superwise.ai
Segment by Type
Hardware
Software and Services
Segment by Application
Health Record Analysis
Pattern Analysis
Location Based Analysis
Social Background
History Based Appointment Generation
Others
By Region
North America
United States
Canada
Europe
Germany
France
UK
Italy
Russia
Nordic Countries
Rest of Europe
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA
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 Patient Management 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.
The global AI in Patient Management market was valued at US$ 153 million in 2023 and is anticipated to reach US$ 603.1 million by 2030, witnessing a CAGR of 16.2% during the forecast period 2024-2030.
Efficiency and Automation: AI can streamline patient management processes, automate routine tasks, and enhance overall operational efficiency in healthcare settings.
Diagnostic Accuracy: AI applications can improve diagnostic accuracy by analyzing medical data, images, and patient records, leading to more precise and timely diagnoses.
This report aims to provide a comprehensive presentation of the global market for AI in Patient Management, 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 Patient Management.
Report Scope
The AI in Patient Management 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 Patient Management 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 Patient Management 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.
Market Segmentation
By Company
Welltok, Inc. (Virgin Pulse)
Intel Corporation
Nvidia Corporation
Google Inc.
IBM Corporation
Microsoft Corporation
General Vision, Inc.
Enlitic, Inc.
Next IT Corporation
iCarbonX
Octopus.Health
Sweetch Health Ltd.
Superwise.ai
Segment by Type
Hardware
Software and Services
Segment by Application
Health Record Analysis
Pattern Analysis
Location Based Analysis
Social Background
History Based Appointment Generation
Others
By Region
North America
United States
Canada
Europe
Germany
France
UK
Italy
Russia
Nordic Countries
Rest of Europe
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA
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 Patient Management 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.
Index1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global AI in Patient Management Market Size Growth Rate by Type: 2019 VS 2023 VS 2030
1.2.2 Hardware
1.2.3 Software and Services
1.3 Market by Application
1.3.1 Global AI in Patient Management Market Growth by Application: 2019 VS 2023 VS 2030
1.3.2 Health Record Analysis
1.3.3 Pattern Analysis
1.3.4 Location Based Analysis
1.3.5 Social Background
1.3.6 History Based Appointment Generation
1.3.7 Others
1.4 Study Objectives
1.5 Years Considered
1.6 Years Considered
2 Global Growth Trends
2.1 Global AI in Patient Management Market Perspective (2019-2030)
2.2 AI in Patient Management Growth Trends by Region
2.2.1 Global AI in Patient Management Market Size by Region: 2019 VS 2023 VS 2030
2.2.2 AI in Patient Management Historic Market Size by Region (2019-2024)
2.2.3 AI in Patient Management Forecasted Market Size by Region (2025-2030)
2.3 AI in Patient Management Market Dynamics
2.3.1 AI in Patient Management Industry Trends
2.3.2 AI in Patient Management Market Drivers
2.3.3 AI in Patient Management Market Challenges
2.3.4 AI in Patient Management Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top AI in Patient Management Players by Revenue
3.1.1 Global Top AI in Patient Management Players by Revenue (2019-2024)
3.1.2 Global AI in Patient Management Revenue Market Share by Players (2019-2024)
3.2 Global AI in Patient Management Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Players Covered: Ranking by AI in Patient Management Revenue
3.4 Global AI in Patient Management Market Concentration Ratio
3.4.1 Global AI in Patient Management Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by AI in Patient Management Revenue in 2023
3.5 AI in Patient Management Key Players Head office and Area Served
3.6 Key Players AI in Patient Management Product Solution and Service
3.7 Date of Enter into AI in Patient Management Market
3.8 Mergers & Acquisitions, Expansion Plans
4 AI in Patient Management Breakdown Data by Type
4.1 Global AI in Patient Management Historic Market Size by Type (2019-2024)
4.2 Global AI in Patient Management Forecasted Market Size by Type (2025-2030)
5 AI in Patient Management Breakdown Data by Application
5.1 Global AI in Patient Management Historic Market Size by Application (2019-2024)
5.2 Global AI in Patient Management Forecasted Market Size by Application (2025-2030)
6 North America
6.1 North America AI in Patient Management Market Size (2019-2030)
6.2 North America AI in Patient Management Market Growth Rate by Country: 2019 VS 2023 VS 2030
6.3 North America AI in Patient Management Market Size by Country (2019-2024)
6.4 North America AI in Patient Management Market Size by Country (2025-2030)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe AI in Patient Management Market Size (2019-2030)
7.2 Europe AI in Patient Management Market Growth Rate by Country: 2019 VS 2023 VS 2030
7.3 Europe AI in Patient Management Market Size by Country (2019-2024)
7.4 Europe AI in Patient Management 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 Patient Management Market Size (2019-2030)
8.2 Asia-Pacific AI in Patient Management Market Growth Rate by Region: 2019 VS 2023 VS 2030
8.3 Asia-Pacific AI in Patient Management Market Size by Region (2019-2024)
8.4 Asia-Pacific AI in Patient Management 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 Patient Management Market Size (2019-2030)
9.2 Latin America AI in Patient Management Market Growth Rate by Country: 2019 VS 2023 VS 2030
9.3 Latin America AI in Patient Management Market Size by Country (2019-2024)
9.4 Latin America AI in Patient Management Market Size by Country (2025-2030)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa AI in Patient Management Market Size (2019-2030)
10.2 Middle East & Africa AI in Patient Management Market Growth Rate by Country: 2019 VS 2023 VS 2030
10.3 Middle East & Africa AI in Patient Management Market Size by Country (2019-2024)
10.4 Middle East & Africa AI in Patient Management Market Size by Country (2025-2030)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 Welltok, Inc. (Virgin Pulse)
11.1.1 Welltok, Inc. (Virgin Pulse) Company Detail
11.1.2 Welltok, Inc. (Virgin Pulse) Business Overview
11.1.3 Welltok, Inc. (Virgin Pulse) AI in Patient Management Introduction
11.1.4 Welltok, Inc. (Virgin Pulse) Revenue in AI in Patient Management Business (2019-2024)
11.1.5 Welltok, Inc. (Virgin Pulse) Recent Development
11.2 Intel Corporation
11.2.1 Intel Corporation Company Detail
11.2.2 Intel Corporation Business Overview
11.2.3 Intel Corporation AI in Patient Management Introduction
11.2.4 Intel Corporation Revenue in AI in Patient Management Business (2019-2024)
11.2.5 Intel Corporation Recent Development
11.3 Nvidia Corporation
11.3.1 Nvidia Corporation Company Detail
11.3.2 Nvidia Corporation Business Overview
11.3.3 Nvidia Corporation AI in Patient Management Introduction
11.3.4 Nvidia Corporation Revenue in AI in Patient Management Business (2019-2024)
11.3.5 Nvidia Corporation Recent Development
11.4 Google Inc.
11.4.1 Google Inc. Company Detail
11.4.2 Google Inc. Business Overview
11.4.3 Google Inc. AI in Patient Management Introduction
11.4.4 Google Inc. Revenue in AI in Patient Management Business (2019-2024)
11.4.5 Google Inc. Recent Development
11.5 IBM Corporation
11.5.1 IBM Corporation Company Detail
11.5.2 IBM Corporation Business Overview
11.5.3 IBM Corporation AI in Patient Management Introduction
11.5.4 IBM Corporation Revenue in AI in Patient Management Business (2019-2024)
11.5.5 IBM Corporation Recent Development
11.6 Microsoft Corporation
11.6.1 Microsoft Corporation Company Detail
11.6.2 Microsoft Corporation Business Overview
11.6.3 Microsoft Corporation AI in Patient Management Introduction
11.6.4 Microsoft Corporation Revenue in AI in Patient Management Business (2019-2024)
11.6.5 Microsoft Corporation Recent Development
11.7 General Vision, Inc.
11.7.1 General Vision, Inc. Company Detail
11.7.2 General Vision, Inc. Business Overview
11.7.3 General Vision, Inc. AI in Patient Management Introduction
11.7.4 General Vision, Inc. Revenue in AI in Patient Management Business (2019-2024)
11.7.5 General Vision, Inc. Recent Development
11.8 Enlitic, Inc.
11.8.1 Enlitic, Inc. Company Detail
11.8.2 Enlitic, Inc. Business Overview
11.8.3 Enlitic, Inc. AI in Patient Management Introduction
11.8.4 Enlitic, Inc. Revenue in AI in Patient Management Business (2019-2024)
11.8.5 Enlitic, Inc. Recent Development
11.9 Next IT Corporation
11.9.1 Next IT Corporation Company Detail
11.9.2 Next IT Corporation Business Overview
11.9.3 Next IT Corporation AI in Patient Management Introduction
11.9.4 Next IT Corporation Revenue in AI in Patient Management Business (2019-2024)
11.9.5 Next IT Corporation Recent Development
11.10 iCarbonX
11.10.1 iCarbonX Company Detail
11.10.2 iCarbonX Business Overview
11.10.3 iCarbonX AI in Patient Management Introduction
11.10.4 iCarbonX Revenue in AI in Patient Management Business (2019-2024)
11.10.5 iCarbonX Recent Development
11.11 Octopus.Health
11.11.1 Octopus.Health Company Detail
11.11.2 Octopus.Health Business Overview
11.11.3 Octopus.Health AI in Patient Management Introduction
11.11.4 Octopus.Health Revenue in AI in Patient Management Business (2019-2024)
11.11.5 Octopus.Health Recent Development
11.12 Sweetch Health Ltd.
11.12.1 Sweetch Health Ltd. Company Detail
11.12.2 Sweetch Health Ltd. Business Overview
11.12.3 Sweetch Health Ltd. AI in Patient Management Introduction
11.12.4 Sweetch Health Ltd. Revenue in AI in Patient Management Business (2019-2024)
11.12.5 Sweetch Health Ltd. Recent Development
11.13 Superwise.ai
11.13.1 Superwise.ai Company Detail
11.13.2 Superwise.ai Business Overview
11.13.3 Superwise.ai AI in Patient Management Introduction
11.13.4 Superwise.ai Revenue in AI in Patient Management Business (2019-2024)
11.13.5 Superwise.ai 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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