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AI in the Patient Management Market

AI in Patient Management Market Size, Share & Trends Analysis Report By Technology (Machine Learning, NLP), By Application (Health Record Analysis, Pattern Analysis, Location Based Analysis, Social Background, History Based Appointment Generation, Others), By End-Users, By Region, And by Segment Forecasts, 2023-2031

Report ID : 2054 | Published : 2024-09-25 | Pages: 180 | Format: PDF/EXCEL

The AI in Patient Management Market Size is predicted to witness a 24.51% CAGR during the forecast period for 2023-2031.

AI in the Patient Management Market

The field of AI in patient management is undergoing significant development, with the potential to enhance care quality, decrease expenses, and improve the overall patient experience. This is achieved through the utilisation of data-driven insights and automation, which aid healthcare personnel in their decision-making processes and interactions with patients. 

Artificial intelligence is employed in all patient management software, which medical institutions use to facilitate diagnosis, treatment, and monitoring. The market's growth is primarily pushed by increased healthcare data and the complexities of datasets, which drives the need for AI in patient management software in the industry. 

Furthermore, advances in processing power and lower hardware prices, increased cross-industry partnerships and collaborations, and increased imbalance between the health personnel and patients fuel the need for improved healthcare services. Due to a shortage of competent healthcare personnel, there is an increase in demand for AI algorithms that can be used in the healthcare sector. 

Market Segmentation: 

The AI in Patient Management market has been segmented based on technology, application, and end-user. The market is divided into machine learning and NLP based on technology. The application segment includes health record analysis, pattern analysis, location-basedlocation-based analysis, social background, history-basedand history-based appointment generation. The end-users segment includes hospitals, diagnostic centres, ambulatory surgical centres, and others. 

The Machine Learning Segment Is Dominating AI In Patient Management Market Based On Technology 

Machine learning has advanced rapidly due to AI systems' increased processing capabilities. AI algorithm innovation is also expected to reduce processing times, enhancing the application of algorithms in the healthcare industry. For example, in June 2020, GE Healthcare launched Thoracic Care Suite to detect chest X-ray abnormalities caused by COVID-19, such as pneumonia and tuberculosis, as well as to assist physicians and health systems in ensuring timely diagnosis and appropriate patient treatment. 

The Hospitals Segment Registered The Highest Growth 

Healthcare systems may become smarter, faster, and more efficient in providing treatment to millions of people worldwide by integrating artificial intelligence in hospital settings and clinics. Artificial intelligence in healthcare is truly the future, altering how patients receive excellent treatment while lowering provider costs and improving health outcomes. 

In The Region, The North American Ai In Patient Management Market Holds A Significant Revenue Share 

North America was the largest shareholder in artificial intelligence in the healthcare market, owing to its well-established healthcare infrastructure and support of government laws for product-type commercialization, which are the primary reasons driving the growth of AI in the healthcare industry. 

However, Asia-Pacific is anticipated to expand at the fastest rate during the forecast period, owing to increased adoption of healthcare IT solutions, increased funding for the development of AI capabilities, and major players collaborating with universities and research centres to build advanced AI algorithms that could be used in the healthcare industry. 

AI in Patient Management Market Players:

  • 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
  • Others 

AI in Patient Management Market Report Scope

Report Attribute

Specifications

Growth Rate CAGR

CAGR of 24.51% from 2023 to 2031

Quantitative Units

Representation of revenue in US$ Bn and CAGR from 2023 to 2031

Historic Year

2019 to 2022

Forecast Year

2023-2031

Report Coverage

The forecast of revenue, the position of the company, the competitive market structure, growth prospects, and trends

Segments Covered

By Technology, Application, End-Use

Regional Scope

North America; Europe; Asia Pacific; Latin America; Middle East & Africa

Country Scope

U.S.; Canada; U.K.; Germany; China; India; Japan; Brazil; Mexico ;The UK; France; Italy; Spain; China; Japan; India; South Korea; South East Asia; South Korea; South East Asia

Competitive Landscape

Welltok, Inc. (Virgin Pulse), Intel Corporation, Nvidia Corporation, Google Inc., IBM Corporation, Microsoft Corporation, General Vision, Inc., Enlitic, Inc., Next IT Corporation, and iCarbonX. Octopus.Health, Sweetch Health Ltd., Superwise.ai And others.

Customization Scope

Free customization report with the procurement of the report, Modifications to the regional and segment scope. Particular Geographic competitive landscape.

Pricing And Available Payment Methods

Explore pricing alternatives that are customized to your particular study requirements.

Chapter 1. Methodology and Scope
1.1. Research Methodology
1.2. Research Scope & Assumptions

Chapter 2. Executive Summary

Chapter 3. Global AI in Patient Management Market Snapshot

Chapter 4. Global AI in Patient Management 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. Industry Analysis – Porter’s Five Forces Analysis
4.7. Competitive Landscape & Market Share Analysis
4.8. Impact of Covid-19 Analysis

Chapter 5. Market Segmentation 1: By Technology Estimates & Trend Analysis
5.1. By Technology, & Market Share, 2020 & 2031
5.2. Market Size (Value US$ Mn) & Forecasts and Trend Analyses, 2020 to 2031 for the following By Technology:

5.2.1. Machine Learning
5.2.2. NLP

Chapter 6. Market Segmentation 2: By Application Estimates & Trend Analysis
6.1. By Application & Market Share, 2020 & 2031
6.2. Market Size (Value US$ Mn) & Forecasts and Trend Analyses, 2020 to 2031 for the following By Application:

6.2.1. Health Record Analysis
6.2.2. Pattern Analysis
6.2.3. Location Based Analysis
6.2.4. Social Background
6.2.5. History Based Appointment Generation
6.2.6. Others

Chapter 7. Market Segmentation 3: By End-User Estimates & Trend Analysis
7.1. By End-User & Market Share, 2020 & 2031
7.2. Market Size (Value US$ Mn) & Forecasts and Trend Analyses, 2020 to 2031 for the following By End-User:

7.2.1. Hospitals
7.2.2. Diagnostic Centers
7.2.3. Ambulatory Surgical centers
7.2.4. Others

Chapter 8. AI in Patient Management Market Segmentation 4: Regional Estimates & Trend Analysis

8.1. North America

8.1.1. North America AI in Patient Management Market revenue (US$ Million) estimates and forecasts By Technology, 2019-2031
8.1.2. North America AI in Patient Management Market revenue (US$ Million) estimates and forecasts By Application, 2019-2031
8.1.3. North America AI in Patient Management Market revenue (US$ Million) estimates and forecasts By End-User, 2019-2031
8.1.4. North America AI in Patient Management Market revenue (US$ Million) estimates and forecasts by country, 2019-2031

8.2. Europe

8.2.1. Europe AI in Patient Management Market revenue (US$ Million) By Technology, 2019-2031
8.2.2. Europe AI in Patient Management Market revenue (US$ Million) By Application, 2019-2031
8.2.3. Europe AI in Patient Management Market revenue (US$ Million) By End-User, 2019-2031
8.2.4. Europe AI in Patient Management Market revenue (US$ Million) by country, 2019-2031

8.3. Asia Pacific

8.3.1. Asia Pacific AI in Patient Management Market revenue (US$ Million) By Technology, 2019-2031
8.3.2. Asia Pacific AI in Patient Management Market revenue (US$ Million) By Application, 2019-2031
8.3.3. Asia Pacific AI in Patient Management Market revenue (US$ Million) By End-User, 2019-2031
8.3.4. Asia Pacific AI in Patient Management Market revenue (US$ Million) by country, 2019-2031

8.4. Latin America

8.4.1. Latin America AI in Patient Management Market revenue (US$ Million) By Technology, (US$ Million) 2019-2031
8.4.2. Latin America AI in Patient Management Market revenue (US$ Million) By Application, (US$ Million) 2019-2031
8.4.3. Latin America AI in Patient Management Market revenue (US$ Million) By End-User, (US$ Million) 2019-2031
8.4.4. Latin America AI in Patient Management Market revenue (US$ Million) by country, 2019-2031

8.5. Middle East & Africa

8.5.1. Middle East & Africa AI in Patient Management Market revenue (US$ Million) By Technology, (US$ Million) 2019-2031
8.5.2. Middle East & Africa AI in Patient Management Market revenue (US$ Million) By Application, (US$ Million) 2019-2031
8.5.3. Middle East & Africa AI in Patient Management Market revenue (US$ Million) By End-User, (US$ Million) 2019-2031
8.5.4. Middle East & Africa AI in Patient Management Market revenue (US$ Million) by country, 2019-2031

Chapter 9. Competitive Landscape

9.1. Major Mergers and Acquisitions/Strategic Alliances

9.2. Company Profiles

9.2.1 Octopus.Health
9.2.2 Sweetch Health Ltd.
9.2.3 Superwise.ai
9.2.4 Welltok, Inc. (Virgin Pulse)
9.2.5 Intel Corporation
9.2.6 Nvidia Corporation
9.2.7 Google Inc.
9.2.8 IBM Corporation
9.2.9 Microsoft Corporation
9.2.10 General Vision, Inc.
9.2.11 Enlitic, Inc.
9.2.12 Next IT Corporation
9.2.13 iCarbonX
9.2.14 Octopus.Health
9.2.15 Sweetch Health Ltd.
9.2.16 Superwise.ai

Segmentation of AI in Patient Management Market-

AI in Patient Management Market By Technology-

  • Machine Learning
  • NLP

AI in the Patient Management Market

AI in Patient Management Market By Application-

  • Health Record Analysis
  • Pattern Analysis
  • Location Based Analysis
  • Social Background
  • History Based Appointment Generation
  • Others

AI in Patient Management Market By End-Users-

  • Hospitals
  • Diagnostic Centers
  • Ambulatory Surgical Centers
  • Others

AI in Patient Management Market By Region-

North America-

  • The US
  • Canada
  • Mexico

Europe-

  • Germany
  • The UK
  • France
  • Italy
  • Spain
  • Rest of Europe

Asia-Pacific-

  • China
  • Japan
  • India
  • South Korea
  • South East Asia
  • Rest of Asia Pacific

Latin America-

  • Brazil
  • Argentina
  • Rest of Latin America

 Middle East & Africa-

  • GCC Countries
  • South Africa
  • Rest of the Middle East and Africa

InsightAce Analytic follows a standard and comprehensive market research methodology focused on offering the most accurate and precise market insights. The methods followed for all our market research studies include three significant steps – primary research, secondary research, and data modeling and analysis - to derive the current market size and forecast it over the forecast period. In this study, these three steps were used iteratively to generate valid data points (minimum deviation), which were cross-validated through multiple approaches mentioned below in the data modeling section.

Through secondary research methods, information on the market under study, its peer, and the parent market was collected. This information was then entered into data models. The resulted data points and insights were then validated by primary participants.

Based on additional insights from these primary participants, more directional efforts were put into doing secondary research and optimize data models. This process was repeated till all data models used in the study produced similar results (with minimum deviation). This way, this iterative process was able to generate the most accurate market numbers and qualitative insights.

Secondary research

The secondary research sources that are typically mentioned to include, but are not limited to:

  • Company websites, financial reports, annual reports, investor presentations, broker reports, and SEC filings.
  • External and internal proprietary databases, regulatory databases, and relevant patent analysis
  • Statistical databases, National government documents, and market reports
  • Press releases, news articles, and webcasts specific to the companies operating in the market

The paid sources for secondary research like Factiva, OneSource, Hoovers, and Statista

Primary Research:

Primary research involves telephonic interviews, e-mail interactions, as well as face-to-face interviews for each market, category, segment, and subsegment across geographies

The contributors who typically take part in such a course include, but are not limited to: 

  • Industry participants: CEOs, CBO, CMO, VPs, marketing/ type managers, corporate strategy managers, and national sales managers, technical personnel, purchasing managers, resellers, and distributors.
  • Outside experts: Valuation experts, Investment bankers, research analysts specializing in specific markets
  • Key opinion leaders (KOLs) specializing in unique areas corresponding to various industry verticals
  • End-users: Vary mainly depending upon the market

Data Modeling and Analysis:

In the iterative process (mentioned above), data models received inputs from primary as well as secondary sources. But analysts working on these models were the key. They used their extensive knowledge and experience about industry and topic to make changes and fine-tuning these models as per the product/service under study.

The standard data models used while studying this market were the top-down and bottom-up approaches and the company shares analysis model. However, other methods were also used along with these – which were specific to the industry and product/service under study.

To know more about the research methodology used for this study, kindly contact us/click here.

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What is the AI in Patient Management Market Growth?

Welltok, Inc. (Virgin Pulse), Intel Corporation, Nvidia Corporation, Google Inc., IBM Corporation, Microsoft Corporation, General Vision, Inc., Enliti

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