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AI in Healthcare Market Size, Share, Trends, Growth Outlook

AI in Healthcare Market Size, Share, Trends, Growth Outlook, and Opportunities to 2030- By Type( Hardware (Processor, Memory, Network), Software (AI Platform, AI Solution), Services), By Technology( Machine Learning, Natural Language Processing, Context-aware Computing, Computer Vision), By Application (Patient Data and Risk Analysis, Precision Medicine, Lifestyle Management and Monitoring, In-Patient Care and Hospital Management, Medical Imaging and Diagnostics, Drug Discovery, Others), By End-User (Hospitals, Healthcare Payers, Pharmaceuticals, Patients, Others), and Companies Report

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  • |Published Month : December, 2023
  • |No. of Pages : 180

The Global AI in Healthcare Market Size is estimated to register 42.8% growth over the forecast period from 2023 to 2030.

 

The market growth is driven by an increasing integration of AI in healthcare, ensuring the security and privacy of patient data is paramount. AI-driven cybersecurity solutions are implemented to safeguard health data from breaches, ensuring compliance with regulations such as HIPAA. Leading Companies focusing on Remote Surgery and Telemedicine Augmentation, AI-enhanced mental Health Solutions, Genomic Medicine and Precision Oncology, and others to boost market shares in the industry.

 

AI in Healthcare Market 2023-2030

 

Market Overview

AI in the healthcare market is experiencing substantial global growth, driven by factors like the increasing volume of healthcare data and technological advancements. Key applications include diagnostic imaging, clinical decision support, drug discovery, and telemedicine. Major players, including technology companies and startups, are actively contributing to this space. Challenges revolve around data privacy, security, and regulatory compliance. Ongoing developments focus on personalized medicine, genomic analysis, and the integration of AI with IoT devices for comprehensive patient monitoring. The impact of AI in healthcare is evident in improved diagnostic accuracy, optimized treatment plans, cost reduction, and enhanced accessibility to healthcare services. Regulatory bodies are working on guidelines for ethical AI use, emphasizing compliance with regulations such as HIPAA

 

Market Dynamics

Market Trends- AI is revolutionizing healthcare by enhancing medical imaging analysis, leading to faster diagnoses, more efficient workflows, and personalized treatment plans.

AI is revolutionizing healthcare through advanced medical imaging analysis, expediting diagnoses, streamlining workflows, and enabling personalized treatment plans. By swiftly and accurately analyzing complex medical images, AI enhances diagnostic speed, crucial in time-sensitive cases. Automated tasks in image analysis free up healthcare professionals' time, improving overall workflow efficiency and productivity. Furthermore, AI's ability to analyze extensive datasets facilitates the development of personalized treatment strategies, marking a shift towards precision medicine.

 

Market Driver- AI's ability to analyze vast amounts of data and identify patterns is transforming healthcare by driving the demand for predictive analytics and personalized medicine.

AI's transformative impact on healthcare is driven by its unparalleled ability to analyze vast datasets swiftly and accurately. This capability is reshaping the industry, particularly in the increasing demand for predictive analytics and personalized medicine. Predictive analytics, facilitated by AI algorithms, enables proactive and preventive care by forecasting health trends and identifying potential risks based on patient records, genetic data, and real-time health information. Simultaneously, AI is ushering in personalized medicine by tailoring treatment plans to individual patients, leveraging insights from both clinical and genetic data.

 

Market Opportunity- Virtual health assistants and remote patient monitoring are transforming healthcare by providing anytime, anywhere care and enabling remote patient monitoring.

Virtual health assistants and remote patient monitoring, driven by AI, are revolutionizing healthcare by providing personalized and accessible care. Virtual health assistants offer anytime, anywhere access to medical information and support, enhancing patient engagement. Simultaneously, remote patient monitoring utilizes connected devices to collect real-time health data, enabling proactive healthcare interventions. This transformative synergy improves patient outcomes, increases accessibility, and optimizes healthcare resource utilization.

 

Market Share Analysis- Software (AI Platform, AI Solution) AI in Healthcare Market will register the fastest growth

The Global AI in Healthcare Market is analyzed across Hardware (Processor, Memory, Network), Software (AI Platform, AI Solution), Services, and others. Software (AI Platform, AI Solution) is poised to register the fastest growth. The AI in Healthcare software market encompasses diverse solutions, including AI platforms like TensorFlow and PyTorch for model development, Clinical Decision Support Systems (CDSS) aiding healthcare professionals in decision-making, medical imaging analysis software enhancing diagnostic accuracy, Natural Language Processing (NLP) software for clinical text understanding, healthcare chatbots facilitating patient engagement, remote patient monitoring software for proactive healthcare management, and drug discovery tools accelerating the drug development process. These solutions leverage artificial intelligence to address various aspects of healthcare, from diagnosis and treatment to patient engagement and drug discovery, contributing to improved efficiency and personalized care in the healthcare industry.

 

Market Share Analysis- Machine Learning held a significant market share in 2023

The Global AI in Healthcare Market is analyzed across various Organizations including Machine Learning, Natural Language Processing, Context-aware Computing, Computer Vision, and others. Of these, Machine Learning held a significant market share in 2023. The Machine Learning AI in Healthcare Market integrates advanced machine learning algorithms and AI technologies to revolutionize healthcare by optimizing diagnostics, treatment plans, and patient outcomes. Applications include predictive analytics, diagnostic assistance, and drug discovery, utilizing extensive healthcare data. This market encompasses diverse solutions such as machine learning platforms, clinical decision support systems, and medical imaging analysis tools. The evolving landscape signals a transformative shift toward data-driven, precise, and personalized healthcare solutions, with the potential to significantly impact diagnostics, treatment strategies, and overall patient care.

 

AI in Healthcare Market Segmentation

By Type

  • Hardware (Processor, Memory, Network)
  • Software (AI Platform, AI Solution)
  • Services

By Technology

  • Machine Learning
  • Natural Language Processing
  • Context-aware Computing
  • Computer Vision

By Application

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

By End-User

  • Hospitals
  • Healthcare Payers
  • Pharmaceuticals
  • Patients
  • Others

By Region

  • North America (United States, Canada, Mexico)
  • Europe (Germany, France, United Kingdom, Spain, Italy, Others)
  • Asia Pacific (China, India, Japan, South Korea, Australia, Others)
  • Latin America (Brazil, Argentina, Others)
  • Middle East and Africa (Saudi Arabia, UAE, Kuwait, Other Middle East, South Africa, Nigeria, Other Africa)

 

AI in Healthcare Market Companies

  • NVIDIA Corporation (United States)
  • Siemens Healthineers (Germany)
  • Microsoft (United States)
  • Intel Corporation (United States)
  • Koninklijke Philips N.V. (Netherlands)
  • NVIDIA Corporation (United States)
  • Google Inc. (United States)
  • Amazon Web Services (United States)
  • General Electric Company (United States)
  • Micron Technology, Inc (United States)
  • Johnson & Johnson Services Inc (United States)
  • Medtronic (United States)

 

*List not exhaustive

AI in Healthcare Market Outlook 2023

1 Market Overview

1.1 Introduction to the AI in Healthcare Market

1.2 Scope of the Study

1.3 Research Objective

1.3.1 Key Market Scope and Segments

1.3.2 Players Covered

1.3.3 Years Considered

 

2 Executive Summary

2.1 2023 AI in Healthcare Industry- Market Statistics

3 Market Dynamics

3.1 Market Drivers

3.2 Market Challenges

3.3 Market Opportunities

3.4 Market Trends

 

4 Market Factor Analysis

4.1 Porter’s Five Forces

4.2 Market Entropy

4.2.1 Global AI in Healthcare Market Companies with Area Served

4.2.2 Products Offerings Global AI in Healthcare Market

 

5 COVID-19 Impact Analysis and Outlook Scenarios

5.1.1 Covid-19 Impact Analysis

5.1.2 post-COVID-19 Scenario- Low Growth Case

5.1.3 post-COVID-19 Scenario- Reference Growth Case

5.1.4 post-COVID-19 Scenario- Low Growth Case

 

6 Global AI in Healthcare Market Trends

6.1 Global AI in Healthcare Revenue (USD Million) and CAGR (%) by Type (2018-2030)

6.2 Global AI in Healthcare Revenue (USD Million) and CAGR (%) by Applications (2018-2030)

6.3 Global AI in Healthcare Revenue (USD Million) and CAGR (%) by regions (2018-2030)

 

7 Global AI in Healthcare Market Revenue (USD Million) by Type, and Applications (2018-2022)

7.1 Global AI in Healthcare Revenue (USD Million) by Type (2018-2022)

7.1.1 Global AI in Healthcare Revenue (USD Million), Market Share (%) by Type (2018-2022)

7.2 Global AI in Healthcare Revenue (USD Million) by Applications (2018-2022)

7.2.1 Global AI in Healthcare Revenue (USD Million), Market Share (%) by Applications (2018-2022)

 

8 Global AI in Healthcare Development Regional Status and Outlook

8.1 Global AI in Healthcare Revenue (USD Million) By Regions (2018-2022)

8.2 North America AI in Healthcare Revenue (USD Million) by Type, and Application (2018-2022)

8.2.1 North America AI in Healthcare Revenue (USD Million) by Country (2018-2022)

8.2.2 North America AI in Healthcare Revenue (USD Million) by Type (2018-2022)

8.2.3 North America AI in Healthcare Revenue (USD Million) by Applications (2018-2022)

8.3 Europe AI in Healthcare Revenue (USD Million), by Type, and Applications (USD Million) (2018-2022)

8.3.1 Europe AI in Healthcare Revenue (USD Million), by Country (2018-2022)

8.3.2 Europe AI in Healthcare Revenue (USD Million) by Type (2018-2022)

8.3.3 Europe AI in Healthcare Revenue (USD Million) by Applications (2018-2022)

8.4 Asia Pacific AI in Healthcare Revenue (USD Million), and Revenue (USD Million) by Type, and Applications (2018-2022)

8.4.1 Asia Pacific AI in Healthcare Revenue (USD Million) by Country (2018-2022)

8.4.2 Asia Pacific AI in Healthcare Revenue (USD Million) by Type (2018-2022)

8.4.3 Asia Pacific AI in Healthcare Revenue (USD Million) by Applications (2018-2022)

8.5 South America AI in Healthcare Revenue (USD Million), by Type, and Applications (2018-2022)

8.5.1 South America AI in Healthcare Revenue (USD Million), by Country (2018-2022)

8.5.2 South America AI in Healthcare Revenue (USD Million) by Type (2018-2022)

8.5.3 South America AI in Healthcare Revenue (USD Million) by Applications (2018-2022)

8.6 Middle East and Africa AI in Healthcare Revenue (USD Million), by Type, Technology, Application, Thickness (2018-2022)

8.6.1 Middle East and Africa AI in Healthcare Revenue (USD Million) by Country (2018-2022)

8.6.2 Middle East and Africa AI in Healthcare Revenue (USD Million) by Type (2018-2022)

8.6.3 Middle East and Africa AI in Healthcare Revenue (USD Million) by Applications (2018-2022)

 

9 Company Profiles

 

10 Global AI in Healthcare Market Revenue (USD Million), by Type, and Applications (2023-2030)

10.1 Global AI in Healthcare Revenue (USD Million) and Market Share (%) by Type (2023-2030)

10.1.1 Global AI in Healthcare Revenue (USD Million), and Market Share (%) by Type (2023-2030)

10.2 Global AI in Healthcare Revenue (USD Million) and Market Share (%) by Applications (2023-2030)

10.2.1 Global AI in Healthcare Revenue (USD Million), and Market Share (%) by Applications (2023-2030)

 

11 Global AI in Healthcare Development Regional Status and Outlook Forecast

11.1 Global AI in Healthcare Revenue (USD Million) By Regions (2023-2030)

11.2 North America AI in Healthcare Revenue (USD Million) by Type, and Applications (2023-2030)

11.2.1 North America AI in Healthcare Revenue (USD) Million by Country (2023-2030)

11.2.2 North America AI in Healthcare Revenue (USD Million), by Type (2023-2030)

11.2.3 North America AI in Healthcare Revenue (USD Million), Market Share (%) by Applications (2023-2030)

11.3 Europe AI in Healthcare Revenue (USD Million), by Type, and Applications (2023-2030)

11.3.1 Europe AI in Healthcare Revenue (USD Million), by Country (2023-2030)

11.3.2 Europe AI in Healthcare Revenue (USD Million), by Type (2023-2030)

11.3.3 Europe AI in Healthcare Revenue (USD Million), by Applications (2023-2030)

11.4 Asia Pacific AI in Healthcare Revenue (USD Million) by Type, and Applications (2023-2030)

11.4.1 Asia Pacific AI in Healthcare Revenue (USD Million), by Country (2023-2030)

11.4.2 Asia Pacific AI in Healthcare Revenue (USD Million), by Type (2023-2030)

11.4.3 Asia Pacific AI in Healthcare Revenue (USD Million), by Applications (2023-2030)

11.5 South America AI in Healthcare Revenue (USD Million), by Type, and Applications (2023-2030)

11.5.1 South America AI in Healthcare Revenue (USD Million), by Country (2023-2030)

11.5.2 South America AI in Healthcare Revenue (USD Million), by Type (2023-2030)

11.5.3 South America AI in Healthcare Revenue (USD Million), by Applications (2023-2030)

11.6 Middle East and Africa AI in Healthcare Revenue (USD Million), by Type, and Applications (2023-2030)

11.6.1 Middle East and Africa AI in Healthcare Revenue (USD Million), by region (2023-2030)

11.6.2 Middle East and Africa AI in Healthcare Revenue (USD Million), by Type (2023-2030)

11.6.3 Middle East and Africa AI in Healthcare Revenue (USD Million), by Applications (2023-2030)

 

12 Methodology and Data Sources

12.1 Methodology/Research Approach

12.1.1 Research Programs/Design

12.1.2 Market Size Estimation

12.1.3 Market Breakdown and Data Triangulation

12.2 Data Sources

12.2.1 Secondary Sources

12.2.2 Primary Sources

12.3 Disclaimer

List of Tables

Table 1 Market Segmentation Analysis

Table 2 Global AI in Healthcare Market Companies with Areas Served

Table 3 Products Offerings Global AI in Healthcare Market

Table 4 Low Growth Scenario Forecasts

Table 5 Reference Case Growth Scenario

Table 6 High Growth Case Scenario

Table 7 Global AI in Healthcare Revenue (USD Million) And CAGR (%) By Type (2018-2030)

Table 8 Global AI in Healthcare Revenue (USD Million) And CAGR (%) By Applications (2018-2030)

Table 9 Global AI in Healthcare Revenue (USD Million) And CAGR (%) By Regions (2018-2030)

Table 10 Global AI in Healthcare Revenue (USD Million) By Type (2018-2022)

Table 11 Global AI in Healthcare Revenue Market Share (%) By Type (2018-2022)

Table 12 Global AI in Healthcare Revenue (USD Million) By Applications (2018-2022)

Table 13 Global AI in Healthcare Revenue Market Share (%) By Applications (2018-2022)

Table 14 Global AI in Healthcare Market Revenue (USD Million) By Regions (2018-2022)

Table 15 Global AI in Healthcare Market Share (%) By Regions (2018-2022)

Table 16 North America AI in Healthcare Revenue (USD Million) By Country (2018-2022)

Table 17 North America AI in Healthcare Revenue (USD Million) By Type (2018-2022)

Table 18 North America AI in Healthcare Revenue (USD Million) By Applications (2018-2022)

Table 19 Europe AI in Healthcare Revenue (USD Million) By Country (2018-2022)

Table 20 Europe AI in Healthcare Revenue (USD Million) By Type (2018-2022)

Table 21 Europe AI in Healthcare Revenue (USD Million) By Applications (2018-2022)

Table 22 Asia Pacific AI in Healthcare Revenue (USD Million) By Country (2018-2022)

Table 23 Asia Pacific AI in Healthcare Revenue (USD Million) By Type (2018-2022)

Table 24 Asia Pacific AI in Healthcare Revenue (USD Million) By Applications (2018-2022)

Table 25 South America AI in Healthcare Revenue (USD Million) By Country (2018-2022)

Table 26 South America AI in Healthcare Revenue (USD Million) By Type (2018-2022)

Table 27 South America AI in Healthcare Revenue (USD Million) By Applications (2018-2022)

Table 28 Middle East and Africa AI in Healthcare Revenue (USD Million) By Region (2018-2022)

Table 29 Middle East and Africa AI in Healthcare Revenue (USD Million) By Type (2018-2022)

Table 30 Middle East and Africa AI in Healthcare Revenue (USD Million) By Applications (2018-2022)

Table 31 Financial Analysis

Table 32 Global AI in Healthcare Revenue (USD Million) By Type (2023-2030)

Table 33 Global AI in Healthcare Revenue Market Share (%) By Type (2023-2030)

Table 34 Global AI in Healthcare Revenue (USD Million) By Applications (2023-2030)

Table 35 Global AI in Healthcare Revenue Market Share (%) By Applications (2023-2030)

Table 36 Global AI in Healthcare Market Revenue (USD Million), And Revenue (USD Million) By Regions (2023-2030)

Table 37 North America AI in Healthcare Revenue (USD)By Country (2023-2030)

Table 38 North America AI in Healthcare Revenue (USD Million) By Type (2023-2030)

Table 39 North America AI in Healthcare Revenue (USD Million) By Applications (2023-2030)

Table 40 Europe AI in Healthcare Revenue (USD Million) By Country (2023-2030)

Table 41 Europe AI in Healthcare Revenue (USD Million) By Type (2023-2030)

Table 42 Europe AI in Healthcare Revenue (USD Million) By Applications (2023-2030)

Table 43 Asia Pacific AI in Healthcare Revenue (USD Million) By Country (2023-2030)

Table 44 Asia Pacific AI in Healthcare Revenue (USD Million) By Type (2023-2030)

Table 45 Asia Pacific AI in Healthcare Revenue (USD Million) By Applications (2023-2030)

Table 46 South America AI in Healthcare Revenue (USD Million) By Country (2023-2030)

Table 47 South America AI in Healthcare Revenue (USD Million) By Type (2023-2030)

Table 48 South America AI in Healthcare Revenue (USD Million) By Applications (2023-2030)

Table 49 Middle East and Africa AI in Healthcare Revenue (USD Million) By Region (2023-2030)

Table 50 Middle East and Africa AI in Healthcare Revenue (USD Million) By Region (2023-2030)

Table 51 Middle East and Africa AI in Healthcare Revenue (USD Million) By Type (2023-2030)

Table 52 Middle East and Africa AI in Healthcare Revenue (USD Million) By Applications (2023-2030)

Table 53 Research Programs/Design for This Report

Table 54 Key Data Information from Secondary Sources

Table 55 Key Data Information from Primary Sources

 

List of Figures

Figure 1 Market Scope

Figure 2 Porter’s Five Forces

Figure 3 Global AI in Healthcare Revenue (USD Million) By Type (2018-2022)

Figure 4 Global AI in Healthcare Revenue Market Share (%) By Type (2022)

Figure 5 Global AI in Healthcare Revenue (USD Million) By Applications (2018-2022)

Figure 6 Global AI in Healthcare Revenue Market Share (%) By Applications (2022)

Figure 7 Global AI in Healthcare Market Revenue (USD Million) By Regions (2018-2022)

Figure 8 Global AI in Healthcare Market Share (%) By Regions (2022)

Figure 9 North America AI in Healthcare Revenue (USD Million) By Country (2018-2022)

Figure 10 North America AI in Healthcare Revenue (USD Million) By Type (2018-2022)

Figure 11 North America AI in Healthcare Revenue (USD Million) By Applications (2018-2022)

Figure 12 Europe AI in Healthcare Revenue (USD Million) By Country (2018-2022)

Figure 13 Europe AI in Healthcare Revenue (USD Million) By Type (2018-2022)

Figure 14 Europe AI in Healthcare Revenue (USD Million) By Applications (2018-2022)

Figure 15 Asia Pacific AI in Healthcare Revenue (USD Million) By Country (2018-2022)

Figure 16 Asia Pacific AI in Healthcare Revenue (USD Million) By Type (2018-2022)

Figure 17 Asia Pacific AI in Healthcare Revenue (USD Million) By Applications (2018-2022)

Figure 18 South America AI in Healthcare Revenue (USD Million) By Country (2018-2022)

Figure 19 South America AI in Healthcare Revenue (USD Million) By Type (2018-2022)

Figure 20 South America AI in Healthcare Revenue (USD Million) By Applications (2018-2022)

Figure 21 Middle East and Africa AI in Healthcare Revenue (USD Million) By Region (2018-2022)

Figure 22 Middle East and Africa AI in Healthcare Revenue (USD Million) By Type (2018-2022)

Figure 23 Middle East and Africa AI in Healthcare Revenue (USD Million) By Applications (2018-2022)

Figure 24 Global AI in Healthcare Revenue (USD Million) By Type (2023-2030)

Figure 25 Global AI in Healthcare Revenue Market Share (%) By Type (2030)

Figure 26 Global AI in Healthcare Revenue (USD Million) By Applications (2023-2030)

Figure 27 Global AI in Healthcare Revenue Market Share (%) By Applications (2030)

Figure 28 Global AI in Healthcare Market Revenue (USD Million) By Regions (2023-2030)

Figure 29 North America AI in Healthcare Revenue (USD Million) By Country (2023-2030)

Figure 30 North America AI in Healthcare Revenue (USD Million) By Type (2023-2030)

Figure 31 North America AI in Healthcare Revenue (USD Million) By Applications (2023-2030)

Figure 32 Europe AI in Healthcare Revenue (USD Million) By Country (2023-2030)

Figure 33 Europe AI in Healthcare Revenue (USD Million) By Type (2023-2030)

Figure 34 Europe AI in Healthcare Revenue (USD Million) By Applications (2023-2030)

Figure 35 Asia Pacific AI in Healthcare Revenue (USD Million) By Country (2023-2030)

Figure 36 Asia Pacific AI in Healthcare Revenue (USD Million) By Type (2023-2030)

Figure 37 Asia Pacific AI in Healthcare Revenue (USD Million) By Applications (2023-2030)

Figure 38 South America AI in Healthcare Revenue (USD Million) By Country (2023-2030)

Figure 39 South America AI in Healthcare Revenue (USD Million) By Type (2023-2030)

Figure 40 South America AI in Healthcare Revenue (USD Million) By Applications (2023-2030)

Figure 41 Middle East and Africa AI in Healthcare Revenue (USD Million) By Region (2023-2030)

Figure 42 Middle East and Africa AI in Healthcare Revenue (USD Million) By Region (2023-2030)

Figure 43 Middle East and Africa AI in Healthcare Revenue (USD Million) By Type (2023-2030)

Figure 44 Middle East and Africa AI in Healthcare Revenue (USD Million) By Applications (2023-2030)

Figure 45 Bottom-Up and Top-Down Approaches for This Report

Figure 46 Data Triangulation

 

AI in Healthcare Market Segmentation

By Type

  • Hardware (Processor, Memory, Network)
  • Software (AI Platform, AI Solution)
  • Services

By Technology

  • Machine Learning
  • Natural Language Processing
  • Context-aware Computing
  • Computer Vision

By Application

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

By End-User

  • Hospitals
  • Healthcare Payers
  • Pharmaceuticals
  • Patients
  • Others

By Region

  • North America (United States, Canada, Mexico)
  • Europe (Germany, France, United Kingdom, Spain, Italy, Others)
  • Asia Pacific (China, India, Japan, South Korea, Australia, Others)
  • Latin America (Brazil, Argentina, Others)
  • Middle East and Africa (Saudi Arabia, UAE, Kuwait, Other Middle East, South Africa, Nigeria, Other Africa)

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