Global AI in Healthcare Market Assessment, By Component [Hardware, Software and Services], By Technology [Machine Learning (ML), Natural Language Processing (NLP), Context-Aware Computing, Robotic Process Automation (RPA), Computer Vision and Others], By Application [Robot-Assisted Surgery, Administrative Workflow Assistance, Cybersecurity, Virtual Nursing Assistant, Clinical Trials, Diagnosis, Customer Service Chatbots, Drug Discovery and Others], By End-user [Hospitals & Clinics, Pharmaceutical & Biotechnology, Patients and Others], By Region [North America, Europe, Asia Pacific, Middle East & Africa and South America], Opportunities and Forecast, 2016-2030F

Global Artificial Intelligence (AI) in Healthcare Market size was valued at USD 16.47 billion in 2022 which is expected to reach USD 198.32 billion in 2030 growing at a CAGR of 36.48% for the forecasted period between 2023 and 2030.

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Global Artificial Intelligence (AI) in Healthcare Market size was valued at USD 16.47 billion in 2022 which is expected to reach USD 198.32 billion in 2030 growing at a CAGR of 36.48% for the forecasted period between 2023 and 2030. The market is being driven by factors such as increasing adoption of AI technologies, generation of large volumes of patient-health-related data, increasing demand for personalized and precision medicine, growing application of AI in medical imaging and diagnostics, and increasing potential for AI-based tools for the elderly population. Recent advancements in AI have been accelerated by the impact of COVID-19, thus making AI an indispensable part of healthcare.

As AI technologies became increasingly popular in healthcare applications, key market players focused on product innovation and technical partnerships to extend their product range and meet increasing demand. For instance, in 2022, Amazon Web Services launched Amazon Omics for precision medicine. Amazon Omics uses AI, ML, and deep learning-based algorithms to aid healthcare professionals in gaining better understanding during patient care. This service is designed to aid in identifying the most effective treatment or prevention choices by efficiently managing complex bioinformatics tasks.

Growing Application in Medical Imaging and Diagnostics

Researchers are increasingly exploring new methods to incorporate artificial intelligence into medical imaging. In recent times, research institutions and universities have been actively working towards expanding the use of AI in cancer treatment. The COVID-19 pandemic led to delays in diagnosing and screening of diseases, including routine check-ups and cancer screenings, which had resulted in the detection of more advanced stages of cancer. Deep learning algorithms have emerged as the preferred approach for analyzing radiology imaging, such as CT, MRI, PET, ultrasound, and addressing diverse tasks like tumor detection, segmentation, and disease detection. Multiple studies have demonstrated significant performance enhancements of deep learning-based models compared to conventional machine learning algorithms.

Adoption of Machine Learning in Healthcare

In the past five years, significant progress has been made in AI, ML and data science, leading to numerous technological advancements. The convergence of fast computer processing, expansive data repositories, and a robust pool of AI experts has facilitated swift growth in AI tools and technology in the healthcare sector. As a result, there is a huge demand where AI technology is poised to revolutionize society through its widespread adoption and profound impact. In the healthcare sector, AI is being widely used in dermatology, electronic health records (EHR), surgical robotics, drug manufacturing, psychiatry etc. AI dermatologist, an innovative prediagnostic app, is able to identify one of the most dangerous diseases which is skin cancer. Globally, more than 2 people die of this disease every hour.

Government Initiatives & Regulations

In June 2023, the U.S government announced its initiatives to ensure the safe progress and implementation of artificial intelligence. Additionally, they are inviting the public to actively contribute to the formulation of the government's AI strategies. Healthcare experts have been raising awareness about the necessity for the healthcare industry to adopt a proactive approach regarding AI safety. They emphasize the importance of developing and implementing measures to ensure the transparent deployment of AI in clinical settings. For instance, on 27th October 2021, the Food and Drug Administration (FDA) provided specific guidance regarding the use of AI in medical devices. The FDA, in collaboration with Health Canada and the United Kingdom's Medicines and Healthcare products Regulatory Agency, published guiding principles that outline the appropriate utilization of AI and machine learning (ML) in medical devices.

North America to Dominate

In 2022, AI in healthcare market was largely dominated by North America region This is primarily due to the growing utilization of AI/ML technologies, advancements in healthcare IT infrastructure, initiatives taken by the government, and the presence of numerous tech giants. The United States has witnessed large investments in AI/ML, which has resulted in the substantial influence of these technologies. The country stands out as the primary destination for many investment deals in AI startups.

The level of funding in the United States experienced significant growth in 2020 and 2021.  For instance, Insitro, a company focused on utilizing machine learning for drug discovery and development, secured USD 400 million in Series C financing in March 2021. Canada Pension Plan Investment Board (CPP Investments) lead the financing round, accompanied by notable contributions from existing investors such as Andreessen Horowitz, funds and accounts advised by T. Rowe Price Associates, Inc., Casdin Capital, and funds and accounts managed by BlackRock.

The United States holds the top position globally in terms of preparedness for integrating AI in the public sector, with an average score of 85.48 out of 100. The country excels in crucial areas such as AI vision, as well as AI governance and ethics.

Robot-Assisted-Surgery Contributes Largely to Market Share

The robot-assisted-surgery segment dominated the market in 2022 and accounted for the largest market share during the forecasted period. Robotic surgery has witnessed a relatively recent integration of AI, primarily in imaging and navigation applications. Initially, the emphasis was on detecting features and assisting surgeons through computer-guided interventions for pre-operative planning and intra-operative guidance. This gradual transformation in surgical practice can be attributed to technological advancements in imaging, navigation, and robotic interventions facilitated by AI. Incorporating AI in surgical robotics has several advantages such as AI’s ability to learn from large data sets, identifying new trends and reducing physical stress of the surgeon. For instance, the da Vinci Surgical System, equipped with AI capabilities, allows surgeons to perform precise and minimally invasive prostatectomies. AI algorithms assist in preoperative planning, identifying the optimal approach and assisting surgeons in navigating complex anatomical structures during the procedure.

Impact of COVID-19

The COVID-19 pandemic expedited the acceptance of artificial intelligence in the healthcare sector. AI-powered solutions and tools have the capability to operate swiftly, can be implemented on a large scale, and can adapt to the rapidly changing technological environment. Various market players, including startups, established corporations, universities, and others, are actively contributing their skills and offerings in the field of AI. For instance, companies like Current Health, a remote-monitoring startup based in the U.K., helped prominent institutions such as Mayo Clinic and Baptist Health during COVID-19. Such startups play a crucial role in the industry's swift adoption of digital solutions and are rapidly expanding their operations to meet the increasing demand. Major tech companies such as Microsoft, Google, Apple, Amazon, and Facebook are engaged in various initiatives pertaining to remote communication between patients and healthcare providers, contact tracing, drug development, and many more features.

Impact of Russia-Ukraine War

The war between Russia and Ukraine led to closure of business operations by many tech and healthcare organizations.  Organizations such as Siemens Healthcare GmbH, IBM Corporation, Nvidia Corporation, Microsoft Corporation and many others shutdown their offices and business activities in Russia. Sanctions were imposed by more than 30 countries including Australia, Canada, Norway, Japan, United States, among others. Siemens AG exited the Russian market due to the Russia-Ukraine war. The company initiated the process to terminate its industrial operations and ceased all industrial business activities including healthcare in May 2022.

Global Artificial Intelligence in Healthcare Market: Report Scope

Global Artificial Intelligence in Healthcare Market Assessment, Opportunities and Forecast, 2016-2030F”, is a comprehensive report by Markets & Data, providing in-depth analysis and qualitative & quantitative assessment of the current state of the artificial intelligence in the healthcare market globally, industry dynamics and challenges. The report includes market size, segmental shares, growth trends, COVID-19 and Russia-Ukraine war impact, opportunities and forecast between 2023 and 2030. Additionally, the report profiles the leading players in the industry mentioning their respective market share, business model, competitive intelligence, etc. 

 

Report Attribute

Details

Base Year of the Analysis

2022

Historical Period

2016-2021

Forecast Period

2023-2030

Projected Growth Rate

CAGR of 36.48% between 2023 and 2030

Revenue Forecast in 2030

USD 198.32 billion

Units

Revenue in USD billion

Segments Covered

Component, Technology, Application, End-user,

Regions Covered

North America, Europe, South America, Asia-Pacific, Middle East and Africa

Key Companies Profiled

Nvidia Corporation, Intel Corporation, Koninklijke Philips N.V, Microsoft Corporation, Google LLC, Siemens Healthcare GmbH, Medtronic PLC, Amazon Web Services, CloudMex Inc., IBM Corporation, Babylon Health, Komodo Health

 

Customization Scope

15% free report customization with purchase

Pricing and Purchase Options

Avail the customized purchase options to fulfil your precise research needs

Delivery Format

PDF and Excel through email (subject to the license purchased)

 

In this report, Global Artificial Intelligence in Healthcare Market has been segmented into following categories:

1.       By Component

1.1.    Hardware

1.1.1. Processor

1.1.2. Memory Units

1.1.3. Network

1.1.4. Others

1.2.    Software

1.2.1. Solution

1.2.2. Platform

1.3.    Services

1.3.1. Deployment & Integration

1.3.2. Support & Maintenance

2.       By Technology

2.1.    Machine Learning (ML)

2.1.1.Deep Learning

2.1.2.Supervised Learning

2.1.3.Unsupervised Learning

2.1.4.Reinforcement Learning

2.1.5.Others

2.2.    Natural Language Processing (NLP)

2.3.    Context-Aware Computing

2.4.    Computer Vision

2.5.    Robotic Process Automation (RPA)

2.6.    Others

3.       By Application

3.1 Robot-Assisted Surgery

3.2 Administrative Workflow Assistance

3.3 Cybersecurity

3.4 Virtual Health Assistant

3.5 Clinical Trials

3.6 Diagnosis & Treatment

3.7 Customer Service Chatbots

3.8 Drug Discovery

3.9 Others

4.       By End-user

4.1 Hospitals & Clinics

4.3   Pharmaceutical & Biotechnology

4.3 Patients

4.4 Others

5.       By Region

5.1   North America

5.2   Europe

5.3   Asia Pacific

5.4   Middle East and Africa

5.5   South America

Key Player Landscape and Outlook

The global AI in healthcare market is highly competitive, with several established players and new entrants competing for market share. Some of the trends taking place in the market are advancements in natural language processing & conversational AI, and integration of electronic health records (EHRs) & wearables. Businesses are placing their emphasis on automating repetitive tasks, enhancing customer service through chatbots, optimizing supply chain management, and employing predictive analytics to make more informed decisions, all in pursuit of gaining a competitive edge in the market.

For instance, in 2023, Epic Systems Corporation announced its partnership with Microsoft Corporation, for a primary objective of integrating the Azure OpenAI service into Epic's electronic health record (EHR) software. The collaboration aims to enhance the efficiency of both physicians and back-office professionals. Initially, Epic's focus lies in utilizing OpenAI's GPT-4 AI language model to assist healthcare workers in drafting message responses to patients and to analyze medical records for identifying trends.

Market Xcel’s reports answer the following questions:

• What is the current and future market size of the product/service in question globally or          specific to different countries?

• How are the markets divided into different product/service segments and the market size and growth of each segment?

• What is the market potential of different product segments and their investment case?

• How are the markets predicted to develop in the future and what factors will drive or inhibit growth?

• What is the business environment and regulatory landscape specific to the product/service?

Key Players Operating in Global Big Data Analytics Market

·         Nvidia Corporation

·         Intel Corporation

·         Koninklijke Philips N.V

·         Microsoft Corporation

·         Google LLC

·         Siemens Healthcare GmbH

·         Medtronic PLC

·         Amazon Web Services, Inc.

·         CloudMex Inc.

·         IBM Corporation

·         Babylon Health Services Ltd

·         Komodo Health, Inc.

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Table of Contents

1.       Research Methodology

2.       Project Scope & Definitions

3.       Impact of COVID-19 on Artificial Intelligence in Healthcare Market

4.       Impact of Russia-Ukraine War

5.       Executive Summary

6.       Global Artificial Intelligence in Healthcare Market Outlook, 2016-2030F

6.1.    Market Size & Forecast

6.1.1.By Value

6.2.    By Component

6.2.1.Hardware

6.2.1.1.              Processor

6.2.1.2.               Memory Units

6.2.1.3.               Network

6.2.1.4.               Others

6.2.2.Software

6.2.2.1.              Platform

6.2.2.2.              Solution

6.2.3.Services

6.2.3.1.              Deployment & Integration

6.2.3.2.              Support & Maintenance

6.3.     By Technology

6.3.1. Machine Learning

6.3.1.1.              Deep Learning

6.3.1.2.              Supervised Learning

6.3.1.3.              Unsupervised Learning

6.3.1.4.              Reinforcement Learning

6.3.1.5.              Others

6.3.2.Natural Language Processing

6.3.3.Context-Aware Computing

6.3.4.Computer Vision

6.3.5.Robotic Process Automation (RPA)

6.3.6.Others

6.4.    By Application

6.4.1.  Robot-Assisted Surgery

6.4.2. Administrative Workflow Assistance

6.4.3. Cybersecurity

6.4.4. Virtual Nursing Assistant

6.4.5. Clinical Trials

6.4.6.Diagnosis

6.4.7. Customer Service Chatbots

6.4.8. Drug Discovery

6.4.9. Others

6.5.     By End-user

6.5.1.Hospitals & Clinics

6.5.2.Pharmaceutical & Biotechnology

6.5.3.Patients

6.5.4.Others

6.6.    By Region

6.6.1.North America

6.6.2.Europe

6.6.3.Asia-Pacific

6.6.4.Middle East and Africa

6.6.5.South America

6.7.    By Company Market Share (%), 2022

7.       Global Artificial Intelligence in Healthcare Market Outlook, By Region, 2016-2030F

7.1.   North America*

7.1.1.By Component

7.1.1.1.              Hardware

7.1.1.1.1.                    Processor

7.1.1.1.2.                     Memory Units

7.1.1.1.3.                     Network

7.1.1.1.4.                     Others

7.1.1.2.              Software

7.1.1.2.1.                    Platform

7.1.1.2.2.                    Solution

7.1.1.3.              Services

7.1.1.3.1.                    Deployment & Integration

7.1.1.3.2.                    Support & Maintenance

7.1.2. By Technology

7.1.2.1.               Machine Learning

7.1.2.1.1.                    Deep Learning

7.1.2.1.2.                    Supervised Learning

7.1.2.1.3.                    Unsupervised Learning

7.1.2.1.4.                    Reinforcement Learning

7.1.2.1.5.                    Others

7.1.2.2.              Natural Language Processing

7.1.2.3.              Context-Aware Computing

7.1.2.4.              Computer Vision

7.1.2.5.              Robotic Process Automation (RPA)

7.1.2.6.              Others

7.1.3.By Application

7.1.3.1.              Robot-Assisted Surgery

7.1.3.2.              Administrative Workflow Assistance

7.1.3.3.              Cybersecurity

7.1.3.4.              Virtual Nursing Assistant

7.1.3.5.              Clinical Trials

7.1.3.6.              Diagnosis

7.1.3.7.              Customer Service Chatbots

7.1.3.8.              Drug Discovery

7.1.3.9.              Others

7.1.4. By End-user

7.1.4.1.              Hospitals & Clinics

7.1.4.2.              Pharmaceutical & Biotechnology

7.1.4.3.              Patients

7.1.4.4.              Others

7.2.    United States*

7.2.1.By Component

7.2.1.1.              Hardware

7.2.1.1.1.                    Processor

7.2.1.1.2.                     Memory Units

7.2.1.1.3.                     Network

7.2.1.1.4.                     Others

7.2.1.2.              Software

7.2.1.2.1.                    Platform

7.2.1.2.2.                    Solution

7.2.1.3.              Services

7.2.1.3.1.                    Deployment & Integration

7.2.1.3.2.                    Support & Maintenance

7.2.2. By Technology

7.2.2.1.               Machine Learning

7.2.2.1.1.                    Deep Learning

7.2.2.1.2.                    Supervised Learning

7.2.2.1.3.                    Unsupervised Learning

7.2.2.1.4.                    Reinforcement Learning

7.2.2.1.5.                    Others

7.2.2.2.              Natural Language Processing

7.2.2.3.              Context-Aware Computing

7.2.2.4.              Computer Vision

7.2.2.5.              Robotic Process Automation (RPA)

7.2.2.6.              Others

7.2.3.By Application

7.2.3.1.              Robot-Assisted Surgery

7.2.3.2.              Administrative Workflow Assistance

7.2.3.3.              Cybersecurity

7.2.3.4.              Virtual Nursing Assistant

7.2.3.5.              Clinical Trials

7.2.3.6.              Diagnosis

7.2.3.7.              Customer Service Chatbots

7.2.3.8.              Drug Discovery

7.2.3.9.              Others

7.2.4. By End-user

7.2.4.1.              Hospitals & Clinics

7.2.4.2.              Pharmaceutical & Biotechnology

7.2.4.3.              Patients

7.2.4.4.              Others

7.3.    Canada

7.4.    Mexico

*All segments will be provided for all regions and countries covered

7.5.   Europe

7.5.1.Germany

7.5.2.France

7.5.3.Italy

7.5.4.United Kingdom

7.5.5.Russia

7.5.6.Netherlands

7.5.7.Spain

7.5.8.Turkey

7.5.9.Poland

7.6.   South America

7.6.1.Brazil

7.6.2.Argentina

7.7.   Asia-Pacific

7.7.1.India

7.7.2.China

7.7.3.Japan

7.7.4.Australia

7.7.5.Vietnam

7.7.6.South Korea

7.7.7.Indonesia

7.7.8.Philippines

7.8.   Middle East & Africa

7.8.1.Saudi Arabia

7.8.2.UAE

7.8.3.South Africa

8.       Market Mapping, 2022

8.1.    By Component

8.2.    By Technology  

8.3.    By Application  

8.4.    By End-user

8.5.    By Region

9.       Macro Environment and Industry Structure

9.1.    Supply Demand Analysis

9.2.    Import Export Analysis

9.3.    Value Chain Analysis

9.4.    PESTEL Analysis

9.4.1.Political Factors

9.4.2.Economic System

9.4.3.Social Implications

9.4.4.Technological Advancements

9.4.5.Environmental Impacts

9.4.6.Legal Compliances and Regulatory Policies (Statutory Bodies Included)

9.5.    Porter’s Five Forces Analysis

9.5.1.Supplier Power

9.5.2.Buyer Power

9.5.3.Substitution Threat

9.5.4.Threat from New Entrant

9.5.5.Competitive Rivalry

10.   Market Dynamics

10.1.                     Growth Drivers

10.2.                     Growth Inhibitors (Challenges and Restraints)

11.   Key Players Landscape

11.1.                     Competition Matrix of Top Five Market Leaders

11.2.                     Market Revenue Analysis of Top Five Market Leaders (in %, 2022)

11.3.                     Mergers and Acquisitions/Joint Ventures (If Applicable)

11.4.                     SWOT Analysis (For Five Market Players)

11.5.                     Patent Analysis (If Applicable)

12.   Pricing Analysis

13.   Case Studies

14.   Key Players Outlook

14.1.                     Nvidia Corporation

14.1.1.    Company Details

14.1.2.    Key Management Personnel

14.1.3.    Products & Services

14.1.4.    Financials (As reported)

14.1.5.    Key Market Focus & Geographical Presence

14.1.6.    Recent Developments

14.2.                     Intel Corporation

14.3.                     Koninklijke Philips N.V

14.4.                     Microsoft Corporation

14.5.                     Google LLC

14.6.                     Siemens Healthineers GmbH

14.7.                     Medtronic PLC

14.8.                     Amazon Web Services, Inc.

14.9.                     CloudMex Inc.

14.10.                  IBM Corporation

14.11.                  Babylon Health Services Ltd

14.12.                  Komodo Health, Inc.

14.13.                  Others

*Companies mentioned above DO NOT hold any order as per market share and can be changed as per information available during research work

15.   Strategic Recommendations

16.   About Us & Disclaimer

LIST OF FIGURE - GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET

Figure 1. Global Artificial Intelligence in Healthcare Market, By Value, In USD Billion, 2016-2030F

Figure 2. Global Artificial Intelligence in Healthcare Market Share, By Component, In USD Billion, 2016-2030F

Figure 3. Global Artificial Intelligence in Healthcare Market Share, By Technology, In USD Billion, 2016-2030F

Figure 4. Global Artificial Intelligence in Healthcare Market Share, By Application, In USD Billion, 2016-2030F

Figure 5. Global Artificial Intelligence in Healthcare Market Share, By End-user, In USD Billion, 2016-2030F

Figure 6. Global Artificial Intelligence in Healthcare Market Share, By Region, In USD Billion, 2016-2030F

Figure 7. North America Artificial Intelligence in Healthcare Market, By Value, In USD Billion, 2016-2030F

Figure 8. North America Artificial Intelligence in Healthcare Market Share, By Component, In USD Billion, 2016-2030F

Figure 9. North America Artificial Intelligence in Healthcare Market Share, By Technology, In USD Billion, 2016-2030F

Figure 10. North America Artificial Intelligence in Healthcare Market Share, By Application, In USD Billion, 2016-2030F

Figure 11. North America Artificial Intelligence in Healthcare Market Share, By End-user, In USD Billion, 2016-2030F

Figure 12. North America Artificial Intelligence in Healthcare Market Share, By Country, In USD Billion, 2016-2030F

Figure 13. United States Artificial Intelligence in Healthcare Market, By Value, In USD Billion, 2016-2030F

Figure 14. United States Artificial Intelligence in Healthcare Market Share, By Component, In USD Billion, 2016-2030F

Figure 15. United States Artificial Intelligence in Healthcare Market Share, By Technology, In USD Billion, 2016-2030F

Figure 16. United States Artificial Intelligence in Healthcare Market Share, By Application, In USD Billion, 2016-2030F

Figure 17. United States Artificial Intelligence in Healthcare Market Share, By End-user, In USD Billion, 2016-2030F

Figure 18. Canada Artificial Intelligence in Healthcare Market, By Value, In USD Billion, 2016-2030F

Figure 19. Canada Artificial Intelligence in Healthcare Market Share, By Component, In USD Billion, 2016-2030F

Figure 20. Canada Artificial Intelligence in Healthcare Market Share, By Technology, In USD Billion, 2016-2030F

Figure 21. Canada Artificial Intelligence in Healthcare Market Share, By Application, In USD Billion, 2016-2030F

Figure 22. Canada Artificial Intelligence in Healthcare Market Share, By End-user, In USD Billion, 2016-2030F

Figure 23. Mexico Artificial Intelligence in Healthcare Market, By Value, In USD Billion, 2016-2030F

Figure 24. Mexico Artificial Intelligence in Healthcare Market Share, By Component, In USD Billion, 2016-2030F

Figure 25. Mexico Artificial Intelligence in Healthcare Market Share, By Technology, In USD Billion, 2016-2030F

Figure 26. Mexico Artificial Intelligence in Healthcare Market Share, By Application, In USD Billion, 2016-2030F

Figure 27. Mexico Artificial Intelligence in Healthcare Market Share, By End-user, In USD Billion, 2016-2030F

Figure 28. Europe Artificial Intelligence in Healthcare Market, By Value, In USD Billion, 2016-2030F

Figure 29. Europe Artificial Intelligence in Healthcare Market Share, By Component, In USD Billion, 2016-2030F

Figure 30. Europe Artificial Intelligence in Healthcare Market Share, By Technology, In USD Billion, 2016-2030F

Figure 31. Europe Artificial Intelligence in Healthcare Market Share, By Application, In USD Billion, 2016-2030F

Figure 32. Europe Artificial Intelligence in Healthcare Market Share, By End-user, In USD Billion, 2016-2030F

Figure 33. Europe Artificial Intelligence in Healthcare Market Share, By Country, In USD Billion, 2016-2030F

Figure 34. Germany Artificial Intelligence in Healthcare Market, By Value, In USD Billion, 2016-2030F

Figure 35. Germany Artificial Intelligence in Healthcare Market Share, By Component, In USD Billion, 2016-2030F

Figure 36. Germany Artificial Intelligence in Healthcare Market Share, By Technology, In USD Billion, 2016-2030F

Figure 37. Germany Artificial Intelligence in Healthcare Market Share, By Application, In USD Billion, 2016-2030F

Figure 38. Germany Artificial Intelligence in Healthcare Market Share, By End-user, In USD Billion, 2016-2030F

Figure 39. France Artificial Intelligence in Healthcare Market, By Value, In USD Billion, 2016-2030F

Figure 40. France Artificial Intelligence in Healthcare Market Share, By Component, In USD Billion, 2016-2030F

Figure 41. France Artificial Intelligence in Healthcare Market Share, By Technology, In USD Billion, 2016-2030F

Figure 42. France Artificial Intelligence in Healthcare Market Share, By Application, In USD Billion, 2016-2030F

Figure 43. France Artificial Intelligence in Healthcare Market Share, By End-user, In USD Billion, 2016-2030F

Figure 44. Italy Artificial Intelligence in Healthcare Market, By Value, In USD Billion, 2016-2030F

Figure 45. Italy Artificial Intelligence in Healthcare Market Share, By Component, In USD Billion, 2016-2030F

Figure 46. Italy Artificial Intelligence in Healthcare Market Share, By Technology, In USD Billion, 2016-2030F

Figure 47. Italy Artificial Intelligence in Healthcare Market Share, By Application, In USD Billion, 2016-2030F

Figure 48. Italy Artificial Intelligence in Healthcare Market Share, By End-user, In USD Billion, 2016-2030F

Figure 49. United Kingdom Artificial Intelligence in Healthcare Market, By Value, In USD Billion, 2016-2030F

Figure 50. United Kingdom Artificial Intelligence in Healthcare Market Share, By Component, In USD Billion, 2016-2030F

Figure 51. United Kingdom Artificial Intelligence in Healthcare Market Share, By Technology, In USD Billion, 2016-2030F

Figure 52. United Kingdom Artificial Intelligence in Healthcare Market Share, By Application, In USD Billion, 2016-2030F

Figure 53. United Kingdom Artificial Intelligence in Healthcare Market Share, By End-user, In USD Billion, 2016-2030F

Figure 54. Russia Artificial Intelligence in Healthcare Market, By Value, In USD Billion, 2016-2030F

Figure 55. Russia Artificial Intelligence in Healthcare Market Share, By Component, In USD Billion, 2016-2030F

Figure 56. Russia Artificial Intelligence in Healthcare Market Share, By Technology, In USD Billion, 2016-2030F

Figure 57. Russia Artificial Intelligence in Healthcare Market Share, By Application, In USD Billion, 2016-2030F

Figure 58. Russia Artificial Intelligence in Healthcare Market Share, By End-user, In USD Billion, 2016-2030F

Figure 59. Netherlands Artificial Intelligence in Healthcare Market, By Value, In USD Billion, 2016-2030F

Figure 60. Netherlands Artificial Intelligence in Healthcare Market Share, By Component, In USD Billion, 2016-2030F

Figure 61. Netherlands Artificial Intelligence in Healthcare Market Share, By Technology, In USD Billion, 2016-2030F

Figure 62. Netherlands Artificial Intelligence in Healthcare Market Share, By Application, In USD Billion, 2016-2030F

Figure 63. Netherlands Artificial Intelligence in Healthcare Market Share, By End-user, In USD Billion, 2016-2030F

Figure 64. Spain Artificial Intelligence in Healthcare Market, By Value, In USD Billion, 2016-2030F

Figure 65. Spain Artificial Intelligence in Healthcare Market Share, By Component, In USD Billion, 2016-2030F

Figure 66. Spain Artificial Intelligence in Healthcare Market Share, By Technology, In USD Billion, 2016-2030F

Figure 67. Spain Artificial Intelligence in Healthcare Market Share, By Application, In USD Billion, 2016-2030F

Figure 68. Spain Artificial Intelligence in Healthcare Market Share, By End-user, In USD Billion, 2016-2030F

Figure 69. Turkey Artificial Intelligence in Healthcare Market, By Value, In USD Billion, 2016-2030F

Figure 70. Turkey Artificial Intelligence in Healthcare Market Share, By Component, In USD Billion, 2016-2030F

Figure 71. Turkey Artificial Intelligence in Healthcare Market Share, By Technology, In USD Billion, 2016-2030F

Figure 72. Turkey Artificial Intelligence in Healthcare Market Share, By Application, In USD Billion, 2016-2030F

Figure 73. Turkey Artificial Intelligence in Healthcare Market Share, By End-user, In USD Billion, 2016-2030F

Figure 74. Poland Artificial Intelligence in Healthcare Market, By Value, In USD Billion, 2016-2030F

Figure 75. Poland Artificial Intelligence in Healthcare Market Share, By Component, In USD Billion, 2016-2030F

Figure 76. Poland Artificial Intelligence in Healthcare Market Share, By Technology, In USD Billion, 2016-2030F

Figure 77. Poland Artificial Intelligence in Healthcare Market Share, By Application, In USD Billion, 2016-2030F

Figure 78. Poland Artificial Intelligence in Healthcare Market Share, By End-user, In USD Billion, 2016-2030F

Figure 79. South America Artificial Intelligence in Healthcare Market, By Value, In USD Billion, 2016-2030F

Figure 80. South America Artificial Intelligence in Healthcare Market Share, By Component, In USD Billion, 2016-2030F

Figure 81. South America Artificial Intelligence in Healthcare Market Share, By Technology, In USD Billion, 2016-2030F

Figure 82. South America Artificial Intelligence in Healthcare Market Share, By Application, In USD Billion, 2016-2030F

Figure 83. South America Artificial Intelligence in Healthcare Market Share, By End-user, In USD Billion, 2016-2030F

Figure 84. South America Artificial Intelligence in Healthcare Market Share, By Country, In USD Billion, 2016-2030F

Figure 85. Brazil Artificial Intelligence in Healthcare Market, By Value, In USD Billion, 2016-2030F

Figure 86. Brazil Artificial Intelligence in Healthcare Market Share, By Component, In USD Billion, 2016-2030F

Figure 87. Brazil Artificial Intelligence in Healthcare Market Share, By Technology, In USD Billion, 2016-2030F

Figure 88. Brazil Artificial Intelligence in Healthcare Market Share, By Application, In USD Billion, 2016-2030F

Figure 89. Brazil Artificial Intelligence in Healthcare Market Share, By End-user, In USD Billion, 2016-2030F

Figure 90. Argentina Artificial Intelligence in Healthcare Market, By Value, In USD Billion, 2016-2030F

Figure 91. Argentina Artificial Intelligence in Healthcare Market Share, By Component, In USD Billion, 2016-2030F

Figure 92. Argentina Artificial Intelligence in Healthcare Market Share, By Technology, In USD Billion, 2016-2030F

Figure 93. Argentina Artificial Intelligence in Healthcare Market Share, By Application, In USD Billion, 2016-2030F

Figure 94. Argentina Artificial Intelligence in Healthcare Market Share, By End-user, In USD Billion, 2016-2030F

Figure 95. Asia-Pacific Artificial Intelligence in Healthcare Market, By Value, In USD Billion, 2016-2030F

Figure 96. Asia-Pacific Artificial Intelligence in Healthcare Market Share, By Component, In USD Billion, 2016-2030F

Figure 97. Asia-Pacific Artificial Intelligence in Healthcare Market Share, By Technology, In USD Billion, 2016-2030F

Figure 98. Asia-Pacific Artificial Intelligence in Healthcare Market Share, By Application, In USD Billion, 2016-2030F

Figure 99. Asia- Pacific Artificial Intelligence in Healthcare Market Share, By End-user, In USD Billion, 2016-2030F

Figure 100. Asia-Pacific Artificial Intelligence in Healthcare Market Share, By Country, In USD Billion, 2016-2030F

Figure 101. India Artificial Intelligence in Healthcare Market, By Value, In USD Billion, 2016-2030F

Figure 102. India Artificial Intelligence in Healthcare Market Share, By Component, In USD Billion, 2016-2030F

Figure 103. India Artificial Intelligence in Healthcare Market Share, By Technology, In USD Billion, 2016-2030F

Figure 104. India Artificial Intelligence in Healthcare Market Share, By Application, In USD Billion, 2016-2030F

Figure 105. India Artificial Intelligence in Healthcare Market Share, By End-user, In USD Billion, 2016-2030F

Figure 106. China Artificial Intelligence in Healthcare Market, By Value, In USD Billion, 2016-2030F

Figure 107. China Artificial Intelligence in Healthcare Market Share, By Component, In USD Billion, 2016-2030F

Figure 108. China Artificial Intelligence in Healthcare Market Share, By Technology, In USD Billion, 2016-2030F

Figure 109. China Artificial Intelligence in Healthcare Market Share, By Application, In USD Billion, 2016-2030F

Figure 110. China Artificial Intelligence in Healthcare Market Share, By End-user, In USD Billion, 2016-2030F

Figure 111. Japan Artificial Intelligence in Healthcare Market, By Value, In USD Billion, 2016-2030F

Figure 112. Japan Artificial Intelligence in Healthcare Market Share, By Component, In USD Billion, 2016-2030F

Figure 113. Japan Artificial Intelligence in Healthcare Market Share, By Technology, In USD Billion, 2016-2030F

Figure 114. Japan Artificial Intelligence in Healthcare Market Share, By Application, In USD Billion, 2016-2030F

Figure 115. Japan Artificial Intelligence in Healthcare Market Share, By End-user, In USD Billion, 2016-2030F

Figure 116. Australia Artificial Intelligence in Healthcare Market, By Value, In USD Billion, 2016-2030F

Figure 117. Australia Artificial Intelligence in Healthcare Market Share, By Component, In USD Billion, 2016-2030F

Figure 118. Australia Artificial Intelligence in Healthcare Market Share, By Technology, In USD Billion, 2016-2030F

Figure 119. Australia Artificial Intelligence in Healthcare Market Share, By Application, In USD Billion, 2016-2030F

Figure 120. Australia Artificial Intelligence in Healthcare Market Share, By End-user, In USD Billion, 2016-2030F

Figure 121. Vietnam Artificial Intelligence in Healthcare Market, By Value, In USD Billion, 2016-2030F

Figure 122. Vietnam Artificial Intelligence in Healthcare Market Share, By Component, In USD Billion, 2016-2030F

Figure 123. Vietnam Artificial Intelligence in Healthcare Market Share, By Technology, In USD Billion, 2016-2030F

Figure 124. Vietnam Artificial Intelligence in Healthcare Market Share, By Application, In USD Billion, 2016-2030F

Figure 125. Vietnam Artificial Intelligence in Healthcare Market Share, By End-user, In USD Billion, 2016-2030F

Figure 126. South Korea Artificial Intelligence in Healthcare Market, By Value, In USD Billion, 2016-2030F

Figure 127. South Korea Artificial Intelligence in Healthcare Market Share, By Component, In USD Billion, 2016-2030F

Figure 128. South Korea Artificial Intelligence in Healthcare Market Share, By Technology, In USD Billion, 2016-2030F

Figure 129. South Korea Artificial Intelligence in Healthcare Market Share, By Application, In USD Billion, 2016-2030F

Figure 130. South Korea Artificial Intelligence in Healthcare Market Share, By End-user, In USD Billion, 2016-2030F

Figure 131. Indonesia Artificial Intelligence in Healthcare Market, By Value, In USD Billion, 2016-2030F

Figure 132. Indonesia Artificial Intelligence in Healthcare Market Share, By Component, In USD Billion, 2016-2030F

Figure 133. Indonesia Artificial Intelligence in Healthcare Market Share, By Technology, In USD Billion, 2016-2030F

Figure 134. Indonesia Artificial Intelligence in Healthcare Market Share, By Application, In USD Billion, 2016-2030F

Figure 135. Indonesia Artificial Intelligence in Healthcare Market Share, By End-user, In USD Billion, 2016-2030F

Figure 136. Philippines Artificial Intelligence in Healthcare Market, By Value, In USD Billion, 2016-2030F

Figure 137. Philippines Artificial Intelligence in Healthcare Market Share, By Component, In USD Billion, 2016-2030F

Figure 138. Philippines Artificial Intelligence in Healthcare Market Share, By Technology, In USD Billion, 2016-2030F

Figure 139. Philippines Artificial Intelligence in Healthcare Market Share, By Application, In USD Billion, 2016-2030F

Figure 140. Philippines Artificial Intelligence in Healthcare Market Share, By End-user, In USD Billion, 2016-2030F

Figure 141. Middle East & Africa Artificial Intelligence in Healthcare Market, By Value, In USD Billion, 2016-2030F

Figure 142. Middle East & Africa Artificial Intelligence in Healthcare Market Share, By Component, In USD Billion, 2016-2030F

Figure 143. Middle East & Africa Artificial Intelligence in Healthcare Market Share, By Technology, In USD Billion, 2016-2030F

Figure 144. Middle East & Africa Artificial Intelligence in Healthcare Market Share, By Application, In USD Billion, 2016-2030F

Figure 145. Middle East & Africa Artificial Intelligence in Healthcare Market Share, By End-user, In USD Billion, 2016-2030F

Figure 146. Middle East & Africa Artificial Intelligence in Healthcare Market Share, By Country, In USD Billion, 2016-2030F

Figure 147. Saudi Arabia Artificial Intelligence in Healthcare Market, By Value, In USD Billion, 2016-2030F

Figure 148. Saudi Arabia Artificial Intelligence in Healthcare Market Share, By Component, In USD Billion, 2016-2030F

Figure 149. Saudi Arabia Artificial Intelligence in Healthcare Market Share, By Technology, In USD Billion, 2016-2030F

Figure 150. Saudi Arabia Artificial Intelligence in Healthcare Market Share, By Application, In USD Billion, 2016-2030F

Figure 151. Saudi Arabia Artificial Intelligence in Healthcare Market Share, By End-user, In USD Billion, 2016-2030F

Figure 152. UAE Artificial Intelligence in Healthcare Market, By Value, In USD Billion, 2016-2030F

Figure 153. UAE Artificial Intelligence in Healthcare Market Share, By Component, In USD Billion, 2016-2030F

Figure 154. UAE Artificial Intelligence in Healthcare Market Share, By Technology, In USD Billion, 2016-2030F

Figure 155. UAE Artificial Intelligence in Healthcare Market Share, By Application, In USD Billion, 2016-2030F

Figure 156. UAE Artificial Intelligence in Healthcare Market Share, By End-user, In USD Billion, 2016-2030F

Figure 157. South Africa Artificial Intelligence in Healthcare Market, By Value, In USD Billion, 2016-2030F

Figure 158. South Africa Artificial Intelligence in Healthcare Market Share, By Component, In USD Billion, 2016-2030F

Figure 159. South Africa Artificial Intelligence in Healthcare Market Share, By Technology, In USD Billion, 2016-2030F

Figure 160. South Africa Artificial Intelligence in Healthcare Market Share, By Application, In USD Billion, 2016-2030F

Figure 161. South Africa Artificial Intelligence in Healthcare Market Share, By End-user, In USD Billion, 2016-2030F

Figure 162. By Component Map-Market Size (USD Billion) & Growth Rate (%), 2022

Figure 163. By Technology Map-Market Size (USD Billion) & Growth Rate (%), 2022

Figure 164. By Application Map-Market Size (USD Billion) & Growth Rate (%), 2022

Figure 165. By End-user Map-Market Size (USD Billion) & Growth Rate (%), 2022

Figure 166. By Region Map-Market Size (USD Billion) & Growth Rate (%), 2022

LIST OF TABLE - GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET

Table 1. Pricing Analysis of Products from Key Players

Table 2. Competition Matrix of Top 5 Market Leaders

Table 3. Mergers & Acquisitions/ Joint Ventures (If Applicable)

Table 4. About Us - Regions and Countries Where We Have Executed Client Projects

What is the market size and growth rate of the Global AI in Healthcare Market?

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