The global AI in healthcare market was valued at $8.23 Billion in 2020, and is projected to reach $194.14 billion by 2030, growing at a CAGR of 38.1% from 2021 to 2030.
Artificial intelligence (AI) can be defined as the science and engineering adopted to design intelligent machines, especially intelligent computer programs. AI is an intelligent system that applies various human intelligence-based functions such as reasoning, learning, and problem-solving skills on different disciplines such as biology, computer science, mathematics, linguistics, psychology, and engineering. AI is widely applicable in medication management, treatment plans, and drug discovery.
The impact of COVID-19 pandemic is expected to remain positive for the AI in healthcare market owing to increase in usage of AI tools to detect & diagnose the virus and retorting to the outbreak through personalized information and learning, one of them being AI in healthcare. For instance, In February 2020, British AI-startup Benevolent AI published article in which AI tools are used to identify approved drugs that might block the viral replication process of SARS-CoV-2.
In addition, as per study the artificial intelligence in healthcare market is projected to boost the growth in future as many key players such as IBM, and Microsoft are using AI technologies to add value to their customers.
Moreover, IBM has made its AI platform ‘Watson Assistant for Citizens’ on the public cloud available free of charge for at least 90 days. It helps people to recognize and respond to queries about COVID-19. For Instance, in April 2020, Microsoft investment $20 million to help in COVID-19 research with the use of artificial intelligence technology and data sciences, mainly focusing on hospital resources, diagnostics, and other critical areas. Thus, AI has emerged as a boon to control the COVID-19 pandemic.
The growth of the global AI in healthcare market is driven by the ability of AI to improve patient outcomes, need to increase coordination between healthcare workforce & patients, increase in adoption of precision medicine, and a notable rise in venture capital investments. In addition, rise in importance of big data in healthcare is expected to fuel the market growth. Furthermore, technological advancements in AI systems are anticipated to augment the market growth. Prospective of AI-based tools for elderly care and the untapped potential of emerging markets, such as China and India, are expected to present various opportunities for market expansion.
However, an imprecise regulatory scenario and reluctance among healthcare professionals to adopt AI-based technologies are expected to hamper the market growth.
The AI in healthcare market is segmented on the basis of offering, algorithm, application, end user, and region. By offering, the market is divided into hardware, software, and services. By algorithm, it is classified into deep learning, querying method, natural language processing, and context aware processing. By application, it is fragmented into robot-assisted surgery, virtual nursing assistant, administrative workflow assistance, fraud detection, dosage error reduction, clinical trial participant identifier, preliminary diagnosis, and others. By end user, it is categorized into healthcare providers, pharmaceutical & biotechnology companies, patients, and payers. Region-wise, it is analyzed across North America, Europe, Asia-Pacific, and LAMEA.
Some of the key players operating in the global AI in healthcare market include Welltok, Inc., Intel Corporation, NVidia Corporation, Google Inc., IBM Corporation, Microsoft Corporation, General Vision, Inc., Enlitic, Inc., Next IT Corporation, ICarbonX, Shimadzu Recursion Pharmaceuticals, Inc., Siemens Healthineers, General Electric (GE) Company, Koninklijke Philips N.V., Cloudmedx, Inc., and Bay Labs, Inc.
Artificial intelligence (AI) can be defined as the science and engineering adopted to design intelligent machines, especially intelligent computer programs. AI is an intelligent system that applies various human intelligence-based functions such as reasoning, learning, and problem-solving skills on different disciplines such as biology, computer science, mathematics, linguistics, psychology, and engineering. AI is widely applicable in medication management, treatment plans, and drug discovery.
The impact of COVID-19 pandemic is expected to remain positive for the AI in healthcare market owing to increase in usage of AI tools to detect & diagnose the virus and retorting to the outbreak through personalized information and learning, one of them being AI in healthcare. For instance, In February 2020, British AI-startup Benevolent AI published article in which AI tools are used to identify approved drugs that might block the viral replication process of SARS-CoV-2.
In addition, as per study the artificial intelligence in healthcare market is projected to boost the growth in future as many key players such as IBM, and Microsoft are using AI technologies to add value to their customers.
Moreover, IBM has made its AI platform ‘Watson Assistant for Citizens’ on the public cloud available free of charge for at least 90 days. It helps people to recognize and respond to queries about COVID-19. For Instance, in April 2020, Microsoft investment $20 million to help in COVID-19 research with the use of artificial intelligence technology and data sciences, mainly focusing on hospital resources, diagnostics, and other critical areas. Thus, AI has emerged as a boon to control the COVID-19 pandemic.
The growth of the global AI in healthcare market is driven by the ability of AI to improve patient outcomes, need to increase coordination between healthcare workforce & patients, increase in adoption of precision medicine, and a notable rise in venture capital investments. In addition, rise in importance of big data in healthcare is expected to fuel the market growth. Furthermore, technological advancements in AI systems are anticipated to augment the market growth. Prospective of AI-based tools for elderly care and the untapped potential of emerging markets, such as China and India, are expected to present various opportunities for market expansion.
However, an imprecise regulatory scenario and reluctance among healthcare professionals to adopt AI-based technologies are expected to hamper the market growth.
The AI in healthcare market is segmented on the basis of offering, algorithm, application, end user, and region. By offering, the market is divided into hardware, software, and services. By algorithm, it is classified into deep learning, querying method, natural language processing, and context aware processing. By application, it is fragmented into robot-assisted surgery, virtual nursing assistant, administrative workflow assistance, fraud detection, dosage error reduction, clinical trial participant identifier, preliminary diagnosis, and others. By end user, it is categorized into healthcare providers, pharmaceutical & biotechnology companies, patients, and payers. Region-wise, it is analyzed across North America, Europe, Asia-Pacific, and LAMEA.
Some of the key players operating in the global AI in healthcare market include Welltok, Inc., Intel Corporation, NVidia Corporation, Google Inc., IBM Corporation, Microsoft Corporation, General Vision, Inc., Enlitic, Inc., Next IT Corporation, ICarbonX, Shimadzu Recursion Pharmaceuticals, Inc., Siemens Healthineers, General Electric (GE) Company, Koninklijke Philips N.V., Cloudmedx, Inc., and Bay Labs, Inc.
KEY BENEFITS FOR STAKEHOLDERS
- This report entails a detailed quantitative analysis along with the current AI in healthcare market trends from 2020 to 2030 to identify the prevailing opportunities along with the strategic assessment.
- The global AI in healthcare market forecast is studied from 2020 to 2030.
- The market size and estimations are based on a comprehensive analysis of key developments in the AI in healthcare industry.
- A qualitative analysis based on innovative products facilitates strategic business planning.
- The development strategies adopted by the key market players are enlisted to understand the competitive scenario of the global AI in healthcare market.
KEY MARKET SEGMENTS
By Offering
- Hardware
- Software
- Services
By Algorithms
- Deep Learning
- Querying Method
- Natural Language Processing
- Context Aware Processing
By Application
- Robot-assisted Surgery
- Virtual Nursing Assistant
- Administrative Workflow Assistance
- Fraud Detection
- Dosage Error Reduction
- Clinical Trial Participant Identifier
- Preliminary Diagnosis
- Others
By End User
- Healthcare Providers
- Pharmaceutical & Biotechnology Company
- Patients
- Payers
By Region
- North America
- U.S.
- Canada
- Mexico
- Europe
- Germany
- France
- UK
- Italy
- Spain
- Rest of Europe
- Asia-Pacific
- Japan
- China
- India
- Australia
- Rest of Asia-Pacific
- LAMEA
- Brazil
- South Africa
- Saudi Arabia
- Rest of LAMEA
KEY MARKET PLAYERS
- Welltok, Inc.
- Intel Corporation
- Nvidia Corporation
- Google Inc.
- IBM Corporation
- Microsoft Corporation
- General Vision, Inc.
- Enlitic, Inc.
- Next IT Corporation
- iCarbonX
List of other players in the value chain (profiles not included in the report):
- Shimadzu Recursion Pharmaceuticals, Inc.
- Siemens Healthineers
- General Electric (GE) Company
- Koninklijke Philips N.V.
- Cloudmedx, Inc.
- Bay Labs, Inc.
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Table of Contents
CHAPTER 1: INTRODUCTION1.1. Report description1.2. Key benefits for stakeholders
1.3. Key market segments
1.4. Research methodology
1.4.1. Secondary research
1.4.2. Primary research
1.4.3. Analyst tools and models
CHAPTER 2: EXECUTIVE SUMMARY2.1. CXO perspective
CHAPTER 3: MARKET OVERVIEW3.1. Market definition and scope
3.2. Key findings
3.2.1. Top investment pockets
3.2.2. Top winning strategies
3.2.3. Top Player Positioning
3.3. Subsidy programs and funding
3.4. Porter’s five forces analysis
3.5. Regulations and reimbursement scenario
3.6. Market dynamics
3.6.1. Drivers
3.6.1.1. Increase in processing power of AI systems leading to enhanced AI capabilities
3.6.1.2. Dearth of skilled healthcare professionals
3.6.1.3. Application of AI for novel surgeries and screening
3.6.2. Restraints
3.6.2.1. Limitations of AI decision-making
3.6.2.2. Limited acceptance from healthcare professionals owing to risk of injury and misinterpretation
3.6.3. Opportunities
3.6.3.1. Untapped market in developing regions
3.6.4. Impact analysis
3.7. Impact of Covid-19 on the market
CHAPTER 4: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY OFFERING4.1. Overview
4.1.1. Market size and forecast
4.2. Hardware
4.2.1. Key market trends and opportunities
4.2.2. Market size and forecast
4.2.3. Market analysis, by country
4.3. Software
4.3.1. Key market trends and opportunities
4.3.2. Market size and forecast
4.3.3. Market analysis, by country
4.4. Services
4.4.1. Key market trends and opportunities
4.4.2. Market size and forecast
4.4.3. Market analysis, by country
CHAPTER 5: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY ALGORITHM5.1. Overview
5.1.1. Market size and forecast
5.2. Deep learning
5.2.1. Market size and forecast
5.2.2. Market analysis, by country
5.3. Querying method
5.3.1. Market size and forecast
5.3.2. Market analysis, by country
5.4. Natural language processing
5.4.1. Market size and forecast
5.4.2. Market analysis, by country
5.5. Context aware processing
5.5.1. Market size and forecast
5.5.2. Market analysis, by country
CHAPTER 6: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY APPLICATION6.1. Overview
6.1.1. Market size and forecast
6.2. Robot-assisted surgery
6.2.1. Market size and forecast
6.2.2. Market analysis, by country
6.3. Virtual nursing assistant
6.3.1. Market size and forecast
6.3.2. Market analysis, by country
6.4. Administrative workflow assistance
6.4.1. Market size and forecast
6.4.2. Market analysis, by country
6.5. Fraud detection
6.5.1. Market size and forecast
6.5.2. Market analysis, by country
6.6. Dosage error reduction
6.6.1. Market size and forecast
6.6.2. Market analysis, by country
6.7. Clinical trial participant identifier
6.7.1. Market size and forecast
6.7.2. Market analysis, by country
6.8. Preliminary diagnosis
6.8.1. Market size and forecast
6.8.2. Market analysis, by country
6.9. Others
6.9.1. Market size and forecast
6.9.2. Market analysis, by country
CHAPTER 7: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER7.1. Overview
7.1.1. Market size and forecast
7.2. Healthcare providers
7.2.1. Market size and forecast
7.2.2. Market analysis, by country
7.3. Pharmaceuticals & biotechnology companies
7.3.1. Market size and forecast
7.3.2. Market analysis, by country
7.4. Patients
7.4.1. Market size and forecast
7.4.2. Market analysis, by country
7.5. Payer
7.5.1. Market size and forecast
7.5.2. Market analysis, by country
CHAPTER 8: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY REGION8.1. Overview
8.1.1. Market size and forecast
8.2. North America
8.2.1. Key market trends and opportunities
8.2.2. Market size and forecast, by country
8.2.3. Market size and forecast, by offering
8.2.4. Market size and forecast, by algorithms
8.2.5. Market size and forecast, by application
8.2.6. Market size and forecast, by end user
8.2.8. U.S.
8.2.8.1. U.S. Market size and forecast, by offering
8.2.8.2. U.S. Market size and forecast, by algorithms
8.2.8.3. U.S. Market size and forecast, by application
8.2.8.4. U.S. Market size and forecast, by end user
8.2.9. Canada
8.2.9.1. Canada Market size and forecast, by offering
8.2.9.2. Canada Market size and forecast, by algorithms
8.2.9.3. Canada Market size and forecast, by application
8.2.9.4. Canada Market size and forecast, by end user
8.2.9.5. Mexico Market size and forecast, by offering
8.2.9.6. Mexico Market size and forecast, by algorithms
8.2.9.7. Mexico Market size and forecast, by application
8.2.9.8. Mexico Market size and forecast, by end user
8.3. Europe
8.3.1. Key market trends and opportunities
8.3.2. Market size and forecast, by country
8.3.3. Market size and forecast, by offering
8.3.4. Market size and forecast, by algorithms
8.3.5. Market size and forecast, by application
8.3.6. Market size and forecast, by end user
8.3.6.1. Germany Market size and forecast, by offering
8.3.6.2. Germany Market size and forecast, by algorithms
8.3.6.3. Germany Market size and forecast, by application
8.3.6.4. Germany Market size and forecast, by end user
8.3.6.5. France Market size and forecast, by offering
8.3.6.6. France Market size and forecast, by algorithms
8.3.6.7. France Market size and forecast, by application
8.3.6.8. France Market size and forecast, by end user
8.3.6.9. UK Market size and forecast, by offering
8.3.6.10. UK Market size and forecast, by algorithms
8.3.6.11. UK Market size and forecast, by application
8.3.6.12. UK Market size and forecast, by end user
8.3.6.13. Italy Market size and forecast, by offering
8.3.6.14. Italy Market size and forecast, by algorithms
8.3.6.15. Italy Market size and forecast, by application
8.3.6.16. Italy Market size and forecast, by end user
8.3.6.17. Spain Market size and forecast, by offering
8.3.6.18. Spain Market size and forecast, by algorithms
8.3.6.19. Spain Market size and forecast, by application
8.3.6.20. Spain Market size and forecast, by end user
8.3.6.21. Rest of Europe Market size and forecast, by offering
8.3.6.22. Rest of Europe Market size and forecast, by algorithms
8.3.6.23. Rest of Europe Market size and forecast, by application
8.3.6.24. Rest of Europe Market size and forecast, by end user
8.4. Asia-Pacific
8.4.1. Key market trends and opportunities
8.4.2. Market size and forecast, by offering
8.4.3. Market size and forecast, by algorithms
8.4.4. Market size and forecast, by application
8.4.5. Market size and forecast, by end user
8.4.6. Market size and forecast, by country
8.4.6.1. Japan Market size and forecast, by offering
8.4.6.2. Japan Market size and forecast, by algorithms
8.4.6.3. Japan Market size and forecast, by application
8.4.6.4. Japan Market size and forecast, by end user
8.4.6.5. China Market size and forecast, by offering
8.4.6.6. China Market size and forecast, by algorithms
8.4.6.7. China Market size and forecast, by application
8.4.6.8. China Market size and forecast, by end user
8.4.6.9. Australia Market size and forecast, by offering
8.4.6.10. Australia Market size and forecast, by algorithms
8.4.6.11. Australia Market size and forecast, by application
8.4.6.12. Australia Market size and forecast, by end user
8.4.6.13. India Market size and forecast, by offering
8.4.6.14. India Market size and forecast, by algorithms
8.4.6.15. India Market size and forecast, by application
8.4.6.16. India Market size and forecast, by end user
8.4.6.17. South Korea Market size and forecast, by offering
8.4.6.18. South Korea Market size and forecast, by algorithms
8.4.6.19. South Korea Market size and forecast, by application
8.4.6.20. South Korea Market size and forecast, by end user
8.4.6.21. Taiwan Market size and forecast, by offering
8.4.6.22. Taiwan Market size and forecast, by algorithms
8.4.6.23. Taiwan Market size and forecast, by application
8.4.6.24. Taiwan Market size and forecast, by end user
8.4.6.25. Rest of Asia-Pacific Market size and forecast, by offering
8.4.6.26. Rest of Asia-Pacific Market size and forecast, by algorithms
8.4.6.27. Rest of Asia-Pacific Market size and forecast, by application
8.4.6.28. Rest of Asia-Pacific Market size and forecast, by end user
8.5. LAMEA
8.5.1. Key market trends and opportunities
8.5.2. Market size and forecast, by offering
8.5.3. Market size and forecast, by algorithms
8.5.4. Market size and forecast, by application
8.5.5. Market size and forecast, by end user
8.5.6. Market size and forecast, by country
8.5.6.1. Brazil Market size and forecast, by offering
8.5.6.2. Brazil Market size and forecast, by algorithms
8.5.6.3. Brazil Market size and forecast, by application
8.5.6.4. Brazil Market size and forecast, by end user
8.5.6.5. Saudi Arabia Market size and forecast, by offering
8.5.6.6. Saudi Arabia Market size and forecast, by algorithms
8.5.6.7. Saudi Arabia Market size and forecast, by application
8.5.6.8. Saudi Arabia Market size and forecast, by end user
8.5.6.9. South Africa Market size and forecast, by offering
8.5.6.10. South Africa Market size and forecast, by algorithms
8.5.6.11. South Africa Market size and forecast, by application
8.5.6.12. South Africa Market size and forecast, by end user
8.5.6.13. Rest of LAMEA Market size and forecast, by offering
8.5.6.14. Rest of LAMEA Market size and forecast, by algorithms
8.5.6.15. Rest of LAMEA Market size and forecast, by application
8.5.6.16. Rest of LAMEA Market size and forecast, by end user
CHAPTER 9: COMPANY PROFILES9.1. Alphabet Inc. (Google Inc.)
9.1.1. Company overview
9.1.1. Company snapshot
9.1.2. Operating business segments
9.1.3. Product portfolio
9.1.4. Business performance
9.2. Enlitic Inc.
9.2.1. Company overview
9.2.2. Company snapshot
9.2.3. Product portfolio
9.2.4. Key strategic moves and developments
9.3. General Vision
9.3.1. Company overview
9.3.2. Company snapshot
9.3.3. Operating business segments
9.3.4. Product portfolio
9.3.5. Key strategic moves and developments
9.4. iCarbonX
9.4.1. Company overview
9.4.2. Company snapshot
9.4.3. Product portfolio
9.5. Intel Corporation
9.5.1. Company overview
9.5.2. Company snapshot
9.5.3. Operating business segments
9.5.4. Product portfolio
9.5.5. Business performance
9.5.6. Key strategic moves and developments
9.6. IBM Corporation
9.6.1. Company overview
9.6.2. Company snapshot
9.6.3. Operating business segments
9.6.4. Product portfolio
9.6.5. Business performance
9.6.6. Key strategic moves and developments
9.7. Microsoft Corporation
9.7.1. Company overview
9.7.2. Company snapshot
9.7.3. Operating business segments
9.7.4. Product portfolio
9.7.5. Business performance
9.7.6. Key strategic moves and developments
9.8. Nvidia Corporation
9.8.1. Company overview
9.8.2. Company snapshot
9.8.3. Operating business segments
9.8.4. Product portfolio
9.8.5. Business performance
9.8.6. Key strategic moves and developments
9.9. Next IT Corp.
9.9.1. Company overview
9.9.2. Company snapshot
9.9.3. Operating business segments
9.9.4. Product portfolio
9.10. Welltok Inc.
9.10.1. Company overview
9.10.2. Company snapshot
9.10.3. Operating business segments
9.10.4. Product portfolio
9.10.5. Key strategic moves and developments
List of Tables
TABLE 01. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY OFFERING, 20202-2030 ($MILLION)
TABLE 02. HARDWARE ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY REGION, 2020-2030 ($MILLION)
TABLE 03. SOFTWARE ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY REGION, 2020-2030 ($MILLION)
TABLE 04. ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, FOR SERVICES, BY REGION, 2020-2030 ($MILLION)
TABLE 05. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY ALGORITHMS, 2020-2030($MILLION)
TABLE 06. DEEP LEARNING ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY REGION, 2020-2030 ($MILLION)
TABLE 07. QUERYING METHOD ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY REGION, 2020-2030($MILLION)
TABLE 08. NATURAL LANGUAGE PROCESSING ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY REGION, 2020-2030 ($MILLION)
TABLE 09. CONTEXT AWARE PROCESSING ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY REGION, 2020-2030 ($MILLION)
TABLE 10. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY APPLICATION, 2020-2030 ($MILLION)
TABLE 11. ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET FOR ROBOT-ASSISTED SURGERY, BY REGION, 2020-2030 ($MILLION)
TABLE 12. ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET FOR VIRTUAL NURSING ASSISTANT, BY REGION, 2020-2030 ($MILLION)
TABLE 13. ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET FOR ADMINISTRATIVE WORKFLOW ASSISTANCE, BY REGION, 2020-2030 ($MILLION)
TABLE 14. ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET FOR FRAUD DETECTION, BY REGION, 2020-2030 ($MILLION)
TABLE 15. ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET FOR DOSAGE ERROR REDUCTION, BY REGION, 2020-2030 ($MILLION)
TABLE 16. ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET FOR CLINICAL TRIAL PARTICIPANT IDENTIFIER, BY REGION, 2020-2030 ($MILLION)
TABLE 17. ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET FOR PRELIMINARY DIAGNOSIS, BY REGION, 2020-2030 ($MILLION)
TABLE 18. ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET FOR OTHERS, BY REGION, 2020-2030 ($MILLION)
TABLE 19. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2020-2030 ($MILLION)
TABLE 20. ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET FOR HEALTHCARE PROVIDERS, BY REGION, 2020-2030 ($MILLION)
TABLE 21. ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET FOR PHARMACEUTICALS & BIOTECHNOLOGY COMPANIES, BY REGION, 2020-2030 ($MILLION)
TABLE 22. ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET FOR PATIENTS, BY REGION, 2020-2030 ($MILLION)
TABLE 23. ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET FOR PAYER, BY REGION, 2020-2030 ($MILLION)
TABLE 24. ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY REGION, 2020-2030 ($MILLION)
TABLE 25. NORTH AMERICA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY COUNTRY, 2020-2030 ($MILLION)
TABLE 26. NORTH AMERICA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY OFFERING, 2020-2030 ($MILLION)
TABLE 27. NORTH AMERICA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY ALGORITHMS, 2020-2030 ($MILLION)
TABLE 28. NORTH AMERICA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY APPLICATION, 2020-2030 ($MILLION)
TABLE 29. NORTH AMERICA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2020-2030 ($MILLION)
TABLE 30. U.S. ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY OFFERING, 2020-2030 ($MILLION)
TABLE 31. U.S. ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY ALGORITHMS, 2020-2030 ($MILLION)
TABLE 32. U.S. ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY APPLICATION, 2020-2030 ($MILLION)
TABLE 33. U.S. ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2020-2030 ($MILLION
TABLE 34. CANADA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY OFFERING, 2020-2030 ($MILLION)
TABLE 35. CANADA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY ALGORITHMS, 2020-2030 ($MILLION)
TABLE 36. CANADA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY APPLICATION, 2020-2030 ($MILLION)
TABLE 37. CANADA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2020-2030 ($MILLION)
TABLE 38. MEXICO ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY OFFERING, 2020-2030 ($MILLION)
TABLE 39. MEXICO ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY ALGORITHMS, 2020-2030 ($MILLION)
TABLE 40. MEXICO ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY APPLICATION, 2020-2030 ($MILLION)
TABLE 41. MEXICO ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2020-2030 ($MILLION)
TABLE 42. EUROPE ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY COUNTRY, 2020-2030 ($MILLION)
TABLE 43. EUROPE ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY OFFERING, 2020-2030 ($MILLION)
TABLE 44. EUROPE ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY ALGORITHMS, 2020-2030 ($MILLION)
TABLE 45. EUROPE ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY APPLICATION, 2020-2030 ($MILLION)
TABLE 46. EUROPE ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2020-2030 ($MILLION)
TABLE 47. GERMANY ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY OFFERING, 2020-2030 ($MILLION)
TABLE 48. GERMANY ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY ALGORITHMS, 2020-2030 ($MILLION)
TABLE 49. GERMANY ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY APPLICATION, 2020-2030 ($MILLION)
TABLE 50. GERMANY ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2020-2030 ($MILLION)
TABLE 51. FRANCE ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY OFFERING, 2020-2030 ($MILLION)
TABLE 52. FRANCE ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY ALGORITHMS, 2020-2030 ($MILLION)
TABLE 53. FRANCE ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY APPLICATION, 2020-2030 ($MILLION)
TABLE 54. FRANCE ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2020-2030 ($MILLION)
TABLE 55. UK ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY OFFERING, 2020-2030 ($MILLION)
TABLE 56. UK ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY ALGORITHMS, 2020-2030 ($MILLION)
TABLE 57. UK ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY APPLICATION, 2020-2030 ($MILLION)
TABLE 58. UK ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2020-2030 ($MILLION)
TABLE 59. ITALY ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY OFFERING, 2020-2030 ($MILLION)
TABLE 60. ITALY ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY ALGORITHMS, 2020-2030 ($MILLION)
TABLE 61. ITALY ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY APPLICATION, 2020-2030 ($MILLION)
TABLE 62. ITALY ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2020-2030 ($MILLION)
TABLE 63. SPAIN ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY OFFERING, 2020-2030 ($MILLION)
TABLE 64. SPAIN ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY ALGORITHMS, 2020-2030 ($MILLION)
TABLE 65. SPAIN ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY APPLICATION, 2020-2030 ($MILLION)
TABLE 66. SPAIN ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2020-2030 ($MILLION)
TABLE 67. REST OF EUROPE ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY OFFERING, 2020-2030 ($MILLION)
TABLE 68. REST OF EUROPE ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY ALGORITHMS, 2019-2027 ($MILLION)
TABLE 69. REST OF EUROPE ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY APPLICATION, 2020-2030 ($MILLION)
TABLE 70. REST OF EUROPE ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2020-2030 ($MILLION)
TABLE 71. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY OFFERING, 2020-2030 ($MILLION)
TABLE 72. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY ALGORITHMS, 2020-2039 ($MILLION)
TABLE 73. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY APPLICATION, 2020-2030($MILLION)
TABLE 74. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2020-2030 ($MILLION)
TABLE 75. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY COUNTRY, 2020-2030($MILLION)
TABLE 76. JAPAN ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY OFFERING, 2020-2030 ($MILLION)
TABLE 77. JAPAN ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY ALGORITHMS, 2019-2027 ($MILLION)
TABLE 78. JAPAN ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY APPLICATION, 2020-2030 ($MILLION)
TABLE 79. JAPAN ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2020-2030 ($MILLION)
TABLE 80. CHINA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY OFFERING, 2020-2030 ($MILLION)
TABLE 81. CHINA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY ALGORITHMS, 2020-2030 ($MILLION)
TABLE 82. CHINA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY APPLICATION, 2020-2030 ($MILLION)
TABLE 83. CHINA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2020-2030($MILLION)
TABLE 84. AUSTRALIA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY OFFERING, 2020-2030 ($MILLION)
TABLE 85. AUSTRALIA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY ALGORITHMS, 2020-2030 ($MILLION)
TABLE 86. AUSTRALIA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY APPLICATION, 2020-2030 ($MILLION)
TABLE 87. AUSTRALIA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2020-2030 ($MILLION)
TABLE 88. INDIA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY OFFERING, 2020-2030 ($MILLION)
TABLE 89. INDIA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY ALGORITHMS, 2020-2030 ($MILLION)
TABLE 90. INDIA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY APPLICATION, 2020-2030 ($MILLION)
TABLE 91. INDIA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2020-2030 ($MILLION)
TABLE 92. SOUTH KOREA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY OFFERING, 2020-2030 ($MILLION)
TABLE 93. SOUTH KOREA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY ALGORITHMS, 2019-2027 ($MILLION)
TABLE 94. SOUTH KOREA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY APPLICATION, 2020-2030($MILLION)
TABLE 95. SOUTH KOREA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2020-2030($MILLION)
TABLE 96. TAIWAN ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY OFFERING, 2020-2030 ($MILLION)
TABLE 97. TAIWAN ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY ALGORITHMS, 2020-2030 ($MILLION)
TABLE 98. TAIWAN ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY APPLICATION, 2020-2030 ($MILLION)
TABLE 99. TAIWAN ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2020-2030 ($MILLION)
TABLE 100. REST OF ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY OFFERING, 2020-2030 ($MILLION)
TABLE 101. REST OF ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY ALGORITHMS, 2020-2030 ($MILLION)
TABLE 102. REST OF ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY APPLICATION, 2020-2030 ($MILLION)
TABLE 103. REST OF ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2020-2030 ($MILLION)
TABLE 104. LAMEA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY OFFERING, 2020-2030 ($MILLION)
TABLE 105. LAMEA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY ALGORITHMS, 2020-2030 ($MILLION)
TABLE 106. LAMEA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY APPLICATION, 2020-2030 ($MILLION)
TABLE 107. LAMEA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2020-2030 ($MILLION)
TABLE 108. LAMEA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY COUNTRY, 2020-2030 ($MILLION)
TABLE 109. BRAZIL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY OFFERING, 2020-2030 ($MILLION)
TABLE 110. BRAZIL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY ALGORITHMS, 2020-2030 ($MILLION)
TABLE 111. BRAZIL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY APPLICATION, 2019-2027 ($MILLION)
TABLE 112. BRAZIL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2020-2030 ($MILLION)
TABLE 113. SAUDI ARABIA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY OFFERING, 2020-2030 ($MILLION)
TABLE 114. SAUDI ARABIA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY ALGORITHMS, 2020-2030 ($MILLION)
TABLE 115. SAUDI ARABIA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY APPLICATION, 2020-2030 ($MILLION)
TABLE 116. SAUDI ARABIA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2020-2030 ($MILLION)
TABLE 117. SOUTH AFRICA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY OFFERING, 2020-2030 ($MILLION)
TABLE 118. SOUTH AFRICA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY ALGORITHMS, 2020-2030 ($MILLION)
TABLE 119. SOUTH AFRICA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY APPLICATION, 2020-2030 ($MILLION)
TABLE 120. SOUTH AFRICA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2020-2030 ($MILLION)
TABLE 121. REST OF LAMEA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY OFFERING, 2020-2030 ($MILLION)
TABLE 122. REST OF LAMEA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY ALGORITHMS, 2020-2030 ($MILLION)
TABLE 123. REST OF LAMEA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY APPLICATION, 2020-2030 ($MILLION)
TABLE 124. REST OF LAMEA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2019-2027 ($MILLION)
List of Figures
FIGURE 01. AI IN HEALTHCARE MARKET SEGMENTATION
FIGURE 02. TOP INVESTMENT POCKETS
FIGURE 03. TOP WINNING STRATEGIES, BY YEAR, 2020*
FIGURE 04. TOP WINNING STRATEGIES, BY DEVELOPMENT, 2020* (%)
FIGURE 05. TOP WINNING STRATEGIES, BY COMPANY, 2020*
FIGURE 06. TOP PLAYER POSITIONING, 2020
FIGURE 07. MODERATE BARGAINING POWER OF BUYERS
FIGURE 08. MODERATE BARGAINING POWER OF SUPPLIERS
FIGURE 09. HIGH THREAT OF NEW ENTRANTS
FIGURE 10. LOW THREAT OF SUBSTITUTION
FIGURE 11. HIGH COMPETITIVE RIVALRY
FIGURE 12. IMPACT ANALYSIS
FIGURE 13. COMPARATIVE SHARE ANALYSIS OF HARDWARE ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY COUNTRY, 2020 & 2030 (%)
FIGURE 14. COMPARATIVE SHARE ANALYSIS OF SOFTWARE ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY COUNTRY, 2020 & 2030 (%)
FIGURE 15. COMPARATIVE SHARE ANALYSIS OF SERVICES ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY COUNTRY, 2020 & 2030 (%)
FIGURE 16. COMPARATIVE SHARE ANALYSIS OF DEEP LEARNING ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY COUNTRY, 2020 & 2030 (%)
FIGURE 17. COMPARATIVE SHARE ANALYSIS OF QUERYING METHOD ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY COUNTRY, 2020 & 2030 (%)
FIGURE 18. COMPARATIVE SHARE ANALYSIS OF NATURAL LANGUAGE PROCESSING ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY COUNTRY, 2020 & 2030 (%)
FIGURE 19. COMPARATIVE SHARE ANALYSIS OF CONTEXT AWARE PROCESSING ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY COUNTRY, 2020 & 2030 (%)
FIGURE 20. OMPARATIVE SHARE ANALYSIS OF ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET FOR ROBOT-ASSISTED SURGERY, BY COUNTRY, 2020 & 2030 (%)
FIGURE 21. COMPARATIVE SHARE ANALYSIS OF ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET FOR VIRTUAL NURSING ASSISTANT, BY COUNTRY, 2020 & 2030 (%)
FIGURE 22. COMPARATIVE SHARE ANALYSIS OF ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET FOR ADMINISTRATIVE WORKFLOW ASSISTANCE, BY COUNTRY, 2020 & 2030 (%)
FIGURE 23. COMPARATIVE SHARE ANALYSIS OF ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET FOR FRAUD DETECTION, BY COUNTRY, 2020 & 2030 (%)
FIGURE 24. COMPARATIVE SHARE ANALYSIS OF ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET FOR DOSAGE ERROR REDUCTION, BY COUNTRY, 2020 & 2030 (%)
FIGURE 25. COMPARATIVE SHARE ANALYSIS OF ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET FOR CLINICAL TRIAL PARTICIPANT IDENTIFIER, BY COUNTRY, 2020 & 2030 (%)101
FIGURE 26. COMPARATIVE SHARE ANALYSIS OF ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET FOR PRELIMINARY DIAGNOSIS, BY COUNTRY, 2020& 2030 (%)
FIGURE 27. COMPARATIVE SHARE ANALYSIS OF ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET FOR OTHERS, BY COUNTRY, 2020 & 2030 (%)
FIGURE 28. COMPARATIVE SHARE ANALYSIS OF ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET FOR HEALTHCARE PROVIDERS, BY COUNTRY, 2020 & 2030 (%)
FIGURE 29. COMPARATIVE SHARE ANALYSIS OF ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET FOR PHARMACEUTICALS & BIOTECHNOLOGY COMPANIES, BY COUNTRY, 2020 & 2030 (%)112
FIGURE 30. COMPARATIVE SHARE ANALYSIS OF ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET FOR PATIENTS, BY COUNTRY, 2020 & 2030 (%)
FIGURE 31. COMPARATIVE SHARE ANALYSIS OF ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET BY PAYER, BY COUNTRY, 2020 & 2030 (%)
Companies Mentioned
- Welltok Inc.
- Intel Corporation
- Nvidia Corporation
- Google Inc.
- IBM Corporation
- Microsoft Corporation
- General Vision Inc.
- Enlitic Inc.
- Next IT Corporation
- iCarbonX.
Methodology
The analyst offers exhaustive research and analysis based on a wide variety of factual inputs, which largely include interviews with industry participants, reliable statistics, and regional intelligence. The in-house industry experts play an instrumental role in designing analytic tools and models, tailored to the requirements of a particular industry segment. The primary research efforts include reaching out participants through mail, tele-conversations, referrals, professional networks, and face-to-face interactions.
They are also in professional corporate relations with various companies that allow them greater flexibility for reaching out to industry participants and commentators for interviews and discussions.
They also refer to a broad array of industry sources for their secondary research, which typically include; however, not limited to:
- Company SEC filings, annual reports, company websites, broker & financial reports, and investor presentations for competitive scenario and shape of the industry
- Scientific and technical writings for product information and related preemptions
- Regional government and statistical databases for macro analysis
- Authentic news articles and other related releases for market evaluation
- Internal and external proprietary databases, key market indicators, and relevant press releases for market estimates and forecast
Furthermore, the accuracy of the data will be analyzed and validated by conducting additional primaries with various industry experts and KOLs. They also provide robust post-sales support to clients.
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