• Cat-intel
  • MedIntelliX
  • Resources
  • About Us
  • Request Free Sample ×

    Kindly complete the form below to receive a free sample of this Report

    Leading companies partner with us for data-driven Insights

    clients tt-cursor

    India Healthcare Artificial Intelligence Market

    ID: MRFR/HC/42220-HCR
    128 Pages
    Rahul Gotadki
    September 2025

    India Healthcare Artificial Intelligence (AI) Market Research Report By Component (Hardware, Software, Services), By Application (Robot-Assisted Surgery, Virtual Nursing Assistant, Dosage Error Reduction, Clinical Trial, Preliminary Diagnosis, Automated Image Diagnosis), By Technology (Machine Learning, Querying Method, Natural Language Processing) and By End-User (Hospital Diagnostic Centers, Pharmaceutical Biotechnology Companies, Academic Research Laboratories) - Forecast to 2035

    Share:
    Download PDF ×

    We do not share your information with anyone. However, we may send you emails based on your report interest from time to time. You may contact us at any time to opt-out.

    India Healthcare Artificial Intelligence (AI) Market Research Report — Global Forecast till 2035 Infographic
    Purchase Options
    $ 4,950.0
    $ 5,950.0
    $ 7,250.0
    Table of Contents

    India Healthcare Artificial Intelligence Market Summary

    The India Healthcare Artificial Intelligence market is poised for substantial growth, projected to reach 6.98 USD Billion by 2035 from 1.13 USD Billion in 2024.

    Key Market Trends & Highlights

    India Healthcare Artificial Intelligence (AI) Key Trends and Highlights

    • The market is expected to grow from 1.13 USD Billion in 2024 to 6.98 USD Billion by 2035.
    • A compound annual growth rate (CAGR) of 18.0% is anticipated from 2025 to 2035.
    • The increasing integration of AI technologies in healthcare is driving market expansion.
    • Growing adoption of AI solutions due to the need for improved patient outcomes is a major market driver.

    Market Size & Forecast

    2024 Market Size 1.13 (USD Billion)
    2035 Market Size 6.98 (USD Billion)
    CAGR (2025-2035) 18.0%

    Major Players

    HealthifyMe, Tata Consultancy Services, Zebra Medical Vision, Niramai, IBM Watson Health, Siemens Healthineers, Philips Healthcare, CureMetrix, GE Healthcare, Bristol Myers Squibb, SigTuple, Wipro, HCL Technologies

    India Healthcare Artificial Intelligence Market Trends

    The India Healthcare Artificial Intelligence (AI) Market is undergoing substantial growth, which is influenced by a variety of key market drivers. The growing demand for improved patient outcomes and enhanced operational efficiency in healthcare settings is one of the primary drivers. Healthcare providers in India are eager to implement AI technologies in order to optimize procedures, minimize expenditures, and deliver personalized patient care, given the increasing prevalence of chronic diseases and the expanding population.

    The Indian government's commitment to digital health initiatives is a critical factor, as it promotes the integration of AI into healthcare systems by implementing policies that are designed to enhance accessibility and modernize health services. The potential for AI to aid in the personalization of treatments, disease prediction, and diagnostics is among the opportunities to be investigated in this market. AI-driven tools can improve real-time decision-making for healthcare professionals and enhance remote consultations as telemedicine continues to expand. The growing investment in AI ventures that specialize in healthcare solutions is creating opportunities for collaboration and innovation.

    In recent years, there has been a substantial rise in the number of partnerships between healthcare institutions and technology firms. The versatility of AI in addressing diverse healthcare challenges is underscored by the collaborations that are focused on the development of AI applications for areas such as radiology, pathology, and mental health.

    Moreover, the shift towards patient-centric approaches and the need for data-driven insights are prompting healthcare organizations to adopt AI solutions at a faster rate. The regulatory landscape is also evolving, with initiatives aimed at ensuring responsible AI usage in healthcare. Collectively, these trends denote a robust momentum in the integration of AI technologies in the Indian healthcare sector, shaping its future.

    Source: Primary Research, Secondary Research, Market Research Future Database and Analyst Review

    India Healthcare Artificial Intelligence Market Drivers

    Market Segment Insights

    Healthcare Artificial Intelligence (AI) Market Component Insights  

    The Component segment of the India Healthcare Artificial Intelligence (AI) Market plays a crucial role in shaping the overall dynamics of the industry. It encompasses essential elements such as Hardware, Software, and Services, each contributing significantly to the development and application of AI technologies in healthcare settings. The Hardware component includes high-performance computing devices, sensors, and other medical devices, which are vital for processing vast amounts of healthcare data efficiently and effectively.

    Coupled with this, the Software aspect involves advanced algorithms and platforms that enable data analysis, predictive analytics, and machine learning functionalities, making it indispensable for enhancing diagnostic accuracy and improving patient outcomes. Furthermore, the Services segment encompasses consulting, integration, and maintenance services that support healthcare organizations in adopting and implementing AI solutions seamlessly. The increasing demand for AI-driven insights in healthcare processes is fostering innovation within this Component segment, leading to robust advancements in telemedicine, diagnostics, and personalized medicine.

    As a result, this segment not only drives efficiencies but also facilitates the complicated integration of AI technologies into existing healthcare systems. The robust growth of the healthcare sector in India, supported by government initiatives and investments, is propelling the adoption of AI solutions across various healthcare segments, thereby highlighting the significance of each component in advancing the Indian healthcare landscape.

    Source: Primary Research, Secondary Research, Market Research Future Database and Analyst Review

    Healthcare Artificial Intelligence (AI) Market Application Insights  

    The Application segment of the India Healthcare Artificial Intelligence (AI) Market plays a pivotal role in transforming the healthcare landscape through technological advancements. Key areas within this segment include Robot-Assisted Surgery, which enhances precision and reduces recovery time, leading to improved patient outcomes; Virtual Nursing Assistants that offer continuous patient support, helping to monitor health metrics and ensuring timely interventions; and Dosage Error Reduction systems that significantly minimize human errors in medication delivery, thereby safeguarding patient safety. Furthermore, Clinical Trials benefit from AI by optimizing patient recruitment and data analyses, accelerating the development of new treatments.

    Preliminary Diagnosis systems leverage AI algorithms for more accurate disease identification, while Automated Image Diagnosis tools assist radiologists by providing quick, reliable analyses of imaging studies. These applications collectively drive efficiency and improve care quality, illustrating the immense potential of AI in the Indian healthcare industry. As India strives to enhance healthcare accessibility and quality, leveraging AI technologies across various applications emerges as a strategic focus for better health outcomes and operational efficiency.

    Healthcare Artificial Intelligence (AI) Market Technology Insights  

    The Indian Healthcare Artificial Intelligence (AI) Market is witnessing a substantial shift towards various technologies essential for driving innovation and enhancing patient outcomes. Among these technological advancements, Machine Learning plays a critical role, enabling predictive analytics and personalized medicine, which significantly improve diagnostic accuracy and treatment plans. Querying Methods are equally vital, facilitating efficient data retrieval from extensive healthcare databases and optimizing decision-making processes for healthcare professionals. Natural Language Processing stands out in its ability to analyze vast amounts of clinical text data, transforming unstructured information into actionable insights, thus streamlining patient interactions.

    As the healthcare sector continues to evolve, these technologies hold a significant position by ensuring that healthcare providers can deliver more effective and efficient services. With the rising demand for digital health solutions in India bolstered by government initiatives supporting healthcare digitization, the importance of these technologies is set to grow, leading to a more integrated and responsive healthcare system. The focus on these technological areas reflects an underlying trend towards leveraging AI to enhance operational efficiencies and improve patient care across the Indian healthcare landscape.

    Healthcare Artificial Intelligence (AI) Market End-User Insights  

    The End-User segment of the India Healthcare Artificial Intelligence (AI) Market plays a crucial role in the overall healthcare landscape, showcasing a diverse range of applications and innovations that drive market growth. Hospital  Diagnostic Centers leverage AI technologies for improved diagnostic accuracy, streamlined operations, and personalized patient care, thus contributing significantly to operational efficiencies. Pharmaceutical  Biotechnology Companies utilize AI to expedite drug discovery, enhance clinical trials, and optimize production processes, effectively addressing the evolving demands of the industry. Meanwhile, Academic  Research Laboratories are increasingly adopting AI tools for advanced research analysis and data management, facilitating breakthroughs in medical science.

    The robust integration of AI in these sectors not only fosters advancements in healthcare delivery but also enhances patient outcomes and operational efficiencies. With increasing investments in digital health technologies, the importance of these end-users continues to expand, highlighting the transformative potential and future opportunities within the India Healthcare Artificial Intelligence (AI) Market.

    Get more detailed insights about India Healthcare Artificial Intelligence (AI) Market Research Report — Global Forecast till 2035

    Regional Insights

    Key Players and Competitive Insights

    The India Healthcare Artificial Intelligence (AI) Market has been witnessing substantial growth as healthcare providers increasingly adopt AI technologies to enhance patient care and streamline operations. The competitive landscape is characterized by a mix of startups and established players leveraging advanced analytics, machine learning, and data-driven solutions. Companies are focusing on developing AI solutions that address specific healthcare challenges, such as diagnostic accuracy, personalized treatment plans, and efficient resource allocation. The market is propelled by rising awareness among healthcare professionals about the potential of AI to improve outcomes, along with supportive government policies and increased investments in healthcare technology.

    As competition intensifies, organizations are also forging strategic partnerships and collaborations to innovate and enhance their service offerings in a rapidly evolving ecosystem. HealthifyMe has carved a niche for itself in the India Healthcare Artificial Intelligence (AI) Market by focusing on digital health and wellness solutions. Its strengths lie in its comprehensive AI-driven platform that assists users in tracking their fitness goals, dietary habits, and overall health metrics. By providing personalized nutrition plans and fitness regimes powered by AI algorithms, HealthifyMe makes health management more accessible for the average Indian consumer.

    The company has successfully capitalized on the increasing smartphone penetration and internet accessibility in India, making its services widely available. In addition to its technological innovations, HealthifyMe has built a robust community of users, fostering an interactive environment that enhances customer engagement and satisfaction. This strong market presence, combined with a clear focus on health and wellness, positions the company well for continued success in the competitive landscape. Tata Consultancy Services (TCS) has emerged as a key player in the India Healthcare Artificial Intelligence (AI) Market, leveraging its vast expertise in IT services and consulting.

    The company offers a suite of AI-driven healthcare solutions designed to improve operational efficiencies, enhance patient experiences, and streamline care delivery. With a robust portfolio that includes healthcare analytics, patient engagement platforms, and telehealth solutions, TCS is well-positioned to address the diverse needs of healthcare providers across India. The strength of TCS lies in its established brand reputation, extensive experience, and R&D capabilities, which enable it to innovate continuously.

    Furthermore, TCS has engaged in strategic alliances and collaborations with healthcare institutions to advance research and development in AI while also pursuing mergers and acquisitions that complement its offerings in health AI. This concerted approach bolsters TCS's market presence and reinforces its commitment to transforming the healthcare landscape in India through cutting-edge technology solutions.

    Key Companies in the India Healthcare Artificial Intelligence Market market include

    Industry Developments

    The India Healthcare Artificial Intelligence (AI) Market has seen significant developments recently. Notably, HealthifyMe announced new partnerships in June 2023 to enhance its digital health platform, integrating AI for personalized health insights. Meanwhile, Tata Consultancy Services is advancing its AI solutions in healthcare, focusing on predictive analytics to streamline operations in hospitals. In terms of mergers and acquisitions, in August 2023, Siemens Healthineers acquired the AI imaging startup, which is anticipated to strengthen its existing portfolio in India’s healthcare sector.

    Moreover, GE Healthcare announced an investment in local startups focused on AI-driven diagnostics in July 2023, emphasizing the growing momentum of AI technologies. In the last few years, India has witnessed various regulatory initiatives supporting AI integration into healthcare, with the government backing efforts to create a robust AI framework for better patient outcomes. The overall market valuation for healthcare AI solutions in India is projected to grow, with estimates suggesting it might reach over $2 billion by 2025, driven by increased demand for advanced medical technologies and improved healthcare delivery mechanisms.

    Companies like Qure.ai and Niramai continue to receive attention for their innovative solutions in medical imaging and cancer detection, respectively. 

    Market Segmentation

    India Healthcare Artificial Intelligence (AI) Market Component Outlook

    • Hardware
    • Software
    • Services

    India Healthcare Artificial Intelligence (AI) Market End-User Outlook

    • Hospital Diagnostic Centers 
    • Pharmaceutical Biotechnology Companies 
    • Academic Research Laboratories 
    •  
    • Beta

    India Healthcare Artificial Intelligence (AI) Market Technology Outlook

    • Machine Learning
    • Querying Method
    • Natural Language Processing

    India Healthcare Artificial Intelligence (AI) Market Application Outlook

    • Robot-Assisted Surgery
    • Virtual Nursing Assistant
    • Dosage Error Reduction
    • Clinical Trial
    • Preliminary Diagnosis
    • Automated Image Diagnosis

    Report Scope

    Report Attribute/Metric Details
    Market Size 2018 0.89(USD Billion)
    Market Size 2024 1.13(USD Billion)
    Market Size 2035 6.98(USD Billion)
    Compound Annual Growth Rate (CAGR) 17.04% (2025 - 2035)
    Report Coverage Revenue Forecast, Competitive Landscape, Growth Factors, and Trends
    Base Year 2024
    Market Forecast Period 2025 - 2035
    Historical Data 2019 - 2024
    Market Forecast Units USD Billion
    Key Companies Profiled HealthifyMe, Tata Consultancy Services, Zebra Medical Vision, Niramai, IBM Watson Health, Siemens Healthineers, Philips Healthcare, CureMetrix, GE Healthcare, Bristol Myers Squibb, SigTuple, Wipro, HCL Technologies, Qure.ai
    Segments Covered Component, Application, Technology, End-User
    Key Market Opportunities Telemedicine integration, Predictive analytics for patient care, AI-driven diagnostics, Personalized medicine development, Drug discovery optimization
    Key Market Dynamics Rising healthcare costs, Increasing data availability, Government support and initiatives, Growing telemedicine adoption, Surge in chronic diseases
    Countries Covered India

    Market Highlights

    Author
    Rahul Gotadki
    Assistant Manager

    He holds an experience of about 7+ years in Market Research and Business Consulting, working under the spectrum of Life Sciences and Healthcare domains. Rahul conceptualizes and implements a scalable business strategy and provides strategic leadership to the clients. His expertise lies in market estimation, competitive intelligence, pipeline analysis, customer assessment, etc. In addition to the above, his other responsibility includes strategic tracking of high growth markets & advising clients on the potential areas of focus they could direct their business initiatives

    Leave a Comment

    FAQs

    What is the expected market size of the India Healthcare Artificial Intelligence (AI) Market by 2024?

    The India Healthcare Artificial Intelligence (AI) Market is projected to be valued at 1.13 billion USD by the year 2024.

    What is the projected market size for the India Healthcare Artificial Intelligence (AI) Market by 2035?

    By 2035, the India Healthcare Artificial Intelligence (AI) Market is expected to reach a valuation of 6.98 billion USD.

    What is the expected compound annual growth rate (CAGR) for the India Healthcare Artificial Intelligence (AI) Market from 2025 to 2035?

    The anticipated CAGR for the India Healthcare Artificial Intelligence (AI) Market from 2025 to 2035 is 17.04%.

    What is the market size of the hardware segment within the India Healthcare Artificial Intelligence (AI) Market in 2024?

    The hardware segment of the India Healthcare Artificial Intelligence (AI) Market is valued at 0.3 billion USD in 2024.

    What is the projected market size for the software segment in the India Healthcare Artificial Intelligence (AI) Market by 2035?

    The software segment is expected to reach a valuation of 3.6 billion USD in the India Healthcare Artificial Intelligence (AI) Market by 2035.

    What is the expected market size for the services segment in the India Healthcare Artificial Intelligence (AI) Market by 2024?

    The services segment is projected to be valued at 0.23 billion USD in the India Healthcare Artificial Intelligence (AI) Market in 2024.

    Who are the key players in the India Healthcare Artificial Intelligence (AI) Market?

    Major players in the market include HealthifyMe, Tata Consultancy Services, Zebra Medical Vision, and IBM Watson Health.

    What will the growth rate be for the healthcare AI market in India during the forecast period?

    The India Healthcare Artificial Intelligence (AI) Market is expected to witness a growth rate of 17.04% during the forecast period from 2025 to 2035.

    What are some of the applications driving growth in the India Healthcare Artificial Intelligence (AI) Market?

    Key applications driving growth include diagnostics, patient monitoring, and personalized medicine in the healthcare sector.

    What challenges may the India Healthcare Artificial Intelligence (AI) Market face in the coming years?

    Potential challenges include regulatory hurdles, data privacy concerns, and the integration of AI solutions into existing healthcare systems.

    1. Key Findings \n1.3. Market Segmentation \n1.4. Competitive Landscape \n1.5. Challenges
    2. and Opportunities \n1.6. Future Outlook \n\n\n\n2. MARKET INTRODUCTION \n2.1. Definition
    3. \n2.2. Scope of the study \n2.2.1. Research Objective \n2.2.2. Assumption \n2.2.3.
    4. Limitations \n3. RESEARCH METHODOLOGY \n3.1. Overview \n3.2. Data Mining \n3.3.
    5. Secondary Research \n3.4. Primary Research \n3.4.1. Primary Interviews and Information
    6. Gathering Process \n3.4.2. Breakdown of Primary Respondents \n3.5. Forecasting Model
    7. \n3.6. Market Size Estimation \n3.6.1. Bottom-Up Approach \n3.6.2. Top-Down Approach
    8. \n3.7. Data Triangulation \n3.8. Validation \n\n\n\n4. MARKET DYNAMICS \n4.1. Overview
    9. \n4.2. Drivers \n4.3. Restraints \n4.4. Opportunities \n5. MARKET FACTOR ANALYSIS
    10. \n5.1. Value chain Analysis \n5.2. Porter's Five Forces Analysis \n5.2.1. Bargaining
    11. Power of Suppliers \n5.2.2. Bargaining Power of Buyers \n5.2.3. Threat of New Entrants
    12. \n5.2.4. Threat of Substitutes \n5.2.5. Intensity of Rivalry \n5.3. COVID-19 Impact
    13. Analysis \n5.3.1. Market Impact Analysis \n5.3.2. Regional Impact \n5.3.3. Opportunity
    14. and Threat Analysis \n\n\n\n6. INDIA HEALTHCARE ARTIFICIAL INTELLIGENCE (AI) MARKET,
    15. BY COMPONENT (USD BILLION) \n6.1. Hardware \n6.2. Software \n6.3. Services \n7.
    16. INDIA HEALTHCARE ARTIFICIAL INTELLIGENCE (AI) MARKET, BY APPLICATION (USD BILLION)
    17. \n7.1. Robot-Assisted Surgery \n7.2. Virtual Nursing Assistant \n7.3. Dosage Error
    18. Reduction \n7.4. Clinical Trial \n7.5. Preliminary Diagnosis \n7.6. Automated Image
    19. Diagnosis \n8. INDIA HEALTHCARE ARTIFICIAL INTELLIGENCE (AI) MARKET, BY TECHNOLOGY
    20. (USD BILLION) \n8.1. Machine Learning \n8.2. Querying Method \n8.3. Natural Language
    21. Processing \n9. INDIA HEALTHCARE ARTIFICIAL INTELLIGENCE (AI) MARKET, BY END-USER
    22. (USD BILLION) \n9.1. Hospital Diagnostic Centers \n9.2. Pharmaceutical Biotechnology
    23. Companies \n9.3. Academic Research Laboratories \n\n\n\n10. COMPETITIVE LANDSCAPE
    24. \n10.1. Overview \n10.2. Competitive Analysis \n10.3. Market share Analysis \n10.4.
    25. Major Growth Strategy in the Healthcare Artificial Intelligence (AI) Market \n10.5.
    26. Competitive Benchmarking \n10.6. Leading Players in Terms of Number of Developments
    27. in the Healthcare Artificial Intelligence (AI) Market \n10.7. Key developments and
    28. growth strategies \n10.7.1. New Product Launch/Service Deployment \n10.7.2. Merger
    29. Acquisitions \n10.7.3. Joint Ventures \n10.8. Major Players Financial Matrix \n10.8.1.
    30. Sales and Operating Income \n10.8.2. Major Players RD Expenditure. 2023 \n11. COMPANY
    31. PROFILES \n11.1. HealthifyMe \n11.1.1. Financial Overview \n11.1.2. Products Offered
    32. \n11.1.3. Key Developments \n11.1.4. SWOT Analysis \n11.1.5. Key Strategies \n11.2.
    33. Tata Consultancy Services \n11.2.1. Financial Overview \n11.2.2. Products Offered
    34. \n11.2.3. Key Developments \n11.2.4. SWOT Analysis \n11.2.5. Key Strategies \n11.3.
    35. Zebra Medical Vision \n11.3.1. Financial Overview \n11.3.2. Products Offered \n11.3.3.
    36. Key Developments \n11.3.4. SWOT Analysis \n11.3.5. Key Strategies \n11.4. Niramai
    37. \n11.4.1. Financial Overview \n11.4.2. Products Offered \n11.4.3. Key Developments
    38. \n11.4.4. SWOT Analysis \n11.4.5. Key Strategies \n11.5. IBM Watson Health \n11.5.1.
    39. Financial Overview \n11.5.2. Products Offered \n11.5.3. Key Developments \n11.5.4.
    40. SWOT Analysis \n11.5.5. Key Strategies \n11.6. Siemens Healthineers \n11.6.1. Financial
    41. Overview \n11.6.2. Products Offered \n11.6.3. Key Developments \n11.6.4. SWOT Analysis
    42. \n11.6.5. Key Strategies \n11.7. Philips Healthcare \n11.7.1. Financial Overview
    43. \n11.7.2. Products Offered \n11.7.3. Key Developments \n11.7.4. SWOT Analysis \n11.7.5.
    44. Key Strategies \n11.8. CureMetrix \n11.8.1. Financial Overview \n11.8.2. Products
    45. Offered \n11.8.3. Key Developments \n11.8.4. SWOT Analysis \n11.8.5. Key Strategies
    46. \n11.9. GE Healthcare \n11.9.1. Financial Overview \n11.9.2. Products Offered \n11.9.3.
    47. Key Developments \n11.9.4. SWOT Analysis \n11.9.5. Key Strategies \n11.10. Bristol
    48. Myers Squibb \n11.10.1. Financial Overview \n11.10.2. Products Offered \n11.10.3.
    49. Key Developments \n11.10.4. SWOT Analysis \n11.10.5. Key Strategies \n11.11. SigTuple
    50. \n11.11.1. Financial Overview \n11.11.2. Products Offered \n11.11.3. Key Developments
    51. \n11.11.4. SWOT Analysis \n11.11.5. Key Strategies \n11.12. Wipro \n11.12.1. Financial
    52. Overview \n11.12.2. Products Offered \n11.12.3. Key Developments \n11.12.4. SWOT
    53. Analysis \n11.12.5. Key Strategies \n11.13. HCL Technologies \n11.13.1. Financial
    54. Overview \n11.13.2. Products Offered \n11.13.3. Key Developments \n11.13.4. SWOT
    55. Analysis \n11.13.5. Key Strategies \n11.14. Qure.ai \n11.14.1. Financial Overview
    56. \n11.14.2. Products Offered \n11.14.3. Key Developments \n11.14.4. SWOT Analysis
    57. \n11.14.5. Key Strategies \n12. APPENDIX \n12.1. References \n12.2. Related Reports
    58. \nLIST OF TABLES\n\nTABLE 1. LIST OF ASSUMPTIONS \nTABLE 2. INDIA HEALTHCARE ARTIFICIAL
    59. INTELLIGENCE (AI) MARKET SIZE ESTIMATES & FORECAST, BY COMPONENT, 2019-2035
    60. (USD BILLIONS) \nTABLE 3. INDIA HEALTHCARE ARTIFICIAL INTELLIGENCE (AI) MARKET SIZE
    61. ESTIMATES & FORECAST, BY APPLICATION, 2019-2035 (USD BILLIONS) \nTABLE 4. INDIA
    62. HEALTHCARE ARTIFICIAL INTELLIGENCE (AI) MARKET SIZE ESTIMATES & FORECAST, BY
    63. TECHNOLOGY, 2019-2035 (USD BILLIONS) \nTABLE 5. INDIA HEALTHCARE ARTIFICIAL INTELLIGENCE
    64. (AI) MARKET SIZE ESTIMATES & FORECAST, BY END-USER, 2019-2035 (USD BILLIONS)
    65. \nTABLE 6. PRODUCT LAUNCH/PRODUCT DEVELOPMENT/APPROVAL \nTABLE 7. ACQUISITION/PARTNERSHIP
    66. \n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nLIST OF FIGURES\n\nFIGURE
    67. MARKET SYNOPSIS \nFIGURE 2. INDIA HEALTHCARE ARTIFICIAL INTELLIGENCE (AI) MARKET
    68. ANALYSIS BY COMPONENT \nFIGURE 3. INDIA HEALTHCARE ARTIFICIAL INTELLIGENCE (AI)
    69. MARKET ANALYSIS BY APPLICATION \nFIGURE 4. INDIA HEALTHCARE ARTIFICIAL INTELLIGENCE
    70. (AI) MARKET ANALYSIS BY TECHNOLOGY \nFIGURE 5. INDIA HEALTHCARE ARTIFICIAL INTELLIGENCE
    71. (AI) MARKET ANALYSIS BY END-USER \nFIGURE 6. KEY BUYING CRITERIA OF HEALTHCARE ARTIFICIAL
    72. INTELLIGENCE (AI) MARKET \nFIGURE 7. RESEARCH PROCESS OF MRFR \nFIGURE 8. DRO ANALYSIS
    73. OF HEALTHCARE ARTIFICIAL INTELLIGENCE (AI) MARKET \nFIGURE 9. DRIVERS IMPACT ANALYSIS:
    74. HEALTHCARE ARTIFICIAL INTELLIGENCE (AI) MARKET \nFIGURE 10. RESTRAINTS IMPACT ANALYSIS:
    75. HEALTHCARE ARTIFICIAL INTELLIGENCE (AI) MARKET \nFIGURE 11. SUPPLY / VALUE CHAIN:
    76. HEALTHCARE ARTIFICIAL INTELLIGENCE (AI) MARKET \nFIGURE 12. HEALTHCARE ARTIFICIAL
    77. INTELLIGENCE (AI) MARKET, BY COMPONENT, 2024 (% SHARE) \nFIGURE 13. HEALTHCARE ARTIFICIAL
    78. INTELLIGENCE (AI) MARKET, BY COMPONENT, 2019 TO 2035 (USD Billions) \nFIGURE 14.
    79. HEALTHCARE ARTIFICIAL INTELLIGENCE (AI) MARKET, BY APPLICATION, 2024 (% SHARE) \nFIGURE
    80. HEALTHCARE ARTIFICIAL INTELLIGENCE (AI) MARKET, BY APPLICATION, 2019 TO 2035
    81. (USD Billions) \nFIGURE 16. HEALTHCARE ARTIFICIAL INTELLIGENCE (AI) MARKET, BY TECHNOLOGY,
    82. (% SHARE) \nFIGURE 17. HEALTHCARE ARTIFICIAL INTELLIGENCE (AI) MARKET, BY TECHNOLOGY,
    83. TO 2035 (USD Billions) \nFIGURE 18. HEALTHCARE ARTIFICIAL INTELLIGENCE (AI)
    84. MARKET, BY END-USER, 2024 (% SHARE) \nFIGURE 19. HEALTHCARE ARTIFICIAL INTELLIGENCE
    85. (AI) MARKET, BY END-USER, 2019 TO 2035 (USD Billions) \nFIGURE 20. BENCHMARKING
    86. OF MAJOR COMPETITORS

    India Healthcare Artificial Intelligence (AI) Market Segmentation

     

     

     

    • Healthcare Artificial Intelligence (AI) Market By Component (USD Billion, 2019-2035)
      • Hardware
      • Software
      • Services

     

    • Healthcare Artificial Intelligence (AI) Market By Application (USD Billion, 2019-2035)
      • Robot-Assisted Surgery
      • Virtual Nursing Assistant
      • Dosage Error Reduction
      • Clinical Trial
      • Preliminary Diagnosis
      • Automated Image Diagnosis

     

    • Healthcare Artificial Intelligence (AI) Market By Technology (USD Billion, 2019-2035)
      • Machine Learning
      • Querying Method
      • Natural Language Processing

     

    • Healthcare Artificial Intelligence (AI) Market By End-User (USD Billion, 2019-2035)
      • Hospital Diagnostic Centers  
      • Pharmaceutical Biotechnology Companies  
      • Academic Research Laboratories  

     

    Report Infographic
    Free Sample Request

    Kindly complete the form below to receive a free sample of this Report

    Customer Strories

    “I am very pleased with how market segments have been defined in a relevant way for my purposes (such as "Portable Freezers & refrigerators" and "last-mile"). In general the report is well structured. Thanks very much for your efforts.”

    Victoria Milne Founder
    Case Study

    Chemicals and Materials