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India Healthcare Artificial Intelligence Market

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

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India Healthcare Artificial Intelligence Market Summary

As per MRFR analysis, the healthcare artificial intelligence market size was estimated at 1257.5 USD Million in 2024. The India healthcare artificial-intelligence market is projected to grow from 1606.08 USD Million in 2025 to 18550.0 USD Million by 2035, exhibiting a compound annual growth rate (CAGR) of 27.72% during the forecast period 2025 - 2035.

Key Market Trends & Highlights

The India healthcare artificial-intelligence market is poised for substantial growth driven by technological advancements and increasing demand for personalized care.

  • The largest segment in the India healthcare AI market is diagnostics, reflecting a trend towards enhanced accuracy and efficiency in disease detection.
  • The fastest-growing segment is predictive analytics, which focuses on preventive care and improving patient outcomes through data-driven insights.
  • AI is increasingly facilitating patient engagement, allowing for more personalized interactions and improved healthcare experiences.
  • Key market drivers include the rising demand for personalized medicine and government initiatives that support AI integration in healthcare.

Market Size & Forecast

2024 Market Size 1257.5 (USD Million)
2035 Market Size 18550.0 (USD Million)

Major Players

IBM (US), Google (US), Microsoft (US), Amazon (US), Siemens Healthineers (DE), Philips (NL), GE Healthcare (US), CureMetrix (US), Aidoc (IL)

India Healthcare Artificial Intelligence Market Trends

The healthcare artificial-intelligence market is experiencing notable growth, driven by advancements in technology and increasing demand for efficient healthcare solutions. In India, the integration of artificial intelligence into healthcare systems appears to enhance diagnostic accuracy, streamline operations, and improve patient outcomes. The government has been actively promoting digital health initiatives, which likely fosters innovation and investment in this sector. Furthermore, collaborations between technology firms and healthcare providers are becoming more prevalent, suggesting a shift towards more integrated healthcare solutions that leverage AI capabilities. As of November 2025, the landscape of the healthcare artificial-intelligence market in India seems to be evolving rapidly. The focus on personalized medicine and predictive analytics indicates a growing recognition of the potential benefits of AI in addressing complex health challenges. Additionally, the increasing availability of healthcare data, coupled with advancements in machine learning algorithms, may further drive the adoption of AI technologies. Overall, the future of this market appears promising, with various stakeholders working towards harnessing the power of artificial intelligence to transform healthcare delivery in India.

Increased Adoption of AI in Diagnostics

The healthcare artificial-intelligence market is witnessing a surge in the adoption of AI technologies for diagnostic purposes. This trend indicates a growing reliance on machine learning algorithms to analyze medical images and patient data, potentially leading to earlier detection of diseases and improved treatment plans.

Enhanced Patient Engagement through AI

There is a noticeable trend towards utilizing AI to enhance patient engagement in healthcare settings. Tools such as chatbots and virtual health assistants are being integrated into healthcare systems, which may improve communication between patients and providers, thereby fostering better health management.

Focus on Predictive Analytics for Preventive Care

The healthcare artificial-intelligence market is increasingly focusing on predictive analytics to facilitate preventive care. By analyzing vast amounts of health data, AI systems can identify at-risk populations and suggest proactive measures, which could lead to better health outcomes and reduced healthcare costs.

India Healthcare Artificial Intelligence Market Drivers

Advancements in AI Technology

Technological advancements in AI are significantly shaping the healthcare artificial-intelligence market in India. Innovations in machine learning, natural language processing, and computer vision are enabling more sophisticated applications in diagnostics, treatment planning, and patient monitoring. These advancements are making AI tools more effective and user-friendly, thereby increasing their adoption among healthcare professionals. For instance, AI algorithms are now capable of analyzing medical images with accuracy comparable to that of human radiologists, which enhances diagnostic capabilities. The continuous evolution of AI technology is expected to drive market growth, with projections indicating a potential market expansion of over $2 billion by 2026. This growth reflects the increasing reliance on AI solutions to improve clinical outcomes and operational efficiencies within the healthcare sector.

Growing Healthcare Data Volume

The exponential growth of healthcare data in India is a critical driver for the healthcare artificial-intelligence market. With the increasing digitization of health records and the proliferation of wearable health devices, vast amounts of data are generated daily. AI technologies are adept at processing and analyzing this data, uncovering insights that can lead to improved patient care and operational efficiencies. The healthcare sector is expected to generate over 2.5 exabytes of data annually by 2025, creating a fertile ground for AI applications. This data-driven approach not only enhances clinical decision-making but also supports predictive analytics, which is essential for proactive healthcare management. Consequently, the healthcare artificial-intelligence market is poised for substantial growth as organizations seek to leverage data analytics to improve patient outcomes and streamline operations.

Government Initiatives and Funding

Government initiatives in India are significantly influencing the healthcare artificial-intelligence market. The Indian government has launched various programs aimed at promoting digital health and AI integration in healthcare services. For instance, the National Digital Health Mission aims to create a comprehensive digital health ecosystem, which includes the use of AI for better healthcare delivery. Additionally, funding for AI research and development in healthcare has increased, with the government allocating substantial budgets to support innovation. This financial backing is expected to enhance the capabilities of AI technologies, making them more accessible to healthcare providers. As a result, the healthcare artificial-intelligence market is likely to witness accelerated growth, with an estimated increase in market size by over $1 billion by 2027, driven by these supportive policies and investments.

Rising Demand for Personalized Medicine

The healthcare artificial-intelligence market is experiencing a notable surge in demand for personalized medicine in India. This trend is driven by the increasing recognition of the need for tailored treatment plans that cater to individual patient profiles. AI technologies facilitate the analysis of vast datasets, enabling healthcare providers to develop customized therapies based on genetic, environmental, and lifestyle factors. As a result, the market is projected to grow at a CAGR of approximately 30% over the next five years. This growth is indicative of a broader shift towards precision medicine, where AI plays a crucial role in enhancing treatment efficacy and patient outcomes. The integration of AI in personalized medicine not only improves patient satisfaction but also optimizes resource allocation within healthcare systems, thereby driving the overall growth of the healthcare artificial-intelligence market.

Increased Focus on Operational Efficiency

The healthcare artificial-intelligence market is witnessing a heightened emphasis on operational efficiency among healthcare providers in India. As healthcare costs continue to rise, organizations are increasingly turning to AI solutions to streamline processes, reduce waste, and enhance productivity. AI applications, such as robotic process automation and intelligent scheduling systems, are being implemented to optimize resource allocation and improve patient flow. This focus on efficiency is not only beneficial for healthcare providers but also enhances the patient experience by reducing wait times and improving service delivery. The market is expected to grow as healthcare institutions recognize the potential of AI to drive operational improvements, with estimates suggesting a growth rate of around 25% over the next few years. This trend underscores the importance of AI in transforming healthcare operations and delivering value to both providers and patients.

Market Segment Insights

By Application: Medical Imaging (Largest) vs. Predictive Analytics (Fastest-Growing)

In the India healthcare artificial-intelligence market, the application segment showcases a diverse distribution of share among its values. Medical Imaging is the most significant contributor, commanding a substantial portion of the market, while Predictive Analytics is quickly gaining traction, indicating strong interest and investment in data-driven decision-making. Other notable segments, like Robotic Surgery, Clinical Trials, and Virtual Health Assistants, also contribute meaningfully, although they occupy smaller shares compared to the lead segments. Growth in this segment is primarily driven by advancements in technology and increasing adoption of AI solutions across healthcare facilities. The demand for improved diagnostic accuracy, operational efficiency, and personalized patient care has propelled areas like Robotic Surgery and Virtual Health Assistants. Policymakers and healthcare providers are increasingly leveraging Predictive Analytics to enhance patient outcomes, showcasing how AI is transforming the industry landscape.

Medical Imaging: Dominant vs. Predictive Analytics: Emerging

Medical Imaging stands out as the dominant application in the India healthcare artificial-intelligence market, characterized by its extensive use in diagnostics and imaging processes. With its capability to enhance precision in detecting conditions through advanced algorithms, it is the cornerstone of efficient healthcare practices. On the other hand, Predictive Analytics is emerging as a key player, gaining ground through its ability to forecast patient trends and outcomes, thus facilitating proactive healthcare management. This emerging application is heavily backed by the increasing need for data interpretation and the potential to reduce healthcare costs by preventing disease escalation. Both segments complement each other, as they provide hospitals and clinics powerful tools to enhance patient care and operational efficiencies.

By Technology: Machine Learning (Largest) vs. Natural Language Processing (Fastest-Growing)

In the India healthcare artificial-intelligence market, the market share distribution reveals that Machine Learning continues to dominate the sector, driven by its broad application in diagnostics, predictive analysis, and patient care enhancements. Natural Language Processing follows closely but is gaining traction rapidly, capturing significant attention from stakeholders aiming to improve communication between patients and systems. The growth trends for these technologies are influenced by increased investment in healthcare innovations and the escalating demand for efficient healthcare solutions. The surge in data availability and the need for streamlined operations are key drivers, with organizations focusing on harnessing the power of AI to improve clinical outcomes and operational efficiencies.

Technology: Machine Learning (Dominant) vs. Natural Language Processing (Emerging)

Machine Learning is recognized as the dominant force in the India healthcare artificial-intelligence market, primarily due to its reliable algorithms that can analyze large sets of patient data for predictive insights, improving diagnostics and heavy lifting of data processing. In contrast, Natural Language Processing is emerging as a crucial tool, enhancing the interaction between humans and machines by enabling better understanding and generation of human language. This budding technology addresses communication barriers, offering significant potential for applications like virtual health assistants and patient feedback analysis. Together, they represent the forefront of innovations transforming India's healthcare landscape.

By End Use: Hospitals (Largest) vs. Pharmaceutical Companies (Fastest-Growing)

In the India healthcare artificial-intelligence market, hospitals hold the largest market share among the end-use segments, benefiting from the increasing adoption of AI technologies for enhancing patient care and operational efficiency. Pharmaceutical companies also form a significant portion of the market, leveraging AI for drug discovery and development, thereby driving their growth in this sector. The growth trends indicate a rapid expansion in the use of AI across hospitals and pharmaceutical companies, fueled by ongoing digital transformation initiatives. Research institutions and diagnostic centers are emerging as pivotal players, adopting AI to improve research outcomes and diagnostic accuracy, respectively. This trend is driven by advances in machine learning, data analytics, and the pressing need for enhanced healthcare solutions that meet evolving patient needs.

Hospitals (Dominant) vs. Research Institutions (Emerging)

Hospitals represent the dominant segment in the India healthcare artificial-intelligence market, characterized by their integration of AI for clinical decision support, patient management, and operational automation. This segment benefits from substantial investments in healthcare infrastructure and a growing emphasis on data-driven patient care. On the other hand, research institutions are emerging as key players, utilizing AI to streamline research processes and enhance data analysis capabilities. They focus on leveraging AI tools for innovative research methodologies and improving the speed of translating research into practice. Both segments face unique challenges; however, their collaboration could lead to significant advancements in healthcare delivery and research efficacy.

By Component: Software (Largest) vs. Hardware (Fastest-Growing)

In the segment of the India healthcare artificial-intelligence market, Software emerges as the largest contributor, garnering significant market share due to its essential role in data analytics and patient care management. Hardware also plays a crucial role, as it supports the infrastructure needed for AI applications, yet it is eclipsed by the software in terms of contribution to current market revenues. Growth trends indicate that while Software remains the dominant segment, Hardware is experiencing the fastest growth rate driven by advancements in AI-compatible devices and greater investments in healthcare technology. The focus on enhancing AI capabilities in diagnostics and operational efficiency is boosting demand across both segments, positioning them for substantial future development in the healthcare landscape.

Software (Dominant) vs. Hardware (Emerging)

Software in the India healthcare artificial-intelligence market is characterized by its extensive applications in predictive analytics, electronic health records management, and decision support systems, establishing a robust market presence due to the increasing reliance on data-driven insights. It is seen as a necessity for modernizing healthcare practices. On the other hand, Hardware, though currently an emerging segment, is gaining traction with innovations such as AI-enabled medical devices and diagnostic imaging tools. The surge in telemedicine and remote monitoring technologies further fuels Hardware's growth potential, making it an attractive area for investment. Collectively, these segments are crucial for driving AI adoption in healthcare, enhancing both patient outcomes and operational efficiencies in medical establishments.

Get more detailed insights about India Healthcare Artificial Intelligence Market

Key Players and Competitive Insights

The healthcare artificial-intelligence market in India is currently characterized by a dynamic competitive landscape, driven by rapid technological advancements and increasing demand for efficient healthcare solutions. Major players such as IBM (US), Google (US), and Siemens Healthineers (DE) are strategically positioning themselves through innovation and partnerships. IBM (US) focuses on leveraging its Watson Health platform to enhance clinical decision-making, while Google (US) emphasizes its AI capabilities to improve patient outcomes through predictive analytics. Siemens Healthineers (DE) is investing in AI-driven imaging solutions, which indicates a trend towards integrating advanced technologies into traditional healthcare practices. Collectively, these strategies contribute to a competitive environment that is increasingly centered around technological innovation and collaborative efforts.

Key business tactics within this market include localizing manufacturing and optimizing supply chains to enhance operational efficiency. The competitive structure appears moderately fragmented, with numerous players vying for market share. However, the influence of key players is substantial, as they often set industry standards and drive technological advancements. This competitive dynamic fosters an environment where smaller companies can thrive by focusing on niche markets or innovative solutions, thereby enriching the overall market landscape.

In October 2025, Google (US) announced a partnership with a leading Indian healthcare provider to implement its AI-driven diagnostic tools across multiple facilities. This strategic move is likely to enhance the accessibility of advanced diagnostic capabilities in India, potentially improving patient care and operational efficiency. By collaborating with local healthcare providers, Google (US) not only strengthens its market presence but also tailors its solutions to meet specific regional needs, which could serve as a model for future expansions.

In September 2025, Siemens Healthineers (DE) launched a new AI-based imaging solution designed to streamline radiology workflows. This innovation is significant as it addresses the growing demand for efficient imaging processes in hospitals, thereby potentially reducing patient wait times and improving diagnostic accuracy. The introduction of such technology underscores Siemens Healthineers' commitment to integrating AI into healthcare, positioning the company as a leader in this evolving market.

In August 2025, IBM (US) expanded its Watson Health platform to include new AI capabilities focused on oncology. This expansion is particularly noteworthy as it aligns with the increasing emphasis on personalized medicine and targeted therapies. By enhancing its offerings in oncology, IBM (US) not only reinforces its competitive edge but also addresses a critical area of need within the Indian healthcare system, which may lead to improved patient outcomes and satisfaction.

As of November 2025, current trends in the healthcare artificial-intelligence market are heavily influenced by digitalization, sustainability, and the integration of AI technologies. Strategic alliances among key players are shaping the competitive landscape, fostering innovation and collaboration. Looking ahead, it appears that competitive differentiation will increasingly hinge on technological advancements and supply chain reliability, rather than solely on price. This shift suggests a future where innovation and the ability to deliver tailored solutions will be paramount in maintaining a competitive edge.

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. 

Future Outlook

India Healthcare Artificial Intelligence Market Future Outlook

The Healthcare Artificial Intelligence Market in India is projected to grow at a 27.72% CAGR from 2024 to 2035, driven by technological advancements and increasing demand for efficient healthcare solutions.

New opportunities lie in:

  • Development of AI-driven telemedicine platforms for remote diagnostics.
  • Integration of AI in personalized medicine to enhance treatment efficacy.
  • Creation of predictive analytics tools for hospital resource management.

By 2035, the market is expected to achieve substantial growth, positioning itself as a leader in healthcare innovation.

Market Segmentation

India Healthcare Artificial Intelligence Market End Use Outlook

  • Hospitals
  • Pharmaceutical Companies
  • Research Institutions
  • Diagnostic Centers

India Healthcare Artificial Intelligence Market Component Outlook

  • Software
  • Hardware
  • Services

India Healthcare Artificial Intelligence Market Technology Outlook

  • Machine Learning
  • Natural Language Processing
  • Computer Vision
  • Deep Learning

India Healthcare Artificial Intelligence Market Application Outlook

  • Medical Imaging
  • Predictive Analytics
  • Robotic Surgery
  • Clinical Trials
  • Virtual Health Assistants

Report Scope

MARKET SIZE 2024 1257.5(USD Million)
MARKET SIZE 2025 1606.08(USD Million)
MARKET SIZE 2035 18550.0(USD Million)
COMPOUND ANNUAL GROWTH RATE (CAGR) 27.72% (2024 - 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 Million
Key Companies Profiled IBM (US), Google (US), Microsoft (US), Amazon (US), Siemens Healthineers (DE), Philips (NL), GE Healthcare (US), CureMetrix (US), Aidoc (IL)
Segments Covered Application, Technology, End Use, Component
Key Market Opportunities Integration of advanced analytics and machine learning in patient care optimization.
Key Market Dynamics Rapid advancements in technology drive competitive forces in the healthcare artificial-intelligence market, reshaping service delivery.
Countries Covered India

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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.

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