Can India's Healthcare System be Adapted by Generative AI? Exploring Investments in Modern Infrastructure

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Adoption of modern digital health technologies and artificial intelligence is driving a rapid digital transformation in India's healthcare sector. Hospitals are benefiting from the growing use of generative AI and other AI technologies in clinical decision support, drug discovery, diagnostics and patient care. More than 834 million Indians already have digital health IDs, and hundreds of thousands of healthcare providers are linked to the country's digital ecosystem due to government programs like the Ayushman Bharat Digital Mission. Additionally, the nation is making significant investments in AI infrastructure through initiatives like the IndiaAI Mission, which has set aside more than 10300 crore rupees to increase AI innovation and computing capacity. The healthcare AI market is expected to expand quickly along with digital health adoption.

 

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How does AI make a difference in the Indian healthcare system?

Artificial intelligence is rapidly transforming healthcare around the world by improving diagnosis, treatment and healthcare management. AI technologies could help close the gap for the 4.5 billion people globally who lack access to basic healthcare services by assisting physicians, automating medical analysis, and developing digital health solutions. Through advanced digital platforms, AI tools are already being used to interpret brain scans for stroke detection, detect bone fractures, predict diseases before symptoms appear and support clinical decision making. These innovations have the potential to increase efficiency, reduce costs, and improve patient outcomes worldwide. However, the healthcare industry still lags behind other sectors in adopting AI and requires proper training, regulation and responsible deployment to ensure safe and equitable healthcare innovation.

 

GenAI potential outcomes within healthcare

 

 

How can the Ayushman Bharat Digital Mission ABDM be implemented with the aid of GenAI?

Sponsored by the Ministry of Health and Family Welfare and implemented by the National Health Authority, the Ayushman Bharat Digital Mission ABDM aims to establish a national digital health ecosystem that connects hospitals, healthcare providers and patients through interoperable digital platforms. Initially, the initiative was approved with a five-year budget of 1600 crore rupees to build national health registries and Ayushman Bharat Health Accounts ABHA along with other digital health infrastructure. ABDM was allocated approximately 350 crore rupees in the Union Budget 2026 to 2027, slightly higher than the 324 crore rupees allocated the previous year to support the expansion of digital health. According to recent updates, tens of millions of electronic health records and more than 70 to 80 crore ABHA health IDs have been created, enabling secure digital health data sharing across India's healthcare system.

 

Market size and growth

The industry is evolving rapidly as AI technologies are increasingly integrated into hospital management systems, treatment planning, diagnostics and patient monitoring. The demand for better data utilisation, improved patient outcomes, and greater healthcare efficiency is driving this transformation. Growing investments and technological innovation are positioning artificial intelligence as a key component of modern healthcare delivery in India.

 

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The India's Healthcare System is experiencing rapid expansion, with its value estimated at USD 127.34 Million in 2024 and projected to surge dramatically to USD 4,131.31 Million by 2035. This remarkable growth reflects a compound annual growth rate (CAGR) of 37.21% between 2024 and 2035, highlighting strong industry momentum driven by technological advancements, increasing investments, and expanding adoption across multiple sectors worldwide. As demand continues to rise, the market is expected to witness significant innovation and strategic developments, positioning it as one of the fastest-growing segments in the global economy.

 

 

Industry correlated statistics

The global artificial intelligence in healthcare market size was around 25.41 billion in 2024 and is expected to reach approximately 465.33 billion by 2035 with a compound annual growth rate of 30.26% between 2025 and 2035.

 

The global generative artificial intelligence in healthcare market size was around 2.02 billion in 2024 and is projected to reach approximately 51.12 billion by 2035 with a compound annual growth rate of 34.14% between 2025 and 2035.

 

With an early-stage focus, India's generative AI startups have attracted more than 750 million dollars in cumulative funding since 2023. About 75% of startups in the first half of 2024 are now generating revenue compared to 22% in the first half of 2023, according to the report titled India's Generative AI Startup Landscape 2024, released at the Nasscom Future Forge event in Bengaluru.

 

 

Investments supporting India's AI Healthcare Innovation

The University of Toronto, in partnership with the Indian Institute of Science IISc will establish an AI healthcare centre in Mumbai. Announced by University of Toronto president Melanie Woodin, the centre aims to develop predictive healthcare systems, enhance early disease diagnosis, expand access to care and train specialists working at the intersection of AI and medicine.

 

The Indian Council of Medical Research has sanctioned 1.61 crore rupees for the Indian Institute of Engineering Technology, Lucknow, to create an AI-powered pain detection application. In collaboration with SGPGIMS Lucknow, AIIMS Delhi, and AIIMS Mangalagiri, the project will collect clinical data to help doctors diagnose and manage chronic pain, including back and neck pain, through a user-friendly mobile platform.

 

The Greater Chennai Corporation is introducing AI-based chest X-ray analysis at 15 urban primary health centres and seven mobile tuberculosis screening units. Around 1 crore rupees has been sanctioned for technology and equipment to accelerate TB detection and improve diagnostic accuracy through automated image analysis and faster reporting.

 

The Andhra Pradesh government has introduced AI-based diagnostic tools in 18 government hospitals as part of a pilot project. Developed by technology startups, nearly 40 devices will conduct screening and confirmatory tests for 15 diseases, including cancer, tuberculosis and heart conditions. The initiative aims to accelerate diagnosis, improve treatment quality and modernise public healthcare.

 

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Top companies in Generative AI building assets in Healthcare

• Aindra Systems
• Artivatic AI
• Dozee
• HealthPlix
• Niramai Health Analytix
• Predible Health
• Qure AI
• SigTuple
• TCS MedTech Division
• Tricog Health

 

1. Aindra Systems
   Aindra Systems is an Indian health technology company specialising in AI-driven medical diagnostics, particularly for early disease detection such as cervical cancer. The company recently expanded its AI-based digital pathology and tele-diagnostics platforms, allowing hospitals to analyse medical images more quickly and improve screening accuracy. Its solutions process large volumes of pathology data using generative AI-assisted algorithms and advanced computer vision technology. The company has secured approximately $ 2 million in seed funding, along with additional grants from institutions, government innovation programs and incubators. These investments support the development of cloud-based medical imaging technologies, scalable diagnostic platforms, and AI models designed to improve disease screening, especially in rural and underserved healthcare environments.
    
2. Dozee
   Dozee is a Bengaluru-based health technology company focused on AI-powered early warning systems and remote patient monitoring for hospitals and home healthcare. The company recently upgraded its digital health platform by integrating advanced AI and data-driven analytics that enable real-time monitoring of vital signs such as heart rate, breathing, sleep patterns, and stress levels through a contactless sensor device placed under a patient's mattress. While the platform primarily uses predictive AI, it is gradually incorporating generative AI-assisted analytics to enhance clinical insights and patient data interpretation for healthcare professionals. The company raised about 71.5 crore rupees in 2025 to support product innovation, global expansion, and research and development in AI-driven healthcare monitoring technologies.
    
3. Niramai Health Analytix
   Niramai Health Analytix is a Bengaluru-based health technology startup developing AI-powered solutions for early cancer detection. The company's flagship platform, Thermalytix, uses artificial intelligence, thermal imaging and data analytics to detect early signs of breast cancer in a non-invasive and radiation-free manner. The system analyses heat patterns from thermal scans using machine learning algorithms, enabling accurate screening even in rural and low-resource healthcare settings. The company has expanded its AI-driven diagnostic deployments across hospitals and screening programs, with its platform used to screen hundreds of thousands of women across multiple cities and countries. Niramai has raised approximately $ 12.5 million in investment to strengthen AI research capabilities, improve predictive accuracy, and scale preventive healthcare diagnostics.
    
4. Qure AI
   Qure AI is a Mumbai-based health technology company that develops artificial intelligence solutions to assist radiologists in diagnosing diseases such as lung cancer, stroke and tuberculosis using medical imaging, including X-rays and CT scans. The company is increasingly integrating advanced AI and generative AI technologies to automate clinical workflows and develop AI copilots that can summarize doctor patient interactions and support medical decision-making. In a recent Series D funding round led by Lightspeed and 360 ONE Asset Management, the company raised 65 million dollars to accelerate global expansion and enhance foundational and generative AI models for healthcare diagnostics.
    
5. Tricog Health
   Tricog Health is a Bengaluru-based health technology company specialising in AI-powered cardiovascular diagnostics and remote patient monitoring. Its platform uses artificial intelligence to analyse ECG data in real time and detect more than 140 heart conditions, including acute coronary syndrome and heart attacks, enabling faster clinical decisions and early treatment. The company recently strengthened its partnership with Omron Healthcare, which made an additional strategic investment to expand AI-driven cardiac care and launch solutions such as KeeboHealth, a remote monitoring system combining AI ECG analytics with connected medical devices for home-based heart failure management. Tricog has raised around $ 30 million in total funding, including 8.5 million dollars in Series B2.

 

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Final sum up

India's healthcare sector is undergoing a major transformation driven by generative AI technologies in diagnostics, drug discovery, patient monitoring and hospital management. Government initiatives such as the IndiaAI Mission and the Ayushman Bharat Digital Mission are strengthening digital health infrastructure and enabling secure healthcare data sharing for more than 834 million digital health ID holders. Strong investment momentum is visible through international collaborations such as the University of Toronto and the Indian Institute of Science AI healthcare centre, as well as government-backed pilot programs for tuberculosis and cancer screening. Leading companies building generative AI healthcare solutions include Qure AI, Niramai Health Analytix, SigTuple, Dozee, Tricog Health, Aindra Systems, HealthPlix, Artivatic AI, Predible Health and TCS MedTech Division.

 

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