As indicated in the latest market research report published by IMARC Group, titled "India Artificial Intelligence in Healthcare Market Size, Share, Trends and Forecast by Offering, Technology, Application, End User, and Region, 2025-2033" this report provides an in-depth analysis of the industry, featuring insights into the market. It encompasses competitor and regional analyses, as well as recent advancements in the market. the report offers a comprehensive analysis of the industry, including India artificial intelligence in healthcare market growth, share and regional insights.
Market Size & Future Growth Potential
The India artificial intelligence in healthcare market size was valued at USD 333.16 Million in 2024. Looking forward, IMARC Group estimates the market to reach USD 4,165.26 Million by 2033, exhibiting a CAGR of 30.78% from 2025-2033.
Recent News and Developments
- Amgen's USD 200 Million Hyderabad Innovation Center: In February 2025, Amgen announced a significant USD 200 million investment in a biotechnology innovation center in Hyderabad, focusing on AI-driven healthcare innovation and drug discovery. The initiative aims to strengthen India's contribution to global biopharmaceutical advancements and create 2,000 new employment opportunities by 2025.
- Kauvery Hospitals Launches India's First AI-Driven Advanced Heart Failure Centre: In February 2025, Kauvery Hospitals unveiled India's first AI-driven Advanced Heart Failure Centre in Bengaluru during the Kauvery Annual Heart Summit 2025. The centre provides comprehensive care integrating early diagnosis, advanced treatments, and real-time monitoring for over 8 million Indians affected by heart failure annually.
- MedMitra AI Secures INR 3 Crore Pre-Seed Funding: In January 2025, MedMitra AI obtained INR 3 crore in pre-seed funding to develop AI-powered healthcare solutions. The startup focuses on improving clinical decision-making by integrating multimodal data, optimizing diagnostics, and addressing inefficiencies in patient care for general medicine and chronic care segments.
- Niloufer Hospital's Amruth Swasth Bharath AI Blood Testing Tool: In March 2025, Niloufer Hospital in Hyderabad introduced Amruth Swasth Bharath, an AI-based non-invasive blood testing tool developed by Quick Vitals. The tool delivers results in under a minute using smartphone cameras for contactless assessments, revolutionizing public healthcare diagnostics for children and pregnant women while reducing diagnostic burden on healthcare professionals.
Latest Market Trends
India's artificial intelligence in healthcare sector is experiencing unprecedented transformation, driven by the convergence of rising disease burdens, critical physician shortages, government-backed digital infrastructure, and massive investments from both domestic startups and multinational corporations. The market is evolving rapidly across multiple dimensions that are fundamentally reshaping healthcare delivery.
AI-Powered Diagnostics and Medical Imaging: Revolutionizing Accuracy and Speed: Diagnostic capabilities represent one of the most impactful AI applications in Indian healthcare. AI-driven analysis of medical imaging—including CT scans, MRIs, X-rays, and digital pathology slides—is dramatically improving diagnostic accuracy while reducing human error and accelerating time-to-diagnosis. Machine learning algorithms trained on millions of images are identifying subtle patterns that clinicians might otherwise miss. In March 2025, Niloufer Hospital in Hyderabad introduced Amruth Swasth Bharath, a groundbreaking AI-based non-invasive blood testing tool developed by Quick Vitals that delivers results in under a minute using smartphone cameras for contactless assessments. This innovation is revolutionizing public healthcare diagnostics, particularly for children and pregnant women, while simultaneously reducing the diagnostic burden on overwhelmed healthcare staff. The success of such solutions in public healthcare settings demonstrates that AI diagnostics aren't restricted to elite private hospitals but are rapidly permeating the broader healthcare ecosystem, improving accessibility for underserved populations.
Integration of Wearable Devices and Real-Time Patient Monitoring: The proliferation of affordable wearable devices—smartwatches, fitness trackers, continuous glucose monitors, and remote patient monitoring systems—is generating unprecedented volumes of real-time health data. AI algorithms analyze this continuous stream of biometric information to detect anomalies, predict potential health crises, and enable timely interventions. The mCareWatch 241, introduced in July 2024 by mCare Digital and KORE, exemplifies this trend with features including GPS tracking, heart rate monitoring, fall detection, and integration with mobile apps and web dashboards. These wearables are democratizing health monitoring, making continuous surveillance accessible to millions of Indians regardless of economic status or geographic location, fundamentally changing how patients engage with their health.
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Market Scope and Growth Factors
India's artificial intelligence in healthcare market scope is expanding dramatically as the confluence of multiple factors creates an exceptional growth environment. The transformation extends beyond individual hospital implementations to systemic healthcare restructuring through government initiatives, regulatory frameworks, and ecosystem-wide digital infrastructure development.
Ayushman Bharat Digital Mission: Creating the Digital Health Backbone: The Ayushman Bharat Digital Mission (ABDM) represents one of the world's most ambitious digital health transformation initiatives. Launched on September 27, 2021, ABDM has achieved extraordinary milestones in building a national digital health infrastructure. As of September 2024, over 67 crore (670 million) Ayushman Bharat Health Accounts (ABHA) have been created, providing citizens with unique digital health IDs enabling secure access and sharing of health records. Over 42 crore (420 million) health records have been linked to ABHA, with more than 1.3 lakh healthcare facilities now ABDM-enabled, including over 17,000 private facilities. This infrastructure provides the essential foundation for AI applications—secure, interoperable health data systems are prerequisite to developing sophisticated AI diagnostics, predictive analytics, and personalized treatment systems. The mission has registered 3.3 lakh health facilities and 4.7 lakh healthcare professionals through its National Healthcare Providers Registry, creating verified registries essential for AI-driven clinical decision support. Additionally, ABDM has developed the ABDM WhatsApp Chatbot, offering instant healthcare support through the world's most widely used messaging platform, demonstrating innovative approaches to extending digital health access.
Strategic Government Investment and Policy Support: The Indian government has demonstrated unprecedented commitment to AI healthcare development through substantial financial investments and enabling policies. In the Union Budget allocation, the government has allocated INR 909.59 billion for healthcare expenses, including INR 372.26 billion specifically for the National Health Mission. The government has announced plans to spend over USD 1 billion on digital health solutions by 2025, providing essential financial support for technology adoption and infrastructure development. The National Health Authority (NHA) signed a landmark Memorandum of Understanding (MoU) with IIT Kanpur in September 2024 under the Ayushman Bharat Digital Mission to develop a comprehensive platform for AI in healthcare. This partnership focuses on creating digital public goods for AI research, benchmarking, and validating AI models—efforts designed to establish global standards and foster systematic innovation in the Indian healthcare ecosystem.
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Comprehensive Market Report Highlights & Segmentation Analysis
Analysis by Offering:
- Hardware
- Software
- Services
Analysis by Technology:
- Machine Learning
- Context-Aware Computing
- Natural Language Processing
- Others
Analysis by Application:
- Robot-Assisted Surgery
- Virtual Nursing Assistant
- Administrative Workflow Assistance
- Fraud Detection
- Dosage Error Reduction
- Clinical Trial Participant Identifier
- Preliminary Diagnosis
- Others
Analysis by End User:
- Healthcare Providers
- Pharmaceutical and Biotechnology Companies
- Patients
- Others
Regional Analysis:
- North India
- West and Central India
- South India
- East and Northeast India
Competitor Landscape
The report offers an in-depth examination of the competitive landscape. It includes a thorough competitive analysis encompassing market structure, key player positioning, leading strategies for success, a competitive dashboard, and a company evaluation quadrant. The competitive landscape analysis evaluates how established healthcare providers, innovative startups, multinational technology corporations, and pharmaceutical companies are positioning themselves within India's rapidly evolving AI healthcare market. Key strategies include partnerships with healthcare providers, technology collaborations, development of specialized AI platforms addressing specific healthcare needs, investments in federated learning and privacy-preserving technologies, and focus on affordability and accessibility for India's diverse economic strata.
Note:
Should you require specific information not included in the current report, we are pleased to offer customization options to meet your needs.
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