India AI in Medical Diagnostics Market 2025 – 2034

Reports Description

The India AI in Medical Diagnostics Market is forecast to grow at a CAGR of 12.72% from 2025 to 2034. The market is expected to reach USD 191.4 Million by 2034, up from USD 64.8 Million in 2025.

Overview

This growth is indicative of the increased penetration of AI in the Indian medical industry and the increasing emphasis by the stakeholders on the integration of AI in the medical diagnostic industry.

Key Trends & Drivers

The India AI in Medical Diagnostics Market Trends has tremendous growth opportunities due to several reasons:

• Increasing Demand for AI Tools in Medical Diagnostic Industry: The increasing integration of the AI based tools in the medical diagnostic industry across India is due to increasing numbers of tech-savvy people. The AI driven tools in medical diagnostics play a major role and offer various benefits, such as more reliable diagnoses, reduced screening costs, improved health care access, and reduced physician workload. The current and future state of AI interpretation of medical images. The stakeholders operating in the medical diagnostic industry are integrating the AI driven tools in the identification, detection, and diagnosisof potential issues, reducing human error, improving resource allocation, and supportingclinicians in complex decision-making. These AI enabled tools can analyse the vast datasets and analyse the subtle patterns and automate routine tasks, allowing healthcare professionals to focus on patient care and complex cases.

• Rising prevalence of chronic diseases: The increasing prevalence of chronic diseases across India is due to the unhealthy lifestyle, increasing aging population, and growing penetration of various diseases. India is undergoing significant demographic transition due to the elderly population; those aged 60 and above are expected to reach 158.7 million by the end of 2025, accounting for 11.1% of the total population. This significant increase is creating numerous health challenges, including the prevalence of chronic diseases among the elderly. For instance, according to the “India Ageing Report 2023,” chronic conditions such as hypertension, diabetes, cardiovascular diseases, and chronic lung diseases are becoming increasingly common among this demographic. Furthermore, the data released by National institute of health revealed that more than 21% of the elderly in India reportedly have at least one chronic disease. More than 17% of elderly in rural areas and 29% in urban areas suffer from a chronic disease. Hypertension and diabetes account for about 68% of all chronic diseases. Thus, such an increase in the prevalence of the chronic diseases is expected to increase the demand for AI in the medical diagnostic market.

Opportunities

• Technological Advancements in the AI in Medical Diagnostic Technology: Today’s India AI in Medical Diagnostics is seeing rapid technological advancements for medical diagnoses focused on using and leveraging the machine learning and deep learning algorithms to enhance accuracy, speed, and personalization, leading to earlier detection of diseases through advanced analysis of medical images, electronic health records (EHRs), and genetic data. The AI built deep learning models and excels at rapidly and accurately analysing the various medical images, such as X-rays, CT scans, and MRIs, at high speed to detect subtle patterns and abnormalities often missed by the human eye, leading to earlier disease detection. The some of the major technological advancements include the AI-Powered Medical Image Analysis, Natural Language Processing (NLP) for EHRs, Predictive Analytics and Personalized Medicine. Thus, such technological advancements are expected to create lucrative opportunities for the market during the forecast period.

Key Threats

The India AI in Medical Diagnostics Market has a number of primary threats that will influence its profitability and future development. Some of the threats are:

• The High Costs of AI enabled Solutions: The costs of the AI enabled solutions in the medical diagnostic industry are very high due to the operational and implementation costs of these solutions. The increasing cost of AI in medical diagnostic solutions is impacted by various factors such as the solution’s complexity, integration into existing systems, infrastructure requirements such as on-premises vs. cloud, data management, regulatory compliance, and the need for customization. Furthermore, lack of skilled expertise to implement the India AI in Medical Diagnostics is expected to increase the overall cost of the AI enabled solutions in medical diagnostics. For instance, AI implementation in medical diagnostics often costs between USD 20,000 and USD 1,000,000. Healthcare firms may use AI to simplify processes, cut costs, and deliver quality care by working with a reputable AI software development services vendor. Thus, such factors are expected to restrain the overall market growth during the forecast period.

• Data Privacy and Security Concerns related to India AI in Medical Diagnostics: The India AI in Medical Diagnostics conducts the vast amount of crucial data during the treatments. The increasing incidences of the cyberattacks and data thefts are creating concerns about the implementation of AI in the medical diagnostics field. The various concerns highlighted by the stakeholders operating in the AI in the medical diagnostics field are reliance on vast amounts of sensitive patient data, increasing the risk of breaches, unauthorized access, and misuse, and reducing the confidence of the stakeholders in AI technology, thereby reducing the overall market growth. The lack of adequate technological infrastructure across India to prevent the data breach related to AI technologies is restraining market growth. Furthermore, inadequate robust cybersecurity control systems in the Indian health care sector, such as proper encryption, access controls, and logging, can leave patient data exposed, thereby increasing data breach incidences. Thus, such aforementioned factors are restraining market growth.

Category Wise Insights

By Components

• Software: The software component segment is expected to hold significant market share during the forecast period. The software segments encompass various diagnostic tools, which can be used to analyze software-related issues such as bugs, crashes, compatibility problems, and performance bottlenecks. The medical diagnostics software tools are using the deep learning tools and technologies to analyze various patient data points, comparing them with extensive medical data to diagnose and prevent diseases.

• Services: The services segment encompasses the various AI integrated diagnostic services used to detect the diagnosis of the various diseases. AI-enabled services can reduce operational costs, provide crucial data for advanced diagnostics practices, and enable better monitoring of complex health issues. Some of the notable examples of the AI enabled technological services include Cloud technology services, AI integrated chatbots, AI enabled services, and remote access to essential data.

• Hardware: This segment is expected to hold significant market share during the forecast period due to increasing adoption of the AI integrated hardware devices and components in the medical diagnostics field.

By End Use Industries

• Hospitals and Clinics: The hospitals and clinics segment dominated the India AI in Medical Diagnostics market. The hospitals and clinics across India are increasingly focusing on the integration of the AI enabled medical diagnostics solutions to increase the accuracy and speed of diagnostics. The rising demand for early disease detection is driven by its potential to save lives, reduce healthcare costs, and improve quality of life. This demand is pushing rapid adoption of AI diagnostics, biomarker research, and personalized medicine solutions globally. The increasing number of hospitals and clinics across India due to supportive government policies and increasing investment by the private sector is expected to drive the demand for AI integrated solutions in the medical diagnostics field. For instance, as per the data published by the Ministry of Health and Family welfare the India has 23,582 government hospitals, 29,899 Primary Health Centres (PHCs), 5,568 Community Health Centres (CHCs), 1,255 Sub-District Hospitals (SDHs), and 1,003 District Hospitals (DHs). Thus, such a dense network of hospitals in India is expected to drive the overall market growth during the forecast period.

• Imaging Center: The imaging center segment is expected to hold significant market share during the forecast period. The increasing number of imaging centers across India, coupled with increasing demand for early detection of various diseases, is expected to drive the market growth of this segment during the forecast period. For instance, according to the data published by the Ministry of Health and Family welfare there are more than 1,450 imaging centers available in Delhi and 2,166 in Maharashtra; this number is expected to increase significantly due to increasing awareness about health care and increasing disposable income. Thus, such factors are expected to drive the overall market growth during the forecast period.

Tariff and Trade Impact

The global medical diagnostic landscape is shifting drastically due to the Trump-led tariff policy changes. The Trump administration has imposed a baseline 10% tariff on nearly all imported goods; individual regions and countries face steeper rates, from 20% in the European Union to 145% on Chinese imports. With a long-term goal to enhance national resilience, the more immediate implications for the pharmaceutical and healthcare sectors are profound. From rising costs to supply chain disruptions, these short-term impacts cannot be ignored, requiring decisive action from organizations to ensure continuity, affordability, and care quality.

The U.S. buyers and end users are looking to diversify their supply chains away from China, and India represents a viable alternative. The introduction of U.S. healthcare tariffs is triggering a wave of disruption across the ecosystem, compelling pharma and healthcare companies, providers, and payers to reassess sourcing, operations, and cost structures through a future-ready lens. The short-term impacts of tariffs on the medical diagnostics industry include the increasing cost of raw materials, supply shortages, reduced export volumes, disruptions in the value and supply chains, increasing production cost, and increasing labour cost. These impacts of tariffs are accelerating the urgency for digital transformation, operational redesign, and regulatory collaboration.

Report Scope

Regional Analysis

• South India: South India includes various states such as Tamil Nadu, Andhra Pradesh, Telangana, Karnataka, and Kerala. The presence of well-established private hospitals in the region, coupled with supportive government policies, is expected to drive the market growth of this region. The city of Chennai is considered the health capital of India. Chennai caters its Medical services to 40% of domestic patients and 45% of international health tourists. Kerala is the leading state in south India because it has one of the best healthcare systems in India, known for its high literacy rates, strong preventive care, and robust public health infrastructure.

• North India: North India includes UP, Bihar, Delhi NCR, Himachal Pradesh, Punjab, Uttarakhand, Haryana, and Rajasthan, along with the Union Territories of Chandigarh, Jammu and Kashmir, and Ladakh. The medical diagnostics centers are increasing in North India due to supportive policies and increasing investment by public and private sectors. However, challenges associated with accessibility, quality, and affordability are creating hurdles in the market. Major initiatives like the National Health Policy and Ayushman Bharat are enhancing digital infrastructure, but progress remains uneven, with persistent issues of understaffing, lack of drugs, and dilapidation in public health centers.

• West India: West India includes Maharashtra, Gujarat, Goa, and possibly parts of Rajasthan and Madhya Pradesh. The healthcare system of these states is a mix of public and private sectors, with primary care in rural areas and more specialized care concentrated in urban centers. Maharashtra held the highest market share in this region due to the presence of advanced infrastructure and increasing investment by the key private sector in the region, particularly in cities like Mumbai and Pune, which attract medical tourists with their world-class hospitals and skilled professionals. For instance, Qure.AI is a healthtech startupemploying AI to assist in medical imaging diagnostics. The company was founded in 2016 and is based in Mumbai, Maharashtra, India.

• East India: The East Indian states include Bihar, Jharkhand, Odisha, and West Bengal. The presence of a well-established healthcare industry and increasing supportive policies by respective governments are expected to drive the market growth of this region during the forecast period.

Key Developments

• In May 2025, The parent company of digital healthcare brands such as PharmEasy, Thyrocare and Retailio, the API Holdings (API), made a collaboration with IBM to implement AI driven observability using IBM Instana. Through this partnership, IBM and API holdings are focusing on the improvement of various applications such as monitoring and incident management across API’s digital infrastructure. Through this IBM Instana, API has enabled full-stack, real-time observability across its microservices architecture.

• In Aug 2023, Telerad Tech deployed Neural Assist, a proprietary deep-learning-based software device that uses the power of AI (Artificial Intelligence) to analyze head CT scans. Telerad Group has announced the signing of a Memorandum of Understanding (MoU) with the National Institute of Mental Health and Neurosciences (NIMHANS) to strengthen efforts in the prompt detection and interpretation of stroke and head injuries.

• In June 2024, Qure.ai and Strategic Radiology made a partnership to advance clinical accuracy and operational efficiency through easier access to cutting-edge medical imaging AI technology. The advancement of Artificial Intelligence (AI) in healthcare to support diagnostic decision making, stave off burnout and enhance quality patient care has taken a giant stride forward.

• In Sep 2024, Qure.ai, a global healthcare AI innovator secured the USD 65 million Series D funding round. Through this investment, Quere.AI is focusing on the expansion into the US market and other geographies. The company is also aiming to increase investment into foundational AI models and enable complementary med-tech company acquisitions.

Leading Players

The India AI in Medical Diagnostics Market is highly competitive, with a large number of product providers in the U.S. Some of the key players in the market include:

• Cardiotrack
• CrelioHealth
• HealthifyMe
• Niramai
• Practo
• Qure ai
• SigTuple
• Teleradiology Solutions
• Tricog Health
• Digital Diagnostics Inc.
• Enlitic
• IBM Corporation
• Imagen Technologies
• NVIDIA Corporation
• PathAI
• RADLogics
• Riverain Technologies
• Siemens Healthineers
• Microsoft Corporation
• Others

These firms apply a sequence of strategies to enter the market, including innovations, mergers, and acquisitions, as well as collaboration.

The India AI in Medical Diagnostics Market is segmented as follows:

By Component

• Software
• Services
• Hardware

By Application

• Radiology
• Oncology
• Cardiology
• Neurology
• Pathology
• Infectious Diseases

By End-use

• Hospitals & Clinics
• Imaging Centers
• Others