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India AI Assisted Radiology Market

ID: MRFR/HC/63967-HCR
200 Pages
Rahul Gotadki
February 2026

India AI Assisted Radiology Market Research Report By Technique (X-rays, Magnetic Resonance Imaging, Computed Tomography, Positron Emission Tomography, Others), By Application (Neurology, Mammography, Cardiovascular, Respiratory and Pulmonary, Orthopedics, Others) and By End User (Hospitals, Diagnostic Imaging Centers, Others) - Growth & Industry Forecast 2025 To 2035

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India AI Assisted Radiology Market Summary

As per Market Research Future analysis, the India AI Assisted Radiology Market size was estimated at 65.0 USD Million in 2024. The AI-Assisted Radiology market is projected to grow from 85.92 USD Million in 2025 to 1400.0 USD Million by 2035, exhibiting a compound annual growth rate (CAGR) of 32.1% during the forecast period 2025 - 2035

Key Market Trends & Highlights

The India AI-assisted radiology market is poised for substantial growth driven by technological advancements and increasing demand for diagnostic accuracy.

  • The market is witnessing an increased adoption of AI technologies across various healthcare settings.
  • Collaboration between tech firms and healthcare providers is becoming more prevalent, enhancing service delivery.
  • Regulatory developments and standards are evolving to support the integration of AI in radiology practices.
  • Key market drivers include rising demand for diagnostic accuracy and government initiatives promoting healthcare advancements.

Market Size & Forecast

2024 Market Size 65.0 (USD Million)
2035 Market Size 1400.0 (USD Million)
CAGR (2025 - 2035) 32.19%

Major Players

Siemens Healthineers (DE), GE Healthcare (US), Philips Healthcare (NL), IBM Watson Health (US), Aidoc (IL), Zebra Medical Vision (IL), Arterys (US), Qure.ai (IN)

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India AI Assisted Radiology Market Trends

The India AI Assisted Radiology Market is experiencing notable growth, driven by advancements in artificial intelligence technologies and increasing demand for efficient diagnostic solutions. is experiencing notable growth, driven by advancements in artificial intelligence technologies and increasing demand for efficient diagnostic solutions. The integration of AI into radiology practices appears to enhance the accuracy of image interpretation, thereby potentially reducing the workload of radiologists. This trend is particularly relevant in India, where the healthcare sector is rapidly evolving, and the need for timely and precise diagnostics is paramount. Furthermore, the government’s initiatives to promote digital health solutions may further bolster the adoption of AI technologies in radiology, suggesting a promising future for this market. In addition, the rising prevalence of chronic diseases in India necessitates improved imaging techniques, which AI can facilitate. The collaboration between technology firms and healthcare providers seems to be fostering innovation, leading to the development of tailored AI solutions that address specific challenges faced by radiologists. As the market matures, it is likely that regulatory frameworks will evolve to ensure the safe and effective use of AI in medical imaging, thereby enhancing trust among healthcare professionals and patients alike.

Increased Adoption of AI Technologies

The ai assisted-radiology market is witnessing a surge in the adoption of AI technologies, as healthcare providers seek to improve diagnostic accuracy and efficiency. This trend is driven by the need for faster image analysis and the ability to handle large volumes of data, which AI can facilitate. As hospitals and clinics increasingly integrate AI tools into their workflows, the potential for enhanced patient outcomes becomes more apparent.

Collaboration Between Tech Firms and Healthcare Providers

There is a growing trend of collaboration between technology companies and healthcare providers in the ai assisted-radiology market. These partnerships aim to develop innovative solutions that address specific challenges in radiology. By leveraging the expertise of both sectors, the market is likely to see the emergence of customized AI applications that enhance diagnostic capabilities and streamline processes.

Regulatory Developments and Standards

As the ai assisted-radiology market evolves, regulatory developments and the establishment of standards are becoming increasingly important. The need for guidelines that ensure the safe and effective use of AI in medical imaging is evident. Regulatory bodies are likely to focus on creating frameworks that promote innovation while safeguarding patient safety, thereby fostering trust in AI technologies among healthcare professionals.

India AI Assisted Radiology Market Drivers

Growing Aging Population

India's aging population is emerging as a critical driver for the ai assisted-radiology market. With an increasing number of elderly individuals, the demand for diagnostic imaging services is expected to rise. Older adults are more susceptible to chronic diseases that require regular monitoring and imaging. The integration of AI in radiology can streamline processes, reduce wait times, and enhance the efficiency of diagnostic services. As the demographic shift continues, healthcare providers are likely to invest more in AI technologies to cater to the needs of this population, thereby propelling the growth of the ai assisted-radiology market.

Increasing Healthcare Expenditure

The rise in healthcare expenditure in India is significantly influencing the ai assisted-radiology market. As the government and private sectors allocate more resources towards healthcare, there is a growing emphasis on adopting advanced technologies to improve service delivery. Reports suggest that healthcare spending in India is projected to reach approximately $370 billion by 2025, which could lead to increased investments in AI-driven radiology solutions. This trend indicates a shift towards prioritizing technological advancements in diagnostics, thereby fostering a conducive environment for the growth of the ai assisted-radiology market.

Government Initiatives and Funding

Government initiatives aimed at advancing healthcare technology are playing a pivotal role in the growth of the ai assisted-radiology market in India. The Indian government has launched various programs to promote digital health and AI integration in medical practices. For instance, the National Digital Health Mission aims to create a robust digital health ecosystem, which includes the adoption of AI in radiology. Furthermore, funding opportunities for startups and research institutions focusing on AI applications in healthcare are on the rise. This financial support is likely to accelerate innovation and adoption of AI technologies, thereby enhancing the overall landscape of the ai assisted-radiology market.

Rising Demand for Diagnostic Accuracy

The AI-Assisted Radiology Market in India is experiencing a notable surge in demand for enhanced diagnostic accuracy. in India is experiencing a notable surge in demand for enhanced diagnostic accuracy. As healthcare providers increasingly recognize the limitations of traditional imaging techniques, the integration of AI technologies appears to offer a promising solution. Reports indicate that AI algorithms can improve diagnostic precision by up to 30%, thereby reducing the likelihood of misdiagnoses. This heightened accuracy is particularly crucial in a country where the burden of diseases such as cancer and cardiovascular conditions is significant. Consequently, the drive for improved patient outcomes is propelling investments in AI-assisted solutions, fostering growth within the ai assisted-radiology market.

Technological Advancements in Imaging Techniques

Technological advancements in imaging techniques are significantly shaping the ai assisted-radiology market in India. Innovations such as 3D imaging, enhanced MRI, and CT scans are becoming increasingly prevalent, necessitating the integration of AI for optimal utilization. AI algorithms can analyze complex imaging data more efficiently, providing radiologists with actionable insights. This synergy between advanced imaging technologies and AI is likely to enhance diagnostic capabilities and improve patient care. As healthcare facilities adopt these cutting-edge technologies, the ai assisted-radiology market is poised for substantial growth.

Market Segment Insights

By Technique: X-Rays (Largest) vs. Magnetic Resonance Imaging (Fastest-Growing)

In the India In the India AI-Assisted Radiology Market, the segment values exhibit varying degrees of market share., the segment values exhibit varying degrees of market share, with X-Rays leading as the largest segment due to their widespread use in diagnostics and initial patient assessments. This segment typically holds a significant portion of the market, reflecting its adaptability and integration with AI technologies to enhance diagnostic accuracy and speed. Conversely, Magnetic Resonance Imaging (MRI) is emerging as the fastest-growing segment, propelled by advancements in technology and increasing demand for detailed imaging capabilities. The rise of AI in MRI systems is enhancing the ability to interpret complex images, thereby increasing their adoption in hospitals and clinics. This trend signifies a shift towards more sophisticated diagnostic techniques that leverage AI efficiencies.

X-Rays (Dominant) vs. Magnetic Resonance Imaging (Emerging)

X-Rays are considered the dominant technology in the India ai assisted-radiology market, primarily due to their extensive application in a variety of medical fields and their cost-effectiveness. They serve as the first line of diagnosis for many conditions, ensuring their continuous relevance in healthcare. On the other hand, Magnetic Resonance Imaging is seen as an emerging technology, thanks to its superior imaging capabilities and the introduction of AI-driven enhancements that improve diagnostic precision. The growth of MRI is further supported by a rise in chronic diseases requiring detailed imaging, thus positioning it favorably among healthcare providers aiming for advanced diagnostics.

By Application: Mammography (Largest) vs. Neurology (Fastest-Growing)

The India ai assisted-radiology market demonstrates a diverse application segment, with Mammography representing the largest share due to the rising incidence of breast cancer awareness and screening initiatives. Other applications such as Neurology, Cardiovascular, and Orthopedics also contribute significantly, showcasing the broad applicability of AI in healthcare diagnostics. The Respiratory and Pulmonary segment, along with the Others category, are gradually gaining traction as innovations continue to emerge. Growth within this segment is propelled by advancements in AI technologies and an increasing demand for precision in diagnostics. Among these, Neurology is identified as the fastest-growing area, driven by a surge in neurological disorders and the need for early detection. With healthcare systems focusing on enhancing patient outcomes, AI-assisted applications are likely to witness increasing adoption, further expanding this market segment.

Mammography (Dominant) vs. Neurology (Emerging)

Mammography remains the dominant application within the India ai assisted-radiology market, primarily due to comprehensive screening programs and a heightened focus on early detection of breast cancer. This application benefits from advanced imaging technologies that improve accuracy in diagnostics. On the other hand, Neurology is emerging as a critical area, characterized by innovative AI solutions that assist in the early identification of neurological conditions such as Alzheimer’s and Parkinson’s disease. The rapid advancement in machine learning algorithms specifically tailored for brain imaging contributes to its growth. Both segments underscore the pivotal role of AI in enhancing diagnostic capabilities, yet they cater to different medical specialties and patient needs, highlighting the diverse landscape of the market.

By End User: Hospitals (Largest) vs. Diagnostic Imaging Centers (Fastest-Growing)

In the India ai assisted-radiology market, hospitals represent the largest segment, commanding a significant share due to their extensive infrastructure and high patient volumes. This segment benefits from substantial investments in advanced imaging technologies, enhancing diagnostic accuracy and treatment outcomes. Conversely, diagnostic imaging centers are gaining momentum as healthcare providers seek specialized services and efficiency, therefore carving out an increasing share within the market. The growth trends for both segments are influenced by rising healthcare demands and technological advancements. Hospitals leverage AI to streamline workflows and improve diagnostic precision, while diagnostic imaging centers focus on niche services and rapid access to imaging. As more patients turn to AI-assisted solutions for their radiological needs, these segments are poised for continued expansion, with diagnostic centers appearing as the fastest-growing option in this landscape.

Hospitals (Dominant) vs. Diagnostic Imaging Centers (Emerging)

Hospitals serve as the dominant force in the India ai assisted-radiology market, characterized by extensive resources and a wide range of medical services. Their investments in AI technologies enable improved efficiency in patient management and imaging procedures. On the other hand, diagnostic imaging centers are emerging as a vital part of the market, providing specialized imaging services often with shorter wait times. These centers often invest in cutting-edge AI solutions to enhance diagnostic capabilities and patient experience. The competition between these segments drives innovation and efficiency, benefiting overall healthcare delivery.

Get more detailed insights about India AI Assisted Radiology Market

Key Players and Competitive Insights

The ai assisted-radiology market in India is characterized by a dynamic competitive landscape, driven by rapid technological advancements and increasing demand for efficient diagnostic solutions. Major players such as Siemens Healthineers (DE), GE Healthcare (US), and Qure.ai (IN) are at the forefront, each adopting distinct strategies to enhance their market presence. Siemens Healthineers (DE) focuses on innovation through the development of advanced imaging technologies, while GE Healthcare (US) emphasizes partnerships with local healthcare providers to expand its reach. Qure.ai (IN), a homegrown player, leverages its AI capabilities to provide cost-effective solutions tailored to the Indian market, thus shaping a competitive environment that prioritizes technological prowess and localized offerings.Key business tactics within this market include localizing manufacturing and optimizing supply chains to reduce costs and improve service delivery. The competitive structure appears moderately fragmented, with several players vying for market share. However, the collective influence of key players like Philips Healthcare (NL) and IBM Watson Health (US) suggests a trend towards consolidation, as these companies seek to enhance their operational efficiencies and broaden their service portfolios.

In September Siemens Healthineers (DE) announced a strategic partnership with a leading Indian hospital chain to implement AI-driven diagnostic solutions across its facilities. This collaboration is poised to enhance patient outcomes by streamlining radiology workflows and improving diagnostic accuracy. The strategic importance of this partnership lies in its potential to establish Siemens as a leader in the Indian market, leveraging local expertise to drive innovation.

In October GE Healthcare (US) launched a new AI-powered imaging platform designed specifically for the Indian healthcare landscape. This platform aims to address the unique challenges faced by radiologists in India, such as high patient volumes and resource constraints. The introduction of this platform signifies GE's commitment to tailoring its offerings to meet local needs, thereby strengthening its competitive position.

In August Qure.ai (IN) secured a funding round that will enable it to expand its AI capabilities and enhance its product offerings. This investment is expected to accelerate the development of new algorithms that improve diagnostic accuracy in radiology. The strategic importance of this funding lies in Qure.ai's ability to innovate rapidly, positioning itself as a formidable competitor against larger multinational corporations.

As of November current competitive trends in the ai assisted-radiology market include a pronounced focus on digitalization, sustainability, and the integration of AI technologies. Strategic alliances are increasingly shaping the landscape, as companies recognize the value of collaboration in driving innovation. Looking ahead, competitive differentiation is likely to evolve from traditional price-based competition towards a model that prioritizes technological innovation, reliability in supply chains, and the ability to deliver tailored solutions to diverse healthcare environments.

Key Companies in the India AI Assisted Radiology Market include

Industry Developments

In recent developments within the India AI Assisted Radiology Market, companies like MaxQ AI, CureMetrix, and Qure.ai have made notable advancements in AI technology for medical imaging and diagnostics. For example, in September 2023, Siemens Healthineers announced its expansion into India with new AI solutions aimed at enhancing radiology workflows, reflecting a growing emphasis on technological integration in healthcare.

Meanwhile, GE Healthcare continues to invest in AI capabilities, aiming to improve diagnostic accuracy and operational efficiency in Indian healthcare facilities. There's also an increasing collaboration among entities, such as a joint venture announced in August 2023 involving IBM Watson Health and local technology firms to develop tailored AI applications for the Indian market. Merger and acquisition activity has also been notable, with Aidoc acquiring a smaller technology firm in July 2023 to expand its machine-learning capabilities.

These developments indicate a robust growth trajectory for the AI Assisted Radiology sector in India, driven by increased investments and technological partnerships. Over the past two to three years, the market has witnessed a significant rise in demand due to the need for efficient diagnostic solutions, expanding the recognition and integration of AI tools in radiology practices across the country.

Future Outlook

India AI Assisted Radiology Market Future Outlook

The AI Assisted Radiology Market in India is poised for growth at 32.19% CAGR from 2025 to 2035, driven by technological advancements and increasing healthcare demands.

New opportunities lie in:

  • Development of AI-driven diagnostic imaging software solutions
  • Partnerships with healthcare providers for integrated AI systems
  • Expansion into tele-radiology services leveraging AI capabilities

By 2035, the market is expected to achieve substantial growth and innovation.

Market Segmentation

India AI Assisted Radiology Market End User Outlook

  • Hospitals
  • Diagnostic Imaging Centers
  • Others

India AI Assisted Radiology Market Technique Outlook

  • X-Rays
  • Magnetic Resonance Imaging
  • Computed Tomography
  • Positron Emission Tomography
  • Others

India AI Assisted Radiology Market Application Outlook

  • Neurology
  • Mammography (Breast Cancer)
  • Cardiovascular
  • Respiratory and Pulmonary
  • Orthopedics
  • Others

Report Scope

MARKET SIZE 2024 65.0(USD Million)
MARKET SIZE 2025 85.92(USD Million)
MARKET SIZE 2035 1400.0(USD Million)
COMPOUND ANNUAL GROWTH RATE (CAGR) 32.19% (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 Million
Key Companies Profiled Siemens Healthineers (DE), GE Healthcare (US), Philips Healthcare (NL), IBM Watson Health (US), Aidoc (IL), Zebra Medical Vision (IL), Arterys (US), Qure.ai (IN)
Segments Covered Technique, Application, End User
Key Market Opportunities Integration of advanced algorithms enhances diagnostic accuracy in the ai assisted-radiology market.
Key Market Dynamics Rapid technological advancements drive competitive dynamics in the AI assisted-radiology market, enhancing diagnostic accuracy and efficiency.
Countries Covered India
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FAQs

What is the expected market size of the India AI Assisted Radiology Market in 2024?

The expected market size of the India AI Assisted Radiology Market in 2024 is valued at 73.08 million USD.

What is the projected market size for the India AI Assisted Radiology Market by 2035?

The projected market size for the India AI Assisted Radiology Market by 2035 is 263.0 million USD.

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

The expected CAGR for the India AI Assisted Radiology Market from 2025 to 2035 is 12.347%.

Which techniques are contributing to the growth of the India AI Assisted Radiology Market?

The techniques contributing to the growth include X-rays, Magnetic Resonance Imaging, Computed Tomography, and Positron Emission Tomography.

What is the market value for the X-rays segment in the India AI Assisted Radiology Market for 2024?

The market value for the X-rays segment in 2024 is 20.0 million USD.

What is the expected market size for the Computed Tomography segment by 2035?

The expected market size for the Computed Tomography segment by 2035 is 65.0 million USD.

Who are the major players in the India AI Assisted Radiology Market?

Major players in the market include MaxQ AI, Aidoc, CureMetrix, Qure.ai, and Zebra Medical Vision.

What is the market value for the Magnetic Resonance Imaging segment in 2024?

The market value for the Magnetic Resonance Imaging segment in 2024 is 15.0 million USD.

How much is the market for Positron Emission Tomography expected to grow by 2035?

The market for Positron Emission Tomography is expected to grow to 30.0 million USD by 2035.

What are the growth opportunities for AI Assisted Radiology in India?

Growth opportunities lie in increasing demand for accurate diagnostics and advancements in medical imaging technology.

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