Generative Artificial Intelligence (AI) in Medical Imaging Market Report 2025

This Generative Artificial Intelligence (AI) in Medical Imaging market report delivers an in-depth analysis of the market’s key characteristics, including size, growth potential, and segmentation. It provides a detailed breakdown of the market across major regions and leading countries, highlighting historical data and future growth projections. The report also examines the competitive landscape, market share insights, emerging trends, and strategic developments shaping the market.

The generative artificial intelligence (AI) in medical imaging market size has grown exponentially in recent years. It will grow from $1.39 billion in 2024 to $1.87 billion in 2025 at a compound annual growth rate (CAGR) of 34.4%. The growth in the historic period can be attributed to telemedicine growth, growth in healthcare, a shift towards patient-centered care models, increasing demand for accurate diagnostics, and government initiatives and funding.

The generative artificial intelligence (AI) in medical imaging market size is expected to see exponential growth in the next few years. It will grow to $6.06 billion in 2029 at a compound annual growth rate (CAGR) of 34.1%. The growth in the forecast period can be attributed to increasing awareness about healthcare, increasing investment and collaboration, increasing regulatory support, increasing data augmentation capabilities, and increasing volume of medical imaging data. Major trends in the forecast period include multi-modal integration, enhanced diagnostic accuracy, real-time image enhancement, enhanced 3D visualization, and integration with electronic health records (EHRs).

The rising prevalence of chronic diseases is expected to drive the growth of generative artificial intelligence (AI) in the medical imaging market. Chronic diseases are long-term health conditions that persist over a person’s lifetime, often influenced by factors such as poor diet, lack of physical activity, and environmental exposures. Generative AI in medical imaging enhances the management of chronic diseases by improving early detection, increasing diagnostic accuracy, and personalizing treatment plans through advanced analysis and synthesis of complex imaging data. For instance, in March 2022, the Australian Bureau of Statistics reported that 78.6% of the Australian population had at least one long-term health issue, with 46.6% or 11.6 million people having at least one chronic illness in 2021. Additionally, in September 2022, the World Health Organization noted that chronic respiratory diseases were responsible for approximately 4.1 million deaths annually. Therefore, the growing prevalence of chronic diseases is driving the expansion of generative AI in the medical imaging market.

Major companies in the generative artificial intelligence (AI) in medical imaging market are focusing on developing AI tools through collaborations to improve diagnostic accuracy, streamline workflows, and accelerate research and development. These generative AI tools leverage advanced algorithms, including deep learning and generative models, to create, enhance, or interpret medical images. For example, in February 2024, HOPPR, a US-based AI imaging model developer, introduced a groundbreaking foundation model named Grace, created in partnership with Amazon Web Services (AWS), a US-based cloud computing company. Grace is designed to advance medical imaging by expediting development, analyzing a broad spectrum of grayscale shades, and supporting multi-modal learning through an accessible application programming interface (API). This API facilitates integration into various applications, potentially transforming radiology workflows and enhancing patient outcomes. Grace's advanced insights into medical imaging are expected to aid clinicians in making more informed decisions, leading to earlier interventions and improved treatment outcomes.

In July 2024, GE HealthCare Technologies Inc., a US-based medical technology company, announced its acquisition of Intelligent Ultrasound Group plc for $51 million. This strategic acquisition is intended to strengthen GE's position in the generative artificial intelligence (AI) sector within the medical imaging market. By integrating Intelligent Ultrasound's advanced AI capabilities into its ultrasound technologies, GE aims to enhance diagnostic accuracy and streamline workflows in medical imaging. Intelligent Ultrasound Group plc, based in the UK, specializes in developing AI-powered ultrasound imaging solutions, making it a valuable addition to GE's portfolio in improving healthcare outcomes.

Major companies operating in the generative artificial intelligence (AI) in medical imaging market are Google LLC, Siemens AG, NVIDIA Corporation, Philips Healthcare, GE Healthcare, VSP Global, HOPPR.AI, Successive Technologies Inc., Canon Medical Systems Corporation, Aidoc Inc., Viz.ai Inc., Qure.ai Technologies Pvt. Ltd., Yellow.ai, XenonStack Inc., Arterys Inc., Quantib B.V., Niramai Health Analytix Pvt Ltd., Kheiron Medical Technologies Ltd., QSS Technosoft Inc., Subtle Medical Inc., Enlitic Inc.

North America was the largest region in the generative artificial intelligence (AI) in medical imaging market in 2024. The regions covered in the generative artificial intelligence (AI) in medical imaging market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa. The countries covered in the generative artificial intelligence (AI) in medical imaging market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

Generative artificial intelligence (AI) in medical imaging involves employing AI, particularly deep learning algorithms, to generate, enhance, or simulate medical images. Techniques such as generative adversarial networks (GANs) and variational autoencoders (VAEs) enable these AI models to create new data that resembles real-world medical images and to improve the quality of existing imaging data. The main goal of generative AI in this field is to enhance the accuracy, efficiency, and functionality of imaging technologies used in healthcare.

The key types of generative AI in medical imaging include generative adversarial networks (GANs), variational autoencoders (VAEs), and other methods. GANs consist of two neural networks a generator and a discriminator that work against each other to produce realistic synthetic data through an adversarial process. These models are applied to various imaging modalities such as magnetic resonance imaging (MRI), computed tomography (CT), X-ray, and ultrasound. Their applications include diagnosis, image reconstruction, enhancement, and monitoring disease progression. This technology is utilized by a broad range of users, including hospitals, diagnostic centers, research institutes, and more.

The generative artificial intelligence (AI) in medical imaging market research report is one of a series of new reports that provides generative artificial intelligence (AI) in medical imaging market statistics, including generative artificial intelligence (AI) in medical imaging industry global market size, regional shares, competitors with a generative artificial intelligence (AI) in medical imaging market share, detailed generative artificial intelligence (AI) in medical imaging market segments, market trends and opportunities, and any further data you may need to thrive in the generative artificial intelligence (AI) in medical imaging industry. This generative artificial intelligence (AI) in medical imaging market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.

The generative artificial intelligence (AI) in medical imaging market consists of revenues earned by entities by providing services such as image synthesis and enhancement, image reconstruction, disease detection and diagnosis, predictive modeling, and training and education. The market value includes the value of related goods sold by the service provider or included within the service offering. The generative AI in medical imaging market also includes sales of products including synthetic data generators, AI-powered diagnostic assistants, data augmentation platforms, and anomaly detection systems. Values in this market are ‘factory gate’ values, that is, the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors, and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD, unless otherwise specified).

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

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