Artificial Intelligence (AI)-Based Orthopedic Imaging Market Report 2025

The artificial intelligence (AI)-based orthopedic imaging market size has grown exponentially in recent years. It will grow from $1.63 billion in 2024 to $2.2 billion in 2025 at a compound annual growth rate (CAGR) of 34.6%. The growth during the historic period is driven by rising prevalence of musculoskeletal disorders, an increasing geriatric population, a surge in orthopedic surgical procedures, growing burden of obesity-related joint complications, expansion of hospital infrastructure, and a higher incidence of road accidents and sports injuries.

The artificial intelligence (AI)-based orthopedic imaging market size is expected to see exponential growth in the next few years. It will grow to $7.14 billion in 2029 at a compound annual growth rate (CAGR) of 34.2%. The projected growth in the forecast period is supported by increasing demand for early diagnosis, rising healthcare expenditure on orthopedic care, growing patient awareness of orthopedic health, stronger focus on preventive healthcare, expansion of diagnostic imaging centers, and increased need for minimally invasive orthopedic procedures. Key trends in this period include advancements in three-dimensional imaging, innovations in automated fracture detection tools, development of hybrid imaging modalities, investment in orthopedic imaging startups, research and development in precision orthopedic imaging, and innovations in remote imaging and teleradiology platforms.

The growing prevalence of musculoskeletal disorders is expected to drive the expansion of the artificial intelligence (AI)-based orthopedic imaging market. These disorders affect the muscles, bones, joints, tendons, and ligaments, often leading to pain and movement limitations. The rising occurrence of musculoskeletal conditions can be attributed to the aging population, as people tend to experience joint degeneration and a decrease in bone density as they age. AI-based orthopedic imaging helps in diagnosing musculoskeletal disorders by providing accurate image analysis, which aids in early detection of irregularities. Automated interpretation reduces diagnostic errors, boosts clinical efficiency, and enhances personalized treatment plans. For example, in January 2024, the Office for Health Improvement and Disparities, a UK-based government body, reported that the prevalence of long-term musculoskeletal (MSK) conditions among people aged 16 and over who self-reported was 18.4% in 2023, a rise from 17.6% in 2022. This growing incidence of musculoskeletal disorders is contributing to the market growth of AI-based orthopedic imaging.

Key players in the AI-based orthopedic imaging market are concentrating on developing cutting-edge solutions such as advanced AI models that improve diagnosis, optimize workflows, and enable personalized care. These models use complex algorithms to analyze medical images, detect abnormalities, and automate interpretations, supporting tailored treatment strategies. For example, in February 2023, Clarius Mobile Health, a Canadian medical imaging company, received US Food and Drug Administration (FDA) 510(k) clearance for its Clarius musculoskeletal (MSK) AI model. This model automatically identifies and measures tendons in the foot, ankle, and knee using AI and is compatible with Clarius L7 HD3 and L15 HD3 handheld ultrasound scanners. The innovation aims to simplify musculoskeletal ultrasound by aiding real-time tendon detection, labeling, and measurement, which helps improve workflow, standardize measurements, and reduce interobserver variability. This AI-driven scanner makes high-definition imaging more accessible and user-friendly, resulting in faster and more accurate patient care.

In March 2025, moveUP.care, a healthcare company based in Belgium, acquired Deep Structure.ai for an undisclosed sum. This acquisition strengthens moveUP's presence in the US market and aims to improve orthopedic care by utilizing Deep Structure’s AI solutions to facilitate personalized, efficient, and evidence-based treatments. Deep Structure.ai, a US-based company, specializes in providing AI-driven orthopedic imaging and care solutions.

Major players in the artificial intelligence (AI)-based orthopedic imaging market are Synopsys Inc., United Imaging Intelligence Co. Ltd., Carestream Health Inc., Brainlab AG, Materialise NV, Aidoc Medical Ltd., Qure.ai Technologies Private Limited, Clarius Mobile Health Corp., Quibim S.L., RSIP Vision Ltd., GLEAMER SAS, Nano-X Imaging Ltd., CurveBeam AI Inc., AZmed SAS, VUNO Inc., Radiobotics ApS, PeekMed - Peek Health S.A., ImageBiopsy Lab GmbH, Synapsica Healthcare Pvt. Ltd., Oxipit UAB, Milvue SAS, and Raylytic Software GmbH.

North America was the largest region in the artificial intelligence (AI)-based orthopedic imaging market in 2024. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in artificial intelligence (AI)-based orthopedic imaging report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East and Africa. The countries covered in the artificial intelligence (AI)-based orthopedic imaging market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

Note that the outlook for this market is being affected by rapid changes in trade relations and tariffs globally. The report will be updated prior to delivery to reflect the latest status, including revised forecasts and quantified impact analysis. The report’s Recommendations and Conclusions sections will be updated to give strategies for entities dealing with the fast-moving international environment.

The fast surge in U.S. tariffs and the trade tensions that followed in spring 2025 are heavily affecting the medical equipment sector, particularly for imported imaging machine components, surgical-grade stainless steel, and plastic disposables. Hospitals and clinics resist price hikes, pressuring manufacturers’ margins. Regulatory hurdles compound the problem, as tariff-related supplier changes often require re-certification of devices, delaying time-to-market. Companies are mitigating risks by dual-sourcing critical parts, expanding domestic production of commoditized items, and accelerating R&D in cost-efficient materials.

Artificial intelligence (AI)-based orthopedic imaging involves the use of AI algorithms to analyze medical images of the musculoskeletal system, including bones, joints, and soft tissues. It assists radiologists and orthopedic specialists in detecting fractures, degenerative changes, and other abnormalities more accurately and efficiently. This technology enhances diagnostic precision, streamlines workflow, and supports personalized treatment planning in orthopedic care.

The primary components of AI-based orthopedic imaging include software, hardware, and services. The software consists of digital tools that apply AI to musculoskeletal images to detect abnormalities, improve diagnostic accuracy, and aid treatment planning. These tools are used across imaging modalities such as X-ray, computed tomography (CT), magnetic resonance imaging (MRI), and others. They can be deployed on-premises or in cloud-based environments and are applied in fracture detection, bone age assessment, joint disease diagnosis, bone tumor detection, and related applications.

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

The artificial intelligence (AI)-based orthopedic imaging market consists of revenues earned by entities by providing services such as automated image interpretation, fracture detection, bone density assessment, joint degeneration analysis, surgical planning support, workflow optimization, and clinical decision support for musculoskeletal disorders. The market value includes the value of related goods sold by the service provider or included within the service offering. The artificial intelligence (AI)-based orthopedic imaging market also includes sales of AI-powered imaging software, digital radiology platforms, orthopedic diagnostic tools, and automated image analysis 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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