AI in orthopedic surgery market seen climbing to $0.87B by 2030

The Business Research Company says the AI in orthopedic surgery market will grow from $0.26 billion in 2025 to $0.33 billion in 2026, with North America leading the market. The report points to rising musculoskeletal disease, surgical robotics and AI-driven planning as key demand drivers.

Why it matters: - AI is moving deeper into orthopedic surgery as hospitals look for more precise planning, better implant placement and more personalized care. - The market is still small, but rapid growth suggests AI tools are becoming a bigger part of orthopedic workflows and capital spending. - Rising musculoskeletal disease adds urgency, since providers need faster diagnosis and more effective treatment planning.

What happened: - The Business Research Company published a 2026 global market report on artificial intelligence in orthopedic surgery. - The report says the market will grow from $0.26 billion in 2025 to $0.33 billion in 2026. - The report projects the market will reach $0.87 billion by 2030. - North America held the largest share of the market in 2025. - The report covers Asia-Pacific, South East Asia, Western Europe, Eastern Europe, South America, the Middle East and Africa. - The company also added market attractiveness scoring, TAM analysis, company scoring matrix graphics and tables, Excel-based forecasting dashboards, market hotspots infographics, key technology analysis and updated graphics.

The details: - The report cites a 27.5% CAGR for 2026 growth and a 27.2% CAGR through 2030. - Growth drivers include more orthopedic procedures, advances in medical imaging, wider use of minimally invasive techniques, stronger hospital digital infrastructure and a greater focus on surgical precision. - The report says future demand will be supported by personalized orthopedic care, investment in surgical robotic technologies, broader use of AI-driven clinical decision support and deeper integration with electronic health records. - Emerging uses include AI-assisted surgical planning, computer vision in surgery, robotic systems, predictive analytics for patient outcomes and more accurate implant placement. - AI in orthopedic surgery is used to improve surgical planning, diagnose bone and joint disorders, tailor procedures, predict complications and support precise implant placement. - The technology is designed to reduce errors, speed recovery and improve care quality using patient-specific data. - Rising musculoskeletal disorders are a primary growth factor. - Those disorders affect muscles, bones, joints, tendons or ligaments and can cause pain and limited movement. - Sedentary lifestyles are contributing to the rise in these conditions. - AI can support earlier diagnosis through image analysis and data interpretation, while also improving treatment planning and outcome predictions. - The UK’s Office for Health Improvement and Disparities reported in January 2024 that 18.4% of people age 16 and older had a long-term musculoskeletal condition in 2023, up from 17.6% in 2022.

Between the lines: - The market forecast suggests orthopedic AI is shifting from a niche technology toward a broader clinical toolset. - The mix of robotics, imaging and decision-support software points to a market where software and hardware adoption are likely to reinforce each other. - North America’s lead likely reflects earlier digital adoption and stronger healthcare spending, though the report does not break out the drivers by region. - The musculoskeletal disease data gives the market a clear demand base beyond abstract technology hype.

What's next: - The report expects continued expansion in AI-assisted planning, predictive analytics and robotic surgery systems through 2030. - Providers and vendors will likely focus on integrating AI with electronic health records and surgical workflows. - The report’s new analytics tools suggest the company is targeting buyers looking for more detailed market sizing and competitive mapping.

The bottom line: - AI in orthopedic surgery is moving from early adoption to scale, with demand driven by a growing patient burden and a push for more precise, data-enabled procedures. - If the forecast holds, the market will more than triple by 2030.