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Global AI in Orthopedic Surgery Market is Expected to Register 32.03% Growth Due to Rising Prevalence of Musculoskeletal Disorders and Aging Population
January 2025
Global AI in the orthopedic surgery market is experiencing substantial growth, propelled by a rising aging population, an increasing number of orthopedic surgeries, growing demand for minimally invasive surgeries, integration of AI in medical devices, and collaboration between medical device companies and IT companies.
According to the Markets and Data Research report, “Global AI in Orthopedic Surgery Market Assessment, Opportunities and Forecast, 2018-2032F”, the market for AI in orthopedic surgery is expected to grow at a CAGR of 32.03% from 2025 to 2032. The market size is expected to increase from USD 307.58 million in 2024 to USD 2,743.5 million by 2032. The global market for AI in orthopedic surgery is expanding due to a rising geriatric population, a growing number of orthopedic procedures, and the use of AI technologies by the healthcare industry. The growing demand for greater surgical accuracy as an integration of AI with robotic systems provides accuracy, which minimizes human errors and ensures better outcomes, increased healthcare budgets, and investments made by multiple organizations, in addition to government initiatives and technological developments, further drive this market's advancement.
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The surging demand for AI-powered orthopedic surgeries has popularized the use of AI-based surgical software and hardware among leading market players. The demand for AI-enabled surgeries will increase as there is an increase in orthopedic surgeries and a lack of orthopedic surgeons. Heavy investments in AI technology in the healthcare industry, especially in orthopedic surgeries, have resulted in high accuracy, enhanced preoperative planning, and improved decision-making through AI navigation systems. These advancements improve patient outcomes and minimize surgical complications, leading to the expansion of AI in the orthopedic surgery market. Stryker Corporation, Smith & Nephew plc, and Zimmer Biomet Holdings Inc. are prominent players investing in innovation with AI-based orthopedic solutions. Also, players such as Johnson & Johnson are growing through mergers, acquisitions, and strategic alliances in this emerging space.
The "Global AI in Orthopedic Surgery Market" report is 293 pages long and includes an in-depth TOC, over 170 market data figures, the latest market developments, key drivers and opportunities, and a thorough study of major company profiles. Moreover, the report offers strategic recommendations, pricing analysis, market share analysis, and value chain analysis in detail.
Key Takeaways:
Global AI in orthopedic surgery market is segmented in the following categories:
By Component Type: Software, Hardware, Services
By Technology: Machine Learning, Natural Language Processing, Context Aware Computing, Computer Vision
By Anatomy: Knee, Hip, Spine, Others
By End-user: Hospital, Orthopedic Clinics, Others
By Region: North America, Europe, South America, Asia-Pacific, Middle East and Africa
Based on component type, software is currently leading the AI in orthopedic surgery market due to its important role in improving surgical outcomes. The software enables effective surgery planning and offers real-time feedback, preventing errors in operations. An increase in regulatory clearance for AI software increases the confidence of medical professionals and promotes wider implementation. The advancement of AI technology also resulted in advanced software solutions that integrate smoothly into current surgical equipment, enhancing efficiency and workflow. Key players continuously invest in researching and creating new software to cope with growing demands for precision during orthopedic surgeries, reflecting a strong market trend in favor of software-based solutions as necessary equipment in contemporary orthopedic clinics.
Based on technology, machine learning (ML) is leading the AI in orthopedic surgery market, propelled by the increasing investments in research and development of machine learning solutions in orthopedics. Partnerships among technology companies, healthcare organizations, and academic researchers are promoting the creation of sophisticated ML algorithms specifically designed for orthopedic surgery. ML models are being increasingly applied to forecast postoperative results, including recovery periods and possible complications. By examining past patient data, these models can give insights that enable surgeons to make well-informed decisions regarding treatment plans and surgical methods.
Based on anatomy, the rising prevalence of knee conditions, including osteoarthritis and injuries, is fueling demand for knee procedures. As the population ages, the incidences of these conditions are increasing, thereby creating a greater need for procedures such as total knee arthroplasties and ligament reconstructions. The creation of robotic-assisted surgical systems for knee procedures has gained acceptance. These systems enhance precision and minimize recovery time, providing a compelling alternative both for surgeons and patients alike. The favorable regulatory environment supports innovation and promotes the entry of new products into the marketplace, specifically those aimed at knee procedures.
Based on end-users, hospitals typically conduct high numbers of orthopedic surgeries, including total joint arthroplasties and other surgeries. The increasing incidence of musculoskeletal diseases among the aging population drives demand for these surgeries, and therefore, hospitals are catalysts for the uptake of AI solutions that enhance the efficiency and effectiveness of surgeries. Hospitals also spend more on advanced technologies like AI and robotic systems to improve surgical precision and patient outcomes. Integrating AI into surgical procedures allows more efficient preoperative planning, intraoperative navigation, and postoperative monitoring, which are critical for the success of orthopedic surgeries.
Based on the region, Asia-Pacific is witnessing accelerating growth in the market for orthopedic surgery utilizing AI, which is contributed by various determinants such as a vast pool of patients, higher healthcare expenditures, and improved awareness of orthopedic issues. This boom is also strengthened by technological advances and trends in favor of minimal invasion. Contrarily, North America retains a leading position in the market on the strength of advanced healthcare facilities, superior adoption of AI technologies, and substantial healthcare innovation investments. The confluence of these factors keeps North America in a position of dominance while Asia-Pacific continues to grow to expand its global presence in the AI in orthopedic surgery market.
Major Companies Operating in Global AI in Orthopedic Surgery Market Include:
Several medical device companies and IT companies are establishing strategic partnerships and collaboration, which have led to the growth of the global AI in orthopedic surgery market. These collaborations enable the firms to gain information regarding the market and latest technologies, enhance diversification, and improve financial strength.
In September 2024, Stryker Corporation finalized the acquisition of care.ai, a top AI firm with expertise in ambient intelligent solutions and AI-enabled virtual care workflows. Through this acquisition, the company plans to enhance its portfolio of wirelessly connected medical devices and improve its healthcare IT capabilities.
“Global AI in Orthopedic Surgery Market Assessment, 2018-2032F”, evaluates the future growth potential of global AI in orthopedic surgery market and provides statistics and information on market size, structure, and future market growth. The report intends to provide innovative market intelligence and help decision-makers make strategic investment decisions for their organizations. Moreover, the report identifies and examines the emerging trends along with key drivers, challenges, and opportunities in the global AI in orthopedic surgery market.
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Email: info@marketsandata.com
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