The AI-assisted surgery market covers the software, hardware and services that apply artificial intelligence to surgical planning, intraoperative guidance, robotic procedures and postoperative analysis. According to Acumen Research and Consulting, the global AI-assisted surgery market was valued at USD 3.65 billion in 2025 and is expected to reach USD 39.31 billion by 2035, growing at a CAGR of 26.8% between 2026 and 2035.
Those numbers are striking, but the more important story is what is happening inside the operating room. For two decades, surgical robots were mechanical extensions of a surgeon’s hands. They are now becoming data platforms that see, measure and learn. This analysis looks at the trends behind that shift, the companies leading it, and how the AI-assisted surgery market differs across regions.
Key Takeaways
- The AI-assisted surgery market is projected to grow from USD 4.65 billion in 2026 to USD 39.31 billion by 2035 (26.8% CAGR).
- North America held the largest share in 2025 at 45.0%.
- Asia-Pacific is the fastest-growing region, with a projected CAGR of 30.3%.
- Software accounted for 48.0% of 2025 revenue, ahead of hardware (37.0%) and services (15.0%).
- Hospitals remain the dominant buyers, with a 64.0% share of end-user demand.
What Is AI-assisted Surgery?
AI-assisted surgery is the use of machine learning, computer vision, natural language processing and, increasingly, generative AI to support surgeons before, during and after an operation. In practice, that means algorithms that build patient-specific 3D models from CT scans, recognise anatomy and instruments in a live laparoscopic video feed, warn of deviations from a surgical plan, and review recorded procedures to identify technique and workflow patterns. The surgeon stays in control. The AI adds measurement, memory and pattern recognition that no individual can maintain across thousands of cases.
AI-assisted Surgery Market Size and Forecast
| Metric | Value |
|---|---|
| Market size, 2025 (base year) | USD 3.65 billion |
| Market size, 2026 | USD 4.65 billion |
| Market size, 2035 (forecast) | USD 39.31 billion |
| CAGR, 2026 to 2035 | 26.8% |
| Largest region (2025) | North America, 45.0% |
| Fastest-growing region | Asia-Pacific, 30.3% CAGR |
Source: Acumen Research and Consulting, AI-assisted Surgery Market report, updated October 2026.
Key Trends Driving Growth in the AI-assisted Surgery Market
1. Robotic systems are turning into data platforms
Robotic surgery has built the installed base that surgical AI needs. Acumen Research and Consulting notes that roughly 3.15 million da Vinci procedures were performed worldwide in 2025, about 18% more than in 2024, and that more than 11,395 da Vinci systems were installed globally by March 2026. Every one of those procedures generates video, kinematic and workflow data. Robotic-assisted surgery accounted for 44.0% of the AI-assisted surgery market by surgical approach in 2025, and AI-assisted robotic surgery was the largest application at 27.0%. The commercial logic is simple: once a hospital owns the robot, new AI features arrive as software rather than as a new capital purchase.
2. Software is becoming the value layer
Software held a 48.0% share of the AI-assisted surgery market in 2025, the largest of any component. Within technology, machine learning and deep learning led with 42.0%, followed by computer vision at 31.0%. From a clinical perspective this matters because software is where differentiation now lies. Two robots with similar arms can deliver very different value depending on the planning tools, image registration and analytics that sit on top.
3. Computer vision is reading the surgical field
Laparoscopic and endoscopic surgery represented 31.0% of the market by approach in 2025, and these procedures produce enormous volumes of video. That is ideal training material for models that recognise anatomy, track instruments and identify the phase of an operation. The research base is growing quickly: Acumen cites a 2026 systematic review that analysed 188 studies on AI-based surgical scene understanding.
4. Cloud and hybrid deployment are gaining ground
On-premise deployment still led with 46.0% in 2025, because hospitals want direct control over patient data and low-latency links to imaging and robotic equipment. However, cloud-based and hybrid models are both projected to grow at 28.7% CAGR through 2035. Hybrid architectures, which keep sensitive data local while using the cloud for model updates and analytics, are likely to become the default for multi-site hospital groups.
5. Generative AI moves from documentation to decision support
Generative AI is expected to reach an 18.0% share of the technology segment by 2035. Its first use cases are practical: operative note drafting, clinical summarisation and knowledge retrieval. The longer-term opportunity lies in simulation, surgical training and natural-language interaction with planning software.
6. Regulators are building a clearer pathway
More than 1,600 AI-enabled medical devices had been authorised for marketing in the United States by 2026, and the US Food and Drug Administration publishes a continuously updated list of AI-enabled devices. The FDA’s 2025 draft guidance on managing AI-enabled devices across their total product lifecycle gives developers a clearer, if demanding, route to market.
Expert Perspective: Where AI Adds Real Clinical Value
From a clinical standpoint, the strongest case for AI in surgery is not autonomy. It is consistency. Surgical outcomes vary between surgeons, hospitals and even times of day. AI that standardises planning, flags anatomy at risk and gives objective feedback on technique can narrow that variation. The most credible near-term applications are therefore preoperative planning (15.0% of the market in 2025), intraoperative navigation and guidance (21.0%), and AI-assisted robotic surgery (27.0%).
Fully autonomous surgical tasks remain experimental. Hospital leaders evaluating vendors should ask three questions: what clinical evidence supports the tool, how the model is monitored after deployment, and how it explains its recommendations to the surgeon. The answers will separate durable platforms from short-lived features.
Leading Companies in the AI-assisted Surgery Market
The AI-assisted surgery market is led by established medical technology companies that combine robotics, imaging and software. Acumen Research and Consulting identifies the following key players:
| Company | Key platform | AI focus |
|---|---|---|
| Intuitive Surgical | da Vinci | Surgical data and analytics drawn from more than 20 million procedures |
| Medtronic | Hugo RAS, Touch Surgery | AI-powered video analysis and surgical performance insights |
| Johnson & Johnson MedTech | OTTAVA | Robotics with an open digital ecosystem for data-driven surgery |
| Stryker | Mako SmartRobotics | 3D planning and haptic guidance for knee, hip, spine and shoulder |
| Zimmer Biomet | ROSA Robotics | Intelligent planning and personalised orthopaedic procedures |
| Siemens Healthineers | Imaging and navigation | AI-enabled imaging linking diagnosis with intraoperative decisions |
| GE HealthCare | Imaging and visualisation | AI for image-guided and interventional procedures |
| Brainlab | Navigation, Loop-X | Planning, navigation and AI-enabled data analysis |
Deal activity confirms the direction of travel. In September 2026, Medtronic announced an investment of about USD 700 million in Cornerstone Robotics, alongside distribution rights for its Sentire surgical system in selected markets outside the US. In the same month, Proximie, AWS, Deloitte and NHS hospitals launched a year-long AI evaluation across 104 operating theatres, endoscopy suites and catheterisation laboratories at eight UK sites. Specialist firms such as Activ Surgical, Proximie and Caresyntax are building the analytics and workflow layer around these platforms.
Which Region Has the Highest Concentration of AI-assisted Surgery Providers?
North America has the highest concentration of AI-assisted surgery providers. The region held a 45.0% share of the AI-assisted surgery market in 2025, according to Acumen Research and Consulting. Most of the leading companies, including Intuitive Surgical, Stryker, Zimmer Biomet, Johnson & Johnson MedTech and GE HealthCare, are headquartered in the United States, and Medtronic runs its operational headquarters in Minneapolis. The US also has the largest installed base of surgical robots, a deep pool of academic medical centres and the most active AI medical device regulatory pathway. Canada adds strength through investment in digital health infrastructure and academic surgical research.
How Does the AI-assisted Surgery Market Compare Among Regions?
| Region | Market position | Growth drivers |
|---|---|---|
| North America | Largest, 45.0% share (2025) | Mature robotic surgery base, high technology spending, FDA pathway for AI devices |
| Asia-Pacific | 21.0% share (2025); fastest growth at 30.3% CAGR | Hospital modernisation, rising surgical volumes, AI and digital health investment |
| Europe | Established, innovation-led | Imaging and navigation leaders, national health system pilots, strict regulatory oversight |
| Latin America, Middle East and Africa | Emerging | Private hospital investment and gradual robotic adoption |
Europe, Latin America and the Middle East and Africa together account for the remaining 34% of the market. Each region’s trajectory reflects a different starting point.
North America: scale and maturity
North America’s lead rests on infrastructure rather than any single technology. Hospitals already own robots, imaging suites and data systems, so AI can be layered onto existing workflows. Growth here will come from software upgrades, analytics subscriptions and broader adoption in ambulatory surgical centres.
Asia-Pacific: the fastest-growing AI-assisted surgery market
Acumen Research and Consulting projects that the Asia-Pacific AI-assisted surgery market will increase from USD 0.98 billion in 2026 to USD 10.61 billion by 2035. China is investing heavily in domestic surgical robotics and medical AI, while Japan combines robotics expertise with the demands of an ageing population. South Korea and India are building capability as private hospital networks expand robotic programmes and digital health infrastructure. For Indian hospital groups in particular, hybrid deployment models and software-led upgrades may offer a more affordable route into AI-assisted surgery than large capital purchases.
Europe: innovation under tight governance
Europe is home to Siemens Healthineers and Brainlab, two of the most important imaging and navigation companies in the field. Adoption is shaped by public health system procurement and by strict rules under the EU Medical Device Regulation and the EU AI Act. Large NHS evaluations, such as the UK operating-theatre programme launched in 2026, show how European systems prefer to generate evidence before scaling.
Segment Snapshot: Who Buys and Where AI Is Used
Hospitals accounted for 64.0% of the AI-assisted surgery market in 2025, followed by ambulatory surgical centres (16.0%) and specialty clinics (10.0%). By surgery type, general surgery led with 23.0%, followed by orthopaedic surgery (18.0%) and neurosurgery (15.0%). Orthopaedics and neurosurgery stand out because they rely on precise anatomical localisation, where AI-enabled planning and navigation show clear value.
Challenges Facing the AI-assisted Surgery Market
- High system costs: Robots, imaging, software and training require significant investment, which slows adoption in lower-volume hospitals.
- Clinical evidence: Hospitals and regulators expect robust data showing safety and real-world benefit.
- Data quality and bias: Models trained on narrow datasets may perform poorly across different equipment, techniques and patient populations.
- Surgeon trust: Explainability and clear accountability for AI-supported decisions remain essential.
- Safety governance: The World Health Organization emphasises lifecycle monitoring and risk-benefit assessment for AI in healthcare.
Outlook: What to Watch Through 2035
Over the next decade, the AI-assisted surgery market is likely to be shaped by four developments: AI features delivered as software updates to existing robots; patient-specific planning that links imaging to implant and instrument choice; hybrid cloud models that let hospital groups share insights without moving sensitive data; and post-market surveillance frameworks that build surgeon and regulator confidence. Companies that combine clinical evidence with transparent, well-governed AI will be best placed to capture the growth ahead. For a closer look at one of the most demanding specialties, read our analysis of the AI in neurosurgery market.
Frequently Asked Questions
How big is the AI-assisted surgery market?
The global AI-assisted surgery market was valued at USD 3.65 billion in 2025 and is projected to reach USD 39.31 billion by 2035, according to Acumen Research and Consulting.
What is the growth rate of the AI-assisted surgery market?
The market is expected to grow at a CAGR of 26.8% from 2026 to 2035.
Which region leads the AI-assisted surgery market?
North America leads with a 45.0% share in 2025, while Asia-Pacific is the fastest-growing region at a projected 30.3% CAGR.
Who are the leading companies in AI-assisted surgery?
Key players include Intuitive Surgical, Medtronic, Johnson & Johnson MedTech, Stryker, Zimmer Biomet, Siemens Healthineers, GE HealthCare and Brainlab.
What are the main trends driving the AI-assisted surgery market?
The main trends are the growing robotic surgery installed base, software-led AI features, computer vision for surgical video, cloud and hybrid deployment, generative AI, and clearer regulatory pathways for AI-enabled devices.
Is AI replacing surgeons?
No. Current AI-assisted surgery tools support surgeons with planning, guidance and analysis. Autonomous surgical tasks remain experimental and require surgeon supervision.
Market figures in this article are drawn from the AI-assisted Surgery Market report by Acumen Research and Consulting (last updated 2 October 2026). This article is for information only and does not constitute medical or investment advice.

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