Summary

Overview
The global artificial intelligence (AI) in the operating room market reached US$ XX million in 2023 and is expected to reach US$ XX million by 2031, growing at a CAGR of XX% during the forecast period 2024-2031.
Global artificial intelligence (AI) in operating rooms is designed for the deployment of machine learning and artificial intelligence and the application of algorithms and technologies to optimize the efficiency and usage of resources in the operating room, pre-operative region, and post-anesthesia treatment unit.
The use of AI in robotic surgery is expected to have a significant impact on future surgical training and enhance the surgical experience during a procedure. Both aim to realize precision surgery and thus increase the quality of surgical care.
In addition, AI in the operating room is healthcare’s epicenter, efficient resource management, personnel, and equipment, are vital for top-tier surgical care. Recently, Artificial Intelligence (AI) and Machine Learning (ML) integration are transforming management, redefining surgical planning and optimization The journey towards AI and ML in management propels this market.
AI-based virtual assistants and chatbots are revolutionizing communication and workflow optimization in operating rooms. These intelligent systems seamlessly retrieve patient information, provide real-time data analysis, and offer decision support to surgeons during critical procedures.
While AI has started to contribute to the workflow in operating rooms in some capacity, further adoption is expected to be driven by efforts in standardizing the regulatory process for AI-based solutions in the healthcare industry, advancement in 3D visualization technologies, and the growing preference for advanced technologies to streamline the workflow in operating rooms.
Market Dynamics: Drivers
Advancement in Robotics and Medical Visualization Technologies

Robotic surgery is called "revolutionary" because of its many advantages, both actual and potential. Medical robotics have been in use for approximately 30 years. Its origin came into existence because of the weaknesses of the minimally invasive surgery (MIS) technologies that preceded it.
Noninvasive robots are helpful in imaged-guided therapy, including the CyberKnife or image-guided radiosurgery, which is the first FDA-approved platform. Microbots which are the future, are a potential advancement that does not require any incision at all.
They could be introduced into the circulation and transported to a specific destination. Compared to the earlier master-slave systems, microrobots are very different and without a physical connection to the operator, with much greater access.
The potential for contained propulsion, miniaturized functionality, the accuracy of telemanipulation, and consistent imaging. Microrobots could revolutionize surgery if these issues are addressed.
Kinepict Health has received FDA 510(k) clearance for its Kinepict Medical Imaging Tool (KMIT) software, which uses the Digital Variance Angiography (DVA). Kinepict's DVA technology aims to revolutionize the calculation of X-ray angiography images. The DVA algorithm uses advanced statistical methods to visualize blood vessels by identifying contrast-induced changes in the X-ray angiography
Robotics and artificial intelligence are the undeniable future of healthcare, with incredible potential to not only advance patient care but increase access to these benefits.
The Hugo RAS system was designed to address the historic cost and utilization barriers that have stifled robotic surgery adoption for two decades. Globally, about 3% of surgeries are performed robotically, despite offering patients the benefits of minimally invasive surgery ? fewer complications, shorter hospital stays, and faster return to normal activities. In Western Europe, about 2% of procedures are done robotically while the majority, approximately 65%, are open surgery. The remainder are traditional minimally invasive surgery.
Restraints
Factors such as the high cost associated with implementing AI technologies in operating rooms, concerns related to data privacy and security pose, the need for specialized training, and interoperability challenges with existing healthcare IT infrastructure are expected to hamper the market.
As with any new technology, AI and its subfields are susceptible to unrealistic expectations from the media hype that can lead to significant disappointment and disillusionment. An important concern regarding AI algorithms involves their interpretability, for techniques such as neural networks are based on a "black box" design.
While the automated nature of neural networks allows for the detection of patterns missed by humans, human scientists are left with little ability to assess how or why such patterns were discerned by the computer. Furthermore, despite advances in causal inference, AI cannot yet determine causal relationships in data at a level necessary for clinical implementation, nor can it provide an automated clinical interpretation of its analyses.
Setting up AI-based machines, computers, etc., entails huge costs given the complexity of engineering that goes into building one. In addition, most artificial intelligence (AI) and machine learning technology applications provide only the data to physicians, leaving the doctors to form a judgment on how to proceed.
Because AI doesn't perform any procedure or prescribe a course of medication, the software that diagnoses health problems does not have to pass a randomized clinical trial, as do devices such as insulin pumps or new medications.
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Segment Analysis
The artificial intelligence (AI) in the operating room market is segmented based on offering, application, end-user and region.
The segment software-a-a-service (SaaS) accounted for approximately 73.5% of the artificial intelligence (AI) in operating Rroom market share
The software-a-a-service (SaaS) segment is expected to hold the largest market share over the forecast period. SaaS applications are sometimes called Web-based software, on-demand software, or hosted software. The applications run on a SaaS provider's servers. The provider manages access to the application, including security, availability, and performance.
AI has been incredibly impactful in enhancing the natural language processing abilities of SaaS software, allowing apps to adapt to user behaviors and habits rapidly and without the need for extensive reworking at the back end by developers.
This application differs from the traditional model because the software (application) is already installed and configured. One can provide the server, for instance, in the cloud, and in a couple of hours, one can have the application ready for use. This reduces the time spent on installation and configuration and can reduce the issues that get in the way of the software deployment.
For instance, in July 2022, Royal Philips announced its SmartSpeed artificial intelligence (AI) powered MR acceleration software has received U.S. Food and Drug Administration (FDA) 510(k) clearance. Adding advanced AI data collection algorithms to Philips’ existing Compressed SENSE MR acceleration engine, Philips SmartSpeed delivers higher image resolution with 3 times faster scan times and virtually no loss in image quality, representing a major step forward in diagnostic confidence and MR department productivity.
Philips’ AI-based SmartSpeed reconstruction is the new benchmark among acceleration techniques for us. It improves on the company’s existing Compressed SENSE in all aspects and allows a reduction in scan times with excellent image quality and diagnostic confidence.
Moreover, increasing usage of AI-enabled technologies improves patient care and streamlining surgical operations.
For instance, in October 2023, ORtelligence, a healthcare technology business that develops and releases software to guarantee that surgical teams have the necessary knowledge, tools, and assistance for the best possible patient outcomes, released its newest innovation, Rep+TM, Rep+ is a Software-as-a-Service (SaaS), AI-powered surgical assistance software tool that aims to improve patient care and revolutionize the surgical process by supporting a medical professional’s efforts to provide training, support, and efficiency for surgical teams.
Geographical Analysis
North America accounted for approximately 43.2% of the artificial intelligence (AI) in operating room market share
North America region is expected to hold the largest market share over the forecast period.
Rising awareness levels developed healthcare infrastructure, and increasingly advanced technologies will increase the market in this region.
Healthcare is one of the most important sectors in the U.S. economy. Therefore, the U.S. Food and Drug Administration (FDA) issued the "Artificial Intelligence/Machine Learning (AI/ML)-Based Software as a Medical Device (SaMD) Action Plan" from the Center for Devices and Radiological Health's Digital Health Center of Excellence.
The area is distinguished by its cutting-edge healthcare system and the presence of top IT and healthcare firms at the forefront of artificial intelligence innovation. The quick adoption of cutting-edge technologies by North American healthcare professionals has made it easier to quickly integrate AI into surgical settings.
Significant expenditures in healthcare technology and regulations that support the creation of digital health solutions also benefit the area. These elements foster the perfect environment for the development and spread of AI technologies, making North America a major player in this area.
Also, in January 2024, the United States Brigham & Women’s Faulkner Hospital in Massachusetts revealed in that it has installed new AI technology in its operating room, which will record every step taken during surgery. Despite opposition from certain medical professionals, the purpose of this so-called OR Black Box is to discover how surgical teams may increase their efficiency and safety protocols.
COVID-19 Impact Analysis
COVID-19 had a substantial impact on artificial intelligence (AI) in the operating room market. All frontline workers, particularly those in direct contact with patients, have been exposed to major risks.
To reduce pathogen spread and protect healthcare workers and patients, medical services have been primarily restricted, including the cancellation of elective surgeries, which has caused a substantial burden, and immense economic loss for patients and hospitals.
The integration of a robot as a shielding layer helps in physically separating the healthcare worker and the patient and is a powerful tool to combat the omnipresent fear of pathogen contamination and maintain surgical volumes.
In these times the pre-, intra-, and postoperative care, in which robots and artificial intelligence can help to mitigate infectious contamination and aid patient management in the surgical environment during times of immense patient influx. In healthcare, digitization and machine intelligence are gaining significance in combating the virus. Hence, artificial intelligence (AI) in the operating room market will see growth in the forecast period.
As per NCBI publication in 2024, Although the pandemic has vastly affected the global healthcare system, it has also been a platform to promote and develop pioneering applications based on autonomic artificial intelligence (AI) technology with therapeutic significance in combating the pandemic. Artificial intelligence has successfully demonstrated that it can reduce the probability of human-to-human infectivity of the virus through evaluation, analysis, and triangulation of existing data on the infectivity and spread of the virus.
Market Segmentation
By Offering
- Software-a-a-Service (SaaS)
- Hardware
By Application
- Surgical Planning
- Diagnosis
- Training
- Outcomes and Risk Analysis
By End-User
- Hospitals
- Others
By Region
- North America
- U.S.
- Canada
- Mexico
- Europe
- Germany
- U.K.
- France
- Spain
- Italy
- Rest of Europe
- South America
- Brazil
- Argentina
- Rest of South America
- Asia-Pacific
- China
- India
- Japan
- South Korea
- Rest of Asia-Pacific
- Middle East and Africa
Competitive Landscape
The major global players in the artificial intelligence (AI) in the operating room market include Activ Surgical, Inc., Brainomix Ltd, Caresyntax, Inc., DeepOR S.A.S, ExplORer Surgical Corp., Holo Surgical Inc., LeanTaaS Inc., Medtronic Plc, Proximie, Theator Inc. Tianjin JingMing New Tech. Devp. Co., Ltd, HANSON MEDITEC CO., LTD, and Huaian Meide Medical Instrument Co., Ltd and among others among others.
Key Developments
- On April 18, 2024, Medtronic announced the introduction of 14 new AI-driven algorithms across surgical workflow, instrument, and anatomy detection to the Touch Surgery Performance Insights platform.
- On March 18, 2024, Johnson & Johnson MedTech announced it is working to accelerate and scale artificial intelligence (AI) for surgery with NVIDIA, supporting increased access to real-time analysis and global availability of AI algorithms for surgical decision-making, education, and collaboration across the connected operating room.
- On September 26, 2023, the UNC Department of Surgery, the Joint UNC-NCSU Department of Biomedical Engineering, and the UNC Lineberger Comprehensive Cancer Centre established a new clinical and research partnership. By using this collaboration, they want to develop an AI-assisted management system for Cancer. By using this collaboration, they want to develop an AI model that can manage cancer treatment.
- On September 25, 2023, US Medical Innovations (USMI) and the Jerome Canady Research Institute for Advanced and Biological Technological Sciences (JCRI-ABTS) announced the launch of the new Canady Robotic AI Surgical System. The new system offers AI-powered software programmers and 3D navigational guided surgical planning.
- On September 14, 2023, Baptist Health South Florida and Fujitsu announced the introduction of the Surgical Capacity Optimization tool, which will revolutionize operating room scheduling and improve utilization rates as well as the financial stability of the surgical specialty.
- On October 19, 2022, Medtronic plc announced that its HugoTM robotic-assisted surgery (RAS) system received three key global market-entry and indication expansion approvals.
- On April 9, 2021, Activ Surgical, a digital surgery pioneer, announced the U.S. Food and Drug Administration (FDA) 510(k) clearance of the company's ActivSight Intraoperative Imaging Module for enhanced surgical visualization.
Why Purchase the Report?
- To visualize the artificial intelligence (AI) in operating room market segmentation based on offering, application, end-user and region as well as understand key commercial assets and players.
- Identify commercial opportunities by analyzing trends and co-development
- Excel data sheet with numerous data points of artificial intelligence (AI) in the operating room market level with all segments.
- PDF report consists of a comprehensive analysis after exhaustive qualitative interviews and an in-depth study.
- Product mapping is available in excel consisting of key products of all the major players.
The artificial intelligence (AI) in operating room market report would provide approximately 62 tables, 51 figures, and 182 Pages.
Target Audience 2024
- Manufacturers/ Buyers
- Industry Investors/Investment Bankers
- Research Professionals
- Emerging Companies

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Table of Contents

1. Methodology and Scope
1.1. Research Methodology
1.2. Research Objective and Scope of the Report
2. Definition and Overview
3. Executive Summary
3.1. Snippet by Offering
3.2. Snippet by Application
3.3. Snippet by End-user
3.4. Snippet by Region
4. Dynamics
4.1. Impacting Factors
4.1.1. Drivers
4.1.1.1. Advancement in Robotics and Medical Visualization Technologies
4.1.1.2. The Benefits of Artificial Intelligence-Enabled Surgeries Over Conventional Surgeries
4.1.2. Restraints
4.1.2.1. Limitation of AI in Operating Rooms
4.1.3. Opportunity
4.1.4. Impact Analysis
5. Industry Analysis
5.1. Porter's Five Force Analysis
5.2. Supply Chain Analysis
5.3. Pricing Analysis
5.4. Regulatory Analysis
5.5. Unmet Needs
5.6. PESTEL Analysis
5.7. Patent Analysis
5.8. SWOT Analysis
6. COVID-19 Analysis
6.1. Analysis of COVID-19
6.1.1. Scenario Before COVID
6.1.2. Scenario During COVID
6.1.3. Scenario Post COVID
6.2. Pricing Dynamics Amid COVID-19
6.3. Demand-Supply Spectrum
6.4. Government Initiatives Related to the Market During the Pandemic
6.5. Manufacturers Strategic Initiatives
6.6. Conclusion
7. By Offering
7.1. Introduction
7.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Offering
7.1.2. Market Attractiveness Index, By Offering
7.2. Software-a-a-Service (SaaS)*
7.2.1. Introduction
7.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
7.3. Hardware
8. By Application
8.1. Introduction
8.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
8.1.2. Market Attractiveness Index, By Application
8.2. Surgical Planning *
8.2.1. Introduction
8.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
8.3. Diagnosis
8.4. Training
8.5. Outcomes and Risk Analysis
9. By End-User
9.1. Introduction
9.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
9.1.2. Market Attractiveness Index, By End-User
9.2. Hospitals*
9.2.1. Introduction
9.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
9.3. Others
9.3.1. Market Size Analysis and Y-o-Y Growth Analysis (%)
10. By Region
10.1. Introduction
10.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Region
10.1.2. Market Attractiveness Index, By Region
10.2. North America
10.2.1. Introduction
10.2.2. Key Region-Specific Dynamics
10.2.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Offering
10.2.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
10.2.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
10.2.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
10.2.6.1. U.S.
10.2.6.2. Canada
10.2.6.3. Mexico
10.3. Europe
10.3.1. Introduction
10.3.2. Key Region-Specific Dynamics
10.3.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Offering
10.3.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
10.3.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
10.3.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
10.3.6.1. Germany
10.3.6.2. UK
10.3.6.3. France
10.3.6.4. Italy
10.3.6.5. Spain
10.3.6.6. Rest of Europe
10.4. South America
10.4.1. Introduction
10.4.2. Key Region-Specific Dynamics
10.4.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Offering
10.4.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
10.4.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
10.4.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
10.4.6.1. Brazil
10.4.6.2. Argentina
10.4.6.3. Rest of South America
10.5. Asia-Pacific
10.5.1. Introduction
10.5.2. Key Region-Specific Dynamics
10.5.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Offering
10.5.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
10.5.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
10.5.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Distribution Channel
10.5.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
10.5.7.1. China
10.5.7.2. India
10.5.7.3. Japan
10.5.7.4. South Korea
10.5.7.5. Rest of Asia-Pacific
10.6. Middle East and Africa
10.6.1. Introduction
10.6.2. Key Region-Specific Dynamics
10.6.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Offering
10.6.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
10.6.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
11. Competitive Landscape
11.1. Competitive Scenario
11.2. Market Positioning/Share Analysis
11.3. Mergers and Acquisitions Analysis
12. Company Profiles
12.1. Activ Surgical, Inc.*
12.1.1. Company Overview
12.1.2. Product Portfolio and Description
12.1.3. Financial Overview
12.1.4. Key Developments
12.2. Brainomix Ltd
12.3. Caresyntax, Inc.
12.4. Medtronic Plc
12.5. DeepOR S.A.S
12.6. ExplORer Surgical Corp.
12.7. Holo Surgical Inc.
12.8. Tianjin JingMing New Tech. Devp. Co., Ltd
12.9. HANSON MEDITEC CO., LTD
12.10. Huaian Meide Medical Instrument Co., Ltd
LIST NOT EXHAUSTIVE
13. Appendix
13.1. About Us and Services
13.2. Contact Us