Artificial Intelligence (AI) and Analytics in Surgery Market – By Component (Software, Service) Technology (Machine Learning, Deep Learning, NLP), Application (Cardiovascular, Orthopaedic, Gastroenterology, Neurosurgeries), End-use, Global Forecast (2024

Artificial Intelligence (AI) and Analytics in Surgery Market – By Component (Software, Service) Technology (Machine Learning, Deep Learning, NLP), Application (Cardiovascular, Orthopaedic, Gastroenterology, Neurosurgeries), End-use, Global Forecast (2024 – 2032)


Artificial Intelligence (AI) and Analytics in Surgery Market size will depict 26.5% CAGR between 2024 and 2032, propelled by significant investments from venture capitalists as well as healthcare organizations in AI-driven surgical technologies.

A growing number of startups are entering the market for offering innovative AI solutions for various aspects of surgery. The escalating partnerships between technology companies, healthcare providers, and research institutions for fostering the development of advanced AI solutions will favor the market growth. For instance, in March 2024, tech firm NVIDIA teamed up with Johnson & Johnson MedTech for testing new AI capabilities for its connected digital ecosystem for surgery.

The AI and analytics in surgery industry is segmented into component, technology, application, end-use, and region.

In terms of technology, the industry size from the deep learning segment will exhibit robust growth between 2024 and 2032. Deep learning helps in processing endoscopic images to detect lesions, polyps, or other abnormalities to assist in real-time decision-making during minimally invasive surgeries. These algorithms also analyze medical images like MRI and CT scans to provide detailed anatomical maps and detect abnormalities with high accuracy for aiding in precise surgical planning.

Based on application, the neurosurgery segment will accrue significant share of the artificial intelligence and analytics in surgery market by 2032. AI-driven 3D modeling provides detailed visualizations of brain structures for helping surgeons plan complex procedures with greater accuracy. To that end, hospitals and medical centers are increasingly adopting AI and analytics solutions to enhance neurosurgical capabilities and improve patient care.

Europe AI and analytics in surgery industry will witness a noteworthy CAGR through 2032, led by significant investments in AI and analytics technologies by healthcare organizations and technology firms in the region. AI-driven insights are contributing to faster recovery times by optimizing surgical techniques and postoperative care. The development of affordable AI solutions is also making advanced surgical technologies more accessible to healthcare providers across Europe.


Chapter 1 Methodology & Scope
1.1 Market scope & definitions
1.2 Research design
1.2.1 Research approach
1.2.2 Data collection methods
1.3 Base estimates & calculations
1.3.1 Base year calculation
1.3.2 Key trends for market estimation
1.4 Forecast model
1.5 Primary research and validation
1.5.1 Primary sources
1.5.2 Data mining sources
Chapter 2 Executive Summary
2.1 Industry360°synopsis
Chapter 3 Industry Insights
3.1 Industry ecosystem analysis
3.2 Industry impact forces
3.2.1 Growth drivers
3.2.1.1 Advancements in AI technology and rising Integration of AI in surgical procedures
3.2.1.2 Improved imaging and diagnostic tools
3.2.1.3 Supportive regulatory frameworks and guidelines
3.2.2 Industry pitfalls & challenges
3.2.2.1 High cost of installation
3.2.2.2 Data privacy and security concerns
3.3 Growth potential analysis
3.4 Regulatory landscape
3.5 Technology landscape
3.6 Future market trends
3.7 Porter’s analysis
3.8 PESTEL analysis
Chapter 4 Competitive Landscape, 2023
4.1 Introduction
4.2 Company matrix analysis
4.3 Competitive analysis of major market players
4.4 Competitive positioning matrix
4.5 Strategy dashboard
Chapter 5 Market Estimates and Forecast, By Component, 2021 – 2032 ($ Mn)
5.1 Key trends
5.2 Software
5.3 Service
Chapter 6 Market Estimates and Forecast, By Technology, 2021 – 2032 ($ Mn)
6.1 Key trends
6.2 Machine learning
6.3 Deep learning
6.4 Natural language processing
6.5 Other technologies
Chapter 7 Market Estimates and Forecast, By Application, 2021 – 2032 ($ Mn)
7.1 Key trends
7.2 Cardiovascular surgeries
7.3 Neurosurgery
7.4 Orthopaedic surgeries
7.5 Gastroenterology
7.6 Other applications
Chapter 8 Market Estimates and Forecast, By End-use, 2021 – 2032 ($ Mn)
8.1 Key trends
8.2 Hospitals
8.3 Surgical specialty units
8.4 Ambulatory surgical centers
Chapter 9 Market Estimates and Forecast, By Region, 2021 – 2032 ($ Mn)
9.1 Key trends
9.2 North America
9.2.1 U.S.
9.2.2 Canada
9.3 Europe
9.3.1 Germany
9.3.2 UK
9.3.3 France
9.3.4 Spain
9.3.5 Italy
9.3.6 Netherlands
9.3.7 Rest of Europe
9.4 Asia Pacific
9.4.1 China
9.4.2 Japan
9.4.3 India
9.4.4 Australia
9.4.5 South Korea
9.4.6 Rest of Asia Pacific
9.5 Latin America
9.5.1 Brazil
9.5.2 Mexico
9.5.3 Rest of Latin America
9.6 Middle East and Africa
9.6.1 South Africa
9.6.2 Saudi Arabia
9.6.3 UAE
9.6.4 Rest of Middle East and Africa
Chapter 10 Company Profiles
10.1 Activ Surgical, Inc.
10.2 Brainomix Ltd
10.3 Caresyntax, Inc.
10.4 ExplORer Surgical Corp.
10.5 Holo Surgical Inc.
10.6 LeanTaaS Inc.
10.7 Medtronic Plc
10.8 Proximie
10.9 Theator Inc.
10.10 Zimmer Biomet Holdings, Inc.

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