U.S. AI In Spine Surgery Market Size, Share & Trends Analysis Report By Functionality (Pre-op Planning & Personalization, Diagnostic Decision Support), By Application (Spinal Fusion, Microdiscectomy), By End Use, And Segment Forecasts, 2026 - 2033
The U.S. AI in spine surgery market size was estimated at USD 243.34 million in 2025 and is projected to reach USD 752.13 million by 2033, growing at a CAGR of 15.18% from 2026 to 2033. The increasing prevalence of degenerative spine conditions, the need for greater surgical precision, fewer revision surgeries, better implant positioning, and the widespread adoption of robotic-assisted surgical platforms and advanced navigation systems are significant factors contributing to market growth.
The U.S. has a high prevalence of degenerative spine conditions, such as spinal stenosis, spondylolisthesis, disc degeneration, and scoliosis. An aging population and high obesity rates have increased the need for spinal fusion and decompression procedures. Each year, the country performs over 900,000 spine surgeries, ranging from minimally invasive decompression and spinal cord stimulator placements to complex spinal deformity corrections and spinal cord tumor resections, according to data published in the PubMed Central Journal in August 2025. This large procedural volume supports the integration of AI technologies in spine surgery.
Moreover, the need for greater surgical precision, fewer revision surgeries, and better implant positioning is driving the adoption of AI-enabled robotic and navigation platforms in U.S. hospitals and ambulatory surgery centers. In addition, spine surgeons in the U.S. are early adopters of image-guided and data-driven technologies. AI enhances preoperative planning, intraoperative accuracy, and predictive analytics for patient selection. Hospitals leverage AI-enabled spine platforms to reduce complications, improve screw placement accuracy, and shorten operative times.
Moreover, the U.S. healthcare system has widespread adoption of robotic-assisted surgical platforms and advanced navigation systems. Major academic medical centers and large health systems actively invest in AI-integrated surgical technologies to enhance clinical outcomes and institutional competitiveness. For instance, in February 2026, Carlsmed announced the first aprevo Bilateral Posterior Lumbar Interbody Fusion (PLIF) procedure performed at the University of Colorado Hospital in Denver. The AI-planned, 3D-printed patient-specific implants expand the aprevo platform's versatility across lumbar approaches.
Healthcare systems are increasingly leveraging big data and predictive analytics to personalize treatment pathways. AI tools in spine surgery enable preoperative simulation, implant selection optimization, and prediction of complication risk based on patient-specific anatomical and clinical data. Precision medicine initiatives and integration with electronic health records enhance AI model performance. Surgeons use AI-generated insights to improve procedural planning and alignment strategies. The growing emphasis on data-driven clinical decision-making supports widespread integration of AI technologies into spine surgery workflows. For instance, in November 2025, Proprio, an AI-powered surgical intelligence company, partnered with the Harms Study Group to create a research collaborative linking real-time intraoperative data from Proprio’s Paradigm platform with HSG’s global spine deformity outcomes registry. The integrated dataset is likely to automate data capture, enhance registry quality, and support multicenter AI-driven studies to optimize pediatric spine surgery.
U.S. AI in Spine Surgery Market Report Segmentation
This report forecasts revenue growth at the country level and provides an analysis of the latest industry trends in each of the sub-segments from 2021 to 2033. For this study, Grand View Research has segmented the U.S. AI in spine surgery market report based on functionality, application, and end use:
This report can be delivered to the clients within 3 Business Days
The U.S. has a high prevalence of degenerative spine conditions, such as spinal stenosis, spondylolisthesis, disc degeneration, and scoliosis. An aging population and high obesity rates have increased the need for spinal fusion and decompression procedures. Each year, the country performs over 900,000 spine surgeries, ranging from minimally invasive decompression and spinal cord stimulator placements to complex spinal deformity corrections and spinal cord tumor resections, according to data published in the PubMed Central Journal in August 2025. This large procedural volume supports the integration of AI technologies in spine surgery.
Moreover, the need for greater surgical precision, fewer revision surgeries, and better implant positioning is driving the adoption of AI-enabled robotic and navigation platforms in U.S. hospitals and ambulatory surgery centers. In addition, spine surgeons in the U.S. are early adopters of image-guided and data-driven technologies. AI enhances preoperative planning, intraoperative accuracy, and predictive analytics for patient selection. Hospitals leverage AI-enabled spine platforms to reduce complications, improve screw placement accuracy, and shorten operative times.
Moreover, the U.S. healthcare system has widespread adoption of robotic-assisted surgical platforms and advanced navigation systems. Major academic medical centers and large health systems actively invest in AI-integrated surgical technologies to enhance clinical outcomes and institutional competitiveness. For instance, in February 2026, Carlsmed announced the first aprevo Bilateral Posterior Lumbar Interbody Fusion (PLIF) procedure performed at the University of Colorado Hospital in Denver. The AI-planned, 3D-printed patient-specific implants expand the aprevo platform's versatility across lumbar approaches.
Healthcare systems are increasingly leveraging big data and predictive analytics to personalize treatment pathways. AI tools in spine surgery enable preoperative simulation, implant selection optimization, and prediction of complication risk based on patient-specific anatomical and clinical data. Precision medicine initiatives and integration with electronic health records enhance AI model performance. Surgeons use AI-generated insights to improve procedural planning and alignment strategies. The growing emphasis on data-driven clinical decision-making supports widespread integration of AI technologies into spine surgery workflows. For instance, in November 2025, Proprio, an AI-powered surgical intelligence company, partnered with the Harms Study Group to create a research collaborative linking real-time intraoperative data from Proprio’s Paradigm platform with HSG’s global spine deformity outcomes registry. The integrated dataset is likely to automate data capture, enhance registry quality, and support multicenter AI-driven studies to optimize pediatric spine surgery.
U.S. AI in Spine Surgery Market Report Segmentation
This report forecasts revenue growth at the country level and provides an analysis of the latest industry trends in each of the sub-segments from 2021 to 2033. For this study, Grand View Research has segmented the U.S. AI in spine surgery market report based on functionality, application, and end use:
- Functionality Outlook (Revenue, USD Million, 2021 - 2033)
- Pre-op planning & personalization (alignment/planning, patient-specific constructs)
- Intraoperation guidance / navigation / AR / digital execution
- Diagnostic decision support
- Application Outlook (Revenue, USD Million, 2021 - 2033)
- Spinal Fusion
- Microdiscectomy
- Laminectomy
- Laminotomy
- Lumbar decompression (non-fusion)
- Other
- End Use Outlook (Revenue, USD Million, 2021 - 2033)
- Hospitals
- Ambulatory Surgery Centers (ASCs)
- Orthopedic Centers
- Others
This report can be delivered to the clients within 3 Business Days
CHAPTER 1. METHODOLOGY AND SCOPE
1.1. Market Segmentation & Scope
1.2. Market Definitions
1.2.1. Functionality Segment
1.2.2. Application Segment
1.2.3. End Use
1.3. Information analysis
1.3.1. Market formulation & data visualization
1.4. Data validation & publishing
1.5. Information Procurement
1.5.1. Primary Research
1.6. Information or Data Analysis
1.7. Market Formulation & Validation
1.8. Market Model
1.9. Total Market: CAGR Calculation
1.10. Objectives
1.10.1. Objective
1.10.2. Objective
CHAPTER 2. EXECUTIVE SUMMARY
2.1. Market Outlook
2.2. Segment Snapshot
2.3. Competitive Insights Landscape
CHAPTER 3. U.S. AI IN SPINE SURGERY MARKET VARIABLES, TRENDS & SCOPE
3.1. Market Lineage Outlook
3.1.1. Parent market outlook
3.1.2. Related/ancillary market outlook.
3.2. Market Dynamics
3.2.1. Market driver analysis
3.2.2. Market restraint analysis
3.2.3. Market opportunity analysis
3.2.4. Market challenges analysis
3.3. AI in Spine Surgery Market Analysis Tools
3.3.1. Industry Analysis - Porter’s
3.3.1.1. Supplier power
3.3.1.2. Buyer power
3.3.1.3. Substitution threat
3.3.1.4. Threat of new entrant
3.3.1.5. Competitive rivalry
3.3.2. PESTEL Analysis
3.3.2.1. Political landscape
3.3.2.2. Technological landscape
3.3.2.3. Economic landscape
3.3.2.4. Environmental Landscape
3.3.2.5. Legal Landscape
3.3.2.6. Social Landscape
CHAPTER 4. U.S. AI IN SPINE SURGERY MARKET: FUNCTIONALITY ESTIMATES & TREND ANALYSIS
4.1. Segment Dashboard
4.2. U.S. AI in Spine Surgery Market Functionality Movement Analysis
4.3. U.S. AI in Spine Surgery Market Size & Trend Analysis, by Functionality, 2021 to 2033 (USD Million)
4.4. Pre-op Planning & Personalization
4.4.1. Market estimates and forecasts, 2021 to 2033 (USD Million)
4.5. Intraoperation Guidance / Navigation / AR / Digital Execution
4.5.1. Market estimates and forecasts, 2021 to 2033 (USD Million)
4.6. Diagnostic Decision Support
4.6.1. Market estimates and forecasts, 2021 to 2033 (USD Million)
CHAPTER 5. U.S. AI IN SPINE SURGERY MARKET: APPLICATION ESTIMATES & TREND ANALYSIS
5.1. Segment Dashboard
5.2. U.S. AI in Spine Surgery Market Application Movement Analysis
5.3. U.S. AI in Spine Surgery Market Size & Trend Analysis, by Application, 2021 to 2033 (USD Million)
5.4. Spinal Fusion
5.4.1. Market estimates and forecasts, 2021 to 2033 (USD Million)
5.5. Microdiscectomy
5.5.1. Market estimates and forecasts, 2021 to 2033 (USD Million)
5.6. Laminectomy
5.6.1. Market estimates and forecasts, 2021 to 2033 (USD Million)
5.7. Laminotomy
5.7.1. Market estimates and forecasts, 2021 to 2033 (USD Million)
5.8. Lumbar decompression (non-fusion)
5.8.1. Market estimates and forecasts, 2021 to 2033 (USD Million)
5.9. Other
5.9.1. Market estimates and forecasts, 2021 to 2033 (USD Million)
CHAPTER 6. AI IN SPINE SURGERY MARKET: END USE ESTIMATES & TREND ANALYSIS
6.1. Segment Dashboard
6.2. U.S. AI in Spine Surgery Market End Use Movement Analysis
6.3. U.S. AI in Spine Surgery Market Size & Trend Analysis, by End Use, 2021 to 2033 (USD Million)
6.4. Hospitals
6.4.1. Market estimates and forecasts, 2021 to 2033 (USD Million)
6.5. Ambulatory Surgery Centers (ASCs)
6.5.1. Market estimates and forecasts, 2021 to 2033 (USD Million)
6.6. Orthopedic Centers
6.6.1. Market estimates and forecasts, 2021 to 2033 (USD Million)
6.7. Others
6.7.1. Market estimates and forecasts, 2021 to 2033 (USD Million)
CHAPTER 7. COMPETITIVE LANDSCAPE
7.1. Company/Competition Categorization
7.2. Strategy Mapping
7.3. Company Market Position Analysis, 2025
7.4. Company Profiles/Listing
7.4.1. Globus Medical
7.4.1.1. Company overview
7.4.1.2. Financial performance
7.4.1.3. Product benchmarking
7.4.1.4. Strategic initiatives
7.4.2. Medtronic
7.4.2.1. Company overview
7.4.2.2. Financial performance
7.4.2.3. Product benchmarking
7.4.2.4. Strategic initiatives
7.4.3. Orthofix (7D Surgical tech)
7.4.3.1. Company overview
7.4.3.2. Financial performance
7.4.3.3. Product benchmarking
7.4.3.4. Strategic initiatives
7.4.4. Augmedics
7.4.4.1. Company overview
7.4.4.2. Financial performance
7.4.4.3. Product benchmarking
7.4.4.4. Strategic initiatives
7.4.5. DePuy Synthes (Johnson & Johnson MedTech)
7.4.5.1. Company overview
7.4.5.2. Financial performance
7.4.5.3. Product benchmarking
7.4.5.4. Strategic initiatives
7.4.6. Carlsmed
7.4.6.1. Company overview
7.4.6.2. Financial performance
7.4.6.3. Product benchmarking
7.4.6.4. Strategic initiatives
7.4.7. Surgical Theater, Inc.
7.4.7.1. Company overview
7.4.7.2. Financial performance
7.4.7.3. Product benchmarking
7.4.7.4. Strategic initiatives
1.1. Market Segmentation & Scope
1.2. Market Definitions
1.2.1. Functionality Segment
1.2.2. Application Segment
1.2.3. End Use
1.3. Information analysis
1.3.1. Market formulation & data visualization
1.4. Data validation & publishing
1.5. Information Procurement
1.5.1. Primary Research
1.6. Information or Data Analysis
1.7. Market Formulation & Validation
1.8. Market Model
1.9. Total Market: CAGR Calculation
1.10. Objectives
1.10.1. Objective
1.10.2. Objective
CHAPTER 2. EXECUTIVE SUMMARY
2.1. Market Outlook
2.2. Segment Snapshot
2.3. Competitive Insights Landscape
CHAPTER 3. U.S. AI IN SPINE SURGERY MARKET VARIABLES, TRENDS & SCOPE
3.1. Market Lineage Outlook
3.1.1. Parent market outlook
3.1.2. Related/ancillary market outlook.
3.2. Market Dynamics
3.2.1. Market driver analysis
3.2.2. Market restraint analysis
3.2.3. Market opportunity analysis
3.2.4. Market challenges analysis
3.3. AI in Spine Surgery Market Analysis Tools
3.3.1. Industry Analysis - Porter’s
3.3.1.1. Supplier power
3.3.1.2. Buyer power
3.3.1.3. Substitution threat
3.3.1.4. Threat of new entrant
3.3.1.5. Competitive rivalry
3.3.2. PESTEL Analysis
3.3.2.1. Political landscape
3.3.2.2. Technological landscape
3.3.2.3. Economic landscape
3.3.2.4. Environmental Landscape
3.3.2.5. Legal Landscape
3.3.2.6. Social Landscape
CHAPTER 4. U.S. AI IN SPINE SURGERY MARKET: FUNCTIONALITY ESTIMATES & TREND ANALYSIS
4.1. Segment Dashboard
4.2. U.S. AI in Spine Surgery Market Functionality Movement Analysis
4.3. U.S. AI in Spine Surgery Market Size & Trend Analysis, by Functionality, 2021 to 2033 (USD Million)
4.4. Pre-op Planning & Personalization
4.4.1. Market estimates and forecasts, 2021 to 2033 (USD Million)
4.5. Intraoperation Guidance / Navigation / AR / Digital Execution
4.5.1. Market estimates and forecasts, 2021 to 2033 (USD Million)
4.6. Diagnostic Decision Support
4.6.1. Market estimates and forecasts, 2021 to 2033 (USD Million)
CHAPTER 5. U.S. AI IN SPINE SURGERY MARKET: APPLICATION ESTIMATES & TREND ANALYSIS
5.1. Segment Dashboard
5.2. U.S. AI in Spine Surgery Market Application Movement Analysis
5.3. U.S. AI in Spine Surgery Market Size & Trend Analysis, by Application, 2021 to 2033 (USD Million)
5.4. Spinal Fusion
5.4.1. Market estimates and forecasts, 2021 to 2033 (USD Million)
5.5. Microdiscectomy
5.5.1. Market estimates and forecasts, 2021 to 2033 (USD Million)
5.6. Laminectomy
5.6.1. Market estimates and forecasts, 2021 to 2033 (USD Million)
5.7. Laminotomy
5.7.1. Market estimates and forecasts, 2021 to 2033 (USD Million)
5.8. Lumbar decompression (non-fusion)
5.8.1. Market estimates and forecasts, 2021 to 2033 (USD Million)
5.9. Other
5.9.1. Market estimates and forecasts, 2021 to 2033 (USD Million)
CHAPTER 6. AI IN SPINE SURGERY MARKET: END USE ESTIMATES & TREND ANALYSIS
6.1. Segment Dashboard
6.2. U.S. AI in Spine Surgery Market End Use Movement Analysis
6.3. U.S. AI in Spine Surgery Market Size & Trend Analysis, by End Use, 2021 to 2033 (USD Million)
6.4. Hospitals
6.4.1. Market estimates and forecasts, 2021 to 2033 (USD Million)
6.5. Ambulatory Surgery Centers (ASCs)
6.5.1. Market estimates and forecasts, 2021 to 2033 (USD Million)
6.6. Orthopedic Centers
6.6.1. Market estimates and forecasts, 2021 to 2033 (USD Million)
6.7. Others
6.7.1. Market estimates and forecasts, 2021 to 2033 (USD Million)
CHAPTER 7. COMPETITIVE LANDSCAPE
7.1. Company/Competition Categorization
7.2. Strategy Mapping
7.3. Company Market Position Analysis, 2025
7.4. Company Profiles/Listing
7.4.1. Globus Medical
7.4.1.1. Company overview
7.4.1.2. Financial performance
7.4.1.3. Product benchmarking
7.4.1.4. Strategic initiatives
7.4.2. Medtronic
7.4.2.1. Company overview
7.4.2.2. Financial performance
7.4.2.3. Product benchmarking
7.4.2.4. Strategic initiatives
7.4.3. Orthofix (7D Surgical tech)
7.4.3.1. Company overview
7.4.3.2. Financial performance
7.4.3.3. Product benchmarking
7.4.3.4. Strategic initiatives
7.4.4. Augmedics
7.4.4.1. Company overview
7.4.4.2. Financial performance
7.4.4.3. Product benchmarking
7.4.4.4. Strategic initiatives
7.4.5. DePuy Synthes (Johnson & Johnson MedTech)
7.4.5.1. Company overview
7.4.5.2. Financial performance
7.4.5.3. Product benchmarking
7.4.5.4. Strategic initiatives
7.4.6. Carlsmed
7.4.6.1. Company overview
7.4.6.2. Financial performance
7.4.6.3. Product benchmarking
7.4.6.4. Strategic initiatives
7.4.7. Surgical Theater, Inc.
7.4.7.1. Company overview
7.4.7.2. Financial performance
7.4.7.3. Product benchmarking
7.4.7.4. Strategic initiatives
LIST OF TABLES
Table 1 List of abbreviations
Table 2 U.S. AI in spine surgery market, by application, 2021 - 2033 (USD Million)
Table 3 U.S. AI in spine surgery market, by functionality, 2021 - 2033 (USD Million)
Table 4 U.S. AI in spine surgery market, by end use, 2021 - 2033 (USD Million)
Table 1 List of abbreviations
Table 2 U.S. AI in spine surgery market, by application, 2021 - 2033 (USD Million)
Table 3 U.S. AI in spine surgery market, by functionality, 2021 - 2033 (USD Million)
Table 4 U.S. AI in spine surgery market, by end use, 2021 - 2033 (USD Million)
LIST OF FIGURES
Fig. 1 Market research process
Fig. 2 Market research process
Fig. 3 Data triangulation techniques
Fig. 4 Market formulation & validation
Fig. 5 U.S. AI in spine surgery market: Market outlook
Fig. 6 U.S. AI in spine surgery market: Segment outlook
Fig. 7 U.S. AI in spine surgery market: Competitive landscape outlook
Fig. 8 Parent market outlook
Fig. 9 U.S. AI in spine surgery market driver impact
Fig. 10 U.S. AI in spine surgery market restraint impact
Fig. 11 U.S. AI in spine surgery market: Functionality outlook and key takeaways
Fig. 12 U.S. AI in spine surgery market: Functionality movement analysis
Fig. 13 Pre-op planning & personalization market estimates and forecasts,2021 - 2033 (USD Million)
Fig. 14 Intraoperation guidance / navigation / AR / digital execution market estimates and forecasts, 2021 - 2033 (USD Million)
Fig. 15 Diagnostic decision support market estimates and forecasts, 2021 - 2033 (USD Million)
Fig. 16 AI in spine surgery market: Application outlook and key takeaways
Fig. 17 AI in spine surgery market: Application movement analysis
Fig. 18 Spinal fusion market estimates and forecasts, 2021 - 2033 (USD Million)
Fig. 19 Microdiscectomy market estimates and forecasts, 2021 - 2033 (USD Million)
Fig. 20 Laminectomy market estimates and forecasts, 2021 - 2033 (USD Million)
Fig. 21 Laminotomy market estimates and forecasts, 2021 - 2033 (USD Million)
Fig. 22 Lumbar decompression (non-fusion) market estimates and forecasts, 2021 - 2033 (USD Million)
Fig. 23 Others market estimates and forecasts, 2021 - 2033 (USD Million)
Fig. 24 AI in spine surgery market: End use outlook and key takeaways
Fig. 25 AI in spine surgery market: End use movement analysis
Fig. 26 Hospitals market estimates and forecasts, 2021 - 2033 (USD Million)
Fig. 27 Ambulatory Surgery Centers (ASCs) market estimates and forecasts, 2021 - 2033 (USD Million)
Fig. 28 Orthopedic centers market estimates and forecasts, 2021 - 2033 (USD Million)
Fig. 29 Others market estimates and forecasts, 2021 - 2033 (USD Million)
Fig. 1 Market research process
Fig. 2 Market research process
Fig. 3 Data triangulation techniques
Fig. 4 Market formulation & validation
Fig. 5 U.S. AI in spine surgery market: Market outlook
Fig. 6 U.S. AI in spine surgery market: Segment outlook
Fig. 7 U.S. AI in spine surgery market: Competitive landscape outlook
Fig. 8 Parent market outlook
Fig. 9 U.S. AI in spine surgery market driver impact
Fig. 10 U.S. AI in spine surgery market restraint impact
Fig. 11 U.S. AI in spine surgery market: Functionality outlook and key takeaways
Fig. 12 U.S. AI in spine surgery market: Functionality movement analysis
Fig. 13 Pre-op planning & personalization market estimates and forecasts,2021 - 2033 (USD Million)
Fig. 14 Intraoperation guidance / navigation / AR / digital execution market estimates and forecasts, 2021 - 2033 (USD Million)
Fig. 15 Diagnostic decision support market estimates and forecasts, 2021 - 2033 (USD Million)
Fig. 16 AI in spine surgery market: Application outlook and key takeaways
Fig. 17 AI in spine surgery market: Application movement analysis
Fig. 18 Spinal fusion market estimates and forecasts, 2021 - 2033 (USD Million)
Fig. 19 Microdiscectomy market estimates and forecasts, 2021 - 2033 (USD Million)
Fig. 20 Laminectomy market estimates and forecasts, 2021 - 2033 (USD Million)
Fig. 21 Laminotomy market estimates and forecasts, 2021 - 2033 (USD Million)
Fig. 22 Lumbar decompression (non-fusion) market estimates and forecasts, 2021 - 2033 (USD Million)
Fig. 23 Others market estimates and forecasts, 2021 - 2033 (USD Million)
Fig. 24 AI in spine surgery market: End use outlook and key takeaways
Fig. 25 AI in spine surgery market: End use movement analysis
Fig. 26 Hospitals market estimates and forecasts, 2021 - 2033 (USD Million)
Fig. 27 Ambulatory Surgery Centers (ASCs) market estimates and forecasts, 2021 - 2033 (USD Million)
Fig. 28 Orthopedic centers market estimates and forecasts, 2021 - 2033 (USD Million)
Fig. 29 Others market estimates and forecasts, 2021 - 2033 (USD Million)
