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市場調查報告書
商品編碼
2018239
美國脊椎外科人工智慧市場規模、佔有率和趨勢分析報告:按功能、應用、最終用途和細分市場分類(2026-2033 年)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 |
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據估計,2025 年美國脊椎外科人工智慧市場價值為 2.4334 億美元,預計到 2033 年將達到 7.5213 億美元,2026 年至 2033 年的複合年成長率為 15.18%。
脊髓退化疾病的日益普遍、手術精確度的提高、再次手術的減少、對正確植入放置的需求,以及機器人輔助手術平台和先進導航系統的普及,都是推動市場成長的關鍵因素。
在美國,脊髓退化疾病(如脊椎狹窄、椎間滑脫、椎間盤退化和脊椎側彎)的發生率很高。人口老化和高肥胖率導致脊椎融合手術和減壓手術的需求不斷成長。根據2025年8月發表在PubMed Central期刊上的數據,美國每年進行超過90萬例脊椎手術,涵蓋從微創減壓和脊髓刺激設備植入到複雜脊椎畸形矯正和脊椎腫瘤切除等各種手術。如此龐大的手術量正在推動人工智慧技術在脊椎外科領域的應用。
此外,對提高手術精度、減少再次手術和精準植入的需求日益成長,正推動美國醫院和門診手術中心採用人工智慧機器人和導航平台。同時,美國脊椎外科醫師也率先採用者影像導引和數據驅動技術。人工智慧增強了術前規劃、術中精準度和患者選擇的預測分析能力。醫院正在利用人工智慧脊椎手術平台來減少併發症、提高螺絲植入精度並縮短手術時間。
此外,機器人輔助手術平台和先進的導航系統已在美國醫療保健系統中廣泛應用。領先的大學醫院和大規模醫療保健系統正積極投資人工智慧整合的手術技術,以提升臨床療效和組織競爭力。例如,2026年2月,卡爾·斯梅德宣佈在丹佛的科羅拉多大學醫院完成了首例使用aprevo系統進行的雙側後路腰椎椎間融合(PLIF)。人工智慧規劃和3D列印的患者特異性植入擴展了aprevo平台在整體腰椎手術入路的應用範圍。
在醫療保健系統中,利用巨量資料和預測分析來實現個人化治療方案已成為日益成長的趨勢。脊椎外科領域的人工智慧工具能夠基於患者特定的解剖和臨床數據進行術前模擬,最佳化植入選擇,並預測併發症風險。精準醫療計劃以及與電子健康記錄的整合正在提升人工智慧模型的性能。外科醫生正在利用人工智慧產生的洞察來改進手術計劃和對位策略。對數據驅動型臨床決策的日益重視正在推動人工智慧技術在脊椎外科手術工作流程中的廣泛應用。例如,2025年11月,人工智慧外科智慧公司Proprio與Harms研究小組(HSG)合作,建立了一個協作研究框架,將Proprio Paradigm平台的即時術中數據與HSG的全球脊椎畸形結果註冊庫連接起來。這一整合的資料集有望實現數據收集的自動化,提高註冊庫的質量,並推動多中心、人工智慧主導的研究,從而最佳化兒童脊椎手術。
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: