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市場調查報告書
商品編碼
1813447
2032 年遠距臨場系統手術訓練市場預測:按機器人類型、組件、技術、應用、最終用戶和地區進行的全球分析Telepresence Surgical Training Market Forecasts to 2032 - Global Analysis By Robot Type (Mobile Telepresence Robots and Stationary Telepresence Units), Component, Technology, Application, End User and By Geography |
根據 Stratistics MRC 的數據,全球遠距臨場系統手術培訓市場預計在 2025 年達到 7.686 億美元,到 2032 年將達到 21.076 億美元,預測期內的複合年成長率為 15.5%。
遠距臨場系統外科手術培訓是指利用先進的遠端通訊技術,例如高清視訊、擴增實境(AR) 和虛擬實境 (VR),實現身臨其境型即時外科手術教育。它使專業外科醫生能夠透過觀察手術過程、提供即時回饋和虛擬演示手術過程,跨越地域界限指導受訓人員。這種方法改善了獲得專業知識的管道,支持協作學習,並解決了傳統外科手術培訓模式的局限性,尤其是在醫療資源匱乏和偏遠地區。
根據《遠距醫療與遠距護理雜誌》報導,使用 TeleSTAR遠距臨場系統系統的基於 XR 的人工電子耳手術已成功由 150 多人(包括醫療專業人員、生物醫學工程師和醫學生)在五個遠端地點透過低延遲、高品質的串流媒體進行培訓。
機器人系統和高速、低延遲網路的快速發展
機器人平台的快速發展以及超高速、低延遲通訊網路的部署正在徹底改變外科訓練環境。這些技術實現了跨地域的學員和指導老師之間的即時互動,以最小的延遲模擬高保真手術過程。增強的連接性支援無縫資料傳輸、視訊串流傳輸和機器人器械的遠端控制。此外,5G 基礎設施與邊緣運算的整合正在加速遠距臨場系統系統在醫學教育中的應用。
缺乏觸覺回饋和技術複雜性
外科醫師嚴重依賴觸覺來評估組織阻力、壓力和器械靈敏度,而這些在虛擬環境中難以複製。此外,整合複雜的硬體和軟體系統需要專業的技術知識,這可能會阻礙其廣泛應用。機器人平台和訓練模組之間的兼容性問題進一步加劇了應用的複雜性。
與人工智慧和模擬的整合擴展了使用案例
人工智慧分析技術可以評估學員的表現、識別手術中的錯誤並提供個人化回饋,從而提升學習成果。與遠距臨場系統系統整合的模擬平台能夠實現動態場景建模,使學員能夠在受控環境中練習不常見或複雜的手術。這種整合還能促進跨學科協作,讓不同專業的專家能夠遠距聯合培訓和指導。
資料安全和隱私問題
網路安全和病患資料隱私問題已成為遠距臨場系統手術訓練市場的重大威脅。這些平台通常透過雲端基礎傳輸敏感的臨床訊息,包括即時手術回饋和患者記錄。任何違規或未授權存取都可能損害機構的完整性並違反法規合規性。此外,對第三方軟體和遠端存取工具的日益依賴也帶來了可能被惡意行為者利用的漏洞。
新冠疫情催生了遠距臨場系統技術在外科訓練的應用。在出行限制和保持社交距離的強制要求下,醫療機構轉向遠距學習平台,以確保技能發展的連續性。遠距臨場系統系統實現了無需面對面接近性的即時指導和手術演示,有助於彌補線下培訓項目中斷造成的缺口。此外,疫情凸顯了對可擴展且具彈性的訓練基礎設施的需求,並促使對虛擬模擬和機器人介面的投資增加。
移動遠端臨場機器人市場預計將成為預測期內最大的市場
移動遠端臨場機器人領域預計將在預測期內佔據最大的市場佔有率,這得益於其多功能性和對外科培訓環境的適應性。這些機器人能夠在手術室和模擬實驗室內移動,促進教員和學員之間的即時互動。它們能夠在物理空間內移動並提供即時視聽回饋,增強了遠距培訓課程的沉浸感。教育機構青睞行動平台,因為它們能夠靈活地適應各種外科專業和培訓形式。
預計技能評估和認證部分在預測期內將以最高的複合年成長率成長。
預計技能評估和認證領域將在預測期內實現最高成長率,這得益於標準化外科手術能力評估需求的不斷成長。整合人工智慧和分析工具的遠距臨場系統平台可實現客觀的績效追蹤、手術評分和自動回饋。這些功能可支援認證流程,並協助機構確保受訓人員符合嚴格的臨床標準。向基於結果的教育和全球認證框架的轉變將進一步推動該領域的成長。
在預測期內,北美預計將佔據最大的市場佔有率,這得益於其先進的醫療基礎設施和早期採用機器人手術系統。美國和加拿大領先的學術機構和醫院正在積極將遠距臨場系統平台納入其培訓課程。此外,科技公司與醫療服務提供者之間的合作正在加速下一代培訓解決方案的部署,以鞏固北美在該領域的領導地位。
預計亞太地區將在預測期內實現最高的複合年成長率,這得益於醫療保健涵蓋範圍的擴大、醫學教育投資的增加以及對熟練外科專業人員的需求的不斷成長。中國、印度和韓國等國家正在透過採用遠距臨場系統和模擬技術,迅速實現培訓基礎設施的現代化,以解決勞動力短缺問題。政府推動數位醫療和跨境教育的措施也促進了市場擴張。
According to Stratistics MRC, the Global Telepresence Surgical Training Market is accounted for $768.6 million in 2025 and is expected to reach $2,107.6 million by 2032 growing at a CAGR of 15.5% during the forecast period. Telepresence surgical training refers to the use of advanced remote communication technologies such as high-definition video, augmented reality (AR), and virtual reality (VR) to facilitate immersive, real-time surgical education. It enables expert surgeons to mentor trainees across geographic boundaries by observing procedures, providing live feedback, and demonstrating techniques virtually. This approach enhances access to specialized knowledge, supports collaborative learning, and addresses limitations in traditional surgical training models, particularly in underserved or remote regions
According to Journal of Telemedicine and Telecare, XR-based cochlear implant surgeries using the TeleSTAR telepresence system, over 150 individuals including healthcare professionals, biomedical engineers, and medical students were successfully trained across five remote locations with low latency and high-quality streaming.
Rapid development of robotic systems, high-speed and low-latency networks
The rapid evolution of robotic platforms and the deployment of ultra-fast, low-latency communication networks are significantly transforming surgical training environments. These technologies enable real-time interaction between trainees and instructors across geographies, simulating high-fidelity surgical procedures with minimal delay. Enhanced connectivity supports seamless data transmission, video streaming, and remote control of robotic instruments. Moreover, the convergence of 5G infrastructure and edge computing is accelerating the adoption of telepresence systems in medical education.
Lack of haptic feedback & technical complexities
Surgeons rely heavily on haptic cues to assess tissue resistance, pressure, and instrument sensitivity elements that are difficult to replicate in virtual environments. Additionally, the integration of complex hardware and software systems demands specialized technical expertise, which can hinder widespread adoption. Compatibility issues between robotic platforms and training modules further complicate deployment.
Integration with AI and simulation expanding use cases
AI-driven analytics can assess trainee performance, identify procedural errors, and offer personalized feedback, thereby enhancing learning outcomes. Simulation platforms integrated with telepresence systems allow for dynamic scenario modeling, enabling trainees to practice rare or complex surgeries in a controlled environment. This convergence is also facilitating cross-disciplinary collaboration, where experts from different specialties can co-train or mentor remotely.
Data security and privacy concerns
Concerns surrounding cybersecurity and patient data privacy are emerging as significant threats to the telepresence surgical training market. These platforms often transmit sensitive clinical information, including live surgical feeds and patient records, across cloud-based networks. Any breach or unauthorized access could compromise institutional integrity and violate regulatory compliance. Moreover, the increasing reliance on third-party software and remote access tools introduces vulnerabilities that can be exploited by malicious actors.
The COVID-19 pandemic acted as a catalyst for the adoption of telepresence technologies in surgical training. With travel restrictions and social distancing mandates in place, medical institutions pivoted toward remote learning platforms to ensure continuity in skill development. Telepresence systems enabled real-time mentoring and procedural demonstrations without physical proximity, helping bridge the gap created by suspended in-person training programs. Additionally, the pandemic underscored the need for scalable and resilient training infrastructures, prompting increased investment in virtual simulation and robotic interfaces.
The mobile telepresence robots segment is expected to be the largest during the forecast period
The mobile telepresence robots segment is expected to account for the largest market share during the forecast period due to their versatility and adaptability in surgical training environments. These robots facilitate real-time interaction between instructors and trainees, allowing movement within operating rooms or simulation labs. Their ability to navigate physical spaces and provide live audiovisual feedback enhances the realism of remote training sessions. Institutions favor mobile platforms for their flexibility in accommodating various surgical specialties and training formats.
The skill assessment & certification segment is expected to have the highest CAGR during the forecast period
Over the forecast period, the skill assessment & certification segment is predicted to witness the highest growth rate driven by the growing demand for standardized surgical competency evaluation. Telepresence platforms integrated with AI and analytics tools are enabling objective performance tracking, procedural scoring, and automated feedback. These capabilities support credentialing processes and help institutions ensure that trainees meet rigorous clinical standards. The shift toward outcome-based education and global accreditation frameworks is further propelling growth in this segment.
During the forecast period, the North America region is expected to hold the largest market share attributed to its advanced healthcare infrastructure and early adoption of robotic surgical systems. Leading academic institutions and hospitals in the U.S. and Canada are actively integrating telepresence platforms into their training curricula. Additionally, collaborations between tech companies and healthcare providers are accelerating the deployment of next-generation training solutions, reinforcing North America's leadership in this domain.
Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR fueled by expanding healthcare access, rising investments in medical education, and increasing demand for skilled surgical professionals. Countries like China, India, and South Korea are rapidly modernizing their training infrastructure, incorporating telepresence and simulation technologies to address workforce shortages. Government initiatives promoting digital health and cross-border education are also contributing to market expansion.
Key players in the market
Some of the key players in Telepresence Surgical Training Market include Intuitive Surgical, Inc., Medtronic plc, CMR Surgical, Surgical Science, VirtaMed AG, CAE Healthcare, 3D Systems, Stryker Corporation, Johnson & Johnson, Asensus Surgical, Inc., ImmersiveTouch, Inc., Zimmer Biomet, OSSimTech, Avra Robotics, Inc., Stereotaxis, Inc., Medrobotics Corporation, Smith & Nephew plc, PROCEPT BioRobotics, Siemens Healthineers, and Renishaw plc.
In June 2025, ImmersiveTouch, Inc. announced the acquisition of a majority stake in HealthpointCapital marking a private-equity investment in the extended-reality surgical-training platform.
In May 2025, Medtronic announced intent to separate its Diabetes business into a distinct company, describing the strategic rationale, expected financial impacts and an ~18-month timeline.
In April 2025, CMR Surgical closed a $200M+ financing round (equity + debt) to accelerate growth and expansion of its Versius robotic platform into new markets. The financing was presented as support for U.S. rollout and scale-up of manufacturing and commercial operations.
Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.