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市场调查报告书
商品编码
1798042
全球先进机器人市场:2032 年预测 - 按产品、组件、技术、应用、最终用户和地区进行分析Advanced Robotics Market Forecasts to 2032 - Global Analysis By Product, Component, Technology, Application, End User and By Geography |
根据 Stratistics MRC 的数据,全球先进机器人市场预计在 2025 年达到 569 亿美元,到 2032 年将达到 2,015 亿美元,预测期内的复合年增长率为 19.8%。
先进机器人技术是指开发和部署能够高精度、高适应性和自主性地执行复杂任务的智慧机器。这些系统整合了人工智慧、机器学习、先进感测器和即时数据处理等最尖端科技,能够在动态环境中运作。与传统机器人不同,先进机器人能够从经验中学习,独立决策,并与人类安全地合作。它们正在透过提高生产力、安全性和营运效率,彻底改变医疗保健、製造、物流和探勘等行业。
根据多家机器人出版物引述 Zippia 的说法,目前全球约有 300 万台工业机器人在运作,预计每年新增 40 万台机器人。
越来越多地采用先进机器人来提高业务效率
企业正在积极采用先进的机器人系统,以实现重复性、精确性且体力要求高的任务的自动化,这不仅加快了生产週期,也最大限度地减少了人为失误的可能性。这种对效率的追求在製造业和物流业尤其明显。在製造业中,机器人可以显着提高产品品质和产量;在物流业中,自主机器人可以简化仓库营运和订单履行流程。向自动化转型是对全球竞争的直接回应,要求企业优化资源,保持竞争力。
与旧有系统的复杂集成
许多公司,尤其是传统製造企业,仍在使用老旧系统,这些系统并非为现代机器人所需的无缝连接和资料交换而设计。维修或彻底检修这些旧有系统以适应先进机器人的过程,在技术上可能极具挑战性,耗时且耗力,且成本高昂。这种整合摩擦往往会减缓机器人技术的普及,并让那些担心此类转型可能带来的业务中断和高成本的潜在买家望而却步。
RaaS(机器人即服务)的出现
RaaS 模式的兴起正在重塑企业存取和部署机器人技术的方式。透过提供基于订阅的解决方案,RaaS 使企业无需大量前期成本即可扩展自动化规模。这种方法支援灵活部署、远端监控和持续升级,使中小型企业和新兴企业更容易获得机器人技术。云端基础的平台和模组化架构进一步增强了对各种应用的适应性。随着对敏捷、经济高效的自动化需求的成长,RaaS 有望释放新的收益来源并加速市场渗透。
易受网路攻击
随着机器人系统透过物联网和云端网路日益互联,它们也面临越来越多的网路安全风险,这些风险会危及机器人的营运和资料完整性。针对机器人控制系统的恶意攻击可能会扰乱生产、操纵输出或洩漏敏感资讯。保护多层机器人生态系统(尤其是整合了人工智慧和机器学习的生态系统)的复杂性构成了重大挑战。如果没有强大的安全通讯协定和即时威胁侦测,组织可能会面临营运中断、财务损失和声誉受损的局面。
疫情对先进机器人市场既是颠覆者,也是催化剂。初期的供应链中断和生产停顿减缓了部署和创新週期。然而,这场危机也加速了对非接触式操作和远端监控的需求,推动了对自主系统的需求。机器人在医疗保健、物流和卫生领域发挥关键作用,为第一线工作提供支援和辅助。数位转型和向弹性基础设施的转变,使机器人成为疫情后復苏策略的关键组成部分。
预计工业机器人将成为预测期内最大的细分市场
工业机器人领域预计将在预测期内占据最大的市场占有率,这得益于其在製造业、汽车业和电子行业的广泛应用。这些机器人能够执行焊接、组装和物料输送等重复性高精度任务,显着提高生产效率和一致性。它们与人工智慧和机器视觉的融合增强了操作智能,使其成为大规模生产环境中不可或缺的一部分。在政府激励措施和工业4.0计画的支持下,已开发经济体和新兴经济体都对工业机器人的需求强劲,而工业机器人领域也因此受益。
视觉引导机器人领域预计将在预测期内实现最高复合年增长率
由于对能够高度灵活和精确地执行分类、检查和组装等复杂任务的机器人的需求日益增长,因此预计视觉引导机器人领域将在预测期内实现最高增长率。视觉引导系统利用摄影机和先进的电脑视觉演算法,使机器人能够动态地感知环境并与之交互,使其成为非结构化和不断变化的工作环境的理想选择。
预计亚太地区将在预测期内占据最大的市场占有率,这得益于其庞大的製造业基础和政府对自动化的大力支持。中国、日本和韩国等国家处于工业自动化的前沿,大力投资机器人技术,以提高生产力并解决人事费用。该地区庞大的电子和汽车製造业是先进机器人系统的主要消费者。
预计北美地区将在预测期内实现最高的复合年增长率,这得益于其对技术创新的高度重视以及蓬勃发展的「机器人即服务」生态系统。该地区强大的研发能力,加上机器人新兴企业和高科技公司的集中,正在推动下一代机器人解决方案的诞生。此外,医疗保健、物流和电子商务等领域对自动化的需求不断增长,以及人们愿意采用「机器人即服务」等灵活的经营模式,也正在推动市场成长。
According to Stratistics MRC, the Global Advanced Robotics Market is accounted for $56.9 billion in 2025 and is expected to reach $201.5 billion by 2032 growing at a CAGR of 19.8% during the forecast period. Advanced robotics are the development and deployment of intelligent machines capable of performing complex tasks with high precision, adaptability, and autonomy. These systems integrate cutting-edge technologies such as artificial intelligence, machine learning, advanced sensors, and real-time data processing to operate in dynamic environments. Unlike traditional robots, advanced robots can learn from experience, make decisions independently, and collaborate safely with humans. They are revolutionizing industries including healthcare, manufacturing, logistics, and exploration by enhancing productivity, safety, and operational efficiency
According to Zippia and referenced in multiple robotics journals, there are approximately 3 million industrial robots currently in operation worldwide, with an estimated 400,000 new units being deployed annually
Increasing adoption of advanced robotics to enhance operational efficiency
Businesses are aggressively adopting sophisticated robotic systems to automate repetitive, precise, and physically demanding tasks, which not only accelerates production cycles but also minimizes the potential for human error. This drive for efficiency is especially prominent in sectors like manufacturing, where robotics can significantly improve product quality and output, and in logistics, where autonomous robots streamline warehouse operations and order fulfillment. The shift towards greater automation is a direct response to global competition and the need for companies to optimize their resources and maintain a competitive edge.
Complex integration with legacy systems
Many businesses, particularly those in traditional manufacturing, operate with older systems that were not designed for the seamless connectivity and data exchange required by modern robotics. The process of retrofitting or overhauling these legacy systems to accommodate advanced robots can be technically challenging, time-consuming, and prohibitively expensive. This integration friction often delays the adoption of robotics and can deter potential buyers who are concerned about the operational disruptions and high costs associated with such a transformation.
Emergence of "robotics as a service" (RaaS)
The rise of RaaS models is reshaping how businesses access and deploy robotic technologies. By offering subscription-based solutions, RaaS enables organizations to scale automation without heavy upfront costs. This approach supports flexible deployment, remote monitoring, and continuous upgrades, making robotics more accessible to SMEs and startups. Cloud-based platforms and modular architectures further enhance adaptability across diverse applications. As demand for agile and cost-effective automation grows, RaaS is expected to unlock new revenue streams and accelerate market penetration.
Vulnerability to cyber-attacks
As robotics systems become increasingly connected through IoT and cloud networks, they are exposed to cybersecurity risks that can compromise operations and data integrity. Malicious attacks targeting robotic control systems can disrupt production, manipulate outputs, or leak sensitive information. The complexity of securing multi-layered robotic ecosystems especially those integrated with AI and machine learning poses a significant challenge. Without robust security protocols and real-time threat detection, organizations may face operational downtime, financial losses, and reputational damage.
The pandemic acted as both a disruptor and a catalyst for the advanced robotics market. Initial supply chain interruptions and manufacturing halts delayed deployments and slowed innovation cycles. However, the crisis also accelerated the need for contactless operations and remote monitoring, driving demand for autonomous systems. Robotics played a critical role in healthcare, logistics, and sanitation, supporting frontline efforts and enabling continuity. The shift toward digital transformation and resilient infrastructure has positioned robotics as a cornerstone of post-pandemic recovery strategies.
The industrial robotics segment is expected to be the largest during the forecast period
The industrial robotics segment is expected to account for the largest market share during the forecast period due to its widespread application in manufacturing, automotive, and electronics sectors. These robots perform repetitive and high-precision tasks such as welding, assembly, and material handling, significantly improving productivity and consistency. Their integration with AI and machine vision enhances operational intelligence, making them indispensable in high-volume production environments. The segment benefits from strong demand in both developed and emerging economies, supported by government incentives and industry 4.0 initiatives.
The vision-guided robotics segment is expected to have the highest CAGR during the forecast period
Over the forecast period, the vision-guided robotics segment is predicted to witness the highest growth rate driven by the increasing need for robots that can perform complex tasks with a high degree of flexibility and precision, such as sorting, inspection, and assembly. Vision-guided systems, which utilize cameras and advanced computer vision algorithms, allow robots to perceive and interact with their environment dynamically, making them ideal for unstructured or constantly changing work environments.
During the forecast period, the Asia Pacific region is expected to hold the largest market share attributed to its immense manufacturing base and strong governmental support for automation. Countries like China, Japan, and South Korea are at the forefront of industrial automation, with significant investments in robotics to boost productivity and address labor costs. The region's vast electronics and automotive manufacturing sectors are major consumers of advanced robotic systems.
Over the forecast period, the North America region is anticipated to exhibit the highest CAGR fueled by a strong focus on technological innovation and a burgeoning "Robotics as a Service" ecosystem. The region's robust research and development capabilities, coupled with a high concentration of robotics startups and tech companies, are driving the creation of next-generation robotic solutions. Additionally, the increasing demand for automation in sectors like healthcare, logistics, and e-commerce, combined with a willingness to adopt flexible business models like RaaS, is accelerating market growth.
Key players in the market
Some of the key players in Advanced Robotics Market include ABB Ltd, Fanuc Corporation, Yaskawa Electric Corporation, KUKA AG, Mitsubishi Electric, Doosan Robotics, Denso Corporation, Staubli Robotics, Universal Robots, Symbotic Inc., Roborock, UBTECH Robotics, THK Co., Ltd., ATS Automation, Estun Automation, PROCEPT BioRobotics, Exail Technologies, Amano Corporation, Serve Robotics and Nachi-Fujikoshi Corp.
In June 2025, Universal Robots launched the UR15 cobot at Automate calling it its fastest collaborative robot and available for order with June shipping. They announced UR Studio, an online simulation tool built on PolyScope X to simplify robot-cell customization.
In June 2025, Staubli Robotics announced expansion of its North American manufacturing footprint to begin production of IT cooling connectors in Duncan, SC. It also published 2025 product and software news (Robotics Suite 2025) and confirmed 2025 trade show presence (K/Automatica).
In April 2025, Doosan Robotics announced an AI-driven innovation strategy in 2025 detailing a shift toward intelligent robot solutions and accelerated humanoid R&D. The statement framed 2025 as a transformational year, including new product roadmaps and internal organizational initiatives.
Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.