工业软体机器人市场机会、成长要素、产业趋势分析及2026年至2035年预测

全球工业软体机器人市场预计到 2025 年将达到 20.2 亿美元，到 2035 年将达到 333 亿美元，年复合成长率为 7.1%。

这一成长主要得益于柔性驱动技术的进步和仿生材料科学的快速发展。这些技术使机器人能够以更高的适应性和精度执行复杂的工业任务。工业製造商正逐渐从刚性自动化系统转向能够安全处理易碎、不规则或波动产品的自适应机器人解决方案。主要企业透过策略整合扩展其技术能力和全球影响力，从而增强了机器人生态系统的整合度，也推动了这项转变。由人工智慧驱动和控制架构驱动的软体机器人解决方案正日益取代传统的刚性自动化系统，提供即时回应、环境感知和自适应运动控制。这些系统持续评估力、形变和运动等参数，以动态优化其行为。客製化製造的兴起、产品生命週期的缩短以及多品种、小批量生产环境的扩展，都显着推动了各工业领域对软体机器人的需求。

到2026年，软体抓取器市场将占据35.7%的份额，并创造8亿美元的市场规模。推动该市场成长的因素包括：在处理精密易损零件时，对先进运动控制、多向柔软性和智慧路径优化的需求日益增长。软体抓取器因其能够在保持高吞吐量的同时最大限度地减少表面损伤而持续受到青睐。其稳步普及反映了产业对低衝击机器人解决方案的长期依赖，尤其是在产品完整性和一致性对营运成功至关重要的环境中。

到2026年，智慧型手机和电子产品组装领域将占据35.2%的市场份额，凸显了精密操作在先进製造业中的重要性。软体机器人具有可控动态应力和对精密零件表面安全互动的固有优势。製造商越来越重视人工智慧赋能的软体机器人系统，这些系统能够适应不断变化的几何形状，提高局部效率，并在复杂的组装线上保持性能稳定，因为精度直接影响产量比率和品质。

预计2025年，北美工业软体机器人市场规模将达5亿美元，并在2035年之前维持7.3%的年均复合成长率。美国预计将占85%的市场份额，并维持7.4%的年均复合成长率。市场扩张得益于成熟的製造业基础以及为减少对长供应链的依赖而大力推进的国内生产。该地区的製造商正在增加对先进软体致动器系统和人工智慧整合控制平台的投资，以提高营运智慧、实现预测性维护并增强自主运动规划能力。

目录

第一章调查方法和范围

第二章执行摘要

第三章业界考察

• 生态系分析
  • 供应商情况
  • 利润率
  • 每个阶段的附加价值
  • 影响价值链的因素
• 产业影响因素
  • 司机
    • 青年和妇女的参与度提高
    • 劳动力短缺和回流
    • 将生成式人工智慧与大规模语言模型（LLM）结合
    • IT/OT融合
  • 产业潜在风险与挑战
    • 高整合复杂性
    • 资料隐私和网路安全
  • 机会
    • 机器人即服务（RaaS）
    • 人类通用机器人
• 成长潜力分析
• 未来市场趋势
• 科技与创新趋势
  • 当前技术趋势
  • 新兴技术
• 价格趋势
  • 按地区
  • 按机器人类型
• 监管环境
  • 标准和合规要求
  • 区域法规结构
  • 认证标准
• 波特五力分析
• PESTEL 分析

第四章 竞争情势

• 介绍
• 公司市占率分析
  • 按地区
• 企业矩阵分析
• 主要市场公司的竞争分析
• 竞争定位矩阵
• 重大进展
  • 併购
  • 伙伴关係与合作
  • 新产品发布
  • 扩张计划

第五章 按类型分類的市场估算与预测，2022-2035年

• 软握把
• 充气机器人
• 外骨骼
• 穿戴式装置
• 其他的

第六章 按组件分類的市场估算与预测，2022-2035年

• 软致动器
• 软感应器
• 控制系统
• 电源
• 其他的

第七章 按材料分類的市场估算与预测，2022-2035年

• 弹性体
• 凝胶
• 织物
• 其他的

第八章 依最终用户分類的市场估算与预测，2022-2035年

• 智慧型手机
• 药片
• 桌上型电脑
• 笔记型电脑
• 连网家庭设备
• 其他的

第九章 2022-2035年各地区市场估算与预测

• 北美洲
  • 我们
  • 加拿大
• 欧洲
  • 德国
  • 英国
  • 法国
  • 义大利
  • 西班牙
• 亚太地区
  • 中国
  • 日本
  • 印度
  • 澳洲
  • 韩国
• 拉丁美洲
  • 巴西
  • 墨西哥
  • 阿根廷
• 中东和非洲
  • 南非
  • 沙乌地阿拉伯
  • 阿拉伯聯合大公国

第十章：公司简介

• Beijing Soft Robot Tech
• Festo SE &Co. KG
• Kawasaki Robotics
• OnRobot A/S
• Piab AB
• RightHand Robotics
• Rochu
• Schmalz GmbH
• Schunk GmbH
• Shadow Robot Company
• SMC Corporation
• Soft Robotics Inc.
• Ubiros
• Universal Robots

The Global Soft Robotics for Industrial Applications Market was valued at USD 2.02 billion in 2025 and is estimated to grow at a CAGR of 7.1% to reach USD 33.3 billion by 2035.

Growth is driven by advances in flexible actuation technologies and rapid progress in bio-inspired material science, which are enabling robots to perform complex industrial tasks with enhanced adaptability and precision. Industrial manufacturers are increasingly moving away from rigid automation systems toward compliant robotic solutions that can safely handle delicate, irregular, or variable products. This transition is further supported by consolidation across the robotics ecosystem, as leading companies expand their technological capabilities and global reach through strategic integration. Soft robotics solutions powered by AI-driven control architectures are replacing traditional fixed automation by offering real-time responsiveness, environmental sensing, and adaptive motion control. These systems continuously evaluate parameters such as force, deformation, and movement to optimize operations dynamically. The shift toward customized production, shorter product lifecycles, and high-mix manufacturing environments is significantly reinforcing demand for soft robotics across industrial settings.

The soft grippers segment held 35.7% share in 2026, generating USD 0.8 billion. Segment expansion is supported by growing demand for advanced motion control, multi-directional flexibility, and intelligent path optimization when handling fragile or precision components. Soft grippers continue to gain preference due to their ability to minimize surface damage while maintaining high throughput. Their steady adoption reflects long-term industrial reliance on low-impact robotic solutions, particularly in environments where product integrity and consistency are critical to operational success.

In 2026, the smartphones and electronics assembly segment captured 35.2% share, underscoring the importance of precision handling in advanced manufacturing. This segment benefits from the inherent advantages of soft robotics in delivering controlled force application and surface-safe interaction with sensitive components. Manufacturers increasingly favor AI-enabled soft robotic systems that can adapt to changing geometries, improve localized efficiency, and maintain consistent performance across complex assembly lines where precision directly impacts yield and quality.

North America Soft Robotics for Industrial Applications Market reached USD 0.5 billion in 2025 and will grow at 7.3% through 2035. The United States accounted for 85% share and is projected to grow at a rate of 7.4%. Market expansion is supported by a well-established manufacturing base and a strong push toward domestic production to reduce reliance on extended supply chains. Manufacturers in the region are increasingly investing in advanced soft-actuator systems and AI-integrated control platforms to improve operational intelligence, enable predictive maintenance, and enhance autonomous motion planning capabilities.

Key companies active in the Global Soft Robotics for Industrial Applications Market include NVIDIA Corporation, ABB Ltd, FANUC Corporation, KUKA SE & Co. KGaA, Yaskawa Electric Corporation, Omron Corporation, Kawasaki Heavy Industries Ltd., Boston Dynamics, Inc., Teradyne, Inc., Agility Robotics, Inc., Figure AI, Inc., Symbiotic Inc., Keyence Corporation, Standard Bots, and Tesla, Inc. Companies operating in the Soft Robotics for Industrial Applications Market are strengthening their competitive position through continuous innovation, portfolio expansion, and strategic collaboration. Market leaders are investing heavily in advanced materials, AI-enabled control systems, and sensor integration to improve adaptability and performance. Many firms are expanding their solution offerings to support high-mix and customized manufacturing environments while ensuring seamless integration with existing production lines.

Table of Contents

Chapter 1 Methodology and Scope

• 1.1 Market scope and definition
• 1.2 Research design
  • 1.2.1 Research approach
  • 1.2.2 Data collection methods
• 1.3 Data mining sources
  • 1.3.1 Global
  • 1.3.2 Regional/Country
• 1.4 Base estimates and calculations
  • 1.4.1 Base year calculation
  • 1.4.2 Key trends for market estimation
• 1.5 Primary research and validation
  • 1.5.1 Primary sources
• 1.6 Forecast model
• 1.7 Research assumptions and limitations

Chapter 2 Executive Summary

• 2.1 Industry 360° synopsis
• 2.2 Key market trends
  • 2.2.1 Regional
  • 2.2.2 Robot Type
  • 2.2.3 Price
• 2.3 CXO perspectives: Strategic imperatives
  • 2.3.1 Key decision points for industry executives
  • 2.3.2 Critical success factors for market players
• 2.4 Future outlook and strategic recommendations

Chapter 3 Industry Insights

• 3.1 Industry ecosystem analysis
  • 3.1.1 Supplier landscape
  • 3.1.2 Profit margin
  • 3.1.3 Value addition at each stage
  • 3.1.4 Factor affecting the value chain
• 3.2 Industry impact forces
  • 3.2.1 Growth drivers
    • 3.2.1.1 Rising Participation Among Youth & Women
    • 3.2.1.2 Labor shortages & reshoring
    • 3.2.1.3 Generative AI & LLM Integration
    • 3.2.1.4 IT/OT Convergence
  • 3.2.2 Industry pitfalls & challenges
    • 3.2.2.1 High Integration Complexity
    • 3.2.2.2 Data Privacy & Cybersecurity
  • 3.2.3 Opportunities
    • 3.2.3.1 Robot-as-a-Service (RaaS)
    • 3.2.3.2 Humanoid General-Purpose Robots
• 3.3 Growth potential analysis
• 3.4 Future market trends
• 3.5 Technology and innovation landscape
  • 3.5.1 Current technological trends
  • 3.5.2 Emerging technologies
• 3.6 Price trends
  • 3.6.1 By region
  • 3.6.2 By Robot type
• 3.7 Regulatory landscape
  • 3.7.1 Standards and compliance requirements
  • 3.7.2 Regional regulatory frameworks
  • 3.7.3 Certification standards
• 3.8 Porter's analysis
• 3.9 PESTEL analysis

Chapter 4 Competitive Landscape, 2025

• 4.1 Introduction
• 4.2 Company market share analysis
  • 4.2.1 By region
    • 4.2.1.1 North America
    • 4.2.1.2 Europe
    • 4.2.1.3 Asia Pacific
    • 4.2.1.4 Latin America
    • 4.2.1.5 Middle East and Africa
• 4.3 Company matrix analysis
• 4.4 Competitive analysis of major market players
• 4.5 Competitive positioning matrix
• 4.6 Key developments
  • 4.6.1 Mergers & acquisitions
  • 4.6.2 Partnerships & collaborations
  • 4.6.3 New product launches
  • 4.6.4 Expansion plans

Chapter 5 Market Estimates and Forecast, By Type, 2022 - 2035 (USD Billion) (Thousand Units)

• 5.1 Key trends
• 5.2 Soft Grippers
• 5.3 Inflatable Robots
• 5.4 Exoskeletons
• 5.5 Wearables
• 5.6 Others

Chapter 6 Market Estimates and Forecast, By Component, 2022 - 2035 (USD Billion) (Thousand Units)

• 6.1 Key trends
• 6.2 Soft Actuators
• 6.3 Soft sensors
• 6.4 Control systems
• 6.5 Power sources
• 6.6 Others

Chapter 7 Market Estimates and Forecast, By Material, 2022 - 2035 (USD Billion) (Thousand Units)

• 7.1 Key trends
• 7.2 Elastomers
• 7.3 Gels
• 7.4 Fabrics
• 7.5 Others

Chapter 8 Market Estimates and Forecast, By End User, 2022 - 2035 (USD Billion) (Thousand Units)

• 8.1 Key trends
• 8.2 Smartphones
• 8.3 Tablet
• 8.4 Desktop PC
• 8.5 Laptop
• 8.6 Connected home devices
• 8.7 Others

Chapter 9 Market Estimates and Forecast, By Region, 2022 - 2035 (USD Billion) (Thousand Units)

• 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 Italy
  • 9.3.5 Spain
• 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
• 9.5 Latin America
  • 9.5.1 Brazil
  • 9.5.2 Mexico
  • 9.5.3 Argentina
• 9.6 Middle East and Africa
  • 9.6.1 South Africa
  • 9.6.2 Saudi Arabia
  • 9.6.3 UAE

Chapter 10 Company Profiles

• 10.1 Beijing Soft Robot Tech
• 10.2 Festo SE & Co. KG
• 10.3 Kawasaki Robotics
• 10.4 OnRobot A/S
• 10.5 Piab AB
• 10.6 RightHand Robotics
• 10.7 Rochu
• 10.8 Schmalz GmbH
• 10.9 Schunk GmbH
• 10.10 Shadow Robot Company
• 10.11 SMC Corporation
• 10.12 Soft Robotics Inc.
• 10.13 Ubiros
• 10.14 Universal Robots