工業軟體機器人市場機會、成長要素、產業趨勢分析及2026年至2035年預測

全球工業軟體機器人市場預計到 2025 年將達到 20.2 億美元，到 2035 年將達到 333 億美元，年複合成長率為 7.1%。

這一成長主要得益於軟性驅動技術的進步和仿生材料科學的快速發展。這些技術使機器人能夠以更高的適應性和精度執行複雜的工業任務。工業製造商正逐漸從剛性自動化系統轉向能夠安全處理易碎、不規則或波動產品的自適應機器人解決方案。主要企業透過策略整合擴展其技術能力和全球影響力，從而增強了機器人生態系統的整合度，也推動了這項轉變。由人工智慧驅動和控制架構驅動的軟體機器人解決方案正日益取代傳統的剛性自動化系統，提供即時回應、環境感知和自適應運動控制。這些系統持續評估力、形變和運動等參數，以動態最佳化其行為。客製化製造的興起、產品生命週期的縮短以及多品種、小批量生產環境的擴展，都顯著推動了各工業領域對軟體機器人的需求。

到2026年，軟體抓取器市場將佔據35.7%的佔有率，並創造8億美元的市場規模。推動該市場成長的因素包括：在處理精密易損零件時，對先進運動控制、多向柔軟性和智慧路徑最佳化的需求日益成長。軟體抓取器因其能夠在保持高吞吐量的同時最大限度地減少表面損傷而持續受到青睞。其穩步普及反映了產業對低衝擊機器人解決方案的長期依賴，尤其是在產品完整性和一致性對營運成功至關重要的環境中。

到2026年，智慧型手機和電子產品組裝領域將佔據35.2%的市場佔有率，凸顯了精密操作在先進製造業中的重要性。軟體機器人具有可控動態應力和對精密零件表面安全互動的固有優勢。製造商越來越重視人工智慧賦能的軟體機器人系統，這些系統能夠適應不斷變化的幾何形狀，提高局部效率，並在複雜的組裝線上保持性能穩定，因為精度直接影響產量比率和品質。

預計2025年，北美工業軟體機器人市場規模將達5億美元，並在2035年之前維持7.3%的年均複合成長率。美國預計將佔85%的市場佔有率，並維持7.4%的年均複合成長率。市場擴張得益於成熟的製造業基礎以及為減少對長供應鏈的依賴而大力推進的國內生產。該地區的製造商正在增加對先進軟體致動器系統和人工智慧整合控制平台的投資，以提高營運智慧、實現預測性維護並增強自主運動規劃能力。

目錄

第1章調查方法和範圍

第2章執行摘要

第3章業界考察

• 生態系分析
  • 供應商情況
  • 利潤率
  • 每個階段的附加價值
  • 影響價值鏈的因素
• 產業影響因素
  • 促進要素
    • 青年和婦女的參與度提高
    • 勞動力短缺和回流
    • 將生成式人工智慧與大規模語言模型（LLM）結合
    • IT/OT融合
  • 產業潛在風險與挑戰
    • 高整合複雜性
    • 資料隱私和網路安全
  • 機會
    • 機器人即服務（RaaS）
    • 人類通用機器人
• 成長潛力分析
• 未來市場趨勢
• 科技與創新趨勢
  • 當前技術趨勢
  • 新興技術
• 價格趨勢
  • 按地區
  • 按機器人類型
• 監管環境
  • 標準和合規要求
  • 區域法規結構
  • 認證標準
• 波特五力分析
• PESTEL 分析

第4章 競爭情勢

• 介紹
• 公司市佔率分析
  • 按地區
• 企業矩陣分析
• 主要市場公司的競爭分析
• 競爭定位矩陣
• 重大進展
  • 併購
  • 夥伴關係與合作
  • 新產品發布
  • 擴張計劃

第5章 按類型分類的市場估算與預測，2022-2035年

• 軟握把
• 充氣機器人
• 外骨骼
• 穿戴式裝置
• 其他

第6章 按組件分類的市場估算與預測，2022-2035年

• 軟致動器
• 軟感應器
• 控制系統
• 電源
• 其他

第7章 按材料分類的市場估算與預測，2022-2035年

• 彈性體
• 凝膠
• 織物
• 其他

第8章 依最終用戶分類的市場估算與預測，2022-2035年

• 智慧型手機
• 藥片
• 桌上型電腦
• 筆記型電腦
• 連網家庭設備
• 其他

第9章 2022-2035年各地區市場估算與預測

• 北美洲
  • 美國
  • 加拿大
• 歐洲
  • 德國
  • 英國
  • 法國
  • 義大利
  • 西班牙
• 亞太地區
  • 中國
  • 日本
  • 印度
  • 澳洲
  • 韓國
• 拉丁美洲
  • 巴西
  • 墨西哥
  • 阿根廷
• 中東和非洲
  • 南非
  • 沙烏地阿拉伯
  • 阿拉伯聯合大公國

第10章：公司簡介

• 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