智慧机器市场－全球产业规模、份额、趋势、机会及预测（按组件、机器、技术、垂直产业、地区及竞争格局划分），2021-2031年

全球智慧机器市场预计将从 2025 年的 956.1 亿美元大幅成长至 2031 年的 2,849.2 亿美元，复合年增长率为 19.96%。

这些智慧型系统利用人工智慧和机器学习技术，无需人工干预即可自主执行复杂任务并适应动态环境。推动这一市场发展的主要因素是生产需求的根本性变化，包括提高营运效率的迫切需求、普遍存在的劳动力短缺以及对工业流程更高精度的日益增长的需求。根据国际机器人联合会（IFR）预测，到2024年，全球工业机器人的运作中数量将达到466万台，比前一年增长9%。

儘管成长势头强劲，但市场扩张仍面临诸多障碍。系统实施需要大量资本投入，且将这些系统与现有基础设施整合在技术上十分复杂。这些障碍给中小企业带来了沉重的负担，阻碍了其市场扩张。因此，企业常常需要在长期生产力提升与前期高成本以及转型所需的专业技术之间做出艰难抉择。

市场驱动因素

工业自动化和工业4.0的快速普及正在改变全球製造业格局，推动生产方式从静态生产线转向灵活自主的系统。这一转变依赖于网实整合系统的集成，使机器能够自主通讯和协作，从而减少人为干预，提高业务连续性。近期采购数据也印证了这个趋势。根据美国自动化协会（AAA）发布的《2025年第三季豪华版新闻稿》，北美企业在2025年前九个月共订购了26,441台机器人，总价值达17亿美元，这标誌着企业正朝着自动化战略转型，以保持竞争力。

同时，人工智慧 (AI) 和认知运算的进步正成为关键的差异化因素，将传统硬体转变为智慧、适应性强且功能强大的机器。与传统系统不同，人工智慧赋能的设备利用机器学习演算法即时预测机械故障并优化工作流程，从而满足了对预测性维护和决策能力的迫切需求。这一趋势正在迅速发展。罗克韦尔自动化于 2025 年 6 月发布的第十份年度智慧製造报告显示，95% 的製造商已经投资或计划在未来五年内投资人工智慧技术。西门子也累计， 2025 年工业利润将达到创纪录的 118 亿欧元。

市场挑战

全球智慧机器市场扩张的主要障碍在于部署所需的大量资本投入以及将智慧系统整合到现有基础设施中的复杂性。这些财务和技术障碍对中小企业而言尤其显着，因为它们往往缺乏必要的启动资金和专业工程资源。因此，企业通常优先考虑短期流动性而非长期生产力提升，从而延缓自动化倡议，并造成瓶颈，阻碍市场在更广泛的行业中充分发挥其潜力。

近期产业数据显示资本财采购量下降，印证了这个限制因素。根据自动化促进协会 (AAA) 统计，2024 年上半年北美机器人订单较去年同期下降 7.9%，订单金额较去年同期下降 6.8%。这是由于成本上升和经济形势谨慎，企业推迟了投资。这些统计数据表明，儘管自主技术具有许多营运优势，但财务负担正在有效地抑制市场成长，阻碍其广泛应用。

市场趋势

生成式人工智慧（AI）在自适应机器控制领域的应用正在变革市场，它使系统能够自主生成控制逻辑，并透过自然语言处理适应不断变化的输入。这项进步超越了传统的预测性维护，直接解决了整合方面的复杂性，使机器能够在无需大规模人工重新编程的情况下自我优化其程式码和工作流程。为了凸显这项进展，西门子在其2024年5月举行的「自动化2024」记者会上透露，他们已在整个製造价值链中确定了300个生成式人工智慧应用案例，其中超过70个案例已进入价值验证（PoV）阶段。

同时，协作机器人（cobot）在工业领域的普及标誌着生产方式正从静态的高速生产线转向灵活、人性化的作业模式，这种模式能够安全地处理各种任务。这些机器人采用先进的感测器阵列，无需实体围栏，从而减少了面积和资本成本，而这些成本历来是小规模工厂自动化的障碍。国际机器人联合会（IFR）发布的《2024年世界机器人报告》凸显了该领域的强劲势头，预测到2023年，全球协作机器人的装机量将达到57,040台，儘管整体工业机器人市场低迷，但协作机器人仍将保持10.5%的市场份额。

目录

第一章概述

第二章调查方法

第三章执行摘要

第四章：客户评价

第五章 全球智慧机器市场展望

• 市场规模及预测
  • 按金额
• 市占率及预测
  • 按组件（硬体、软体、服务）
  • 透过机器（机器人、自动驾驶汽车、无人机、穿戴式装置等）
  • 依技术划分（云端运算技术、巨量资料技术、万物互联、机器人技术、认知技术、情绪技术）
  • 按行业划分（製造业、运输和物流业、医疗保健业、消费品和零售业、航太和国防业、其他）
  • 按地区
  • 按公司（2025 年）
• 市场地图

第六章：北美智慧机器市场展望

• 市场规模及预测
• 市占率及预测
• 北美洲：国家分析
  • 我们
  • 加拿大
  • 墨西哥

第七章：欧洲智慧机器市场展望

• 市场规模及预测
• 市占率及预测
• 欧洲：国家分析
  • 德国
  • 法国
  • 英国
  • 义大利
  • 西班牙

第八章：亚太智慧机器市场展望

• 市场规模及预测
• 市占率及预测
• 亚太地区：国家分析
  • 中国
  • 印度
  • 日本
  • 韩国
  • 澳洲

第九章：中东与非洲智慧机器市场展望

• 市场规模及预测
• 市占率及预测
• 中东和非洲：国家分析
  • 沙乌地阿拉伯
  • 阿拉伯聯合大公国
  • 南非

第十章：南美智慧机器市场展望

• 市场规模及预测
• 市占率及预测
• 南美洲：国家分析
  • 巴西
  • 哥伦比亚
  • 阿根廷

第十一章 市场动态

• 司机
• 任务

第十二章 市场趋势与发展

• 併购
• 产品发布
• 最新进展

第十三章：全球智慧机器市场：SWOT分析

第十四章：波特五力分析

• 产业竞争
• 新进入者的可能性
• 供应商电力
• 顾客权力
• 替代品的威胁

第十五章 竞争格局

• Siemens AG
• ABB Ltd.
• General Electric Group
• Bosch Rexroth AG
• Mitsubishi Electric Group
• Rockwell Automation Inc.
• Honeywell International, Inc.
• Schneider Electric SE
• Emerson Electric Co.
• KUKA AG

第十六章 策略建议

第十七章：关于研究公司及免责声明

The Global Smart Machines Market is projected to experience substantial growth, rising from USD 95.61 Billion in 2025 to USD 284.92 Billion by 2031 at a CAGR of 19.96%. These intelligent systems leverage artificial intelligence and machine learning to execute complex tasks autonomously, adapting to dynamic environments without the need for human intervention. The market is primarily driven by fundamental shifts in production requirements, including the urgent need for operational efficiency, prevalent labor shortages, and increasing demand for high precision in industrial processes. According to the International Federation of Robotics, the global operational stock of industrial robots reached 4.66 million units in 2024, marking a 9% increase year-over-year.

Despite this strong trajectory, market expansion faces significant hurdles due to the high capital investment required for deployment and the technical complexity of integrating these systems with legacy infrastructure. These barriers are particularly discouraging for small and medium-sized enterprises, limiting the market's broader reach. Consequently, companies are often forced to weigh the benefits of long-term productivity against substantial upfront costs and the necessity of acquiring specialized technical expertise to manage the transition.

Market Driver

The accelerated adoption of Industrial Automation and Industry 4.0 is reshaping the global manufacturing landscape by shifting operations from static production lines to flexible, autonomous systems. This transformation relies on the integration of cyber-physical systems that enable machinery to communicate and coordinate independently, reducing manual intervention and enhancing operational continuity. Recent procurement data underscores this trend; the Association for Advancing Automation reported in its '3Q 2025 Deluxe Press Release' that North American companies ordered 26,441 robots valued at $1.7 billion in the first nine months of 2025, signaling a strategic pivot toward automation to maintain competitiveness.

Simultaneously, advancements in Artificial Intelligence and Cognitive Computing serve as critical differentiators that elevate traditional hardware into intelligent, adaptive smart machines. Unlike legacy systems, AI-enabled units employ machine learning algorithms to predict mechanical failures and optimize workflows in real-time, fulfilling urgent needs for predictive maintenance and decision-making capabilities. This commitment is widespread, with Rockwell Automation's '10th Annual State of Smart Manufacturing Report' from June 2025 indicating that 95% of manufacturers have invested or plan to invest in AI technologies within five years, while Siemens reported a record €11.8 billion in Profit Industrial Business in 2025.

Market Challenge

A primary obstacle to the expansion of the Global Smart Machines Market is the significant capital investment required for deployment, coupled with the complexity of integrating intelligent systems into legacy infrastructures. These financial and technical barriers are particularly prohibitive for small and medium-sized enterprises, which often lack the necessary upfront funds and specialized engineering resources. As a result, organizations frequently prioritize short-term liquidity over long-term productivity gains, delaying automation initiatives and creating a bottleneck that prevents the market from reaching its full potential across broader industrial sectors.

This constraint is supported by recent industrial data showing a downturn in capital equipment acquisition. According to the Association for Advancing Automation, North American robot orders declined by 7.9% in units and 6.8% in revenue during the first half of 2024 compared to the previous year, as companies postponed investments due to rising costs and economic caution. This statistical evidence highlights how financial burdens effectively impede market growth, stalling the widespread integration of autonomous technologies despite their operational advantages.

Market Trends

The integration of Generative AI for adaptive machine control is transforming the market by empowering systems to autonomously generate control logic and adjust to variable inputs through natural language processing. This advancement surpasses legacy predictive maintenance by enabling machines to self-optimize code and workflows without extensive manual reprogramming, directly addressing integration complexities. Highlighting this progress, Siemens revealed in a May 2024 press release regarding 'Automate 2024' that it has identified 300 generative AI use cases across the manufacturing value chain, with over 70 already moving toward proof-of-value implementation.

Concurrently, the proliferation of collaborative robots (cobots) in industrial workspaces marks a shift from static, high-speed production lines to flexible, human-centric operations capable of handling high-mix tasks safely. These units utilize advanced sensor arrays to eliminate the need for physical caging, thereby reducing the footprint and capital costs that traditionally hinder automation adoption in smaller facilities. Validating the resilience of this segment, the International Federation of Robotics reported in 'World Robotics 2024' that global installations of collaborative robots reached 57,040 units in 2023, maintaining a 10.5% market share despite a downturn in the broader industrial robotics sector.

Key Market Players

• Siemens AG
• ABB Ltd.
• General Electric Group
• Bosch Rexroth AG
• Mitsubishi Electric Group
• Rockwell Automation Inc.
• Honeywell International, Inc.
• Schneider Electric SE
• Emerson Electric Co.
• KUKA AG

Report Scope

In this report, the Global Smart Machines Market has been segmented into the following categories, in addition to the industry trends which have also been detailed below:

Smart Machines Market, By Component

• Hardware
• Software
• Services

Smart Machines Market, By Machine

• Robots
• Autonomous Cars
• Drones
• Wearable Devices
• Others

Smart Machines Market, By Technology

• Cloud Computing Technology
• Big Data Technology
• Internet of Everything
• Robotics
• Cognitive Technology
• Affective Technology

Smart Machines Market, By Verticals

• Manufacturing
• Transportation & Logistics
• Healthcare
• Consumer Goods and Retail
• Aerospace & Defense
• Others

Smart Machines Market, By Region

• North America
  • United States
  • Canada
  • Mexico
• Europe
  • France
  • United Kingdom
  • Italy
  • Germany
  • Spain
• Asia Pacific
  • China
  • India
  • Japan
  • Australia
  • South Korea
• South America
  • Brazil
  • Argentina
  • Colombia
• Middle East & Africa
  • South Africa
  • Saudi Arabia
  • UAE

Competitive Landscape

Company Profiles: Detailed analysis of the major companies present in the Global Smart Machines Market.

Available Customizations:

Global Smart Machines Market report with the given market data, TechSci Research offers customizations according to a company's specific needs. The following customization options are available for the report:

Company Information

• Detailed analysis and profiling of additional market players (up to five).

Table of Contents

1. Product Overview

• 1.1. Market Definition
• 1.2. Scope of the Market
  • 1.2.1. Markets Covered
  • 1.2.2. Years Considered for Study
  • 1.2.3. Key Market Segmentations

2. Research Methodology

• 2.1. Objective of the Study
• 2.2. Baseline Methodology
• 2.3. Key Industry Partners
• 2.4. Major Association and Secondary Sources
• 2.5. Forecasting Methodology
• 2.6. Data Triangulation & Validation
• 2.7. Assumptions and Limitations

3. Executive Summary

• 3.1. Overview of the Market
• 3.2. Overview of Key Market Segmentations
• 3.3. Overview of Key Market Players
• 3.4. Overview of Key Regions/Countries
• 3.5. Overview of Market Drivers, Challenges, Trends

4. Voice of Customer

5. Global Smart Machines Market Outlook

• 5.1. Market Size & Forecast
  • 5.1.1. By Value
• 5.2. Market Share & Forecast
  • 5.2.1. By Component (Hardware, Software, Services)
  • 5.2.2. By Machine (Robots, Autonomous Cars, Drones, Wearable Devices, Others)
  • 5.2.3. By Technology (Cloud Computing Technology, Big Data Technology, Internet of Everything, Robotics, Cognitive Technology, Affective Technology)
  • 5.2.4. By Verticals (Manufacturing, Transportation & Logistics, Healthcare, Consumer Goods and Retail, Aerospace & Defense, Others)
  • 5.2.5. By Region
  • 5.2.6. By Company (2025)
• 5.3. Market Map

6. North America Smart Machines Market Outlook

• 6.1. Market Size & Forecast
  • 6.1.1. By Value
• 6.2. Market Share & Forecast
  • 6.2.1. By Component
  • 6.2.2. By Machine
  • 6.2.3. By Technology
  • 6.2.4. By Verticals
  • 6.2.5. By Country
• 6.3. North America: Country Analysis
  • 6.3.1. United States Smart Machines Market Outlook
    • 6.3.1.1. Market Size & Forecast
      • 6.3.1.1.1. By Value
    • 6.3.1.2. Market Share & Forecast
      • 6.3.1.2.1. By Component
      • 6.3.1.2.2. By Machine
      • 6.3.1.2.3. By Technology
      • 6.3.1.2.4. By Verticals
  • 6.3.2. Canada Smart Machines Market Outlook
    • 6.3.2.1. Market Size & Forecast
      • 6.3.2.1.1. By Value
    • 6.3.2.2. Market Share & Forecast
      • 6.3.2.2.1. By Component
      • 6.3.2.2.2. By Machine
      • 6.3.2.2.3. By Technology
      • 6.3.2.2.4. By Verticals
  • 6.3.3. Mexico Smart Machines Market Outlook
    • 6.3.3.1. Market Size & Forecast
      • 6.3.3.1.1. By Value
    • 6.3.3.2. Market Share & Forecast
      • 6.3.3.2.1. By Component
      • 6.3.3.2.2. By Machine
      • 6.3.3.2.3. By Technology
      • 6.3.3.2.4. By Verticals

7. Europe Smart Machines Market Outlook

• 7.1. Market Size & Forecast
  • 7.1.1. By Value
• 7.2. Market Share & Forecast
  • 7.2.1. By Component
  • 7.2.2. By Machine
  • 7.2.3. By Technology
  • 7.2.4. By Verticals
  • 7.2.5. By Country
• 7.3. Europe: Country Analysis
  • 7.3.1. Germany Smart Machines Market Outlook
    • 7.3.1.1. Market Size & Forecast
      • 7.3.1.1.1. By Value
    • 7.3.1.2. Market Share & Forecast
      • 7.3.1.2.1. By Component
      • 7.3.1.2.2. By Machine
      • 7.3.1.2.3. By Technology
      • 7.3.1.2.4. By Verticals
  • 7.3.2. France Smart Machines Market Outlook
    • 7.3.2.1. Market Size & Forecast
      • 7.3.2.1.1. By Value
    • 7.3.2.2. Market Share & Forecast
      • 7.3.2.2.1. By Component
      • 7.3.2.2.2. By Machine
      • 7.3.2.2.3. By Technology
      • 7.3.2.2.4. By Verticals
  • 7.3.3. United Kingdom Smart Machines Market Outlook
    • 7.3.3.1. Market Size & Forecast
      • 7.3.3.1.1. By Value
    • 7.3.3.2. Market Share & Forecast
      • 7.3.3.2.1. By Component
      • 7.3.3.2.2. By Machine
      • 7.3.3.2.3. By Technology
      • 7.3.3.2.4. By Verticals
  • 7.3.4. Italy Smart Machines Market Outlook
    • 7.3.4.1. Market Size & Forecast
      • 7.3.4.1.1. By Value
    • 7.3.4.2. Market Share & Forecast
      • 7.3.4.2.1. By Component
      • 7.3.4.2.2. By Machine
      • 7.3.4.2.3. By Technology
      • 7.3.4.2.4. By Verticals
  • 7.3.5. Spain Smart Machines Market Outlook
    • 7.3.5.1. Market Size & Forecast
      • 7.3.5.1.1. By Value
    • 7.3.5.2. Market Share & Forecast
      • 7.3.5.2.1. By Component
      • 7.3.5.2.2. By Machine
      • 7.3.5.2.3. By Technology
      • 7.3.5.2.4. By Verticals

8. Asia Pacific Smart Machines Market Outlook

• 8.1. Market Size & Forecast
  • 8.1.1. By Value
• 8.2. Market Share & Forecast
  • 8.2.1. By Component
  • 8.2.2. By Machine
  • 8.2.3. By Technology
  • 8.2.4. By Verticals
  • 8.2.5. By Country
• 8.3. Asia Pacific: Country Analysis
  • 8.3.1. China Smart Machines Market Outlook
    • 8.3.1.1. Market Size & Forecast
      • 8.3.1.1.1. By Value
    • 8.3.1.2. Market Share & Forecast
      • 8.3.1.2.1. By Component
      • 8.3.1.2.2. By Machine
      • 8.3.1.2.3. By Technology
      • 8.3.1.2.4. By Verticals
  • 8.3.2. India Smart Machines Market Outlook
    • 8.3.2.1. Market Size & Forecast
      • 8.3.2.1.1. By Value
    • 8.3.2.2. Market Share & Forecast
      • 8.3.2.2.1. By Component
      • 8.3.2.2.2. By Machine
      • 8.3.2.2.3. By Technology
      • 8.3.2.2.4. By Verticals
  • 8.3.3. Japan Smart Machines Market Outlook
    • 8.3.3.1. Market Size & Forecast
      • 8.3.3.1.1. By Value
    • 8.3.3.2. Market Share & Forecast
      • 8.3.3.2.1. By Component
      • 8.3.3.2.2. By Machine
      • 8.3.3.2.3. By Technology
      • 8.3.3.2.4. By Verticals
  • 8.3.4. South Korea Smart Machines Market Outlook
    • 8.3.4.1. Market Size & Forecast
      • 8.3.4.1.1. By Value
    • 8.3.4.2. Market Share & Forecast
      • 8.3.4.2.1. By Component
      • 8.3.4.2.2. By Machine
      • 8.3.4.2.3. By Technology
      • 8.3.4.2.4. By Verticals
  • 8.3.5. Australia Smart Machines Market Outlook
    • 8.3.5.1. Market Size & Forecast
      • 8.3.5.1.1. By Value
    • 8.3.5.2. Market Share & Forecast
      • 8.3.5.2.1. By Component
      • 8.3.5.2.2. By Machine
      • 8.3.5.2.3. By Technology
      • 8.3.5.2.4. By Verticals

9. Middle East & Africa Smart Machines Market Outlook

• 9.1. Market Size & Forecast
  • 9.1.1. By Value
• 9.2. Market Share & Forecast
  • 9.2.1. By Component
  • 9.2.2. By Machine
  • 9.2.3. By Technology
  • 9.2.4. By Verticals
  • 9.2.5. By Country
• 9.3. Middle East & Africa: Country Analysis
  • 9.3.1. Saudi Arabia Smart Machines Market Outlook
    • 9.3.1.1. Market Size & Forecast
      • 9.3.1.1.1. By Value
    • 9.3.1.2. Market Share & Forecast
      • 9.3.1.2.1. By Component
      • 9.3.1.2.2. By Machine
      • 9.3.1.2.3. By Technology
      • 9.3.1.2.4. By Verticals
  • 9.3.2. UAE Smart Machines Market Outlook
    • 9.3.2.1. Market Size & Forecast
      • 9.3.2.1.1. By Value
    • 9.3.2.2. Market Share & Forecast
      • 9.3.2.2.1. By Component
      • 9.3.2.2.2. By Machine
      • 9.3.2.2.3. By Technology
      • 9.3.2.2.4. By Verticals
  • 9.3.3. South Africa Smart Machines Market Outlook
    • 9.3.3.1. Market Size & Forecast
      • 9.3.3.1.1. By Value
    • 9.3.3.2. Market Share & Forecast
      • 9.3.3.2.1. By Component
      • 9.3.3.2.2. By Machine
      • 9.3.3.2.3. By Technology
      • 9.3.3.2.4. By Verticals

10. South America Smart Machines Market Outlook

• 10.1. Market Size & Forecast
  • 10.1.1. By Value
• 10.2. Market Share & Forecast
  • 10.2.1. By Component
  • 10.2.2. By Machine
  • 10.2.3. By Technology
  • 10.2.4. By Verticals
  • 10.2.5. By Country
• 10.3. South America: Country Analysis
  • 10.3.1. Brazil Smart Machines Market Outlook
    • 10.3.1.1. Market Size & Forecast
      • 10.3.1.1.1. By Value
    • 10.3.1.2. Market Share & Forecast
      • 10.3.1.2.1. By Component
      • 10.3.1.2.2. By Machine
      • 10.3.1.2.3. By Technology
      • 10.3.1.2.4. By Verticals
  • 10.3.2. Colombia Smart Machines Market Outlook
    • 10.3.2.1. Market Size & Forecast
      • 10.3.2.1.1. By Value
    • 10.3.2.2. Market Share & Forecast
      • 10.3.2.2.1. By Component
      • 10.3.2.2.2. By Machine
      • 10.3.2.2.3. By Technology
      • 10.3.2.2.4. By Verticals
  • 10.3.3. Argentina Smart Machines Market Outlook
    • 10.3.3.1. Market Size & Forecast
      • 10.3.3.1.1. By Value
    • 10.3.3.2. Market Share & Forecast
      • 10.3.3.2.1. By Component
      • 10.3.3.2.2. By Machine
      • 10.3.3.2.3. By Technology
      • 10.3.3.2.4. By Verticals

11. Market Dynamics

• 11.1. Drivers
• 11.2. Challenges

12. Market Trends & Developments

• 12.1. Merger & Acquisition (If Any)
• 12.2. Product Launches (If Any)
• 12.3. Recent Developments

13. Global Smart Machines Market: SWOT Analysis

14. Porter's Five Forces Analysis

• 14.1. Competition in the Industry
• 14.2. Potential of New Entrants
• 14.3. Power of Suppliers
• 14.4. Power of Customers
• 14.5. Threat of Substitute Products

15. Competitive Landscape

• 15.1. Siemens AG
  • 15.1.1. Business Overview
  • 15.1.2. Products & Services
  • 15.1.3. Recent Developments
  • 15.1.4. Key Personnel
  • 15.1.5. SWOT Analysis
• 15.2. ABB Ltd.
• 15.3. General Electric Group
• 15.4. Bosch Rexroth AG
• 15.5. Mitsubishi Electric Group
• 15.6. Rockwell Automation Inc.
• 15.7. Honeywell International, Inc.
• 15.8. Schneider Electric SE
• 15.9. Emerson Electric Co.
• 15.10. KUKA AG

16. Strategic Recommendations

17. About Us & Disclaimer