智慧機器市場－全球產業規模、佔有率、趨勢、機會及預測（按組件、機器、技術、垂直產業、地區及競爭格局分類），2021-2031年

全球智慧機器市場預計將從 2025 年的 956.1 億美元大幅成長至 2031 年的 2,849.2 億美元，複合年成長率為 19.96%。

這些智慧型系統利用人工智慧和機器學習技術，無需人工干預即可自主執行複雜任務並適應動態環境。推動這一市場發展的主要因素是生產需求的根本性變化，包括提高營運效率的迫切需求、普遍存在的勞動力短缺以及對工業流程更高精度的日益成長的需求。根據國際機器人聯合會（IFR）預測，到2024年，全球工業機器人的運作中數量將達到466萬台，比前一年成長9%。

儘管成長勢頭強勁，但市場擴張仍面臨諸多障礙。系統實施需要大量資本投入，且將這些系統與現有基礎設施整合在技術上十分複雜。這些障礙給中小企業帶來了沉重的負擔，阻礙了其市場擴張。因此，企業常常需要在長期生產力提升與前期高成本以及轉型所需的專業技術之間做出艱難抉擇。

市場促進因素

工業自動化和工業4.0的快速普及正在改變全球製造業格局，推動生產方式從靜態生產線轉向靈活自主的系統。這一轉變依賴於網實整合系統的整合，使機器能夠自主通訊和協作，從而減少人為干預，提高業務連續性。近期採購數據也印證了這個趨勢。根據美國自動化協會（AAA）發布的《2025年第三季豪華版新聞稿》，北美企業在2025年前九個月共訂購了26,441台機器人，總價值達17億美元，這標誌著企業正朝著自動化戰略轉型，以保持競爭力。

同時，人工智慧 (AI) 和認知運算的進步正成為關鍵的差異化因素，將傳統硬體轉變為智慧、適應性強且功能強大的機器。與傳統系統不同，人工智慧賦能的設備利用機器學習演算法即時預測機械故障並最佳化工作流程，從而滿足了對預測性維護和決策能力的迫切需求。這一趨勢正在迅速發展。羅克韋爾自動化於 2025 年 6 月發布的第十份年度智慧製造報告顯示，95% 的製造商已經投資或計劃在未來五年內投資人工智慧技術。西門子也累計， 2025 年工業利潤將達到創紀錄的 118 億歐元。

市場挑戰

全球智慧機器市場擴張的主要障礙在於部署所需的大量資本投入以及將智慧系統整合到現有基礎設施中的複雜性。這些財務和技術障礙對中小企業而言尤其顯著，因為它們往往缺乏必要的啟動資金和專業工程資源。因此，企業通常優先考慮短期流動性而非長期生產力提升，從而延緩自動化舉措，並造成瓶頸，阻礙市場在更廣泛的行業中充分發揮其潛力。

近期產業數據顯示資本財採購量下降，印證了這個限制因素。根據自動化促進協會 (AAA) 統計，2024 年上半年北美機器人訂單較去年同期下降 7.9%，訂單金額較去年同期下降 6.8%。這是由於成本上升和經濟形勢謹慎，企業推遲了投資。這些統計數據表明，儘管自主技術具有許多營運優勢，但財務負擔正在有效地抑制市場成長，阻礙其廣泛應用。

市場趨勢

生成式人工智慧（AI）在自適應機器控制領域的應用正在變革市場，它使系統能夠自主生成控制邏輯，並透過自然語言處理適應不斷變化的輸入。這項進步超越了傳統的預測性維護，直接解決了整合方面的複雜性，使機器能夠在無需大規模人工重新編程的情況下自我最佳化其程式碼和工作流程。為了凸顯這項進展，西門子在其2024年5月舉行的「自動化2024」記者會上透露，他們已在整個製造價值鏈中確定了300個生成式人工智慧應用案例，其中超過70個案例已進入價值驗證（PoV）階段。

同時，協作機器人（cobot）在工業領域的普及標誌著生產方式正從靜態的高速生產線轉向靈活、人性化的作業模式，這種模式能夠安全地處理各種任務。這些機器人採用先進的感測器陣列，無需實體圍欄，從而減少了面積和資本成本，而這些成本歷來是小規模工廠自動化的障礙。國際機器人聯合會（IFR）發布的《2024年世界機器人報告》凸顯了該領域的強勁勢頭，預測到2023年，全球協作機器人的裝機量將達到57,040台，儘管整體工業機器人市場低迷，但協作機器人仍將保持10.5%的市場佔有率。

目錄

第1章概述

第2章調查方法

第3章執行摘要

第4章：客戶評價

第5章 全球智慧機器市場展望

• 市場規模及預測
  • 按金額
• 市佔率及預測
  • 按組件（硬體、軟體、服務）
  • 透過機器（機器人、自動駕駛汽車、無人機、穿戴式裝置等）
  • 依技術分類（雲端運算技術、巨量資料技術、萬物互聯、機器人技術、認知技術、情緒技術）
  • 按行業分類（製造業、運輸和物流業、醫療保健業、消費品和零售業、航太和國防業、其他）
  • 按地區
  • 按公司（2025 年）
• 市場地圖

第6章：北美智慧機器市場展望

• 市場規模及預測
• 市佔率及預測
• 北美洲：國家分析
  • 美國
  • 加拿大
  • 墨西哥

第7章：歐洲智慧機器市場展望

• 市場規模及預測
• 市佔率及預測
• 歐洲：國家分析
  • 德國
  • 法國
  • 英國
  • 義大利
  • 西班牙

第8章：亞太智慧機器市場展望

• 市場規模及預測
• 市佔率及預測
• 亞太地區：國家分析
  • 中國
  • 印度
  • 日本
  • 韓國
  • 澳洲

第9章：中東與非洲智慧機器市場展望

• 市場規模及預測
• 市佔率及預測
• 中東和非洲：國家分析
  • 沙烏地阿拉伯
  • 阿拉伯聯合大公國
  • 南非

第10章：南美智慧機器市場展望

• 市場規模及預測
• 市佔率及預測
• 南美洲：國家分析
  • 巴西
  • 哥倫比亞
  • 阿根廷

第11章 市場動態

• 促進要素
• 任務

第12章 市場趨勢與發展

• 併購
• 產品發布
• 最新進展

第13章：全球智慧機器市場：SWOT分析

第14章：波特五力分析

• 產業競爭
• 新進入者的可能性
• 供應商電力
• 顧客權力
• 替代品的威脅

第15章 競爭格局

• 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16章 策略建議

第17章：關於研究公司及免責聲明

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