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市场调查报告书
商品编码
1696237

全球製造业云机器人市场 - 2025 年至 2032 年

Global Cloud Robotics for Manufacturing Market - 2025-2032
出版日期: | 出版商: DataM Intelligence | 英文 180 Pages | 商品交期: 最快1-2个工作天内

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简介目录

2024 年全球製造业云端机器人市场规模达 51.2 亿美元，预计到 2032 年将达到 296.3 亿美元，2025-2032 年预测期间的复合年增长率为 24.54%。

协作机器人在製造业的应用日益广泛，这是全球製造业云端机器人发展的重要驱动力。协作机器人与标准工业机器人不同，其目的是在工业环境中与人类工人一起操作，以提高效率、精确度和安全性。透过云端连接，这些机器人可以接收即时资料、对动态生产需求做出反应并使用人工智慧驱动的决策优化工作流程。

协作机器人生产领域的领导者 Universal Robots 已将基于云端的分析功能整合到其机械手臂中，使企业能够远端监控机器人性能并规划预测性维护。这减少了停机时间并提高了生产过程的效率。随着企业优先考虑自动化以缓解劳动力短缺并提高营运效率，对云端连接协作机器人的需求预计将激增，从而推动製造业云端机器人市场的成长。

动态的

智慧製造和工业 4.0 的采用日益增多

智慧製造和工业 4.0 项目的日益普及是全球製造业云端机器人市场发展的主要驱动力。随着製造商追求更高的效率、灵活性和可扩展性，基于云端的机器人技术对于实现生产线的即时监控、预测性维护和无缝自动化至关重要。人工智慧、物联网和巨量资料分析与云端机器人的结合，使产业能够提高生产力，同时降低营运费用。

例如，西门子和 NVIDIA 合作开发了工业数位孪生技术，该技术利用云端机器人即时复製生产流程。这使得製造商能够在实际实施之前优化操作，减少停机时间并提高生产效率。随着全球各国政府透过资金和激励措施推动数位转型，例如德国的工业 4.0 政策和中国的中国製造 2025 计划，云端机器人在製造业的应用预计将加速，从而带来巨大的市场发展。

初期投资高，整合挑战大

製造业采用全球云端机器人的主要障碍之一是采用基于云端的机器人系统需要较高的初始投资和整合复杂性。製造商，尤其是中小型企业 (SME)，在从传统自动化转向云端整合机器人解决方案时经常会遇到重大的财务和技术挑战。

先进的机器人技术、云端基础设施、网路安全措施和资料管理系统可能价格过高，对于注重预算的企业来说难以采用。此外，将云端机器人与传统生产系统结合存在技术障碍，需要专业技能和对现有工作流程进行大量重新配置。

目录

第 1 章：方法与范围

第 2 章：定义与概述

第 3 章：执行摘要

第 4 章：动态

  • 影响因素
    • 驱动程式
      • 智慧製造和工业 4.0 的采用日益增多
    • 限制
      • 初期投资高，整合挑战大
    • 机会
    • 影响分析

第五章：产业分析

  • 波特五力分析
  • 供应链分析
  • 价值链分析
  • 定价分析
  • 监理与合规性分析
  • 人工智慧与自动化影响分析
  • 研发与创新分析
  • 永续发展与绿色企业规模分析
  • 网路安全分析
  • 下一代企业规模分析
  • 企业规模路线图
  • DMI 意见

第 6 章：奉献

  • 解决方案
  • 服务

第 7 章：按机器人类型

  • 工业机器人
  • 服务机器人

第 8 章：按企业规模

  • 大型企业
  • 中小企业

第九章：按应用

  • 物料搬运、仓库和库存管理
  • 装配和生产线自动化
  • 品质检验与测试
  • 仓库和库存管理
  • 其他的

第 10 章：按地区

  • 北美洲
    • 我们
    • 加拿大
    • 墨西哥
  • 欧洲
    • 德国
    • 英国
    • 法国
    • 义大利
    • 西班牙
    • 欧洲其他地区
  • 南美洲
    • 巴西
    • 阿根廷
    • 南美洲其他地区
  • 亚太
    • 中国
    • 印度
    • 日本
    • 澳洲
    • 亚太其他地区
  • 中东和非洲

第 11 章：竞争格局

  • 竞争格局
  • 市场定位/份额分析
  • 併购分析

第 12 章：公司简介

  • CloudMinds
    • 公司概况
    • 产品组合和描述
    • 财务概览
    • 关键进展
  • Rapyuta Robotics Co. Ltd.
  • Microsoft Corporation
  • Rockwell Automation Inc.
  • ABB
  • Calvary Robotics
  • Kuka AG
  • Amazon Robotics
  • IBM Corporation
  • Ortelio Ltd.

第 13 章：附录

简介目录
Product Code: ICT9394

Global cloud robotics for manufacturing market reached US$ 5.12 billion in 2024 and is expected to reach US$ 29.63 billion by 2032, growing with a CAGR of 24.54% during the forecast period 2025-2032.

The growing use of collaborative robots in manufacturing is a significant driver of the global cloud robotics for manufacturing industry. Collaborative robots, unlike standard industrial robots, are intended to operate alongside human workers in industry settings, increasing efficiency, precision and safety. With cloud connectivity, these robots can receive real-time data, react to dynamic production needs and optimize workflows using AI-driven decision-making.

Universal Robots, a leader in collaborative robot production, has integrated cloud-based analytics into its robotic arms, allowing businesses to remotely monitor robot performance and plan predictive maintenance. This reduces downtime and increases efficiency in production processes. As businesses prioritize automation to alleviate labor shortages and enhance operational efficiency, the need for cloud-connected collaborative robot is predicted to surge, fueling the growth of the cloud robotics for manufacturing market.

Dynamic

Rising Adoption of Smart Manufacturing and Industry 4.0

The rising adoption of smart manufacturing and Industry 4.0 projects is a key driver of the global cloud robotics for manufacturing market. As manufacturers aspire for more efficiency, flexibility and scalability, cloud-based robotics is critical to allowing real-time monitoring, predictive maintenance and seamless automation across production lines. The integration of AI, IoT and big data analytics with cloud robots allows industries to increase productivity while lowering operational expenses.

Siemens and NVIDIA, for example, worked together to develop industrial digital twin technology, which uses cloud robotics to replicate production processes in real time. This allows manufacturers to optimize operations before physical implementation, reducing downtime and increasing production efficiency. With governments globally promoting digital transformation through funding and incentives, such as Germany's Industry 4.0 policy and China's Made in China 2025 initiative, adoption of cloud robotics in manufacturing is projected to accelerate, creating significant market development.

High Initial Investment and Integration Challenges

One of the major barriers to the global cloud robotics for the manufacturing industry is the high initial investment and integration complexity associated with adopting cloud-based robotic systems. Manufacturers, particularly small and medium-sized organizations (SMEs), frequently encounter major financial and technological challenges when switching from traditional automation to cloud-integrated robotic solutions.

Advanced robotic technology, cloud infrastructure, cybersecurity measures and data management systems can be prohibitively expensive, making adoption difficult for budget-conscious enterprises. Furthermore, integrating cloud robots with legacy production systems poses technological obstacles, requiring specialized skills and considerable reconfiguration of existing workflows.

Segment Analysis

The global cloud robotics for manufacturing market is segmented based on offering, robot type, enterprise size, application and region.

Industrial Robots in the global market is expected to drive the market.

In 2024, the industrial robots segment accounted for the largest percentage of global cloud robotics for manufacturing market. The combination of cloud computing, big data and other emerging technologies enables the design of multi-robot systems with great performance and complexity. Industrial robotics has grown significantly as a result of increased IoT penetration and robotics expenditures.

In accordance to the International Federation of Robotics, robot installations worldwide have rebounded quickly, making 2021 the most successful year in the robotics industry's history (IFR). Demand achieved high levels across industries due to the continuing trend toward automation and continued technological innovation. Even the pre-pandemic high of 422,000 installations per year in 2018 was broken by 2021.

Geographical Penetration

Growing Penetration of Cloud Computing in Asia-Pacific.

Asia-Pacific is expected to play a significant part in the global cloud robotics for manufacturing market. The market is experiencing a strong push toward sustainability and green enterprise adoption, driven by rapid industrialization and government initiatives promoting eco-friendly manufacturing. Cloud robotics reduces energy consumption by shifting computational processes to centralized cloud platforms, enabling manufacturers to optimize energy efficiency and reduce carbon footprints.

Industrial robots are expected to grow fast in China as the downstream manufacturing sector recovers and production of lithium batteries, new energy vehicles and other industries expands. For the last eight years, China has been the biggest market worldwide for industrial robots. Under a five-year plan announced by the Ministry of Industry and Information Technology, China's robotics industry's operating revenue is expected to grow at a 20% annual rate from 2021 to 2025.

Sustainability and Green Enterprise Size Analysis

The global cloud robotics market for manufacturing is shifting toward sustainability and green corporate solutions as industries strive to reduce energy usage and carbon footprints. Cloud-based robots eliminate the need for large on-premise computing infrastructures, resulting in lower electricity use and hardware waste. Furthermore, AI-driven robotic automation enhances manufacturing processes by reducing material waste and increasing resource efficiency. Large organizations are using cloud robots to implement predictive maintenance, decreasing machine downtime and energy-intensive repairs.

For example, ABB Ltd. incorporates cloud-connected robots into smart factories to improve efficiency and sustainability, lowering operational costs and boosting overall environmental performance. Similarly, SMEs benefit from cloud robotics' scalability, which enables them to implement green automation without making significant upfront investments in physical servers or computer equipment. This transformation fits with global sustainability goals and cloud robotics is a crucial driver of eco-friendly manufacturing processes.

Competitive Landscape

The major global players in the market include CloudMinds, Rapyuta Robotics Co. Ltd., Microsoft Corporation, Rockwell Automation Inc., ABB, Calvary Robotics, Kuka AG, Amazon Robotics, IBM Corporation and Ortelio Ltd.

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Target Audience 2024

  • Manufacturers/ Buyers
  • Industry Investors/Investment Bankers
  • Research Professionals
  • Emerging Companies

Table of Contents

1. Methodology and Scope

  • 1.1. Research Methodology
  • 1.2. Research Objective and Scope of the Report

2. Definition and Overview

3. Executive Summary

  • 3.1. Snippet by Offering
  • 3.2. Snippet by Robot Type
  • 3.3. Snippet by Enterprise Size
  • 3.4. Snippet by Application
  • 3.5. Snippet by Region

4. Dynamics

  • 4.1. Impacting Factors
    • 4.1.1. Drivers
      • 4.1.1.1. Rising Adoption of Smart Manufacturing and Industry 4.0
    • 4.1.2. Restraints
      • 4.1.2.1. High Initial Investment and Integration Challenges
    • 4.1.3. Opportunity
    • 4.1.4. Impact Analysis

5. Industry Analysis

  • 5.1. Porter's Five Force Analysis
  • 5.2. Supply Chain Analysis
  • 5.3. Value Chain Analysis
  • 5.4. Pricing Analysis
  • 5.5. Regulatory and Compliance Analysis
  • 5.6. AI & Automation Impact Analysis
  • 5.7. R&D and Innovation Analysis
  • 5.8. Sustainability & Green Enterprise Size Analysis
  • 5.9. Cybersecurity Analysis
  • 5.10. Next Generation Enterprise Size Analysis
  • 5.11. Enterprise Size Roadmap
  • 5.12. DMI Opinion

6. By Offering

  • 6.1. Introduction
    • 6.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Offering
    • 6.1.2. Market Attractiveness Index, By Offering
  • 6.2. Solution*
    • 6.2.1. Introduction
    • 6.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
  • 6.3. Service

7. By Robot Type

  • 7.1. Introduction
    • 7.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Robot Type
    • 7.1.2. Market Attractiveness Index, By Robot Type
  • 7.2. Industrial Robots*
    • 7.2.1. Introduction
    • 7.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
  • 7.3. Service Robots

8. By Enterprise Size

  • 8.1. Introduction
    • 8.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Enterprise Size
    • 8.1.2. Market Attractiveness Index, By Enterprise Size
  • 8.2. Large Enterprises*
    • 8.2.1. Introduction
    • 8.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
  • 8.3. SMEs

9. By Application

  • 9.1. Introduction
    • 9.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
    • 9.1.2. Market Attractiveness Index, By Application
  • 9.2. Material Handling & Warehouse & Inventory Management*
    • 9.2.1. Introduction
    • 9.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
  • 9.3. Assembly & Production Line Automation
  • 9.4. Quality Inspection & Testing
  • 9.5. Warehouse & Inventory Management
  • 9.6. Others

10. By Region

  • 10.1. Introduction
    • 10.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Region
    • 10.1.2. Market Attractiveness Index, By Region
  • 10.2. North America
    • 10.2.1. Introduction
    • 10.2.2. Key Region-Specific Dynamics
    • 10.2.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Offering
    • 10.2.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Robot Type
    • 10.2.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Enterprise Size
    • 10.2.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
    • 10.2.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
      • 10.2.7.1. US
      • 10.2.7.2. Canada
      • 10.2.7.3. Mexico
  • 10.3. Europe
    • 10.3.1. Introduction
    • 10.3.2. Key Region-Specific Dynamics
    • 10.3.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Offering
    • 10.3.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Robot Type
    • 10.3.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Enterprise Size
    • 10.3.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
    • 10.3.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
      • 10.3.7.1. Germany
      • 10.3.7.2. UK
      • 10.3.7.3. France
      • 10.3.7.4. Italy
      • 10.3.7.5. Spain
      • 10.3.7.6. Rest of Europe
  • 10.4. South America
    • 10.4.1. Introduction
    • 10.4.2. Key Region-Specific Dynamics
    • 10.4.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Offering
    • 10.4.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Robot Type
    • 10.4.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Enterprise Size
    • 10.4.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
    • 10.4.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
      • 10.4.7.1. Brazil
      • 10.4.7.2. Argentina
      • 10.4.7.3. Rest of South America
  • 10.5. Asia-Pacific
    • 10.5.1. Introduction
    • 10.5.2. Key Region-Specific Dynamics
    • 10.5.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Offering
    • 10.5.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Robot Type
    • 10.5.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Enterprise Size
    • 10.5.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
    • 10.5.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
      • 10.5.7.1. China
      • 10.5.7.2. India
      • 10.5.7.3. Japan
      • 10.5.7.4. Australia
      • 10.5.7.5. Rest of Asia-Pacific
  • 10.6. Middle East and Africa
    • 10.6.1. Introduction
    • 10.6.2. Key Region-Specific Dynamics
    • 10.6.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Offering
    • 10.6.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Robot Type
    • 10.6.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Enterprise Size
    • 10.6.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application

11. Competitive Landscape

  • 11.1. Competitive Scenario
  • 11.2. Market Positioning/Share Analysis
  • 11.3. Mergers and Acquisitions Analysis

12. Company Profiles

  • 12.1. CloudMinds*
    • 12.1.1. Company Overview
    • 12.1.2. Product Portfolio and Description
    • 12.1.3. Financial Overview
    • 12.1.4. Key Developments
  • 12.2. Rapyuta Robotics Co. Ltd.
  • 12.3. Microsoft Corporation
  • 12.4. Rockwell Automation Inc.
  • 12.5. ABB
  • 12.6. Calvary Robotics
  • 12.7. Kuka AG
  • 12.8. Amazon Robotics
  • 12.9. IBM Corporation
  • 12.10. Ortelio Ltd.

LIST NOT EXHAUSTIVE

13. Appendix

  • 13.1. About Us and Services
  • 13.2. Contact Us