首頁 > 市場調查報告書 > 通訊

自動化雲端服務

市場調查報告書

商品編碼

1696237

全球製造業雲機器人市場 - 2025 年至 2032 年

Global Cloud Robotics for Manufacturing Market - 2025-2032

出版日期: 2025年03月25日 | 出版商:

DataM Intelligence | 英文 180 Pages | 商品交期: 最快1-2個工作天內

價格

※ 本網頁內容可能與最新版本有所差異。詳細情況請與我們聯繫。

簡介目錄

2024 年全球製造業雲端機器人市場規模達 51.2 億美元，預計到 2032 年將達到 296.3 億美元，2025-2032 年預測期間的複合年成長率為 24.54%。

協作機器人在製造業的應用日益廣泛，這是全球製造業雲端機器人發展的重要驅動力。協作機器人與標準工業機器人不同，其目的是在工業環境中與人類工人一起操作，以提高效率、精確度和安全性。透過雲端連接，這些機器人可以接收即時資料、對動態生產需求做出反應並使用人工智慧驅動的決策最佳化工作流程。

協作機器人生產領域的領導者 Universal Robots 已將基於雲端的分析功能整合到其機械手臂中，使企業能夠遠端監控機器人性能並規劃預測性維護。這減少了停機時間並提高了生產過程的效率。隨著企業優先考慮自動化以緩解勞動力短缺並提高營運效率，對雲端連接協作機器人的需求預計將激增，從而推動製造業雲端機器人市場的成長。

動態的

智慧製造和工業 4.0 的採用日益增多

智慧製造和工業 4.0 項目的日益普及是全球製造業雲端機器人市場發展的主要驅動力。隨著製造商追求更高的效率、靈活性和可擴展性，基於雲端的機器人技術對於實現生產線的即時監控、預測性維護和無縫自動化至關重要。人工智慧、物聯網和巨量資料分析與雲端機器人的結合，使產業能夠提高生產力，同時降低營運費用。

例如，西門子和 NVIDIA 合作開發了工業數位孿生技術，該技術利用雲端機器人即時複製生產流程。這使得製造商能夠在實際實施之前最佳化操作，減少停機時間並提高生產效率。隨著全球各國政府透過資金和激勵措施推動數位轉型，例如德國的工業 4.0 政策和中國的中國製造 2025 計劃，雲端機器人在製造業的應用預計將加速，從而帶來巨大的市場發展。

初期投資高，整合挑戰大

製造業採用全球雲端機器人的主要障礙之一是採用基於雲端的機器人系統需要較高的初始投資和整合複雜性。製造商，尤其是中小型企業 (SME)，在從傳統自動化轉向雲端整合機器人解決方案時經常會遇到重大的財務和技術挑戰。

先進的機器人技術、雲端基礎設施、網路安全措施和資料管理系統可能價格過高，對於注重預算的企業來說難以採用。此外，將雲端機器人與傳統生產系統結合存在技術障礙，需要專業技能和對現有工作流程進行大量重新配置。

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.

Why Choose DataM?

Data-Driven Insights: Dive into detailed analyses with granular insights such as pricing, market shares and value chain evaluations, enriched by interviews with industry leaders and disruptors.
Post-Purchase Support and Expert Analyst Consultations: As a valued client, gain direct access to our expert analysts for personalized advice and strategic guidance, tailored to your specific needs and challenges.
White Papers and Case Studies: Benefit quarterly from our in-depth studies related to your purchased titles, tailored to refine your operational and marketing strategies for maximum impact.
Annual Updates on Purchased Reports: As an existing customer, enjoy the privilege of annual updates to your reports, ensuring you stay abreast of the latest market insights and technological advancements. Terms and conditions apply.
Specialized Focus on Emerging Markets: DataM differentiates itself by delivering in-depth, specialized insights specifically for emerging markets, rather than offering generalized geographic overviews. This approach equips our clients with a nuanced understanding and actionable intelligence that are essential for navigating and succeeding in high-growth regions.
Value of DataM Reports: Our reports offer specialized insights tailored to the latest trends and specific business inquiries. This personalized approach provides a deeper, strategic perspective, ensuring you receive the precise information necessary to make informed decisions. These insights complement and go beyond what is typically available in generic databases.

Target Audience 2024

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

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