Cloud Robotics Market Gears Up for Strong Growth in 2025: Trends and Analysis

QY Research has recently published a research report titled, "Global Cloud Robotics Market Share and Ranking, Overall Sales and Demand Forecast 2025-2031". The report offers a complete compilation of first-hand and authentic information on the global Cloud Robotics market taking into consideration market dynamics, segmentation, current developments, market trends, and competitive analysis. It also includes the qualitative and quantitative assessment by the leading industry analysts. Additionally, growth factors, micro and macroeconomic indicators, and emerging market trends are being scrutinized in the report. Impact of various factors on the global Cloud Robotics market growth has also been mapped by the report.

The global market for Cloud Robotics was estimated to be worth US$ 852 million in 2024 and is forecast to a readjusted size of US$ 1973 million by 2031 with a CAGR of 12.5% during the forecast period 2025-2031.

Download Exclusive Research Report PDF Sample: (Including Full TOC, List of Tables & Figures, Chart) @ https://www.qyresearch.in/request-sample/service-software-cloud-robotics-market-share-and-ranking-overall-sales-and-demand-forecast-2025-2031

Cloud robotics is an emerging field of robotics rooted in cloud computing, cloud storage, and other Internet technologies centered around the benefits of converged infrastructure and shared services. It allows robots to benefit from the powerful computational, storage, and communications resources of modern data centers. In addition, it removes overheads for maintenance and updates, and reduces dependence on custom middleware.

The main market drivers include the following:

Technological innovation drives the expansion of functional boundaries

Cloud robots achieve a balance between computing power and cost through a "cloud brain + edge execution" architecture. This is driven by technological breakthroughs. On the one hand, the widespread adoption of 5G networks and the improvement of edge computing capabilities are enabling robots to collect real-time data and make low-latency decisions. For example, remote surgical robots achieve millimeter-level precision through cloud-based AI assistance. On the other hand, the integration of multimodal perception technologies (such as 3D vision and tactile sensors) with lightweight models empowers robots with enhanced environmental adaptability. For example, industrial inspection robots can autonomously identify equipment faults and generate repair plans. Furthermore, the deep integration of large AI models with robot control systems is driving the evolution from "programmed execution" to "cognitive autonomy." For example, service robots use natural language processing to understand user needs and dynamically adjust service processes.

Diversified application scenarios are driving explosive market demand

Cloud robots are expanding beyond single industrial scenarios into diverse fields, forming a large-scale application ecosystem. In industrial manufacturing, the demand for flexible production is driving the coordinated operation of robot swarms. For example, automotive welding workshops use cloud-based scheduling to enable dynamic path planning for multiple robots, improving production efficiency. In healthcare, remote surgery and rehabilitation care are becoming essential. For example, orthopedic surgical robots leverage 5G and cloud computing power to support real-time expert guidance across locations. In emergency rescue, cloud robots can replace humans in dangerous environments, such as locating survivors in earthquake debris through autonomous navigation and image recognition. Furthermore, intelligent upgrades in scenarios such as home services and logistics warehousing are further expanding the market. For example, sweeping robots can update their cleaning algorithms through the cloud to adapt to different household needs.

Policy Support and Industry Collaboration Build the Foundation for Development

Globally, strategic upgrades in intelligent manufacturing and the robotics industry are providing policy dividends for cloud robots. China's 14th Five-Year Plan explicitly lists robotics as a key development direction, accelerating the implementation of this technology through subsidies and pilot programs. Germany's Industry 4.0 initiative promotes the digitalization of manufacturing, requiring companies to deploy intelligent equipment with cloud-based collaboration capabilities. The US National Robotics Initiative focuses on key sectors such as healthcare and defense, supporting the research and development of core cloud robotics technologies. At the same time, collaborative innovation across the industry chain is lowering the barrier to entry for adoption: chip companies are launching low-power AI computing modules, communications companies are optimizing 5G private network solutions, and software companies are developing standardized cloud platforms, jointly building a closed "hardware-connectivity-algorithm" ecosystem. For example, Danghong Technology's ultra-low-latency remote control system, leveraging multimodal compression and global communication technologies, addresses signal blind spots in remote areas and promotes the widespread adoption of cloud robots in scenarios such as power inspections.

Market players need to be equipped with the information regarding the current and future competitive scenario in order to keep a check on their competitors' activities as well as execute their business strategies. This report will surely suffice as the analysts have critically examined the competitive scenario and have offered reliable forecasts. With this information, companies can understand the current and future market scenario and plan their tactics to gain a competitive edge over others.

Key Players Mentioned in the Global Cloud Robotics Market Research Report:

FANUC
KUKA
ABB
Yaskawa
Mitsubishi
Irobot
SoftBank
CloudMinds
Alibaba Cloud
Huawei Cloud
Amazon
Wuhan Endeavor

The research report provides analysis based on the global Cloud Robotics market segments including product types, end user, application, and geography. Each and every segment has been studied on the basis of factors such as market share, market size, CAGR, demand, and growth potential. Moreover, the market analysts have identified the leading regions having growth potential. This segmental study will assist the key players to stress on key growth areas of the global Cloud Robotics market and according plan their further strategies.

Segment by Type:

Hardware
Software

Segment by Application:

Industrial
Professional Service
Personal Service

Key regions including but not limited to North America, Asia Pacific, Europe, and the MEA are exhaustively analyzed based on market size, CAGR, market potential, economic and political factors, regulatory scenarios, and other significant parameters. The regional analysis provided in the Cloud Robotics report will help market participants to identify lucrative and untapped business opportunities in different regions and countries. It includes a special study on production and production rate, import and export, and consumption in each regional Cloud Robotics market considered for research. The report also offers detailed analysis of country-level Cloud Robotics markets.

Segment by Region

North America (U.S., Canada, Mexico)
Europe (Germany, France, UK, Italy, etc.)
Asia Pacific (China, Japan, South Korea, Southeast Asia, India, etc.)
South America (Brazil, etc.)
Middle East and Africa (Turkey, GCC Countries, Africa, etc.)

Important Questions Answered included in the Report:

(A) What is the market size and growth rate of the global and regional market by various segments?

(B) What is the market size and growth rate of the market for selective Countries?

(C) Which region or sub-segment is expected to drive the market in the forecast period?

(D) What factors are estimated to drive and restrain the market growth?

(E) What are the key technology and market trends shaping the market?

(F) what are the key opportunity in the market?

(G) Who are the leading manufacturers operating in the global Cloud Robotics market?

(H) Which key player accounted for the highest market share?

(I) What are the growth opportunities for the new entrants in the global Cloud Robotics market?

Request Pre-Order Enquiry or Customized Research On This Report: https://www.qyresearch.in/pre-order-inquiry/service-software-cloud-robotics-market-share-and-ranking-overall-sales-and-demand-forecast-2025-2031

Table Of Content

"1 Market Overview
1.1 Cloud Robotics Product Introduction
1.2 Global Cloud Robotics Market Size Forecast (2020-2031)
1.3 Cloud Robotics Market Trends & Drivers
1.3.1 Cloud Robotics Industry Trends
1.3.2 Cloud Robotics Market Drivers & Opportunity
1.3.3 Cloud Robotics Market Challenges
1.3.4 Cloud Robotics Market Restraints
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Competitive Analysis by Company
2.1 Global Cloud Robotics Players Revenue Ranking (2024)
2.2 Global Cloud Robotics Revenue by Company (2020-2025)
2.3 Key Companies Cloud Robotics Manufacturing Base Distribution and Headquarters
2.4 Key Companies Cloud Robotics Product Offered
2.5 Key Companies Time to Begin Mass Production of Cloud Robotics
2.6 Cloud Robotics Market Competitive Analysis
2.6.1 Cloud Robotics Market Concentration Rate (2020-2025)
2.6.2 Global 5 and 10 Largest Companies by Cloud Robotics Revenue in 2024
2.6.3 Global Top Companies by Company Type (Tier 1, Tier 2, and Tier 3) & (based on the Revenue in Cloud Robotics as of 2024)
2.7 Mergers & Acquisitions, Expansion
3 Segmentation by Type
3.1 Introduction by Type
3.1.1 Hardware
3.1.2 Software
3.2 Global Cloud Robotics Sales Value by Type
3.2.1 Global Cloud Robotics Sales Value by Type (2020 VS 2024 VS 2031)
3.2.2 Global Cloud Robotics Sales Value, by Type (2020-2031)
3.2.3 Global Cloud Robotics Sales Value, by Type (%) (2020-2031)
4 Segmentation by Application
4.1 Introduction by Application
4.1.1 Industrial
4.1.2 Professional Service
4.1.3 Personal Service
4.2 Global Cloud Robotics Sales Value by Application
4.2.1 Global Cloud Robotics Sales Value by Application (2020 VS 2024 VS 2031)
4.2.2 Global Cloud Robotics Sales Value, by Application (2020-2031)
4.2.3 Global Cloud Robotics Sales Value, by Application (%) (2020-2031)
5 Segmentation by Region
5.1 Global Cloud Robotics Sales Value by Region
5.1.1 Global Cloud Robotics Sales Value by Region: 2020 VS 2024 VS 2031
5.1.2 Global Cloud Robotics Sales Value by Region (2020-2025)
5.1.3 Global Cloud Robotics Sales Value by Region (2026-2031)
5.1.4 Global Cloud Robotics Sales Value by Region (%), (2020-2031)
5.2 North America
5.2.1 North America Cloud Robotics Sales Value, 2020-2031
5.2.2 North America Cloud Robotics Sales Value by Country (%), 2024 VS 2031
5.3 Europe
5.3.1 Europe Cloud Robotics Sales Value, 2020-2031
5.3.2 Europe Cloud Robotics Sales Value by Country (%), 2024 VS 2031
5.4 Asia Pacific
5.4.1 Asia Pacific Cloud Robotics Sales Value, 2020-2031
5.4.2 Asia Pacific Cloud Robotics Sales Value by Region (%), 2024 VS 2031
5.5 South America
5.5.1 South America Cloud Robotics Sales Value, 2020-2031
5.5.2 South America Cloud Robotics Sales Value by Country (%), 2024 VS 2031
5.6 Middle East & Africa
5.6.1 Middle East & Africa Cloud Robotics Sales Value, 2020-2031
5.6.2 Middle East & Africa Cloud Robotics Sales Value by Country (%), 2024 VS 2031
6 Segmentation by Key Countries/Regions
6.1 Key Countries/Regions Cloud Robotics Sales Value Growth Trends, 2020 VS 2024 VS 2031
6.2 Key Countries/Regions Cloud Robotics Sales Value, 2020-2031
6.3 United States
6.3.1 United States Cloud Robotics Sales Value, 2020-2031
6.3.2 United States Cloud Robotics Sales Value by Type (%), 2024 VS 2031
6.3.3 United States Cloud Robotics Sales Value by Application, 2024 VS 2031
6.4 Europe
6.4.1 Europe Cloud Robotics Sales Value, 2020-2031
6.4.2 Europe Cloud Robotics Sales Value by Type (%), 2024 VS 2031
6.4.3 Europe Cloud Robotics Sales Value by Application, 2024 VS 2031
6.5 China
6.5.1 China Cloud Robotics Sales Value, 2020-2031
6.5.2 China Cloud Robotics Sales Value by Type (%), 2024 VS 2031
6.5.3 China Cloud Robotics Sales Value by Application, 2024 VS 2031
6.6 Japan
6.6.1 Japan Cloud Robotics Sales Value, 2020-2031
6.6.2 Japan Cloud Robotics Sales Value by Type (%), 2024 VS 2031
6.6.3 Japan Cloud Robotics Sales Value by Application, 2024 VS 2031
6.7 South Korea
6.7.1 South Korea Cloud Robotics Sales Value, 2020-2031
6.7.2 South Korea Cloud Robotics Sales Value by Type (%), 2024 VS 2031
6.7.3 South Korea Cloud Robotics Sales Value by Application, 2024 VS 2031
6.8 Southeast Asia
6.8.1 Southeast Asia Cloud Robotics Sales Value, 2020-2031
6.8.2 Southeast Asia Cloud Robotics Sales Value by Type (%), 2024 VS 2031
6.8.3 Southeast Asia Cloud Robotics Sales Value by Application, 2024 VS 2031
6.9 India
6.9.1 India Cloud Robotics Sales Value, 2020-2031
6.9.2 India Cloud Robotics Sales Value by Type (%), 2024 VS 2031
6.9.3 India Cloud Robotics Sales Value by Application, 2024 VS 2031
7 Company Profiles
7.1 FANUC
7.1.1 FANUC Profile
7.1.2 FANUC Main Business
7.1.3 FANUC Cloud Robotics Products, Services and Solutions
7.1.4 FANUC Cloud Robotics Revenue (US$ Million) & (2020-2025)
7.1.5 FANUC Recent Developments
7.2 KUKA
7.2.1 KUKA Profile
7.2.2 KUKA Main Business
7.2.3 KUKA Cloud Robotics Products, Services and Solutions
7.2.4 KUKA Cloud Robotics Revenue (US$ Million) & (2020-2025)
7.2.5 KUKA Recent Developments
7.3 ABB
7.3.1 ABB Profile
7.3.2 ABB Main Business
7.3.3 ABB Cloud Robotics Products, Services and Solutions
7.3.4 ABB Cloud Robotics Revenue (US$ Million) & (2020-2025)
7.3.5 ABB Recent Developments
7.4 Yaskawa
7.4.1 Yaskawa Profile
7.4.2 Yaskawa Main Business
7.4.3 Yaskawa Cloud Robotics Products, Services and Solutions
7.4.4 Yaskawa Cloud Robotics Revenue (US$ Million) & (2020-2025)
7.4.5 Yaskawa Recent Developments
7.5 Mitsubishi
7.5.1 Mitsubishi Profile
7.5.2 Mitsubishi Main Business
7.5.3 Mitsubishi Cloud Robotics Products, Services and Solutions
7.5.4 Mitsubishi Cloud Robotics Revenue (US$ Million) & (2020-2025)
7.5.5 Mitsubishi Recent Developments
7.6 Irobot
7.6.1 Irobot Profile
7.6.2 Irobot Main Business
7.6.3 Irobot Cloud Robotics Products, Services and Solutions
7.6.4 Irobot Cloud Robotics Revenue (US$ Million) & (2020-2025)
7.6.5 Irobot Recent Developments
7.7 SoftBank
7.7.1 SoftBank Profile
7.7.2 SoftBank Main Business
7.7.3 SoftBank Cloud Robotics Products, Services and Solutions
7.7.4 SoftBank Cloud Robotics Revenue (US$ Million) & (2020-2025)
7.7.5 SoftBank Recent Developments
7.8 CloudMinds
7.8.1 CloudMinds Profile
7.8.2 CloudMinds Main Business
7.8.3 CloudMinds Cloud Robotics Products, Services and Solutions
7.8.4 CloudMinds Cloud Robotics Revenue (US$ Million) & (2020-2025)
7.8.5 CloudMinds Recent Developments
7.9 Alibaba Cloud
7.9.1 Alibaba Cloud Profile
7.9.2 Alibaba Cloud Main Business
7.9.3 Alibaba Cloud Cloud Robotics Products, Services and Solutions
7.9.4 Alibaba Cloud Cloud Robotics Revenue (US$ Million) & (2020-2025)
7.9.5 Alibaba Cloud Recent Developments
7.10 Huawei Cloud
7.10.1 Huawei Cloud Profile
7.10.2 Huawei Cloud Main Business
7.10.3 Huawei Cloud Cloud Robotics Products, Services and Solutions
7.10.4 Huawei Cloud Cloud Robotics Revenue (US$ Million) & (2020-2025)
7.10.5 Huawei Cloud Recent Developments
7.11 Amazon
7.11.1 Amazon Profile
7.11.2 Amazon Main Business
7.11.3 Amazon Cloud Robotics Products, Services and Solutions
7.11.4 Amazon Cloud Robotics Revenue (US$ Million) & (2020-2025)
7.11.5 Amazon Recent Developments
7.12 Wuhan Endeavor
7.12.1 Wuhan Endeavor Profile
7.12.2 Wuhan Endeavor Main Business
7.12.3 Wuhan Endeavor Cloud Robotics Products, Services and Solutions
7.12.4 Wuhan Endeavor Cloud Robotics Revenue (US$ Million) & (2020-2025)
7.12.5 Wuhan Endeavor Recent Developments
8 Industry Chain Analysis
8.1 Cloud Robotics Industrial Chain
8.2 Cloud Robotics Upstream Analysis
8.2.1 Key Raw Materials
8.2.2 Raw Materials Key Suppliers
8.2.3 Manufacturing Cost Structure
8.3 Midstream Analysis
8.4 Downstream Analysis (Customers Analysis)
8.5 Sales Model and Sales Channels
8.5.1 Cloud Robotics Sales Model
8.5.2 Sales Channel
8.5.3 Cloud Robotics Distributors
9 Research Findings and Conclusion
10 Appendix
10.1 Research Methodology
10.1.1 Methodology/Research Approach
10.1.1.1 Research Programs/Design
10.1.1.2 Market Size Estimation
10.1.1.3 Market Breakdown and Data Triangulation
10.1.2 Data Source
10.1.2.1 Secondary Sources
10.1.2.2 Primary Sources
10.2 Author Details
10.3 Disclaimer

Contact US

Ankit Jain - Director, Global Digital Marketing

QY Research, INC.
India Office -
315Work Avenue, Raheja Woods, Kalyani Nagar,
Pune, Maharashtra 411006, India
Web - https://www.qyresearch.in
Email- ankit@qyresearch.com

About US:

QYResearch is a leading global market research and consulting company established in 2007. With over 17 years' experience and professional research team in various cities over the world QY Research focuses on management consulting, database and seminar services, IPO consulting, industry chain research and customized research to help our clients in providing non-linear revenue model and make them successful. We are globally recognized for our expansive portfolio of services, good corporate citizenship, and our strong commitment to sustainability.

This release was published on openPR.