클라우드 로보틱스 시장 : 시장 규모, 점유율, 동향, 예측 - 컴포넌트별, 접속성별, 전개 모드별, 용도별, 지역별(2025-2033년)

The global cloud robotics market size was valued at USD 8.4 Billion in 2024. Looking forward, IMARC Group estimates the market to reach USD 35.2 Billion by 2033, exhibiting a CAGR of 16.42% from 2025-2033. North America currently dominates the market, holding a market share of over 34.4% in 2024. The cloud robotics market share is driven by significant advancements in cloud computing, scalability and cost efficiency, enhanced robot capabilities, rising number of autonomous vehicles, and industry-specific applications are some of the major factors propelling the market.

Cloud robotics market is largely driven by the promising evolution of cloud computing and the immensely growing adoption of artificial intelligence (AI) and machine learning (ML). This on-send robots to access cloud-based resources on-the-fly for potentially greater processing power, swift management of storage space and real-time analysis of the very data on hand, which aids in enhanced decision-making and operational efficiency. The increasing demand for automation across industrial settings, especially the manufacturing, health care, and logistics industries, are also creating a strong trend for the demand for cloud robotics. The interface and connectedness in robotics imply that cobots amicably coexist with human workers, thereby addressing the global labor shortage, thereby increasing productivity. Similarly, IoT and 5G of cloud robotics utterly abet real-time communication with the cloud for full-scale data exchange. Furthermore, the reduced infrastructure costs, cheaper cloud solutions that diminish the need for extensive on-premises build-up, render the fields more accessible to companies of all sizes.

The United States has emerged as a key regional market for cloud robotics driven by several factors, reflecting the country's technological advancement and industry adoption. One key driver is the rapid integration of artificial intelligence (AI) and machine learning (ML) in robotics, enabling real-time decision-making and improved efficiency. Cloud computing infrastructure in the U.S. is highly developed, facilitating seamless data storage, processing, and communication between robots and cloud servers. The growing demand for automation across industries, including manufacturing, healthcare, and logistics, further fuels market growth. Businesses are adopting cloud robotics to optimize operations, reduce costs, and enhance productivity. Additionally, the rise of Industry 4.0 initiatives and smart factories accelerates the deployment of connected robotics systems. The U.S. also benefits from a strong ecosystem of tech companies and startups actively innovating in cloud robotics. Supportive government policies and investments in research and development further bolster market expansion.

Cloud Robotics Market Trends:

Significant Advancements in Cloud Computing

Cloud platforms have undergone remarkable improvements in terms of storage capacity, processing power, and low-latency connectivity. These advancements allow robots to harness the full potential of cloud resources effectively. With the increasing availability of high-speed internet and data centers worldwide, robots can seamlessly tap into the cloud to offload computationally intensive tasks. This includes tasks such as complex data analysis, machine learning, and access to massive datasets. For example, Lenovo, in a joint venture with Intel, revealed in December 2023 its hybrid cloud platform and services aimed at optimizing the efficiency and scalability of cloud-based operations, industry reports said. By leveraging cloud computing, robots can enhance their decision-making capabilities and adapt to dynamic environments more efficiently. This, in turn, fosters innovation across industries, as companies can deploy robots with greater intelligence and agility, driving the adoption of cloud robotics solutions.

Scalability and Cost Efficiency

Traditional robotic deployments often require substantial upfront investments in hardware and infrastructure. In contrast, cloud robotics offers the flexibility to scale robot deployments up or down according to business needs without significant capital expenditures. The pay-as-you-go model of cloud services allows organizations to allocate resources efficiently, minimizing costs. Small and medium-sized enterprises, in particular, benefit from this cost-effective approach, as they can access the same cloud resources as larger counterparts without the burden of high upfront costs. Advanced robots equipped with cloud robotics have reportedly also been shown to improve their 25% in efficiency, including real-time optimization of movement as well as adjustment to environmental surroundings. Industry reports further claim this enables the process and response towards dynamic environments effectively, making their utility more advanced in complex operations. Scalability also enables businesses to adapt to changing market demands and technological advancements more readily. As the cloud robotics ecosystem expands, companies can deploy additional robots or adjust their capabilities in response to evolving requirements. This adaptability fosters innovation and drives the widespread adoption of cloud robotics in various industries, ultimately enhancing overall operational efficiency.

Enhanced Robot Capabilities

By connecting to the cloud, robots can access real-time data analysis, machine learning algorithms, and vast datasets. This enhanced capability results in robots that are more intelligent, adaptable, and capable of performing complex tasks efficiently. For example, in healthcare, robots can access a wealth of medical knowledge stored in the cloud to assist with diagnostics and treatment recommendations. In manufacturing, robots can optimize production processes by continuously analyzing data from multiple sources. The International Federation of Robotics claims that 2021 was the most prosperous year in the history of the robotics industry due to the quick recovery of robot installations around the globe. Due to the continuous trend toward automation and continual technological innovation, demand reached high levels across industries. This trend has further propelled the development of cloud robotics, as industries increasingly adopt automation to enhance productivity and efficiency. Additionally, cloud robotics allows for remote updates and improvements to robot algorithms. This means that robots can continually evolve and benefit from the latest advancements in AI and data analysis, ensuring that they remain at the forefront of technology. These enhanced capabilities drive the adoption of cloud robotics across industries seeking to harness the power of intelligent, data-driven automation.

Cloud Robotics Industry Segmentation:

Analysis by Component:

• Hardware
• Software
• Services

According to the report, hardware represented the largest segment with 52.9% share. Hardware is the foundational element of any robotic system. It includes the physical components such as sensors, actuators, processors, and communication modules that enable the robot to interact with its environment and the cloud. These components are essential for collecting data, processing it, and transmitting it to the cloud for further analysis and decision-making. Without robust and capable hardware, cloud robotics systems cannot function effectively. The hardware segment encompasses a wide range of components, each serving a specific purpose. This diversity includes cameras for vision, sensors for navigation, powerful processors for computation, and reliable communication modules for seamless connectivity. As cloud robotics applications become more specialized and sophisticated, the demand for specialized hardware components increases, contributing to the segment's growth. Furthermore, hardware advancements have led to smaller, more energy-efficient, and cost-effective components. This trend has made cloud robotics more accessible to various industries, including healthcare, manufacturing, agriculture, and logistics, further driving demand for hardware components.

Analysis by Connectivity:

• 3G
• Bluetooth
• Wi-Fi
• 4G
• 5G
• RF
• Infrared

WiFi networks lead the market with 36.6% share as they are widely available in homes, businesses, and public spaces, making it a convenient option for deploying cloud robotics without the need for specialized or costly infrastructure. Its global standardization ensures compatibility across devices and platforms. Besides, WiFi offers sufficient bandwidth for transmitting large volumes of data, such as sensory inputs, images, and commands, between robots and the cloud. This real-time connectivity is essential for applications requiring quick decision-making and adaptive responses.

Analysis by Deployment Mode:

• Public Cloud
• Private Cloud
• Hybrid Cloud

According to the report, public cloud represented the largest segment with 47.3%. Public cloud offers unmatched scalability and accessibility. It allows organizations to access and deploy cloud robotics solutions without the need for significant upfront infrastructure investments. This level of affordability and flexibility appeals to a wide range of businesses, including startups and small to medium-sized enterprises, driving adoption. Additionally, public cloud providers offer a vast array of services, including storage, computing power, and data analytics, which are essential for cloud robotics applications. These services can be easily integrated into robotic systems, enabling them to access the necessary resources for tasks like data processing, machine learning, and remote monitoring. Other than this, public cloud providers invest heavily in security measures and compliance standards, addressing concerns related to data protection and regulatory requirements. This instills confidence in organizations that their data and operations are secure in the public cloud environment.

Analysis by Application:

• Industrial Cloud Robotics
• Service Cloud Robotics
• Personal Service Cloud Robotics

According to the report, industrial cloud robotics accounted for the largest market share holding 51.9% share. Industrial cloud robotics facilitates the seamless integration of robots into manufacturing processes, enabling tasks such as automation, quality control, and material handling. This results in reduced production costs, enhanced product quality, and faster turnaround times, all of which are paramount in highly competitive markets. Furthermore, the ability of industrial cloud robotics to adapt to changing demands and optimize operations in real-time is a significant factor. Manufacturers can harness the power of cloud-based data analytics and machine learning to continuously improve their processes. This adaptability ensures that factories remain agile and responsive to market fluctuations. Additionally, industrial cloud robotics offers predictive maintenance capabilities, reducing costly downtime and prolonging the lifespan of equipment. These advantages make it a preferred choice for industries seeking to modernize and stay competitive in the global market landscape.

Regional Analysis:

• North America
  • United States
  • Canada
• Europe
  • Germany
  • France
  • United Kingdom
  • Italy
  • Spain
  • Russia
  • Others
• Asia Pacific
  • China
  • Japan
  • India
  • South Korea
  • Australia
  • Indonesia
  • Others
• Latin America
  • Brazil
  • Mexico
  • Others
• Middle East and Africa

North America accounted for the largest market share with 34.4% share. With a concentration of top cloud providers, robotics firms, and research institutes, North America boasts a strong technology environment. The creation and implementation of cloud robotics solutions are fueled by this ecosystem, which encourages creativity and teamwork. Furthermore, North American businesses make large investments in R&D, which propels ongoing developments in cloud robotics technology. This dedication to innovation increases market competitiveness. Aside from this, the area offers a stable regulatory environment that promotes confidence and trust between companies and customers thanks to clearly established rules and standards for cloud computing and robotics. Additionally, a number of North American sectors have been early adopters of cloud robots, including logistics, healthcare, and agriculture. These industries use cloud robotics to increase service quality, cut expenses, and streamline operations. Additionally, cloud robotics vendors benefit from prospects created by the robust market demand and consistent economic growth, which promotes industry expansion.

Key Regional Takeaways:

United States Cloud Robotics Market Analysis

In 2024, the United States accounted for over 83.80% of cloud robotics market in North America. The National Robotics Initiative 2.0 program is a continuance of its predecessor and is working to further the cloud robotics market in the United States. The NSF has launched the NRI-2.0 program that focuses on gathering support for basic and fundamental research work in the integration of robotics, AI, and cloud computing. This initiative fosters innovation in cloud robotics by funding projects that enhance robot autonomy, human-robot collaboration, and data-driven decision-making. The program's focus on developing next-generation robotic systems, capable of leveraging cloud platforms for real-time data processing and machine learning, accelerates the adoption of cloud robotics across various industries. As a result, sectors such as manufacturing, healthcare, and logistics are witnessing increased automation, improving operational efficiency and productivity. NRI-2.0 is going to provide critical support for advancing cloud-based robotic technologies, positioning the U.S. as a leader in the global cloud robotics market and fueling market expansion in the coming years. According to the International Federation of Robotics' current World Robotics 2024 study, the number of industrial robots installed by U.S. firms fell 5% year on year in 2023. Despite this, overall installations were the third most ever reported, with 381,964 operating robots last year, setting a new record.

Europe Cloud Robotics Market Analysis

According to sources, the Horizon Europe Programme plans to invest Euro 180 million (USD 188 million) in innovative digital technologies. This is one of the key growth drivers in the European cloud robotics market. This funding is meant to accelerate innovation and the adoption of cutting-edge technologies, including cloud robotics, across various sectors. The Horizon Europe Programme focuses on enhancing Europe's technological capabilities by collaborating with academia, industry, and government entities to establish a resource of advanced robotic systems based on cloud computing. This investment will help deploy more efficient, intelligent, and adaptable robots at an accelerated rate in industries such as manufacturing, healthcare, and logistics through support for cloud robotics research and development. European companies, as they are embracing automation more and more, will have a new opportunity in the integration of robotics with cloud platforms to allow for scalability, real-time data processing, and better decision-making. This funding initiative strengthens Europe's position in the global cloud robotics market, which will drive future growth and technological advancement across the region.

Asia Pacific Cloud Robotics Market Analysis

A significant driver of growth in the Asia Pacific cloud robotics market is the vision of Society 5.0, a future that seeks to establish a more sustainable and inclusive socio-economic system, powered by digital technologies including big data analytics, AI, IoT, and robotics, according to UNESCO. Furthermore, according to a projection by the International Federation of Robotics (IFR), India will add 4,945 units to industrial robot installations in 2023, the highest number to date, representing a whopping 54% increase. With this drastic surge in robots adoption in the country, automation, and eventually, cloud robotics, is an upcoming trend from which India takes its lead place. With the rising focus on automation and Industry 4.0, cloud robotics offers scalable, cost-effective solutions to enhance operational efficiency, decision-making, and real-time data processing. The Asia Pacific region is likely to become a major hub for cloud robotics innovation and growth as countries like India continue to advance their technological infrastructure.

Latin America Cloud Robotics Market Analysis

Latin America has experienced a significant increase in robotics investments, with the industry reporting USD 644 million in January 2019. This demonstrates the ever-increasing interest in automation technologies that is propelling the region's cloud robotics industry forward. According to the International Federation of Robotics' current World Robotics 2024 study, the number of industrial robots installed by U.S. firms fell 5% year on year in 2023. Despite this, overall installations were the third most ever reported, with 381,964 operating robots last year, setting a new record. As companies in Latin America begin to realize the value of robotics in improving efficiency, cloud-based solutions are picking up because they are flexible and cheaper. Cloud robotics allows firms to scale robotic operations without requiring a huge amount of upfront capital. Thus, advanced technologies become accessible to small and medium-sized enterprises. In addition, increased transactions in robotics in Latin America herald a future where automation becomes prevalent in manufacturing, logistics, and retail sectors. Along with the growing availability of cloud infrastructure and digital transformation, the context provides an enormous potential for cloud robotics to transform the industrial face of Latin America toward more innovative competitiveness in its industries.

Middle East and Africa Cloud Robotics Market Analysis

The Saudi Vision 2030 initiative is at the forefront of the technological push in the Middle East, focusing mainly on the implementation of automation technologies to revolutionize industries. It is such a visionary initiative that is urging a digital transformation across manufacturing, logistics, and healthcare sectors and providing fertile grounds for the development of cloud robotics in the region. With businesses in the Middle East and Africa increasingly looking at operational efficiency and competitiveness, cloud robotics presents a cost-effective solution by enabling scalability and reducing the need for heavy upfront investments. In addition, the integration of cloud technologies enables real-time data processing, advanced analytics, and remote monitoring, which has significantly improved productivity and decision-making. With Saudi Arabia heading the line, other countries in the region are also investing a lot in automation and smart technologies, which creates an ever-growing demand for solutions for cloud robotics. This trend is also in tandem with the greater regional goals of digitization and economic diversification, leading to more absorption of cloud-based robotic systems across the various sectors. There were 2,344 robotics businesses registered in Saudi Arabia in the second quarter of 2023, up from 1,537 the year before, according to the Saudi Ministry of Commerce.

Competitive Landscape:

Leading companies are heavily investing in R&D to develop cutting-edge cloud robotics solutions. This includes refining algorithms, improving hardware components, and enhancing cloud platforms. These efforts result in more capable, efficient, and reliable robotic systems. Additionally, key players often form strategic partnerships and alliances with other technology companies, research institutions, and industry organizations. These collaborations facilitate knowledge exchange, access to complementary technologies, and the development of joint solutions that address specific market needs. Other than this, some companies pursue acquisitions and mergers to expand their product portfolios and market presence rapidly. By integrating innovative startups or complementary businesses, they can offer more comprehensive cloud robotics solutions to customers. Besides this, efforts to expand into new geographic regions and industry sectors are common strategies. Key players seek opportunities in emerging markets and niche segments, driving market growth and diversification. Moreover, customer-focused initiatives involve tailoring cloud robotics solutions to meet specific client needs. This approach enhances customer satisfaction and loyalty, often resulting in long-term partnerships.

The report provides a comprehensive analysis of the competitive landscape in the cloud robotics market with detailed profiles of all major companies, including:

• ABB Group
• Calvary Robotics
• CloudMinds
• FANUC Corporation
• inVia Robotics Inc.
• Kuka AG (Midea Group)
• Ortelio Ltd.
• Rapyuta Robotics Co. Ltd.
• Universal Robots A/S (Teradyne Inc.)
• V3 Smart Technologies
• Yaskawa Electric Corporation

Key Questions Answered in This Report

• 1.How big is the cloud robotics market?
• 2.What is the future outlook of cloud robotics market?
• 3.What are the key factors driving the cloud robotics market?
• 4.Which region accounts for the largest cloud robotics market share?
• 5.Which are the leading companies in the global cloud robotics market?

Table of Contents

1 Preface

2 Scope and Methodology

• 2.1 Objectives of the Study
• 2.2 Stakeholders
• 2.3 Data Sources
  • 2.3.1 Primary Sources
  • 2.3.2 Secondary Sources
• 2.4 Market Estimation
  • 2.4.1 Bottom-Up Approach
  • 2.4.2 Top-Down Approach
• 2.5 Forecasting Methodology

3 Executive Summary

4 Introduction

• 4.1 Overview
• 4.2 Key Industry Trends

5 Global Cloud Robotics Market

• 5.1 Market Overview
• 5.2 Market Performance
• 5.3 Impact of COVID-19
• 5.4 Market Forecast

6 Market Breakup by Component

• 6.1 Hardware
  • 6.1.1 Market Trends
  • 6.1.2 Market Forecast
• 6.2 Software
  • 6.2.1 Market Trends
  • 6.2.2 Market Forecast
• 6.3 Services
  • 6.3.1 Market Trends
  • 6.3.2 Market Forecast

7 Market Breakup by Connectivity

• 7.1 3G
  • 7.1.1 Market Trends
  • 7.1.2 Market Forecast
• 7.2 Bluetooth
  • 7.2.1 Market Trends
  • 7.2.2 Market Forecast
• 7.3 Wi-Fi
  • 7.3.1 Market Trends
  • 7.3.2 Market Forecast
• 7.4 4G
  • 7.4.1 Market Trends
  • 7.4.2 Market Forecast
• 7.5 5G
  • 7.5.1 Market Trends
  • 7.5.2 Market Forecast
• 7.6 RF
  • 7.6.1 Market Trends
  • 7.6.2 Market Forecast
• 7.7 Infrared
  • 7.7.1 Market Trends
  • 7.7.2 Market Forecast

8 Market Breakup by Deployment Mode

• 8.1 Public Cloud
  • 8.1.1 Market Trends
  • 8.1.2 Market Forecast
• 8.2 Private Cloud
  • 8.2.1 Market Trends
  • 8.2.2 Market Forecast
• 8.3 Hybrid Cloud
  • 8.3.1 Market Trends
  • 8.3.2 Market Forecast

9 Market Breakup by Application

• 9.1 Industrial Cloud Robotics
  • 9.1.1 Market Trends
  • 9.1.2 Market Forecast
• 9.2 Service Cloud Robotics
  • 9.2.1 Market Trends
  • 9.2.2 Market Forecast
• 9.3 Personal Service Cloud Robotics
  • 9.3.1 Market Trends
  • 9.3.2 Market Forecast

10 Market Breakup by Region

• 10.1 North America
  • 10.1.1 United States
    • 10.1.1.1 Market Trends
    • 10.1.1.2 Market Forecast
  • 10.1.2 Canada
    • 10.1.2.1 Market Trends
    • 10.1.2.2 Market Forecast
• 10.2 Asia-Pacific
  • 10.2.1 China
    • 10.2.1.1 Market Trends
    • 10.2.1.2 Market Forecast
  • 10.2.2 Japan
    • 10.2.2.1 Market Trends
    • 10.2.2.2 Market Forecast
  • 10.2.3 India
    • 10.2.3.1 Market Trends
    • 10.2.3.2 Market Forecast
  • 10.2.4 South Korea
    • 10.2.4.1 Market Trends
    • 10.2.4.2 Market Forecast
  • 10.2.5 Australia
    • 10.2.5.1 Market Trends
    • 10.2.5.2 Market Forecast
  • 10.2.6 Indonesia
    • 10.2.6.1 Market Trends
    • 10.2.6.2 Market Forecast
  • 10.2.7 Others
    • 10.2.7.1 Market Trends
    • 10.2.7.2 Market Forecast
• 10.3 Europe
  • 10.3.1 Germany
    • 10.3.1.1 Market Trends
    • 10.3.1.2 Market Forecast
  • 10.3.2 France
    • 10.3.2.1 Market Trends
    • 10.3.2.2 Market Forecast
  • 10.3.3 United Kingdom
    • 10.3.3.1 Market Trends
    • 10.3.3.2 Market Forecast
  • 10.3.4 Italy
    • 10.3.4.1 Market Trends
    • 10.3.4.2 Market Forecast
  • 10.3.5 Spain
    • 10.3.5.1 Market Trends
    • 10.3.5.2 Market Forecast
  • 10.3.6 Russia
    • 10.3.6.1 Market Trends
    • 10.3.6.2 Market Forecast
  • 10.3.7 Others
    • 10.3.7.1 Market Trends
    • 10.3.7.2 Market Forecast
• 10.4 Latin America
  • 10.4.1 Brazil
    • 10.4.1.1 Market Trends
    • 10.4.1.2 Market Forecast
  • 10.4.2 Mexico
    • 10.4.2.1 Market Trends
    • 10.4.2.2 Market Forecast
  • 10.4.3 Others
    • 10.4.3.1 Market Trends
    • 10.4.3.2 Market Forecast
• 10.5 Middle East and Africa
  • 10.5.1 Market Trends
  • 10.5.2 Market Breakup by Country
  • 10.5.3 Market Forecast

11 SWOT Analysis

• 11.1 Overview
• 11.2 Strengths
• 11.3 Weaknesses
• 11.4 Opportunities
• 11.5 Threats

12 Value Chain Analysis

13 Porters Five Forces Analysis

• 13.1 Overview
• 13.2 Bargaining Power of Buyers
• 13.3 Bargaining Power of Suppliers
• 13.4 Degree of Competition
• 13.5 Threat of New Entrants
• 13.6 Threat of Substitutes

14 Price Analysis

15 Competitive Landscape

• 15.1 Market Structure
• 15.2 Key Players
• 15.3 Profiles of Key Players
  • 15.3.1 ABB Group
    • 15.3.1.1 Company Overview
    • 15.3.1.2 Product Portfolio
    • 15.3.1.3 Financials
    • 15.3.1.4 SWOT Analysis
  • 15.3.2 Calvary Robotics
    • 15.3.2.1 Company Overview
    • 15.3.2.2 Product Portfolio
  • 15.3.3 CloudMinds
    • 15.3.3.1 Company Overview
    • 15.3.3.2 Product Portfolio
  • 15.3.4 FANUC Corporation
    • 15.3.4.1 Company Overview
    • 15.3.4.2 Product Portfolio
    • 15.3.4.3 Financials
    • 15.3.4.4 SWOT Analysis
  • 15.3.5 inVia Robotics Inc.
    • 15.3.5.1 Company Overview
    • 15.3.5.2 Product Portfolio
  • 15.3.6 Kuka AG (Midea Group)
    • 15.3.6.1 Company Overview
    • 15.3.6.2 Product Portfolio
    • 15.3.6.3 Financials
    • 15.3.6.4 SWOT Analysis
  • 15.3.7 Ortelio Ltd
    • 15.3.7.1 Company Overview
    • 15.3.7.2 Product Portfolio
  • 15.3.8 Rapyuta Robotics Co. Ltd.
    • 15.3.8.1 Company Overview
    • 15.3.8.2 Product Portfolio
  • 15.3.9 Universal Robots A/S (Teradyne Inc.)
    • 15.3.9.1 Company Overview
    • 15.3.9.2 Product Portfolio
  • 15.3.10 V3 Smart Technologies
    • 15.3.10.1 Company Overview
    • 15.3.10.2 Product Portfolio
  • 15.3.11 Yaskawa Electric Corporation
    • 15.3.11.1 Company Overview
    • 15.3.11.2 Product Portfolio
    • 15.3.11.3 Financials