Collaborative Robot Market
Collaborative Robot Market Forecasts to 2030 - Global Analysis By Component (Hardware, Software and Services), Payload Capacity (Up to 5 kg, 5-10 kg and Above 10 kg), Application, End User and By Geography
According to Stratistics MRC, the Global Collaborative Robot Market is accounted for $2.01 billion in 2024 and is expected to reach $12.23 billion by 2030 growing at a CAGR of 36.4% during the forecast period. A collaborative robot, or cobot, is a type of robotic system designed to work safely alongside human workers in shared spaces, enhancing productivity and flexibility. Cobots are typically lightweight, user-friendly, and equipped with advanced sensors, force control, and programming interfaces to ensure safe interactions. Their collaborative nature enables faster deployment, reduced setup costs, and adaptability to various tasks, making them ideal for small to medium-sized businesses.
According to the IFR, robots for domestic tasks constituted the largest group of consumer robots and were anticipated to reach 48.6 million by 2023, respectively.
Market Dynamics:
Driver:
Increased workplace safety
Cobots are designed with advanced sensors, force-limiting capabilities, and AI-powered monitoring systems that allow them to work alongside humans safely. They take on hazardous, repetitive, or physically demanding tasks, reducing the risk of workplace injuries and minimizing human exposure to dangerous environments. This safety enhancement is particularly appealing in industries like manufacturing, logistics, and healthcare, where worker safety is a priority. As companies strive to create safer work environments, the demand for cobots rises, leading to widespread adoption and further market growth.
Restraint:
High initial investment costs
High initial investment costs in the collaborative robot (cobot) market arise from expenses related to advanced technology, integration, programming, and safety compliance. Cobots require sensors, AI-driven software, and custom applications tailored to specific industries, which drives up costs. Additionally, integration into existing workflows and training for operators can be costly. These high upfront expenses deter potential buyers, slowing market growth as companies may delay or forgo adoption due to budget constraints.
Opportunity:
Advances in AI and machine learning
AI enables cobots to perform more complex, precise tasks with improved accuracy and faster response times, making them suitable for intricate processes across industries. Machine learning allows cobots to learn from data and past experiences, enabling predictive maintenance, error reduction, and continuous optimization. These advancements also improve cobot safety by enhancing perception and response in dynamic environments. As AI-driven cobots become smarter and more versatile, they attract industries seeking flexible, autonomous, and intelligent automation solutions.
Threat:
Concerns over job displacement
Concerns over job displacement arise as cobots automate tasks traditionally performed by humans, especially in sectors with repetitive, manual work. This can lead to fears of reduced employment opportunities, particularly in lower-skilled roles. Additionally, industries may face regulatory scrutiny or public backlash against widespread adoption. Such concerns may hinder cobot market growth as workers, labor unions, and policymakers resist automation due to its perceived social and economic impact.
Covid-19 Impact
The covid-19 pandemic accelerated the demand for cobots as companies sought automation solutions to address labor shortages, health concerns, and supply chain disruptions. Cobots became valuable in maintaining production with minimal human interaction, especially in sectors like e-commerce, manufacturing, and healthcare. They enabled social distancing on production lines and facilitated rapid scaling of operations. Post-pandemic, this demand remains strong as industries recognize cobots' role in enhancing efficiency, flexibility, and resilience against future disruptions.
The material handling segment is expected to be the largest during the forecast period
The material handling segment is predicted to secure the largest market share throughout the forecast period. In material handling applications, cobots are transforming workflows by efficiently automating repetitive and physically demanding tasks, such as sorting, loading, and palletizing. Cobots improve workplace safety by handling heavy loads, reducing the risk of strain-related injuries for human workers. Cobots’ ability to work alongside humans without extensive safety barriers further streamlines processes, making them ideal for small to medium enterprises seeking efficient, scalable automation.
The electronics segment is expected to have the highest CAGR during the forecast period
The electronics segment is anticipated to witness the highest CAGR during the forecast period. In electronics manufacturing, cobots play a key role in handling precise, repetitive tasks like assembling circuit boards, soldering, testing, and packaging. Their accuracy and ability to work safely alongside human operators make cobots ideal for delicate electronic components, reducing errors and increasing productivity. This allows for faster adaptation to rapid changes in technology and demand, supporting lean manufacturing and shorter production cycles, essential in the fast-evolving electronics industry.
Region with largest share:
Asia Pacific is expected to register the largest market share during the forecast period driven by increasing industrial automation, labor shortages, and government support for advanced manufacturing. Key countries like China, Japan, and South Korea are major adopters, with industries such as electronics, automotive, and consumer goods leading cobot integration. The demand for improved productivity, quality, and safety is fueling cobot adoption, positioning Asia-Pacific as a prominent market for collaborative robotics expansion.
Region with highest CAGR:
North America is projected to witness the highest CAGR over the forecast period driven by the need for automation across industries like manufacturing, logistics, and healthcare. The U.S. leads the region, with increased adoption in sectors such as automotive, electronics, and food processing. The emphasis on worker safety and the flexibility of cobots to operate alongside humans further boosts their appeal, positioning North America as a key region for cobot market growth.
Key players in the market
Some of the key players profiled in the Collaborative Robot Market include ABB Limited, KUKA AG, Yaskawa Electric Corporation, Universal Robots, FANUC Corporation, Denso Corporation, Kawasaki Heavy Industries Limited, Nachi-Fujikoshi Corporation, Doosan Robotics, Mitsubishi Electric Corporation, Omron Corporation, Franka Emika GmbH, Stäubli International AG, AUBO Robotics, Precise Automation Inc., Rethink Robotics, Techman Robot Inc., F&P Robotics AG, Comau SpA, Elephant Robotics.
Key Developments:
In June 2024, Universal Robots introduced the UR20 cobot at Automatica 2024. The UR20 is high-payload cobot capable of handling loads up to 20 kg. The UR20 features a larger reach of 1750 mm (compared to previous models), which allows it to cover a broader workspace and handle tasks involving larger parts or materials. The UR20 also incorporates energy efficiency features and advanced safety protocols that enable it to work safely alongside human operators in shared workspaces.
In February 2024, ABB launched the ABB SWIFTI CRB 1300, a high-speed collaborative robot (cobot) optimized for light assembly and machine-tending tasks. It offers a standout combination of speed and payload capabilities, able to handle up to 11 kg, setting it apart in its class for tasks that require rapid and repetitive movements. The CRB 1300 merges ABB’s signature speed and precision with enhanced safety features, making it suitable for shared workspaces.
Components Covered:
• Hardware
• Software
• Services
Payload Capacities Covered:
• Up to 5 kg
• 5–10 kg
• Above 10 kg
Applications Covered:
• Material Handling
• Assembly
• Quality Testing & Inspection
• Welding & Soldering
• Painting & Dispensing
• Pick & Place
• Other Applications
End Users Covered:
• Automotive
• Electronics
• Food & Beverage
• Healthcare
• Aerospace
• Other End Users
Regions Covered:
• North America
o US
o Canada
o Mexico
• Europe
o Germany
o UK
o Italy
o France
o Spain
o Rest of Europe
• Asia Pacific
o Japan
o China
o India
o Australia
o New Zealand
o South Korea
o Rest of Asia Pacific
• South America
o Argentina
o Brazil
o Chile
o Rest of South America
• Middle East & Africa
o Saudi Arabia
o UAE
o Qatar
o South Africa
o Rest of Middle East & Africa
What our report offers:
- Market share assessments for the regional and country-level segments
- Strategic recommendations for the new entrants
- Covers Market data for the years 2022, 2023, 2024, 2026, and 2030
- Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
- Strategic recommendations in key business segments based on the market estimations
- Competitive landscaping mapping the key common trends
- Company profiling with detailed strategies, financials, and recent developments
- Supply chain trends mapping the latest technological advancements
Free Customization Offerings:
All the customers of this report will be entitled to receive one of the following free customization options:
• Company Profiling
o Comprehensive profiling of additional market players (up to 3)
o SWOT Analysis of key players (up to 3)
• Regional Segmentation
o Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
• Competitive Benchmarking
o Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances
Table of Contents
1 Executive Summary
2 Preface
2.1 Abstract
2.2 Stake Holders
2.3 Research Scope
2.4 Research Methodology
2.4.1 Data Mining
2.4.2 Data Analysis
2.4.3 Data Validation
2.4.4 Research Approach
2.5 Research Sources
2.5.1 Primary Research Sources
2.5.2 Secondary Research Sources
2.5.3 Assumptions
3 Market Trend Analysis
3.1 Introduction
3.2 Drivers
3.3 Restraints
3.4 Opportunities
3.5 Threats
3.6 Application Analysis
3.7 End User Analysis
3.8 Emerging Markets
3.9 Impact of Covid-19
4 Porters Five Force Analysis
4.1 Bargaining power of suppliers
4.2 Bargaining power of buyers
4.3 Threat of substitutes
4.4 Threat of new entrants
4.5 Competitive rivalry
5 Global Collaborative Robot Market, By Component
5.1 Introduction
5.2 Hardware
5.2.1 Robotic Arm
5.2.2 End-of-Arm Tooling (EOAT)
5.2.3 Controllers
5.2.4 Sensors
5.2.5 Drives
5.2.6 Vision Systems
5.3 Software
5.3.1 Monitoring & Diagnostics Software
5.3.2 Programming Software
5.3.3 Human-Machine Interface (HMI) Software
5.3.4 Safety Monitoring Software
5.3.5 Simulation Software
5.4 Services
5.4.1 Software and Hardware Upgrades
5.4.2 Post-Sales Support Services
5.4.3 Robot-as-a-Service (RaaS)
6 Global Collaborative Robot Market, By Payload Capacity
6.1 Introduction
6.2 Up to 5 kg
6.3 5–10 kg
6.4 Above 10 kg
7 Global Collaborative Robot Market, By Application
7.1 Introduction
7.2 Material Handling
7.3 Assembly
7.4 Quality Testing & Inspection
7.5 Welding & Soldering
7.6 Painting & Dispensing
7.7 Pick & Place
7.8 Other Applications
8 Global Collaborative Robot Market, By End User
8.1 Introduction
8.2 Automotive
8.3 Electronics
8.4 Food & Beverage
8.5 Healthcare
8.6 Aerospace
8.7 Other End Users
9 Global Collaborative Robot Market, By Geography
9.1 Introduction
9.2 North America
9.2.1 US
9.2.2 Canada
9.2.3 Mexico
9.3 Europe
9.3.1 Germany
9.3.2 UK
9.3.3 Italy
9.3.4 France
9.3.5 Spain
9.3.6 Rest of Europe
9.4 Asia Pacific
9.4.1 Japan
9.4.2 China
9.4.3 India
9.4.4 Australia
9.4.5 New Zealand
9.4.6 South Korea
9.4.7 Rest of Asia Pacific
9.5 South America
9.5.1 Argentina
9.5.2 Brazil
9.5.3 Chile
9.5.4 Rest of South America
9.6 Middle East & Africa
9.6.1 Saudi Arabia
9.6.2 UAE
9.6.3 Qatar
9.6.4 South Africa
9.6.5 Rest of Middle East & Africa
10 Key Developments
10.1 Agreements, Partnerships, Collaborations and Joint Ventures
10.2 Acquisitions & Mergers
10.3 New Product Launch
10.4 Expansions
10.5 Other Key Strategies
11 Company Profiling
11.1 ABB Limited
11.2 KUKA AG
11.3 Yaskawa Electric Corporation
11.4 Universal Robots
11.5 FANUC Corporation
11.6 Denso Corporation
11.7 Kawasaki Heavy Industries Limited
11.8 Nachi-Fujikoshi Corporation
11.9 Doosan Robotics
11.10 Mitsubishi Electric Corporation
11.11 Omron Corporation
11.12 Franka Emika GmbH
11.13 Stäubli International AG
11.14 AUBO Robotics
11.15 Precise Automation Inc.
11.16 Rethink Robotics
11.17 Techman Robot Inc.
11.18 F&P Robotics AG
11.19 Comau SpA
11.20 Elephant Robotics
List of Tables
1 Global Collaborative Robot Market Outlook, By Region (2022-2030) ($MN)
2 Global Collaborative Robot Market Outlook, By Component (2022-2030) ($MN)
3 Global Collaborative Robot Market Outlook, By Hardware (2022-2030) ($MN)
4 Global Collaborative Robot Market Outlook, By Robotic Arm (2022-2030) ($MN)
5 Global Collaborative Robot Market Outlook, By End-of-Arm Tooling (EOAT) (2022-2030) ($MN)
6 Global Collaborative Robot Market Outlook, By Controllers (2022-2030) ($MN)
7 Global Collaborative Robot Market Outlook, By Sensors (2022-2030) ($MN)
8 Global Collaborative Robot Market Outlook, By Drives (2022-2030) ($MN)
9 Global Collaborative Robot Market Outlook, By Vision Systems (2022-2030) ($MN)
10 Global Collaborative Robot Market Outlook, By Software (2022-2030) ($MN)
11 Global Collaborative Robot Market Outlook, By Monitoring & Diagnostics Software (2022-2030) ($MN)
12 Global Collaborative Robot Market Outlook, By Programming Software (2022-2030) ($MN)
13 Global Collaborative Robot Market Outlook, By Human-Machine Interface (HMI) Software (2022-2030) ($MN)
14 Global Collaborative Robot Market Outlook, By Safety Monitoring Software (2022-2030) ($MN)
15 Global Collaborative Robot Market Outlook, By Simulation Software (2022-2030) ($MN)
16 Global Collaborative Robot Market Outlook, By Services (2022-2030) ($MN)
17 Global Collaborative Robot Market Outlook, By Software and Hardware Upgrades (2022-2030) ($MN)
18 Global Collaborative Robot Market Outlook, By Post-Sales Support Services (2022-2030) ($MN)
19 Global Collaborative Robot Market Outlook, By Robot-as-a-Service (RaaS) (2022-2030) ($MN)
20 Global Collaborative Robot Market Outlook, By Payload Capacity (2022-2030) ($MN)
21 Global Collaborative Robot Market Outlook, By Up to 5 kg (2022-2030) ($MN)
22 Global Collaborative Robot Market Outlook, By 5–10 kg (2022-2030) ($MN)
23 Global Collaborative Robot Market Outlook, By Above 10 kg (2022-2030) ($MN)
24 Global Collaborative Robot Market Outlook, By Application (2022-2030) ($MN)
25 Global Collaborative Robot Market Outlook, By Material Handling (2022-2030) ($MN)
26 Global Collaborative Robot Market Outlook, By Assembly (2022-2030) ($MN)
27 Global Collaborative Robot Market Outlook, By Quality Testing & Inspection (2022-2030) ($MN)
28 Global Collaborative Robot Market Outlook, By Welding & Soldering (2022-2030) ($MN)
29 Global Collaborative Robot Market Outlook, By Painting & Dispensing (2022-2030) ($MN)
30 Global Collaborative Robot Market Outlook, By Pick & Place (2022-2030) ($MN)
31 Global Collaborative Robot Market Outlook, By Other Applications (2022-2030) ($MN)
32 Global Collaborative Robot Market Outlook, By End User (2022-2030) ($MN)
33 Global Collaborative Robot Market Outlook, By Automotive (2022-2030) ($MN)
34 Global Collaborative Robot Market Outlook, By Electronics (2022-2030) ($MN)
35 Global Collaborative Robot Market Outlook, By Food & Beverage (2022-2030) ($MN)
36 Global Collaborative Robot Market Outlook, By Healthcare (2022-2030) ($MN)
37 Global Collaborative Robot Market Outlook, By Aerospace (2022-2030) ($MN)
38 Global Collaborative Robot Market Outlook, By Other End Users (2022-2030) ($MN)
Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.
List of Figures
RESEARCH METHODOLOGY
We at ‘Stratistics’ opt for an extensive research approach which involves data mining, data validation, and data analysis. The various research sources include in-house repository, secondary research, competitor’s sources, social media research, client internal data, and primary research.
Our team of analysts prefers the most reliable and authenticated data sources in order to perform the comprehensive literature search. With access to most of the authenticated data bases our team highly considers the best mix of information through various sources to obtain extensive and accurate analysis.
Each report takes an average time of a month and a team of 4 industry analysts. The time may vary depending on the scope and data availability of the desired market report. The various parameters used in the market assessment are standardized in order to enhance the data accuracy.
Data Mining
The data is collected from several authenticated, reliable, paid and unpaid sources and is filtered depending on the scope & objective of the research. Our reports repository acts as an added advantage in this procedure. Data gathering from the raw material suppliers, distributors and the manufacturers is performed on a regular basis, this helps in the comprehensive understanding of the products value chain. Apart from the above mentioned sources the data is also collected from the industry consultants to ensure the objective of the study is in the right direction.
Market trends such as technological advancements, regulatory affairs, market dynamics (Drivers, Restraints, Opportunities and Challenges) are obtained from scientific journals, market related national & international associations and organizations.
Data Analysis
From the data that is collected depending on the scope & objective of the research the data is subjected for the analysis. The critical steps that we follow for the data analysis include:
- Product Lifecycle Analysis
- Competitor analysis
- Risk analysis
- Porters Analysis
- PESTEL Analysis
- SWOT Analysis
The data engineering is performed by the core industry experts considering both the Marketing Mix Modeling and the Demand Forecasting. The marketing mix modeling makes use of multiple-regression techniques to predict the optimal mix of marketing variables. Regression factor is based on a number of variables and how they relate to an outcome such as sales or profits.
Data Validation
The data validation is performed by the exhaustive primary research from the expert interviews. This includes telephonic interviews, focus groups, face to face interviews, and questionnaires to validate our research from all aspects. The industry experts we approach come from the leading firms, involved in the supply chain ranging from the suppliers, distributors to the manufacturers and consumers so as to ensure an unbiased analysis.
We are in touch with more than 15,000 industry experts with the right mix of consultants, CEO's, presidents, vice presidents, managers, experts from both supply side and demand side, executives and so on.
The data validation involves the primary research from the industry experts belonging to:
- Leading Companies
- Suppliers & Distributors
- Manufacturers
- Consumers
- Industry/Strategic Consultants
Apart from the data validation the primary research also helps in performing the fill gap research, i.e. providing solutions for the unmet needs of the research which helps in enhancing the reports quality.
For more details about research methodology, kindly write to us at info@strategymrc.com
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