The global Collaborative Robots in Manufacturing market size is predicted to grow from US$ 873 million in 2025 to US$ 1415 million in 2032; it is expected to grow at a CAGR of 6.6% from 2026 to 2032.

Collaborative Robots in Manufacturing refers to collaborative robots (cobots) deployed in manufacturing plants to perform production and shop-floor operations in close proximity to human workers under defined safety functions. These systems typically include the robot arm, controller, safety features, and application tooling (e.g., grippers, screwdrivers, dispensing valves, vision), and are used for tasks such as machine tending/loading & unloading, assembly and screwdriving, packaging, inspection/testing, polishing/grinding, welding, and palletizing/depalletizing. Compared with general-purpose cobots, manufacturing cobots emphasize stable takt time, repeatable accuracy, integration with industrial equipment and PLC/vision systems, and fast changeovers to support high-mix, variable production. In 2025, shipments of collaborative robots in manufacturing reached 74,125 units, with an average price of US$12,042 per unit.

Collaborative Robots in Manufacturing refer to collaborative robotic systems deployed in factory and shop-floor production environments that can operate in close proximity to human workers under defined safety functions. They are typically centered on 6-axis/7-axis single-arm collaborative manipulators, and are equipped with controllers, safety functions, teach-and-program software, and application tooling such as end effectors and vision systems. These systems enable flexible automation for typical manufacturing processes including machine tending/loading & unloading, assembly, screwdriving/screw fastening, dispensing, inspection, polishing and grinding, welding, and palletizing/depalletizing. From a statistical and market-definition perspective, this segment emphasizes deployment in ?manufacturing scenarios,? with the application boundary defined around plant production and shop-floor operations, distinct from non-manufacturing scenarios such as commercial services, medical and scientific research, and warehousing/distribution logistics. In terms of industry scale and growth drivers, manufacturing cobots are primarily driven by high-mix/low-volume production, labor cost and workforce volatility, rising requirements for quality consistency and traceability, and the need for flexible production-line upgrades. On the demand side, adoption has been particularly strong in electronics and semiconductors, automotive components and 3C assembly, metalworking and machining workshops, lithium-battery and PV manufacturing, and food and daily-chemical packaging. Among these, ?material handling/machine tending, assembly/screwdriving, packaging and palletizing/depalletizing, and inspection/testing? are the most readily replicable and scalable scenarios, while processes such as polishing/grinding, welding, and dispensing rely more heavily on application packages and accumulated on-site process know-how, and therefore exhibit a stronger project-based delivery profile. From a product and application structure perspective, manufacturing cobots can be segmented by payload and reach into light-, mid-, and higher-payload tiers, and are typically delivered through a modular ecosystem of ?robot body + end-effector tooling,? such as grippers/vacuum tools, electric screwdrivers, dispensing valves, welding torches, and cameras/vision systems. For manufacturing customers, selection decisions generally prioritize takt-time stability, repeatable positioning accuracy, integration capability with machine tools/production lines/PLC and vision systems, fast changeover capability, and fault self-diagnosis and remote operation & maintenance. In terms of delivery model, standalone robot sales are more common for standardized stations and customers with stronger secondary development capability, while ?standardized workcells/industry solutions? are more conducive to scalable replication and higher certainty of project delivery. From the perspective of cost structure, single-line capacity, and profitability, the system cost of manufacturing cobots is mainly composed of core components (reducers, servos and drives, controllers, encoders/sensing and safety components), structural parts machining, assembly and testing, software and application packages, end effectors, and integration and commissioning. Among these, performance consistency and supply stability of key components directly affect overall yield and delivery lead time. On the manufacturing side, assembly and burn-in testing of collaborative arms are one of the capacity bottlenecks; under mature processes, the annual capacity of a single assembly-and-test line is typically 1,000?3,000 units, depending on model changeover frequency, test duration, and the supply cadence of key components. In terms of margins, gross margin for the robot body is commonly 20%?35%; when combined with end effectors and software application packages and delivered as workcells/solutions, overall gross margin is typically 30%?45%. As price competition intensifies, body-level margins face greater pressure, whereas companies with stronger process packages and delivery systems are better positioned to sustain profitability through system-level delivery. From the perspective of value chain structure, competitive landscape, and development trends, upstream includes core component suppliers such as reducers, servo systems, controllers, sensors, and safety components; midstream comprises collaborative robot OEMs and software platforms/ecosystem partners; downstream consists of manufacturing end users and system integrators jointly driving deployment. Competitive focus is shifting from pure parameter benchmarking toward a comprehensive capability set spanning reliability and ease of use, accumulation of process packages, channel coverage and delivery efficiency, after-sales responsiveness, and full lifecycle operation and maintenance. Looking ahead, the sector is expected to evolve toward higher payload and higher protection levels, stronger vision and AI-based perception, faster deployment and lower programming thresholds, and deeper standardization of workcells and industry solutions. As manufacturing customers move from pilots to scaled replication, engineering capability centered on availability, takt time, and yield will become a decisive factor in gaining market share.

Infinity Market Research newest research report, the ?Collaborative Robots in Manufacturing Industry Forecast? looks at past sales and reviews total world Collaborative Robots in Manufacturing sales in 2025, providing a comprehensive analysis by region and market sector of projected Collaborative Robots in Manufacturing sales for 2026 through 2032. With Collaborative Robots in Manufacturing sales broken down by region, market sector and sub-sector, this report provides a detailed analysis in US$ millions of the world Collaborative Robots in Manufacturing industry.

This Insight Report provides a comprehensive analysis of the global Collaborative Robots in Manufacturing landscape and highlights key trends related to product segmentation, company formation, revenue, and market share, latest development, and M&A activity. This report also analyzes the strategies of leading global companies with a focus on Collaborative Robots in Manufacturing portfolios and capabilities, market entry strategies, market positions, and geographic footprints, to better understand these firms? unique position in an accelerating global Collaborative Robots in Manufacturing market.

This Insight Report evaluates the key market trends, drivers, and affecting factors shaping the global outlook for Collaborative Robots in Manufacturing and breaks down the forecast by Type, by Application, geography, and market size to highlight emerging pockets of opportunity. With a transparent methodology based on hundreds of bottom-up qualitative and quantitative market inputs, this study forecast offers a highly nuanced view of the current state and future trajectory in the global Collaborative Robots in Manufacturing.

This report presents a comprehensive overview, market shares, and growth opportunities of Collaborative Robots in Manufacturing market by product type, application, key manufacturers and key regions and countries.

Segmentation by Type:

    Below 5 kg
    5-10 kg
    More Than 10 kg
    Segmentation by Number of Joint Axes:
    4-axis
    6-axis
    7-axis
    Segmentation by Application Scenarios:
    Material Handling/Loading & Unloading
    Assembly
    Screwdriving/Screw Fastening
    Polishing & Grinding
    Depalletizing/Palletizing
    Dispensing/Gluing
    Welding
    Spraying/Coating
    Others

Segmentation by Application:

    Electronics
    Automobile
    Semiconductors
    Mechanical Processing

This report also splits the market by region:

    Americas
        United States
        Canada
        Mexico
        Brazil
    APAC
        China
        Japan
        Korea
        Southeast Asia
        India
        Australia
    Europe
        Germany
        France
        UK
        Italy
        Russia
    Middle East & Africa
        Egypt
        South Africa
        Israel
        Turkey
        GCC Countries

The below companies that are profiled have been selected based on inputs gathered from primary experts and analysing the companys coverage, product portfolio, its market penetration.

    Universal Robots
    FANUC
    Aubo (Beijing) Robotics Technology
    ABB
    JAKA Robotics
    KUKA
    Techman Robot
    Dobot
    Yaskawa Electric
    Guangdong Huayan Robotics
    Suzhou Elite Robot
    Doosan Robotics
    ROKAE
    Flexiv

Key Questions Addressed in this Report

What is the 10-year outlook for the global Collaborative Robots in Manufacturing market?
What factors are driving Collaborative Robots in Manufacturing market growth, globally and by region?
Which technologies are poised for the fastest growth by market and region?
How do Collaborative Robots in Manufacturing market opportunities vary by end market size?
How does Collaborative Robots in Manufacturing break out by Type, by Application?