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Collaborative Robots Market Set for Rapid Expansion Through 2031 Driven by AI Integration and Mobile Cobots

Collaborative robots market analysis highlighting growth drivers, key trends, segmentation, regional outlook, and forecast to 2031
Published 20 January 2026

New York, US – The collaborative robots market continues to transform manufacturing and logistics landscapes worldwide, enabling safer human-robot teamwork and boosting efficiency in dynamic work environments.

Market Surge and Key Drivers

Collaborative robots, or cobots, empower workers by handling repetitive tasks while humans focus on creative problem-solving. Recent advancements like enhanced safety features in new cobot series highlight how these machines adapt to diverse industries from automotive to electronics. Major announcements at CES 2026 showcased human-centered AI robotics strategies, pushing toward physical AI integration in collaborative robots.

Market Size, Share, Trends, Analysis, and Forecast by 2031

·        Global Overview: The collaborative robots market reached significant scale recently and projects strong expansion by 2031, growing at high CAGRs fueled by manufacturing expansion and government robotics initiatives. The collaborative robots market size is projected to reach US$ 14.67 billion by 2031 from US$ 1.88 billion in 2024. The market is expected to register a CAGR of 35.7% during 2025–2031. Mobile collaborative robots are likely to bring in new trends in the market.

·        Market Share Leaders: Automotive leads due to assembly and welding needs; electronics follows for precision handling; Asia Pacific holds the largest regional share.

·        Key Trends: Rise of mobile cobots paired with AMRs/AGVs; AI and vision integration for smarter tasks; shift to Robotics-as-a-Service (RaaS) subscriptions lowering entry barriers for SMEs; focus on healthcare and logistics automation.

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Market Segmentation Analysis

Payload refers to the maximum weight a robot can safely carry or handle.

Up to 5 Kgs

  • Designed for lightweight tasks
  • Common in electronics, pharmaceuticals, and food packaging
  • Advantages: high speed, precision, lower cost
  • Examples: small parts assembly, inspection, pick-and-place of tiny components

 5–10 Kgs

  • Suitable for medium-load applications
  • Widely used in automotive sub-assembly and electronics
  • Balances speed and strength
  • Examples: handling tools, components, small machine parts

Above 10 Kgs

  • Used for heavy-duty industrial operations
  • Common in automotive, metal, and machinery industries
  • Built for strength and durability
  • Examples: welding, palletizing, heavy material handling

By Application

This classification is based on how the robot is used in operations.

Assembly

  • Robots assemble components with high accuracy
  • Reduces human error and improves consistency
  • Common in automotive and electronics manufacturing

Pick and Place

  • Involves picking items from one location and placing them in another
  • High-speed and repetitive
  • Used in packaging, sorting, and electronics

 Material Handling

  • Moving raw materials or finished goods within a facility
  • Improves workflow efficiency and safety
  • Used in warehouses and factories

Quality Testing

  • Robots inspect products for defects using sensors and vision systems
  • Ensures uniform quality and reduces inspection time
  • Used in electronics and pharmaceuticals

Machine Tending

  • Robots load and unload machines like CNCs and presses
  • Minimizes downtime and improves productivity
  • Common in metal and automotive industries

 Welding

  • Robots perform spot or arc welding
  • Provides consistent weld quality and enhances worker safety
  • Widely used in automotive manufacturing

By End-User Industry

Categorizes robots based on industries using them.

Automotive

  • Heavy use for assembly, welding, painting, and material handling
  • Focus on precision and large payload capacity

Electronics

  • Requires high accuracy for small and delicate components
  • Used in assembly, inspection, and pick-and-place tasks

Metal and Machinery

  • Robots handle cutting, welding, and machine tending
  • Designed for harsh industrial environments

Food and Beverage

  • Emphasis on hygiene, speed, and consistency
  • Used in packaging, sorting, and palletizing

By Functionality

Classifies robots based on mobility and operation style.

Static Robot

  • Fixed in one location
  • Performs repetitive tasks within a defined workspace
  • Common in assembly lines and welding stations

Mobile Robot

  • Can move autonomously within facilities
  • Enhances flexibility and reduces manual transport
  • Used in warehouses, logistics, and large manufacturing plants

Global and Regional Analysis

Asia Pacific: Fastest-growing region, led by China’s manufacturing initiatives, Japan’s auto sector, and India’s push amid rising labor costs.

Europe: Largest historical share with strong growth in EVs and premiums like Germany’s Industry 4.0 framework.

North America: Early adoption drives expansion in reshoring and smart factories.

Other Regions: Latin America, Middle East & Africa see moderate growth from infrastructure; South Korea invests heavily in intelligent robots.

Top Key Player Operating Collaborative Robots Market

  • Kuka AG
  • Yaskawa America Inc
  • Aubo (Beijing) Robotics Technology Co Ltd
  • Doosan Robotics Inc
  • Fanuc Corp
  • ABB Ltd
  • Rethink Robotics GmbH
  • Techman Robot Inc
  • Kawasaki Heavy Industries Ltd
  • Bosch Rexroth AG

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Updated Industry News

Fresh developments underscore cobot momentum. Forecasts predict a strong recovery with shipments growing steadily through 2029, driven by warehouse automation. Expansions in logistics cobots feature AI-powered picking modules tested by retail leaders. AI accelerators speed up cobot app development, while new facilities ramp up production and heavy-payload models expand capabilities.

Future Outlook

Cobot adoption promises flexible factories where people and machines thrive together. Governments worldwide back this shift through automation programs. As interoperability improves, cobots will redefine productivity without replacing jobs.

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