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Collaborative Pick And Place Robot Market

The market for Collaborative Pick And Place Robot was estimated at $768 million in 2024; it is anticipated to increase to $1.13 billion by 2030, with projections indicating growth to around $1.57 billion by 2035.

Report ID:DS1401244
Author:Swarup Sahu - Senior Consultant
Published Date:
Datatree
Industrial Tools & Machinery
Production Tools & Equipment
Collaborative Pick And Place Robot
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Report Summary
Market Data
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Table of Contents

Global Collaborative Pick And Place Robot Market Outlook

Revenue, 2024

$768M

Forecast, 2034

$1.47B

CAGR, 2025 - 2034

6.7%

The Collaborative Pick And Place Robot industry revenue is expected to be around $819.3 million in 2025 and expected to showcase growth with 6.7% CAGR between 2025 and 2034. The remarkable expansion can be credited to the rising use of Collaborative Pick and Place Robots in industries today's world. Reasons like an increase in labor expenses and a growing emphasis, on workplace safety have contributed to its continued importance. Additionally Furthermore Moreover the capacity of these robots to enhance operational effectiveness through precision and quickness has solidified their importance in contemporary manufacturing practices. With its cutting edge sensor technology and creative software design, Collaborative Pick and Place Robot minimizes the chances of mistakes and significantly cuts down on the time spent on repetitive duties.

Collaborative Pick and Place Robots offer an advantage due to their seamless incorporation into current production setups with little interference required. A factor that appeals to industries, across automotive, electronics, e commerce, food and beverage and pharmaceutical sectors. The growing interest is evident as businesses embrace factory automation, adoption of smart technology devices and the ongoing Industry 4.0.

Collaborative Pick And Place Robot market outlook with forecast trends, drivers, opportunities, supply chain, and competition 2024-2034
Collaborative Pick And Place Robot Market Outlook

Market Key Insights

  • The Collaborative Pick And Place Robot market is projected to grow from $767.9 million in 2024 to $1.47 billion in 2034. This represents a CAGR of 6.7%, reflecting rising demand across Packaging, Assembly, and Warehousing.

  • ABB Ltd., KUKA AG, Rethink Robotics are among the leading players in this market, shaping its competitive landscape.

  • U.S. and Germany are the top markets within the Collaborative Pick And Place Robot market and are expected to observe the growth CAGR of 4.4% to 6.4% between 2024 and 2030.

  • Emerging markets including India, Brazil and South Africa are expected to observe highest growth with CAGR ranging between 7.7% to 9.2%.

  • Transition like Advancements in AI Technology has greater influence in U.S. and Germany market's value chain; and is expected to add $30 million of additional value to Collaborative Pick And Place Robot industry revenue by 2030.

  • The Collaborative Pick And Place Robot market is set to add $701 million between 2024 and 2034, with manufacturer targeting Assembly & Warehousing Application projected to gain a larger market share.

  • With

    technological advancements in ai, and

    Government Initiatives for Industry 4.0, Collaborative Pick And Place Robot market to expand 91% between 2024 and 2034.

collaborative pick and place robot market size with pie charts of major and emerging country share, CAGR, trends for 2025 and 2032
Collaborative Pick And Place Robot - Country Share Analysis

Opportunities in the Collaborative Pick And Place Robot

Forming partnerships with tech firms to integrate AI and ML abilities can also significantly boost the appeal, for Collaborative Pick and Place Robots.

Growth Opportunities in North America and Europe

In North America's market for Collaborative Pick and Place Robots has become strong due to the use of cutting edge technologies in Canada and the United States Automation is on the rise across different sectors like automotive electronics and packaging providing significant opportunities for these robots competition is tough, with leading companies concentrating on innovation to maintain a competitive edge The market is growing due to factors like the software advancements and improved understanding abilities. Additionally reduced deployment costs are also playing a role, in driving this growth.
Europe is seen as a market for Collaborative Pick and Place Robots with countries like Germany and the United Kingdom witnessing increased demand in industries such as automotive and manufacturing due to the rise of Industry 4. This has led to a surge in opportunities for these robots. has attracted global companies, with strong research and development capabilities to drive technological advancements quickly in this competitive landscape. Cutting edge sensor technologies with load bearing capacities and advanced safety features are significant factors fueli​ng advancements, in the European region.

Market Dynamics and Supply Chain

01

Driver: Rising Demand for Flexible Automation and Workforce Augmentation in Smart Manufacturing

The growing need for flexible automation and workforce augmentation is also a key driver for the collaborative pick and place robot market. First, manufacturers across packaging, assembly, and warehousing sectors are also shifting toward adaptable automation to handle varied product lines and rapid changeovers. Unlike traditional industrial robots, collaborative robots (cobots) offer easy programming, quick redeployment, and safe human interaction, making them ideal for high‑mix, low‑volume production environments. Companies like Universal Robots and Techman Robot lead with intuitive interfaces and modular end‑effectors that support diverse pick and place tasks, enhancing throughput without extensive engineering support. Second, many industries face labor shortages and rising wages, prompting adoption of cobots as workforce augmentation tools rather than replacements. Cobots help alleviate repetitive strain tasks, allowing human workers to focus on complex decision‑making while improving ergonomics and job satisfaction. This trend is also particularly visible in electronics assembly lines where delicate parts require precision and in warehouses where fluctuating order volumes demand scalable automation. Together, flexible automation needs and workforce optimization are also accelerating collaborative robot integration, driving market expansion and reshaping modern production and logistics strategies.
A key driver for collaborative pick and place robots is also the integration of advanced vision systems and AI‑enabled gripping technologies. Modern cobots equipped with 2D/3D vision, machine learning algorithms, and adaptive gripping solutions can also identify, orient, and handle a wide range of objects with high accuracy. This capability enhances performance in dynamic environments like e‑commerce fulfillment centers, food packaging lines, and small parts assembly, enabling seamless object recognition and reducing reliance on fixed fixtures.
02

Restraint: High Initial Costs and Integration Complexity Deter Small and Medium Enterprises

One major restraint for collaborative pick and place robots is the high initial cost and integration complexity that many small and medium enterprises (SMEs struggle to justify. Although cobots are more affordable than traditional robots, upfront investment in robots, vision systems, and safety infrastructure can be significant. For example, a local packaging operation may delay automation due to budget constraints, reducing immediate demand and slowing revenue growth in cost‑sensitive segments.
03

Opportunity: Revolutionizing Assembly Lines and Enhancing E-Commerce Warehousing

Collaborative Pick and Place Robots are set to transform manufacturing assembly lines in a way. These robots have the potential to work together smoothly with humans creating opportunities in manufacturing, aerospace and automotive industries where accuracy, efficiency and safety are crucial. By targeting areas such as Small and Medium Enterprises and introducing these robots into production lines there is a chance to greatly improve cost effectiveness, productivity and overall quality paving the way for substantial growth, in this groundbreaking technology.
The expanding e commerce sector indicates a bright future for Collaborative Pick and Place Robots within warehousing operations as they handle goods with care and efficiency to enhance sorting and shipping processes while saving costs and time significantly. The rising demand for deliveries, from customers further boosts the adoption of automated pick and place solutions that operate at high speeds.
04

Challenge: Workforce Skill Gaps and Limited Technical Expertise Hinder Adoption and Optimization

Another ongoing challenge is the shortage of skilled operators and technical expertise needed to deploy and optimize collaborative robots effectively. Cobots require proper programming, vision training, and maintenance to deliver peak performance, but many manufacturers lack in‑house robotics engineers. For instance, a warehouse may underutilize its pick and place cobots due to staff skill gaps, leading to higher downtime and less efficient automation, which negatively impacts market expansion and slows overall adoption.

Supply Chain Landscape

1

Component Suppliers

Samsung ElectronicsLG Innotek
2

Assembly & Manufacturing

FanucUniversal Robots
3

Distribution Network

RS ComponentsSysco Corporation
4

End Users

AutomobileElectronicsFood packaging
Collaborative Pick And Place Robot - Supply Chain

Use Cases of Collaborative Pick And Place Robot in Packaging & Assembly

Packaging : In packaging, collaborative pick and place robots such as lightweight cobots with suction grippers and adaptive end‑effectors are widely used to handle products, trays, and packaging materials on fast‑moving lines. These robots from industry leaders like Universal Robots, Fanuc CR Series, and Yaskawa MotoMini improve throughput while working safely alongside human operators. Their strengths include easy programming, flexible deployment for varied product formats, and reduced changeover time. With integrated vision systems and force sensing, collaborative robots ensure consistent placement and reduce damages, making them ideal for food, consumer goods, and e‑commerce packaging operations.
Assembly : In assembly, collaborative pick and place robots with precision electric or vacuum end‑effectors support tasks such as component insertion, fastening, and sub‑assembly handling. Cobots from KUKA LBR iiwa, ABB YuMi, and Techman Robot are popular for their sensitive force control and intuitive interfaces that help manufacturers transition from manual to automated cells with minimal training. Their ability to work safely alongside humans enhances flexibility on mixed‑model production lines, especially in electronics, automotive parts, and small appliance assembly, improving quality and reducing operator fatigue.
Warehousing : In warehousing, collaborative pick and place robots equipped with smart vision and gripping tools assist in order fulfillment, sorting, and palletizing tasks. Solutions from MiR (Mobile Industrial Robots) integrated with collaborative arms and companies like Fetch Robotics optimize workflows in distribution centers by combining autonomous navigation with accurate bin picking. These systems help reduce labor bottlenecks, increase accuracy in SKU handling, and enhance operational efficiency. Their user‑friendly setup and adaptability make them attractive for both large logistics providers and small third‑party logistics (3PL) operators.

Recent Developments

Recent developments in collaborative pick and place robots focus on smart automation, AI‑enabled vision systems, and deeper integration with Industry 4.0 workflows to improve pick accuracy, real‑time sensing, and adaptive control. A key market trend is the deployment of connected cobots that enhance production flexibility, order fulfillment efficiency, and human‑robot collaboration in packaging, assembly, and warehousing. These advancements boost operational throughput, reduce downtime, and support scalable, data‑driven manufacturing.

December 2024 : A known company, in the robotics industry called ABB introduced a cutting edge Collaborative Pick and Place Robot that utilizes advanced AI technology to enhance accuracy and productivity in its operations.
October 2024 : Fanuc revealed improvements, to their range of Collaborative Pick and Place Robots by incorporating advanced visual recognition features.
August 2024 : Universal Robots introduced a Collaborative Pick and Place Robot that offers high speed performance for complex assembly lines, across various industries.

Impact of Industry Transitions on the Collaborative Pick And Place Robot Market

As a core segment of the Production Tools & Equipment industry, the Collaborative Pick And Place Robot market develops in line with broader industry shifts. Over recent years, transitions such as Advancements in AI Technology and Arrival of Industry 4.0 have redefined priorities across the Production Tools & Equipment sector, influencing how the Collaborative Pick And Place Robot market evolves in terms of demand, applications and competitive dynamics. These transitions highlight the structural changes shaping long-term growth opportunities.
01

Advancements in AI Technology

The changing field of AI has revolutionized various industries and the realm of Collaborative Pick and Place Robots is no different. There has been an advancement in robot programming and capabilities due to more advanced algorithms. AI has enabled these robots to acquire the ability to learn and anticipate movements effectively resulting in a considerable boost, to efficiency and productivity. The utilization of these robots has had an impact across various industries such as automotive electronics and e commerce as companies are embracing them to enhance their warehouse operations and inventory control systems effectively. These advancements have enabled the Collaborative Pick and Place Robot to operate and make real time decisions showcasing the shift, from basic automation to intelligent automation.
02

Arrival of Industry 4.0

The collaborative pick and place robot industry has been significantly transformed by Industry 4.0, emphasizing smart, connected, and flexible automation. With advanced sensors, IoT connectivity, and real-time data analytics, these robots can operate safely alongside human workers while optimizing workflows. In warehousing, cobots now coordinate with autonomous mobile robots to improve order fulfillment efficiency, while in assembly lines, they adapt to varying product models without extensive reprogramming. In packaging, Industry 4.0-enabled cobots integrate with vision systems for precise sorting and placement, reducing errors and downtime. This shift not only enhances productivity and operational flexibility but also supports predictive maintenance and data-driven decision-making, helping manufacturers achieve higher efficiency, lower costs, and faster response to changing market demands across diverse sectors.