Interact Analysis
A new report from Interact Analysis found that robotic bin picking and robotic trailer unloading are driving strong market growth through 2030
Get news, papers, media and research delivered. Sign up for our free newsletters.
Stay up-to-date with news and resources you need to do your job. Research industry trends, compare companies and get weekly market intelligence with Robotics 24/7.
Interact Analysis
A new report from Interact Analysis found that robotic bin picking and robotic trailer unloading are driving strong market growth through 2030
As warehouse automation continues to evolve, a new report from market research firm Interact Analysis found that the use of stationary robots with robotic arms for picking and handling tasks (including palletizing, depalletizing and item or case picking) is developing rapidly.
In the latest report, Robotic Picking 2026, Interact Analysis estimates the market size for robotic picking in 2025 at $1.7 billion, projected to reach $4.6 billion by 2030, growing at a compound annual growth rate (CAGR) of 21.7% during the 2026-2030 forecast period.
Interact Analysis said that in 2025, the bulk of these applications were robotic palletizing and depalletizing, which represented 83% of the total robotic picking market. The firm said that this is a relatively mature application segment, with robotic palletizing and depalletizing used in warehousing for several decades, including in large-scale automation deployments.
However, IA said that the market structure is expected to shift gradually over time. By 2030, the report said that the combined share of robotic palletizing and depalletizing is forecast to decline to approximately 58% of the total robotic picking market, as newer applications such as bin-to-bin picking and robotic trailer unloading gain traction.
During the forecast period, robotic bin picking is projected to grow at a 36% CAGR from 2026 to 2030, while robotic trailer unloading is forecast to grow at 64% CAGR over the same period.
Additionally, Interact Analysis said that robotic bin picking’s integration into modular systems has lowered integration complexity, increasing customers’ willingness to deploy. As an add-on technology, IA said that robotic picking systems need to integrate with existing workflows, as well as with WMS or WES, which poses an adoption challenge for warehouse operations.
Interact Analysis said it is seeing a trend toward modular offerings that lower the complexity of integration.
Robotic trailer unloading, which Interact Analysis describes as a relatively standalone offering, addresses a segment where customers have an urgent need for automation. The report found large orders emerging in this market, which improves customer confidence as the technology continues to mature.
Interact Analysis’ “Voice of Market” research points in the same direction: 43.4% of respondents identified receiving and unloading as a priority workflow in their automation roadmap.
Even within the relatively mature palletizing segment, Interact Analysis said that the market is evolving. In recent years, the firm said that it has seen growing interest in inbound palletizing, where floor-loaded shipments are palletized after unloading before being moved into storage.
Interact Analysis said that this reflects the increasing demand for automation across inbound warehouse processes, rather than focusing solely on outbound palletizing. MODEX 2026 featured several examples of partnerships and technology collaborations that highlight this shift.
Check out the full report here.
Artificial Intelligence Machine Vision Machine Learning Autonomy Mobile Robots Industrial Automation Collaborative Robots Robot Arm Components Grippers Sensors Cameras Lidar Software Cloud and Edge Data Management News Press Release Depalletization Interact Analysis Market Research Reports Materials Handling Modular Palletizing Picking Trailer Unloading
Enjoyed this article? Add Robotics 24/7 as a preferred source in Google Search.
Edge computing gives AI agents the processing power to turn instructions into…
Daimon-TWM world model debuts for the public
Platform helps robots adapt to complex tasks
Look beyond the headlines for the latest in humanoid robots
