Market Size & Five-Year Outlook for Collaborative Robots (Cobots) in Industrial Manufacturing
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This March 2026 Cypris research brief quantifies the current U.S. market size and total addressable market for collaborative robots (cobots) in industrial manufacturing, projecting growth from approximately $124.6M in 2025 to $186.2M by 2030 at an 8.36% CAGR. Built bottom-up from IFR and A3 order data, the model segments the market across three payload classes and six industrial task pools, incorporating automation potential ceilings grounded in BLS employment data and McKinsey manufacturing research. The accompanying Excel workbook makes all assumptions, data sources, and calculations transparent and adjustable for scenario testing.
What You'll Find in the Report
Where the cobot market stands today — and how big the opportunity actually is
The U.S. cobot market is estimated at $124.6M in 2025, yet the total addressable market across six task pools stands at roughly $118.3B — revealing a vast gap between current adoption and theoretical demand. Understand how the market is segmented by payload class, which task pools represent the largest opportunity, and why material handling and palletizing dominate the TAM while assembly and welding remain underpenetrated.
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Which structural forces are driving — and constraining — cobot adoption through 2030
Projections of 1.9M unfilled U.S. manufacturing roles through 2033, updated ISO safety standards, and AI-enabled programming tools are meaningful tailwinds for cobot deployment. Learn how these drivers are weighed against real friction points like capital expenditure hesitancy, integration complexity for SMEs, and payload-speed limitations that keep cobots out of high-throughput applications.
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How to use this model's methodology to benchmark your own assumptions
The brief pairs with a fully documented Excel workbook that lets stakeholders modify ASP levels, penetration rates, and growth assumptions without changing the model structure. Discover how the bottom-up and top-down approaches were combined, why U.S. trade data was excluded as a volume input, and what proxies were used where primary data was unavailable.
Powering world-leading R&D & IP teams
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