Global Market Insights sizes the autonomous mobile robot market at 3.1 billion USD in 2025, tracking to 17 billion USD by 2035 at a 19.5% CAGR. [S1]
For a specifying engineer, the relevant data points are concrete payload classes, named product lines, and disclosed vendor share rather than the headline growth rate. The 2025 to 2035 forecast gives a five year run rate that procurement can use to defend multi-year fleet capex, while the 2022 to 2024 actuals (2.4B to 2.8B USD) provide a defensible baseline. The named high-payload example (Omron MD-series at 650 kg and 900 kg, announced November 2023) is the kind of capacity band that maps directly to tote, pallet, and cart workflows on the receiving floor. Vendor concentration is high enough that second-source risk needs a written plan: the top five hold 45.4% of the 2025 market and a single supplier leads at 12.4%. [S1]
What was reported
Global Market Insights Inc. published a forecast for the global autonomous mobile robots market, sized at 3.1 billion USD in 2025 and projected to reach 17 billion USD by 2035, with a stated 19.5% CAGR across 2026 to 2035. The 2026 figure given is 3.4 billion USD and 2031 is 7 billion USD. [S1]
The report frames growth around four named drivers: e-commerce and warehouse automation, expansion into healthcare and pharmaceuticals, and adoption in agriculture and food processing. It also lists last-mile delivery and integration with smart factories as opportunities, and flags high unit cost and integration difficulty as challenges. [S1]
Numbers, names, and product lines cited
Vendor share for 2025 is broken out as KUKA AG leading at over 12.4%, with a top five of KUKA AG, Geekplus Technology Co., Ltd., ABB Robotics, Zebra Technologies, and Omron Corporation, collectively holding 45.4%. [S1]
Named product example for high-payload work is Omron Corporation's MD-series AMRs, announced in November 2023, with payload capacities of 650 kg and 900 kg. The report also names ABB Robotics' Flexley Tug T702 as an AI visual SLAM example. [S1]
Baseline history: 2.4 billion USD in 2022 to 2.8 billion USD in 2024. Regional callouts name North America as the largest 2025 market and Asia Pacific as the fastest growing region. An external data point is cited from the USDA Economic Research Service: 52% of midsize farms and 70% of large-scale crop farms used auto-steering systems in 2023. [S1]
What it means for this product category
The 19.5% CAGR through 2035 supports a multi-year capex case for AMRs in distribution, manufacturing, and intralogistics, with payload classes trending up: the cited 650 kg and 900 kg units put mobile platforms in reach of pallet and cart handling that previously needed fixed conveyor or forklift solutions. [S1]
Supply concentration is the key risk for specifiers. A single vendor above 12% and a top five above 45% means that warranty terms, spare-part SLAs, and controller interoperability deserve a dedicated line item in the procurement document, not a footnote. [S1]
For agricultural and food facilities, the cited farm-level adoption of auto-steering provides a defensible reference point when justifying outdoor or hybrid indoor-outdoor AMR pilots, though the specifier should confirm which exact platform the farm data refers to. [S1]
How to check the primary source
The figures above come from a Global Market Insights Inc. market page that is gated for full detail. Treat the headline numbers as report-side estimates and confirm the exact definition of autonomous mobile robot used, the payload segmentation, and the regional split before publishing a specification. [S1]
Cross-check the named product facts at the OEM: Omron's MD-series payload values and ABB's Flexley Tug T702 SLAM capability should be verified on each vendor's product page, since the market report does not cite a datasheet revision. For farm auto-steering adoption, the underlying USDA Economic Research Service publication should be retrieved directly rather than relying on the secondary citation. [S1]
Primary notice: Industry news.
Product encyclopedia: Autonomous Mobile Robot.