Global and U.S. Autonomous Mobile Robots for Smart Logistics Market Report, Published by QY Research.

QY Research has released a comprehensive new market report on Autonomous Mobile Robots (AMRs) for Smart Logistics, intelligent, self-navigating robotic systems that automate material transport, picking assistance, sorting, and intralogistics workflows in warehouses, distribution centers, and manufacturing plants. Unlike fixed automation or legacy AGVs, AMRs use LiDAR/vision-based SLAM, onboard AI, and fleet orchestration software to adapt dynamically to layout changes and mixed human-robot environments. As e-commerce growth, labor constraints, and same-day delivery accelerate, this report delivers an in-depth assessment of global market size, technology evolution, and competitive dynamics.

Core Market Data

Global market size: USD 9.5 billion
CAGR (2024-2030): 18.6%
Average price: USD 24000 per unit
Annual production: 0.4 million units
Gross margin: 38%
Production capacity: 0.45 million units

List of Main Players

Rockwell Automation (NYSE: ROK, USA)
OMRON (TYO: 6645, Japan)
Amazon (NASDAQ: AMZN, USA)
Zebra Technologies (NASDAQ: ZBRA, USA)
Kardex (SIX: KARN, Switzerland)
KUKA (SHE: 000333, China)
ABB (SIX: ABBN, Switzerland)
Daifuku (TYO: 6383, Japan)
Hikrobot (SZSE: 002415, China)
SSI Schaefer (Private, Germany)
Mobile Industrial Robots (Private, Denmark)
Geek+ (Private, China)
Seegrid (Private, USA)
Quicktron (Private, China)
GreyOrange (Private, India)
Caja Robotics (Private, Israel)
IAM Robotics (Private, USA)
Jungheinrich (ETR: JUN3, Germany)
Robotnik (Private, Spain)
KAZE Robotics (Private, China)
KION Group (ETR: KGX, Germany)
Locus Robotics (Private, USA)

1. By Robot Type

Goods-to-person AMRs
Autonomous pallet movers and forklifts
Sorting and parcel-handling AMRs
Collaborative picking AMRs

2. By Navigation Technology

LiDAR-based SLAM navigation
Vision-based navigation
Hybrid LiDAR + vision systems
Marker / QR-assisted navigation

3. By Payload Capacity

Below 100 kg (totes, picking assistance)
100-500 kg (carts and case handling)
Above 500 kg (pallet transport and forklifts)

4. By Application

E-commerce fulfillment centers
Third-party logistics (3PL) warehouses
Manufacturing intralogistics
Cold-chain and pharmaceutical logistics
Retail distribution centers

Case Study for Bidding

Time: June 2024
Supplier: Geek+
Buyer: DHL Supply Chain
Product: Goods-to-person AMR systems with centralized fleet management software
Quantity: 32,000 robots
Contract Value: USD 420 million
Delivery Timeline: Q2 2026

Case Study for End Using

End User: Amazon

Application: High-throughput picking, inventory transport, and order consolidation in large-scale fulfillment centers.

Installation Location / Usage Stage

Deployed across picking aisles, storage zones, and packing stations.
Integrated with WMS, OMS, and inventory optimization systems.
Operates 24/7 alongside human workers with safety-certified navigation.

Purpose

Automates repetitive transport and walking-intensive tasks.
Increases picking density and throughput.
Enables rapid scaling during seasonal peaks.

Effect

Increased picking productivity by 2-3×.
Reduced order cycle time by 30-45%.
Improved labor utilization and workplace safety.

Alternative Intralogistics Solutions

Automated Guided Vehicles (AGVs) offer stability but limited flexibility and reconfiguration speed.
Conveyor and sortation systems deliver high throughput but require fixed layouts and high capex.
Manual material handling remains flexible but is labor-intensive and inefficient at scale.
AS/RS systems enable dense storage but lower adaptability for SKU-diverse operations.

Therefore, Autonomous Mobile Robots are a cornerstone of smart logistics, enabling flexible, scalable, and intelligent intralogistics automation-supporting faster fulfillment, lower operating costs, and resilient supply chains across e-commerce, manufacturing, and 3PL operations.

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