PUBLISHER: QYResearch | PRODUCT CODE: 1866698
PUBLISHER: QYResearch | PRODUCT CODE: 1866698
The global market for Goods-to-Person AMRs was estimated to be worth US$ 2042 million in 2024 and is forecast to a readjusted size of US$ 8465 million by 2031 with a CAGR of 22.6% during the forecast period 2025-2031.
This report provides a comprehensive assessment of recent tariff adjustments and international strategic countermeasures on Goods-to-Person AMRs cross-border industrial footprints, capital allocation patterns, regional economic interdependencies, and supply chain reconfigurations.
An autonomous mobile robot (AMR) is a robot that performs behaviors or tasks with a high degree of autonomy. The AMR relies on autonomous navigation where no wires, tape, GPS or other navigation markers are required. Its laser guidance system assures precise navigation, obstacle avoidance and human safety. The drive-around mapping with laptop adjustments enables fast and easy route updates and additions. The demands placed on the functionality of autonomous robotic systems are significantly higher compared to conventional industrial robots. The aim is that mobile systems operate autonomously in unknown and dynamic environments to fulfill their assigned tasks. For this purpose, it is essential to explore and model the environment in a suitable way. The information gathered by sensors has to be combined to allow for an accurate positioning. In addition, the perceived surroundings have to be consolidated in an exact map representation. Having acquired this knowledge, the robot is able to plan an optimal collision-free path to a given goal and to perform complex handling tasks. Goods-to-Person (GTP) is a warehouse automation solution in which products are brought to a person by a Autonomous Mobile Robots (AMRs).
The growth of the Goods-to-Person Autonomous Mobile Robot (G2P AMR) market is being fueled by several key drivers. First and foremost, the rapid expansion of e-commerce has significantly increased the demand for faster, more accurate, and more efficient fulfillment processes. G2P AMRs directly address this need by bringing goods to human pickers, enabling a "goods-to-person" model that drastically reduces picking time, minimizes walking distance, and enhances order accuracy.
Simultaneously, the global logistics industry is facing increasing labor shortages and rising workforce costs, making automation an attractive and often necessary solution. G2P AMRs help mitigate labor dependency while improving throughput, enabling companies to scale operations without proportionally increasing headcount. These robots can operate continuously, navigate dynamic warehouse environments autonomously, and adapt flexibly to changing layouts or order volumes.
Technological advancements in fields such as artificial intelligence, sensor fusion, real-time mapping (SLAM), and machine vision have further improved the reliability, safety, and performance of AMRs. This makes them increasingly capable of operating in complex, high-density storage environments with minimal human oversight. The seamless integration of G2P AMRs with Warehouse Management Systems (WMS) and other software platforms has also contributed to smarter and more coordinated operations.
Global key players of Goods-to-Person AMRs include Geekplus Technology, Mobile Industrial Robots and Omron, etc. The top three players hold a share about 26%. North America is the largest market, has a share about 35%. In terms of product type, LiDAR+Vision Based is the largest segment, occupied for a share of about 79%, and in terms of application, e-Commerce has a share about 36 percent.
This report aims to provide a comprehensive presentation of the global market for Goods-to-Person AMRs, focusing on the total sales volume, sales revenue, price, key companies market share and ranking, together with an analysis of Goods-to-Person AMRs by region & country, by Type, and by Application.
The Goods-to-Person AMRs market size, estimations, and forecasts are provided in terms of sales volume (K Units) and sales revenue ($ millions), considering 2024 as the base year, with history and forecast data for the period from 2020 to 2031. With both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Goods-to-Person AMRs.
Market Segmentation
By Company
Segment by Type
Segment by Application
By Region
Chapter Outline
Chapter 1: Introduces the report scope of the report, global total market size (value, volume and price). This chapter also provides the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by manufacturers in the industry, and the analysis of relevant policies in the industry.
Chapter 2: Detailed analysis of Goods-to-Person AMRs manufacturers competitive landscape, price, sales and revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 3: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 4: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 5: Sales, revenue of Goods-to-Person AMRs in regional level. It provides a quantitative analysis of the market size and development potential of each region and introduces the market development, future development prospects, market space, and market size of each country in the world.
Chapter 6: Sales, revenue of Goods-to-Person AMRs in country level. It provides sigmate data by Type, and by Application for each country/region.
Chapter 7: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product sales, revenue, price, gross margin, product introduction, recent development, etc.
Chapter 8: Analysis of industrial chain, including the upstream and downstream of the industry.
Chapter 9: Conclusion.