Autonomous Mobile Robots (AMR) Market Size, Share & Trends Report

Autonomous Mobile Robots (AMR) Market Size, Share & Trends Analysis Report By Component (Hardware, Software, Services), By Type, By Battery Type, By End-use, By Region, And Segment Forecasts, 2023 - 2030

  • Report ID: GVR-4-68039-281-1
  • Number of Pages: 168
  • Format: Electronic (PDF)
  • Historical Range: 2017 - 2021
  • Industry: Technology

Research Methodology

A three-pronged approach was followed for deducing the autonomous mobile robots (AMR) market estimates and forecasts. The process has three steps: information procurement, analysis, and validation. The whole process is cyclical, and steps repeat until the estimates are validated. The three steps are explained in detail below:

Information procurement: Information procurement is one of the most extensive and important stages in our research process, and quality data is critical for accurate analysis. We followed a multi-channel data collection process for autonomous mobile robots (AMR) market to gather the most reliable and current information possible.

  • We buy access to paid databases such as Hoover’s and Factiva for company financials, industry information, white papers, industry journals, SME journals, and more.
  • We tap into Grand View’s proprietary database of data points and insights from active and archived monitoring and reporting.
  • We conduct primary research with industry experts through questionnaires and one-on-one phone interviews.
  • We pull from reliable secondary sources such as white papers and government statistics, published by organizations like WHO, NGOs, World Bank, etc., Key Opinion Leaders (KoL) publications, company filings, investor documents, and more.
  • We purchase and review investor analyst reports, broker reports, academic commentary, government quotes, and wealth management publications for insightful third-party perspectives.

Analysis: We mine the data collected to establish baselines for forecasting, identify trends and opportunities, gain insight into consumer demographics and drivers, and so much more. We utilized different methods of autonomous mobile robots (AMR) market data depending on the type of information we’re trying to uncover in our research.

  • Market Research Efforts: Bottom-up Approach for estimating and forecasting demand size and opportunity, top-down Approach for new product forecasting and penetration, and combined approach of both Bottom-up and Top-down for full coverage analysis.

  • Value-Chain-Based Sizing & Forecasting: Supply-side estimates for understanding potential revenue through competitive benchmarking, forecasting, and penetration modeling.

  • Demand-side estimates for identifying parent and ancillary markets, segment modeling, and heuristic forecasting.

  • Qualitative Functional Deployment (QFD) Modelling for market share assessment.

Market formulation and validation: We mine the data collected to establish baselines for forecasting, identify trends and opportunities, gain insight into consumer demographics and drivers, and so much more. We utilize different methods of data analysis depending on the type of information we’re trying to uncover in our research.

  • Market Formulation: This step involves the finalization of market numbers. This step on an internal level is designed to manage outputs from the Data Analysis step.

  • Data Normalization: The final market estimates and forecasts are then aligned and sent to industry experts, in-panel quality control managers for validation.

  • This step also entails the finalization of the report scope and data representation pattern.

  • Validation: The process entails multiple levels of validation. All these steps run in parallel, and the study is forwarded for publishing only if all three levels render validated results.

Autonomous Mobile Robots (AMR) Market Categorization:

The autonomous mobile robots (AMR) market was categorized into five segments, namely component (Hardware, Software, Services), type (Goods-to-person picking robots, Self-driving Forklifts, Autonomous Inventory Robots, Unmanned Aerial Vehicles), battery type (Lead Battery, Lithium-Ion Battery, Nickel-based Battery), end-use (Manufacturing, Wholesale & Distribution), and region (North America, Europe, Asia Pacific, South America, and Middle East & Africa).

Segment Market Methodology:

The autonomous mobile robots (AMR) market was segmented into component, type, battery type, end-use, and regions. The demand at a segment level was deduced using a funnel method. Concepts like the TAM, SAM, SOM, etc., were put into practice to understand the demand. We at GVR deploy three methods to deduce market estimates and determine forecasts. These methods are explained below:

Market research approaches: Bottom-up

  • Demand estimation of each product across countries/regions summed up to from the total market.

  • Variable analysis for demand forecast.

  • Demand estimation via analyzing paid database, and company financials either via annual reports or paid database.

  • Primary interviews for data revalidation and insight collection.

Market research approaches: Top-down

  • Used extensively for new product forecasting or analyzing penetration levels.

  • Tool used invoice product flow and penetration models Use of regression multi-variant analysis for forecasting Involves extensive use of paid and public databases.

  • Primary interviews and vendor-based primary research for variable impact analysis.

Market research approaches: Combined

  • This is the most common method. We apply concepts from both the top-down and bottom-up approaches to arrive at a viable conclusion.

Regional Market Methodology:

The autonomous mobile robots (AMR) market was analyzed at a regional level. The globe was divided into North America, Europe, Asia Pacific, South America, and Middle East & Africa, keeping in focus variables like consumption patterns, export-import regulations, consumer expectations, etc. These regions were further divided into ten countries, namely, the U.S.; Canada; Mexico; Germany; the UK; France; China; Japan; India; Brazil.

All three above-mentioned market research methodologies were applied to arrive at regional-level conclusions. The regions were then summed up to form the global market.

Autonomous mobile robots (AMR) market companies & financials:

The autonomous mobile robots (AMR) market was analyzed via companies operating in the sector. Analyzing these companies and cross-referencing them to the demand equation helped us validate our assumptions and conclusions. Key market players analyzed include:

  • Daifuku Co., Ltd. is a Japan-based company that manufactures and sells material handling systems, equipment, and vehicle washers. The company has various segments, including manufacturing and distribution systems, cleanroom production line systems, automobile production line systems, airport technologies, lifestyle products, and electronics.

  • ABB, headquartered in Switzerland, manufactures power transmission and distribution equipment and provides end-to-end solutions in power and automation technologies. The company’s critical operating business segments include electrification products, robotics and motion, industrial automation, and power grids. The company provides its solutions to customers across various industries, including cement, paper and pulp, marine, metal production, mining, petrochemicals, and oil & gas. The company provides various solutions and devices within the Industrial Internet of Things (IIoT) domain, including measuring equipment, converters, motors, and other devices.          

  • BALYO, a France-based company, specializes in the designing, engineering, and manufacturing of autonomous-driving forklifts based on standard trucks. The company converts conventional forklift trucks into independent, intelligent robots that can assist human operators. The Balyo autonomous vehicle model may be guided without using reflectors or lines on the ground. Numerous French and international industrial enterprises, including those in North America, receive solutions from the organization.

  • Bastian Solutions, LLC is a system integrator that seeks out technologies in material handling equipment and information systems. Bastian Solutions offers a comprehensive range of products and services, including conveyor systems, automated storage and retrieval systems (AS/RS), robotics, sortation systems, and warehouse management systems (WMS). The company has developed advanced software solutions, such as Exacta WMS that provide real-time visibility into warehouse operations and enable optimization of inventory, labor, and equipment utilization. Bastian Solutions serves various industries, including e-commerce, retail, food and beverage, and manufacturing.

  • Toyota Material Handling, Inc. manufactures, distributes, and sells material-handling vehicles and industrial equipment. Toyota Material Handling's product portfolio includes a wide range of forklifts, including electric, gas, and diesel-powered models and specialized models for narrow aisles, heavy loads, and outdoor applications. The company also offers a comprehensive range of material handling equipment and services, including warehouse design and automation, fleet management, and aftermarket support.

  • Hyster-Yale Materials Handling, Inc. is a company that designs, engineers, manufactures, and sells a portfolio of materials handling equipment. The company’s product portfolio comprises various indoor and outdoor lift trucks with internal combustion engines and electric motors, counterbalanced lift trucks, narrow aisle warehouse trucks, and the toughest freight handling machinery.   

  • Jungheinrich AG is a German company that is engaged in material handling equipment, digital solutions, automated systems, and matching services. The company uses various automated warehouse equipment, mobile robots, and software to construct automated intralogistics workflows. It also offers explosion-proof forklifts, electric pedestrian trucks, batteries, warehousing technology solutions, and internal logistics services, among other accessories.

  • Third Wave Automation delivers machine learning and cloud robotics technology to material handling automation. The company's technology integrates modern robotics and software practices with deep learning research to bring autonomy and directly enhance warehouse throughput and efficiency, promoting supply chain and logistics industries to get a robust infrastructure-free pallet handling and vehicle navigation that acclimates to changing warehouse demand and floor configurations to make forklift operations more innovative, safer, and efficient.

  • John Bean Technologies Corporation (JBT) is an international company that provides technological solutions for the high-value sectors of the food processing and aviation industries. The JBT AeroTech business division includes mobile and fixed equipment and services for air transportation. It offers automated guided vehicles (AGVs) for material handling applications in food & beverage, manufacturing, warehouse, automotive, hospital, and printing industries.

  • Crown Equipment Corporation is a company specializing in designing, manufacturing, and distributing material handling equipment, including forklifts, pallet jacks, and stackers. Crown Equipment's product portfolio includes various forklifts, from electric and internal combustion engine-powered forklifts to specialized narrow-aisle and order-picking trucks. The company also offers a comprehensive range of material handling solutions, including warehouse design and automation, fleet management, and aftermarket support.

Value chain-based sizing & forecasting

Supply Side Estimates

  • Company revenue estimation via referring to annual reports, investor presentations, and Hoover’s.

  • Segment revenue determination via variable analysis and penetration modeling.

  • Competitive benchmarking to identify market leaders and their collective revenue shares.

  • Forecasting via analyzing commercialization rates, pipelines, market initiatives, distribution networks, etc.

Demand side estimates

  • Identifying parent markets and ancillary markets

  • Segment penetration analysis to obtain pertinent

  • revenue/volume

  • Heuristic forecasting with the help of subject matter experts

  • Forecasting via variable analysis

Autonomous Mobile Robots (AMR) Market Report Objectives:

  • Understanding market dynamics (in terms of drivers, restraints, & opportunities) in the countries.

  • Understanding trends & variables in the individual countries & their impact on growth and using analytical tools to provide high-level insights into the market dynamics and the associated growth pattern.

  • Understanding market estimates and forecasts (with the base year as 2022, historic information from 2017 to 2021, and forecast from 2023 to 2030). Regional estimates & forecasts for each category are available and are summed up to form the global market estimates.

Autonomous Mobile Robots (AMR) Market Report Assumptions:

  • The report provides market value for the base year 2022 and a yearly forecast till 2030 in terms of revenue/volume or both. The market for each of the segment outlooks has been provided on region & country basis for the above-mentioned forecast period.

  • The key industry dynamics, major technological trends, and application markets are evaluated to understand their impact on the demand for the forecast period. The growth rates were estimated using correlation, regression, and time-series analysis.

  • We have used the bottom-up approach for market sizing, analyzing key regional markets, dynamics, & trends for various products and end-users. The total market has been estimated by integrating the country markets.

  • All market estimates and forecasts have been validated through primary interviews with the key industry participants.

  • Inflation has not been accounted for to estimate and forecast the market.

  • Numbers may not add up due to rounding off.

  • Europe consists of EU-8, Central & Eastern Europe, along with the Commonwealth of Independent States (CIS).

  • Asia Pacific includes South Asia, East Asia, Southeast Asia, and Oceania (Australia & New Zealand).

  • Latin America includes Central American countries and the South American continent

  • Middle East includes Western Asia (as assigned by the UN Statistics Division) and the African continent.

Primary Research

GVR strives to procure the latest and unique information for reports directly from industry experts, which gives it a competitive edge. Quality is of utmost importance to us, therefore every year we focus on increasing our experts’ panel. Primary interviews are one of the critical steps in identifying recent market trends and scenarios. This process enables us to justify and validate our market estimates and forecasts to our clients. With more than 8,000 reports in our database, we have connected with some key opinion leaders across various domains, including healthcare, technology, consumer goods, and the chemical sector. Our process starts with identifying the right platform for a particular type of report, i.e., emails, LinkedIn, seminars, or telephonic conversation, as every report is unique and requires a differentiated approach.

We send out questionnaires to different experts from various regions/ countries, which is dependent on the following factors:

  • Report/Market scope: If the market study is global, we send questionnaires to industry experts across various regions, including North America, Europe, Asia Pacific, Latin America, and MEA.

  • Market Penetration: If the market is driven by technological advancements, population density, disease prevalence, or other factors, we identify experts and send out questionnaires based on region or country dominance.

The time to start receiving responses from industry experts varies based on how niche or well-penetrated the market is. Our reports include a detailed chapter on the KoL opinion section, which helps our clients understand the perspective of experts already in the market space.

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