Autonomous Mobile Robots Market Size, Share & Trends Analysis Report by Component (Hardware, Software, Services), By Type (Goods-To-Person Picking Robots, Self-Driving Forklifts, Autonomous Inventory Robots, And Unmanned Aerial Vehicles), By Battery Type (Lead Batteries, Lithium-Ion Batteries, Nickel-Based Batteries), By End-Use (Manufacturing, Wholesale & Distribution), Region And Segment Forecasts, 2025-2034

Report Id: 1881 Pages: 180 Last Updated: 23 April 2025 Format: PDF / PPT / Excel / Power BI
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Segmentation of Autonomous Mobile Robots Market-

Autonomous Mobile Robots Market By Component-

  • Hardware
  • Software
  • Services

Autonomous Robots Market

Autonomous Mobile Robots Market By Type-

  • Goods-to-person picking robots
  • Self-driving Forklifts
  • Autonomous Inventory Robots
  • Unmanned Aerial Vehicles

Autonomous Mobile Robots Market By Battery-

  • Lead Battery
  • Lithium-Ion Battery
  • Nickel-based Battery
  • Others

Autonomous Mobile Robots Market By End-use-

  • Manufacturing
    • Automotive
    • Aerospace
    • Electronics
    • Chemical
    • Pharmaceuticals
    • Plastics
    • Defense
    • FMCG
    • Others
  • Wholesale & Distribution
    • E-commerce
    • Retail Chains/Conveyance Stores
    • Others

By Region-

North America-

  • The US
  • Canada

Europe-

  • Germany
  • The UK
  • France
  • Italy
  • Spain
  • Rest of Europe

Asia-Pacific-

  • China
  • Japan
  • India
  • South Korea
  • Southeast Asia
  • Rest of Asia Pacific

Latin America-

  • Brazil
  • Mexico
  • Argentina
  • Rest of Latin America

 Middle East & Africa-

  • GCC Countries
  • South Africa
  • Rest of the Middle East and Africa

Chapter 1. Methodology and Scope
1.1. Research Methodology
1.2. Research Scope & Assumptions

Chapter 2. Executive Summary

Chapter 3. Global Autonomous Mobile Robots Market Snapshot

Chapter 4. Global Autonomous Mobile Robots Market Variables, Trends & Scope
4.1. Market Segmentation & Scope
4.2. Drivers
4.3. Challenges
4.4. Trends
4.5. Investment and Funding Analysis of Metaverse Industry
4.6. Industry Analysis – Porter’s Five Forces Analysis
4.7. COVID-19 Impact on Metaverse Industry

Chapter 5. Market Segmentation 1: By Component Estimates & Trend Analysis
5.1. By Component & Market Share, 2024-2034
5.2. Market Size (Value US$ Mn) & Forecasts and Trend Analyses, 2021 to 2034 for the following By Component:

5.2.1. Hardware
5.2.2. Software
5.2.3. Services

Chapter 6. Market Segmentation 2: By Type Estimates & Trend Analysis
6.1. By Component & Market Share, 2024-2034
6.2. Market Size (Value US$ Mn) & Forecasts and Trend Analyses, 2021 to 2034 for the following By Type:

6.2.1. Goods-to-Person Picking Robots
6.2.2. Self-Driving Forklifts
6.2.3. Autonomous Inventory Robots
6.2.4. Unmanned Aerial Vehicles

Chapter 7. Market Segmentation 3: By End-Use Estimates & Trend Analysis
7.1. By Component & Market Share, 2024-2034
7.2. Market Size (Value US$ Mn) & Forecasts and Trend Analyses, 2021 to 2034 for the following By End-Use:

7.2.1. Manufacturing

7.2.1.1. Automotive
7.2.1.2. Aerospace
7.2.1.3. Electronics
7.2.1.4. Chemical
7.2.1.5. Pharmaceuticals
7.2.1.6. Plastics
7.2.1.7. Defense
7.2.1.8. FMCG
7.2.1.9. Others

7.2.2. Wholesale & Distribution

7.2.2.1. E-commerce
7.2.2.2. Retail Chains/Conveyance Stores
7.2.2.3. Others

Chapter 8. Market Segmentation 4: By Battery Type Estimates & Trend Analysis
8.1. By Component & Market Share, 2024-2034
8.2. Market Size (Value US$ Mn) & Forecasts and Trend Analyses, 2021 to 2034 for the following By Battery Type:

8.2.1.1. Lead Battery
8.2.1.2. Lithium-Ion Battery
8.2.1.3. Nickel-based Battery
8.2.1.4. Others

Chapter 9. Autonomous Mobile Robots Market Segmentation 5 : Regional Estimates & Trend Analysis

9.1. North America

9.1.1. North America Autonomous Mobile Robots Market revenue (US$ Million) estimates and forecasts By Component, 2021-2034
9.1.2. North America Autonomous Mobile Robots Market revenue (US$ Million) estimates and forecasts By Type, 2021-2034
9.1.3. North America Autonomous Mobile Robots Market revenue (US$ Million) estimates and forecasts By End-Use, 2021-2034
9.1.4. North America Autonomous Mobile Robots Market revenue (US$ Million) estimates and forecasts By Battery Type, 2021-2034
9.1.5. North America Autonomous Mobile Robots Market revenue (US$ Million) estimates and forecasts by country, 2021-2034

9.1.5.1. U.S.
9.1.5.2. Canada

9.2. Europe

9.2.1. Europe Autonomous Mobile Robots Market revenue (US$ Million) by By Component, 2021-2034
9.2.2. Europe Autonomous Mobile Robots Market revenue (US$ Million) estimates and forecasts By Type, 2021-2034
9.2.3. Europe Autonomous Mobile Robots Market revenue (US$ Million) estimates and forecasts By End-Use , 2021-2034
9.2.4. Europe Autonomous Mobile Robots Market revenue (US$ Million) estimates and forecasts By Form , 2021-2034
9.2.5. Europe Autonomous Mobile Robots Market revenue (US$ Million) by country, 2021-2034

9.2.5.1. Germany
9.2.5.2. Poland
9.2.5.3. France
9.2.5.4. Italy
9.2.5.5. Spain
9.2.5.6. UK
9.2.5.7. Rest of Europe

9.3. Asia Pacific

9.3.1. Asia Pacific Autonomous Mobile Robots Market revenue (US$ Million) by By Component, 2021-2034
9.3.2. Asia Pacific Autonomous Mobile Robots Market revenue (US$ Million) estimates and forecasts By Type, 2021-2034
9.3.3. Asia Pacific Autonomous Mobile Robots Market revenue (US$ Million) estimates and forecasts By End-Use , 2021-2034
9.3.4. Asia Pacific Autonomous Mobile Robots Market revenue (US$ Million) estimates and forecasts By Battery Type, 2021-2034
9.3.5. Asia Pacific Autonomous Mobile Robots Market revenue (US$ Million) by country, 2021-2034

9.3.5.1. China
9.3.5.2. India
9.3.5.3. Japan
9.3.5.4. Australia
9.3.5.5. Rest of Asia Pacific


9.4. Latin America

9.4.1. Latin America Autonomous Mobile Robots Market revenue (US$ Million) by By Component, 2021-2034
9.4.2. Latin America Autonomous Mobile Robots Market revenue (US$ Million) estimates and forecasts By Type, 2021-2034
9.4.3. Latin America Autonomous Mobile Robots Market revenue (US$ Million) estimates and forecasts By End-Use , 2021-2034
9.4.4. Latin America Autonomous Mobile Robots Market revenue (US$ Million) estimates and forecasts By Battery Type, 2021-2034
9.4.5. Latin America Autonomous Mobile Robots Market revenue (US$ Million) by country, (US$ Million) 2021-2034

9.4.5.1. Brazil
9.4.5.2. Rest of Latin America

9.5. Middle East & Africa

9.5.1. Middle East & Africa Autonomous Mobile Robots Market revenue (US$ Million) by By Component, (US$ Million)
9.5.2. Middle East & Africa Autonomous Mobile Robots Market revenue (US$ Million) estimates and forecasts By Type, 2021-2034
9.5.3. Middle East & Africa Autonomous Mobile Robots Market revenue (US$ Million) estimates and forecasts By End-Use , 2021-2034
9.5.4. Middle East & Africa Autonomous Mobile Robots Market revenue (US$ Million) estimates and forecasts By Battery Type, 2021-2034
9.5.5. Middle East & Africa Autonomous Mobile Robots Market revenue (US$ Million) by country, (US$ Million) 2021-2034

9.5.5.1. South Africa
9.5.5.2. GCC Countries
9.5.5.3. Rest of MEA

Chapter 10. Competitive Landscape

10.1. Major Mergers and Acquisitions/Strategic Alliances

10.2. Company Profiles

10.2.1. ABB
10.2.2. Bleum
10.2.3. Boston Dynamics
10.2.4. Clearpath Robotics, Inc.
10.2.5. GreyOrange
10.2.6. Harvest Automation
10.2.7. IAM Robotics
10.2.8. inVia Robotics, Inc.
10.2.9. KUKA AG
10.2.10. Teradyne Inc.

Research Design and Approach

This study employed a multi-step, mixed-method research approach that integrates:

  • Secondary research
  • Primary research
  • Data triangulation
  • Hybrid top-down and bottom-up modelling
  • Forecasting and scenario analysis

This approach ensures a balanced and validated understanding of both macro- and micro-level market factors influencing the market.

Secondary Research

Secondary research for this study involved the collection, review, and analysis of publicly available and paid data sources to build the initial fact base, understand historical market behaviour, identify data gaps, and refine the hypotheses for primary research.

Sources Consulted

Secondary data for the market study was gathered from multiple credible sources, including:

  • Government databases, regulatory bodies, and public institutions
  • International organizations (WHO, OECD, IMF, World Bank, etc.)
  • Commercial and paid databases
  • Industry associations, trade publications, and technical journals
  • Company annual reports, investor presentations, press releases, and SEC filings
  • Academic research papers, patents, and scientific literature
  • Previous market research publications and syndicated reports

These sources were used to compile historical data, market volumes/prices, industry trends, technological developments, and competitive insights.

Secondary Research

Primary Research

Primary research was conducted to validate secondary data, understand real-time market dynamics, capture price points and adoption trends, and verify the assumptions used in the market modelling.

Stakeholders Interviewed

Primary interviews for this study involved:

  • Manufacturers and suppliers in the market value chain
  • Distributors, channel partners, and integrators
  • End-users / customers (e.g., hospitals, labs, enterprises, consumers, etc., depending on the market)
  • Industry experts, technology specialists, consultants, and regulatory professionals
  • Senior executives (CEOs, CTOs, VPs, Directors) and product managers

Interview Process

Interviews were conducted via:

  • Structured and semi-structured questionnaires
  • Telephonic and video interactions
  • Email correspondences
  • Expert consultation sessions

Primary insights were incorporated into demand modelling, pricing analysis, technology evaluation, and market share estimation.

Data Processing, Normalization, and Validation

All collected data were processed and normalized to ensure consistency and comparability across regions and time frames.

The data validation process included:

  • Standardization of units (currency conversions, volume units, inflation adjustments)
  • Cross-verification of data points across multiple secondary sources
  • Normalization of inconsistent datasets
  • Identification and resolution of data gaps
  • Outlier detection and removal through algorithmic and manual checks
  • Plausibility and coherence checks across segments and geographies

This ensured that the dataset used for modelling was clean, robust, and reliable.

Market Size Estimation and Data Triangulation

Bottom-Up Approach

The bottom-up approach involved aggregating segment-level data, such as:

  • Company revenues
  • Product-level sales
  • Installed base/usage volumes
  • Adoption and penetration rates
  • Pricing analysis

This method was primarily used when detailed micro-level market data were available.

Bottom Up Approach

Top-Down Approach

The top-down approach used macro-level indicators:

  • Parent market benchmarks
  • Global/regional industry trends
  • Economic indicators (GDP, demographics, spending patterns)
  • Penetration and usage ratios

This approach was used for segments where granular data were limited or inconsistent.

Hybrid Triangulation Approach

To ensure accuracy, a triangulated hybrid model was used. This included:

  • Reconciling top-down and bottom-up estimates
  • Cross-checking revenues, volumes, and pricing assumptions
  • Incorporating expert insights to validate segment splits and adoption rates

This multi-angle validation yielded the final market size.

Forecasting Framework and Scenario Modelling

Market forecasts were developed using a combination of time-series modelling, adoption curve analysis, and driver-based forecasting tools.

Forecasting Methods

  • Time-series modelling
  • S-curve and diffusion models (for emerging technologies)
  • Driver-based forecasting (GDP, disposable income, adoption rates, regulatory changes)
  • Price elasticity models
  • Market maturity and lifecycle-based projections

Scenario Analysis

Given inherent uncertainties, three scenarios were constructed:

  • Base-Case Scenario: Expected trajectory under current conditions
  • Optimistic Scenario: High adoption, favourable regulation, strong economic tailwinds
  • Conservative Scenario: Slow adoption, regulatory delays, economic constraints

Sensitivity testing was conducted on key variables, including pricing, demand elasticity, and regional adoption.

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Frequently Asked Questions

Autonomous Mobile Robots Market Size is valued at USD 4.0 Bn in 2024 and is predicted to reach USD 16.7 Bn by the year 2034

Global Autonomous Mobile Robots Market expected to grow at a 15.5% CAGR during the forecast period for 2025-2034

ABB; Bleum; Boston Dynamics; Clearpath Robotics, Inc.; GreyOrange; Harvest Automation; IAM Robotics; inVia Robotics, Inc.; KUKA AG; and Teradyne Inc.

Components, type, end-use, and battery are the key segments of the Autonomous Mobile Robots Market.

Europe region is leading the Autonomous Mobile Robots Market.

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