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Global LiDAR for Mobile Robots (AGV&AMR) Market Strategic Research Report

Global LiDAR for Mobile Robots (AGV&AMR) Market Strategic Re…
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Market Research Reports
Strategic Research Report
Global LiDAR for Mobile Robots (AGV&AMR) Market
$3932025
33.7%CAGR
2032Forecast
Market Research Reports · Global
Market Research Reports Intelligence Series

By Type: Single-line LiDAR, Multi-line LiDAR

By Application: AGV, AMR

Regional Forecast: Asia Pacific, Latin America, MEA, Europe, North America

Key Players: SICK, Neuvition, Inc, Slamtec, Pepperl+Fuchs, SMIT, Shandong Free Optics, Richbeam, Velodyne, Quanegy, IBEO, Hokuyo, Leica, RoboSense, Innoviz, LeddarTech, Newsight, Leuze, GZ Cyndar, YUJIN ROBOT, Foshan Hinson, Osighttech, Jining Keli Photoelectronic, LitraTech, Beijing Leimou, VanJee Technology, FaseLase, Hangzhou OLEI

Region: Global
Formats: PDF, Excel, Word & PowerPoint
Base year: 2025 · forecast to 2032
Length: 179 pages
Market size 2025
$393
Million USD
Forecast CAGR
33.7%
2025-2032
Forecast 2032
$3001.3
Projected
Regions
5
Asia Pacific · Latin America · MEA · Europe · North America

نظرة عامة

Scope of the Report

The global LiDAR for Mobile Robots (AGV&AMR) market size is predicted to grow from US$ 393 million in 2025 to US$ 2,905 million in 2032; it is expected to grow at a CAGR of 33.7% from 2026 to 2032.

Lidar plays an important role in the application of industrial robots. It is mainly used in industrial robots such as AGV and AMR. It is specifically reflected in navigation and positioning, obstacle detection and avoidance, precise positioning and alignment, and personnel safety assurance.In the global lidar market for mobile robots, the leading companies are mainly located in Europe, the United States and China. The market share of the top five companies in the world is close to 56%.

Key Questions Addressed in this Report

What is the 10-year outlook for the global LiDAR for Mobile Robots (AGV&AMR) market?

What factors are driving LiDAR for Mobile Robots (AGV&AMR) market growth, globally and by region?

Which technologies are poised for the fastest growth by market and region?

How do LiDAR for Mobile Robots (AGV&AMR) market opportunities vary by end market size?

How does LiDAR for Mobile Robots (AGV&AMR) break out by Type, by Application?

This report presents a comprehensive overview of the global LiDAR for Mobile Robots (AGV&AMR) market, covering market size and forecast, segmentation by product type and application, competitive landscape, leading players and regional and country-level outlook.

Segment by Type

  • Single-line LiDAR
  • Multi-line LiDAR

Segment by Application

  • AGV
  • AMR

Who Can Use This Report?

This report is written for decision-makers who need a clear, data-backed view of the global LiDAR for Mobile Robots (AGV&AMR) market:

  • Manufacturers, suppliers and solution providers benchmarking their position and planning product, capacity and go-to-market strategy
  • Distributors, channel partners and end users in AGV, AMR evaluating demand and sourcing options
  • Investors, financial analysts and consultants assessing growth opportunities, competitive dynamics and M&A potential
  • Government agencies, industry associations and research institutions tracking industry developments and policy impact

Market snapshot

Global LiDAR for Mobile Robots (AGV&AMR) Market Strategic Research Report snapshot, 2025–2032

Source: Market Research Reports
Market size CAGR 33.7%
Regional growth momentum
Market share by segment
Key metrics
Base value
$393
2025
Forecast
$3001.3
2032
CAGR
33.7%
2025–2032
Regions
5
global
Key companies
SICKNeuvition, IncSlamtecPepperl+FuchsSMITShandong Free OpticsRichbeamVelodyne
© MarketResearchReports.comDisclaimer: The actual data may vary in the final report which undergoes verification check post order confirmation.

Segments covered in this report

By Type
Single-line LiDARMulti-line LiDAR
By Application
AGVAMR

Table of contents

Click a chapter to expand
01Executive Summary
02Industry Overview & Forecast
  • 2.1.1 Market Definition and Scope
  • 2.1.2 Market Size and Growth Forecast
  • 2.1.3 Volume Analysis
  • 2.1.4 Segment Outlook by Type
  • 2.1.5 Segment Outlook by Application
  • 2.1.6 Regional Outlook
  • 2.1.7 Structural Developments Shaping the Forecast
  • 2.1.8 Forecast Risks and Sensitivities
03Market Segmentation by Type
  • 3.1 Market Segmentation by Type
  • 3.1.1 Market by Type Overview
  • 3.1.2 Single-line LiDAR
  • 3.1.3 Multi-line LiDAR
  • 3.1.4 Volume Analysis
04Market Segmentation by Application
  • 4.1 Market Segmentation by Application
  • 4.1.1 Market by Application Overview
  • 4.1.2 AGV
  • 4.1.3 AMR
  • 4.1.4 Volume Analysis
05Regional Market Forecast
  • Asia Pacific
  • North America
  • Europe
  • Middle East & Africa
  • Latin America
06Country-Level Market Forecast
  • 6.1 Asia Pacific
  • 6.1.1 China
  • 6.1.2 Japan
  • 6.1.3 Korea
  • 6.1.4 Southeast Asia
  • 6.1.5 India
  • 6.1.6 Australia
  • 6.1.7 Rest of Asia Pacific
  • 6.2 North America
  • 6.2.1 United States
  • 6.2.2 Canada
  • 6.2.3 Mexico
  • 6.2.4 Rest of North America
  • 6.3 Europe
  • 6.3.1 Germany
  • 6.3.2 France
  • 6.3.3 UK
  • 6.3.4 Italy
  • 6.3.5 Russia
  • 6.3.6 Rest of Europe
  • 6.4 Middle East & Africa
  • 6.4.1 Egypt
  • 6.4.2 South Africa
  • 6.4.3 Israel
  • 6.4.4 Turkey
  • 6.4.5 GCC Countries
  • 6.4.6 Rest of Middle East & Africa
  • 6.5 Latin America
  • 6.5.1 Brazil
  • 6.5.2 Rest of Latin America
07Growth Drivers & Inhibitors
  • 7.1 Growth Drivers & Inhibitors
  • 7.1.1 Section Overview
  • 7.1.2 Growth Drivers
  • 7.1.3 Growth Inhibitors
  • 7.1.4 Driver and Inhibitor Impact Assessment
  • 7.1.5 Analyst Perspective
08Key Company Profiles
  • 8.1 SICK
  • 8.1.1 Company Overview
  • 8.1.2 Key Products & Segments
  • 8.1.3 Financial Performance (2023–2025)
  • 8.1.4 Business Strategy
  • 8.1.5 SWOT Analysis
  • 8.1.6 Strategic Implications (2026–2032)
  • 8.2 Neuvition, Inc
  • 8.2.1 Company Overview
  • 8.2.2 Key Products & Segments
  • 8.2.3 Financial Performance (2023–2025)
  • 8.2.4 Business Strategy
  • 8.2.5 SWOT Analysis
  • 8.2.6 Strategic Implications (2026–2032)
  • 8.3 Slamtec
  • 8.3.1 Company Overview
  • 8.3.2 Key Products & Segments
  • 8.3.3 Financial Performance (2023–2025)
  • 8.3.4 Business Strategy
  • 8.3.5 SWOT Analysis
  • 8.3.6 Strategic Implications (2026–2032)
  • 8.4 Pepperl+Fuchs
  • 8.4.1 Company Overview
  • 8.4.2 Key Products & Segments
  • 8.4.3 Financial Performance (2023–2025)
  • 8.4.4 Business Strategy
  • 8.4.5 SWOT Analysis
  • 8.4.6 Strategic Implications (2026–2032)
  • 8.5 SMIT
  • 8.5.1 Company Overview
  • 8.5.2 Key Products & Segments
  • 8.5.3 Financial Performance (2023–2025)
  • 8.5.4 Business Strategy
  • 8.5.5 SWOT Analysis
  • 8.5.6 Strategic Implications (2026–2032)
  • 8.6 Shandong Free Optics
  • 8.6.1 Company Overview
  • 8.6.2 Key Products & Segments
  • 8.6.3 Financial Performance (2023–2025)
  • 8.6.4 Business Strategy
  • 8.6.5 SWOT Analysis
  • 8.6.6 Strategic Implications (2026–2032)
  • 8.7 Richbeam
  • 8.7.1 Company Overview
  • 8.7.2 Key Products & Segments
  • 8.7.3 Financial Performance (2023–2025)
  • 8.7.4 Business Strategy
  • 8.7.5 SWOT Analysis
  • 8.7.6 Strategic Implications (2026–2032)
  • 8.8 Velodyne
  • 8.8.1 Company Overview
  • 8.8.2 Key Products & Segments
  • 8.8.3 Financial Performance (2023–2025)
  • 8.8.4 Business Strategy
  • 8.8.5 SWOT Analysis
  • 8.8.6 Strategic Implications (2026–2032)
  • 8.9 Quanegy
  • 8.9.1 Company Overview
  • 8.9.2 Key Products & Segments
  • 8.9.3 Financial Performance (2023–2025)
  • 8.9.4 Business Strategy
  • 8.9.5 SWOT Analysis
  • 8.9.6 Strategic Implications (2026–2032)
  • 8.10 IBEO
  • 8.10.1 Company Overview
  • 8.10.2 Key Products & Segments
  • 8.10.3 Financial Performance (2023–2025)
  • 8.10.4 Business Strategy
  • 8.10.5 SWOT Analysis
  • 8.10.6 Strategic Implications (2026–2032)
  • 8.11 Hokuyo
  • 8.11.1 Company Overview
  • 8.11.2 Key Products & Segments
  • 8.11.3 Financial Performance (2023–2025)
  • 8.11.4 Business Strategy
  • 8.11.5 SWOT Analysis
  • 8.11.6 Strategic Implications (2026–2032)
  • 8.12 Leica
  • 8.12.1 Company Overview
  • 8.12.2 Key Products & Segments
  • 8.12.3 Financial Performance (2023–2025)
  • 8.12.4 Business Strategy
  • 8.12.5 SWOT Analysis
  • 8.12.6 Strategic Implications (2026–2032)
  • 8.13 RoboSense
  • 8.13.1 Company Overview
  • 8.13.2 Key Products & Segments
  • 8.13.3 Financial Performance (2023–2025)
  • 8.13.4 Business Strategy
  • 8.13.5 SWOT Analysis
  • 8.13.6 Strategic Implications (2026–2032)
  • 8.14 Innoviz
  • 8.14.1 Company Overview
  • 8.14.2 Key Products & Segments
  • 8.14.3 Financial Performance (2023–2025)
  • 8.14.4 Business Strategy
  • 8.14.5 SWOT Analysis
  • 8.14.6 Strategic Implications (2026–2032)
  • 8.15 LeddarTech
  • 8.15.1 Company Overview
  • 8.15.2 Key Products & Segments
  • 8.15.3 Financial Performance (2023–2025)
  • 8.15.4 Business Strategy
  • 8.15.5 SWOT Analysis
  • 8.15.6 Strategic Implications (2026–2032)
  • 8.16 Newsight
  • 8.16.1 Company Overview
  • 8.16.2 Key Products & Segments
  • 8.16.3 Financial Performance (2023–2025)
  • 8.16.4 Business Strategy
  • 8.16.5 SWOT Analysis
  • 8.16.6 Strategic Implications (2026–2032)
  • 8.17 Leuze
  • 8.17.1 Company Overview
  • 8.17.2 Key Products & Segments
  • 8.17.3 Financial Performance (2023–2025)
  • 8.17.4 Business Strategy
  • 8.17.5 SWOT Analysis
  • 8.17.6 Strategic Implications (2026–2032)
  • 8.18 GZ Cyndar
  • 8.18.1 Company Overview
  • 8.18.2 Key Products & Segments
  • 8.18.3 Financial Performance (2023–2025)
  • 8.18.4 Business Strategy
  • 8.18.5 SWOT Analysis
  • 8.18.6 Strategic Implications (2026–2032)
  • 8.19 YUJIN ROBOT
  • 8.19.1 Company Overview
  • 8.19.2 Key Products & Segments
  • 8.19.3 Financial Performance (2023–2025)
  • 8.19.4 Business Strategy
  • 8.19.5 SWOT Analysis
  • 8.19.6 Strategic Implications (2026–2032)
  • 8.20 Foshan Hinson
  • 8.20.1 Company Overview
  • 8.20.2 Key Products & Segments
  • 8.20.3 Financial Performance (2023–2025)
  • 8.20.4 Business Strategy
  • 8.20.5 SWOT Analysis
  • 8.20.6 Strategic Implications (2026–2032)
  • 8.21 Osighttech
  • 8.21.1 Company Overview
  • 8.21.2 Key Products & Segments
  • 8.21.3 Financial Performance (2023–2025)
  • 8.21.4 Business Strategy
  • 8.21.5 SWOT Analysis
  • 8.21.6 Strategic Implications (2026–2032)
  • 8.22 Jining Keli Photoelectronic
  • 8.22.1 Company Overview
  • 8.22.2 Key Products & Segments
  • 8.22.3 Financial Performance (2023–2025)
  • 8.22.4 Business Strategy
  • 8.22.5 SWOT Analysis
  • 8.22.6 Strategic Implications (2026–2032)
  • 8.23 LitraTech
  • 8.23.1 Company Overview
  • 8.23.2 Key Products & Segments
  • 8.23.3 Financial Performance (2023–2025)
  • 8.23.4 Business Strategy
  • 8.23.5 SWOT Analysis
  • 8.23.6 Strategic Implications (2026–2032)
  • 8.24 Beijing Leimou
  • 8.24.1 Company Overview
  • 8.24.2 Key Products & Segments
  • 8.24.3 Financial Performance (2023–2025)
  • 8.24.4 Business Strategy
  • 8.24.5 SWOT Analysis
  • 8.24.6 Strategic Implications (2026–2032)
  • 8.25 VanJee Technology
  • 8.25.1 Company Overview
  • 8.25.2 Key Products & Segments
  • 8.25.3 Financial Performance (2023–2025)
  • 8.25.4 Business Strategy
  • 8.25.5 SWOT Analysis
  • 8.25.6 Strategic Implications (2026–2032)
  • 8.26 FaseLase
  • 8.26.1 Company Overview
  • 8.26.2 Key Products & Segments
  • 8.26.3 Financial Performance (2023–2025)
  • 8.26.4 Business Strategy
  • 8.26.5 SWOT Analysis
  • 8.26.6 Strategic Implications (2026–2032)
  • 8.27 Hangzhou OLEI
  • 8.27.1 Company Overview
  • 8.27.2 Key Products & Segments
  • 8.27.3 Financial Performance (2023–2025)
  • 8.27.4 Business Strategy
  • 8.27.5 SWOT Analysis
  • 8.27.6 Strategic Implications (2026–2032)
09Competitive Landscape
  • 9.1 Competitive Landscape Overview
  • 9.2 Competitive Intensity Assessment
  • 9.3 Key Player Strategies & Positioning
  • 9.4 Competitive Dynamics & Strategic Outlook
  • 9.4.1 Emerging Competitive Threats
  • 9.4.2 Consolidation vs. Fragmentation Outlook
  • 9.4.3 Competitive Response Matrix
  • 9.4.4 Strategic Recommendations, 2026–2032
10Porter's Five Forces Analysis
  • 10.1 Threat of New Entrants
  • 10.2 Bargaining Power of Buyers
  • 10.3 Bargaining Power of Suppliers
  • 10.4 Threat of Substitutes
  • 10.5 Competitive Rivalry
11PESTLE Analysis
  • 11.1 Political
  • 11.2 Economic
  • 11.3 Social and Demographic
  • 11.4 Technological
  • 11.5 Legal and Regulatory
  • 11.6 Environmental
  • 11.7 Strategic Implications of the PESTLE Assessment
12SWOT Analysis
13Future Trends & Outlook
  • 13.1 Future Trends & Outlook
  • 13.1.1 Trend Summary and Commercial Maturity Assessment
  • 13.1.2 Technology and Innovation Trends
  • 13.1.3 Long-Term Market Outlook
  • 13.1.4 Investment & M&A Activity Outlook
  • 13.1.5 Overall Outlook Assessment

Frequently asked questions

How big is the global LiDAR for Mobile Robots (AGV&AMR) market?
The global LiDAR for Mobile Robots (AGV&AMR) market is estimated at US$ 393 million in 2025 (base year) and is projected to reach US$ 2.9 billion by 2032.
How fast is the LiDAR for Mobile Robots (AGV&AMR) market expected to grow?
The market is expected to grow at a CAGR of 33.7% from 2026 to 2032, expanding from US$ 393 million in 2025 to US$ 2.9 billion in 2032, roughly 7.4 times its base-year value.
What does the LiDAR for Mobile Robots (AGV&AMR) market cover?
Lidar plays an important role in the application of industrial robots. It is mainly used in industrial robots such as AGV and AMR. It is specifically reflected in navigation and positioning, obstacle detection and avoidance, precise positioning and alignment, and personnel safety assurance.In the global lidar market for mobile robots, the leading companies are mainly located in Europe, the United States and China.
What are the main segments of the LiDAR for Mobile Robots (AGV&AMR) market by type?
By type, the market is segmented into Single-line LiDAR and Multi-line LiDAR.
Which applications drive demand in the LiDAR for Mobile Robots (AGV&AMR) market?
Key applications covered include AGV and AMR.
Who are the key players in the LiDAR for Mobile Robots (AGV&AMR) market?
Key players profiled include SICK, Neuvition, Slamtec, Pepperl+Fuchs, SMIT, Shandong Free Optics, Richbeam and Velodyne, among 27 companies covered in total.
Which regions and countries are covered for LiDAR for Mobile Robots (AGV&AMR)?
The market is analysed across Asia Pacific, North America, Europe, Middle East & Africa and Latin America, with 20 country-level markets including China, Japan, United States, Canada, Germany, France, Egypt and South Africa.
What is driving growth in the LiDAR for Mobile Robots (AGV&AMR) market?
What factors are driving LiDAR for Mobile Robots (AGV&AMR) market growth, globally and by region?
Who should buy the LiDAR for Mobile Robots (AGV&AMR) market report?
The report is intended for manufacturers and solution providers, distributors and end users in AGV and AMR, investors and consultants, and government or industry bodies who need market size, segmentation, competitive and regional data for the LiDAR for Mobile Robots (AGV&AMR) market.
What license options are available for this report?
The report is available as a Single User License (US$ 3,500, one named user), a Site License (US$ 5,250, up to 10 users) and a Global / Corporate License (US$ 7,000, unlimited users), all delivered in PDF format.

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01
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02
Market Sizing — Bottom-Up & Top-Down

Dual-validation approach: bottom-up sizing aggregates segment-level production, consumption, and trade data; top-down sizing cross-validates against macroeconomic indicators and total addressable market estimates. Discrepancies >5% trigger analyst review.

03
Competitive Intelligence

Company profiles built from public financial disclosures, product launches, M&A activity, job postings (as capability proxies), and supply chain mapping. Market share estimates triangulated across revenue, capacity, and shipment data.

04
Demand Forecasting

CAGR projections use time-series regression on 5-10 years of historical data, adjusted for identified demand drivers (technology adoption curves, regulatory catalysts, demographic shifts) and demand inhibitors (cost barriers, substitution risk). Scenario modeling covers base, optimistic, and conservative cases.

05
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06
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All data sources are cited within the report. View our full research methodology →
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