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市場調查報告書
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2111192

2034年自主工業運輸系統市場預測－全球導航、車輛類型、組件、軟體類型、技術、應用、最終用戶和區域分析

Autonomous Industrial Transport Systems Market Forecasts to 2034 - Global Analysis By Navigation, Vehicle Type, Component, Software Type, Technology, Application, End User, and By Geography
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 200+ Pages | 商品交期: 2-3個工作天內

價格

根據 Stratistics MRC 的數據，預計到 2026 年，全球自主工業運輸系統市場規模將達到 96 億美元，並在預測期內以 13.2% 的複合年成長率成長，到 2034 年將達到 259 億美元。

自主工業運輸系統是指無需人工駕駛人即可在工廠、倉庫和物流中心內運輸物料和成品的自主車輛和移動機器人。這些系統利用車載感測器和控制器讀取來自雷射、磁條、衛星定位或周圍環境地圖的引導訊號，以規劃安全路線、避開障礙物並與車隊管理軟體協同工作。目標設備包括自動導引車、移動機器人、堆高機、吊運設備和單元貨載運輸車，所有這些設備都整合了硬體、軟體和感測技術，可與人類操作人員安全協同運作。

倉庫人手不足日益嚴重

已開發國家倉儲物流業的人手不足日益嚴重，迫使企業採用自動化運輸解決方案，以便在不增加員工的情況下維持處理能力。設施管理人員正在擴大自動駕駛車輛的使用範圍，用於處理重複性物料搬運工作，從而將熟練員工重新分配到品質檢驗等更高價值的任務中。最低工資的提高也推動了自動化技術的應用，透過使用靈活的機器人車隊，企業可以在旺季擴大處理能力，而無需簽訂長期僱傭合約。

前期實施成本高

車輛、感測器、充電基礎設施和設施維修所需的大量前期投資，仍然是中小製造商和倉儲營運商採用該技術的一大障礙。與現有輸送機系統和安全規程的整合通常需要專業的工程技術支持，這會導致更長的實施週期和意想不到的成本。由於投資回報率的計算高度依賴設施佈局和處理量，一些運營商選擇推遲實施，直到生產效率的提升更加明顯。

進軍電子商務履約領域。

隨著零售商競相降低人事費用、縮短訂單交付時間，履約網路的快速擴張為自動運輸供應商帶來了巨大的機會。為了兌現當日達和隔天達的承諾，履約中心需要以人工操作無法企及的速度移動庫存，這使得自動機器人和堆高機成為優勢。能夠快速部署並與訂單管理平台無縫整合的軟體供應商，將佔據有利地位，滿足此市場需求。

網路安全與安全風險

隨著對連網自動駕駛車隊的依賴日益加深，製造業和物流業面臨網路安全漏洞的威脅。導航和車隊管理軟體的漏洞可能導致生產中斷。即使發生頻率不高，人機互動引發的安全事故也可能引起監管機構的關注，並損害營運商的聲譽。不同地區的安全標準各異，使得在多個市場銷售產品的供應商的認證工作更加複雜。此外，關於自主決策責任歸屬的問題尚未解決，也阻礙了自動駕駛技術在機構間的廣泛應用。

新型冠狀病毒（COVID-19）的影響：

新冠疫情初期，由於工廠在不確定性中暫停了資本投資項目，導致零件採購中斷，車輛交付也隨之延遲。疫情期間，電子商務交易量的激增和強制性的社交隔離措施加速了人們對自動化物料搬運的興趣，以降低工人密度。疫情後，勞動力短缺和生產回流趨勢推動了投資，自動化運輸不再被視為臨時措施，而是成為建立彈性靈活倉儲營運體系的重要組成部分。

在預測期內，SLAM導航領域預計將佔據最大的市場佔有率。

由於SLAM導航無需磁條或反射器等固定基礎設施即可即時繪製陌生環境地圖，預計在預測期內將佔據最大的市場佔有率。設施營運商更青睞這種方法，因為它能縮短部署時間，輕鬆適應佈局變化，並允許車輛動態改變路線以避開障礙物。低廉的安裝成本和柔軟性的操作方式進一步增強了其相對於固定路線引導系統的優勢。

預計在預測期內，自主移動機器人（AMR）細分市場將呈現最高的複合年成長率。

在預測期內，自主移動機器人（AMR）領域預計將呈現最高的成長率，這主要得益於其無需固定基礎設施即可動態移動的能力。與傳統導引車相比，AMR 的安裝成本更低，引進週期更短。營運商非常重視 AMR 車隊的擴充性，因為他們可以根據季節性需求分階段增加設備。車載感測器和車隊編配軟體的進步正在持續推動 AMR 在各個設施中的部署。

市佔率最大的地區：

在預測期內，北美預計將佔據最大的市場佔有率，這主要得益於電子商務、零售和汽車物流運營中倉庫自動化技術的早期和廣泛應用。美國正在推動該地區的需求成長，這得益於大規模履約中心的建設以及主要物流和零售公司的持續投資。高昂的人事費用推動了自動化技術的商業化應用，而汽車製造商成熟的生態系統則加速了自動化技術在各類設施中的普及。

複合年成長率最高的地區：

在預測期內，由於中國、印度和東南亞製造業產能和電子商務基礎設施的快速擴張，亞太地區預計將呈現最高的複合年成長率。政府推動智慧製造的措施鼓勵當地生產企業投資自主物料輸送系統。製造地人事費用的上漲（先前勞動力成本較低）進一步促使營運商轉向自動化，而國內機器人製造商則為區域工廠和營運提供具有成本競爭力的解決方案。

免費客製化服務：

所有購買此報告的客戶均可享受以下免費自訂選項之一：

  • 企業概況
    • 對其他市場參與者（最多 3 家公司）進行全面分析
    • 對主要公司進行SWOT分析（最多3家公司）
  • 區域分類
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    • 根據產品系列、企業發展和策略聯盟對重點公司進行基準分析。

目錄

第1章執行摘要

  • 市場概覽及主要亮點
  • 促進因素、挑戰與機遇
  • 競爭格局概述
  • 戰略洞察與建議

第2章：研究框架

  • 研究目標和範圍
  • 相關人員分析
  • 研究假設和限制
  • 調查方法

第3章 市場動態與趨勢分析

  • 市場定義與結構
  • 主要市場促進因素
  • 市場限制與挑戰
  • 投資成長機會和重點領域
  • 產業威脅與風險評估
  • 技術與創新展望
  • 新興市場/高成長市場
  • 監管和政策環境
  • 新冠疫情的影響及復甦前景

第4章：競爭環境與策略評估

  • 波特五力分析
    • 供應商的議價能力
    • 買方的議價能力
    • 替代品的威脅
    • 新進入者的威脅
    • 競爭公司之間的競爭
  • 主要公司市佔率分析
  • 產品基準評效和效能比較

第5章 全球自主工業運輸系統市場：依導航系統分類

  • 雷射導
  • 視覺引導
  • 磁感應
  • GPS導航
  • SLAM導航

第6章 全球自主工業運輸系統市場：依車輛類型分類

  • 自動導引運輸車（AGV）
  • 自主移動機器人（AMR）
  • 自動堆高機
  • 標籤機器人
  • 單元貨載裝載機

第7章 全球自主工業運輸系統市場：依組件分類

  • 硬體
  • 軟體
  • 服務

第8章 全球自主工業運輸系統市場：依軟體類型分類

  • 車隊管理
  • 導航軟體
  • 資產管理
  • 分析軟體

第9章 全球自主工業運輸系統市場：依技術分類

  • 人工智慧
  • 電腦視覺
  • LiDAR
  • IoT
  • 5G連接

第10章 全球自主工業運輸系統市場：依應用領域分類

  • 物料輸送
  • 倉庫自動化
  • 生產與物流
  • 訂單處理
  • 庫存運輸
  • 越庫作業

第11章 全球自主工業運輸系統市場：依最終用戶分類

  • 製造業
  • 車
  • 電子商務
  • 食品/飲料
  • 衛生保健
  • 第三方物流
  • 半導體

第12章 全球自主工業運輸系統市場：依地區分類

  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 英國
    • 德國
    • 法國
    • 義大利
    • 西班牙
    • 荷蘭
    • 比利時
    • 瑞典
    • 瑞士
    • 波蘭
    • 其他歐洲國家
  • 亞太地區
    • 中國
    • 日本
    • 印度
    • 韓國
    • 澳洲
    • 印尼
    • 泰國
    • 馬來西亞
    • 新加坡
    • 越南
    • 其他亞太國家
  • 南美洲
    • 巴西
    • 阿根廷
    • 哥倫比亞
    • 智利
    • 秘魯
    • 其他南美國家
  • 世界其他地區（RoW）
    • 中東
      • 沙烏地阿拉伯
      • 阿拉伯聯合大公國
      • 卡達
      • 以色列
      • 其他中東國家
    • 非洲
      • 南非
      • 埃及
      • 摩洛哥
      • 其他非洲國家

第13章 戰略市場資訊

  • 工業價值網路和供應鏈評估
  • 空白區域和機會地圖
  • 產品演進與市場生命週期分析
  • 通路、經銷商和打入市場策略的評估

第14章 產業趨勢與策略舉措

  • 併購
  • 夥伴關係、聯盟和合資企業
  • 新產品發布和認證
  • 擴大生產能力和投資
  • 其他策略舉措

第14章：公司簡介

  • Toyota Industries Corporation
  • Daifuku Co., Ltd.
  • KION Group AG
  • Jungheinrich AG
  • Mitsubishi Logisnext Co., Ltd.
  • SSI SCHAEFER Group
  • Dematic Corp.
  • Swisslog Holding AG
  • Geekplus Technology Co., Ltd.
  • Seegrid Corporation
  • Omron Corporation
  • ABB Ltd.
  • Siemens AG
  • Honeywell International Inc.
  • Rockwell Automation, Inc.
  • Zebra Technologies Corporation
Product Code: SMRC38825

According to Stratistics MRC, the Global Autonomous Industrial Transport Systems Market is accounted for $9.6 billion in 2026 and is expected to reach $25.9 billion by 2034 growing at a CAGR of 13.2% during the forecast period. Autonomous industrial transport systems refer to self-guided vehicles and mobile robots that move materials and finished goods across factory floors, warehouses, and distribution centers without a human driver. These systems rely on onboard sensors and controllers that read guidance cues from lasers, magnetic strips, satellite positioning, or mapped surroundings to plan safe paths, avoid obstacles, and coordinate with fleet management software. Units include guided vehicles, mobile robots, forklifts, tuggers, and unit load carriers, built with hardware, software, and sensing technology for safe operation alongside workers.

Market Dynamics:

Driver:

Rising warehouse labor shortages

Persistent shortages of warehouse and logistics labor across developed economies are pushing operators toward autonomous transport solutions that sustain throughput without additional headcount. Facility managers increasingly deploy self-guided vehicles to handle repetitive material movement, freeing skilled staff for higher-value activities such as quality inspection. Rising minimum wages strengthen the case for automation, while flexible robot fleets let operators scale capacity during peak seasons without long-term hiring commitments.

Restraint:

High initial deployment costs

Significant upfront capital requirements for vehicles, sensors, charging infrastructure, and facility retrofits continue to restrain adoption among small and mid-sized manufacturers and warehouse operators. Integration with legacy conveyor systems and existing safety protocols often demands specialized engineering support, which extends implementation timelines and adds unplanned expense. Return on investment calculations remain sensitive to facility layout and throughput volume, causing some operators to delay deployment until clearer productivity gains are demonstrated.

Opportunity:

Expansion into e-commerce fulfillment

The rapid expansion of e-commerce fulfillment networks presents substantial opportunities for autonomous transport providers as retailers race to compress order-to-delivery times while containing labor expense. Same-day and next-day delivery commitments require fulfillment centers to move inventory faster than manual processes allow, favoring fleets of autonomous mobile robots and forklifts. Vendors offering rapid deployment and software that integrates smoothly with order management platforms are well positioned to capture this demand.

Threat:

Cybersecurity and safety risks

Growing reliance on networked fleets of autonomous vehicles exposes manufacturing and logistics operations to cybersecurity vulnerabilities that could disrupt production if navigation or fleet management software is compromised. Safety incidents involving human-robot interaction, even when rare, can trigger regulatory scrutiny and damage operator confidence. Fragmented safety standards across regions complicate certification for vendors selling into multiple markets, while liability questions surrounding autonomous decision-making remain unresolved, slowing broader institutional acceptance.

Covid-19 Impact:

The COVID-19 pandemic initially disrupted component sourcing and delayed vehicle deployments as factories paused capital projects amid uncertainty. Mid-pandemic, surging e-commerce volumes and distancing mandates accelerated interest in autonomous material handling to reduce worker density. Post-pandemic, labor scarcity and reshoring initiatives sustained investment, cementing autonomous transport as a structural component of resilient, flexible warehouse operations rather than a temporary measure.

The SLAM navigation segment is expected to be the largest during the forecast period

The SLAM navigation segment is expected to account for the largest market share during the forecast period, due to its ability to map unfamiliar environments in real time without fixed infrastructure such as magnetic strips or reflectors. Facility operators favor this approach because it shortens deployment timelines and adapts readily to layout changes, while enabling vehicles to reroute dynamically around obstacles. Lower installation cost and operational flexibility reinforce its lead over fixed-path guidance methods.

The autonomous mobile robots (AMRs) segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the autonomous mobile robots (AMRs) segment is predicted to witness the highest growth rate, driven by their ability to navigate dynamically without fixed infrastructure, which reduces installation cost and shortens deployment cycles compared with traditional guided vehicles. Operators value the scalability of AMR fleets, as units can be added incrementally to match seasonal demand. Advances in onboard sensing and fleet orchestration software sustain strong adoption momentum across facilities.

Region with largest share:

During the forecast period, the North America region is expected to hold the largest market share, due to early and widespread adoption of warehouse automation across e-commerce, retail, and automotive logistics operations. The United States leads regional demand, supported by large-scale fulfillment center construction and sustained investment from major logistics and retail companies. High labor costs reinforce the business case for automation, while a mature ecosystem of vehicle manufacturers accelerates deployment across facility types.

Region with highest CAGR:

Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR, due to rapid expansion of manufacturing capacity and e-commerce infrastructure across China, India, and Southeast Asia. Government initiatives promoting smart manufacturing encourage local production facilities to invest in autonomous material handling systems. Rising labor costs in traditionally low-wage manufacturing hubs further push operators toward automation, while domestic robotics manufacturers offer cost-competitive solutions for regional facilities and operations.

Key players in the market

Some of the key players in Autonomous Industrial Transport Systems Market include Toyota Industries Corporation, Daifuku Co., Ltd., KION Group AG, Jungheinrich AG, Mitsubishi Logisnext Co., Ltd., SSI SCHAEFER Group, Dematic Corp., Swisslog Holding AG, Geekplus Technology Co., Ltd., Seegrid Corporation, Omron Corporation, ABB Ltd., Siemens AG, Honeywell International Inc., Rockwell Automation, Inc. and Zebra Technologies Corporation.

Key Developments:

In June 2026, Daifuku Co., Ltd. unveiled an upgraded autonomous forklift line with enhanced obstacle detection and battery efficiency, targeting large-scale distribution centers seeking to reduce operating costs while maintaining continuous multi-shift material handling throughput.

In May 2026, Geekplus Technology Co., Ltd. partnered with a major European retailer to deploy a mixed fleet of autonomous mobile robots across three fulfillment centers, aiming to cut average order processing time significantly.

In April 2026, KION Group AG expanded its North American manufacturing footprint to accelerate production of autonomous forklifts and tugger robots, addressing rising demand from automotive and food and beverage manufacturers.

Navigation Types Covered:

  • Laser Guidance
  • Vision Guidance
  • Magnetic Guidance
  • GPS Navigation
  • SLAM Navigation

Vehicle Types Covered:

  • Automated Guided Vehicles (AGVs)
  • Autonomous Mobile Robots (AMRs)
  • Autonomous Forklifts
  • Tugger Robots
  • Unit Load Carriers

Components Covered:

  • Hardware
  • Software
  • Services

Software Types Covered:

  • Fleet Management
  • Navigation Software
  • Asset Management
  • Analytics Software

Technologies Covered:

  • Artificial Intelligence
  • Computer Vision
  • LiDAR
  • IoT
  • 5G Connectivity

Applications Covered:

  • Material Handling
  • Warehouse Automation
  • Production Logistics
  • Order Fulfillment
  • Inventory Transport
  • Cross-Docking

Regions Covered:

  • North America
    • United States
    • Canada
    • Mexico
  • Europe
    • United Kingdom
    • Germany
    • France
    • Italy
    • Spain
    • Netherlands
    • Belgium
    • Sweden
    • Switzerland
    • Poland
    • Rest of Europe
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Australia
    • Indonesia
    • Thailand
    • Malaysia
    • Singapore
    • Vietnam
    • Rest of Asia Pacific
  • South America
    • Brazil
    • Argentina
    • Colombia
    • Chile
    • Peru
    • Rest of South America
  • Rest of the World (RoW)
    • Middle East
  • Saudi Arabia
  • United Arab Emirates
  • Qatar
  • Israel
  • Rest of Middle East
    • Africa
  • South Africa
  • Egypt
  • Morocco
  • Rest of Africa

What our report offers:

  • Market share assessments for the regional and country-level segments
  • Strategic recommendations for the new entrants
  • Covers Market data for the years 2023, 2024, 2025, 2026, 2027, 2028, 2030, 2032 and 2034
  • Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
  • Strategic recommendations in key business segments based on the market estimations
  • Competitive landscaping mapping the key common trends
  • Company profiling with detailed strategies, financials, and recent developments
  • Supply chain trends mapping the latest technological advancements

Free Customization Offerings:

All the customers of this report will be entitled to receive one of the following free customization options:

  • Company Profiling
    • Comprehensive profiling of additional market players (up to 3)
    • SWOT Analysis of key players (up to 3)
  • Regional Segmentation
    • Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
  • Competitive Benchmarking
    • Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary

  • 1.1 Market Snapshot and Key Highlights
  • 1.2 Growth Drivers, Challenges, and Opportunities
  • 1.3 Competitive Landscape Overview
  • 1.4 Strategic Insights and Recommendations

2 Research Framework

  • 2.1 Study Objectives and Scope
  • 2.2 Stakeholder Analysis
  • 2.3 Research Assumptions and Limitations
  • 2.4 Research Methodology
    • 2.4.1 Data Collection (Primary and Secondary)
    • 2.4.2 Data Modeling and Estimation Techniques
    • 2.4.3 Data Validation and Triangulation
    • 2.4.4 Analytical and Forecasting Approach

3 Market Dynamics and Trend Analysis

  • 3.1 Market Definition and Structure
  • 3.2 Key Market Drivers
  • 3.3 Market Restraints and Challenges
  • 3.4 Growth Opportunities and Investment Hotspots
  • 3.5 Industry Threats and Risk Assessment
  • 3.6 Technology and Innovation Landscape
  • 3.7 Emerging and High-Growth Markets
  • 3.8 Regulatory and Policy Environment
  • 3.9 Impact of COVID-19 and Recovery Outlook

4 Competitive and Strategic Assessment

  • 4.1 Porter's Five Forces Analysis
    • 4.1.1 Supplier Bargaining Power
    • 4.1.2 Buyer Bargaining Power
    • 4.1.3 Threat of Substitutes
    • 4.1.4 Threat of New Entrants
    • 4.1.5 Competitive Rivalry
  • 4.2 Market Share Analysis of Key Players
  • 4.3 Product Benchmarking and Performance Comparison

5 Global Autonomous Industrial Transport Systems Market, By Navigation

  • 5.1 Laser Guidance
  • 5.2 Vision Guidance
  • 5.3 Magnetic Guidance
  • 5.4 GPS Navigation
  • 5.5 SLAM Navigation

6 Global Autonomous Industrial Transport Systems Market, By Vehicle Type

  • 6.1 Automated Guided Vehicles (AGVs)
  • 6.2 Autonomous Mobile Robots (AMRs)
  • 6.3 Autonomous Forklifts
  • 6.4 Tugger Robots
  • 6.5 Unit Load Carriers

7 Global Autonomous Industrial Transport Systems Market, By Component

  • 7.1 Hardware
  • 7.2 Software
  • 7.3 Services

8 Global Autonomous Industrial Transport Systems Market, By Software Type

  • 8.1 Fleet Management
  • 8.2 Navigation Software
  • 8.3 Asset Management
  • 8.4 Analytics Software

9 Global Autonomous Industrial Transport Systems Market, By Technology

  • 9.1 Artificial Intelligence
  • 9.2 Computer Vision
  • 9.3 LiDAR
  • 9.4 IoT
  • 9.5 5G Connectivity

10 Global Autonomous Industrial Transport Systems Market, By Application

  • 10.1 Material Handling
  • 10.2 Warehouse Automation
  • 10.3 Production Logistics
  • 10.4 Order Fulfillment
  • 10.5 Inventory Transport
  • 10.6 Cross-Docking

11 Global Autonomous Industrial Transport Systems Market, By End User

  • 11.1 Manufacturing
  • 11.2 Automotive
  • 11.3 E-Commerce
  • 11.4 Food and Beverage
  • 11.5 Healthcare
  • 11.6 Third-Party Logistics
  • 11.7 Semiconductor

12 Global Autonomous Industrial Transport Systems Market, By Geography

  • 12.1 North America
    • 12.1.1 United States
    • 12.1.2 Canada
    • 12.1.3 Mexico
  • 12.2 Europe
    • 12.2.1 United Kingdom
    • 12.2.2 Germany
    • 12.2.3 France
    • 12.2.4 Italy
    • 12.2.5 Spain
    • 12.2.6 Netherlands
    • 12.2.7 Belgium
    • 12.2.8 Sweden
    • 12.2.9 Switzerland
    • 12.2.10 Poland
    • 12.2.11 Rest of Europe
  • 12.3 Asia Pacific
    • 12.3.1 China
    • 12.3.2 Japan
    • 12.3.3 India
    • 12.3.4 South Korea
    • 12.3.5 Australia
    • 12.3.6 Indonesia
    • 12.3.7 Thailand
    • 12.3.8 Malaysia
    • 12.3.9 Singapore
    • 12.3.10 Vietnam
    • 12.3.11 Rest of Asia Pacific
  • 12.4 South America
    • 12.4.1 Brazil
    • 12.4.2 Argentina
    • 12.4.3 Colombia
    • 12.4.4 Chile
    • 12.4.5 Peru
    • 12.4.6 Rest of South America
  • 12.5 Rest of the World (RoW)
    • 12.5.1 Middle East
      • 12.5.1.1 Saudi Arabia
      • 12.5.1.2 United Arab Emirates
      • 12.5.1.3 Qatar
      • 12.5.1.4 Israel
      • 12.5.1.5 Rest of Middle East
    • 12.5.2 Africa
      • 12.5.2.1 South Africa
      • 12.5.2.2 Egypt
      • 12.5.2.3 Morocco
      • 12.5.2.4 Rest of Africa

13 Strategic Market Intelligence

  • 13.1 Industry Value Network and Supply Chain Assessment
  • 13.2 White-Space and Opportunity Mapping
  • 13.3 Product Evolution and Market Life Cycle Analysis
  • 13.4 Channel, Distributor, and Go-to-Market Assessment

14 Industry Developments and Strategic Initiatives

  • 14.1 Mergers and Acquisitions
  • 14.2 Partnerships, Alliances, and Joint Ventures
  • 14.3 New Product Launches and Certifications
  • 14.4 Capacity Expansion and Investments
  • 14.5 Other Strategic Initiatives

14 Company Profiles

  • 14.1 Toyota Industries Corporation
  • 14.2 Daifuku Co., Ltd.
  • 14.3 KION Group AG
  • 14.4 Jungheinrich AG
  • 14.5 Mitsubishi Logisnext Co., Ltd.
  • 14.6 SSI SCHAEFER Group
  • 14.7 Dematic Corp.
  • 14.8 Swisslog Holding AG
  • 14.9 Geekplus Technology Co., Ltd.
  • 14.10 Seegrid Corporation
  • 14.11 Omron Corporation
  • 14.12 ABB Ltd.
  • 14.13 Siemens AG
  • 14.14 Honeywell International Inc.
  • 14.15 Rockwell Automation, Inc.
  • 14.16 Zebra Technologies Corporation

List of Tables

  • Table 1 Global Autonomous Industrial Transport Systems Market Outlook, By Region (2023-2034) ($MN)
  • Table 2 Global Autonomous Industrial Transport Systems Market Outlook, By Navigation (2023-2034) ($MN)
  • Table 3 Global Autonomous Industrial Transport Systems Market Outlook, By Laser Guidance (2023-2034) ($MN)
  • Table 4 Global Autonomous Industrial Transport Systems Market Outlook, By Vision Guidance (2023-2034) ($MN)
  • Table 5 Global Autonomous Industrial Transport Systems Market Outlook, By Magnetic Guidance (2023-2034) ($MN)
  • Table 6 Global Autonomous Industrial Transport Systems Market Outlook, By GPS Navigation (2023-2034) ($MN)
  • Table 7 Global Autonomous Industrial Transport Systems Market Outlook, By SLAM Navigation (2023-2034) ($MN)
  • Table 8 Global Autonomous Industrial Transport Systems Market Outlook, By Vehicle Type (2023-2034) ($MN)
  • Table 9 Global Autonomous Industrial Transport Systems Market Outlook, By Automated Guided Vehicles (AGVs) (2023-2034) ($MN)
  • Table 10 Global Autonomous Industrial Transport Systems Market Outlook, By Autonomous Mobile Robots (AMRs) (2023-2034) ($MN)
  • Table 11 Global Autonomous Industrial Transport Systems Market Outlook, By Autonomous Forklifts (2023-2034) ($MN)
  • Table 12 Global Autonomous Industrial Transport Systems Market Outlook, By Tugger Robots (2023-2034) ($MN)
  • Table 13 Global Autonomous Industrial Transport Systems Market Outlook, By Unit Load Carriers (2023-2034) ($MN)
  • Table 14 Global Autonomous Industrial Transport Systems Market Outlook, By Component (2023-2034) ($MN)
  • Table 15 Global Autonomous Industrial Transport Systems Market Outlook, By Hardware (2023-2034) ($MN)
  • Table 16 Global Autonomous Industrial Transport Systems Market Outlook, By Software (2023-2034) ($MN)
  • Table 17 Global Autonomous Industrial Transport Systems Market Outlook, By Services (2023-2034) ($MN)
  • Table 18 Global Autonomous Industrial Transport Systems Market Outlook, By Software Type (2023-2034) ($MN)
  • Table 19 Global Autonomous Industrial Transport Systems Market Outlook, By Fleet Management (2023-2034) ($MN)
  • Table 20 Global Autonomous Industrial Transport Systems Market Outlook, By Navigation Software (2023-2034) ($MN)
  • Table 21 Global Autonomous Industrial Transport Systems Market Outlook, By Asset Management (2023-2034) ($MN)
  • Table 22 Global Autonomous Industrial Transport Systems Market Outlook, By Analytics Software (2023-2034) ($MN)
  • Table 23 Global Autonomous Industrial Transport Systems Market Outlook, By Technology (2023-2034) ($MN)
  • Table 24 Global Autonomous Industrial Transport Systems Market Outlook, By Artificial Intelligence (2023-2034) ($MN)
  • Table 25 Global Autonomous Industrial Transport Systems Market Outlook, By Computer Vision (2023-2034) ($MN)
  • Table 26 Global Autonomous Industrial Transport Systems Market Outlook, By LiDAR (2023-2034) ($MN)
  • Table 27 Global Autonomous Industrial Transport Systems Market Outlook, By IoT (2023-2034) ($MN)
  • Table 28 Global Autonomous Industrial Transport Systems Market Outlook, By 5G Connectivity (2023-2034) ($MN)
  • Table 29 Global Autonomous Industrial Transport Systems Market Outlook, By Application (2023-2034) ($MN)
  • Table 30 Global Autonomous Industrial Transport Systems Market Outlook, By Material Handling (2023-2034) ($MN)
  • Table 31 Global Autonomous Industrial Transport Systems Market Outlook, By Warehouse Automation (2023-2034) ($MN)
  • Table 32 Global Autonomous Industrial Transport Systems Market Outlook, By Production Logistics (2023-2034) ($MN)
  • Table 33 Global Autonomous Industrial Transport Systems Market Outlook, By Order Fulfillment (2023-2034) ($MN)
  • Table 34 Global Autonomous Industrial Transport Systems Market Outlook, By Inventory Transport (2023-2034) ($MN)
  • Table 35 Global Autonomous Industrial Transport Systems Market Outlook, By Cross-Docking (2023-2034) ($MN)
  • Table 36 Global Autonomous Industrial Transport Systems Market Outlook, By End User (2023-2034) ($MN)
  • Table 37 Global Autonomous Industrial Transport Systems Market Outlook, By Manufacturing (2023-2034) ($MN)
  • Table 38 Global Autonomous Industrial Transport Systems Market Outlook, By Automotive (2023-2034) ($MN)
  • Table 39 Global Autonomous Industrial Transport Systems Market Outlook, By E-Commerce (2023-2034) ($MN)
  • Table 40 Global Autonomous Industrial Transport Systems Market Outlook, By Food and Beverage (2023-2034) ($MN)
  • Table 41 Global Autonomous Industrial Transport Systems Market Outlook, By Healthcare (2023-2034) ($MN)
  • Table 42 Global Autonomous Industrial Transport Systems Market Outlook, By Third-Party Logistics (2023-2034) ($MN)
  • Table 43 Global Autonomous Industrial Transport Systems Market Outlook, By Semiconductor (2023-2034) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Rest of the World (RoW) Regions are also represented in the same manner as above.