세계의 자율주행 지게차 시장 규모 : 제품별, 내비게이션 기술별, 용도별, 최종사용자 산업별, 톤수별 - 예측(2024-2032년)

The autonomous forklift market size is set to record 12% CAGR between 2024 and 2032 driven by the increasing demand for automation and efficiency in material handling operations. For instance, in February 2024, ArcBest unveiled autonomous forklifts and reach trucks capable of remote operation. Autonomous forklifts offer advantages, such as enhanced productivity, reduced labor costs, and improved safety by eliminating the need for human operators in hazardous environments. This automation allows continuous operations without breaks, leading to higher throughput and optimized warehouse management.

Advancements in AI and sensor technologies are also propelling market growth by enabling autonomous forklifts to navigate complex environments and adapt to dynamic operational conditions. These technologies facilitate precise navigation, obstacle detection, and object recognition for ensuring efficient and reliable material handling processes. The scalability of autonomous forklift solutions and their integration with existing warehouse management systems will further drive their adoption across various industries.

The industry is segmented into product, tonnage, navigation technology, application, end-user industry and region.

Based on product, the autonomous forklift market size from the warehouse segment is slated to gain momentum through 2032, due to increasing pressures to enhance operational efficiency and reduce labor costs in logistics and distribution centers. Autonomous forklifts offer significant benefits in warehouse environments by automating routine tasks, such as goods transport, stacking, and retrieval. These vehicles also operate continuously without breaks while optimizing workflow and minimizing downtime, thereby increasing overall productivity.

Autonomous forklifts market from the manufacturing end-use segment is anticipated to observe a decent growth rate between 2024 and 2032. This is owing to the increasing adoption of automation technologies to optimize production processes and improve efficiency. Autonomous forklifts help in manufacturing operations by automating material handling tasks, such as loading, unloading, and transporting goods within factories and assembly lines.

North America autonomous forklifts industry will grow substantially over 2024-2032 due to the strong emphasis on adopting advanced automation solutions to improve operational efficiency and reduce labor costs across various industries, such as logistics, manufacturing, and retail. The presence of a mature industrial sector, coupled with increasing investments in smart manufacturing and logistics infrastructure is creating a conducive environment for regional product adoption.

Table of Contents

Chapter 1 Methodology & Scope

• 1.1 Research design
  • 1.1.1 Research approach
  • 1.1.2 Data collection methods
• 1.2 Base estimates and calculations
  • 1.2.1 Base year calculation
  • 1.2.2 Key trends for market estimates
• 1.3 Forecast model
• 1.4 Primary research & validation
  • 1.4.1 Primary sources
  • 1.4.2 Data mining sources
• 1.5 Market definitions

Chapter 2 Executive Summary

• 2.1 Industry 360° synopsis, 2021 - 2032

Chapter 3 Industry Insights

• 3.1 Industry ecosystem analysis
• 3.2 Supplier landscape
  • 3.2.1 Raw material suppliers
  • 3.2.2 Manufacturers
  • 3.2.3 Automation technology providers
  • 3.2.4 Software developers
  • 3.2.5 System integrators
  • 3.2.6 End-users
• 3.3 Profit margin analysis
• 3.4 Technology & innovation landscape
• 3.5 Patent analysis
• 3.6 Key news & initiatives
• 3.7 Regulatory landscape
• 3.8 Impact forces
  • 3.8.1 Growth drivers
    • 3.8.1.1 Growth of warehouse and logistics industries
    • 3.8.1.2 Advancements in navigation technology
    • 3.8.1.3 Growing labor shortages in Europe
    • 3.8.1.4 Rising demand for automation in warehouses and logistics centers
  • 3.8.2 Industry pitfalls & challenges
    • 3.8.2.1 High initial investment for autonomous forklift
    • 3.8.2.2 Complex warehouse environments causing technical hurdles
• 3.9 Growth potential analysis
• 3.10 Porter's analysis
• 3.11 PESTEL analysis

Chapter 4 Competitive Landscape, 2023

• 4.1 Introduction
• 4.2 Company market share analysis
• 4.3 Competitive positioning matrix
• 4.4 Strategic outlook matrix

Chapter 5 Market Estimates & Forecast, By Product, 2021 - 2032 (USD Billion, Units)

• 5.1 Key trends
• 5.2 Warehouse
• 5.3 Counterbalance
• 5.4 Others

Chapter 6 Market Estimates & Forecast, By Tonnage, 2021 - 2032 (USD Billion, Units)

• 6.1 Key trends
• 6.2 Below 5 tons
• 6.3 5-10 tons
• 6.4 Above 10 tons

Chapter 7 Market Estimates & Forecast, By Navigation Technology, 2021 - 2032 (USD Billion, Units)

• 7.1 Key trends
• 7.2 Laser guidance
• 7.3 Magnetic guidance
• 7.4 Inductive guidance
• 7.5 Optical tape guidance
• 7.6 Vision guidance
• 7.7 Simultaneous localization & mapping (SLAM)
• 7.8 Others

Chapter 8 Market Estimates & Forecast, By Application, 2021 - 2032 (USD Billion, Units)

• 8.1 Key trends
• 8.2 Manufacturing
• 8.3 Warehousing
• 8.4 Material handling
• 8.5 Logistics & freight
• 8.6 Others

Chapter 9 Market Estimates & Forecast, By End-user Industry, 2021 - 2032 (USD Billion, Units)

• 9.1 Key trends
• 9.2 Chemical
• 9.3 Food & beverage
• 9.4 Manufacturing
• 9.5 Logistics & warehousing
• 9.6 Retail & e-commerce
• 9.7 Others

Chapter 10 Market Estimates & Forecast, By Region, 2021 - 2032 (USD Billion, Units)

• 10.1 Key trends
• 10.2 North America
  • 10.2.1 U.S.
  • 10.2.2 Canada
• 10.3 Europe
  • 10.3.1 UK
  • 10.3.2 Germany
  • 10.3.3 France
  • 10.3.4 Spain
  • 10.3.5 Italy
  • 10.3.6 Russia
  • 10.3.7 Nordics
  • 10.3.8 Rest of Europe
• 10.4 Asia Pacific
  • 10.4.1 China
  • 10.4.2 India
  • 10.4.3 Japan
  • 10.4.4 South Korea
  • 10.4.5 ANZ
  • 10.4.6 Southeast Asia
  • 10.4.7 Rest of Asia Pacific
• 10.5 Latin America
  • 10.5.1 Brazil
  • 10.5.2 Mexico
  • 10.5.3 Argentina
  • 10.5.4 Rest of Latin America
• 10.6 MEA
  • 10.6.1 UAE
  • 10.6.2 South Africa
  • 10.6.3 Saudi Arabia
  • 10.6.4 Rest of MEA

Chapter 11 Company Profiles

• 11.1 Anhui Heli Co., Ltd.
• 11.2 Balyo SA
• 11.3 BlueBotics SA
• 11.4 BYD Company Limited
• 11.5 Clark Material Handling Company
• 11.6 Combilift Ltd.
• 11.7 Crown Equipment Corporation
• 11.8 Daifuku Co., Ltd.
• 11.9 Doosan Corporation Industrial Vehicle
• 11.10 EK Automation GmbH
• 11.11 Godrej & Boyce Mfg. Co. Ltd.
• 11.12 Hangcha Group Co., Ltd.
• 11.13 Hyster-Yale Materials Handling, Inc.
• 11.14 Hyundai Heavy Industries Co., Ltd.
• 11.15 Jungheinrich AG
• 11.16 KION Group AG
• 11.17 Komatsu Ltd.
• 11.18 Mitsubishi Logisnext Co., Ltd.
• 11.19 Seegrid Corporation
• 11.20 Toyota Industries Corporation
• 11.21 Yale Materials Handling Corporation