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Autonomous Forklift Trucks Market By Product Type (Reach Forklift Truck, Counterbalance Forklift Truck, Others), By Engine Type (Electric, Diesel, Gasoline & LPG/CNG), By End-user (Manufacturing, Logistics, Food Industry, Wholesale & Retail, Mining & Construction, Others), By Vehicle Class (Class I, Class II, Class III, Class IV, Class V), By Automation Level (Level 1, Level 2, Level 3, Others) – Growth, Share, Opportunities & Competitive Analysis, 2024 – 2032

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Published: | Report ID: 1744 | Report Format : PDF
REPORT ATTRIBUTE DETAILS
Historical Period 2019-2022
Base Year 2023
Forecast Period 2024-2032
Autonomous Forklift Trucks Market Size 2024 USD 5,747.2 million
Autonomous Forklift Trucks Market, CAGR 11.95%
Autonomous Forklift Trucks Market Size 2032 USD 14,179.11 million

Market Overview

The global market for autonomous forklift trucks is expected to grow from USD 5,747.2 million in 2024 to USD 14,179.11 million by 2032, at a CAGR of 11.95%.

The growing demand for automation in material handling, along with advancements in AI and robotics, is driving the market for autonomous forklift trucks. These vehicles enhance operational efficiency by reducing human error, improving safety, and lowering labor costs. Additionally, their ability to operate in 24/7 environments, coupled with integration into smart warehouses, boosts productivity. Trends such as the increasing adoption of Industry 4.0 technologies and the push for more sustainable operations are further accelerating growth. Furthermore, ongoing improvements in battery life, navigation, and safety systems are enhancing the capabilities and reliability of autonomous forklift trucks.

The market for autonomous forklift trucks is growing globally, with North America and Europe leading in adoption due to their advanced warehouse automation needs. In North America, the U.S. has emerged as a key player, driven by the demand for efficient material handling in sectors like e-commerce and manufacturing. Europe follows closely, with countries such as Germany, Austria, and the UK focusing on smart factory solutions. Key players such as Toyota Industries Corporation (Japan), KION Group AG (Germany), Mitsubishi Caterpillar Forklift America Inc. (U.S.), and Seegrid Corporation (U.S.) are driving technological advancements and market expansion.

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Market Drivers

Enhanced Safety

One of the key advantages of autonomous forklifts is their ability to reduce the risk of accidents. By minimizing human error, such as collisions or falls, these vehicles improve warehouse safety. For instance, the National Safety Council reports that 70% of all industrial accidents are caused by operator error, which autonomous forklifts can significantly reduce. They can also handle hazardous materials and work in challenging environments, protecting workers from potential injuries, making them a valuable asset in high-risk industries. These safety features not only protect employees but also reduce workplace accident-related costs.

Advancements in Technology and Industry 4.0 Adoption

Technological advancements like sensor fusion, which combines LiDAR, cameras, and ultrasonic sensors, enable autonomous forklifts to navigate with precision and avoid obstacles. For instance, autonomous forklifts equipped with AI and advanced sensors can navigate complex environments and avoid obstacles with high accuracy. Artificial Intelligence further enhances their adaptability to changing conditions in the warehouse, improving decision-making. As part of Industry 4.0, autonomous forklifts integrate seamlessly into smart factories, where they generate valuable data to optimize operations and provide actionable insights. Additionally, they offer a solution to labor shortages by reducing the dependency on skilled workers and ensuring consistent operations.

Increased Efficiency and Productivity

Autonomous forklift trucks significantly enhance warehouse productivity by operating 24/7, maximizing space utilization and ensuring continuous operations. These vehicles can handle repetitive tasks without fatigue, allowing businesses to allocate human resources to more strategic roles. Additionally, autonomous forklifts navigate complex warehouse layouts efficiently, reducing travel time and improving overall operational efficiency, thus increasing throughput and reducing operational delays.

Rising Demand for E-commerce

The exponential growth in e-commerce has driven the need for more efficient warehouse operations to meet increasing order volumes. Autonomous forklifts contribute to faster order fulfillment by optimizing material handling, reducing delivery times, and enhancing customer satisfaction. Their ability to operate seamlessly within the high-demand e-commerce environment makes them an essential tool for businesses aiming to remain competitive in the fast-paced market.

Market Trends

Increased Adoption in E-commerce and Rising Labor Costs

The surge in online shopping has significantly increased the demand for efficient and streamlined warehouse operations. As e-commerce continues to grow, the need for faster order fulfillment has made autonomous forklifts an essential tool. For instance, according to a survey by the National Bureau of Economic Research, labor shortages have led to increased adoption of automation technologies in warehouses. These forklifts improve order picking, packing, and shipping processes, allowing for quicker turnaround times and enhanced customer satisfaction. Furthermore, the rising labor costs and shortages in skilled workers make autonomous forklifts an attractive solution for businesses looking to reduce reliance on manual labor. By automating repetitive tasks, these vehicles not only cut down on operational expenses but also help address labor shortages, ensuring continuous and efficient warehouse operations.

Advancements in Technology and Industry 4.0 Integration

Technological advancements, particularly in sensor fusion and AI, are driving the increased capabilities of autonomous forklifts. The integration of sensors like LiDAR, cameras, and ultrasonic sensors enables these forklifts to navigate complex environments with precision, avoiding obstacles and optimizing their routes. AI-powered algorithms enhance their ability to adapt to dynamic warehouse environments, improving decision-making and operational efficiency. Autonomous forklifts are also integral to Industry 4.0 and smart factory ecosystems, where they seamlessly integrate with other technologies like IoT and robotics. These vehicles generate valuable data that businesses can analyze to optimize warehouse operations and decision-making processes. Additionally, the focus on sustainability is growing, as autonomous forklifts are increasingly being designed to be energy-efficient, helping to reduce the carbon footprint of warehouse operations and contribute to more sustainable business practices.

Market Challenges Analysis

High Initial Investment and Complex Integration

One of the primary challenges businesses face with autonomous forklift technology is the high initial investment required. The cost of the forklifts, sensors, software, and infrastructure can be substantial, and organizations must carefully evaluate the return on investment (ROI). Factors such as labor savings, increased efficiency, and reduced accidents must be considered to justify the expense. Additionally, integrating these autonomous systems into existing warehouse management systems (WMS) can be complex and time-consuming. Compatibility issues arise when trying to align these new technologies with various warehouse layouts, equipment, and operational processes. This makes the integration process more challenging and can delay the realization of the full benefits of autonomous forklifts.

Technical Limitations and Workforce Resistance

While autonomous forklifts bring significant benefits, technical limitations present challenges that need to be addressed. Sensor accuracy is a crucial factor, especially in dynamic environments where lighting conditions and obstacles frequently change. Inaccurate sensors can lead to poor performance, which may affect safety and efficiency. For example, a study by MDPI emphasizes the importance of accurate sensor data for the efficient navigation and control of autonomous forklifts in warehouse environment. Similarly, reliable software is necessary to ensure safe and smooth operations. Any glitches or malfunctions in the software could result in disruptions or accidents. On the workforce front, the transition to autonomous systems may face resistance due to job security concerns. Workers may fear job displacement, leading to potential labor disputes. Furthermore, businesses must invest in training and retraining programs to ensure that workers can operate and maintain the new technology effectively. Additionally, the dynamic nature of warehouse environments frequent changes in layout, inventory, and traffic requires autonomous forklifts to be adaptable to varying conditions and unexpected obstacles, which can complicate their deployment and functionality.

Market Segmentation Analysis:

By Type:

The autonomous forklift truck market is segmented by type, with key categories including pallet movers, counterbalance, outrigger, and reach trucks. Pallet movers are typically used in warehouses for the efficient transportation of goods over short distances, offering significant advantages in terms of cost savings and improved operational efficiency. Counterbalance forklifts are designed for handling heavier loads and are commonly used in more demanding environments. Outrigger trucks are ideal for applications that require stability, while reach trucks are versatile machines for narrow aisle operations, providing enhanced maneuverability and improved space utilization. Each type offers unique advantages that meet the specific operational requirements of various industries, ensuring that businesses can select the best option for their needs, driving market growth.

By Navigation Technology:

Autonomous forklift trucks also vary by navigation technology, including laser-guided, magnetic-guided, and vision-guided systems. Laser-guided forklifts are equipped with advanced sensors that allow precise positioning and navigation, particularly in dynamic warehouse environments. Magnetic-guided forklifts rely on magnetic strips or tracks embedded in the warehouse floor, providing a simple yet effective solution for controlled operations. Vision-guided forklifts use cameras and sensors for real-time obstacle detection and dynamic navigation, offering greater flexibility in unpredictable environments. Other technologies, such as wire-guided systems, also contribute to the versatility of autonomous forklifts, enabling companies to optimize warehouse operations based on specific infrastructure needs and layout.

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Segments:

Based on Type:

  • Pallet Mover
  • Counterbalance
  • Outrigger
  • Reach Truck

Based on Navigation Technology

  • Laser Guided
  • Magnetic Guided
  • Vision Guided
  • Others (Wire Guided, and others)

Based on Application

  • Transportation & Distribution
  • Storage & Assembly
  • Packaging

Based on Industry

  • Automotive
  • Food & Beverage
  • E-commerce
  • Others (Healthcare, and others)

Based on the Geography:

  • North America
    • U.S.
    • Canada
    • Mexico
  • Europe
    • Germany
    • France
    • U.K.
    • Italy
    • Spain
    • Rest of Europe
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • South-east Asia
    • Rest of Asia Pacific
  • Latin America
    • Brazil
    • Argentina
    • Rest of Latin America
  • Middle East & Africa
    • GCC Countries
    • South Africa
    • Rest of the Middle East and Africa

Regional Analysis

North America

North America holds a major share of the market, accounting for approximately 40% of the global market. The U.S., in particular, is a leader in adopting automation technologies in warehouses, driven by the need to enhance operational efficiency and address labor shortages. The demand for autonomous forklifts in industries such as e-commerce, automotive, and food & beverage is pushing the market forward. Additionally, the presence of key players like Kion Group, Toyota Industries Corporation, and Jungheinrich AG has bolstered the region’s growth, while advancements in robotics and AI further drive the adoption of these systems. The growing trend toward smart factories and Industry 4.0 is expected to continue boosting the market in North America, with both large enterprises and SMEs investing in automation solutions.

Europe

Europe follows closely, holding around 30% of the global market share. The region’s growth is fueled by the increased demand for autonomous forklift trucks in industries such as automotive, e-commerce, and food & beverage. The adoption of Industry 4.0 technologies and digitalization of warehouse operations has been a key factor driving this growth, with countries like Germany, the UK, and France leading the charge. In particular, Germany’s advanced manufacturing sector and emphasis on operational optimization have made it a major hub for autonomous forklift deployments. Companies in the region are increasingly integrating AI and IoT technologies into their forklift fleets to improve efficiency, safety, and sustainability. As European industries continue to focus on cost reduction and improved supply chain management, the demand for autonomous forklifts is expected to rise further. The region’s strict safety regulations and emphasis on sustainability will also drive innovations in autonomous forklift solutions.

Key Player Analysis

  • Toyota Industries Corporation (Japan)
  • JBT (U.S.)
  • Mitsubishi Caterpillar Forklift America Inc. (U.S.)
  • Agilox Services GmbH (Austria)
  • Seegrid Corporation (U.S.)
  • Kollmorgen (U.S.)
  • KION GROUP AG (Germany)
  • Hyster-Yale Materials Handling, Inc. (U.S.)
  • E&K Automation GmbH (Germany)
  • Mitsubishi Logisnext Co. Ltd (Japan)

Competitive Analysis

The competitive landscape of autonomous forklift trucks is shaped by leading players like Toyota Industries Corporation (Japan), JBT (U.S.), Mitsubishi Caterpillar Forklift America Inc. (U.S.), Agilox Services GmbH (Austria), Seegrid Corporation (U.S.), Kollmorgen (U.S.), KION Group AG (Germany), Hyster-Yale Materials Handling, Inc. (U.S.), E&K Automation GmbH (Germany), and Mitsubishi Logisnext Co. Ltd (Japan). These companies are at the forefront of integrating advanced technologies such as AI, sensor fusion, and machine learning into their forklift solutions. Key players in the market are increasingly integrating artificial intelligence (AI), machine learning, and sensor fusion technologies into their forklift solutions, enhancing efficiency and safety. Companies are developing products designed to operate seamlessly in dynamic environments, utilizing various navigation technologies such as laser-guided, magnetic-guided, and vision-guided systems. As the market expands, businesses are focusing on providing customizable, cost-effective solutions that improve warehouse productivity and streamline logistics operations. The competition is intensifying as organizations strive to differentiate themselves by offering more efficient, reliable, and scalable autonomous forklift systems tailored to the evolving needs of industries such as e-commerce, automotive, and food & beverage.

Recent Developments

  • In December 2023, Linde Material Handling, a subsidiary of KION Group AG, launched a new counterbalance type of forklift truck for warehouse automation. It is integrated with vision guided navigation technology. The product has a load capacity of around 2 to 3 tons. Moreover, it can be used for the transportation of products from one location to another.
  • In April 2023, Doosan Industrial Vehicle, a subsidiary of Doosan Corporation, signed a partnership with Kollmorgen. The partnership has been made to improve automation in the Kollmorgen. In addition, the main aim of the partnership is to improve the production of automated forklift trucks.
  • In March 2023, Jungheinrich AG, an exclusive distributor of Mitsubishi Logisnext Americas Group, introduced a new EKX 516Ka autonomous truck for handling and storage applications. It is a high rack stacker and offers features such as environment friendliness, versatility, powerfulness, maximum efficiency, and high productivity.
  • In November 2022, Linde Material Handling, a subsidiary of KION Group AG, introduced the R-matic autonomous reach truck for warehouse and logistics applications. It has a height of more than 11 meters and load capacity of 1,600 KG. It uses vision guided navigation technology with an innovative 3D camera to detect and maintain the precise loading location.
  • In March 2022, Otto Motors launched new automated products, such as OTTO 1500 and OTTO 100, for warehouse and manufacturing facility applications. They have a loading capacity of 2,640 pounds and feature laser guided navigation technology. They reduce labor costs, increasing the production capacity of manufacturing sectors.
  • In April 2022, Seegrid Corporation signed an agreement with Sumitomo Heavy Industries to supply autonomous solutions for manufacturing facilities. The basic aim of the agreement is to improve the manufacturing operations for automated solutions.

Market Concentration & Characteristics

The autonomous forklift truck market exhibits moderate concentration, with a few leading players dominating the landscape while several smaller, specialized companies also contribute to its growth. The market is characterized by rapid technological advancements, particularly in AI, sensor fusion, and machine learning, driving the development of highly efficient and autonomous systems. These forklifts are designed to operate in dynamic, complex environments, with advancements in navigation technologies such as laser-guided, magnetic-guided, and vision-guided systems. As demand for warehouse automation grows, especially in sectors like e-commerce and automotive, competition is intensifying, with companies focusing on providing cost-effective, scalable solutions. While larger enterprises dominate, smaller players focus on offering niche solutions, often targeting specific industries or operational needs. The market is also influenced by the increasing need for safety, productivity, and labor optimization, with autonomous forklifts helping reduce human error and operational costs in industrial settings.

Report Coverage

The research report offers an in-depth analysis based on Type, Navigation Technology, Application, Industry and Geography. It details leading market players, providing an overview of their business, product offerings, investments, revenue streams, and key applications. Additionally, the report includes insights into the competitive environment, SWOT analysis, current market trends, as well as the primary drivers and constraints. Furthermore, it discusses various factors that have driven market expansion in recent years. The report also explores market dynamics, regulatory scenarios, and technological advancements that are shaping the industry. It assesses the impact of external factors and global economic changes on market growth. Lastly, it provides strategic recommendations for new entrants and established companies to navigate the complexities of the market.

Future Outlook

  1. Autonomous forklift trucks will continue to evolve with improved sensor technologies for better navigation and obstacle avoidance.
  2. Integration of AI and machine learning will enhance decision-making, allowing forklifts to adapt to dynamic environments.
  3. Increased adoption in e-commerce and retail sectors will drive demand for efficient, automated warehouse solutions.
  4. Autonomous forklifts will play a significant role in reducing labor costs and mitigating workforce shortages.
  5. Safety features, such as collision detection and automated emergency stops, will become more advanced.
  6. Expansion of autonomous forklift usage will extend to more industries, including automotive, food & beverage, and healthcare.
  7. Collaborative robots (cobots) will integrate with autonomous forklifts to optimize warehouse workflows.
  8. The demand for energy-efficient, sustainable forklift solutions will drive innovation in battery and power management.
  9. As 5G technology becomes more widespread, it will enhance communication and real-time data exchange for fleet management.
  10. Regulatory standards for safety and operational efficiency will evolve, encouraging greater adoption and innovation in autonomous forklift technologies.

1. Introduction

   1.1. Report Description

   1.2. Purpose of the Report

   1.3. USP & Key Offerings

   1.4. Key Benefits for Stakeholders

   1.5. Target Audience

   1.6. Report Scope

   1.7. Regional Scope

2. Scope and Methodology

   2.1. Objectives of the Study

   2.2. Stakeholders

   2.3. Data Sources

       2.3.1. Primary Sources

       2.3.2. Secondary Sources

   2.4. Market Estimation

       2.4.1. Bottom-Up Approach

       2.4.2. Top-Down Approach

   2.5. Forecasting Methodology

3. Executive Summary

4. Introduction

   4.1. Overview

   4.2. Key Industry Trends

5. Global Autonomous Forklift Trucks Market

   5.1. Market Overview

   5.2. Market Performance

   5.3. Impact of COVID-19

   5.4. Market Forecast

6. Market Breakup by Type

   6.1. Pallet Mover

       6.1.1. Market Trends

       6.1.2. Market Forecast

       6.1.3. Revenue Share

       6.1.4. Revenue Growth Opportunity

   6.2. Counterbalance

       6.2.1. Market Trends

       6.2.2. Market Forecast

       6.2.3. Revenue Share

       6.2.4. Revenue Growth Opportunity

   6.3. Outrigger

       6.3.1. Market Trends

       6.3.2. Market Forecast

       6.3.3. Revenue Share

       6.3.4. Revenue Growth Opportunity

   6.4. Reach Truck

       6.4.1. Market Trends

       6.4.2. Market Forecast

       6.4.3. Revenue Share

       6.4.4. Revenue Growth Opportunity

7. Market Breakup by Navigation Technology

   7.1. Laser Guided

       7.1.1. Market Trends

       7.1.2. Market Forecast

       7.1.3. Revenue Share

       7.1.4. Revenue Growth Opportunity

   7.2. Magnetic Guided

       7.2.1. Market Trends

       7.2.2. Market Forecast

       7.2.3. Revenue Share

       7.2.4. Revenue Growth Opportunity

   7.3. Vision Guided

       7.3.1. Market Trends

       7.3.2. Market Forecast

       7.3.3. Revenue Share

       7.3.4. Revenue Growth Opportunity

   7.4. Others (Wire Guided, and others)

       7.4.1. Market Trends

       7.4.2. Market Forecast

       7.4.3. Revenue Share

       7.4.4. Revenue Growth Opportunity

8. Market Breakup by Application

   8.1. Transportation & Distribution

       8.1.1. Market Trends

       8.1.2. Market Forecast

       8.1.3. Revenue Share

       8.1.4. Revenue Growth Opportunity

   8.2. Storage & Assembly

       8.2.1. Market Trends

       8.2.2. Market Forecast

       8.2.3. Revenue Share

       8.2.4. Revenue Growth Opportunity

   8.3. Packaging

       8.3.1. Market Trends

       8.3.2. Market Forecast

       8.3.3. Revenue Share

       8.3.4. Revenue Growth Opportunity

9. Market Breakup by Industry

   9.1. Automotive

       9.1.1. Market Trends

       9.1.2. Market Forecast

       9.1.3. Revenue Share

       9.1.4. Revenue Growth Opportunity

   9.2. Food & Beverage

       9.2.1. Market Trends

       9.2.2. Market Forecast

       9.2.3. Revenue Share

       9.2.4. Revenue Growth Opportunity

   9.3. E-commerce

       9.3.1. Market Trends

       9.3.2. Market Forecast

       9.3.3. Revenue Share

       9.3.4. Revenue Growth Opportunity

   9.4. Others (Healthcare, and others)

       9.4.1. Market Trends

       9.4.2. Market Forecast

       9.4.3. Revenue Share

       9.4.4. Revenue Growth Opportunity

10. Market Breakup by Region

    10.1. North America

         10.1.1. United States

                10.1.1.1. Market Trends

                10.1.1.2. Market Forecast

         10.1.2. Canada

                10.1.2.1. Market Trends

                10.1.2.2. Market Forecast

    10.2. Asia-Pacific

         10.2.1. China

         10.2.2. Japan

         10.2.3. India

         10.2.4. South Korea

         10.2.5. Australia

         10.2.6. Indonesia

         10.2.7. Others

    10.3. Europe

         10.3.1. Germany

         10.3.2. France

         10.3.3. United Kingdom

         10.3.4. Italy

         10.3.5. Spain

         10.3.6. Russia

         10.3.7. Others

    10.4. Latin America

         10.4.1. Brazil

         10.4.2. Mexico

         10.4.3. Others

    10.5. Middle East and Africa

         10.5.1. Market Trends

         10.5.2. Market Breakup by Country

         10.5.3. Market Forecast

11. SWOT Analysis

    11.1. Overview

    11.2. Strengths

    11.3. Weaknesses

    11.4. Opportunities

    11.5. Threats

12. Value Chain Analysis

13. Porters Five Forces Analysis

    13.1. Overview

    13.2. Bargaining Power of Buyers

    13.3. Bargaining Power of Suppliers

    13.4. Degree of Competition

    13.5. Threat of New Entrants

    13.6. Threat of Substitutes

14. Price Analysis

15. Competitive Landscape

    15.1. Market Structure

    15.2. Key Players

    15.3. Profiles of Key Players

         15.3.1. Toyota Industries Corporation (Japan)

                15.3.1.1. Company Overview

                15.3.1.2. Product Portfolio

                15.3.1.3. Financials

                15.3.1.4. SWOT Analysis

         15.3.2. JBT (U.S.)

         15.3.3. Mitsubishi Caterpillar Forklift America Inc. (U.S.)

         15.3.4. Agilox Services GmbH (Austria)

         15.3.5. Seegrid Corporation (U.S.)

         15.3.6. Kollmorgen (U.S.)

         15.3.7. KION GROUP AG (Germany)

         15.3.8. Hyster-Yale Materials Handling, Inc. (U.S.)

         15.3.9. E&K Automation GmbH (Germany)

         15.3.10. Mitsubishi Logisnext Co. Ltd (Japan)

16. Research Methodology

Frequently Asked Questions: 

What is the size of Autonomous Forklift Trucks Market?

The global autonomous forklift trucks market is projected to grow from USD 5,747.2 million in 2024 to USD 14,179.11 million by 2032, with a compound annual growth rate (CAGR) of 11.95%.

What factors are driving the growth of the Autonomous Forklift Trucks Market?

The growth of the autonomous forklift trucks market is driven by the demand for automation in material handling, advancements in AI and robotics, and the need for enhanced safety and productivity in warehouse operations. Additionally, the rise of Industry 4.0 technologies and increased adoption in e-commerce are key factors contributing to market expansion.

What are the key segments within the Autonomous Forklift Trucks Market?

The key segments within the autonomous forklift trucks market include Type (Pallet Mover, Counterbalance, Outrigger, Reach Truck), Navigation Technology (Laser Guided, Magnetic Guided, Vision Guided), Application (Transportation & Distribution, Storage & Assembly, Packaging), and Industry (Automotive, Food & Beverage, E-commerce, Others).

What are some challenges faced by the Autonomous Forklift Trucks Market?

Challenges in the autonomous forklift trucks market include the high initial investment and complexities in integration with existing warehouse management systems. Technical limitations, such as sensor accuracy in dynamic environments, and workforce resistance due to concerns over job displacement are also significant challenges.

Who are the major players in this market?

Major players in the autonomous forklift trucks market include Toyota Industries Corporation (Japan), JBT (U.S.), Mitsubishi Caterpillar Forklift America Inc. (U.S.), Agilox Services GmbH (Austria), Seegrid Corporation (U.S.), Kollmorgen (U.S.), KION Group AG (Germany), Hyster-Yale Materials Handling, Inc. (U.S.), E&K Automation GmbH (Germany), and Mitsubishi Logisnext Co. Ltd (Japan). These companies are leaders in advancing autonomous forklift technology.

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