自动堆高机市场规模 - 按产品（仓库、平衡重）、导航技术、应用（製造、仓储、物料搬运、物流和货运）、最终用户行业、吨位和预测，2024 - 2032 年

由于物料搬运作业对自动化和效率的需求不断增长，自动堆高机市场规模预计在 2024 年至 2032 年期间复合年增长率将达到创纪录的 12%。例如，2024 年 2 月，ArcBest 推出了能够远端操作的自动堆高机和前移式堆高机。自动堆高机具有许多优势，例如提高生产力、降低劳动力成本以及透过消除危险环境中的人类操作员来提高安全性。这种自动化可以实现不间断的连续操作，从而提高吞吐量并优化仓库管理。

人工智慧和感测器技术的进步也使自动堆高机能够在复杂的环境中行驶并适应动态的操作条件，从而推动市场成长。这些技术有助于精确导航、障碍物侦测和物体识别，以确保高效可靠的物料搬运过程。自动堆高机解决方案的可扩展性及其与现有仓库管理系统的整合将进一步推动其在各个行业的采用。

本产业分为产品、吨位、导航技术、应用、最终用户产业和地区。

从产品来看，由于物流和配送中心提高营运效率和降低劳动成本的压力越来越大，仓库领域的自动堆高机市场规模预计到 2032 年将维持成长动能。自动堆高机透过自动化日常任务（例如货物运输、堆迭和检索），在仓库环境中提供显着的优势。这些车辆还可以不间断地连续运行，同时优化工作流程并最大限度地减少停机时间，从而提高整体生产力。

预计製造最终用途领域的自动堆高机市场将在 2024 年至 2032 年间出现可观的成长率。自动堆高机透过自动化物料搬运任务（例如在工厂和装配线内装载、卸载和运输货物）来帮助製造业务。

由于高度重视采用先进的自动化解决方案来提高物流、製造和零售等各行业的营运效率并降低劳动力成本，北美自动堆高机产业将在 2024 年至 2032 年大幅成长。成熟的工业部门的存在，加上对智慧製造和物流基础设施的投资不断增加，正在为区域产品的采用创造有利的环境。

目录

第 1 章：方法与范围

第 2 章：执行摘要

第 3 章：产业洞察

• 产业生态系统分析
• 供应商格局
  • 原物料供应商
  • 製造商
  • 自动化技术提供者
  • 软体开发商
  • 系统整合商
  • 最终用户
• 利润率分析
• 技术与创新格局
• 专利分析
• 重要新闻和倡议
• 监管环境
• 衝击力
  • 成长动力
    • 仓储物流业的成长
    • 导航技术的进步
    • 欧洲劳动力短缺日益严重
    • 仓库和物流中心对自动化的需求不断增长
  • 产业陷阱与挑战
    • 自动堆高机初期投资高
    • 仓库环境复杂造成技术障碍
• 成长潜力分析
• 波特的分析
• PESTEL分析

第 4 章：竞争格局

• 介绍
• 公司市占率分析
• 竞争定位矩阵
• 战略展望矩阵

第 5 章：市场估计与预测：依产品分类，2021 - 2032 年

• 主要趋势
• 仓库
• 抗衡
• 其他的

第 6 章：市场估计与预测：以吨位划分，2021 - 2032

• 主要趋势
• 5吨以下
• 5-10吨
• 10吨以上

第 7 章：市场估计与预测：按导航技术划分，2021 - 2032 年

• 主要趋势
• 雷射导
• 磁导引
• 感应引导
• 光带引导
• 视觉引导
• 同步定位与建图 (SLAM)
• 其他的

第 8 章：市场估计与预测：依应用分类，2021 - 2032

• 主要趋势
• 製造业
• 仓储
• 物料搬运
• 物流及货运
• 其他的

第 9 章：市场估计与预测：按最终用户产业，2021 - 2032 年

• 主要趋势
• 化学
• 食品和饮料
• 製造业
• 物流仓储
• 零售与电子商务
• 其他的

第 10 章：市场估计与预测：按地区，2021 - 2032

• 主要趋势
• 北美洲
  • 我们
  • 加拿大
• 欧洲
  • 英国
  • 德国
  • 法国
  • 西班牙
  • 义大利
  • 俄罗斯
  • 北欧人
  • 欧洲其他地区
• 亚太地区
  • 中国
  • 印度
  • 日本
  • 韩国
  • 澳新银行
  • 东南亚
  • 亚太地区其他地区
• 拉丁美洲
  • 巴西
  • 墨西哥
  • 阿根廷
  • 拉丁美洲其他地区
• MEA
  • 阿联酋
  • 南非
  • 沙乌地阿拉伯
  • MEA 的其余部分

第 11 章：公司简介

• Anhui Heli Co., Ltd.
• Balyo SA
• BlueBotics SA
• BYD Company Limited
• Clark Material Handling Company
• Combilift Ltd.
• Crown Equipment Corporation
• Daifuku Co., Ltd.
• Doosan Corporation Industrial Vehicle
• EK Automation GmbH
• Godrej & Boyce Mfg. Co. Ltd.
• Hangcha Group Co., Ltd.
• Hyster-Yale Materials Handling, Inc.
• Hyundai Heavy Industries Co., Ltd.
• Jungheinrich AG
• KION Group AG
• Komatsu Ltd.
• Mitsubishi Logisnext Co., Ltd.
• Seegrid Corporation
• Toyota Industries Corporation
• Yale Materials Handling Corporation

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