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1528969

自動堆高機市場規模 - 按產品（倉庫、平衡重）、導航技術、應用（製造、倉儲、物料搬運、物流和貨運）、最終用戶行業、噸位和預測，2024 - 2032 年

Autonomous Forklift Market Size - By Product (Warehouse, Counterbalance), By Navigation Technology, By Application (Manufacturing, Warehousing, Material Handling, Logistics & Freight), By End-user Industry, By Tonnage & Forecast, 2024 - 2032

出版日期: 2024年05月08日 | 出版商:

Global Market Insights Inc. | 英文 250 Pages | 商品交期: 2-3個工作天內

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簡介目錄

由於物料搬運作業對自動化和效率的需求不斷成長，自動堆高機市場規模預計在 2024 年至 2032 年期間複合年成長率將達到創紀錄的 12%。例如，2024 年 2 月，ArcBest 推出了能夠遠端操作的自動堆高機和前移式堆高機。自動堆高機具有許多優勢，例如提高生產力、降低勞動力成本以及透過消除危險環境中的人類操作員來提高安全性。這種自動化可以實現不間斷的連續操作，從而提高吞吐量並最佳化倉庫管理。

人工智慧和感測器技術的進步也使自動堆高機能夠在複雜的環境中行駛並適應動態的操作條件，從而推動市場成長。這些技術有助於精確導航、障礙物偵測和物體識別，以確保高效可靠的物料搬運過程。自動堆高機解決方案的可擴展性及其與現有倉庫管理系統的整合將進一步推動其在各個行業的採用。

本產業分為產品、噸位、導航技術、應用、最終用戶產業和地區。

從產品來看，由於物流和配送中心提高營運效率和降低勞動成本的壓力越來越大，倉庫領域的自動堆高機市場規模預計到 2032 年將維持成長動能。自動堆高機透過自動化日常任務（例如貨物運輸、堆疊和檢索），在倉庫環境中提供顯著的優勢。這些車輛還可以不間斷地連續運行，同時最佳化工作流程並最大限度地減少停機時間，從而提高整體生產力。

預計製造最終用途領域的自動堆高機市場將在 2024 年至 2032 年間出現可觀的成長率。自動堆高機透過自動化物料搬運任務（例如在工廠和裝配線內裝載、卸載和運輸貨物）來幫助製造業務。

由於高度重視採用先進的自動化解決方案來提高物流、製造和零售等各行業的營運效率並降低勞動力成本，北美自動堆高機產業將在 2024 年至 2032 年大幅成長。成熟的工業部門的存在，加上對智慧製造和物流基礎設施的投資不斷增加，正在為區域產品的採用創造有利的環境。

產業生態系統分析
供應商格局
- 原物料供應商
- 製造商
- 自動化技術提供者
- 軟體開發商
- 系統整合商
- 最終用戶
利潤率分析
技術與創新格局
專利分析
重要新聞和舉措
監管環境
衝擊力
- 成長動力
  - 倉儲物流業的成長
  - 導航技術的進步
  - 歐洲勞動力短缺日益嚴重
  - 倉庫和物流中心對自動化的需求不斷成長
- 產業陷阱與挑戰
  - 自動堆高機初期投資高
  - 倉庫環境複雜造成技術障礙
成長潛力分析
波特的分析
PESTEL分析

第 4 章：競爭格局

介紹
公司市佔率分析
競爭定位矩陣
戰略展望矩陣

第 5 章：市場估計與預測：依產品分類，2021 - 2032 年

主要趨勢
倉庫
抗衡
其他

第 6 章：市場估計與預測：以噸位分類，2021 - 2032

主要趨勢
5噸以下
5-10噸
10噸以上

第 7 章：市場估計與預測：按導航技術分類，2021 - 2032 年

主要趨勢
雷射導
磁導引
感應引導
光帶引導
視覺引導
同步定位與建圖 (SLAM)
其他

第 8 章：市場估計與預測：依應用分類，2021 - 2032

主要趨勢
製造業
倉儲
物料搬運
物流及貨運
其他

第 9 章：市場估計與預測：按最終用戶產業，2021 - 2032 年

主要趨勢
化學
食品和飲料
製造業
物流倉儲
零售與電子商務
其他

第 10 章：市場估計與預測：按地區，2021 - 2032

主要趨勢
北美洲
- 美國
- 加拿大
歐洲
- 英國
- 德國
- 法國
- 西班牙
- 義大利
- 俄羅斯
- 北歐人
- 歐洲其他地區
亞太地區
- 中國
- 印度
- 日本
- 韓國
- 澳新銀行
- 東南亞
- 亞太地區其他地區
拉丁美洲
- 巴西
- 墨西哥
- 阿根廷
- 拉丁美洲其他地區
MEA
- 阿拉伯聯合大公國
- 南非
- 沙烏地阿拉伯
- MEA 的其餘部分

第 11 章：公司簡介

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

簡介目錄

Product Code: 9419

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.

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