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1626534

全球物流自動化市場規模：按地區、範圍和預測

Global Logistics Automation Market Size By Component, By Function, By End User, By Geographic Scope And Forecast
出版日期: | 出版商: Verified Market Research | 英文 202 Pages | 商品交期: 2-3個工作天內

價格
簡介目錄

物流自動化市場規模及預測

預計2023年物流自動化市場價值將達到816.8億美元，到2031年預計將達到2029.3億美元，預測期內（2024-2031年）的複合年增長率為13.29%。

物流自動化是指應用軟體和自動化機器等先進技術來簡化、管理和最佳化物流和供應鏈領域的各種流程。主要目標是提高效率、減少人為錯誤並確保更快、更準確的交付。自動化工具可以部署在多個層面，從庫存管理和倉儲到運輸和訂單履行。

在物流自動化領域，自動導引車(AGV)、無人機、機器人和傳送系統等技術處理實體任務，而倉庫管理系統(WMS)、運輸管理系統(TMS) 和人工智慧(AI)軟體人工智慧等解決方案優化了規劃和執行。這些技術有助於滿足消費者對更快交貨時間日益增長的需求，提高營運效率並降低勞動成本。

透過自動執行重複且耗時的任務，物流自動化減少了人為幹預，最大限度地降低了錯誤風險，並實現了即時數據監控和決策。因此，公司可以提高整個供應鏈的績效、提升客戶滿意度，並在敏捷性和精確性至關重要的快速發展的市場中保持競爭力。

全球物流自動化市場動態

主要市場驅動因子

電子商務爆炸式成長與數位轉型：電子商務爆炸式成長和數位轉型加速了對物流自動化的需求。根據美國人口普查局的數據，美國電子商務銷售額從 2019 年的 5,712 億美元飆升至 2020 年的 8,154 億美元，增幅高達 43%。這種激增趨勢將持續下去，到 2021 年電子商務規模將達到 8,708 億美元，需要自動化物流解決方案來處理這一規模。

勞動成本上升和勞動力短缺：勞動成本上升和勞動力短缺正在推動企業走向自動化解決方案。美國勞工統計局報告稱，運輸和倉儲行業的平均每小時工資從 2020 年 1 月的 25.13 美元上漲 9.67% 至 2022 年 12 月的 27.56 美元。這一趨勢，加上美國勞工部報告的 2021 年倉庫工人 57% 的流動率，使得自動化更具吸引力。

增加對智慧倉庫的投資：增加對智慧倉庫的投資正在推動物流自動化的採用。根據國際機器人聯合會（IFR）的數據，2019年至2021年，倉庫安裝的物流機器人數量增加了84%，僅2021年就安裝了超過11.4萬台。日本經濟產業省報告稱，2020年至2022年國內物流自動化市場將成長32%。

主要問題

初始實施成本高：初始實施成本高是採用物流自動化的一個主要障礙，尤其是對中小型企業而言。根據 2022 年物料搬運產業 (MHI) 報告，71% 的公司認為前期成本是實施自動化技術時面臨的主要課題。先進自動化協會透露，2021年基礎倉庫自動化系統的平均初始投資將為200萬至400萬美元，相當於許多中小企業年銷售收入的15%至20%。 "

技術技能差距與勞動力發展：技術技能差距與勞動力發展是自動化採用的關鍵課題。美國勞工統計局報告稱，從 2020 年到 2022 年，機器人技術員和自動化專家的職缺增加了 45%，但只有 27% 的職位得到填補。 2021 年的一項製造業調查發現，77% 的公司在招募和留住具備自動化系統合適技術技能的員工方面面臨持續的課題。

系統整合和遺留基礎設施 - 系統整合和與遺留基礎設施的兼容性是採用自動化的主要障礙。根據國際機器人聯合會 (IFR) 2022 年的一項調查，63% 的公司將與現有系統的整合課題列為其最大的技術障礙。根據美國生產力與品質中心 (APQC) 的一項調查，截至 2021 年，58% 的組織仍在運行已有 10 多年曆史的傳統倉庫管理系統，並且在系統兼容性上平均將額外花費 500,000 美元我們需要升級。

主要趨勢：

自主移動機器人 (AMR) 和協作機器人 (Cobots)：自主移動機器人 (AMR) 和協作機器人 (Cobots) 正在徹底改變倉庫運作。根據國際機器人聯合會 (IFR) 的數據，預計 2021 年全球物流領域 AMR 的使用量將比 2020 年增長 42%，達到 85,000 多台。機器人產業協會報告稱，2022 年倉庫中的協作機器人安裝數量將增加 37%，平均投資回報期將從 24 個月縮短至 16 個月。 "

人工智慧預測分析和機器學習：人工智慧預測分析和機器學習的融合在物流自動化中變得越來越普遍。 Gartner 的 2022 年供應鏈技術調查顯示，61% 的供應鏈組織正在增加對 AI 和 ML 技術的投資，其中 75% 的組織報告庫存準確性有所提高，預測誤差減少了 32%。世界經濟論壇報告稱，人工智慧物流解決方案已幫助早期採用者在 2021 年將營運成本降低了 15-20%。 "

基於雲端的倉庫管理系統 (WMS)：基於雲端的倉庫管理系統 (WMS) 與物聯網 (IoT) 的整合正在獲得發展勢頭。根據 IDC 的《2022 年全球供應鏈報告》，從 2020 年到 2022 年，基於雲端的 WMS 的採用將成長 56%，73% 的物流公司計劃到 2024 年投資於支援物聯網的自動化。美國商務部報告稱，2021 年倉庫中物聯網設備的採用率年增了 45%，訂單準確性提高了 27%。

目錄

第 1 章 全球物流自動化市場：簡介

    市場概況
  • 研究範圍
  • 先決條件

第 2 章執行摘要

第 3 章：經過驗證的市場研究方法

  • 資料探勘
  • 驗證
  • 主要來源
  • 資料來源列表

第 4 章 全球物流自動化市場展望

  • 概述
  • 市場動態
    • 驅動程式
    • 阻礙因素
    • 機會
  • 波特五力模型
  • 價值鏈分析

5. 全球物流自動化市場（按組件劃分）

  • 概述
  • 硬體
  • 軟體
  • 服務

6. 全球物流自動化市場（依功能劃分）

  • 概述
  • 庫存和倉儲管理
  • 運輸管理

7. 全球物流自動化市場依組織規模劃分

  • 概述
  • 大型企業
  • 中小型企業

第 8 章 全球物流自動化市場（按地區）

  • 概述
  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 德國
    • 英國
    • 法國
    • 義大利
    • 西班牙
    • 其他歐洲國家
    亞太地區
    • 中國
    • 日本
    • 印度
    • 其他亞太地區
  • 拉丁美洲
    • 巴西
    • 阿根廷
    • 其他拉丁美洲國家
  • 中東和非洲
    • 阿拉伯聯合大公國
    • 沙烏地阿拉伯
    • 南非
    • 其他中東和非洲地區

第 9 章 全球物流自動化市場：競爭格局

  • 概述
  • 各公司的市場排名
  • 重大進展
  • 公司的地理分佈
  • 公司產業足跡
  • ACE 矩陣

第十章 公司簡介

  • Honeywell International Inc.
  • Siemens AG
  • ABB Ltd
  • Bosch Rexroth AG
  • Fetch Robotics Inc.
  • Geek+Robotics
  • GreyOrange
  • KNEX Logistics Group
  • Magazino GmbH
  • Swisslog Holding AG

第 11 章 經過驗證的市場情報

    關於經過驗證的市場情報
  • 動態資料視覺化
簡介目錄
Product Code: 26343

Logistics Automation Market Size And Forecast

Logistics Automation Market size was valued at USD 81.68 Billion in 2023 and is expected to reach USD 202.93 Billion in 2031, at a CAGR of 13.29% over the forecast period of 2024 to 2031.

Logistics automation refers to the application of advanced technologies, including software and automated machinery, to streamline, manage, and optimize various processes within the logistics and supply chain sectors. The key goal is to enhance efficiency, reduce human error, and ensure faster, more accurate deliveries. Automation tools can be deployed across several stages, from inventory management and warehouse operations to transportation and order fulfilment.

In logistics automation, technologies like automated guided vehicles (AGVs), drones, robotics, and conveyor systems handle physical tasks, while software solutions such as warehouse management systems (WMS), transportation management systems (TMS), and artificial intelligence (AI) optimize planning and execution. These technologies help businesses meet increasing consumer demands for faster delivery times, improve operational efficiency, and reduce labour costs.

By automating repetitive and time-consuming tasks, logistics automation reduces human intervention, minimizes the risk of errors, and allows for real-time data monitoring and decision-making. As a result, companies can enhance their overall supply chain performance, improve customer satisfaction, and remain competitive in a rapidly evolving market where agility and accuracy are essential.

Global Logistics Automation Market Dynamics

The key market dynamics that are shaping the global Logistics Automation Market include:

Key Market Drivers

E-commerce Explosion and Digital Transformation- E-commerce Explosion and Digital Transformation accelerated the need for logistics automation. According to the U.S. Census Bureau, e-commerce sales in the United States jumped from $571.2 billion in 2019 to $815.4 billion in 2020, marking a spectacular 43% increase. This surge continued with e-commerce reaching $870.8 billion in 2021, necessitating automated logistics solutions to handle the volume.

Rising Labor Costs and Workforce Shortages- Rising Labor Costs and Workforce Shortages are pushing companies toward automation solutions. The U.S. Bureau of Labor Statistics reported that the average hourly earnings in the transportation and warehousing sector increased from $25.13 in January 2020 to $27.56 in December 2022, a 9.67% increase. This trend, coupled with a 57% warehouse labor turnover rate reported by the U.S. Labor Department in 2021, has made automation increasingly attractive.

Growing Investment in Smart Warehouses- Growing Investment in Smart Warehouses is driving logistics automation adoption. According to the International Federation of Robotics (IFR), installations of logistics robots in warehouses increased by 84% from 2019 to 2021, with over 114,000 units installed in 2021 alone. The Japanese Ministry of Economy, Trade and Industry reported that their domestic Logistics Automation Market grew by 32% between 2020 and 2022.

Key Challenges:

High Initial Implementation Costs - High Initial Implementation Costs remain a significant barrier to logistics automation adoption, particularly for small and medium enterprises (SMEs). According to a 2022 Material Handling Industry (MHI) report, 71% of companies cited initial costs as their primary challenge in implementing automation technologies. The Association for Advancing Automation revealed that the average initial investment for a basic warehouse automation system ranged from $2-4 million in 2021, representing 15-20% of many SMEs' annual revenue."

Technical Skills Gap and Workforce Training - Technical Skills Gap and Workforce Training pose a critical challenge for automation implementation. The U.S. Bureau of Labor Statistics reported that job openings for robotics technicians and automation specialists increased by 45% from 2020 to 2022, while the fill rate remained at just 27%. A 2021 manufacturing study found that 77% of companies face ongoing difficulties in hiring and retaining workers with the right technical skills for automated systems.

System Integration and Legacy Infrastructure - System Integration and Legacy Infrastructure Compatibility creates significant hurdles for automation adoption. According to a 2022 survey by the International Federation of Robotics (IFR), 63% of companies reported integration challenges with existing systems as their top technical barrier. The American Productivity and Quality Center (APQC) found that 58% of organizations in 2021 were still operating with legacy warehouse management systems that were over a decade old, requiring an average additional investment of $500,000 for system compatibility upgrades.

Key Trends:

Autonomous Mobile Robots (AMRs) and Collaborative Robots (Cobots): Autonomous Mobile Robots (AMRs) and Collaborative Robots (Cobots) are revolutionizing warehouse operations. According to the International Federation of Robotics (IFR), the global installation of AMRs in logistics increased by 42% in 2021 compared to 2020, with over 85,000 units deployed. The Robotics Industries Association reported that cobot installations in warehouses grew by 37% in 2022, with the average ROI period decreasing from 24 months to 16 months."

AI-Powered Predictive Analytics and Machine Learning: AI-Powered Predictive Analytics and Machine Learning Integration is becoming increasingly prevalent in logistics automation. Gartner's 2022 Supply Chain Technology Survey revealed that 61% of supply chain organizations increased their investment in AI and ML technologies, with 75% reporting improved inventory accuracy and 32% reduction in forecasting errors. The World Economic Forum reported that AI-driven logistics solutions helped reduce operational costs by 15-20% in 2021 for early adopters."

Cloud-Based Warehouse Management Systems (WMS): Cloud-Based Warehouse Management Systems (WMS) and Internet of Things (IoT) Integration are gaining significant traction. According to IDC's Worldwide Supply Chain Report 2022, cloud-based WMS adoption grew by 56% from 2020 to 2022, with 73% of logistics companies planning to invest in IoT-enabled automation by 2024. The U.S. Department of Commerce reported that IoT device implementations in warehouses increased by 45% year-over-year in 2021, resulting in a 27% improvement in order accuracy.

Global Logistics Automation Market Regional Analysis

Here is a more detailed regional analysis of the global Logistics Automation Market:

North America

North America dominates the Global Logistics Automation Market owing to the region's robust e-commerce infrastructure and high consumer adoption rates drive significant investment in logistics automation. According to the U.S. Department of Commerce, U.S. e-commerce sales reached $1.03 trillion in 2022, a 42% increase from 2020 levels. The U.S. Census Bureau reported that e-commerce penetration in retail sales grew from 15.8% in 2020 to 21.3% in 2022, necessitating advanced automation solutions to handle increasing order volumes.

Rising labor costs and workforce shortages in North America are accelerating automation adoption. The U.S. Bureau of Labor Statistics reported that warehouse labor costs increased by 12.5% between 2020-2022, with average hourly wages rising from $22.15 to $24.91. Additionally, according to the American Trucking Association, the U.S. warehousing sector faced a labor shortage of approximately 450,000 workers in 2022, pushing companies toward automated solutions to maintain operational efficiency.

Strong presence of major technology providers and substantial R&D investment in North America fuels market growth. The National Science Foundation reported that U.S. companies invested $52.6 billion in logistics and supply chain automation R&D in 2021, a 34% increase from 2020. North American companies ordered a record 44,196 robots in 2022, representing a 47% increase over 2020, with the logistics sector accounting for 35% of these orders.

Asia Pacific

The Asia-Pacific region is the fastest-growing region in the Global Logistics Automation Market owing to the rapid E-commerce Growth and Digital Transformation in Asia Pacific is driving unprecedented demand for logistics automation. According to the Asian Development Bank, the region's e-commerce market grew from $1.5 trillion in 2020 to $2.6 trillion in 2022, representing a 73% increase. China's National Bureau of Statistics reported that online retail sales reached ¥13.8 trillion ($2.1 trillion) in 2022, up 37% from 2020, creating massive demand for automated logistics solutions.

Government Initiatives and Investment in Smart Manufacturing across the Asia Pacific are accelerating automation adoption. Japan's Ministry of Economy, Trade and Industry reported that government investment in logistics automation increased by 45% between 2020-2022, reaching $8.2 billion. Similarly, South Korea's Ministry of Trade, Industry and Energy announced that under its Manufacturing Renaissance Vision 2030, investments in smart logistics increased by 56% from 2020 to 2022, reaching $4.5 billion.

Rising Labor Costs and Aging Population in Key Asian Economies are pushing businesses toward automation solutions. According to the International Labor Organization, average manufacturing wages in Southeast Asia increased by 28.5% between 2020 and 2022. In Japan, the Ministry of Health, Labor and Welfare reported that the working-age population decreased by 3.2% annually between 2020-2022, while logistics automation adoption increased by 41% during the same period to compensate for labor shortages.

Global Logistics Automation Market Segmentation Analysis

The Global Logistics Automation Market is Segmented on the basis of Component, Function, and Organization Size.

Logistics Automation Market, By Component

  • Hardware
  • Software
  • Services

Based on Components, The market is bifurcated into Hardware, Software, and Services. Software is the most dominant segment in the Global Logistics Automation Market as interest in the efficiency and effectiveness of logistics operations increasingly relies on advanced digital platforms and systems that manage complex processes. Software such as Warehouse Management Systems (WMS), Transportation Management Systems (TMS), and Enterprise Resource Planning (ERP) platforms enable real-time monitoring, data-driven decision-making, and optimization of inventory, transportation, and order fulfillment processes.

Logistics Automation Market, By Function

  • Inventory & Storage Management
  • Transportation Management

Based on Function, The market is bifurcated into Inventory & Storage Management and transportation Management. The Transportation Management segment is dominant in the Global Logistics Automation Market, as optimizing transportation routes, fleet management, and delivery times directly impacts operational efficiency, cost reduction, and meeting rising consumer expectations for fast deliveries.

Logistics Automation Market, By Organization Size

  • Large Enterprises
  • Small & Medium Enterprises

Based on Organization Size, The market is bifurcated into Large Enterprises, Small & Medium Enterprises. Large enterprises dominate the Global Logistics Automation Market owing to their greater financial resources, complex supply chains, and higher demand for advanced automation technologies to manage large-scale operations efficiently and stay competitive.

Key Players

The "Global Logistics Automation Market" study report will provide valuable insight with an emphasis on the global market including some of the major players of the industry are Honeywell International Inc., Siemens AG, ABB Ltd, Bosch Rexroth AG, Fetch Robotics Inc., Geek+ Robotics, GreyOrange, KNEX Logistics Group, Magazino GmbH, Swisslog Holding AG.

  • This section offers in-depth analysis through a company overview, position analysis, the regional and industrial footprint of the company, and the ACE matrix for insightful competitive analysis. The section also provides an exhaustive analysis of the financial performances of mentioned players in the given market.

Our market analysis offers detailed information on major players wherein our analysts provide insight into the financial statements of all the major players, product portfolio, product benchmarking, and SWOT analysis.

  • Global Logistics Automation Market Recent Developments
  • In March 2023, Honeywell International Inc. announced the launch of its new "Smart Flexible Depalletizer" solution, powered by artificial intelligence and advanced machine learning.
  • In December 2022, ABB Ltd. announced the acquisition of ASTI Mobile Robotics Group for $190 million, expanding its autonomous mobile robot (AMR) portfolio.
  • In April 2022, KION Group announced the launch of its new automated storage and retrieval system (AS/RS), "MaxX," designed specifically for high-density storage in small spaces.

TABLE OF CONTENTS

1 INTRODUCTION OF GLOBAL LOGISTICS AUTOMATION MARKET

  • 1.1 Overview of the Market
  • 1.2 Scope of Report
  • 1.3 Assumptions

2 EXECUTIVE SUMMARY

3 RESEARCH METHODOLOGY OF VERIFIED MARKET RESEARCH

  • 3.1 Data Mining
  • 3.2 Validation
  • 3.3 Primary Interviews
  • 3.4 List of Data Sources

4 GLOBAL LOGISTICS AUTOMATION MARKET OUTLOOK

  • 4.1 Overview
  • 4.2 Market Dynamics
    • 4.2.1 Drivers
    • 4.2.2 Restraints
    • 4.2.3 Opportunities
  • 4.3 Porters Five Force Model
  • 4.4 Value Chain Analysis

5 GLOBAL LOGISTICS AUTOMATION MARKET, BY COMPONENT

  • 5.1 Overview
  • 5.2 Hardware
  • 5.3 Software
  • 5.4 Services

6 GLOBAL LOGISTICS AUTOMATION MARKET, BY FUNCTION

  • 6.1 Overview
  • 6.2 Inventory & Storage Management
  • 6.3 Transportation Management

7 GLOBAL LOGISTICS AUTOMATION MARKET, BY ORGANIZATION SIZE

  • 7.1 Overview
  • 7.2 Large Enterprises
  • 7.3 Small & Medium Enterprises

8 GLOBAL LOGISTICS AUTOMATION MARKET, BY GEOGRAPHY

  • 8.1 Overview
  • 8.2 North America
    • 8.2.1 U.S.
    • 8.2.2 Canada
    • 8.2.3 Mexico
  • 8.3 Europe
    • 8.3.1 Germany
    • 8.3.2 U.K.
    • 8.3.3 France
    • 8.3.4 Italy
    • 8.3.5 Spain
    • 8.3.6 Rest of Europe
  • 8.4 Asia Pacific
    • 8.4.1 China
    • 8.4.2 Japan
    • 8.4.3 India
    • 8.4.4 Rest of Asia Pacific
  • 8.5 Latin America
    • 8.5.1 Brazil
    • 8.5.2 Argentina
    • 8.5.3 Rest of Latin America
  • 8.6 Middle East and Africa
    • 8.6.1 UAE
    • 8.6.2 Saudi Arabia
    • 8.6.3 South Africa
    • 8.6.4 Rest of Middle-East and Africa

9 GLOBAL LOGISTICS AUTOMATION MARKET COMPETITIVE LANDSCAPE

  • 9.1 Overview
  • 9.2 Company Market Ranking
  • 9.3 Key Developments
  • 9.4 Company Regional Footprint
  • 9.5 Company Industry Footprint
  • 9.6 ACE Matrix

10 COMPANY PROFILES

  • 10.1 Honeywell International Inc.
    • 10.1.1 Company Overview
    • 10.1.2 Company Insights
    • 10.1.3 Product Benchmarking
    • 10.1.4 Key Developments
    • 10.1.5 Winning Imperatives
    • 10.1.6 Current Focus & Strategies
    • 10.1.7 Threat from Competition
    • 10.1.8 SWOT Analysis
  • 10.2 Siemens AG
    • 10.2.1 Company Overview
    • 10.2.2 Company Insights
    • 10.2.3 Product Benchmarking
    • 10.2.4 Key Developments
    • 10.2.5 Winning Imperatives
    • 10.2.6 Current Focus & Strategies
    • 10.2.7 Threat from Competition
    • 10.2.8 SWOT Analysis
  • 10.3 ABB Ltd
    • 10.3.1 Company Overview
    • 10.3.2 Company Insights
    • 10.3.3 Product Benchmarking
    • 10.3.4 Key Developments
    • 10.3.5 Winning Imperatives
    • 10.3.6 Current Focus & Strategies
    • 10.3.7 Threat from Competition
    • 10.3.8 SWOT Analysis
  • 10.4 Bosch Rexroth AG
    • 10.4.1 Company Overview
    • 10.4.2 Company Insights
    • 10.4.3 Product Benchmarking
    • 10.4.4 Key Developments
    • 10.4.5 Winning Imperatives
    • 10.4.6 Current Focus & Strategies
    • 10.4.7 Threat from Competition
    • 10.4.8 SWOT Analysis
  • 10.5 Fetch Robotics Inc.
    • 10.5.1 Company Overview
    • 10.5.2 Company Insights
    • 10.5.3 Product Benchmarking
    • 10.5.4 Key Developments
    • 10.5.5 Winning Imperatives
    • 10.5.6 Current Focus & Strategies
    • 10.5.7 Threat from Competition
    • 10.5.8 SWOT Analysis
  • 10.6 Geek+ Robotics
    • 10.6.1 Company Overview
    • 10.6.2 Company Insights
    • 10.6.3 Product Benchmarking
    • 10.6.4 Key Developments
    • 10.6.5 Winning Imperatives
    • 10.6.6 Current Focus & Strategies
    • 10.6.7 Threat from Competition
    • 10.6.8 SWOT Analysis
  • 10.7 GreyOrange
    • 10.7.1 Company Overview
    • 10.7.2 Company Insights
    • 10.7.3 Product Benchmarking
    • 10.7.4 Key Developments
    • 10.7.5 Winning Imperatives
    • 10.7.6 Current Focus & Strategies
    • 10.7.7 Threat from Competition
    • 10.7.8 SWOT Analysis
  • 10.8 KNEX Logistics Group
    • 10.8.1 Company Overview
    • 10.8.2 Company Insights
    • 10.8.3 Product Benchmarking
    • 10.8.4 Key Developments
    • 10.8.5 Winning Imperatives
    • 10.8.6 Current Focus & Strategies
    • 10.8.7 Threat from Competition
    • 10.8.8 SWOT Analysis
  • 10.9 Magazino GmbH
    • 10.9.1 Company Overview
    • 10.9.2 Company Insights
    • 10.9.3 Product Benchmarking
    • 10.9.4 Key Developments
    • 10.9.5 Winning Imperatives
    • 10.9.6 Current Focus & Strategies
    • 10.9.7 Threat from Competition
    • 10.9.8 SWOT Analysis
  • 10.10 Swisslog Holding AG
    • 10.10.1 Company Overview
    • 10.10.2 Company Insights
    • 10.10.3 Product Benchmarking
    • 10.10.4 Key Developments
    • 10.10.5 Winning Imperatives
    • 10.10.6 Current Focus & Strategies
    • 10.10.7 Threat from Competition
    • 10.10.8 SWOT Analysis

11 VERIFIED MARKET INTELLIGENCE

  • 11.1 About Verified Market Intelligence
  • 11.2 Dynamic Data Visualization