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市場調查報告書
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2111262

2026年全球物流自動化人工智慧(AI)市場報告

Artificial Intelligence (AI) In Logistics Automation Global Market Report 2026

出版日期: | 出版商: The Business Research Company | 英文 250 Pages | 商品交期: 2-10個工作天內

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簡介目錄

近年來,人工智慧(AI)在物流自動化市場的規模呈現爆炸性成長。預計該市場規模將從2025年的122.9億美元成長到2026年的164.5億美元,複合年成長率(CAGR)高達33.8%。這一成長主要歸功於電子商務物流需求的擴張、倉儲自動化系統的普及、運輸管理軟體的廣泛應用、供應鏈全球化的推進以及機器學習在物流規劃中的早期應用。

未來幾年,物流自動化領域的人工智慧(AI)市場預計將迎來顯著成長。預計到2030年,該市場將以34.1%的複合年成長率成長,達到531.4億美元。這一成長主要歸功於自動駕駛配送車輛和無人機的技術進步、人工智慧驅動的供應鏈編配平台的擴展、對即時物流可視性日益成長的需求、邊緣運算在倉儲營運中的普及,以及對成本效益和永續物流運營的日益重視。預測期間的關鍵趨勢包括:本地化最後一公里配送最佳化平台的興起、基於需求預測的庫存佈局的廣泛應用、利用自動駕駛無人機和車輛擴展配送網路、物流仿真中數位孿生模型整合技術的進步,以及跨境電商物流自動化和清關業務數字化的蓬勃發展。

電子商務的蓬勃發展預計將推動人工智慧(AI)在物流自動化市場的成長。電子商務是指透過數位平台和線上網路進行商品和服務買賣的過程。智慧型手機和網路的普及推動了電子商務的蓬勃發展,使消費者能夠隨時隨地便捷地瀏覽、比較和購買商品。電子商務的蓬勃發展帶動了訂單量的成長和消費者對配送速度的更高期望,從而增加了對物流自動化領域人工智慧(AI)的需求。倉庫正擴大採用人工智慧系統,以更精準、更有效率地完成揀貨、分類、包裝和庫存管理等作業。例如,根據美國人口普查局2026年5月發布的數據,預計2026年第一季的電子商務銷售額將比2025年同期成長9.7%(±1.8%)。因此,電子商務的蓬勃發展正在推動物流自動化領域人工智慧(AI)市場的成長。

在物流自動化人工智慧 (AI) 市場中,領先企業正致力於開發創新解決方案,例如人工智慧驅動的網格機器人履約系統,以提高營運效率、加快訂單處理速度並提升倉庫容量。人工智慧驅動的網格機器人履約系統是一種倉庫自動化系統,它利用人工智慧驅動的機器人,在結構化的網格佈局中有效地儲存、檢索和處理訂單,最大限度地減少人工干預。例如,2026 年 3 月,總部位於美國的倉庫機器人和自動化公司 Brightpick Inc. 推出了“Gridpicker”,這是一款由人工智慧驅動的網格機器人履約系統,可在倉庫中實現高吞吐量、全自動的揀貨和履約作業。該系統基於 Brightpick 成熟的「Autopicker」技術,利用人工智慧驅動的行動機械手臂在高密度網格儲存架構中運行,執行自主的產品揀選和訂單聚合。它還整合了電腦視覺、基於機器學習的任務分配和即時車隊協調功能,以最佳化揀貨路線並最大限度地減少空閒時間。該解決方案旨在顯著提高倉庫處理能力,減少對人力的依賴,並提高履約的速度和準確性,使其成為傳統自動化倉庫系統的下一代替代方案。

目錄

第1章執行摘要

第2章 市場特徵

  • 市場定義和範圍
  • 市場區隔
  • 主要產品和服務概述
  • 全球物流自動化人工智慧(AI)市場:吸引力評分及分析
  • 成長潛力分析、競爭評估、策略適宜性評估、風險狀況評估

第3章 市場供應鏈分析

  • 供應鏈與生態系概述
  • 清單:主要原料、資源和供應商
  • 主要經銷商和通路合作夥伴名單
  • 主要最終用戶列表

第4章:全球市場趨勢與策略

  • 關鍵科技與未來趨勢
    • 人工智慧和自主智慧
    • 自主系統、機器人、智慧運輸
    • 物聯網、智慧基礎設施、互聯生態系統
    • 數位化、雲端運算、巨量資料、網路安全
    • 永續性、氣候技術、循環經濟
  • 主要趨勢
    • 超本地化最後一公里配送最佳化平台的興起
    • 擴大基於需求預測的庫存分配方法的應用
    • 利用自主無人機和車輛擴展配送網路
    • 數位孿生模型在物流模擬中的應用正在不斷推進。
    • 跨境電子商務中,物流自動化和海關清關數位化正在迅速發展。

第5章 終端用戶產業市場分析

  • 電子商務與零售
  • 製造業
  • 運輸/物流
  • 食品/飲料
  • 製藥

第6章 市場:宏觀經濟情景,包括利率、通貨膨脹、地緣政治、貿易戰和關稅的影響、關稅戰和貿易保護主義對供應鏈的影響,以及 COVID-19 疫情對市場的影響。

第7章:全球策略分析架構、目前市場規模、市場對比及成長率分析

  • 全球物流自動化人工智慧(AI)市場:PESTEL 分析
  • 全球物流自動化人工智慧(AI)市場:規模、對比及成長率分析
  • 全球人工智慧(AI)物流自動化市場表現:規模與成長,2020-2025年
  • 全球物流自動化人工智慧(AI)市場預測:規模與成長,2025-2030年,2035年

第8章:全球市場總規模(TAM)

第9章 市場細分

  • 按組件
  • 硬體、軟體、服務
  • 按實現類型
  • 雲端部署、本地部署、混合部署
  • 按公司規模
  • 中小企業、大型企業
  • 透過使用
  • 倉庫自動化、車輛管理和自動駕駛車輛、最後一公里配送、供應鏈規劃和需求預測、客戶服務和客戶體驗,以及跨境物流和海關業務的自動化。
  • 按最終用戶行業分類
  • 電子商務和零售、製造業、運輸和物流、食品和飲料、製藥。
  • 按類型細分:硬體
  • 自主移動機器人、自動導引運輸車、感測器、攝影機、無線射頻識別 (RFID) 設備、工業機器人、自動化倉庫系統、無人機、輸送機系統
  • 按類型細分:軟體
  • 運輸管理軟體、倉庫管理軟體、庫存最佳化軟體、預測分析軟體、路線最佳化軟體、供應鏈視覺化軟體、車輛管理軟體、訂單管理軟體
  • 按類型細分:服務
  • 諮詢服務、系統整合服務、實施服務、維護與支援服務、託管服務、培訓服務、資料分析服務、雲端服務

第10章 市場與產業指標:依國家分類

第11章 區域與國別分析

第12章 亞太市場

第13章:中國市場

第14章:印度市場

第15章:日本市場

第16章:澳洲市場

第17章:印尼市場

第18章:韓國市場

第19章 台灣市場

第20章:東南亞市場

第21章 西歐市場

第22章英國市場

第23章:德國市場

第24章:法國市場

第25章:義大利市場

第26章:西班牙市場

第27章 東歐市場

第28章:俄羅斯市場

第29章 北美市場

第30章:美國市場

第31章:加拿大市場

第32章:南美洲市場

第33章:巴西市場

第34章 中東市場

第35章:非洲市場

第36章 市場監理與投資環境

第37章:競爭格局與公司概況

  • 物流自動化領域人工智慧(AI)市場:競爭格局及市場佔有率(2024年)
  • 物流自動化領域人工智慧(AI)市場:公司估值矩陣
  • 物流自動化領域的人工智慧(AI)市場:公司概況
    • Amazon Robotics LLC
    • Oracle Corporation
    • Siemens AG
    • ABB Ltd.
    • Daifuku Co. Ltd.

第38章 其他大型企業和創新企業

  • KUKA AG, Zebra Technologies Corp., Kardex Holding AG, Manhattan Associates Inc., Dematic Corp., Ocado Group plc, Blue Yonder Group Inc., Symbotic Inc., AutoStore Holdings Ltd., Swisslog Holding AG, Boston Dynamics Inc., GreyOrange Pte. Ltd., Geekplus Technology Co. Ltd., Addverb Technologies Pvt. Ltd., Locus Robotics Corporation

第39章 全球市場競爭基準分析與儀錶板

第40章:預計進入市場的新創企業

第41章 重大併購

第42章 具有高市場潛力的國家、細分市場與策略

  • 2030年物流自動化人工智慧(AI)市場:提供新機會的國家
  • 2030年物流自動化人工智慧(AI)市場:新興機會細分領域
  • 2030年物流自動化人工智慧(AI)市場:成長策略
    • 基於市場趨勢的策略
    • 競爭對手的策略

第43章附錄

簡介目錄
Product Code: IT4MAIAL02_G26Q2

Artificial intelligence (AI) in logistics automation refers to the implementation of advanced algorithms and machine learning technologies to simplify and optimize logistics functions, including transportation, warehousing, inventory control, and supply chain coordination. It facilitates real-time decision-making, predictive analytics, and automated processes to increase operational efficiency, lower costs, and improve delivery precision.

The primary components of artificial intelligence (AI) in logistics automation include hardware, software, and services. Hardware refers to AI-enabled devices and infrastructure, including sensors, robotics, and automated systems, that facilitate logistics operations and support operational decision-making. These solutions are deployed through cloud-based, on-premises, and hybrid models and are adopted by small and medium enterprises and large enterprises. The various applications include warehouse automation, fleet management and autonomous vehicles, last-mile delivery, supply chain planning and forecasting, customer service and experience, and cross-border logistics and customs automation, and they are used by several end-user industries such as e-commerce and retail, manufacturing, transportation and logistics, food and beverage, and pharmaceuticals.

Tariffs are influencing the artificial intelligence (AI) in logistics automation market by increasing the cost of imported robotics systems, autonomous vehicles, sensors, and semiconductor-based control systems used in advanced logistics operations. This is disrupting the deployment of warehouse automation, fleet management, and last-mile delivery solutions across e-commerce and retail, manufacturing, and transportation sectors, particularly in import-reliant regions such as Asia-Pacific and Latin America. Hardware-intensive segments such as autonomous mobile robots and smart warehousing systems are most affected due to global supply chain dependencies. However, tariffs are also encouraging local manufacturing of logistics hardware, regional supplier diversification, and increased investment in domestic automation ecosystems, strengthening long-term supply chain resilience and technological independence.

The artificial intelligence (AI) in logistics automation market size has grown exponentially in recent years. It will grow from $12.29 billion in 2025 to $16.45 billion in 2026 at a compound annual growth rate (CAGR) of 33.8%. The growth in the historic period can be attributed to growth of e commerce logistics demand, expansion of warehouse automation systems, rising adoption of transportation management software, increasing globalization of supply chains, early integration of machine learning in logistics planning.

The artificial intelligence (AI) in logistics automation market size is expected to see exponential growth in the next few years. It will grow to $53.14 billion in 2030 at a compound annual growth rate (CAGR) of 34.1%. The growth in the forecast period can be attributed to advancement in autonomous delivery vehicles and drones, expansion of ai driven supply chain orchestration platforms, rising demand for real time logistics visibility, growth of edge computing in warehouse operations, increasing focus on cost efficient and sustainable logistics operations. Major trends in the forecast period include rise of hyperlocal last-mile delivery optimization platforms, increasing adoption of predictive demand-based inventory positioning, expansion of autonomous drone and vehicle-based delivery networks, growing integration of digital twin models for logistics simulation, surge in cross-border e-commerce logistics automation and customs digitization.

The expansion of e-commerce is expected to propel the growth of the artificial intelligence (AI) in logistics automation market going forward. E-commerce refers to the process of buying and selling goods or services through digital platforms and online networks. The expansion of e-commerce is driven by the increasing use of smartphones and internet connectivity, enabling consumers to conveniently browse, compare, and purchase products anytime and from virtually any location. The expansion of e-commerce is increasing the demand for artificial intelligence (AI) in logistics automation by driving higher order volumes and delivery expectations, prompting warehouses to adopt AI-powered systems that accelerate picking, sorting, packaging, and inventory management operations with greater accuracy and efficiency. For instance, in May 2026, according to the Census Bureau, a US-based government agency, e-commerce estimates for the first quarter of 2026 increased by 9.7% (+-1.8%) compared to the corresponding period in 2025. Therefore, the expansion of e-commerce is driving the growth of the artificial intelligence (AI) in logistics automation market.

Leading companies operating in the artificial intelligence (AI) in logistics automation market are focusing on developing innovative solutions, such as AI-powered grid-based robotic fulfillment systems, to enhance operational efficiency, accelerate order processing, and improve warehouse throughput. AI-powered grid-based robotic fulfillment systems are warehouse automation systems that use artificial intelligence-driven robots operating within a structured grid layout to efficiently store, retrieve, and process orders with minimal human intervention. For example, in March 2026, Brightpick Inc., a US-based warehouse robotics and automation company, launched Gridpicker, an AI-powered grid-based robotic fulfillment system to enable high-throughput, fully automated warehouse order picking and fulfillment operations. The system is built on Brightpick's established Autopicker technology and uses AI-powered mobile manipulators operating within a dense grid storage architecture to execute autonomous item picking and order consolidation. It integrates computer vision, machine learning-based task allocation, and real-time fleet orchestration to optimize picking paths and minimize idle time. The solution is designed to significantly increase warehouse throughput, reduce labor dependency, and enhance fulfillment speed and accuracy, positioning it as a next-generation alternative to conventional automated storage and retrieval systems.

In September 2023, Logility Inc., a US-based supply chain planning software company, acquired Garvis for an undisclosed amount. Through this acquisition, Logility aims to strengthen its artificial intelligence-driven supply chain planning capabilities by incorporating generative artificial intelligence, machine learning, and AI-native demand forecasting into its digital supply chain platform to improve forecasting accuracy and operational decision-making. Garvis Analytics NV is a Belgium-based software-as-a-service company that specializes in artificial intelligence (AI) for logistics automation, with a particular focus on automating supply chain and logistics planning processes.

Major companies operating in the artificial intelligence (AI) in logistics automation market are Amazon Robotics LLC; Oracle Corporation; Siemens AG; ABB Ltd.; Daifuku Co. Ltd.; KUKA AG; Zebra Technologies Corp.; Kardex Holding AG; Manhattan Associates Inc.; Dematic Corp.; Ocado Group plc; Blue Yonder Group Inc.; Symbotic Inc.; AutoStore Holdings Ltd.; Swisslog Holding AG; Boston Dynamics Inc.; GreyOrange Pte. Ltd.; Geekplus Technology Co. Ltd.; Addverb Technologies Pvt. Ltd.; Locus Robotics Corporation; Fortna Inc.; Llama Logisol Private Limited; FarEye Technologies Inc.; Brightpick Inc.

North America was the largest region in the artificial intelligence (AI) in logistics automation market in 2025. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the artificial intelligence (AI) in logistics automation market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.

The countries covered in the artificial intelligence (AI) in logistics automation market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

The artificial intelligence (AI) in logistics automation market consists of revenues earned by entities by providing services such as route optimization, demand forecasting, warehouse automation, shipment tracking, and fleet management. The market value includes the value of related goods sold by the service provider or included within the service offering. The artificial intelligence (AI) in logistics automation market also includes sales of warehouse automation systems, autonomous robots, and smart warehouse management systems. Values in this market are 'factory gate' values, that is the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD unless otherwise specified).

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

The artificial intelligence (AI) in logistics automation market research report is one of a series of new reports from The Business Research Company that provides artificial intelligence (AI) in logistics automation market statistics, including artificial intelligence (AI) in logistics automation industry global market size, regional shares, competitors with a artificial intelligence (AI) in logistics automation market share, detailed artificial intelligence (AI) in logistics automation market segments, market trends and opportunities, and any further data you may need to thrive in the artificial intelligence (AI) in logistics automation industry. This artificial intelligence (AI) in logistics automation market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.

Artificial Intelligence (AI) In Logistics Automation Market Global Report 2026 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.

This report focuses artificial intelligence (ai) in logistics automation market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.

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Where is the largest and fastest growing market for artificial intelligence (ai) in logistics automation ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward, including technological disruption, regulatory shifts, and changing consumer preferences? The artificial intelligence (ai) in logistics automation market global report from the Business Research Company answers all these questions and many more.

The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, total addressable market (TAM), market attractiveness score (MAS), competitive landscape, market shares, company scoring matrix, trends and strategies for this market. It traces the market's historic and forecast market growth by geography.

  • The market characteristics section of the report defines and explains the market. This section also examines key products and services offered in the market, evaluates brand-level differentiation, compares product features, and highlights major innovation and product development trends.
  • The supply chain analysis section provides an overview of the entire value chain, including key raw materials, resources, and supplier analysis. It also provides a list competitor at each level of the supply chain.
  • The updated trends and strategies section analyses the shape of the market as it evolves and highlights emerging technology trends such as digital transformation, automation, sustainability initiatives, and AI-driven innovation. It suggests how companies can leverage these advancements to strengthen their market position and achieve competitive differentiation.
  • The regulatory and investment landscape section provides an overview of the key regulatory frameworks, regularity bodies, associations, and government policies influencing the market. It also examines major investment flows, incentives, and funding trends shaping industry growth and innovation.
  • The market size section gives the market size ($b) covering both the historic growth of the market, and forecasting its development.
  • The forecasts are made after considering the major factors currently impacting the market. These include the technological advancements such as AI and automation, Russia-Ukraine war, trade tariffs (government-imposed import/export duties), elevated inflation and interest rates.
  • The total addressable market (TAM) analysis section defines and estimates the market potential compares it with the current market size, and provides strategic insights and growth opportunities based on this evaluation.
  • The market attractiveness scoring section evaluates the market based on a quantitative scoring framework that considers growth potential, competitive dynamics, strategic fit, and risk profile. It also provides interpretive insights and strategic implications for decision-makers.
  • Market segmentations break down the market into sub markets.
  • The regional and country breakdowns section gives an analysis of the market in each geography and the size of the market by geography and compares their historic and forecast growth.
  • Expanded geographical coverage includes Taiwan and Southeast Asia, reflecting recent supply chain realignments and manufacturing shifts in the region. This section analyzes how these markets are becoming increasingly important hubs in the global value chain.
  • The competitive landscape chapter gives a description of the competitive nature of the market, market shares, and a description of the leading companies. Key financial deals which have shaped the market in recent years are identified.
  • The company scoring matrix section evaluates and ranks leading companies based on a multi-parameter framework that includes market share or revenues, product innovation, and brand recognition.

Scope

  • Markets Covered:1) By Components: Hardware; Software; Services
  • 2) By Deployment Modes: Cloud-Based; On-Premises; Hybrid
  • 3) By Enterprise Sizes: Small And Medium Enterprises; Large Enterprises
  • 4) By Applications: Warehouse Automation; Fleet Management And Autonomous Vehicles; Last-Mile Delivery; Supply Chain Planning And Forecasting; Customer Service And Experience; Cross-Border Logistics And Customs Automation
  • 5) By End-User Industry: E-Commerce And Retail; Manufacturing; Transportation And Logistics; Food And Beverage; Pharmaceuticals
  • Subsegments:
  • 1) By Hardware: Autonomous Mobile Robots; Automated Guided Vehicles; Sensors; Cameras; Radio Frequency Identification Devices; Industrial Robots; Automated Storage And Retrieval Systems; Drones; Conveyor Systems
  • 2) By Software: Transportation Management Software; Warehouse Management Software; Inventory Optimization Software; Predictive Analytics Software; Route Optimization Software; Supply Chain Visibility Software; Fleet Management Software; Order Management Software
  • 3) By Services: Consulting Services; System Integration Services; Deployment Services; Maintenance And Support Services; Managed Services; Training Services; Data Analytics Services; Cloud Services
  • Companies Mentioned: Amazon Robotics LLC; Oracle Corporation; Siemens AG; ABB Ltd.; Daifuku Co. Ltd.; KUKA AG; Zebra Technologies Corp.; Kardex Holding AG; Manhattan Associates Inc.; Dematic Corp.; Ocado Group plc; Blue Yonder Group Inc.; Symbotic Inc.; AutoStore Holdings Ltd.; Swisslog Holding AG; Boston Dynamics Inc.; GreyOrange Pte. Ltd.; Geekplus Technology Co. Ltd.; Addverb Technologies Pvt. Ltd.; Locus Robotics Corporation; Fortna Inc.; Llama Logisol Private Limited; FarEye Technologies Inc.; Brightpick Inc.
  • Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Taiwan; Russia; South Korea; UK; USA; Canada; Italy; Spain
  • Regions: Asia-Pacific; South East Asia; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
  • Time Series: Five years historic and ten years forecast.
  • Data: Ratios of market size and growth to related markets, GDP proportions, expenditure per capita,
  • Data Segmentations: country and regional historic and forecast data, market share of competitors, market segments.
  • Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.
  • Delivery Format: Word, PDF or Interactive Report
  • + Excel Dashboard
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Table of Contents

1. Executive Summary

  • 1.1. Key Market Insights (2020-2035)
  • 1.2. Visual Dashboard: Market Size, Growth Rate, Hotspots
  • 1.3. Major Factors Driving the Market
  • 1.4. Top Three Trends Shaping the Market

2. Artificial Intelligence (AI) In Logistics Automation Market Characteristics

  • 2.1. Market Definition & Scope
  • 2.2. Market Segmentations
  • 2.3. Overview of Key Products and Services
  • 2.4. Global Artificial Intelligence (AI) In Logistics Automation Market Attractiveness Scoring And Analysis
    • 2.4.1. Overview of Market Attractiveness Framework
    • 2.4.2. Quantitative Scoring Methodology
    • 2.4.3. Factor-Wise Evaluation
  • Growth Potential Analysis, Competitive Dynamics Assessment, Strategic Fit Assessment And Risk Profile Evaluation
    • 2.4.4. Market Attractiveness Scoring and Interpretation
    • 2.4.5. Strategic Implications and Recommendations

3. Artificial Intelligence (AI) In Logistics Automation Market Supply Chain Analysis

  • 3.1. Overview of the Supply Chain and Ecosystem
  • 3.2. List Of Key Raw Materials, Resources & Suppliers
  • 3.3. List Of Major Distributors and Channel Partners
  • 3.4. List Of Major End Users

4. Global Artificial Intelligence (AI) In Logistics Automation Market Trends And Strategies

  • 4.1. Key Technologies & Future Trends
    • 4.1.1 Artificial Intelligence & Autonomous Intelligence
    • 4.1.2 Autonomous Systems, Robotics & Smart Mobility
    • 4.1.3 Internet Of Things (IoT), Smart Infrastructure & Connected Ecosystems
    • 4.1.4 Digitalization, Cloud, Big Data & Cybersecurity
    • 4.1.5 Sustainability, Climate Tech & Circular Economy
  • 4.2. Major Trends
    • 4.2.1 Rise Of Hyperlocal Last-Mile Delivery Optimization Platforms
    • 4.2.2 Increasing Adoption Of Predictive Demand-Based Inventory Positioning
    • 4.2.3 Expansion Of Autonomous Drone And Vehicle-Based Delivery Networks
    • 4.2.4 Growing Integration Of Digital Twin Models For Logistics Simulation
    • 4.2.5 Surge In Cross-Border E-Commerce Logistics Automation And Customs Digitization

5. Artificial Intelligence (AI) In Logistics Automation Market Analysis Of End Use Industries

  • 5.1 E-Commerce And Retail
  • 5.2 Manufacturing
  • 5.3 Transportation And Logistics
  • 5.4 Food And Beverage
  • 5.5 Pharmaceuticals

6. Artificial Intelligence (AI) In Logistics Automation Market - Macro Economic Scenario Including The Impact Of Interest Rates, Inflation, Geopolitics, Trade Wars and Tariffs, Supply Chain Impact from Tariff War & Trade Protectionism, And Covid And Recovery On The Market

7. Global Artificial Intelligence (AI) In Logistics Automation Strategic Analysis Framework, Current Market Size, Market Comparisons And Growth Rate Analysis

  • 7.1. Global Artificial Intelligence (AI) In Logistics Automation PESTEL Analysis (Political, Economical, Social, Technological, Environmental and Legal Factors, Drivers and Restraints)
  • 7.2. Global Artificial Intelligence (AI) In Logistics Automation Market Size, Comparisons And Growth Rate Analysis
  • 7.3. Global Artificial Intelligence (AI) In Logistics Automation Historic Market Size and Growth, 2020 - 2025, Value ($ Billion)
  • 7.4. Global Artificial Intelligence (AI) In Logistics Automation Forecast Market Size and Growth, 2025 - 2030, 2035F, Value ($ Billion)

8. Global Artificial Intelligence (AI) In Logistics Automation Total Addressable Market (TAM) Analysis for the Market

  • 8.1. Definition and Scope of Total Addressable Market (TAM)
  • 8.2. Methodology and Assumptions
  • 8.3. Global Total Addressable Market (TAM) Estimation
  • 8.4. TAM vs. Current Market Size Analysis
  • 8.5. Strategic Insights and Growth Opportunities from TAM Analysis

9. Artificial Intelligence (AI) In Logistics Automation Market Segmentation

  • 9.1. Global Artificial Intelligence (AI) In Logistics Automation Market, Segmentation By Components, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • Hardware, Software, Services
  • 9.2. Global Artificial Intelligence (AI) In Logistics Automation Market, Segmentation By Deployment Modes, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • Cloud-Based, On-Premises, Hybrid
  • 9.3. Global Artificial Intelligence (AI) In Logistics Automation Market, Segmentation By Enterprise Sizes, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • Small And Medium Enterprises, Large Enterprises
  • 9.4. Global Artificial Intelligence (AI) In Logistics Automation Market, Segmentation By Applications, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • Warehouse Automation, Fleet Management And Autonomous Vehicles, Last-Mile Delivery, Supply Chain Planning And Forecasting, Customer Service And Experience, Cross-Border Logistics And Customs Automation
  • 9.5. Global Artificial Intelligence (AI) In Logistics Automation Market, Segmentation By End-User Industry, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • E-Commerce And Retail, Manufacturing, Transportation And Logistics, Food And Beverage, Pharmaceuticals
  • 9.6. Global Artificial Intelligence (AI) In Logistics Automation Market, Sub-Segmentation Of Hardware, By Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • Autonomous Mobile Robots, Automated Guided Vehicles, Sensors, Cameras, Radio Frequency Identification Devices, Industrial Robots, Automated Storage And Retrieval Systems, Drones, Conveyor Systems
  • 9.7. Global Artificial Intelligence (AI) In Logistics Automation Market, Sub-Segmentation Of Software, By Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • Transportation Management Software, Warehouse Management Software, Inventory Optimization Software, Predictive Analytics Software, Route Optimization Software, Supply Chain Visibility Software, Fleet Management Software, Order Management Software
  • 9.8. Global Artificial Intelligence (AI) In Logistics Automation Market, Sub-Segmentation Of Services, By Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • Consulting Services, System Integration Services, Deployment Services, Maintenance And Support Services, Managed Services, Training Services, Data Analytics Services, Cloud Services

10. Artificial Intelligence (AI) In Logistics Automation Market, Industry Metrics By Country

  • 10.1. Global Artificial Intelligence (AI) In Logistics Automation Market, Average Selling Price By Country, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $
  • 10.2. Global Artificial Intelligence (AI) In Logistics Automation Market, Average Spending Per Capita (Employed) By Country, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $

11. Artificial Intelligence (AI) In Logistics Automation Market Regional And Country Analysis

  • 11.1. Global Artificial Intelligence (AI) In Logistics Automation Market, Split By Region, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • 11.2. Global Artificial Intelligence (AI) In Logistics Automation Market, Split By Country, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

12. Asia-Pacific Artificial Intelligence (AI) In Logistics Automation Market

  • 12.1. Asia-Pacific Artificial Intelligence (AI) In Logistics Automation Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 12.2. Asia-Pacific Artificial Intelligence (AI) In Logistics Automation Market, Segmentation By Components, Segmentation By Deployment Modes, Segmentation By Enterprise Sizes, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

13. China Artificial Intelligence (AI) In Logistics Automation Market

  • 13.1. China Artificial Intelligence (AI) In Logistics Automation Market Overview
  • Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 13.2. China Artificial Intelligence (AI) In Logistics Automation Market, Segmentation By Components, Segmentation By Deployment Modes, Segmentation By Enterprise Sizes, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

14. India Artificial Intelligence (AI) In Logistics Automation Market

  • 14.1. India Artificial Intelligence (AI) In Logistics Automation Market, Segmentation By Components, Segmentation By Deployment Modes, Segmentation By Enterprise Sizes, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

15. Japan Artificial Intelligence (AI) In Logistics Automation Market

  • 15.1. Japan Artificial Intelligence (AI) In Logistics Automation Market Overview
  • Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 15.2. Japan Artificial Intelligence (AI) In Logistics Automation Market, Segmentation By Components, Segmentation By Deployment Modes, Segmentation By Enterprise Sizes, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

16. Australia Artificial Intelligence (AI) In Logistics Automation Market

  • 16.1. Australia Artificial Intelligence (AI) In Logistics Automation Market, Segmentation By Components, Segmentation By Deployment Modes, Segmentation By Enterprise Sizes, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

17. Indonesia Artificial Intelligence (AI) In Logistics Automation Market

  • 17.1. Indonesia Artificial Intelligence (AI) In Logistics Automation Market, Segmentation By Components, Segmentation By Deployment Modes, Segmentation By Enterprise Sizes, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

18. South Korea Artificial Intelligence (AI) In Logistics Automation Market

  • 18.1. South Korea Artificial Intelligence (AI) In Logistics Automation Market Overview
  • Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 18.2. South Korea Artificial Intelligence (AI) In Logistics Automation Market, Segmentation By Components, Segmentation By Deployment Modes, Segmentation By Enterprise Sizes, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

19. Taiwan Artificial Intelligence (AI) In Logistics Automation Market

  • 19.1. Taiwan Artificial Intelligence (AI) In Logistics Automation Market Overview
  • Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 19.2. Taiwan Artificial Intelligence (AI) In Logistics Automation Market, Segmentation By Components, Segmentation By Deployment Modes, Segmentation By Enterprise Sizes, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

20. South East Asia Artificial Intelligence (AI) In Logistics Automation Market

  • 20.1. South East Asia Artificial Intelligence (AI) In Logistics Automation Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 20.2. South East Asia Artificial Intelligence (AI) In Logistics Automation Market, Segmentation By Components, Segmentation By Deployment Modes, Segmentation By Enterprise Sizes, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

21. Western Europe Artificial Intelligence (AI) In Logistics Automation Market

  • 21.1. Western Europe Artificial Intelligence (AI) In Logistics Automation Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 21.2. Western Europe Artificial Intelligence (AI) In Logistics Automation Market, Segmentation By Components, Segmentation By Deployment Modes, Segmentation By Enterprise Sizes, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

22. UK Artificial Intelligence (AI) In Logistics Automation Market

  • 22.1. UK Artificial Intelligence (AI) In Logistics Automation Market, Segmentation By Components, Segmentation By Deployment Modes, Segmentation By Enterprise Sizes, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

23. Germany Artificial Intelligence (AI) In Logistics Automation Market

  • 23.1. Germany Artificial Intelligence (AI) In Logistics Automation Market, Segmentation By Components, Segmentation By Deployment Modes, Segmentation By Enterprise Sizes, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

24. France Artificial Intelligence (AI) In Logistics Automation Market

  • 24.1. France Artificial Intelligence (AI) In Logistics Automation Market, Segmentation By Components, Segmentation By Deployment Modes, Segmentation By Enterprise Sizes, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

25. Italy Artificial Intelligence (AI) In Logistics Automation Market

  • 25.1. Italy Artificial Intelligence (AI) In Logistics Automation Market, Segmentation By Components, Segmentation By Deployment Modes, Segmentation By Enterprise Sizes, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

26. Spain Artificial Intelligence (AI) In Logistics Automation Market

  • 26.1. Spain Artificial Intelligence (AI) In Logistics Automation Market, Segmentation By Components, Segmentation By Deployment Modes, Segmentation By Enterprise Sizes, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

27. Eastern Europe Artificial Intelligence (AI) In Logistics Automation Market

  • 27.1. Eastern Europe Artificial Intelligence (AI) In Logistics Automation Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 27.2. Eastern Europe Artificial Intelligence (AI) In Logistics Automation Market, Segmentation By Components, Segmentation By Deployment Modes, Segmentation By Enterprise Sizes, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

28. Russia Artificial Intelligence (AI) In Logistics Automation Market

  • 28.1. Russia Artificial Intelligence (AI) In Logistics Automation Market, Segmentation By Components, Segmentation By Deployment Modes, Segmentation By Enterprise Sizes, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

29. North America Artificial Intelligence (AI) In Logistics Automation Market

  • 29.1. North America Artificial Intelligence (AI) In Logistics Automation Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 29.2. North America Artificial Intelligence (AI) In Logistics Automation Market, Segmentation By Components, Segmentation By Deployment Modes, Segmentation By Enterprise Sizes, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

30. USA Artificial Intelligence (AI) In Logistics Automation Market

  • 30.1. USA Artificial Intelligence (AI) In Logistics Automation Market Overview
  • Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 30.2. USA Artificial Intelligence (AI) In Logistics Automation Market, Segmentation By Components, Segmentation By Deployment Modes, Segmentation By Enterprise Sizes, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

31. Canada Artificial Intelligence (AI) In Logistics Automation Market

  • 31.1. Canada Artificial Intelligence (AI) In Logistics Automation Market Overview
  • Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 31.2. Canada Artificial Intelligence (AI) In Logistics Automation Market, Segmentation By Components, Segmentation By Deployment Modes, Segmentation By Enterprise Sizes, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

32. South America Artificial Intelligence (AI) In Logistics Automation Market

  • 32.1. South America Artificial Intelligence (AI) In Logistics Automation Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 32.2. South America Artificial Intelligence (AI) In Logistics Automation Market, Segmentation By Components, Segmentation By Deployment Modes, Segmentation By Enterprise Sizes, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

33. Brazil Artificial Intelligence (AI) In Logistics Automation Market

  • 33.1. Brazil Artificial Intelligence (AI) In Logistics Automation Market, Segmentation By Components, Segmentation By Deployment Modes, Segmentation By Enterprise Sizes, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

34. Middle East Artificial Intelligence (AI) In Logistics Automation Market

  • 34.1. Middle East Artificial Intelligence (AI) In Logistics Automation Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 34.2. Middle East Artificial Intelligence (AI) In Logistics Automation Market, Segmentation By Components, Segmentation By Deployment Modes, Segmentation By Enterprise Sizes, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

35. Africa Artificial Intelligence (AI) In Logistics Automation Market

  • 35.1. Africa Artificial Intelligence (AI) In Logistics Automation Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 35.2. Africa Artificial Intelligence (AI) In Logistics Automation Market, Segmentation By Components, Segmentation By Deployment Modes, Segmentation By Enterprise Sizes, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

36. Artificial Intelligence (AI) In Logistics Automation Market Regulatory and Investment Landscape

37. Artificial Intelligence (AI) In Logistics Automation Market Competitive Landscape And Company Profiles

  • 37.1. Artificial Intelligence (AI) In Logistics Automation Market Competitive Landscape And Market Share 2024
    • 37.1.1. Top 10 Companies (Ranked by revenue/share)
  • 37.2. Artificial Intelligence (AI) In Logistics Automation Market - Company Scoring Matrix
    • 37.2.1. Market Revenues
    • 37.2.2. Product Innovation Score
    • 37.2.3. Brand Recognition
  • 37.3. Artificial Intelligence (AI) In Logistics Automation Market Company Profiles
    • 37.3.1. Amazon Robotics LLC Overview, Products and Services, Strategy and Financial Analysis
    • 37.3.2. Oracle Corporation Overview, Products and Services, Strategy and Financial Analysis
    • 37.3.3. Siemens AG Overview, Products and Services, Strategy and Financial Analysis
    • 37.3.4. ABB Ltd. Overview, Products and Services, Strategy and Financial Analysis
    • 37.3.5. Daifuku Co. Ltd. Overview, Products and Services, Strategy and Financial Analysis

38. Artificial Intelligence (AI) In Logistics Automation Market Other Major And Innovative Companies

  • KUKA AG, Zebra Technologies Corp., Kardex Holding AG, Manhattan Associates Inc., Dematic Corp., Ocado Group plc, Blue Yonder Group Inc., Symbotic Inc., AutoStore Holdings Ltd., Swisslog Holding AG, Boston Dynamics Inc., GreyOrange Pte. Ltd., Geekplus Technology Co. Ltd., Addverb Technologies Pvt. Ltd., Locus Robotics Corporation

39. Global Artificial Intelligence (AI) In Logistics Automation Market Competitive Benchmarking And Dashboard

40. Upcoming Startups in the Market

41. Key Mergers And Acquisitions In The Artificial Intelligence (AI) In Logistics Automation Market

42. Artificial Intelligence (AI) In Logistics Automation Market High Potential Countries, Segments and Strategies

  • 42.1. Artificial Intelligence (AI) In Logistics Automation Market In 2030 - Countries Offering Most New Opportunities
  • 42.2. Artificial Intelligence (AI) In Logistics Automation Market In 2030 - Segments Offering Most New Opportunities
  • 42.3. Artificial Intelligence (AI) In Logistics Automation Market In 2030 - Growth Strategies
    • 42.3.1. Market Trend Based Strategies
    • 42.3.2. Competitor Strategies

43. Appendix

  • 43.1. Abbreviations
  • 43.2. Currencies
  • 43.3. Historic And Forecast Inflation Rates
  • 43.4. Research Inquiries
  • 43.5. The Business Research Company
  • 43.6. Copyright And Disclaimer