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1883032

倉儲人工智慧市場規模、佔有率、成長及全球產業分析：依類型、應用和地區劃分的洞察與預測（2024-2032）

AI in Warehousing Market Size, Share, Growth and Global Industry Analysis By Type & Application, Regional Insights and Forecast to 2024-2032
出版日期: | 出版商: Fortune Business Insights Pvt. Ltd. | 英文 120 Pages | 商品交期: 請詢問到貨日

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倉儲人工智慧市場成長推動因素

隨著企業採用先進技術實現倉儲、運輸和庫存管理作業的自動化，全球倉儲人工智慧 (AI) 市場正經歷重大變革。最新研究顯示，受各行業快速數位化以及對更快、更有效率的倉儲流程的需求驅動，該市場在 2024 年的估值將達到 102.7 億美元。預計到 2025 年，在機器人、預測分析和人工智慧驅動的倉儲管理系統投資增加的推動下，該市場將成長至 126.9 億美元。預計到 2032 年，該市場將達到 613.6 億美元，反映了智慧自動化和人工智慧物流系統的長期應用。

人工智慧變革倉儲營運

人工智慧技術已成為下一代倉儲營運的核心要素。 2024年，企業迅速採用人工智慧工具進行庫存管理、供應鏈視覺化、揀貨、分類、預測性維護和路線最佳化。人工智慧系統提供的即時分析功能使倉庫管理人員能夠即時追蹤發貨狀態、監控庫存水準並評估績效指標，從而提高決策效率和營運準確性。人工智慧解決方案能夠最大限度地減少人為錯誤並降低對人工的依賴，這極大地促進了人工智慧解決方案在大中型倉庫中的應用。

亞馬遜網路服務 (AWS)、霍尼韋爾、IBM、甲骨文、微軟和 Locus Robotics 等全球主要供應商已透過與倉庫營運商的合作，加強了自身在倉儲領域的影響力。這些合作關係使技術供應商能夠將人工智慧演算法、機器人系統和雲端解決方案整合到倉庫工作流程中，從而增強營運可擴展性，並在 2024 年和 2025 年提高整體生產力。

互惠關稅的影響

儘管需求強勁，但由於關稅相關的干擾，市場成長面臨挑戰。許多人工智慧元件，例如物聯網感測器、機器人系統和倉庫管理軟體，都來自美國、中國、日本和韓國。川普政府徵收的關稅可能會增加關鍵組件的進口成本。這些成本的增加尤其會影響資金有限的中小型企業，從而延緩人工智慧的採用和對下一代倉庫自動化的投資。因此，關稅壁壘預計仍將是2024年和2025年人工智慧應用面臨的主要挑戰。

市場動態

推動因素：零售與電子商務領域人工智慧應用的擴展

線上零售業的快速擴張仍然是關鍵推動因素。不斷增長的電子商務交易量給倉庫帶來了越來越大的壓力，要求其快速準確地完成訂單。人工智慧技術能夠顯著提高營運速度，減少人為錯誤，並大幅降低成本。產業數據顯示，到2023年，56%的公司將在至少一個職能領域實施人工智慧，預計人工智慧的應用將在全球零售連鎖店中進一步擴展。

阻礙因素：高額的初始投資

機器人、感測器、人工智慧軟體和整合服務的高昂成本仍然是中小企業面臨的障礙。升級現有基礎設施以支援人工智慧部署需要大量的資本投資，這限制了小型倉庫採用先進的自動化工具。

機會：預測性維護的快速成長

人工智慧驅動的預測性維護正在創造巨大的機遇，可將停機時間減少 30-50%，延長設備壽命 17-20%，並將維護成本降低 7-10%。這些優勢可望加速全球倉庫對預測分析的採用。

關鍵趨勢：自主機器人的快速成長

重塑市場的一個關鍵趨勢是自主機器人的日益普及。根據業界研究顯示，到 2025 年，將有 400 萬台機器人安裝在 5 萬個倉庫中。這些機器人將支援精準的庫存管理、易碎品的小心處理以及快速的揀貨和包裝，從而顯著提高倉庫生產力。

區域展望

北美

北美將在 2024 年以 36.71% 的市佔率引領市場，這得益於先進的數位基礎設施和大規模的自動化投資。在美國，人工智慧的應用持續成長，尤其是在零售、物流、製造和食品行業，這主要受持續的勞動力短缺的推動。

亞太地區

預計到 2032 年，亞太地區將以最高的複合年增長率成長，這主要得益於印度、中國、越南和印尼的大規模倉庫擴張。預計到 2027 年，印度的倉庫容量將翻一番，這表明未來需求強勁。

歐洲、中東、非洲和南美洲

在歐洲，勞動力短缺問題日益嚴重，加速了人工智慧的普及應用。在中東，智慧物流中心正在大規模投資建設。在南美洲，人工智慧的應用範圍正在擴大，主要集中在巴西、阿根廷和智利。

目錄

第一章：引言

第二章：摘要整理

第三章：市場動態

  • 宏觀與微觀經濟指標
  • 推動因素、阻礙因素、機會與趨勢
  • 互惠關稅的影響

第四章：競爭格局

  • 主要參與者所採用的商業策略
  • 主要參與者的綜合SWOT分析
  • 全球人工智慧倉儲市場前3-5強企業的市場佔有率和排名（2024年）

第五章：全球人工智慧倉儲市場規模依細分領域估算與預測（2019-2032）

  • 主要發現
  • 依組件劃分
    • 硬體
    • 軟體
    • 服務
  • 依部署方式劃分
    • 本地部署
    • 雲端部署
  • 依應用程式劃分
    • 庫存管理
    • 揀貨與分類
    • 倉庫最佳化
    • 預測性維護
    • 供應鏈視覺化
  • 依行業劃分
    • 物流與運輸
    • 零售與電子商務
    • 食品飲料
    • 製造業
    • 醫療保健
    • 其他（能源與公用事業等）
  • 依地區劃分
    • 北部美洲
    • 南美洲
    • 歐洲
    • 中東和非洲
    • 亞太地區

第六章 北美人工智慧倉儲市場規模估算與預測（依細分市場劃分，2019-2032 年）

  • 依國家劃分
    • 美國
    • 加拿大
    • 墨西哥

第七章 南美洲人工智慧倉儲市場規模估算與預測（依細分市場劃分，2019-2032 年）

  • 依國家劃分
    • 巴西
    • 阿根廷
    • 其他南美國家

第八章 歐洲人工智慧倉儲市場規模估算與預測預測（細分市場，2019-2032 年）

  • 依國家/地區
    • 英國
    • 德國
    • 法國
    • 義大利
    • 西班牙
    • 俄羅斯
    • 比荷盧經濟聯盟
    • 北歐國家
    • 歐洲其他地區

第九章：中東和非洲人工智慧資料倉儲市場規模估算與預測（依細分市場，2019-2032 年）

  • 依國家/地區
    • 土耳其
    • 以色列
    • 海灣合作委員會
    • 北非
    • 南非
    • 中東和非洲其他地區

第十章：亞太地區人工智慧資料倉儲市場規模估算與預測（依細分市場劃分，2019-2032 年）

  • 依國家劃分
    • 中國
    • 印度
    • 日本
    • 韓國
    • 東協
    • 大洋洲
    • 亞太其他地區

第十一章：十大公司簡介

  • 亞馬遜網路服務公司 (Amazon Web Services, Inc.)
  • Alphabet 公司（Google 有限公司）
  • 霍尼韋爾國際公司 (Honeywell International, Inc.)
  • IBM 公司
  • 甲骨文公司 (Oracle Corporation)
  • Locus Robotics 公司
  • 斑馬技術公司 (Zebra Technologies Corporation)
  • SAP 公司
  • 西門子公司 (Siemens AG)
  • ABB 公司
Product Code: FBI113682

Growth Factors of AI in warehousing Market

The global AI in warehousing market is undergoing a strong transformation as businesses adopt advanced technologies to automate storage, movement, and inventory operations. According to the latest findings, the market was valued at USD 10.27 billion in 2024, driven by rapid digitalization across industries and the need for faster, more efficient warehouse processes. The market is projected to increase to USD 12.69 billion in 2025, supported by rising investments in robotics, predictive analytics, and AI-driven warehouse management systems. By 2032, the market is expected to reach USD 61.36 billion, reflecting strong long-term adoption of intelligent automation and AI-powered logistics systems.

AI Transforming Warehouse Operations

AI technologies have become core components of next-generation warehouse operations. In 2024, companies increasingly deployed AI-powered tools for inventory management, supply chain visibility, order picking, sorting, predictive maintenance, and routing optimization. Real-time analytics offered by AI systems enabled warehouse managers to track shipments, monitor stock levels, and evaluate performance metrics instantly, improving decision-making and operational accuracy. The ability to minimize human error and reduce manual dependency contributed significantly to the expansion of AI solutions across large and mid-sized warehouses.

Leading global vendors-including Amazon Web Services, Honeywell, IBM, Oracle, Microsoft, and Locus Robotics-strengthened their presence through collaborations with warehousing companies. These partnerships allowed tech providers to integrate AI algorithms, robotic systems, and cloud solutions into warehouse workflows, making operations more scalable and increasing overall productivity in both 2024 and 2025.

Impact of Reciprocal Tariffs

Despite strong demand, market growth faces challenges due to tariff-related disruptions. Many AI-enabled components-such as IoT sensors, robotic systems, and warehouse management software-are sourced from the U.S., China, Japan, and South Korea. Tariffs imposed under the Trump administration have the potential to raise import costs for critical components. These higher expenses particularly impact small businesses with limited capital, slowing down AI adoption and delaying investments in next-generation warehouse automation. As a result, tariff barriers remain a notable challenge for AI deployment in 2024 and 2025.

Market Dynamics

Drivers: Rising AI Adoption in Retail and E-commerce

The rapid expansion of the online retail sector continues to be a major driver. As e-commerce volumes grow, warehouses face increasing pressure to deliver fast, accurate order fulfillment. AI technologies significantly improve operational speed, reduce manual errors, and offer substantial cost savings. According to industry data, 56% of businesses had integrated AI into at least one functional area in 2023, with adoption expected to rise further across global retail chains.

Restraints: High Initial Investment

The high cost of robotics, sensors, AI software, and integration services remains a barrier for SMEs. Upgrading existing infrastructure to support AI adoption requires major capital investments, limiting the adoption of advanced automation tools among smaller warehouses.

Opportunities: Surge in Predictive Maintenance

AI-driven predictive maintenance is creating strong opportunities, reducing downtime by 30-50%, extending equipment life by 17-20%, and lowering maintenance costs by 7-10%. These benefits are expected to accelerate the adoption of predictive analytics across global warehouses.

Key Trends: Rapid Growth of Autonomous Robots

A major trend reshaping the market is the rising deployment of autonomous robots. An industry survey suggests that 4 million robots are expected to be installed across 50,000 warehouses by 2025. These robots support accurate inventory tracking, gentle handling of fragile goods, and faster picking and packing operations, significantly improving warehouse productivity.

Regional Outlook

North America

North America led the market with 36.71% share in 2024, supported by advanced digital infrastructure and large-scale automation investments. The U.S. continues to adopt AI for retail, logistics, manufacturing, and food sectors, particularly due to ongoing labor shortages.

Asia Pacific

Asia Pacific is expected to grow at the highest CAGR through 2032, driven by major warehousing expansions in India, China, Vietnam, and Indonesia. India's warehouse capacity is expected to double by 2027, highlighting strong future demand.

Europe, Middle East & Africa, South America

Europe faces labor shortages, accelerating AI adoption, while the Middle East invests heavily in smart logistics hubs. South America shows rising adoption led by Brazil, Argentina, and Chile.

Conclusion

With the market increasing from USD 10.27 billion in 2024 to USD 61.36 billion by 2032, AI in warehousing is positioned to become one of the most transformative technologies in global logistics. Innovations in robotics, predictive analytics, and cloud-based AI platforms will continue driving efficiency, visibility, and automation in warehouse operations worldwide.

Segmentation By Component

  • Hardware
  • Software
  • Services

By Deployment

  • On-premises
  • Cloud

By Application

  • Inventory Management
  • Order Picking & Sorting
  • Warehouse Optimization
  • Predictive Maintenance
  • Supply Chain Visibility

By Industry

  • Logistics & Transportation
  • Retail & E-commerce
  • Food & Beverage
  • Manufacturing
  • Healthcare
  • Others (Energy & Utilities)

By Region

  • North America (By Component, By Deployment, By Application, By Industry, and By Country)
    • U.S.
    • Canada
    • Mexico
  • South America (By Component, By Deployment, By Application, By Industry, and By Country)
    • Brazil
    • Argentina
    • Rest of South America
  • Europe (By Component, By Deployment, By Application, By Industry, and By Country)
    • U.K.
    • Germany
    • France
    • Italy
    • Spain
    • Russia
    • Benelux
    • Nordics
    • Rest of Europe
  • Middle East & Africa (By Component, By Deployment, By Application, By Industry, and By Country)
    • Turkey
    • Israel
    • GCC
    • North Africa
    • South Africa
    • Rest of Middle East & Africa
  • Asia Pacific (By Component, By Deployment, By Application, By Industry, and By Country)
    • China
    • India
    • Japan
    • South Korea
    • ASEAN
    • Oceania
    • Rest of Asia Pacific

Companies Profiled in the Report * Zoom Communications, Inc. (U.S.)

  • BigMarker (U.S.)
  • Cvent Inc. (U.S.)
  • Hubilo Technologies Inc. (U.S.)
  • Zoho Corporation Pvt. Ltd. (India)
  • Remo (U.S.)
  • vFairs (U.S.)
  • EventMobi (Canada)
  • 6Connex (U.S.)
  • Microsoft Corporation (U.S.)

Table of Content

1. Introduction

  • 1.1. Definition, By Segment
  • 1.2. Research Methodology/Approach
  • 1.3. Data Sources

2. Executive Summary

3. Market Dynamics

  • 3.1. Macro and Micro Economic Indicators
  • 3.2. Drivers, Restraints, Opportunities and Trends
  • 3.3. Impact of Reciprocal Tariff

4. Competition Landscape

  • 4.1. Business Strategies Adopted by Key Players
  • 4.2. Consolidated SWOT Analysis of Key Players
  • 4.3. Global AI in Warehousing Key Players (Top 3 - 5) Market Share/Ranking, 2024

5. Global AI in Warehousing Market Size Estimates and Forecasts, By Segments, 2019-2032

  • 5.1. Key Findings
  • 5.2. By Component (USD)
    • 5.2.1. Hardware
    • 5.2.2. Software
    • 5.2.3. Services
  • 5.3. By Deployment (USD)
    • 5.3.1. On-premises
    • 5.3.2. Cloud
  • 5.4. By Application (USD)
    • 5.4.1. Inventory Management
    • 5.4.2. Order Picking & Sorting
    • 5.4.3. Warehouse Optimization
    • 5.4.4. Predictive Maintenance
    • 5.4.5. Supply Chain Visibility
  • 5.5. By Industry (USD)
    • 5.5.1. Logistics & Transportation
    • 5.5.2. Retail & E-commerce
    • 5.5.3. Food & Beverage
    • 5.5.4. Manufacturing
    • 5.5.5. Healthcare
    • 5.5.6. Others (Energy & Utilities, etc.)
  • 5.6. By Region (USD)
    • 5.6.1. North America
    • 5.6.2. South America
    • 5.6.3. Europe
    • 5.6.4. Middle East & Africa
    • 5.6.5. Asia Pacific

6. North America AI in Warehousing Market Size Estimates and Forecasts, By Segments, 2019-2032

  • 6.1. Key Findings
  • 6.2. By Component (USD)
    • 6.2.1. Hardware
    • 6.2.2. Software
    • 6.2.3. Services
  • 6.3. By Deployment (USD)
    • 6.3.1. On-premises
    • 6.3.2. Cloud
  • 6.4. By Application (USD)
    • 6.4.1. Inventory Management
    • 6.4.2. Order Picking & Sorting
    • 6.4.3. Warehouse Optimization
    • 6.4.4. Predictive Maintenance
    • 6.4.5. Supply Chain Visibility
  • 6.5. By Industry (USD)
    • 6.5.1. Logistics & Transportation
    • 6.5.2. Retail & E-commerce
    • 6.5.3. Food & Beverage
    • 6.5.4. Manufacturing
    • 6.5.5. Healthcare
    • 6.5.6. Others (Energy & Utilities, etc.)
  • 6.6. By Country (USD)
    • 6.6.1. United States
    • 6.6.2. Canada
    • 6.6.3. Mexico

7. South America AI in Warehousing Market Size Estimates and Forecasts, By Segments, 2019-2032

  • 7.1. Key Findings
  • 7.2. By Component (USD)
    • 7.2.1. Hardware
    • 7.2.2. Software
    • 7.2.3. Services
  • 7.3. By Deployment (USD)
    • 7.3.1. On-premises
    • 7.3.2. Cloud
  • 7.4. By Application (USD)
    • 7.4.1. Inventory Management
    • 7.4.2. Order Picking & Sorting
    • 7.4.3. Warehouse Optimization
    • 7.4.4. Predictive Maintenance
    • 7.4.5. Supply Chain Visibility
  • 7.5. By Industry (USD)
    • 7.5.1. Logistics & Transportation
    • 7.5.2. Retail & E-commerce
    • 7.5.3. Food & Beverage
    • 7.5.4. Manufacturing
    • 7.5.5. Healthcare
    • 7.5.6. Others (Energy & Utilities, etc.)
  • 7.6. By Country (USD)
    • 7.6.1. Brazil
    • 7.6.2. Argentina
    • 7.6.3. Rest of South America

8. Europe AI in Warehousing Market Size Estimates and Forecasts, By Segments, 2019-2032

  • 8.1. Key Findings
  • 8.2. By Component (USD)
    • 8.2.1. Hardware
    • 8.2.2. Software
    • 8.2.3. Services
  • 8.3. By Deployment (USD)
    • 8.3.1. On-premises
    • 8.3.2. Cloud
  • 8.4. By Application (USD)
    • 8.4.1. Inventory Management
    • 8.4.2. Order Picking & Sorting
    • 8.4.3. Warehouse Optimization
    • 8.4.4. Predictive Maintenance
    • 8.4.5. Supply Chain Visibility
  • 8.5. By Industry (USD)
    • 8.5.1. Logistics & Transportation
    • 8.5.2. Retail & E-commerce
    • 8.5.3. Food & Beverage
    • 8.5.4. Manufacturing
    • 8.5.5. Healthcare
    • 8.5.6. Others (Energy & Utilities, etc.)
  • 8.6. By Country (USD)
    • 8.6.1. United Kingdom
    • 8.6.2. Germany
    • 8.6.3. France
    • 8.6.4. Italy
    • 8.6.5. Spain
    • 8.6.6. Russia
    • 8.6.7. Benelux
    • 8.6.8. Nordics
    • 8.6.9. Rest of Europe

9. Middle East & Africa AI in Warehousing Market Size Estimates and Forecasts, By Segments, 2019-2032

  • 9.1. Key Findings
  • 9.2. By Component (USD)
    • 9.2.1. Hardware
    • 9.2.2. Software
    • 9.2.3. Services
  • 9.3. By Deployment (USD)
    • 9.3.1. On-premises
    • 9.3.2. Cloud
  • 9.4. By Application (USD)
    • 9.4.1. Inventory Management
    • 9.4.2. Order Picking & Sorting
    • 9.4.3. Warehouse Optimization
    • 9.4.4. Predictive Maintenance
    • 9.4.5. Supply Chain Visibility
  • 9.5. By Industry (USD)
    • 9.5.1. Logistics & Transportation
    • 9.5.2. Retail & E-commerce
    • 9.5.3. Food & Beverage
    • 9.5.4. Manufacturing
    • 9.5.5. Healthcare
    • 9.5.6. Others (Energy & Utilities, etc.)
  • 9.6. By Country (USD)
    • 9.6.1. Turkey
    • 9.6.2. Israel
    • 9.6.3. GCC
    • 9.6.4. North Africa
    • 9.6.5. South Africa
    • 9.6.6. Rest of MEA

10. Asia Pacific AI in Warehousing Market Size Estimates and Forecasts, By Segments, 2019-2032

  • 10.1. Key Findings
  • 10.2. By Component (USD)
    • 10.2.1. Hardware
    • 10.2.2. Software
    • 10.2.3. Services
  • 10.3. By Deployment (USD)
    • 10.3.1. On-premises
    • 10.3.2. Cloud
  • 10.4. By Application (USD)
    • 10.4.1. Inventory Management
    • 10.4.2. Order Picking & Sorting
    • 10.4.3. Warehouse Optimization
    • 10.4.4. Predictive Maintenance
    • 10.4.5. Supply Chain Visibility
  • 10.5. By Industry (USD)
    • 10.5.1. Logistics & Transportation
    • 10.5.2. Retail & E-commerce
    • 10.5.3. Food & Beverage
    • 10.5.4. Manufacturing
    • 10.5.5. Healthcare
    • 10.5.6. Others (Energy & Utilities, etc.)
  • 10.6. By Country (USD)
    • 10.6.1. China
    • 10.6.2. India
    • 10.6.3. Japan
    • 10.6.4. South Korea
    • 10.6.5. ASEAN
    • 10.6.6. Oceania
    • 10.6.7. Rest of Asia Pacific

11. Company Profiles for Top 10 Players (Based on data availability in public domain and/or on paid databases)

  • 11.1.
    • 11.1.1. Amazon Web Services, Inc.
      • 11.1.1.1. Overview
        • 11.1.1.1.1. Key Management
        • 11.1.1.1.2. Headquarters
        • 11.1.1.1.3. Offerings/Business Segments
      • 11.1.1.2. Key Details (Key details are consolidated data and not product/service specific)
        • 11.1.1.2.1. Employee Size
        • 11.1.1.2.2. Past and Current Revenue
        • 11.1.1.2.3. Geographical Share
        • 11.1.1.2.4. Business Segment Share
        • 11.1.1.2.5. Recent Developments
    • 11.1.2. Alphabet Inc. (Google LLC)
      • 11.1.2.1. Overview
        • 11.1.2.1.1. Key Management
        • 11.1.2.1.2. Headquarters
        • 11.1.2.1.3. Offerings/Business Segments
      • 11.1.2.2. Key Details (Key details are consolidated data and not product/service specific)
        • 11.1.2.2.1. Employee Size
        • 11.1.2.2.2. Past and Current Revenue
        • 11.1.2.2.3. Geographical Share
        • 11.1.2.2.4. Business Segment Share
        • 11.1.2.2.5. Recent Developments
    • 11.1.3. Honeywell International, Inc.
      • 11.1.3.1. Overview
        • 11.1.3.1.1. Key Management
        • 11.1.3.1.2. Headquarters
        • 11.1.3.1.3. Offerings/Business Segments
      • 11.1.3.2. Key Details (Key details are consolidated data and not product/service specific)
        • 11.1.3.2.1. Employee Size
        • 11.1.3.2.2. Past and Current Revenue
        • 11.1.3.2.3. Geographical Share
        • 11.1.3.2.4. Business Segment Share
        • 11.1.3.2.5. Recent Developments
    • 11.1.4. IBM Corporation
      • 11.1.4.1. Overview
        • 11.1.4.1.1. Key Management
        • 11.1.4.1.2. Headquarters
        • 11.1.4.1.3. Offerings/Business Segments
      • 11.1.4.2. Key Details (Key details are consolidated data and not product/service specific)
        • 11.1.4.2.1. Employee Size
        • 11.1.4.2.2. Past and Current Revenue
        • 11.1.4.2.3. Geographical Share
        • 11.1.4.2.4. Business Segment Share
        • 11.1.4.2.5. Recent Developments
    • 11.1.5. Oracle Corporation
      • 11.1.5.1. Overview
        • 11.1.5.1.1. Key Management
        • 11.1.5.1.2. Headquarters
        • 11.1.5.1.3. Offerings/Business Segments
      • 11.1.5.2. Key Details (Key details are consolidated data and not product/service specific)
        • 11.1.5.2.1. Employee Size
        • 11.1.5.2.2. Past and Current Revenue
        • 11.1.5.2.3. Geographical Share
        • 11.1.5.2.4. Business Segment Share
        • 11.1.5.2.5. Recent Developments
    • 11.1.6. Locus Robotics
      • 11.1.6.1. Overview
        • 11.1.6.1.1. Key Management
        • 11.1.6.1.2. Headquarters
        • 11.1.6.1.3. Offerings/Business Segments
      • 11.1.6.2. Key Details (Key details are consolidated data and not product/service specific)
        • 11.1.6.2.1. Employee Size
        • 11.1.6.2.2. Past and Current Revenue
        • 11.1.6.2.3. Geographical Share
        • 11.1.6.2.4. Business Segment Share
        • 11.1.6.2.5. Recent Developments
    • 11.1.7. Zebra Technologies Corporation
      • 11.1.7.1. Overview
        • 11.1.7.1.1. Key Management
        • 11.1.7.1.2. Headquarters
        • 11.1.7.1.3. Offerings/Business Segments
      • 11.1.7.2. Key Details (Key details are consolidated data and not product/service specific)
        • 11.1.7.2.1. Employee Size
        • 11.1.7.2.2. Past and Current Revenue
        • 11.1.7.2.3. Geographical Share
        • 11.1.7.2.4. Business Segment Share
        • 11.1.7.2.5. Recent Developments
    • 11.1.8. SAP SE
      • 11.1.8.1. Overview
        • 11.1.8.1.1. Key Management
        • 11.1.8.1.2. Headquarters
        • 11.1.8.1.3. Offerings/Business Segments
      • 11.1.8.2. Key Details (Key details are consolidated data and not product/service specific)
        • 11.1.8.2.1. Employee Size
        • 11.1.8.2.2. Past and Current Revenue
        • 11.1.8.2.3. Geographical Share
        • 11.1.8.2.4. Business Segment Share
        • 11.1.8.2.5. Recent Developments
    • 11.1.9. Siemens AG
      • 11.1.9.1. Overview
        • 11.1.9.1.1. Key Management
        • 11.1.9.1.2. Headquarters
        • 11.1.9.1.3. Offerings/Business Segments
      • 11.1.9.2. Key Details (Key details are consolidated data and not product/service specific)
        • 11.1.9.2.1. Employee Size
        • 11.1.9.2.2. Past and Current Revenue
        • 11.1.9.2.3. Geographical Share
        • 11.1.9.2.4. Business Segment Share
        • 11.1.9.2.5. Recent Developments
    • 11.1.10. ABB Ltd.
      • 11.1.10.1. Overview
        • 11.1.10.1.1. Key Management
        • 11.1.10.1.2. Headquarters
        • 11.1.10.1.3. Offerings/Business Segments
      • 11.1.10.2. Key Details (Key details are consolidated data and not product/service specific)
        • 11.1.10.2.1. Employee Size
        • 11.1.10.2.2. Past and Current Revenue
        • 11.1.10.2.3. Geographical Share
        • 11.1.10.2.4. Business Segment Share
        • 11.1.10.2.5. Recent Developments
  • 11.2. Key Takeaways

List of Tables

  • Table 1: Global AI in Warehousing Market Size Estimates and Forecasts, 2019 - 2032
  • Table 2: Global AI in Warehousing Market Size Estimates and Forecasts, By Component, 2019 - 2032
  • Table 3: Global AI in Warehousing Market Size Estimates and Forecasts, By Deployment, 2019 - 2032
  • Table 4: Global AI in Warehousing Market Size Estimates and Forecasts, By Application, 2019 - 2032
  • Table 5: Global AI in Warehousing Market Size Estimates and Forecasts, By Industry, 2019 - 2032
  • Table 6: Global AI in Warehousing Market Size Estimates and Forecasts, By Region, 2019 - 2032
  • Table 7: North America AI in Warehousing Market Size Estimates and Forecasts, 2019 - 2032
  • Table 8: North America AI in Warehousing Market Size Estimates and Forecasts, By Component, 2019 - 2032
  • Table 9: North America AI in Warehousing Market Size Estimates and Forecasts, By Deployment, 2019 - 2032
  • Table 10: North America AI in Warehousing Market Size Estimates and Forecasts, By Application, 2019 - 2032
  • Table 11: North America AI in Warehousing Market Size Estimates and Forecasts, By Industry, 2019 - 2032
  • Table 12: North America AI in Warehousing Market Size Estimates and Forecasts, By Country, 2019 - 2032
  • Table 13: South America AI in Warehousing Market Size Estimates and Forecasts, 2019 - 2032
  • Table 14: South America AI in Warehousing Market Size Estimates and Forecasts, By Component, 2019 - 2032
  • Table 15: South America AI in Warehousing Market Size Estimates and Forecasts, By Deployment, 2019 - 2032
  • Table 16: South America AI in Warehousing Market Size Estimates and Forecasts, By Application, 2019 - 2032
  • Table 17: South America AI in Warehousing Market Size Estimates and Forecasts, By Industry, 2019 - 2032
  • Table 18: South America AI in Warehousing Market Size Estimates and Forecasts, By Country, 2019 - 2032
  • Table 19: Europe AI in Warehousing Market Size Estimates and Forecasts, 2019 - 2032
  • Table 20: Europe AI in Warehousing Market Size Estimates and Forecasts, By Component, 2019 - 2032
  • Table 21: Europe AI in Warehousing Market Size Estimates and Forecasts, By Deployment, 2019 - 2032
  • Table 22: Europe AI in Warehousing Market Size Estimates and Forecasts, By Application, 2019 - 2032
  • Table 23: Europe AI in Warehousing Market Size Estimates and Forecasts, By Industry, 2019 - 2032
  • Table 24: Europe AI in Warehousing Market Size Estimates and Forecasts, By Country, 2019 - 2032
  • Table 25: Middle East & Africa AI in Warehousing Market Size Estimates and Forecasts, 2019 - 2032
  • Table 26: Middle East & Africa AI in Warehousing Market Size Estimates and Forecasts, By Component, 2019 - 2032
  • Table 27: Middle East & Africa AI in Warehousing Market Size Estimates and Forecasts, By Deployment, 2019 - 2032
  • Table 28: Middle East & Africa AI in Warehousing Market Size Estimates and Forecasts, By Application, 2019 - 2032
  • Table 29: Middle East & Africa AI in Warehousing Market Size Estimates and Forecasts, By Industry, 2019 - 2032
  • Table 30: Middle East & Africa AI in Warehousing Market Size Estimates and Forecasts, By Country, 2019 - 2032
  • Table 31: Asia Pacific AI in Warehousing Market Size Estimates and Forecasts, 2019 - 2032
  • Table 32: Asia Pacific AI in Warehousing Market Size Estimates and Forecasts, By Component, 2019 - 2032
  • Table 33: Asia Pacific AI in Warehousing Market Size Estimates and Forecasts, By Deployment, 2019 - 2032
  • Table 34: Asia Pacific AI in Warehousing Market Size Estimates and Forecasts, By Application, 2019 - 2032
  • Table 35: Asia Pacific AI in Warehousing Market Size Estimates and Forecasts, By Industry, 2019 - 2032
  • Table 36: Asia Pacific AI in Warehousing Market Size Estimates and Forecasts, By Country, 2019 - 2032

List of Figures

  • Figure 1: Global AI in Warehousing Market Revenue Share (%), 2024 and 2032
  • Figure 2: Global AI in Warehousing Market Revenue Share (%), By Component, 2024 and 2032
  • Figure 3: Global AI in Warehousing Market Revenue Share (%), By Deployment, 2024 and 2032
  • Figure 4: Global AI in Warehousing Market Revenue Share (%), By Application, 2024 and 2032
  • Figure 5: Global AI in Warehousing Market Revenue Share (%), By Industry, 2024 and 2032
  • Figure 6: Global AI in Warehousing Market Revenue Share (%), By Region, 2024 and 2032
  • Figure 7: North America AI in Warehousing Market Revenue Share (%), 2024 and 2032
  • Figure 8: North America AI in Warehousing Market Revenue Share (%), By Component, 2024 and 2032
  • Figure 9: North America AI in Warehousing Market Revenue Share (%), By Deployment, 2024 and 2032
  • Figure 10: North America AI in Warehousing Market Revenue Share (%), By Application, 2024 and 2032
  • Figure 11: North America AI in Warehousing Market Revenue Share (%), By Industry, 2024 and 2032
  • Figure 12: North America AI in Warehousing Market Revenue Share (%), By Country, 2024 and 2032
  • Figure 13: South America AI in Warehousing Market Revenue Share (%), 2024 and 2032
  • Figure 14: South America AI in Warehousing Market Revenue Share (%), By Component, 2024 and 2032
  • Figure 15: South America AI in Warehousing Market Revenue Share (%), By Deployment, 2024 and 2032
  • Figure 16: South America AI in Warehousing Market Revenue Share (%), By Application, 2024 and 2032
  • Figure 17: South America AI in Warehousing Market Revenue Share (%), By Industry, 2024 and 2032
  • Figure 18: South America AI in Warehousing Market Revenue Share (%), By Country, 2024 and 2032
  • Figure 19: Europe AI in Warehousing Market Revenue Share (%), 2024 and 2032
  • Figure 20: Europe AI in Warehousing Market Revenue Share (%), By Component, 2024 and 2032
  • Figure 21: Europe AI in Warehousing Market Revenue Share (%), By Deployment, 2024 and 2032
  • Figure 22: Europe AI in Warehousing Market Revenue Share (%), By Application, 2024 and 2032
  • Figure 23: Europe AI in Warehousing Market Revenue Share (%), By Industry, 2024 and 2032
  • Figure 24: Europe AI in Warehousing Market Revenue Share (%), By Country, 2024 and 2032
  • Figure 25: Middle East & Africa AI in Warehousing Market Revenue Share (%), 2024 and 2032
  • Figure 26: Middle East & Africa AI in Warehousing Market Revenue Share (%), By Component, 2024 and 2032
  • Figure 27: Middle East & Africa AI in Warehousing Market Revenue Share (%), By Deployment, 2024 and 2032
  • Figure 28: Middle East & Africa AI in Warehousing Market Revenue Share (%), By Application, 2024 and 2032
  • Figure 29: Middle East & Africa AI in Warehousing Market Revenue Share (%), By Industry, 2024 and 2032
  • Figure 30: Middle East & Africa AI in Warehousing Market Revenue Share (%), By Country, 2024 and 2032
  • Figure 31: Asia Pacific AI in Warehousing Market Revenue Share (%), 2024 and 2032
  • Figure 32: Asia Pacific AI in Warehousing Market Revenue Share (%), By Component, 2024 and 2032
  • Figure 33: Asia Pacific AI in Warehousing Market Revenue Share (%), By Deployment, 2024 and 2032
  • Figure 34: Asia Pacific AI in Warehousing Market Revenue Share (%), By Application, 2024 and 2032
  • Figure 35: Asia Pacific AI in Warehousing Market Revenue Share (%), By Industry, 2024 and 2032
  • Figure 36: Asia Pacific AI in Warehousing Market Revenue Share (%), By Country, 2024 and 2032
  • Figure 37: Global AI in Warehousing Key Players' Market Share/Ranking (%), 2024