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仓储人工智慧市场规模、占有率、成长及全球产业分析：依类型、应用和地区划分的洞察与预测（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: 请询问到货日

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仓储人工智慧市场成长推动因素

随着企业采用先进技术实现仓储、运输和库存管理作业的自动化，全球仓储人工智慧 (AI) 市场正经历重大变革。最新研究显示，受各行业快速数位化以及对更快、更有效率的仓储流程的需求驱动，该市场在 2024 年的估值将达到 102.7 亿美元。预计到 2025 年，在机器人、预测分析和人工智慧驱动的仓储管理系统投资增加的推动下，该市场将成长至 126.9 亿美元。预计到 2032 年，该市场将达到 613.6 亿美元，反映了智慧自动化和人工智慧物流系统的长期应用。

人工智慧变革仓储营运

人工智慧技术已成为下一代仓储营运的核心要素。 2024年，企业迅速采用人工智慧工具进行库存管理、供应链视觉化、拣货、分类、预测性维护和路线最佳化。人工智慧系统提供的即时分析功能使仓库管理人员能够即时追踪发货状态、监控库存水准并评估绩效指标，从而提高决策效率和营运准确性。人工智慧解决方案能够最大限度地减少人为错误并降低对人工的依赖，这极大地促进了人工智慧解决方案在大中型仓库中的应用。

亚马逊网路服务 (AWS)、霍尼韦尔、IBM、甲骨文、微软和 Locus Robotics 等全球主要供应商已透过与仓库营运商的合作，加强了自身在仓储领域的影响力。这些合作关係使技术供应商能够将人工智慧演算法、机器人系统和云端解决方案整合到仓库工作流程中，从而增强营运可扩展性，并在 2024 年和 2025 年提高整体生产力。

互惠关税的影响

儘管需求强劲，但由于关税相关的干扰，市场成长面临挑战。许多人工智慧元件，例如物联网感测器、机器人系统和仓库管理软体，都来自美国、中国、日本和韩国。川普政府征收的关税可能会增加关键组件的进口成本。这些成本的增加尤其会影响资金有限的中小型企业，从而延缓人工智慧的采用和对下一代仓库自动化的投资。因此，关税壁垒预计仍将是2024年和2025年人工智慧应用面临的主要挑战。

市场动态

推动因素：零售与电子商务领域人工智慧应用的扩展

线上零售业的快速扩张仍然是关键推动因素。不断增长的电子商务交易量给仓库带来了越来越大的压力，要求其快速准确地完成订单。人工智慧技术能够显着提高营运速度，减少人为错误，并大幅降低成本。产业数据显示，到2023年，56%的公司将在至少一个职能领域实施人工智慧，预计人工智慧的应用将在全球零售连锁店中进一步扩展。

阻碍因素：高额的初始投资

机器人、感测器、人工智慧软体和整合服务的高昂成本仍然是中小企业面临的障碍。升级现有基础设施以支援人工智慧部署需要大量的资本投资，这限制了小型仓库采用先进的自动化工具。

机会：预测性维护的快速成长

人工智慧驱动的预测性维护正在创造巨大的机遇，可将停机时间减少 30-50%，延长设备寿命 17-20%，并将维护成本降低 7-10%。这些优势可望加速全球仓库对预测分析的采用。

关键趋势：自主机器人的快速成长

重塑市场的一个关键趋势是自主机器人的日益普及。根据业界研究显示，到 2025 年，将有 400 万台机器人安装在 5 万个仓库中。这些机器人将支援精准的库存管理、易碎品的小心处理以及快速的拣货和包装，从而显着提高仓库生产力。

区域展望

北美

北美将在 2024 年以 36.71% 的市占率引领市场，这得益于先进的数位基础设施和大规模的自动化投资。在美国，人工智慧的应用持续成长，尤其是在零售、物流、製造和食品行业，这主要受持续的劳动力短缺的推动。

亚太地区

预计到 2032 年，亚太地区将以最高的复合年增长率成长，这主要得益于印度、中国、越南和印尼的大规模仓库扩张。预计到 2027 年，印度的仓库容量将翻一番，这表明未来需求强劲。

欧洲、中东、非洲和南美洲

在欧洲，劳动力短缺问题日益严重，加速了人工智慧的普及应用。在中东，智慧物流中心正在大规模投资建设。在南美洲，人工智慧的应用范围正在扩大，主要集中在巴西、阿根廷和智利。

目录

第一章：引言

第二章：摘要整理

第三章：市场动态

  • 宏观与微观经济指标
  • 推动因素、阻碍因素、机会与趋势
  • 互惠关税的影响

第四章：竞争格局

  • 主要参与者所采用的商业策略
  • 主要参与者的综合SWOT分析
  • 全球人工智慧仓储市场前3-5强企业的市场占有率和排名（2024年）

第五章：全球人工智慧仓储市场规模依细分领域估算与预测（2019-2032）

  • 主要发现
  • 依组件划分
    • 硬体
    • 软体
    • 服务
  • 依部署方式划分
    • 本地部署
    • 云端部署
  • 依应用程式划分
    • 库存管理
    • 拣货与分类
    • 仓库最佳化
    • 预测性维护
    • 供应链视觉化
  • 依行业划分
    • 物流与运输
    • 零售与电子商务
    • 食品饮料
    • 製造业
    • 医疗保健
    • 其他（能源与公用事业等）
  • 依地区划分
    • 北部美洲
    • 南美洲
    • 欧洲
    • 中东和非洲
    • 亚太地区

第六章 北美人工智慧仓储市场规模估算与预测（依细分市场划分，2019-2032 年）

  • 依国家划分
    • 美国
    • 加拿大
    • 墨西哥

第七章 南美洲人工智慧仓储市场规模估算与预测（依细分市场划分，2019-2032 年）

  • 依国家划分
    • 巴西
    • 阿根廷
    • 其他南美国家

第八章 欧洲人工智慧仓储市场规模估算与预测预测（细分市场，2019-2032 年）

  • 依国家/地区
    • 英国
    • 德国
    • 法国
    • 义大利
    • 西班牙
    • 俄罗斯
    • 比荷卢经济联盟
    • 北欧国家
    • 欧洲其他地区

第九章：中东和非洲人工智慧资料仓储市场规模估算与预测（依细分市场，2019-2032 年）

  • 依国家/地区
    • 土耳其
    • 以色列
    • 海湾合作委员会
    • 北非
    • 南非
    • 中东和非洲其他地区

第十章：亚太地区人工智慧资料仓储市场规模估算与预测（依细分市场划分，2019-2032 年）

  • 依国家划分
    • 中国
    • 印度
    • 日本
    • 韩国
    • 东协
    • 大洋洲
    • 亚太其他地区

第十一章：十大公司简介

  • 亚马逊网路服务公司 (Amazon Web Services, Inc.)
  • Alphabet 公司（Google 有限公司）
  • 霍尼韦尔国际公司 (Honeywell International, Inc.)
  • IBM 公司
  • 甲骨文公司 (Oracle Corporation)
  • Locus Robotics 公司
  • 斑马技术公司 (Zebra Technologies Corporation)
  • SAP 公司
  • 西门子公司 (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