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市场调查报告书

商品编码

1570626

仓储市场人工智慧、机会、成长动力、产业趋势分析与预测，2024-2032

AI in Warehousing Market, Opportunity, Growth Drivers, Industry Trend Analysis and Forecast, 2024-2032

出版日期: 2024年08月05日 | 出版商:

Global Market Insights Inc. | 英文 252 Pages | 商品交期: 2-3个工作天内

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简介目录

2023 年，全球仓储人工智慧市场估值为83 亿美元，预测显示出强劲的成长轨迹，预计2024 年至2032 年复合年增长率将超过26.8%。不断升级而推动的。随着企业努力应对不断增长的需求和不断变化的客户期望，企业正在齐心协力简化流程并削减成本。

技术进步正在重塑人工智慧在仓储领域的格局，特别是随着人工智慧驱动的机器人技术的激增。如今的机器人擅长执行拣货、包装和运输货物等复杂的任务，显着提高了精度和效率。这些进步使仓库能够自动执行重复性任务，减少对体力劳动的依赖并减少错误。此外，协作机器人（cobots）的兴起引入了操作灵活性的新维度，使它们能够与人类同行安全地一起工作。

仓储产业的人工智慧分为组件、应用、部署模式、组织规模、最终用户产业和地区。

市场依组件分为硬体、软体和服务。 2023年，硬体占据主导地位，份额超过47%。预测显示，到 2032 年，该领域的价值将超过 315 亿美元，凸显了其在人工智慧驱动解决方案部署中的关键作用。包括机器人、感测器、摄影机和自动导引车 (AGV) 在内的硬体组件对于自动化任务（例如拣选、分类和运输货物）是不可或缺的。此类先进系统需要对高科技设备进行大量投资，通常占总支出的很大一部分。

仓储市场中的人工智慧依部署模式分为云端解决方案和本地解决方案。 2023 年，云端细分市场占据约 63% 的主导份额。这种偏好可以归因于可扩展性、即时存取和无缝整合等优势。云端解决方案让企业可以根据需求扩展资源，避免大量的前期基础设施投资。这种灵活性对于容量可变的仓库尤其有利。

2023年，北美占据人工智慧仓储市场份额的43%以上。预测表明，到2032 年，这一份额将推动市场价值超过302 亿美元。归功于先进的物流基础设施和巨额投资在自动化领域，美国表现优异。此外，蓬勃发展的电子商务格局和对高效供应链管理的迫切需求将进一步放大对人工智慧解决方案的需求。

产业生态系统分析
供应商格局
- 技术提供者
- 软体和平台开发商
- 机器人製造商
- 系统整合商
- 顾问公司
利润率分析
技术与创新格局
专利分析
重要新闻和倡议
监管环境
衝击力
- 成长动力
  - 对仓储营运效率和自动化的需求不断增加
  - 网上购物和电子商务热潮激增
  - 机器人技术的进步
  - 降低成本并提高效率
- 产业陷阱与挑战
  - 实施人工智慧解决方案的初始投资较高
  - 人工智慧系统的数据品质和可用性
成长潜力分析
波特的分析
PESTEL分析

第 4 章：竞争格局

介绍
公司市占率分析
竞争定位矩阵
战略展望矩阵

第 5 章：市场估计与预测：按组成部分，2021 - 2032 年

主要趋势
硬体
- 人工智慧驱动的机器人
- 感应器
- 相机
- 其他的
软体
- 人工智慧演算法
- 数据分析软体
- 其他的
服务
- 专业的
  - 执行
  - 维护
  - 支援
- 託管

第 6 章：市场估计与预测：按应用分类，2021 - 2032

主要趋势
库存管理
订单拣选和分拣
仓库优化
预测性维护
供应链可视性

第 7 章：市场估计与预测：按部署模式，2021 - 2032 年

主要趋势
云
本地

第 8 章：市场估计与预测：按组织规模，2021 - 2032

主要趋势
中小企业（SME）
大型企业

第 9 章：市场估计与预测：按最终用户产业，2021 - 2032 年

主要趋势
零售与电子商务
物流运输
製造业
卫生保健
食品和饮料
其他的

第 10 章：市场估计与预测：按地区，2021 - 2032

主要趋势
北美洲
- 我们
- 加拿大
欧洲
- 英国
- 德国
- 法国
- 西班牙
- 义大利
- 俄罗斯
- 北欧人
- 欧洲其他地区
亚太地区
- 中国
- 印度
- 日本
- 韩国
- 澳新银行
- 东南亚
- 亚太地区其他地区
拉丁美洲
- 巴西
- 墨西哥
- 阿根廷
- 拉丁美洲其他地区
MEA
- 阿联酋
- 南非
- 沙乌地阿拉伯
- MEA 的其余部分

第 11 章：公司简介

ABB
Amazon Web Services (AWS)
Dematic
Fetch Robotics
Geek+
Google
GreyOrange
Honeywell International
IBM
Knapp AG
Korber Logistics
Locus Robotics
Manhattan Associates
Microsoft
Oracle
SAP
Siemens
Swisslog
Vecna Robotics
Zebra Technologies

简介目录

Product Code: 10653

The Global AI in Warehousing Market was valued at USD 8.3 billion in 2023, and projections indicate a robust growth trajectory, with an anticipated CAGR of over 26.8% from 2024 to 2032. This surge is primarily fueled by the escalating demand for efficiency and automation in warehouse operations. As businesses grapple with heightened demand and evolving customer expectations, there is a concerted push to streamline processes and curtail costs.

Technological advancements are reshaping the landscape of AI in warehousing, notably with the surge in AI-driven robotics. Today's robots are adept at intricate tasks like picking, packing, and transporting goods, significantly boosting precision and efficiency. Such advancements empower warehouses to automate repetitive tasks, diminishing dependence on manual labor and curtailing errors. Moreover, the rise of collaborative robots (cobots) introduces a new dimension of operational flexibility, allowing them to work safely alongside human counterparts.

The AI in warehousing industry is segmented into component, application, deployment mode, organization size, end-user industry, and region.

The market is categorized by component into hardware, software, and services. In 2023, hardware dominated with a share exceeding 47%. Forecasts suggest this segment will surpass USD 31.5 billion by 2032, underscoring its pivotal role in the deployment of AI-driven solutions. Hardware components, encompassing robotics, sensors, cameras, and automated guided vehicles (AGVs), are indispensable for automating tasks like picking, sorting, and transporting goods. Such advanced systems necessitate substantial investments in high-tech equipment, often constituting a significant chunk of the overall expenditure.

The AI in warehousing market is segmented by deployment mode into cloud and on-premises solutions. In 2023, the cloud segment commanded a dominant share of approximately 63%. This preference can be attributed to advantages like scalability, real-time access, and seamless integration. Cloud solutions allow businesses to scale resources in line with demand, sidestepping hefty upfront infrastructure investments. This flexibility is especially beneficial for warehouses that experience variable volumes.

In 2023, North America captured over 43% of the AI in warehousing market share. Projections indicate this share will push the market value beyond USD 30.2 billion by 2032. The region's dominance is largely due to its early adoption of technology and the robust presence of major industry players, particularly in the U.S. Bolstered by an advanced logistics infrastructure and hefty investments in automation, the U.S. stands out. Additionally, the surging e-commerce landscape and the pressing need for efficient supply chain management will further amplify the demand for AI solutions.

Chapter 1 Methodology and Scope

1.1 Research design
- 1.1.1 Research approach
- 1.1.2 Data collection methods
1.2 Base estimates and calculations
- 1.2.1 Base year calculation
- 1.2.2 Key trends for market estimates
1.3 Forecast model
1.4 Primary research and validation
- 1.4.1 Primary sources
- 1.4.2 Data mining sources
1.5 Market definitions

Chapter 2 Executive Summary

2.1 Industry 360° synopsis, 2021 - 2032

Chapter 3 Industry Insights

3.1 Industry ecosystem analysis
3.2 Supplier landscape
- 3.2.1 Technology providers
- 3.2.2 Software and platform developers
- 3.2.3 Robotics manufacturers
- 3.2.4 System integrators
- 3.2.5 Consultancy firms
3.3 Profit margin analysis
3.4 Technology and innovation landscape
3.5 Patent analysis
3.6 Key news and initiatives
3.7 Regulatory landscape
3.8 Impact forces
- 3.8.1 Growth drivers
  - 3.8.1.1 Increased need for efficiency and automation in warehousing operations
  - 3.8.1.2 Surge in online shopping and E-commerce boom
  - 3.8.1.3 Advancements in robotics technology
  - 3.8.1.4 Cost reduction and efficiency
- 3.8.2 Industry pitfalls and challenges
  - 3.8.2.1 High initial investment implementing AI solutions
  - 3.8.2.2 Data quality and availability of AI systems
3.9 Growth potential analysis
3.10 Porter's analysis
3.11 PESTEL analysis

Chapter 4 Competitive Landscape, 2023

4.1 Introduction
4.2 Company market share analysis
4.3 Competitive positioning matrix
4.4 Strategic outlook matrix

Chapter 5 Market Estimates and Forecast, By Component, 2021 - 2032 ($Bn)

5.1 Key trends
5.2 Hardware
- 5.2.1 AI-powered robots
- 5.2.2 Sensors
- 5.2.3 Cameras
- 5.2.4 Others
5.3 Software
- 5.3.1 AI algorithms
- 5.3.2 Data analytics software
- 5.3.3 Others
5.4 Services
- 5.4.1 Professional
  - 5.4.1.1 Implementation
  - 5.4.1.2 Maintenance
  - 5.4.1.3 Support
- 5.4.2 Managed

Chapter 6 Market Estimates and Forecast, By Application, 2021 - 2032 ($Bn)

6.1 Key trends
6.2 Inventory management
6.3 Order picking and sorting
6.4 Warehouse optimization
6.5 Predictive maintenance
6.6 Supply chain visibility

Chapter 7 Market Estimates and Forecast, By Deployment Mode, 2021 - 2032 ($Bn)

7.1 Key trends
7.2 Cloud
7.3 On-premises

Chapter 8 Market Estimates and Forecast, By Organization Size, 2021 - 2032 ($Bn)

8.1 Key trends
8.2 Small and medium-sized enterprises (SME)
8.3 Large enterprises

Chapter 9 Market Estimates and Forecast, By End-User Industry, 2021 - 2032 ($Bn)

9.1 Key trends
9.2 Retail and e-commerce
9.3 Logistics and transportation
9.4 Manufacturing
9.5 Healthcare
9.6 Food and beverage
9.7 Others

Chapter 10 Market Estimates and Forecast, By Region, 2021 - 2032 ($Bn)

10.1 Key trends
10.2 North America
- 10.2.1 U.S.
- 10.2.2 Canada
10.3 Europe
- 10.3.1 UK
- 10.3.2 Germany
- 10.3.3 France
- 10.3.4 Spain
- 10.3.5 Italy
- 10.3.6 Russia
- 10.3.7 Nordics
- 10.3.8 Rest of Europe
10.4 Asia Pacific
- 10.4.1 China
- 10.4.2 India
- 10.4.3 Japan
- 10.4.4 South Korea
- 10.4.5 ANZ
- 10.4.6 Southeast Asia
- 10.4.7 Rest of Asia Pacific
10.5 Latin America
- 10.5.1 Brazil
- 10.5.2 Mexico
- 10.5.3 Argentina
- 10.5.4 Rest of Latin America
10.6 MEA
- 10.6.1 UAE
- 10.6.2 South Africa
- 10.6.3 Saudi Arabia
- 10.6.4 Rest of MEA