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市場調查報告書

商品編碼

1570626

倉儲市場人工智慧、機會、成長動力、產業趨勢分析與預測，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個工作天內

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簡介目錄

2023 年，全球倉儲人工智慧市場估值為83 億美元，預測顯示出強勁的成長軌跡，預計2024 年至2032 年複合年成長率將超過26.8%。不斷升級而推動的。隨著企業努力應對不斷成長的需求和不斷變化的客戶期望，企業正在齊心協力簡化流程並削減成本。

技術進步正在重塑人工智慧在倉儲領域的格局，特別是隨著人工智慧驅動的機器人技術的激增。如今的機器人擅長執行揀貨、包裝和運輸貨物等複雜的任務，顯著提高了精度和效率。這些進步使倉庫能夠自動執行重複性任務，減少對體力勞動的依賴並減少錯誤。此外，協作機器人（cobots）的興起引入了操作靈活性的新維度，使它們能夠與人類同行安全地一起工作。

倉儲產業的人工智慧分為組件、應用、部署模式、組織規模、最終用戶產業和地區。

市場依組件分為硬體、軟體和服務。 2023年，硬體佔據主導地位，佔有率超過47%。預測顯示，到 2032 年，該領域的價值將超過 315 億美元，凸顯了其在人工智慧驅動解決方案部署中的關鍵作用。包括機器人、感測器、攝影機和自動導引車 (AGV) 在內的硬體組件對於自動化任務（例如揀選、分類和運輸貨物）是不可或缺的。此類先進系統需要對高科技設備進行大量投資，通常佔總支出的很大一部分。

倉儲市場中的人工智慧依部署模式分為雲端解決方案和本地解決方案。 2023 年，雲端細分市場佔據約 63% 的主導佔有率。這種偏好可以歸因於可擴展性、即時存取和無縫整合等優勢。雲端解決方案讓企業可以根據需求擴展資源，避免大量的前期基礎設施投資。這種靈活性對於容量可變的倉庫尤其有利。

2023年，北美佔據人工智慧倉儲市場佔有率的43%以上。預測表明，到2032 年，這一佔有率將推動市場價值超過302 億美元。歸功於先進的物流基礎設施和巨額投資在自動化領域，美國表現優異。此外，蓬勃發展的電子商務格局和對高效供應鏈管理的迫切需求將進一步放大對人工智慧解決方案的需求。

產業生態系統分析
供應商格局
- 技術提供者
- 軟體和平台開發商
- 機器人製造商
- 系統整合商
- 顧問公司
利潤率分析
技術與創新格局
專利分析
重要新聞和舉措
監管環境
衝擊力
- 成長動力
  - 對倉儲營運效率和自動化的需求不斷增加
  - 網上購物和電子商務熱潮激增
  - 機器人技術的進步
  - 降低成本並提高效率
- 產業陷阱與挑戰
  - 實施人工智慧解決方案的初始投資較高
  - 人工智慧系統的數據品質和可用性
成長潛力分析
波特的分析
PESTEL分析

第 4 章：競爭格局

介紹
公司市佔率分析
競爭定位矩陣
戰略展望矩陣

第 5 章：市場估計與預測：按組成部分，2021 - 2032 年

主要趨勢
硬體
- 人工智慧驅動的機器人
- 感應器
- 相機
- 其他
軟體
- 人工智慧演算法
- 數據分析軟體
- 其他
服務
- 專業的
  - 執行
  - 維護
  - 支援
- 託管

第 6 章：市場估計與預測：按應用分類，2021 - 2032

主要趨勢
庫存管理
訂單揀選和分揀
倉庫最佳化
預測性維護
供應鏈可視性

第 7 章：市場估計與預測：按部署模式，2021 - 2032 年

主要趨勢
雲
本地

第 8 章：市場估計與預測：按組織規模，2021 - 2032

主要趨勢
中小企業（SME）
大型企業

第 9 章：市場估計與預測：按最終用戶產業，2021 - 2032 年

主要趨勢
零售與電子商務
物流運輸
製造業
衛生保健
食品和飲料
其他

第 10 章：市場估計與預測：按地區，2021 - 2032

主要趨勢
北美洲
- 美國
- 加拿大
歐洲
- 英國
- 德國
- 法國
- 西班牙
- 義大利
- 俄羅斯
- 北歐人
- 歐洲其他地區
亞太地區
- 中國
- 印度
- 日本
- 韓國
- 澳新銀行
- 東南亞
- 亞太地區其他地區
拉丁美洲
- 巴西
- 墨西哥
- 阿根廷
- 拉丁美洲其他地區
MEA
- 阿拉伯聯合大公國
- 南非
- 沙烏地阿拉伯
- MEA 的其餘部分

第 11 章：公司簡介

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

簡介目錄

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