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

Description

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.

Product Code: 10653

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

Chapter 11 Company Profiles

11.1 ABB
11.2 Amazon Web Services (AWS)
11.3 Dematic
11.4 Fetch Robotics
11.5 Geek+
11.6 Google
11.7 GreyOrange
11.8 Honeywell International
11.9 IBM
11.10 Knapp AG
11.11 Korber Logistics
11.12 Locus Robotics
11.13 Manhattan Associates
11.14 Microsoft
11.15 Oracle
11.16 SAP
11.17 Siemens
11.18 Swisslog
11.19 Vecna Robotics
11.20 Zebra Technologies