

The global market for AI-powered Warehouse Management System was valued at US$ 352 million in the year 2024 and is projected to reach a revised size of US$ 561 million by 2031, growing at a CAGR of 6.8% during the forecast period.
An AI-powered Warehouse Management System (WMS) is a software solution that integrates artificial intelligence and machine learning to optimize warehouse operations such as inventory management, order picking, sorting, and shipping. It uses predictive analytics to forecast demand, automates tasks to reduce human error, and dynamically routes goods to improve efficiency. With real-time inventory tracking and data-driven insights, an AI-powered WMS enhances operational efficiency, reduces costs, and improves accuracy and speed in fulfilling orders, ultimately leading to better decision-making and service levels within the warehouse.
North American market for AI-powered Warehouse Management System is estimated to increase from $ million in 2024 to reach $ million by 2031, at a CAGR of % during the forecast period of 2025 through 2031.
Asia-Pacific market for AI-powered Warehouse Management System is estimated to increase from $ million in 2024 to reach $ million by 2031, at a CAGR of % during the forecast period of 2025 through 2031.
The global market for AI-powered Warehouse Management System in Industrial Manufacturing is estimated to increase from $ million in 2024 to $ million by 2031, at a CAGR of % during the forecast period of 2025 through 2031.
The major global companies of AI-powered Warehouse Management System include Zebra Technologies, Dematic, Honeywell, Locus Robotics, GreyOrange, Vanderlande, KION Group, Swisslog, Blue Yonder, Manhattan Associates, etc. In 2024, the world's top three vendors accounted for approximately % of the revenue.
This report aims to provide a comprehensive presentation of the global market for AI-powered Warehouse Management System, with both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding AI-powered Warehouse Management System.
The AI-powered Warehouse Management System market size, estimations, and forecasts are provided in terms of and revenue ($ millions), considering 2024 as the base year, with history and forecast data for the period from 2020 to 2031. This report segments the global AI-powered Warehouse Management System market comprehensively. Regional market sizes, concerning products by Type, by Application, and by players, are also provided.
For a more in-depth understanding of the market, the report provides profiles of the competitive landscape, key competitors, and their respective market ranks. The report also discusses technological trends and new product developments.
The report will help the AI-powered Warehouse Management System companies, new entrants, and industry chain related companies in this market with information on the revenues for the overall market and the sub-segments across the different segments, by company, by Type, by Application, and by regions.
Market Segmentation
By Company
Zebra Technologies
Dematic
Honeywell
Locus Robotics
GreyOrange
Vanderlande
KION Group
Swisslog
Blue Yonder
Manhattan Associates
°Ã¶°ù²ú±ð°ù
Infor
Softeon
One Network Enterprises
Extensiv
Takeoff Technologies
SAP
Segment by Type
Hardware and Robotics
Software and Solutions
Segment by Application
Industrial Manufacturing
Logistics and 3PL
Wholesale and Distribution
E-Commerce and Retail
By Region
North America
United States
Canada
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Europe
Germany
France
U.K.
Italy
Russia
Nordic Countries
Rest of Europe
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA
Chapter Outline
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by Type, by Application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter 2: Introduces executive summary of global market size, regional market size, this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter 3: Detailed analysis of AI-powered Warehouse Management System company competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 5: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 6, 7, 8, 9, 10: North America, Europe, Asia Pacific, Latin America, Middle East and Africa segment by country. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and capacity of each country in the world.
Chapter 11: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product sales, revenue, price, gross margin, product introduction, recent development, etc.
Chapter 12: The main points and conclusions of the report.
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1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global AI-powered Warehouse Management System Market Size Growth Rate by Type: 2020 VS 2024 VS 2031
1.2.2 Hardware and Robotics
1.2.3 Software and Solutions
1.3 Market by Application
1.3.1 Global AI-powered Warehouse Management System Market Growth by Application: 2020 VS 2024 VS 2031
1.3.2 Industrial Manufacturing
1.3.3 Logistics and 3PL
1.3.4 Wholesale and Distribution
1.3.5 E-Commerce and Retail
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Global Growth Trends
2.1 Global AI-powered Warehouse Management System Market Perspective (2020-2031)
2.2 Global AI-powered Warehouse Management System Growth Trends by Region
2.2.1 Global AI-powered Warehouse Management System Market Size by Region: 2020 VS 2024 VS 2031
2.2.2 AI-powered Warehouse Management System Historic Market Size by Region (2020-2025)
2.2.3 AI-powered Warehouse Management System Forecasted Market Size by Region (2026-2031)
2.3 AI-powered Warehouse Management System Market Dynamics
2.3.1 AI-powered Warehouse Management System Industry Trends
2.3.2 AI-powered Warehouse Management System Market Drivers
2.3.3 AI-powered Warehouse Management System Market Challenges
2.3.4 AI-powered Warehouse Management System Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top AI-powered Warehouse Management System Players by Revenue
3.1.1 Global Top AI-powered Warehouse Management System Players by Revenue (2020-2025)
3.1.2 Global AI-powered Warehouse Management System Revenue Market Share by Players (2020-2025)
3.2 Global Top AI-powered Warehouse Management System Players by Company Type and Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Global Key Players Ranking by AI-powered Warehouse Management System Revenue
3.4 Global AI-powered Warehouse Management System Market Concentration Ratio
3.4.1 Global AI-powered Warehouse Management System Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by AI-powered Warehouse Management System Revenue in 2024
3.5 Global Key Players of AI-powered Warehouse Management System Head office and Area Served
3.6 Global Key Players of AI-powered Warehouse Management System, Product and Application
3.7 Global Key Players of AI-powered Warehouse Management System, Date of Enter into This Industry
3.8 Mergers & Acquisitions, Expansion Plans
4 AI-powered Warehouse Management System Breakdown Data by Type
4.1 Global AI-powered Warehouse Management System Historic Market Size by Type (2020-2025)
4.2 Global AI-powered Warehouse Management System Forecasted Market Size by Type (2026-2031)
5 AI-powered Warehouse Management System Breakdown Data by Application
5.1 Global AI-powered Warehouse Management System Historic Market Size by Application (2020-2025)
5.2 Global AI-powered Warehouse Management System Forecasted Market Size by Application (2026-2031)
6 North America
6.1 North America AI-powered Warehouse Management System Market Size (2020-2031)
6.2 North America AI-powered Warehouse Management System Market Growth Rate by Country: 2020 VS 2024 VS 2031
6.3 North America AI-powered Warehouse Management System Market Size by Country (2020-2025)
6.4 North America AI-powered Warehouse Management System Market Size by Country (2026-2031)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe AI-powered Warehouse Management System Market Size (2020-2031)
7.2 Europe AI-powered Warehouse Management System Market Growth Rate by Country: 2020 VS 2024 VS 2031
7.3 Europe AI-powered Warehouse Management System Market Size by Country (2020-2025)
7.4 Europe AI-powered Warehouse Management System Market Size by Country (2026-2031)
7.5 Germany
7.6 France
7.7 U.K.
7.8 Italy
7.9 Russia
7.10 Nordic Countries
8 Asia-Pacific
8.1 Asia-Pacific AI-powered Warehouse Management System Market Size (2020-2031)
8.2 Asia-Pacific AI-powered Warehouse Management System Market Growth Rate by Region: 2020 VS 2024 VS 2031
8.3 Asia-Pacific AI-powered Warehouse Management System Market Size by Region (2020-2025)
8.4 Asia-Pacific AI-powered Warehouse Management System Market Size by Region (2026-2031)
8.5 China
8.6 Japan
8.7 South Korea
8.8 Southeast Asia
8.9 India
8.10 Australia
9 Latin America
9.1 Latin America AI-powered Warehouse Management System Market Size (2020-2031)
9.2 Latin America AI-powered Warehouse Management System Market Growth Rate by Country: 2020 VS 2024 VS 2031
9.3 Latin America AI-powered Warehouse Management System Market Size by Country (2020-2025)
9.4 Latin America AI-powered Warehouse Management System Market Size by Country (2026-2031)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa AI-powered Warehouse Management System Market Size (2020-2031)
10.2 Middle East & Africa AI-powered Warehouse Management System Market Growth Rate by Country: 2020 VS 2024 VS 2031
10.3 Middle East & Africa AI-powered Warehouse Management System Market Size by Country (2020-2025)
10.4 Middle East & Africa AI-powered Warehouse Management System Market Size by Country (2026-2031)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 Zebra Technologies
11.1.1 Zebra Technologies Company Details
11.1.2 Zebra Technologies Business Overview
11.1.3 Zebra Technologies AI-powered Warehouse Management System Introduction
11.1.4 Zebra Technologies Revenue in AI-powered Warehouse Management System Business (2020-2025)
11.1.5 Zebra Technologies Recent Development
11.2 Dematic
11.2.1 Dematic Company Details
11.2.2 Dematic Business Overview
11.2.3 Dematic AI-powered Warehouse Management System Introduction
11.2.4 Dematic Revenue in AI-powered Warehouse Management System Business (2020-2025)
11.2.5 Dematic Recent Development
11.3 Honeywell
11.3.1 Honeywell Company Details
11.3.2 Honeywell Business Overview
11.3.3 Honeywell AI-powered Warehouse Management System Introduction
11.3.4 Honeywell Revenue in AI-powered Warehouse Management System Business (2020-2025)
11.3.5 Honeywell Recent Development
11.4 Locus Robotics
11.4.1 Locus Robotics Company Details
11.4.2 Locus Robotics Business Overview
11.4.3 Locus Robotics AI-powered Warehouse Management System Introduction
11.4.4 Locus Robotics Revenue in AI-powered Warehouse Management System Business (2020-2025)
11.4.5 Locus Robotics Recent Development
11.5 GreyOrange
11.5.1 GreyOrange Company Details
11.5.2 GreyOrange Business Overview
11.5.3 GreyOrange AI-powered Warehouse Management System Introduction
11.5.4 GreyOrange Revenue in AI-powered Warehouse Management System Business (2020-2025)
11.5.5 GreyOrange Recent Development
11.6 Vanderlande
11.6.1 Vanderlande Company Details
11.6.2 Vanderlande Business Overview
11.6.3 Vanderlande AI-powered Warehouse Management System Introduction
11.6.4 Vanderlande Revenue in AI-powered Warehouse Management System Business (2020-2025)
11.6.5 Vanderlande Recent Development
11.7 KION Group
11.7.1 KION Group Company Details
11.7.2 KION Group Business Overview
11.7.3 KION Group AI-powered Warehouse Management System Introduction
11.7.4 KION Group Revenue in AI-powered Warehouse Management System Business (2020-2025)
11.7.5 KION Group Recent Development
11.8 Swisslog
11.8.1 Swisslog Company Details
11.8.2 Swisslog Business Overview
11.8.3 Swisslog AI-powered Warehouse Management System Introduction
11.8.4 Swisslog Revenue in AI-powered Warehouse Management System Business (2020-2025)
11.8.5 Swisslog Recent Development
11.9 Blue Yonder
11.9.1 Blue Yonder Company Details
11.9.2 Blue Yonder Business Overview
11.9.3 Blue Yonder AI-powered Warehouse Management System Introduction
11.9.4 Blue Yonder Revenue in AI-powered Warehouse Management System Business (2020-2025)
11.9.5 Blue Yonder Recent Development
11.10 Manhattan Associates
11.10.1 Manhattan Associates Company Details
11.10.2 Manhattan Associates Business Overview
11.10.3 Manhattan Associates AI-powered Warehouse Management System Introduction
11.10.4 Manhattan Associates Revenue in AI-powered Warehouse Management System Business (2020-2025)
11.10.5 Manhattan Associates Recent Development
11.11 °Ã¶°ù²ú±ð°ù
11.11.1 °Ã¶°ù²ú±ð°ù Company Details
11.11.2 °Ã¶°ù²ú±ð°ù Business Overview
11.11.3 °Ã¶°ù²ú±ð°ù AI-powered Warehouse Management System Introduction
11.11.4 °Ã¶°ù²ú±ð°ù Revenue in AI-powered Warehouse Management System Business (2020-2025)
11.11.5 °Ã¶°ù²ú±ð°ù Recent Development
11.12 Infor
11.12.1 Infor Company Details
11.12.2 Infor Business Overview
11.12.3 Infor AI-powered Warehouse Management System Introduction
11.12.4 Infor Revenue in AI-powered Warehouse Management System Business (2020-2025)
11.12.5 Infor Recent Development
11.13 Softeon
11.13.1 Softeon Company Details
11.13.2 Softeon Business Overview
11.13.3 Softeon AI-powered Warehouse Management System Introduction
11.13.4 Softeon Revenue in AI-powered Warehouse Management System Business (2020-2025)
11.13.5 Softeon Recent Development
11.14 One Network Enterprises
11.14.1 One Network Enterprises Company Details
11.14.2 One Network Enterprises Business Overview
11.14.3 One Network Enterprises AI-powered Warehouse Management System Introduction
11.14.4 One Network Enterprises Revenue in AI-powered Warehouse Management System Business (2020-2025)
11.14.5 One Network Enterprises Recent Development
11.15 Extensiv
11.15.1 Extensiv Company Details
11.15.2 Extensiv Business Overview
11.15.3 Extensiv AI-powered Warehouse Management System Introduction
11.15.4 Extensiv Revenue in AI-powered Warehouse Management System Business (2020-2025)
11.15.5 Extensiv Recent Development
11.16 Takeoff Technologies
11.16.1 Takeoff Technologies Company Details
11.16.2 Takeoff Technologies Business Overview
11.16.3 Takeoff Technologies AI-powered Warehouse Management System Introduction
11.16.4 Takeoff Technologies Revenue in AI-powered Warehouse Management System Business (2020-2025)
11.16.5 Takeoff Technologies Recent Development
11.17 SAP
11.17.1 SAP Company Details
11.17.2 SAP Business Overview
11.17.3 SAP AI-powered Warehouse Management System Introduction
11.17.4 SAP Revenue in AI-powered Warehouse Management System Business (2020-2025)
11.17.5 SAP Recent Development
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.1.1 Research Programs/Design
13.1.1.2 Market Size Estimation
13.1.1.3 Market Breakdown and Data Triangulation
13.1.2 Data Source
13.1.2.1 Secondary Sources
13.1.2.2 Primary Sources
13.2 Author Details
13.3 Disclaimer
Zebra Technologies
Dematic
Honeywell
Locus Robotics
GreyOrange
Vanderlande
KION Group
Swisslog
Blue Yonder
Manhattan Associates
°Ã¶°ù²ú±ð°ù
Infor
Softeon
One Network Enterprises
Extensiv
Takeoff Technologies
SAP
Ìý
Ìý
*If Applicable.