Global AI Supply Chain Logistics Management Software Market Research Report 2024

Publication ID:

PB512249554

Publication Date:

December 10, 2024

Pages:

Publisher:

MRRPB5

Countries:

Global [1]

USD 2,900.00

IT Services [2]

Computing & Electronics [3]

Description:

The global market for AI Supply Chain Logistics Management Software was valued at US$ 1225 million in the year 2023 and is projected to reach a revised size of US$ 1574 million by 2030, growing at a CAGR of 4.2% during the forecast period.
AI supply chain logistics management software is a software system that leverages artificial intelligence technology to optimize and enhance the efficiency of supply chain logistics management. Through intelligent algorithms and data analysis, it realizes real-time monitoring, prediction, and optimization of all aspects of the supply chain, including inventory management, procurement planning, production planning, and transportation scheduling. Aimed at helping enterprises reduce operating costs, improve inventory turnover rates, shorten delivery cycles, and enhance customer satisfaction, it automatically processes and analyzes large amounts of data to identify potential operational issues and improvement opportunities, providing scientific and accurate decision support. Additionally, the software supports integration with various logistics equipment and systems, enabling intelligent and automated management of supply chain logistics.
North American market for AI Supply Chain Logistics Management Software is estimated to increase from $ million in 2023 to reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
Asia-Pacific market for AI Supply Chain Logistics Management Software is estimated to increase from $ million in 2023 to reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
The global market for AI Supply Chain Logistics Management Software in Large Enterprises is estimated to increase from $ million in 2023 to $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
The major global companies of AI Supply Chain Logistics Management Software include ThroughPut AI, Logility, Blue Yonder, Oracle, Kinaxis RapidResponse, IBM, GEP, AutoScheduler, O9solutions, Magaya Supply Chain, etc. In 2023, 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 Supply Chain Logistics Management Software, 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 Supply Chain Logistics Management Software.
The AI Supply Chain Logistics Management Software market size, estimations, and forecasts are provided in terms of and revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. This report segments the global AI Supply Chain Logistics Management Software 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 Supply Chain Logistics Management Software 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
ThroughPut AI
Logility
Blue Yonder
Oracle
Kinaxis RapidResponse
IBM
GEP
AutoScheduler
O9solutions
Magaya Supply Chain
Supply Chain Guru
Algo
Noodle Al
SAP
C3.AI
Nextgeninvent
Coupa
AWS
Segment by Type
Cloud Based
On Premise
Segment by Application
Large Enterprises
SMEs
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 Supply Chain Logistics Management Software 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.

Please Note - This is an on demand report and will be delivered in 2 business days (48 hours) post payment.

Table Of Contents:

1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global AI Supply Chain Logistics Management Software Market Size Growth Rate by Type: 2019 VS 2023 VS 2030
1.2.2 Cloud Based
1.2.3 On Premise
1.3 Market by Application
1.3.1 Global AI Supply Chain Logistics Management Software Market Growth by Application: 2019 VS 2023 VS 2030
1.3.2 Large Enterprises
1.3.3 SMEs
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Global Growth Trends
2.1 Global AI Supply Chain Logistics Management Software Market Perspective (2019-2030)
2.2 Global AI Supply Chain Logistics Management Software Growth Trends by Region
2.2.1 Global AI Supply Chain Logistics Management Software Market Size by Region: 2019 VS 2023 VS 2030
2.2.2 AI Supply Chain Logistics Management Software Historic Market Size by Region (2019-2024)
2.2.3 AI Supply Chain Logistics Management Software Forecasted Market Size by Region (2025-2030)
2.3 AI Supply Chain Logistics Management Software Market Dynamics
2.3.1 AI Supply Chain Logistics Management Software Industry Trends
2.3.2 AI Supply Chain Logistics Management Software Market Drivers
2.3.3 AI Supply Chain Logistics Management Software Market Challenges
2.3.4 AI Supply Chain Logistics Management Software Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top AI Supply Chain Logistics Management Software Players by Revenue
3.1.1 Global Top AI Supply Chain Logistics Management Software Players by Revenue (2019-2024)
3.1.2 Global AI Supply Chain Logistics Management Software Revenue Market Share by Players (2019-2024)
3.2 Global AI Supply Chain Logistics Management Software Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Global Key Players Ranking by AI Supply Chain Logistics Management Software Revenue
3.4 Global AI Supply Chain Logistics Management Software Market Concentration Ratio
3.4.1 Global AI Supply Chain Logistics Management Software Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by AI Supply Chain Logistics Management Software Revenue in 2023
3.5 Global Key Players of AI Supply Chain Logistics Management Software Head office and Area Served
3.6 Global Key Players of AI Supply Chain Logistics Management Software, Product and Application
3.7 Global Key Players of AI Supply Chain Logistics Management Software, Date of Enter into This Industry
3.8 Mergers & Acquisitions, Expansion Plans
4 AI Supply Chain Logistics Management Software Breakdown Data by Type
4.1 Global AI Supply Chain Logistics Management Software Historic Market Size by Type (2019-2024)
4.2 Global AI Supply Chain Logistics Management Software Forecasted Market Size by Type (2025-2030)
5 AI Supply Chain Logistics Management Software Breakdown Data by Application
5.1 Global AI Supply Chain Logistics Management Software Historic Market Size by Application (2019-2024)
5.2 Global AI Supply Chain Logistics Management Software Forecasted Market Size by Application (2025-2030)
6 North America
6.1 North America AI Supply Chain Logistics Management Software Market Size (2019-2030)
6.2 North America AI Supply Chain Logistics Management Software Market Growth Rate by Country: 2019 VS 2023 VS 2030
6.3 North America AI Supply Chain Logistics Management Software Market Size by Country (2019-2024)
6.4 North America AI Supply Chain Logistics Management Software Market Size by Country (2025-2030)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe AI Supply Chain Logistics Management Software Market Size (2019-2030)
7.2 Europe AI Supply Chain Logistics Management Software Market Growth Rate by Country: 2019 VS 2023 VS 2030
7.3 Europe AI Supply Chain Logistics Management Software Market Size by Country (2019-2024)
7.4 Europe AI Supply Chain Logistics Management Software Market Size by Country (2025-2030)
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 Supply Chain Logistics Management Software Market Size (2019-2030)
8.2 Asia-Pacific AI Supply Chain Logistics Management Software Market Growth Rate by Country: 2019 VS 2023 VS 2030
8.3 Asia-Pacific AI Supply Chain Logistics Management Software Market Size by Region (2019-2024)
8.4 Asia-Pacific AI Supply Chain Logistics Management Software Market Size by Region (2025-2030)
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 Supply Chain Logistics Management Software Market Size (2019-2030)
9.2 Latin America AI Supply Chain Logistics Management Software Market Growth Rate by Country: 2019 VS 2023 VS 2030
9.3 Latin America AI Supply Chain Logistics Management Software Market Size by Country (2019-2024)
9.4 Latin America AI Supply Chain Logistics Management Software Market Size by Country (2025-2030)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa AI Supply Chain Logistics Management Software Market Size (2019-2030)
10.2 Middle East & Africa AI Supply Chain Logistics Management Software Market Growth Rate by Country: 2019 VS 2023 VS 2030
10.3 Middle East & Africa AI Supply Chain Logistics Management Software Market Size by Country (2019-2024)
10.4 Middle East & Africa AI Supply Chain Logistics Management Software Market Size by Country (2025-2030)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 ThroughPut AI
11.1.1 ThroughPut AI Company Details
11.1.2 ThroughPut AI Business Overview
11.1.3 ThroughPut AI AI Supply Chain Logistics Management Software Introduction
11.1.4 ThroughPut AI Revenue in AI Supply Chain Logistics Management Software Business (2019-2024)
11.1.5 ThroughPut AI Recent Development
11.2 Logility
11.2.1 Logility Company Details
11.2.2 Logility Business Overview
11.2.3 Logility AI Supply Chain Logistics Management Software Introduction
11.2.4 Logility Revenue in AI Supply Chain Logistics Management Software Business (2019-2024)
11.2.5 Logility Recent Development
11.3 Blue Yonder
11.3.1 Blue Yonder Company Details
11.3.2 Blue Yonder Business Overview
11.3.3 Blue Yonder AI Supply Chain Logistics Management Software Introduction
11.3.4 Blue Yonder Revenue in AI Supply Chain Logistics Management Software Business (2019-2024)
11.3.5 Blue Yonder Recent Development
11.4 Oracle
11.4.1 Oracle Company Details
11.4.2 Oracle Business Overview
11.4.3 Oracle AI Supply Chain Logistics Management Software Introduction
11.4.4 Oracle Revenue in AI Supply Chain Logistics Management Software Business (2019-2024)
11.4.5 Oracle Recent Development
11.5 Kinaxis RapidResponse
11.5.1 Kinaxis RapidResponse Company Details
11.5.2 Kinaxis RapidResponse Business Overview
11.5.3 Kinaxis RapidResponse AI Supply Chain Logistics Management Software Introduction
11.5.4 Kinaxis RapidResponse Revenue in AI Supply Chain Logistics Management Software Business (2019-2024)
11.5.5 Kinaxis RapidResponse Recent Development
11.6 IBM
11.6.1 IBM Company Details
11.6.2 IBM Business Overview
11.6.3 IBM AI Supply Chain Logistics Management Software Introduction
11.6.4 IBM Revenue in AI Supply Chain Logistics Management Software Business (2019-2024)
11.6.5 IBM Recent Development
11.7 GEP
11.7.1 GEP Company Details
11.7.2 GEP Business Overview
11.7.3 GEP AI Supply Chain Logistics Management Software Introduction
11.7.4 GEP Revenue in AI Supply Chain Logistics Management Software Business (2019-2024)
11.7.5 GEP Recent Development
11.8 AutoScheduler
11.8.1 AutoScheduler Company Details
11.8.2 AutoScheduler Business Overview
11.8.3 AutoScheduler AI Supply Chain Logistics Management Software Introduction
11.8.4 AutoScheduler Revenue in AI Supply Chain Logistics Management Software Business (2019-2024)
11.8.5 AutoScheduler Recent Development
11.9 O9solutions
11.9.1 O9solutions Company Details
11.9.2 O9solutions Business Overview
11.9.3 O9solutions AI Supply Chain Logistics Management Software Introduction
11.9.4 O9solutions Revenue in AI Supply Chain Logistics Management Software Business (2019-2024)
11.9.5 O9solutions Recent Development
11.10 Magaya Supply Chain
11.10.1 Magaya Supply Chain Company Details
11.10.2 Magaya Supply Chain Business Overview
11.10.3 Magaya Supply Chain AI Supply Chain Logistics Management Software Introduction
11.10.4 Magaya Supply Chain Revenue in AI Supply Chain Logistics Management Software Business (2019-2024)
11.10.5 Magaya Supply Chain Recent Development
11.11 Supply Chain Guru
11.11.1 Supply Chain Guru Company Details
11.11.2 Supply Chain Guru Business Overview
11.11.3 Supply Chain Guru AI Supply Chain Logistics Management Software Introduction
11.11.4 Supply Chain Guru Revenue in AI Supply Chain Logistics Management Software Business (2019-2024)
11.11.5 Supply Chain Guru Recent Development
11.12 Algo
11.12.1 Algo Company Details
11.12.2 Algo Business Overview
11.12.3 Algo AI Supply Chain Logistics Management Software Introduction
11.12.4 Algo Revenue in AI Supply Chain Logistics Management Software Business (2019-2024)
11.12.5 Algo Recent Development
11.13 Noodle Al
11.13.1 Noodle Al Company Details
11.13.2 Noodle Al Business Overview
11.13.3 Noodle Al AI Supply Chain Logistics Management Software Introduction
11.13.4 Noodle Al Revenue in AI Supply Chain Logistics Management Software Business (2019-2024)
11.13.5 Noodle Al Recent Development
11.14 SAP
11.14.1 SAP Company Details
11.14.2 SAP Business Overview
11.14.3 SAP AI Supply Chain Logistics Management Software Introduction
11.14.4 SAP Revenue in AI Supply Chain Logistics Management Software Business (2019-2024)
11.14.5 SAP Recent Development
11.15 C3.AI
11.15.1 C3.AI Company Details
11.15.2 C3.AI Business Overview
11.15.3 C3.AI AI Supply Chain Logistics Management Software Introduction
11.15.4 C3.AI Revenue in AI Supply Chain Logistics Management Software Business (2019-2024)
11.15.5 C3.AI Recent Development
11.16 Nextgeninvent
11.16.1 Nextgeninvent Company Details
11.16.2 Nextgeninvent Business Overview
11.16.3 Nextgeninvent AI Supply Chain Logistics Management Software Introduction
11.16.4 Nextgeninvent Revenue in AI Supply Chain Logistics Management Software Business (2019-2024)
11.16.5 Nextgeninvent Recent Development
11.17 Coupa
11.17.1 Coupa Company Details
11.17.2 Coupa Business Overview
11.17.3 Coupa AI Supply Chain Logistics Management Software Introduction
11.17.4 Coupa Revenue in AI Supply Chain Logistics Management Software Business (2019-2024)
11.17.5 Coupa Recent Development
11.18 AWS
11.18.1 AWS Company Details
11.18.2 AWS Business Overview
11.18.3 AWS AI Supply Chain Logistics Management Software Introduction
11.18.4 AWS Revenue in AI Supply Chain Logistics Management Software Business (2019-2024)
11.18.5 AWS 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

Companies Mentioned:

ThroughPut AI
Logility
Blue Yonder
Oracle
Kinaxis RapidResponse
IBM
GEP
AutoScheduler
O9solutions
Magaya Supply Chain
Supply Chain Guru
Algo
Noodle Al
SAP
C3.AI
Nextgeninvent
Coupa
AWS

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