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AI-Powered Supply Chain Planning Software Industry Research Report 2026
Market perspective
The global AI-Powered Supply Chain Planning Software market was valued at US$ million in 2025 and is projected to reach US$ million by 2032, implying a CAGR of % over 2026–2032.
North America: the AI-Powered Supply Chain Planning Software market is projected to increase from US$ million in 2026 to US$ million by 2032, reflecting a CAGR of % over 2026–2032. Europe: the AI-Powered Supply Chain Planning Software market is projected to rise from US$ million in 2026 to US$ million by 2032, registering a CAGR of % over 2026–2032. Asia Pacific: the AI-Powered Supply Chain Planning Software market is expected to grow from US$ million in 2026 to US$ million by 2032, at a CAGR of % over 2026–2032. Leading global service providers of AI-Powered Supply Chain Planning Software include Magaya, Logility, IBM, Solvoyo, LLamasoft, ThroughPut, Blue Yonder, Advanced Supply Chain Group and Algo, among others; in 2025, the top three vendors together accounted for approximately % of global revenue.
Report Scope
Read the full market overview
This report quantifies the global AI-Powered Supply Chain Planning Software market in terms of revenue (US$ million) and, where applicable, service volume (k units), using 2024 as the base year and providing annual historical and forecast data for 2021–2032.
It standardizes definitions of service Types and end-use Applications, harmonizes provider attribution, and delivers comparable time series by company, Type, Application, and region or country, including indicative price bands (US$/k units) and concentration ratios (CR5/CR10). Outputs are intended to support service design, budgeting, capacity planning, and benchmarking for providers, platforms, channel partners, and investors; the report also reviews technology shifts and notable service innovations relevant to AI-Powered Supply Chain Planning Software.
Key Companies & Market Share Insights
This section profiles leading service providers with 2021–2025 results and a 2026–2032 outlook—covering revenue, market share, price bands, service portfolio and client mix, regional and channel mix, and key developments (M&A, network expansion, certifications). It also provides global revenue, average price, and—where applicable—volume metrics by provider, and calculates CR5/CR10 and rank changes to support comparative benchmarking.
AI-Powered Supply Chain Planning Software Market by Company
Magaya
Logility
IBM
Solvoyo
LLamasoft
ThroughPut
Blue Yonder
Advanced Supply Chain Group
Algo
Agatha
SAP Ariba
Kinaxis
o9 Solutions
e2open
FourKites
Vuealta
Oracle
project44
New Horizon
GEP
Optiwiser A.I.
ToolsGroup
Optiwiser AI Solutions
Firstshift
AI-Powered Supply Chain Planning Software Segment by Type
On Premises
Cloud-based
AI-Powered Supply Chain Planning Software Segment by Application
SMEs
Large Enterprises
AI-Powered Supply Chain Planning Software Segment by Region
North America
United States
Canada
Mexico
Europe
Germany
France
U.K.
Italy
Spain
Russia
Netherlands
Nordic Countries
Asia-Pacific
China
Japan
South Korea
India
Australia
Taiwan
Southeast Asia
South America
Brazil
Argentina
Chile
Middle East & Africa
Saudi Arabia
Israel
United Arab Emirates
Turkey
Iran
Egypt
Key Drivers & Barriers
High-impact rendering factors and drivers have been studied in this report to aid the readers to understand the general development. Moreover, the report includes restraints and challenges that may act as stumbling blocks on the way of the players. This will assist the users to be attentive and make informed decisions related to business. Specialists have also laid their focus on the upcoming business prospects.
Reasons to Buy This Report
1. This report will help the readers to understand the competition within the industries and strategies for the competitive environment to enhance the potential profit. The report also focuses on the competitive landscape of the global AI-Powered Supply Chain Planning Software market, and introduces in detail the market share, industry ranking, competitor ecosystem, market performance, new product development, operation situation, expansion, and acquisition. etc. of the main players, which helps the readers to identify the main competitors and deeply understand the competition pattern of the market.
2. This report will help stakeholders to understand the global industry status and trends of AI-Powered Supply Chain Planning Software and provides them with information on key market drivers, restraints, challenges, and opportunities.
3. This report will help stakeholders to understand competitors better and gain more insights to strengthen their position in their businesses. The competitive landscape section includes the market share and rank (in volume and value), competitor ecosystem, new product development, expansion, and acquisition.
4. This report stays updated with novel technology integration, features, and the latest developments in the market
5. This report helps stakeholders to gain insights into which regions to target globally
6. This report helps stakeholders to gain insights into the end-user perception concerning the adoption of AI-Powered Supply Chain Planning Software.
7. This report helps stakeholders to identify some of the key players in the market and understand their valuable contribution.
Chapter Outline
Chapter 1: Research objectives, research methods, data sources, data cross-validation;
Chapter 2: Introduces the report scope of the report, executive summary of different market segments (product type, 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 3: Provides the analysis of various market segments product types, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 4: Provides the analysis of various market segments 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 5: 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 6: Detailed analysis of AI-Powered Supply Chain Planning Software companies’ competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 7, 8, 9, 10, 11: North America, Europe, Asia Pacific, South 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 12: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including revenue, gross margin, product introduction, recent development, etc.
Chapter 13: The main points and conclusions of the report.
More report detail
Tables and figures
Scope & coverage.
Types
- On Premises
- Cloud-based
Applications
- SMEs
- Large Enterprises
Companies covered
- Magaya
- Logility
- IBM
- Solvoyo
- LLamasoft
- ThroughPut
- Blue Yonder
- Advanced Supply Chain Group
- Algo
- Agatha
- SAP Ariba
- Kinaxis
- o9 Solutions
- e2open
- FourKites
- Vuealta
- Oracle
- project44
- New Horizon
- GEP
- Optiwiser A.I.
- ToolsGroup
- Optiwiser AI Solutions
- Firstshift
Inside the report.
1 Preface
- 1.1 Scope of Report
- 1.2 Reasons for Doing This Study
- 1.3 Research Methodology
- 1.4 Research Process
- 1.5 Data Source
- 1.5.1 Secondary Sources
- 1.5.2 Primary Sources
2 Market Overview
- 2.1 Product Definition
- 2.2 AI-Powered Supply Chain Planning Software by Type
- 2.2.1 Market Value Comparison by Type (2021 VS 2025 VS 2032)
- 2.2.2 On Premises
- 2.2.3 Cloud-based
- 2.3 AI-Powered Supply Chain Planning Software by Application
- 2.3.1 Market Value Comparison by Application (2021 VS 2025 VS 2032)
- 2.3.2 SMEs
- 2.3.3 Large Enterprises
- 2.4 Assumptions and Limitations
3 AI-Powered Supply Chain Planning Software Breakdown Data by Type
- 3.1 Global AI-Powered Supply Chain Planning Software Historic Market Size by Type (2021-2026)
- 3.2 Global AI-Powered Supply Chain Planning Software Forecasted Market Size by Type (2027-2032)
4 AI-Powered Supply Chain Planning Software Breakdown Data by Application
- 4.1 Global AI-Powered Supply Chain Planning Software Historic Market Size by Application (2021-2026)
- 4.2 Global AI-Powered Supply Chain Planning Software Forecasted Market Size by Application (2027-2032)
5 Global Growth Trends
- 5.1 Global AI-Powered Supply Chain Planning Software Market Perspective (2021-2032)
- 5.2 Global AI-Powered Supply Chain Planning Software Growth Trends by Region
- 5.2.1 Global AI-Powered Supply Chain Planning Software Market Size by Region: 2021 VS 2025 VS 2032
- 5.2.2 AI-Powered Supply Chain Planning Software Historic Market Size by Region (2021-2026)
- 5.2.3 AI-Powered Supply Chain Planning Software Forecasted Market Size by Region (2027-2032)
- 5.3 AI-Powered Supply Chain Planning Software Market Dynamics
- 5.3.1 AI-Powered Supply Chain Planning Software Industry Trends
- 5.3.2 AI-Powered Supply Chain Planning Software Market Drivers
- 5.3.3 AI-Powered Supply Chain Planning Software Market Challenges
- 5.3.4 AI-Powered Supply Chain Planning Software Market Restraints
6 Market Competitive Landscape by Players
- 6.1 Global Top AI-Powered Supply Chain Planning Software Players by Revenue
- 6.1.1 Global Top AI-Powered Supply Chain Planning Software Players by Revenue (2021-2026)
- 6.1.2 Global AI-Powered Supply Chain Planning Software Revenue Market Share by Players (2021-2026)
- 6.2 Global AI-Powered Supply Chain Planning Software Industry Players Ranking, 2023 VS 2024 VS 2025
- 6.3 Global Key Players of AI-Powered Supply Chain Planning Software Head Office and Area Served
- 6.4 Global AI-Powered Supply Chain Planning Software Players, Product Type & Application
- 6.5 Global AI-Powered Supply Chain Planning Software Manufacturers Established Date
- 6.6 Global AI-Powered Supply Chain Planning Software Market CR5 and HHI
- 6.7 Global Players Mergers & Acquisition
7 North America
- 7.1 North America AI-Powered Supply Chain Planning Software Market Size (2021-2032)
- 7.2 North America AI-Powered Supply Chain Planning Software Market Growth Rate by Country: 2021 VS 2025 VS 2032
- 7.3 North America AI-Powered Supply Chain Planning Software Market Size by Country (2021-2026)
- 7.4 North America AI-Powered Supply Chain Planning Software Market Size by Country (2027-2032)
- 7.5 United States
- 7.5 United States
- 7.6 Canada
- 7.7 Mexico
8 Europe
- 8.1 Europe AI-Powered Supply Chain Planning Software Market Size (2021-2032)
- 8.2 Europe AI-Powered Supply Chain Planning Software Market Growth Rate by Country: 2021 VS 2025 VS 2032
- 8.3 Europe AI-Powered Supply Chain Planning Software Market Size by Country (2021-2026)
- 8.4 Europe AI-Powered Supply Chain Planning Software Market Size by Country (2027-2032)
- 8.5 Germany
- 8.6 France
- 8.7 U.K.
- 8.8 Italy
- 8.9 Spain
- 8.10 Russia
- 8.11 Netherlands
- 8.12 Nordic Countries
9 Asia-Pacific
- 9.1 Asia-Pacific AI-Powered Supply Chain Planning Software Market Size (2021-2032)
- 9.2 Asia-Pacific AI-Powered Supply Chain Planning Software Market Growth Rate by Country: 2021 VS 2025 VS 2032
- 9.3 Asia-Pacific AI-Powered Supply Chain Planning Software Market Size by Country (2021-2026)
- 9.4 Asia-Pacific AI-Powered Supply Chain Planning Software Market Size by Country (2027-2032)
- 9.5 China
- 9.6 Japan
- 9.7 South Korea
- 9.8 India
- 9.9 Australia
- 9.10 China Taiwan
- 9.11 Southeast Asia
10 South America
- 10.1 South America AI-Powered Supply Chain Planning Software Market Size (2021-2032)
- 10.2 South America AI-Powered Supply Chain Planning Software Market Growth Rate by Country: 2021 VS 2025 VS 2032
- 10.3 South America AI-Powered Supply Chain Planning Software Market Size by Country (2021-2026)
- 10.4 South America AI-Powered Supply Chain Planning Software Market Size by Country (2027-2032)
- 10.5 Brazil
- 10.6 Argentina
- 10.7 Chile
- 10.8 Colombia
- 10.9 Peru
11 Middle East & Africa
- 11.1 Middle East & Africa AI-Powered Supply Chain Planning Software Market Size (2021-2032)
- 11.2 Middle East & Africa AI-Powered Supply Chain Planning Software Market Growth Rate by Country: 2021 VS 2025 VS 2032
- 11.3 Middle East & Africa AI-Powered Supply Chain Planning Software Market Size by Country (2021-2026)
- 11.4 Middle East & Africa AI-Powered Supply Chain Planning Software Market Size by Country (2027-2032)
- 11.5 Saudi Arabia
- 11.6 Israel
- 11.7 United Arab Emirates
- 11.8 Turkey
- 11.9 Iran
- 11.10 Egypt
12 Players Profiled
- 12.1 Magaya
- 12.1.1 Magaya Company Information
- 12.1.2 Magaya Business Overview
- 12.1.3 Magaya Revenue in AI-Powered Supply Chain Planning Software Business (2021-2026)
- 12.1.4 Magaya AI-Powered Supply Chain Planning Software Product Portfolio
- 12.1.5 Magaya Recent Developments
- 12.2 Logility
- 12.2.1 Logility Company Information
- 12.2.2 Logility Business Overview
- 12.2.3 Logility Revenue in AI-Powered Supply Chain Planning Software Business (2021-2026)
- 12.2.4 Logility AI-Powered Supply Chain Planning Software Product Portfolio
- 12.2.5 Logility Recent Developments
- 12.3 IBM
- 12.3.1 IBM Company Information
- 12.3.2 IBM Business Overview
- 12.3.3 IBM Revenue in AI-Powered Supply Chain Planning Software Business (2021-2026)
- 12.3.4 IBM AI-Powered Supply Chain Planning Software Product Portfolio
- 12.3.5 IBM Recent Developments
- 12.4 Solvoyo
- 12.4.1 Solvoyo Company Information
- 12.4.2 Solvoyo Business Overview
- 12.4.3 Solvoyo Revenue in AI-Powered Supply Chain Planning Software Business (2021-2026)
- 12.4.4 Solvoyo AI-Powered Supply Chain Planning Software Product Portfolio
- 12.4.5 Solvoyo Recent Developments
- 12.5 LLamasoft
- 12.5.1 LLamasoft Company Information
- 12.5.2 LLamasoft Business Overview
- 12.5.3 LLamasoft Revenue in AI-Powered Supply Chain Planning Software Business (2021-2026)
- 12.5.4 LLamasoft AI-Powered Supply Chain Planning Software Product Portfolio
- 12.5.5 LLamasoft Recent Developments
- 12.6 ThroughPut
- 12.6.1 ThroughPut Company Information
- 12.6.2 ThroughPut Business Overview
- 12.6.3 ThroughPut Revenue in AI-Powered Supply Chain Planning Software Business (2021-2026)
- 12.6.4 ThroughPut AI-Powered Supply Chain Planning Software Product Portfolio
- 12.6.5 ThroughPut Recent Developments
- 12.7 Blue Yonder
- 12.7.1 Blue Yonder Company Information
- 12.7.2 Blue Yonder Business Overview
- 12.7.3 Blue Yonder Revenue in AI-Powered Supply Chain Planning Software Business (2021-2026)
- 12.7.4 Blue Yonder AI-Powered Supply Chain Planning Software Product Portfolio
- 12.7.5 Blue Yonder Recent Developments
- 12.8 Advanced Supply Chain Group
- 12.8.1 Advanced Supply Chain Group Company Information
- 12.8.2 Advanced Supply Chain Group Business Overview
- 12.8.3 Advanced Supply Chain Group Revenue in AI-Powered Supply Chain Planning Software Business (2021-2026)
- 12.8.4 Advanced Supply Chain Group AI-Powered Supply Chain Planning Software Product Portfolio
- 12.8.5 Advanced Supply Chain Group Recent Developments
- 12.9 Algo
- 12.9.1 Algo Company Information
- 12.9.2 Algo Business Overview
- 12.9.3 Algo Revenue in AI-Powered Supply Chain Planning Software Business (2021-2026)
- 12.9.4 Algo AI-Powered Supply Chain Planning Software Product Portfolio
- 12.9.5 Algo Recent Developments
- 12.10 Agatha
- 12.10.1 Agatha Company Information
- 12.10.2 Agatha Business Overview
- 12.10.3 Agatha Revenue in AI-Powered Supply Chain Planning Software Business (2021-2026)
- 12.10.4 Agatha AI-Powered Supply Chain Planning Software Product Portfolio
- 12.10.5 Agatha Recent Developments
- 12.11 SAP Ariba
- 12.11.1 SAP Ariba Company Information
- 12.11.2 SAP Ariba Business Overview
- 12.11.3 SAP Ariba Revenue in AI-Powered Supply Chain Planning Software Business (2021-2026)
- 12.11.4 SAP Ariba AI-Powered Supply Chain Planning Software Product Portfolio
- 12.11.5 SAP Ariba Recent Developments
- 12.12 Kinaxis
- 12.12.1 Kinaxis Company Information
- 12.12.2 Kinaxis Business Overview
- 12.12.3 Kinaxis Revenue in AI-Powered Supply Chain Planning Software Business (2021-2026)
- 12.12.4 Kinaxis AI-Powered Supply Chain Planning Software Product Portfolio
- 12.12.5 Kinaxis Recent Developments
- 12.13 o9 Solutions
- 12.13.1 o9 Solutions Company Information
- 12.13.2 o9 Solutions Business Overview
- 12.13.3 o9 Solutions Revenue in AI-Powered Supply Chain Planning Software Business (2021-2026)
- 12.13.4 o9 Solutions AI-Powered Supply Chain Planning Software Product Portfolio
- 12.13.5 o9 Solutions Recent Developments
- 12.14 e2open
- 12.14.1 e2open Company Information
- 12.14.2 e2open Business Overview
- 12.14.3 e2open Revenue in AI-Powered Supply Chain Planning Software Business (2021-2026)
- 12.14.4 e2open AI-Powered Supply Chain Planning Software Product Portfolio
- 12.14.5 e2open Recent Developments
- 12.15 FourKites
- 12.15.1 FourKites Company Information
- 12.15.2 FourKites Business Overview
- 12.15.3 FourKites Revenue in AI-Powered Supply Chain Planning Software Business (2021-2026)
- 12.15.4 FourKites AI-Powered Supply Chain Planning Software Product Portfolio
- 12.15.5 FourKites Recent Developments
- 12.16 Vuealta
- 12.16.1 Vuealta Company Information
- 12.16.2 Vuealta Business Overview
- 12.16.3 Vuealta Revenue in AI-Powered Supply Chain Planning Software Business (2021-2026)
- 12.16.4 Vuealta AI-Powered Supply Chain Planning Software Product Portfolio
- 12.16.5 Vuealta Recent Developments
- 12.17 Oracle
- 12.17.1 Oracle Company Information
- 12.17.2 Oracle Business Overview
- 12.17.3 Oracle Revenue in AI-Powered Supply Chain Planning Software Business (2021-2026)
- 12.17.4 Oracle AI-Powered Supply Chain Planning Software Product Portfolio
- 12.17.5 Oracle Recent Developments
- 12.18 project44
- 12.18.1 project44 Company Information
- 12.18.2 project44 Business Overview
- 12.18.3 project44 Revenue in AI-Powered Supply Chain Planning Software Business (2021-2026)
- 12.18.4 project44 AI-Powered Supply Chain Planning Software Product Portfolio
- 12.18.5 project44 Recent Developments
- 12.19 New Horizon
- 12.19.1 New Horizon Company Information
- 12.19.2 New Horizon Business Overview
- 12.19.3 New Horizon Revenue in AI-Powered Supply Chain Planning Software Business (2021-2026)
- 12.19.4 New Horizon AI-Powered Supply Chain Planning Software Product Portfolio
- 12.19.5 New Horizon Recent Developments
- 12.20 GEP
- 12.20.1 GEP Company Information
- 12.20.2 GEP Business Overview
- 12.20.3 GEP Revenue in AI-Powered Supply Chain Planning Software Business (2021-2026)
- 12.20.4 GEP AI-Powered Supply Chain Planning Software Product Portfolio
- 12.20.5 GEP Recent Developments
- 12.21 Optiwiser A.I.
- 12.21.1 Optiwiser A.I. Company Information
- 12.21.2 Optiwiser A.I. Business Overview
- 12.21.3 Optiwiser A.I. Revenue in AI-Powered Supply Chain Planning Software Business (2021-2026)
- 12.21.4 Optiwiser A.I. AI-Powered Supply Chain Planning Software Product Portfolio
- 12.21.5 Optiwiser A.I. Recent Developments
- 12.22 ToolsGroup
- 12.22.1 ToolsGroup Company Information
- 12.22.2 ToolsGroup Business Overview
- 12.22.3 ToolsGroup Revenue in AI-Powered Supply Chain Planning Software Business (2021-2026)
- 12.22.4 ToolsGroup AI-Powered Supply Chain Planning Software Product Portfolio
- 12.22.5 ToolsGroup Recent Developments
- 12.23 Optiwiser AI Solutions
- 12.23.1 Optiwiser AI Solutions Company Information
- 12.23.2 Optiwiser AI Solutions Business Overview
- 12.23.3 Optiwiser AI Solutions Revenue in AI-Powered Supply Chain Planning Software Business (2021-2026)
- 12.23.4 Optiwiser AI Solutions AI-Powered Supply Chain Planning Software Product Portfolio
- 12.23.5 Optiwiser AI Solutions Recent Developments
- 12.24 Firstshift
- 12.24.1 Firstshift Company Information
- 12.24.2 Firstshift Business Overview
- 12.24.3 Firstshift Revenue in AI-Powered Supply Chain Planning Software Business (2021-2026)
- 12.24.4 Firstshift AI-Powered Supply Chain Planning Software Product Portfolio
- 12.24.5 Firstshift Recent Developments
13 Report Conclusion
14 Disclaimer
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