The global AI-Powered Supply Chain Planning Software market size is expected to reach $ million by 2030, rising at a market growth of % CAGR during the forecast period (2024-2030).
The market for AI-Powered Supply Chain Planning Software has been experiencing significant growth, fueled by the increasing recognition of artificial intelligence's transformative potential in optimizing supply chain operations. The market status indicates a rising adoption of these software solutions across industries seeking to enhance efficiency, reduce costs, and mitigate risks in their supply chain processes. Market drivers include the growing complexity of global supply chains, the need for real-time decision-making, and the desire for predictive analytics to address disruptions and uncertainties. Future development trends in the AI-Powered Supply Chain Planning Software market are anticipated to focus on further integration of advanced analytics, machine learning, and prescriptive capabilities. Enhanced visibility, collaboration, and demand forecasting accuracy may become key areas of innovation. The use of AI to optimize inventory management, streamline logistics, and improve demand-supply matching is expected to advance. However, potential inhibitors may include concerns related to data security, the complexity of implementing AI solutions, and the initial investment required for adoption. The overall trajectory suggests continued growth, driven by the ongoing digital transformation of supply chain management and the quest for resilient, agile, and data-driven approaches.
AI-Powered Supply Chain Planning Software refers to advanced technological solutions that leverage artificial intelligence (AI) algorithms and machine learning capabilities to optimize and streamline various aspects of supply chain management. This software is designed to enhance decision-making processes, improve efficiency, and mitigate risks within the supply chain by analyzing vast amounts of data and generating actionable insights. It encompasses functionalities such as demand forecasting, inventory optimization, logistics planning, and supplier management, utilizing AI algorithms to adapt to changing market conditions, anticipate demand fluctuations, and identify opportunities for operational improvements. The software aims to provide organizations with real-time visibility into their supply chain, facilitating proactive decision-making and enabling businesses to respond swiftly to disruptions. The AI-powered elements contribute to enhanced predictive analytics, allowing for more accurate demand forecasts and optimized resource allocation. Overall, AI-Powered Supply Chain Planning Software plays a crucial role in modernizing supply chain operations, fostering agility, resilience, and efficiency in the face of dynamic market conditions.
This report studies the global AI-Powered Supply Chain Planning Software demand, key companies, and key regions.
This report is a detailed and comprehensive analysis of the world market for AI-Powered Supply Chain Planning Software, and provides market size (US$ million) and Year-over-Year (YoY) growth, considering 2023 as the base year. This report explores demand trends and competition, as well as details the characteristics of AI-Powered Supply Chain Planning Software that contribute to its increasing demand across many markets.
Highlights and key features of the study
Global AI-Powered Supply Chain Planning Software total market, 2019-2030, (USD Million)
Global AI-Powered Supply Chain Planning Software total market by region & country, CAGR, 2019-2030, (USD Million)
U.S. VS China: AI-Powered Supply Chain Planning Software total market, key domestic companies and share, (USD Million)
Global AI-Powered Supply Chain Planning Software revenue by player and market share 2019-2024, (USD Million)
Global AI-Powered Supply Chain Planning Software total market by Type, CAGR, 2019-2030, (USD Million)
Global AI-Powered Supply Chain Planning Software total market by Application, CAGR, 2019-2030, (USD Million).
This reports profiles major players in the global AI-Powered Supply Chain Planning Software market based on the following parameters 鈥� company overview, revenue, gross margin, product portfolio, geographical presence, and key developments. Key companies covered as a part of this study include Magaya, Logility, IBM, Solvoyo, LLamasoft, ThroughPut, Blue Yonder, Advanced Supply Chain Group and Algo, etc.
This report also provides key insights about market drivers, restraints, opportunities, new product launches or approvals.
Stakeholders would have ease in decision-making through various strategy matrices used in analyzing the World AI-Powered Supply Chain Planning Software market.
Detailed Segmentation:
Each section contains quantitative market data including market by value (US$ Millions), by player, by regions, by Type, and by Application. Data is given for the years 2019-2030 by year with 2023 as the base year, 2024 as the estimate year, and 2025-2030 as the forecast year.
Global AI-Powered Supply Chain Planning Software Market, By Region:
United States
China
Europe
Japan
South Korea
ASEAN
India
Rest of World
Global AI-Powered Supply Chain Planning Software Market, Segmentation by Type
On Premises
Cloud-based
Global AI-Powered Supply Chain Planning Software Market, Segmentation by Application
SMEs
Large Enterprises
Companies Profiled:
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
Key Questions Answered
1. How big is the global AI-Powered Supply Chain Planning Software market?
2. What is the demand of the global AI-Powered Supply Chain Planning Software market?
3. What is the year over year growth of the global AI-Powered Supply Chain Planning Software market?
4. What is the total value of the global AI-Powered Supply Chain Planning Software market?
5. Who are the major players in the global AI-Powered Supply Chain Planning Software market?
Please Note - This is an on demand report and will be delivered in 2 business days (48 Hours) post payment.
1 Supply Summary
1.1 AI-Powered Supply Chain Planning Software Introduction
1.2 World AI-Powered Supply Chain Planning Software Market Size & Forecast (2019 & 2023 & 2030)
1.3 World AI-Powered Supply Chain Planning Software Total Market by Region (by Headquarter Location)
1.3.1 World AI-Powered Supply Chain Planning Software Market Size by Region (2019-2030), (by Headquarter Location)
1.3.2 United States AI-Powered Supply Chain Planning Software Market Size (2019-2030)
1.3.3 China AI-Powered Supply Chain Planning Software Market Size (2019-2030)
1.3.4 Europe AI-Powered Supply Chain Planning Software Market Size (2019-2030)
1.3.5 Japan AI-Powered Supply Chain Planning Software Market Size (2019-2030)
1.3.6 South Korea AI-Powered Supply Chain Planning Software Market Size (2019-2030)
1.3.7 ASEAN AI-Powered Supply Chain Planning Software Market Size (2019-2030)
1.3.8 India AI-Powered Supply Chain Planning Software Market Size (2019-2030)
1.4 Market Drivers, Restraints and Trends
1.4.1 AI-Powered Supply Chain Planning Software Market Drivers
1.4.2 Factors Affecting Demand
1.4.3 AI-Powered Supply Chain Planning Software Major Market Trends
2 Demand Summary
2.1 World AI-Powered Supply Chain Planning Software Consumption Value (2019-2030)
2.2 World AI-Powered Supply Chain Planning Software Consumption Value by Region
2.2.1 World AI-Powered Supply Chain Planning Software Consumption Value by Region (2019-2024)
2.2.2 World AI-Powered Supply Chain Planning Software Consumption Value Forecast by Region (2025-2030)
2.3 United States AI-Powered Supply Chain Planning Software Consumption Value (2019-2030)
2.4 China AI-Powered Supply Chain Planning Software Consumption Value (2019-2030)
2.5 Europe AI-Powered Supply Chain Planning Software Consumption Value (2019-2030)
2.6 Japan AI-Powered Supply Chain Planning Software Consumption Value (2019-2030)
2.7 South Korea AI-Powered Supply Chain Planning Software Consumption Value (2019-2030)
2.8 ASEAN AI-Powered Supply Chain Planning Software Consumption Value (2019-2030)
2.9 India AI-Powered Supply Chain Planning Software Consumption Value (2019-2030)
3 World AI-Powered Supply Chain Planning Software Companies Competitive Analysis
3.1 World AI-Powered Supply Chain Planning Software Revenue by Player (2019-2024)
3.2 Industry Rank and Concentration Rate (CR)
3.2.1 Global AI-Powered Supply Chain Planning Software Industry Rank of Major Players
3.2.2 Global Concentration Ratios (CR4) for AI-Powered Supply Chain Planning Software in 2023
3.2.3 Global Concentration Ratios (CR8) for AI-Powered Supply Chain Planning Software in 2023
3.3 AI-Powered Supply Chain Planning Software Company Evaluation Quadrant
3.4 AI-Powered Supply Chain Planning Software Market: Overall Company Footprint Analysis
3.4.1 AI-Powered Supply Chain Planning Software Market: Region Footprint
3.4.2 AI-Powered Supply Chain Planning Software Market: Company Product Type Footprint
3.4.3 AI-Powered Supply Chain Planning Software Market: Company Product Application Footprint
3.5 Competitive Environment
3.5.1 Historical Structure of the Industry
3.5.2 Barriers of Market Entry
3.5.3 Factors of Competition
3.6 Mergers, Acquisitions Activity
4 United States VS China VS Rest of the World (by Headquarter Location)
4.1 United States VS China: AI-Powered Supply Chain Planning Software Revenue Comparison (by Headquarter Location)
4.1.1 United States VS China: AI-Powered Supply Chain Planning Software Market Size Comparison (2019 & 2023 & 2030) (by Headquarter Location)
4.1.2 United States VS China: AI-Powered Supply Chain Planning Software Revenue Market Share Comparison (2019 & 2023 & 2030)
4.2 United States Based Companies VS China Based Companies: AI-Powered Supply Chain Planning Software Consumption Value Comparison
4.2.1 United States VS China: AI-Powered Supply Chain Planning Software Consumption Value Comparison (2019 & 2023 & 2030)
4.2.2 United States VS China: AI-Powered Supply Chain Planning Software Consumption Value Market Share Comparison (2019 & 2023 & 2030)
4.3 United States Based AI-Powered Supply Chain Planning Software Companies and Market Share, 2019-2024
4.3.1 United States Based AI-Powered Supply Chain Planning Software Companies, Headquarters (States, Country)
4.3.2 United States Based Companies AI-Powered Supply Chain Planning Software Revenue, (2019-2024)
4.4 China Based Companies AI-Powered Supply Chain Planning Software Revenue and Market Share, 2019-2024
4.4.1 China Based AI-Powered Supply Chain Planning Software Companies, Company Headquarters (Province, Country)
4.4.2 China Based Companies AI-Powered Supply Chain Planning Software Revenue, (2019-2024)
4.5 Rest of World Based AI-Powered Supply Chain Planning Software Companies and Market Share, 2019-2024
4.5.1 Rest of World Based AI-Powered Supply Chain Planning Software Companies, Headquarters (States, Country)
4.5.2 Rest of World Based Companies AI-Powered Supply Chain Planning Software Revenue, (2019-2024)
5 Market Analysis by Type
5.1 World AI-Powered Supply Chain Planning Software Market Size Overview by Type: 2019 VS 2023 VS 2030
5.2 Segment Introduction by Type
5.2.1 On Premises
5.2.2 Cloud-based
5.3 Market Segment by Type
5.3.1 World AI-Powered Supply Chain Planning Software Market Size by Type (2019-2024)
5.3.2 World AI-Powered Supply Chain Planning Software Market Size by Type (2025-2030)
5.3.3 World AI-Powered Supply Chain Planning Software Market Size Market Share by Type (2019-2030)
6 Market Analysis by Application
6.1 World AI-Powered Supply Chain Planning Software Market Size Overview by Application: 2019 VS 2023 VS 2030
6.2 Segment Introduction by Application
6.2.1 SMEs
6.2.2 Large Enterprises
6.3 Market Segment by Application
6.3.1 World AI-Powered Supply Chain Planning Software Market Size by Application (2019-2024)
6.3.2 World AI-Powered Supply Chain Planning Software Market Size by Application (2025-2030)
6.3.3 World AI-Powered Supply Chain Planning Software Market Size by Application (2019-2030)
7 Company Profiles
7.1 Magaya
7.1.1 Magaya Details
7.1.2 Magaya Major Business
7.1.3 Magaya AI-Powered Supply Chain Planning Software Product and Services
7.1.4 Magaya AI-Powered Supply Chain Planning Software Revenue, Gross Margin and Market Share (2019-2024)
7.1.5 Magaya Recent Developments/Updates
7.1.6 Magaya Competitive Strengths & Weaknesses
7.2 Logility
7.2.1 Logility Details
7.2.2 Logility Major Business
7.2.3 Logility AI-Powered Supply Chain Planning Software Product and Services
7.2.4 Logility AI-Powered Supply Chain Planning Software Revenue, Gross Margin and Market Share (2019-2024)
7.2.5 Logility Recent Developments/Updates
7.2.6 Logility Competitive Strengths & Weaknesses
7.3 IBM
7.3.1 IBM Details
7.3.2 IBM Major Business
7.3.3 IBM AI-Powered Supply Chain Planning Software Product and Services
7.3.4 IBM AI-Powered Supply Chain Planning Software Revenue, Gross Margin and Market Share (2019-2024)
7.3.5 IBM Recent Developments/Updates
7.3.6 IBM Competitive Strengths & Weaknesses
7.4 Solvoyo
7.4.1 Solvoyo Details
7.4.2 Solvoyo Major Business
7.4.3 Solvoyo AI-Powered Supply Chain Planning Software Product and Services
7.4.4 Solvoyo AI-Powered Supply Chain Planning Software Revenue, Gross Margin and Market Share (2019-2024)
7.4.5 Solvoyo Recent Developments/Updates
7.4.6 Solvoyo Competitive Strengths & Weaknesses
7.5 LLamasoft
7.5.1 LLamasoft Details
7.5.2 LLamasoft Major Business
7.5.3 LLamasoft AI-Powered Supply Chain Planning Software Product and Services
7.5.4 LLamasoft AI-Powered Supply Chain Planning Software Revenue, Gross Margin and Market Share (2019-2024)
7.5.5 LLamasoft Recent Developments/Updates
7.5.6 LLamasoft Competitive Strengths & Weaknesses
7.6 ThroughPut
7.6.1 ThroughPut Details
7.6.2 ThroughPut Major Business
7.6.3 ThroughPut AI-Powered Supply Chain Planning Software Product and Services
7.6.4 ThroughPut AI-Powered Supply Chain Planning Software Revenue, Gross Margin and Market Share (2019-2024)
7.6.5 ThroughPut Recent Developments/Updates
7.6.6 ThroughPut Competitive Strengths & Weaknesses
7.7 Blue Yonder
7.7.1 Blue Yonder Details
7.7.2 Blue Yonder Major Business
7.7.3 Blue Yonder AI-Powered Supply Chain Planning Software Product and Services
7.7.4 Blue Yonder AI-Powered Supply Chain Planning Software Revenue, Gross Margin and Market Share (2019-2024)
7.7.5 Blue Yonder Recent Developments/Updates
7.7.6 Blue Yonder Competitive Strengths & Weaknesses
7.8 Advanced Supply Chain Group
7.8.1 Advanced Supply Chain Group Details
7.8.2 Advanced Supply Chain Group Major Business
7.8.3 Advanced Supply Chain Group AI-Powered Supply Chain Planning Software Product and Services
7.8.4 Advanced Supply Chain Group AI-Powered Supply Chain Planning Software Revenue, Gross Margin and Market Share (2019-2024)
7.8.5 Advanced Supply Chain Group Recent Developments/Updates
7.8.6 Advanced Supply Chain Group Competitive Strengths & Weaknesses
7.9 Algo
7.9.1 Algo Details
7.9.2 Algo Major Business
7.9.3 Algo AI-Powered Supply Chain Planning Software Product and Services
7.9.4 Algo AI-Powered Supply Chain Planning Software Revenue, Gross Margin and Market Share (2019-2024)
7.9.5 Algo Recent Developments/Updates
7.9.6 Algo Competitive Strengths & Weaknesses
7.10 Agatha
7.10.1 Agatha Details
7.10.2 Agatha Major Business
7.10.3 Agatha AI-Powered Supply Chain Planning Software Product and Services
7.10.4 Agatha AI-Powered Supply Chain Planning Software Revenue, Gross Margin and Market Share (2019-2024)
7.10.5 Agatha Recent Developments/Updates
7.10.6 Agatha Competitive Strengths & Weaknesses
7.11 SAP Ariba
7.11.1 SAP Ariba Details
7.11.2 SAP Ariba Major Business
7.11.3 SAP Ariba AI-Powered Supply Chain Planning Software Product and Services
7.11.4 SAP Ariba AI-Powered Supply Chain Planning Software Revenue, Gross Margin and Market Share (2019-2024)
7.11.5 SAP Ariba Recent Developments/Updates
7.11.6 SAP Ariba Competitive Strengths & Weaknesses
7.12 Kinaxis
7.12.1 Kinaxis Details
7.12.2 Kinaxis Major Business
7.12.3 Kinaxis AI-Powered Supply Chain Planning Software Product and Services
7.12.4 Kinaxis AI-Powered Supply Chain Planning Software Revenue, Gross Margin and Market Share (2019-2024)
7.12.5 Kinaxis Recent Developments/Updates
7.12.6 Kinaxis Competitive Strengths & Weaknesses
7.13 o9 Solutions
7.13.1 o9 Solutions Details
7.13.2 o9 Solutions Major Business
7.13.3 o9 Solutions AI-Powered Supply Chain Planning Software Product and Services
7.13.4 o9 Solutions AI-Powered Supply Chain Planning Software Revenue, Gross Margin and Market Share (2019-2024)
7.13.5 o9 Solutions Recent Developments/Updates
7.13.6 o9 Solutions Competitive Strengths & Weaknesses
7.14 e2open
7.14.1 e2open Details
7.14.2 e2open Major Business
7.14.3 e2open AI-Powered Supply Chain Planning Software Product and Services
7.14.4 e2open AI-Powered Supply Chain Planning Software Revenue, Gross Margin and Market Share (2019-2024)
7.14.5 e2open Recent Developments/Updates
7.14.6 e2open Competitive Strengths & Weaknesses
7.15 FourKites
7.15.1 FourKites Details
7.15.2 FourKites Major Business
7.15.3 FourKites AI-Powered Supply Chain Planning Software Product and Services
7.15.4 FourKites AI-Powered Supply Chain Planning Software Revenue, Gross Margin and Market Share (2019-2024)
7.15.5 FourKites Recent Developments/Updates
7.15.6 FourKites Competitive Strengths & Weaknesses
7.16 Vuealta
7.16.1 Vuealta Details
7.16.2 Vuealta Major Business
7.16.3 Vuealta AI-Powered Supply Chain Planning Software Product and Services
7.16.4 Vuealta AI-Powered Supply Chain Planning Software Revenue, Gross Margin and Market Share (2019-2024)
7.16.5 Vuealta Recent Developments/Updates
7.16.6 Vuealta Competitive Strengths & Weaknesses
7.17 Oracle
7.17.1 Oracle Details
7.17.2 Oracle Major Business
7.17.3 Oracle AI-Powered Supply Chain Planning Software Product and Services
7.17.4 Oracle AI-Powered Supply Chain Planning Software Revenue, Gross Margin and Market Share (2019-2024)
7.17.5 Oracle Recent Developments/Updates
7.17.6 Oracle Competitive Strengths & Weaknesses
7.18 project44
7.18.1 project44 Details
7.18.2 project44 Major Business
7.18.3 project44 AI-Powered Supply Chain Planning Software Product and Services
7.18.4 project44 AI-Powered Supply Chain Planning Software Revenue, Gross Margin and Market Share (2019-2024)
7.18.5 project44 Recent Developments/Updates
7.18.6 project44 Competitive Strengths & Weaknesses
7.19 New Horizon
7.19.1 New Horizon Details
7.19.2 New Horizon Major Business
7.19.3 New Horizon AI-Powered Supply Chain Planning Software Product and Services
7.19.4 New Horizon AI-Powered Supply Chain Planning Software Revenue, Gross Margin and Market Share (2019-2024)
7.19.5 New Horizon Recent Developments/Updates
7.19.6 New Horizon Competitive Strengths & Weaknesses
7.20 GEP
7.20.1 GEP Details
7.20.2 GEP Major Business
7.20.3 GEP AI-Powered Supply Chain Planning Software Product and Services
7.20.4 GEP AI-Powered Supply Chain Planning Software Revenue, Gross Margin and Market Share (2019-2024)
7.20.5 GEP Recent Developments/Updates
7.20.6 GEP Competitive Strengths & Weaknesses
7.21 Optiwiser A.I.
7.21.1 Optiwiser A.I. Details
7.21.2 Optiwiser A.I. Major Business
7.21.3 Optiwiser A.I. AI-Powered Supply Chain Planning Software Product and Services
7.21.4 Optiwiser A.I. AI-Powered Supply Chain Planning Software Revenue, Gross Margin and Market Share (2019-2024)
7.21.5 Optiwiser A.I. Recent Developments/Updates
7.21.6 Optiwiser A.I. Competitive Strengths & Weaknesses
7.22 ToolsGroup
7.22.1 ToolsGroup Details
7.22.2 ToolsGroup Major Business
7.22.3 ToolsGroup AI-Powered Supply Chain Planning Software Product and Services
7.22.4 ToolsGroup AI-Powered Supply Chain Planning Software Revenue, Gross Margin and Market Share (2019-2024)
7.22.5 ToolsGroup Recent Developments/Updates
7.22.6 ToolsGroup Competitive Strengths & Weaknesses
7.23 Optiwiser AI Solutions
7.23.1 Optiwiser AI Solutions Details
7.23.2 Optiwiser AI Solutions Major Business
7.23.3 Optiwiser AI Solutions AI-Powered Supply Chain Planning Software Product and Services
7.23.4 Optiwiser AI Solutions AI-Powered Supply Chain Planning Software Revenue, Gross Margin and Market Share (2019-2024)
7.23.5 Optiwiser AI Solutions Recent Developments/Updates
7.23.6 Optiwiser AI Solutions Competitive Strengths & Weaknesses
7.24 Firstshift
7.24.1 Firstshift Details
7.24.2 Firstshift Major Business
7.24.3 Firstshift AI-Powered Supply Chain Planning Software Product and Services
7.24.4 Firstshift AI-Powered Supply Chain Planning Software Revenue, Gross Margin and Market Share (2019-2024)
7.24.5 Firstshift Recent Developments/Updates
7.24.6 Firstshift Competitive Strengths & Weaknesses
8 Industry Chain Analysis
8.1 AI-Powered Supply Chain Planning Software Industry Chain
8.2 AI-Powered Supply Chain Planning Software Upstream Analysis
8.3 AI-Powered Supply Chain Planning Software Midstream Analysis
8.4 AI-Powered Supply Chain Planning Software Downstream Analysis
9 Research Findings and Conclusion
10 Appendix
10.1 Methodology
10.2 Research Process and Data Source
10.3 Disclaimer
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
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*If Applicable.