Report Detail

Service & Software Global AI-Powered Supply Chain Planning Software Market 2024 by Company, Regions, Type and Application, Forecast to 2030

  • RnM4576067
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  • 29 March, 2024
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  • Global
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  • 152 Pages
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  • GIR (Global Info Research)
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  • Service & Software

According to our (Global Info Research) latest study, the global AI-Powered Supply Chain Planning Software market size was valued at USD million in 2023 and is forecast to a readjusted size of USD million by 2030 with a CAGR of % during review period.
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.
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.
The Global Info Research report includes an overview of the development of the AI-Powered Supply Chain Planning Software industry chain, the market status of SMEs (On Premises, Cloud-based), Large Enterprises (On Premises, Cloud-based), and key enterprises in developed and developing market, and analysed the cutting-edge technology, patent, hot applications and market trends of AI-Powered Supply Chain Planning Software.
Regionally, the report analyzes the AI-Powered Supply Chain Planning Software markets in key regions. North America and Europe are experiencing steady growth, driven by government initiatives and increasing consumer awareness. Asia-Pacific, particularly China, leads the global AI-Powered Supply Chain Planning Software market, with robust domestic demand, supportive policies, and a strong manufacturing base.
Key Features:
The report presents comprehensive understanding of the AI-Powered Supply Chain Planning Software market. It provides a holistic view of the industry, as well as detailed insights into individual components and stakeholders. The report analysis market dynamics, trends, challenges, and opportunities within the AI-Powered Supply Chain Planning Software industry.
The report involves analyzing the market at a macro level:
Market Sizing and Segmentation: Report collect data on the overall market size, including the revenue generated, and market share of different by Type (e.g., On Premises, Cloud-based).
Industry Analysis: Report analyse the broader industry trends, such as government policies and regulations, technological advancements, consumer preferences, and market dynamics. This analysis helps in understanding the key drivers and challenges influencing the AI-Powered Supply Chain Planning Software market.
Regional Analysis: The report involves examining the AI-Powered Supply Chain Planning Software market at a regional or national level. Report analyses regional factors such as government incentives, infrastructure development, economic conditions, and consumer behaviour to identify variations and opportunities within different markets.
Market Projections: Report covers the gathered data and analysis to make future projections and forecasts for the AI-Powered Supply Chain Planning Software market. This may include estimating market growth rates, predicting market demand, and identifying emerging trends.
The report also involves a more granular approach to AI-Powered Supply Chain Planning Software:
Company Analysis: Report covers individual AI-Powered Supply Chain Planning Software players, suppliers, and other relevant industry players. This analysis includes studying their financial performance, market positioning, product portfolios, partnerships, and strategies.
Consumer Analysis: Report covers data on consumer behaviour, preferences, and attitudes towards AI-Powered Supply Chain Planning Software This may involve surveys, interviews, and analysis of consumer reviews and feedback from different by Application (SMEs, Large Enterprises).
Technology Analysis: Report covers specific technologies relevant to AI-Powered Supply Chain Planning Software. It assesses the current state, advancements, and potential future developments in AI-Powered Supply Chain Planning Software areas.
Competitive Landscape: By analyzing individual companies, suppliers, and consumers, the report present insights into the competitive landscape of the AI-Powered Supply Chain Planning Software market. This analysis helps understand market share, competitive advantages, and potential areas for differentiation among industry players.
Market Validation: The report involves validating findings and projections through primary research, such as surveys, interviews, and focus groups.
Market Segmentation
AI-Powered Supply Chain Planning Software market is split by Type and by Application. For the period 2019-2030, the growth among segments provides accurate calculations and forecasts for consumption value by Type, and by Application in terms of value.
Market segment by Type
On Premises
Cloud-based
Market segment by Application
SMEs
Large Enterprises
Market segment by players, this report covers
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
Market segment by regions, regional analysis covers
North America (United States, Canada, and Mexico)
Europe (Germany, France, UK, Russia, Italy, and Rest of Europe)
Asia-Pacific (China, Japan, South Korea, India, Southeast Asia, Australia and Rest of Asia-Pacific)
South America (Brazil, Argentina and Rest of South America)
Middle East & Africa (Turkey, Saudi Arabia, UAE, Rest of Middle East & Africa)
The content of the study subjects, includes a total of 13 chapters:
Chapter 1, to describe AI-Powered Supply Chain Planning Software product scope, market overview, market estimation caveats and base year.
Chapter 2, to profile the top players of AI-Powered Supply Chain Planning Software, with revenue, gross margin and global market share of AI-Powered Supply Chain Planning Software from 2019 to 2024.
Chapter 3, the AI-Powered Supply Chain Planning Software competitive situation, revenue and global market share of top players are analyzed emphatically by landscape contrast.
Chapter 4 and 5, to segment the market size by Type and application, with consumption value and growth rate by Type, application, from 2019 to 2030.
Chapter 6, 7, 8, 9, and 10, to break the market size data at the country level, with revenue and market share for key countries in the world, from 2019 to 2024.and AI-Powered Supply Chain Planning Software market forecast, by regions, type and application, with consumption value, from 2025 to 2030.
Chapter 11, market dynamics, drivers, restraints, trends and Porters Five Forces analysis.
Chapter 12, the key raw materials and key suppliers, and industry chain of AI-Powered Supply Chain Planning Software.
Chapter 13, to describe AI-Powered Supply Chain Planning Software research findings and conclusion.


1 Market Overview

  • 1.1 Product Overview and Scope of AI-Powered Supply Chain Planning Software
  • 1.2 Market Estimation Caveats and Base Year
  • 1.3 Classification of AI-Powered Supply Chain Planning Software by Type
    • 1.3.1 Overview: Global AI-Powered Supply Chain Planning Software Market Size by Type: 2019 Versus 2023 Versus 2030
    • 1.3.2 Global AI-Powered Supply Chain Planning Software Consumption Value Market Share by Type in 2023
    • 1.3.3 On Premises
    • 1.3.4 Cloud-based
  • 1.4 Global AI-Powered Supply Chain Planning Software Market by Application
    • 1.4.1 Overview: Global AI-Powered Supply Chain Planning Software Market Size by Application: 2019 Versus 2023 Versus 2030
    • 1.4.2 SMEs
    • 1.4.3 Large Enterprises
  • 1.5 Global AI-Powered Supply Chain Planning Software Market Size & Forecast
  • 1.6 Global AI-Powered Supply Chain Planning Software Market Size and Forecast by Region
    • 1.6.1 Global AI-Powered Supply Chain Planning Software Market Size by Region: 2019 VS 2023 VS 2030
    • 1.6.2 Global AI-Powered Supply Chain Planning Software Market Size by Region, (2019-2030)
    • 1.6.3 North America AI-Powered Supply Chain Planning Software Market Size and Prospect (2019-2030)
    • 1.6.4 Europe AI-Powered Supply Chain Planning Software Market Size and Prospect (2019-2030)
    • 1.6.5 Asia-Pacific AI-Powered Supply Chain Planning Software Market Size and Prospect (2019-2030)
    • 1.6.6 South America AI-Powered Supply Chain Planning Software Market Size and Prospect (2019-2030)
    • 1.6.7 Middle East and Africa AI-Powered Supply Chain Planning Software Market Size and Prospect (2019-2030)

2 Company Profiles

  • 2.1 Magaya
    • 2.1.1 Magaya Details
    • 2.1.2 Magaya Major Business
    • 2.1.3 Magaya AI-Powered Supply Chain Planning Software Product and Solutions
    • 2.1.4 Magaya AI-Powered Supply Chain Planning Software Revenue, Gross Margin and Market Share (2019-2024)
    • 2.1.5 Magaya Recent Developments and Future Plans
  • 2.2 Logility
    • 2.2.1 Logility Details
    • 2.2.2 Logility Major Business
    • 2.2.3 Logility AI-Powered Supply Chain Planning Software Product and Solutions
    • 2.2.4 Logility AI-Powered Supply Chain Planning Software Revenue, Gross Margin and Market Share (2019-2024)
    • 2.2.5 Logility Recent Developments and Future Plans
  • 2.3 IBM
    • 2.3.1 IBM Details
    • 2.3.2 IBM Major Business
    • 2.3.3 IBM AI-Powered Supply Chain Planning Software Product and Solutions
    • 2.3.4 IBM AI-Powered Supply Chain Planning Software Revenue, Gross Margin and Market Share (2019-2024)
    • 2.3.5 IBM Recent Developments and Future Plans
  • 2.4 Solvoyo
    • 2.4.1 Solvoyo Details
    • 2.4.2 Solvoyo Major Business
    • 2.4.3 Solvoyo AI-Powered Supply Chain Planning Software Product and Solutions
    • 2.4.4 Solvoyo AI-Powered Supply Chain Planning Software Revenue, Gross Margin and Market Share (2019-2024)
    • 2.4.5 Solvoyo Recent Developments and Future Plans
  • 2.5 LLamasoft
    • 2.5.1 LLamasoft Details
    • 2.5.2 LLamasoft Major Business
    • 2.5.3 LLamasoft AI-Powered Supply Chain Planning Software Product and Solutions
    • 2.5.4 LLamasoft AI-Powered Supply Chain Planning Software Revenue, Gross Margin and Market Share (2019-2024)
    • 2.5.5 LLamasoft Recent Developments and Future Plans
  • 2.6 ThroughPut
    • 2.6.1 ThroughPut Details
    • 2.6.2 ThroughPut Major Business
    • 2.6.3 ThroughPut AI-Powered Supply Chain Planning Software Product and Solutions
    • 2.6.4 ThroughPut AI-Powered Supply Chain Planning Software Revenue, Gross Margin and Market Share (2019-2024)
    • 2.6.5 ThroughPut Recent Developments and Future Plans
  • 2.7 Blue Yonder
    • 2.7.1 Blue Yonder Details
    • 2.7.2 Blue Yonder Major Business
    • 2.7.3 Blue Yonder AI-Powered Supply Chain Planning Software Product and Solutions
    • 2.7.4 Blue Yonder AI-Powered Supply Chain Planning Software Revenue, Gross Margin and Market Share (2019-2024)
    • 2.7.5 Blue Yonder Recent Developments and Future Plans
  • 2.8 Advanced Supply Chain Group
    • 2.8.1 Advanced Supply Chain Group Details
    • 2.8.2 Advanced Supply Chain Group Major Business
    • 2.8.3 Advanced Supply Chain Group AI-Powered Supply Chain Planning Software Product and Solutions
    • 2.8.4 Advanced Supply Chain Group AI-Powered Supply Chain Planning Software Revenue, Gross Margin and Market Share (2019-2024)
    • 2.8.5 Advanced Supply Chain Group Recent Developments and Future Plans
  • 2.9 Algo
    • 2.9.1 Algo Details
    • 2.9.2 Algo Major Business
    • 2.9.3 Algo AI-Powered Supply Chain Planning Software Product and Solutions
    • 2.9.4 Algo AI-Powered Supply Chain Planning Software Revenue, Gross Margin and Market Share (2019-2024)
    • 2.9.5 Algo Recent Developments and Future Plans
  • 2.10 Agatha
    • 2.10.1 Agatha Details
    • 2.10.2 Agatha Major Business
    • 2.10.3 Agatha AI-Powered Supply Chain Planning Software Product and Solutions
    • 2.10.4 Agatha AI-Powered Supply Chain Planning Software Revenue, Gross Margin and Market Share (2019-2024)
    • 2.10.5 Agatha Recent Developments and Future Plans
  • 2.11 SAP Ariba
    • 2.11.1 SAP Ariba Details
    • 2.11.2 SAP Ariba Major Business
    • 2.11.3 SAP Ariba AI-Powered Supply Chain Planning Software Product and Solutions
    • 2.11.4 SAP Ariba AI-Powered Supply Chain Planning Software Revenue, Gross Margin and Market Share (2019-2024)
    • 2.11.5 SAP Ariba Recent Developments and Future Plans
  • 2.12 Kinaxis
    • 2.12.1 Kinaxis Details
    • 2.12.2 Kinaxis Major Business
    • 2.12.3 Kinaxis AI-Powered Supply Chain Planning Software Product and Solutions
    • 2.12.4 Kinaxis AI-Powered Supply Chain Planning Software Revenue, Gross Margin and Market Share (2019-2024)
    • 2.12.5 Kinaxis Recent Developments and Future Plans
  • 2.13 o9 Solutions
    • 2.13.1 o9 Solutions Details
    • 2.13.2 o9 Solutions Major Business
    • 2.13.3 o9 Solutions AI-Powered Supply Chain Planning Software Product and Solutions
    • 2.13.4 o9 Solutions AI-Powered Supply Chain Planning Software Revenue, Gross Margin and Market Share (2019-2024)
    • 2.13.5 o9 Solutions Recent Developments and Future Plans
  • 2.14 e2open
    • 2.14.1 e2open Details
    • 2.14.2 e2open Major Business
    • 2.14.3 e2open AI-Powered Supply Chain Planning Software Product and Solutions
    • 2.14.4 e2open AI-Powered Supply Chain Planning Software Revenue, Gross Margin and Market Share (2019-2024)
    • 2.14.5 e2open Recent Developments and Future Plans
  • 2.15 FourKites
    • 2.15.1 FourKites Details
    • 2.15.2 FourKites Major Business
    • 2.15.3 FourKites AI-Powered Supply Chain Planning Software Product and Solutions
    • 2.15.4 FourKites AI-Powered Supply Chain Planning Software Revenue, Gross Margin and Market Share (2019-2024)
    • 2.15.5 FourKites Recent Developments and Future Plans
  • 2.16 Vuealta
    • 2.16.1 Vuealta Details
    • 2.16.2 Vuealta Major Business
    • 2.16.3 Vuealta AI-Powered Supply Chain Planning Software Product and Solutions
    • 2.16.4 Vuealta AI-Powered Supply Chain Planning Software Revenue, Gross Margin and Market Share (2019-2024)
    • 2.16.5 Vuealta Recent Developments and Future Plans
  • 2.17 Oracle
    • 2.17.1 Oracle Details
    • 2.17.2 Oracle Major Business
    • 2.17.3 Oracle AI-Powered Supply Chain Planning Software Product and Solutions
    • 2.17.4 Oracle AI-Powered Supply Chain Planning Software Revenue, Gross Margin and Market Share (2019-2024)
    • 2.17.5 Oracle Recent Developments and Future Plans
  • 2.18 project44
    • 2.18.1 project44 Details
    • 2.18.2 project44 Major Business
    • 2.18.3 project44 AI-Powered Supply Chain Planning Software Product and Solutions
    • 2.18.4 project44 AI-Powered Supply Chain Planning Software Revenue, Gross Margin and Market Share (2019-2024)
    • 2.18.5 project44 Recent Developments and Future Plans
  • 2.19 New Horizon
    • 2.19.1 New Horizon Details
    • 2.19.2 New Horizon Major Business
    • 2.19.3 New Horizon AI-Powered Supply Chain Planning Software Product and Solutions
    • 2.19.4 New Horizon AI-Powered Supply Chain Planning Software Revenue, Gross Margin and Market Share (2019-2024)
    • 2.19.5 New Horizon Recent Developments and Future Plans
  • 2.20 GEP
    • 2.20.1 GEP Details
    • 2.20.2 GEP Major Business
    • 2.20.3 GEP AI-Powered Supply Chain Planning Software Product and Solutions
    • 2.20.4 GEP AI-Powered Supply Chain Planning Software Revenue, Gross Margin and Market Share (2019-2024)
    • 2.20.5 GEP Recent Developments and Future Plans
  • 2.21 Optiwiser A.I.
    • 2.21.1 Optiwiser A.I. Details
    • 2.21.2 Optiwiser A.I. Major Business
    • 2.21.3 Optiwiser A.I. AI-Powered Supply Chain Planning Software Product and Solutions
    • 2.21.4 Optiwiser A.I. AI-Powered Supply Chain Planning Software Revenue, Gross Margin and Market Share (2019-2024)
    • 2.21.5 Optiwiser A.I. Recent Developments and Future Plans
  • 2.22 ToolsGroup
    • 2.22.1 ToolsGroup Details
    • 2.22.2 ToolsGroup Major Business
    • 2.22.3 ToolsGroup AI-Powered Supply Chain Planning Software Product and Solutions
    • 2.22.4 ToolsGroup AI-Powered Supply Chain Planning Software Revenue, Gross Margin and Market Share (2019-2024)
    • 2.22.5 ToolsGroup Recent Developments and Future Plans
  • 2.23 Optiwiser AI Solutions
    • 2.23.1 Optiwiser AI Solutions Details
    • 2.23.2 Optiwiser AI Solutions Major Business
    • 2.23.3 Optiwiser AI Solutions AI-Powered Supply Chain Planning Software Product and Solutions
    • 2.23.4 Optiwiser AI Solutions AI-Powered Supply Chain Planning Software Revenue, Gross Margin and Market Share (2019-2024)
    • 2.23.5 Optiwiser AI Solutions Recent Developments and Future Plans
  • 2.24 Firstshift
    • 2.24.1 Firstshift Details
    • 2.24.2 Firstshift Major Business
    • 2.24.3 Firstshift AI-Powered Supply Chain Planning Software Product and Solutions
    • 2.24.4 Firstshift AI-Powered Supply Chain Planning Software Revenue, Gross Margin and Market Share (2019-2024)
    • 2.24.5 Firstshift Recent Developments and Future Plans

3 Market Competition, by Players

  • 3.1 Global AI-Powered Supply Chain Planning Software Revenue and Share by Players (2019-2024)
  • 3.2 Market Share Analysis (2023)
    • 3.2.1 Market Share of AI-Powered Supply Chain Planning Software by Company Revenue
    • 3.2.2 Top 3 AI-Powered Supply Chain Planning Software Players Market Share in 2023
    • 3.2.3 Top 6 AI-Powered Supply Chain Planning Software Players Market Share in 2023
  • 3.3 AI-Powered Supply Chain Planning Software Market: Overall Company Footprint Analysis
    • 3.3.1 AI-Powered Supply Chain Planning Software Market: Region Footprint
    • 3.3.2 AI-Powered Supply Chain Planning Software Market: Company Product Type Footprint
    • 3.3.3 AI-Powered Supply Chain Planning Software Market: Company Product Application Footprint
  • 3.4 New Market Entrants and Barriers to Market Entry
  • 3.5 Mergers, Acquisition, Agreements, and Collaborations

4 Market Size Segment by Type

  • 4.1 Global AI-Powered Supply Chain Planning Software Consumption Value and Market Share by Type (2019-2024)
  • 4.2 Global AI-Powered Supply Chain Planning Software Market Forecast by Type (2025-2030)

5 Market Size Segment by Application

  • 5.1 Global AI-Powered Supply Chain Planning Software Consumption Value Market Share by Application (2019-2024)
  • 5.2 Global AI-Powered Supply Chain Planning Software Market Forecast by Application (2025-2030)

6 North America

  • 6.1 North America AI-Powered Supply Chain Planning Software Consumption Value by Type (2019-2030)
  • 6.2 North America AI-Powered Supply Chain Planning Software Consumption Value by Application (2019-2030)
  • 6.3 North America AI-Powered Supply Chain Planning Software Market Size by Country
    • 6.3.1 North America AI-Powered Supply Chain Planning Software Consumption Value by Country (2019-2030)
    • 6.3.2 United States AI-Powered Supply Chain Planning Software Market Size and Forecast (2019-2030)
    • 6.3.3 Canada AI-Powered Supply Chain Planning Software Market Size and Forecast (2019-2030)
    • 6.3.4 Mexico AI-Powered Supply Chain Planning Software Market Size and Forecast (2019-2030)

7 Europe

  • 7.1 Europe AI-Powered Supply Chain Planning Software Consumption Value by Type (2019-2030)
  • 7.2 Europe AI-Powered Supply Chain Planning Software Consumption Value by Application (2019-2030)
  • 7.3 Europe AI-Powered Supply Chain Planning Software Market Size by Country
    • 7.3.1 Europe AI-Powered Supply Chain Planning Software Consumption Value by Country (2019-2030)
    • 7.3.2 Germany AI-Powered Supply Chain Planning Software Market Size and Forecast (2019-2030)
    • 7.3.3 France AI-Powered Supply Chain Planning Software Market Size and Forecast (2019-2030)
    • 7.3.4 United Kingdom AI-Powered Supply Chain Planning Software Market Size and Forecast (2019-2030)
    • 7.3.5 Russia AI-Powered Supply Chain Planning Software Market Size and Forecast (2019-2030)
    • 7.3.6 Italy AI-Powered Supply Chain Planning Software Market Size and Forecast (2019-2030)

8 Asia-Pacific

  • 8.1 Asia-Pacific AI-Powered Supply Chain Planning Software Consumption Value by Type (2019-2030)
  • 8.2 Asia-Pacific AI-Powered Supply Chain Planning Software Consumption Value by Application (2019-2030)
  • 8.3 Asia-Pacific AI-Powered Supply Chain Planning Software Market Size by Region
    • 8.3.1 Asia-Pacific AI-Powered Supply Chain Planning Software Consumption Value by Region (2019-2030)
    • 8.3.2 China AI-Powered Supply Chain Planning Software Market Size and Forecast (2019-2030)
    • 8.3.3 Japan AI-Powered Supply Chain Planning Software Market Size and Forecast (2019-2030)
    • 8.3.4 South Korea AI-Powered Supply Chain Planning Software Market Size and Forecast (2019-2030)
    • 8.3.5 India AI-Powered Supply Chain Planning Software Market Size and Forecast (2019-2030)
    • 8.3.6 Southeast Asia AI-Powered Supply Chain Planning Software Market Size and Forecast (2019-2030)
    • 8.3.7 Australia AI-Powered Supply Chain Planning Software Market Size and Forecast (2019-2030)

9 South America

  • 9.1 South America AI-Powered Supply Chain Planning Software Consumption Value by Type (2019-2030)
  • 9.2 South America AI-Powered Supply Chain Planning Software Consumption Value by Application (2019-2030)
  • 9.3 South America AI-Powered Supply Chain Planning Software Market Size by Country
    • 9.3.1 South America AI-Powered Supply Chain Planning Software Consumption Value by Country (2019-2030)
    • 9.3.2 Brazil AI-Powered Supply Chain Planning Software Market Size and Forecast (2019-2030)
    • 9.3.3 Argentina AI-Powered Supply Chain Planning Software Market Size and Forecast (2019-2030)

10 Middle East & Africa

  • 10.1 Middle East & Africa AI-Powered Supply Chain Planning Software Consumption Value by Type (2019-2030)
  • 10.2 Middle East & Africa AI-Powered Supply Chain Planning Software Consumption Value by Application (2019-2030)
  • 10.3 Middle East & Africa AI-Powered Supply Chain Planning Software Market Size by Country
    • 10.3.1 Middle East & Africa AI-Powered Supply Chain Planning Software Consumption Value by Country (2019-2030)
    • 10.3.2 Turkey AI-Powered Supply Chain Planning Software Market Size and Forecast (2019-2030)
    • 10.3.3 Saudi Arabia AI-Powered Supply Chain Planning Software Market Size and Forecast (2019-2030)
    • 10.3.4 UAE AI-Powered Supply Chain Planning Software Market Size and Forecast (2019-2030)

11 Market Dynamics

  • 11.1 AI-Powered Supply Chain Planning Software Market Drivers
  • 11.2 AI-Powered Supply Chain Planning Software Market Restraints
  • 11.3 AI-Powered Supply Chain Planning Software Trends Analysis
  • 11.4 Porters Five Forces Analysis
    • 11.4.1 Threat of New Entrants
    • 11.4.2 Bargaining Power of Suppliers
    • 11.4.3 Bargaining Power of Buyers
    • 11.4.4 Threat of Substitutes
    • 11.4.5 Competitive Rivalry

12 Industry Chain Analysis

  • 12.1 AI-Powered Supply Chain Planning Software Industry Chain
  • 12.2 AI-Powered Supply Chain Planning Software Upstream Analysis
  • 12.3 AI-Powered Supply Chain Planning Software Midstream Analysis
  • 12.4 AI-Powered Supply Chain Planning Software Downstream Analysis

13 Research Findings and Conclusion

    14 Appendix

    • 14.1 Methodology
    • 14.2 Research Process and Data Source

    Summary:
    Get latest Market Research Reports on AI-Powered Supply Chain Planning Software. Industry analysis & Market Report on AI-Powered Supply Chain Planning Software is a syndicated market report, published as Global AI-Powered Supply Chain Planning Software Market 2024 by Company, Regions, Type and Application, Forecast to 2030. It is complete Research Study and Industry Analysis of AI-Powered Supply Chain Planning Software market, to understand, Market Demand, Growth, trends analysis and Factor Influencing market.

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