Global AI-Powered Supply Chain Planning Software Supply, Demand and Key Producers, 2024-2030

Global AI-Powered Supply Chain Planning Software Supply, Demand and Key Producers, 2024-2030


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 – 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?


1 Supply Summary
2 Demand Summary
3 World AI-Powered Supply Chain Planning Software Companies Competitive Analysis
4 United States VS China VS Rest of the World (by Headquarter Location)
5 Market Analysis by Type
6 Market Analysis by Application
7 Company Profiles
8 Industry Chain Analysis
9 Research Findings and Conclusion
10 Appendix

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