Global AI-Powered Supply Chain Planning Software Market Growth (Status and Outlook) 2024-2030

Global AI-Powered Supply Chain Planning Software Market Growth (Status and Outlook) 2024-2030

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 global AI-Powered Supply Chain Planning Software market size is projected to grow from US$ million in 2023 to US$ million in 2030; it is expected to grow at a CAGR of % from 2024 to 2030.

LPI (LP Information)' newest research report, the “AI-Powered Supply Chain Planning Software Industry Forecast” looks at past sales and reviews total world AI-Powered Supply Chain Planning Software sales in 2023, providing a comprehensive analysis by region and market sector of projected AI-Powered Supply Chain Planning Software sales for 2024 through 2030. With AI-Powered Supply Chain Planning Software sales broken down by region, market sector and sub-sector, this report provides a detailed analysis in US$ millions of the world AI-Powered Supply Chain Planning Software industry.

This Insight Report provides a comprehensive analysis of the global AI-Powered Supply Chain Planning Software landscape and highlights key trends related to product segmentation, company formation, revenue, and market share, latest development, and M&A activity. This report also analyzes the strategies of leading global companies with a focus on AI-Powered Supply Chain Planning Software portfolios and capabilities, market entry strategies, market positions, and geographic footprints, to better understand these firms’ unique position in an accelerating global AI-Powered Supply Chain Planning Software market.

This Insight Report evaluates the key market trends, drivers, and affecting factors shaping the global outlook for AI-Powered Supply Chain Planning Software and breaks down the forecast by Type, by Application, geography, and market size to highlight emerging pockets of opportunity. With a transparent methodology based on hundreds of bottom-up qualitative and quantitative market inputs, this study forecast offers a highly nuanced view of the current state and future trajectory in the global AI-Powered Supply Chain Planning Software.

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.

This report presents a comprehensive overview, market shares, and growth opportunities of AI-Powered Supply Chain Planning Software market by product type, application, key players and key regions and countries.

Segmentation by type
On Premises
Cloud-based

Segmentation by application
SMEs
Large Enterprises

This report also splits the market by region:
Americas
United States
Canada
Mexico
Brazil
APAC
China
Japan
Korea
Southeast Asia
India
Australia
Europe
Germany
France
UK
Italy
Russia
Middle East & Africa
Egypt
South Africa
Israel
Turkey
GCC Countries

The below companies that are profiled have been selected based on inputs gathered from primary experts and analyzing the company's coverage, product portfolio, its market penetration.
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

Please note: The report will take approximately 2 business days to prepare and deliver.