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

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

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.