Global Supply Chain Forecasting Software Supply, Demand and Key Producers, 2026-2032

The global Supply Chain Forecasting Software market size is expected to reach $ 205 million by 2032, rising at a market growth of 5.8% CAGR during the forecast period (2026-2032).

Supply Chain Forecasting Software is an intelligent system that integrates historical data, market signals, and algorithmic models to quantitatively analyze and visualize future product demand. Its core utilizes statistical analysis and machine learning techniques to transform massive amounts of internal and external data into accurate sales forecasts, guiding collaborative decision-making across all links of the supply chain. It aims to solve the fundamental pain point of severe imbalances between supply and demand caused by "guessing based on experience," directly addressing issues such as wasted funds, lost sales, low production efficiency, and decreased customer satisfaction resulting from inventory backlogs or stockouts. It is the core engine for achieving a lean and agile supply chain and improving overall operational efficiency.

The global Supply Chain Forecasting Software market exhibits a significant regional differentiation pattern: "deepening in core markets and catching up in emerging markets." North America and Europe constitute the absolute core of the market, dominated by giants such as SAP, Blue Yonder, and Kinaxis. Demand has evolved from basic forecasting to intelligent decision-making and end-to-end control tower solutions integrating AI/ML and real-time data. The Asia-Pacific region, especially China and India, is becoming the fastest-growing engine, with local vendors (such as local AI companies) rapidly emerging, while international giants are accelerating their localization efforts. A common global trend is that software is transforming from isolated tools into the core hub for supply chain digitalization and resilience building. However, significant gaps remain between mature and emerging markets in terms of technology penetration, data infrastructure, and willingness to pay.

This report studies the global Supply Chain Forecasting Software demand, key companies, and key regions.

This report is a detailed and comprehensive analysis of the world market for Supply Chain Forecasting Software, and provides market size (US$ million) and Year-over-Year (YoY) growth, considering 2025 as the base year. This report explores demand trends and competition, as well as details the characteristics of Supply Chain Forecasting Software that contribute to its increasing demand across many markets.

Highlights and key features of the study

Global Supply Chain Forecasting Software total market, 2021-2032, (USD Million)

Global Supply Chain Forecasting Software total market by region & country, CAGR, 2021-2032, (USD Million)

U.S. VS China: Supply Chain Forecasting Software total market, key domestic companies, and share, (USD Million)

Global Supply Chain Forecasting Software revenue by player, revenue and market share 2021-2026, (USD Million)

Global Supply Chain Forecasting Software total market by Type, CAGR, 2021-2032, (USD Million)

Global Supply Chain Forecasting Software total market by Application, CAGR, 2021-2032, (USD Million)

This report profiles major players in the global Supply Chain Forecasting 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 Kinaxis, SAP, Anaplan, Coupa, Oracle, IBM, StockIQ, Blue Yonder, Infor Global Solutions, Manhattan Associates, 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 Supply Chain Forecasting 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 2021-2032 by year with 2025 as the base year, 2026 as the estimate year, and 2027-2032 as the forecast year.

Global Supply Chain Forecasting Software Market, By Region:
United States
China
Europe
Japan
South Korea
ASEAN
India
Rest of World

Global Supply Chain Forecasting Software Market, Segmentation by Type:
Cloud-based
On-premise

Global Supply Chain Forecasting Software Market, Segmentation by Technology:
Forecasting Software Based on Time Series Statistics
Forecasting Software Based on Causal and Regression Analysis
Forecasting Software Based on Machine Learning
Others

Global Supply Chain Forecasting Software Market, Segmentation by Forecasting Object:
Sales and Demand Forecasting
Inventory and Replenishment Forecasting
Capacity and Logistics Forecasting
Others

Global Supply Chain Forecasting Software Market, Segmentation by Application:
Consumer Goods
Healthcare and Pharmaceuticals
Retail
Manufacturing
Food and Drink
Transportation and Logistics
Others

Companies Profiled:
Kinaxis
SAP
Anaplan
Coupa
Oracle
IBM
StockIQ
Blue Yonder
Infor Global Solutions
Manhattan Associates
Epicor
PTC
Jaggaer
Dassault Systemes
FuturMaster
Reflex

Key Questions Answered

1. How big is the global Supply Chain Forecasting Software market?

2. What is the demand of the global Supply Chain Forecasting Software market?

3. What is the year over year growth of the global Supply Chain Forecasting Software market?

4. What is the total value of the global Supply Chain Forecasting Software market?

5. Who are the Major Players in the global Supply Chain Forecasting Software market?

6. What are the growth factors driving the market demand? Show more