Global Demand Forecasting Software Market Growth (Status and Outlook) 2024-2030
The global Demand Forecasting Software market size is projected to grow from US$ million in 2024 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 “Demand Forecasting Software Industry Forecast” looks at past sales and reviews total world Demand Forecasting Software sales in 2022, providing a comprehensive analysis by region and market sector of projected Demand Forecasting Software sales for 2023 through 2029. With Demand Forecasting Software sales broken down by region, market sector and sub-sector, this report provides a detailed analysis in US$ millions of the world Demand Forecasting Software industry.
This Insight Report provides a comprehensive analysis of the global Demand Forecasting 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 analyses the strategies of leading global companies with a focus on Demand Forecasting Software portfolios and capabilities, market entry strategies, market positions, and geographic footprints, to better understand these firms’ unique position in an accelerating global Demand Forecasting Software market.
This Insight Report evaluates the key market trends, drivers, and affecting factors shaping the global outlook for Demand Forecasting 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 Demand Forecasting Software.
United States market for Demand Forecasting Software is estimated to increase from US$ million in 2023 to US$ million by 2030, at a CAGR of % from 2024 through 2030.
China market for Demand Forecasting Software is estimated to increase from US$ million in 2023 to US$ million by 2030, at a CAGR of % from 2024 through 2030.
Europe market for Demand Forecasting Software is estimated to increase from US$ million in 2023 to US$ million by 2030, at a CAGR of % from 2024 through 2030.
Global key Demand Forecasting Software players cover Manhattan Associates, Oracle, Logility, Infor, SAP, etc. In terms of revenue, the global two largest companies occupied for a share nearly % in 2023.
This report presents a comprehensive overview, market shares, and growth opportunities of Demand Forecasting Software market by product type, application, key players and key regions and countries.
Segmentation by Type:
Cloud-based
On-premise
Segmentation by Application:
Consumer Goods
Healthcare and Pharmaceuticals
Retail
Manufacturing
Food and Drink
Transportation and Logistics
Others
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
Segmentation by Type:
Cloud-based
On-premise
Segmentation by Application:
Consumer Goods
Healthcare and Pharmaceuticals
Retail
Manufacturing
Food and Drink
Transportation and Logistics
Others
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.
Manhattan Associates
Oracle
Logility
Infor
SAP
GMDH Streamline
Coupa
E2open
IBM
StockIQ
Blue Yonder
Epicor
PTC
Kinaxis
Dassault Systemes
ToolsGroup
RELEX Solutions
Algo
Arkieva
John Galt Solutions
Syncron
GEP
Please note: The report will take approximately 2 business days to prepare and deliver.