Global Statistical Analysis Software Market Growth (Status and Outlook) 2025-2031

Global Statistical Analysis Software Market Growth (Status and Outlook) 2025-2031


The global Statistical Analysis Software market size is predicted to grow from US$ 55560 million in 2025 to US$ 64010 million in 2031; it is expected to grow at a CAGR of 2.4% from 2025 to 2031.

Statistical Analysis Software is a tool to solve statistical analysis problems, used in education, pharmaceuticals, finance, business survey, etc.

Statistical analysis software helps businesses collect, organize, interpret and present data in meaningful ways. It allows companies to analyze existing data using mathematical models and simulation techniques, and generate business-relevant insights to facilitate new opportunities, study past sales trends, and forecast future demand.

Americas is the largest Statistical Analysis Software market with about 43% market share. Europe is follower, accounting for about 24% market share.

The key players are The MathWorks, IHS Markit, IBM, StataCorp LLC, SAS Institute, TIBCO Software, Minitab LLC, MaxStat Software, SAP, AcaStat Software etc. Top 3 companies occupied about 60% market share.

LPI (LP Information)' newest research report, the “Statistical Analysis Software Industry Forecast” looks at past sales and reviews total world Statistical Analysis Software sales in 2024, providing a comprehensive analysis by region and market sector of projected Statistical Analysis Software sales for 2025 through 2031. With Statistical Analysis Software sales broken down by region, market sector and sub-sector, this report provides a detailed analysis in US$ millions of the world Statistical Analysis Software industry.

This Insight Report provides a comprehensive analysis of the global Statistical Analysis 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 Statistical Analysis Software portfolios and capabilities, market entry strategies, market positions, and geographic footprints, to better understand these firms’ unique position in an accelerating global Statistical Analysis Software market.

This Insight Report evaluates the key market trends, drivers, and affecting factors shaping the global outlook for Statistical Analysis 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 Statistical Analysis Software.

This report presents a comprehensive overview, market shares, and growth opportunities of Statistical Analysis Software market by product type, application, key players and key regions and countries.

Segmentation by Type:
Cloud-based
On-premises

Segmentation by Application:
SMEs and Individuals
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.
The MathWorks
IHS Markit
IBM
StataCorp LLC
SAS Institute
TIBCO Software
Minitab LLC
MaxStat Software
SAP
AcaStat Software


*This is a tentative TOC and the final deliverable is subject to change.*
1 Scope of the Report
2 Executive Summary
3 Statistical Analysis Software Market Size by Player
4 Statistical Analysis Software by Region
5 Americas
6 APAC
7 Europe
8 Middle East & Africa
9 Market Drivers, Challenges and Trends
10 Global Statistical Analysis Software Market Forecast
11 Key Players Analysis
12 Research Findings and Conclusion

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