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Data Mining Software in the US Procurement Price, Data and Insights
Data mining software is used to discover patterns in large data sets that allow for informed business decisions. The size of these data sets, both in the number of entries and the number of variables, is too large for traditional database and query software and is typically too large to even depict visually. As a result, powerful data mining software, which is run primarily by command-line prompts, must be used. Key buyers are financial institutions, consulting firms and government agencies.
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What’s included in this market coverage
IBISWorld's research coverage on the Data Mining Software procurement and pricing environment in the United States includes market dynamics, buyer power scores, supply chain vendors with pricing trends and forecasts.
About this Market
What’s this procurement report about?
This procurement coverage of the Data Mining Software market in the United States includes Data Mining Software, Text Mining Software, Business Intelligence Software, Business Analytics Software and Predictive Analytics Software. Standard coding in this coverage includes ISIC-582-Software publishing, NACE-58.29-Other Software Publishing, NAICS-513210-Software Publishers and UNSPSC-43232307-Data mining software.
What common market terminology is included?
Common market terminology included in the Data Mining Software procurement coverage includes Open-Source Software (Software based on code that has been made publicly available. These software suites are typically developed in a public and collaborative manner.), Closed-Source Software (Also known as proprietary software, closed-source software's source code is not publicly available. Rather, the developer owns the rights to the code, and users are permitted to restricted use under a license.), Business Analytics Software (Business analytics software analyzes business operations data in order to find patterns that can lead to increases in processing efficiency.) and Internet of Things (IoT) (A system of interconnected computing devices that are able to automatically communicate and share information with other devices in the network without human interference.).
What companies are included as top suppliers?
The top companies covered in the Data Mining Software procurement report as suppliers are OpenText Corporation, StataCorp LLC, Sap Se, TIBCO Software Inc. and Oracle Corporation.
Opportunity Assessment
What’s included in the Opportunity Assessment chapter?
The Opportunity Assessment chapter provides a comprehensive market analysis of the Data Mining Software market in the United States category, including buyer power scoring, market pricing trends, vendor landscape, cost structure, and strategic negotiation levers.
The market pricing trends include the Market Price (2026) per team per year, a five year price forecast and a supply chain risk score. Vendor coverage includes a market share and cost structure breakdown.
Analysis includes a comprehensive SWOT analysis of and recent developments impacting the Data Mining Software market environment.
Buyer Power Score
What’s included in the Buyer Power Score chapter?
The Buyer Power Score chapter assesses key components impacting Data Mining Software procurement including the recent price trend, forecast price trend, availability of substitutes, switching costs, product specialization, average vendor risk, market share concentration, supply chain risk, price driver volatility and recent price volatility.
These components generate a Buyer Power Score that ranges from -5 (strongly favoring sellers) to +5 (strongly favoring buyers) plus a recommended strategy for procurement specialists.
Price Environment
What’s included in the Price Environment chapter?
The Price Environment chapter covers detailed pricing analysis and datasets on Data Mining Software market environment. This includes insights into market pricing Market Price (2026), price forecasts, volatility, specialization, substitutes and switching costs.
Datasets in the Price Environment chapter include vendor cost structure, breakdowns of wage rates by geography and specialty, key external economic and labor drivers impacting the market and market pricing models.
Supply Chain & Vendors
What’s included in the Supply Chain & Vendors chapter?
The Supply Chain & Vendors chapter covers the concentration, risk and diversity of the Data Mining Software market. This includes datasets on the market’s top suppliers, detailed analysis on the key sourcing risks and supply chain dynamics, with environmental, social and governance (ESG) considerations and scores.
Business Requirements
What’s included in the Business Requirements chapter?
The Business Requirements chapter covers vendor relationships, qualifications, service level agreements and key performance indicators. These inputs provide insight into the planning process through the buying lead time, vendor relationship and vendor qualifications. The sourcing process include key RFP elements like an organizational overview, project budget, selection criteria, project schedule, proposal format, inventory control, cost containment, regulation, quality control, distribution and key contract clauses.
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Frequently Asked Questions
What is the current market price for Data Mining Software?
The 2026 benchmark market price for Data Mining Software is $37500 per team per year. Prices have increased at a CAGR of 0.7 from 2023-26.
Who are the top vendors in the Data Mining Software market?
The top vendors in the Data Mining Software market include OpenText Corporation, StataCorp LLC, Sap Se, TIBCO Software Inc. and Oracle Corporation.
What industries supply the Data Mining Software market?
The top industries supplying the Data Mining Software market are Computer Manufacturing in the US, Semiconductor & Circuit Manufacturing in the US, Operating Systems & Productivity Software Publishing in the US and Intellectual Property Licensing in the US.
What is the supply chain risk for Data Mining Software?
High market share concentration limits buyer leverage and increases supplier pricing power. The data mining software market is dominated by a few large providers, which reduces competitive pressure and constrains buyer negotiating power. With limited major vendors controlling market share, buyers face challenges securing favorable pricing or customized contract terms. Organizations should consider multi-vendor sourcing strategies, enterprise agreements with volume discounts, and rigorous evaluation of service and support capabilities to mitigate the effects of concentrated supplier power.
What factors affect the price of Data Mining Software?
Features such as algorithm sophistication, ease of use, integration capabilities, and customer support significantly determine the pricing of data mining software. For example, proprietary software with advanced machine learning algorithms and robust customer support may command higher prices compared to free open-source options, which typically offer limited features and community-driven support.
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