Data Mining Tools Market Research Analysis 2024-2033 | Growth, Size, Demand, Analysis, and Insights

Overview and Scope

Data mining tools are software applications that utilize statistical, mathematical, and artificial intelligence techniques, for identifying trends, patterns, and insights, to make informed business decisions, and extract valuable knowledge from vast amounts of data.

Sizing and Forecast

The data mining tools market size has grown rapidly in recent years. It will grow from $1.02 billion in 2023 to $1.16 billion in 2024 at a compound annual growth rate (CAGR) of 13.4%.  The  growth in the historic period can be attributed to increased automation in manufacturing, increased labor costs, e-commerce growth, flexibility in applications, increased safety standards.

The data mining tools market size is expected to see rapid growth in the next few years. It will grow to $1.88 billion in 2028 at a compound annual growth rate (CAGR) of 12.9%.  The growth in the forecast period can be attributed to increasing cybersecurity in robotics, rapid expansion of the manufacturing industry, increasing adoption of the industry 4.0, strong government support, government-driven initiatives. Major trends in the forecast period include collaborative robotics (cobots), product innovation, technology advancements, ai and machine learning integration, expansion into new industries.

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Segmentation & Regional Insights

The data mining tools market covered in this report is segmented –

1) By Component: Tools, Services

2) By Platform: On-premise, On-cloud

3) By Organization Size: Large Enterprises, Small And Medium-sized Enterprises (SMEs)

4) By End-Use: Retail And E-commerce, Banking, Financial Services, And Insurance (BFSI), Government And Defense, Manufacturing, Energy And Utilities, Education, IT And Telecom, Healthcare, Other End Uses

North America was the largest region in the data mining tools market in 2023. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the data mining tools market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.

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Major Driver Impacting Market Growth

The rise in the adoption of cloud-based solutions is expected to propel the growth of the data mining tools market going forward. Cloud-based solutions refer to services and applications that are provided and accessed over the Internet, utilizing remote servers to store, manage, and process data, offering flexibility and on-demand access for users. Data mining tools contribute to the rise in the adoption of cloud-based solutions by enabling organizations to extract valuable insights and patterns from vast datasets, optimize decision-making processes, and enhance the efficiency of cloud-based applications. For instance, in December 2023, according to the European Commission (EC), the Belgium-based executive body of the European Union (EU), the adoption of cloud-based solutions in 2023 in the European Union increased by 4.2% points, with 45.2% of enterprises purchasing cloud computing services, showcasing a notable rise compared to 2021. Therefore, the rise in adoption of cloud-based solutions is driving the growth of the data mining tools market.

Key Industry Players

Major companies operating in the data mining tools market report are Microsoft Corporation, Dell Technologies Inc., Intel Corporation, International Business Machines Corporation, Oracle Corporation, SAP SE, Hewlett Packard Enterprise Development LP, Fortinet Inc., SAS Institute, Salford Systems, Teradata, Frontline Systems, Fair, Isaac and Company (FICO), MathWorks, Alteryx, SunTec India, Sisense, Dataiku, Reltio, Minitab LLC, CB Insights, KNIME, Biomax Informatics, BlueGranite Inc., Crunchbase Inc., RockDaisy, Megaputer Intelligence Inc., H2O.ai, Angoss Software Corporation, Splunk

The data mining tools market report table of contents includes:

  1. Executive Summary
  2. Market Characteristics
  3. Market Trends And Strategies
  4. Impact Of COVID-19
  5. Market Size And Growth
  6. Segmentation
  7. Regional And Country Analysis

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  1. Competitive Landscape And Company Profiles
  2. Key Mergers And Acquisitions
  3. Future Outlook and Potential Analysis

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