Analytical applications market to hit $23.7 billion by 2030

Sep. 30, 2026
By AI, Created 14:00 UTC, Sep 30, 2026, AGP -

The analytical applications market is forecast to grow from $13.41 billion in 2025 to $15.01 billion in 2026, then reach $23.7 billion by 2030, according to a new Business Research Company report. Growth is being driven by digital transformation, rising demand for real-time decisions, and wider use of AI, cloud analytics, and self-service BI.

Why it matters: - Analytical applications are becoming a core layer of enterprise decision-making as companies manage more structured and unstructured data. - The market’s projected jump to $23.7 billion by 2030 signals sustained demand for tools that improve reporting, forecasting, and operational efficiency. - The shift matters for enterprises trying to speed up decisions and improve customer experiences through data.

What happened: - The Business Research Company published Analytical Applications Global Market Report 2026 – Market Size, Trends, And Forecast 2026-2035 on Sept. 30, 2026. - The report estimates the market will rise from $13.41 billion in 2025 to $15.01 billion in 2026. - The report forecasts a 12.1% compound annual growth rate through 2030, when the market is expected to reach $23.7 billion. - North America held the largest market share in 2025. - Asia-Pacific is expected to grow the fastest during the forecast period. - The report covers Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, the Middle East and Africa. - A free sample is available here. - The full report is available here.

The details: - Analytical applications are software tools that gather, process and analyze structured and unstructured data from enterprise IT systems and cloud environments. - The software category includes data visualization, predictive analytics, business intelligence and advanced reporting. - The historical growth drivers include enterprise data warehousing, basic reporting tools, more structured enterprise data, ERP and CRM adoption, and operational reporting automation. - The forecast period is being shaped by more unstructured data from digital platforms, greater demand for real-time decision-making, wider AI and machine learning adoption, cloud-based analytics and broader data-driven enterprise strategies. - Forecast trends include AI-powered predictive analytics, self-service business intelligence, real-time dashboards, cloud-native analytical applications and embedded analytics in enterprise software. - The report says digital transformation is a major growth driver because enterprises are integrating digital technologies into more parts of their operations. - Eurostat said in August 2024 that 59% of EU enterprises had reached at least a basic level of digital intensity in 2023. - Eurostat said 58% of SMEs and 91% of large enterprises in the EU had reached that level. - Eurostat projects that by 2030, more than 90% of EU SMEs will reach at least a basic digital intensity level.

Between the lines: - The market outlook suggests analytics is moving from a back-office reporting function to a real-time operating tool. - Faster growth in Asia-Pacific points to uneven adoption, with some regions still expanding their digital infrastructure and analytics maturity. - The emphasis on embedded and cloud-native analytics suggests vendors are competing to make data tools easier to deploy inside existing enterprise software.

What's next: - The report expects continued uptake of AI-driven analytics and cloud platforms as enterprises seek faster, more automated decision support. - Market intelligence updates in the 2026 report include TAM analysis, company scoring matrices, forecasting dashboards, hotspot infographics and updated trend graphics. - The Business Research Company is directing readers to its expert contacts and social channels for follow-up information.

The bottom line: - Analytical applications are on track for steady double-digit growth as enterprises push harder into digital transformation and real-time, data-driven operations.

Disclaimer: This article was produced by AGP Wire with the assistance of artificial intelligence based on original source content and has been refined to improve clarity, structure, and readability. This content is provided on an “as is” basis. While care has been taken in its preparation, it may contain inaccuracies or omissions, and readers should consult the original source and independently verify key information where appropriate. This content is for informational purposes only and does not constitute legal, financial, investment, or other professional advice.

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