Real-time BI market seen rising to $9.63 billion by 2030

4 hours ago
By AI, Created 16:30 UTC, Oct 07, 2026, AGP -

The real-time business intelligence market is projected to grow from $5.3 billion in 2025 to $9.63 billion by 2030, driven by demand for faster decision-making, more IoT data and wider use of AI analytics. North America led the market in 2025, while Asia-Pacific is expected to grow fastest through 2030.

Why it matters: - Real-time business intelligence is becoming a core tool for companies that need faster decisions from live data. - The market’s projected growth signals stronger demand for analytics that can move operations, forecasting and response away from batch reporting. - IoT adoption is adding more continuous data streams, increasing the need for systems that can process and visualize information immediately.

What happened: - The Business Research Company said the global real-time business intelligence market will rise from $5.3 billion in 2025 to $5.96 billion in 2026. - The market is forecast to reach $9.63 billion by 2030. - The report projects a 12.5% compound annual growth rate from 2025 to 2026 and a 12.7% CAGR through 2030. - The company released its Real-Time Business Intelligence Global Market Report 2026, covering market size, trends and forecasts for 2026-2035. - Download a free sample of the report - View the full market report

The details: - Real-time business intelligence lets organizations gather, process, analyze and visualize data as it is created. - The system combines streaming data sources, analytics engines and visualization platforms. - The framework supports continuous monitoring, predictive insights and performance tracking across business functions. - The report says growth has been driven by advances in traditional business intelligence tools, digitization efforts, data warehousing, wider ERP use and rising internet and transactional data volumes. - Looking ahead, the report points to demand for immediate decision-making, wider adoption of AI and machine learning analytics, more IoT-generated real-time data streams, stronger use of predictive and prescriptive analytics, and migration of analytics workloads to the cloud. - The report highlights real-time data streaming analytics, AI-driven automated decision intelligence, cloud-native BI platforms, edge computing-enabled analytics processing and self-service data visualization as key trends. - North America held the largest market share in 2025. - Asia-Pacific is expected to be the fastest-growing region during the forecast period. - The report also covers South East Asia, Western Europe, Eastern Europe, South America, the Middle East and Africa.

Between the lines: - The market outlook suggests real-time BI is shifting from a specialized capability to a standard layer in enterprise analytics stacks. - IoT is a major growth lever because connected devices create constant operational data that older reporting models cannot handle efficiently. - The report’s emphasis on AI, cloud and edge computing shows buyers want lower-latency systems that can act on data closer to where it is generated. - Ericsson said in June 2025 that 58% of businesses were already using IoT devices and 34% planned to invest in them, based on a survey of 1,000 technology decision makers. - Ericsson’s U.S. State of Enterprise Connectivity Report said many enterprises planned to deploy IoT security systems and video surveillance over the next year.

What's next: - The report expects continued expansion through 2030 as companies invest in immediate analytics and connected-device infrastructure. - Adoption should accelerate as cloud migration, AI tools and edge processing make real-time BI easier to deploy at scale. - The Business Research Company has added market attractiveness scoring, TAM analysis, scoring matrix graphics, Excel forecasting dashboards, market hotspots infographics and updated graphics and tables to its 2026 reports.

The bottom line: - Real-time BI is on track for sustained double-digit growth as enterprises need live, AI-enabled decision tools to keep up with faster-moving data.

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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