Business analytics market to hit $149.81B by 2030
The global business analytics market is projected to rise from $102.83 billion in 2026 to $149.81 billion by 2030, according to The Business Research Company. Cloud adoption, real-time decision-making and predictive analytics are driving demand, with North America leading and Asia-Pacific growing fastest.
Why it matters: - Business analytics is becoming a core tool for companies trying to turn growing volumes of data into faster decisions and better performance. - The market’s growth suggests broader enterprise spending on analytics software, cloud platforms and reporting tools across industries.
What happened: - The Business Research Company released its Business Analytics Global Market Report 2026, covering market size, trends and forecasts for 2026-2035. - The business analytics market is estimated at $102.83 billion in 2026, up from $93.24 billion in 2025. - The report projects the market will reach $149.81 billion by 2030. - The report places North America as the largest regional market in 2025. - The report identifies Asia-Pacific as the fastest-growing region over the forecast period. - The report also covers Asia-Pacific, South East Asia, Western Europe, Eastern Europe, South America, the Middle East and Africa.
The details: - The report says the market grew on higher business data generation, stronger demand for data-driven decision-making, wider use of business intelligence tools, better enterprise IT infrastructure, and more performance measurement and reporting. - The report forecasts a 10.3% CAGR from 2025 to 2026 and a 9.9% CAGR through 2030. - The report points to cloud-based analytics, real-time decision-making, predictive business insights, broader industry adoption and higher SME uptake as key growth drivers. - The report highlights predictive analytics, real-time data analytics, self-service analytics platforms, advanced data visualization and actionable insights as major trends. - Business analytics is described as the process of gathering, combining, analyzing and interpreting business data to support decision-making and improve organizational performance. - The report says business analytics uses statistical analysis, data mining, predictive modeling and visualization tools to uncover patterns and evaluate performance. - Cloud-based solutions are identified as a major catalyst because they give organizations scalable computing, flexible data storage and easier integration of multiple data sources. - Flexera reported in March 2024 that multi-cloud usage increased from 87% to 89%, which the report uses as evidence of rising cloud reliance. - The Business Research Company says its 2026 report includes market attractiveness scoring, TAM analysis, company scoring matrices, Excel dashboards, hotspot infographics, key technologies, future trends and updated graphics and tables. - The company also offers a free sample report and the full report online through the full market report and a free sample.
Between the lines: - The forecast implies business analytics is shifting from a support function to a standard operating layer for planning, operations and performance management. - The emphasis on cloud, self-service tools and real-time insights suggests buyers want analytics that is easier to deploy and faster to use, not just more powerful. - The regional split points to mature demand in North America and expansion potential in Asia-Pacific as adoption broadens.
What's next: - The market is expected to keep expanding as more organizations adopt cloud-based analytics and predictive tools. - Small and medium-sized enterprises are likely to become a bigger demand pool as analytics products become more accessible. - Competitive differentiation will likely center on speed, usability, visualization and integration across data sources.
The bottom line: - Business analytics remains in a strong growth phase, with cloud adoption and real-time insight needs powering a market that is still scaling globally.
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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