Power BI Market Size | Insights, Trends & Growth Analysis 2025

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Code: MTA10492

Publication Date: Nov 2025

What is the size of Power BI Market?

According to 6Wresearch internal database and industry insights, the Power BI Market was valued at USD 29.38 billion in 2024 and is expected to reach USD 69.10 billion by 2031, growing at a CAGR of 8.93% during 2025-2031.

The main drivers of this growth are the increasing use of data-driven decision-making across industries, growing demand for self-service analytics that empowers business users, and the integration of AI-driven insights that make data interpretation faster and smarter.

Growth Factors for Power BI Industry

Rising demand for tools that allow employees to analyse and visualise data without technical expertise.
Businesses are collecting more complex data, pushing the need for advanced analytics and reporting tools.
Cloud-based solutions are becoming the preferred choice for scalability, cost-efficiency, and accessibility.
Companies are embedding real-time dashboards into their applications to streamline decision-making.
AI and machine learning features are helping businesses predict outcomes and uncover deeper insights.

Power BI Market Trends

Power BI market trends show evidence of a strong transition to cloud analytics, as companies continue to move away from on-premise environments. More organisations are embedding analytics in workstreams to enable employees to make quicker, data-driven decisions. There is also the growing trend of natural-language processing and conversational analytics leading the charge for data exploration. The trend of mobile dashboards, collaborative analytics, and real-time data visualisation continues to grow amongst businesses that are prioritising agile and accessible visualisation.

Emerging Developments in the Power BI Market

The Power BI market developments reflect a focus on automation and intelligence. Vendors have begun to introduce AI-powered analytics and offer plain language responses to questions without requiring technical knowledge to interpret the data. The rise of low-code and even no-code is creating a path for faster deployment and accessibility. Businesses are also growing adoption for embedded analytics and data-as-a-service, integrating dashboards and delivery models directly into applications for seamless insight. These developments are redefining how organisations interact with the data they collect.