You are currently viewing Self-Service Business Intelligence (BI) Market Size, Share, Growth & Report 2024-2032

Self-Service Business Intelligence (BI) Market Size, Share, Growth & Report 2024-2032

Self-Service Business Intelligence (BI) Market Outlook

According to the report by Expert Market Research (EMR), the global self-service business intelligence (BI) market size reached a value of USD 8.20 billion in 2023. Aided by the increasing demand for data-driven decision-making, rising adoption of cloud-based BI solutions, and growing emphasis on empowering business users with analytics capabilities, the market is projected to further grow at a CAGR of 14.90% between 2024 and 2032 to reach a value of USD 28.55 billion by 2032.

Self-service business intelligence (BI) refers to the ability of business users to access, analyse, and visualise data without the need for extensive IT support or technical expertise. Self-service BI platforms empower users to explore data, create interactive reports and dashboards, and derive actionable insights from complex datasets using intuitive, user-friendly interfaces and tools. By enabling business users to take control of their data analysis and decision-making processes, self-service BI solutions promote agility, efficiency, and innovation across organisations.

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Nowadays, organisations are increasingly recognising the importance of data-driven decision-making to gain a competitive edge, improve operational efficiency, and drive business growth. Self-service BI solutions empower business users across departments and functions to access timely, relevant, and actionable insights from disparate data sources, enabling informed decision-making at all levels of the organisation, consequently driving up the self-service business intelligence (BI) market share.

The proliferation of data sources, including structured and unstructured data from internal and external sources, presents a significant challenge for organizations seeking to harness the full potential of their data assets. Self-service BI platforms offer advanced data integration, cleansing, and visualization capabilities, allowing users to seamlessly analyse and derive insights from diverse datasets, including big data, IoT data, social media data, and more.

The adoption of cloud-based BI solutions is on the rise due to their scalability, flexibility, and cost-effectiveness compared to traditional on-premises BI deployments. Cloud-based self-service BI platforms offer organisations the ability to rapidly deploy and scale analytics capabilities, access real-time data from anywhere, and leverage advanced analytics features such as predictive analytics and machine learning without the need for significant upfront investments in infrastructure or IT resources, leading to self-service business intelligence (BI) market growth.

Organisations are increasingly prioritising user empowerment and adoption as key drivers of BI success. Self-service BI solutions empower business users with the tools and capabilities they need to independently analyse data, generate insights, and drive business outcomes, reducing dependence on IT departments and accelerating time-to-insight. By promoting self-service analytics adoption and fostering a data-driven culture, organisations can maximise the ROI of their BI investments and drive business innovation, leading to self-service business intelligence (BI) market development.

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North America is forecasted to hold a significant portion of the self-service business intelligence market in the coming years due to the advanced IT infrastructure and presence of large enterprises in the region. The growing focus on compliance and data privacy is also predicted to drive the growth of the self-service business intelligence (BI) market. The early adoption of new technologies in North American countries like the United States is also projected to support the regional market expansion of self-service business intelligence.

As per the self-service business intelligence (BI) market analysis, the retail and e-commerce sectors are expected to experience substantial growth in the coming years. This growth can be attributed to the increasing connectivity and widespread adoption of online sales. These tools play a crucial role in analysing and interpreting sales data, evaluating performance, optimizing promotions and pricing strategies, and monitoring revenue trends, among other functions. As competition intensifies in the retail and e-commerce sector, more companies are anticipated to leverage self-service business intelligence to enhance customer satisfaction and gain a competitive advantage.

Self-Service Business Intelligence (BI) Market Segmentation  

The market can be divided based on the component, deployment type, enterprise type, application, end-use, and region

Market Breakup by Component

  • Solution
  • Analytical Applications
  • Corporate Performance Management (CPM) Suites
  • BI Platform
  • Services

Market Breakup by Deployment Type

  • Cloud Based
  • On-Premises

Market Breakup by Enterprise Type

  • Small and Medium Size Enterprises
  • Large Size Enterprises

Market Breakup by Application

  • Sales and Marketing
  • Customer Engagement and Analysis
  • Fraud and Security Management
  • Risk and Compliance Management
  • Predictive Asset Maintenance
  • Operations Management
  • Supply Chain Management and Procurement
  • Others

Market Breakup by End-Use

  • BFSI
  • Retail and E-Commerce
  • Telecom and IT
  • Government and Defence
  • Healthcare
  • Manufacturing
  • Media and Entertainment
  • Transportation and Logistics
  • Energy and Utilities
  • Others

Market Breakup by Region

  • North America
  • Europe
  • Asia Pacific
  • Latin America
  • Middle East and Africa

Competitive Landscape

The EMR report looks into the market shares, plant turnarounds, capacities, investments, and mergers and acquisitions, among other major developments, of the leading companies operating in global self-service business intelligence (BI) market. Some of the major players explored in the report by Expert Market Research are as follows:

  • Microsoft Corporation
  • IBM
  • Oracle Corporation
  • SAP SE
  • SAS Institute
  • Automation Anywhere, Inc.
  • HCL Technologies Limited
  • Hewlett Packard Enterprise Company
  • Kofax Inc
  • Pegasystems Inc.
  • Other

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