2026 Global: Business Intelligence Software-Competitive Review (2032) report
Description
The 2026 Global: Business Intelligence Software-Competitive Review (2031) report features the global market size and projected growth/decline data for the period 2021 through 2032. The report primarily provides an examination of the business strategies for the ten largest global companies in the market and how their strategies differ.
Perry/Hope Partners' reports provide the most accurate industry forecasts based on our proprietary economic models. Our forecasts project the product market size nationally and by regions for 2021 to 2032 using regression analysis in our modeling. and Perry/Hope is the only market research publisher that utilizes both longitudinal (historical) and vertical (from market section to market division to market class) analysis, since we study every manufactured product in the countries we analyze. The report also provides written analysis on the market definition, market segments, and SWOT analysis (market strengths, weaknesses, opportunities, and threats).
The market study aims at estimating the market size and the growth potential of this market. Topics analyzed within the report include a detailed breakdown of the global markets for business intelligence software by geography and historical trend. The scope of the report extends to sizing of the business intelligence software market and global market trends with market data for 2024 as the base year, 2025 and 2026 as the estimate years with projection of CAGR from 2027 to 2032.
The report also features a list of the top ten largest global players in the market. A review of each company includes 1) an estimate of the market share, 2) a listing of the products and/or services in the market, and 3) the features of these products and/or services in the market. The report has a chapter on Comparative Business Strategies for the largest four players. An example of the Comparative Business Strategies analysis would be -- How does Netflix's business strategy to expand its market share in the global online streaming compare to Amazon Prime's business strategy through its video products and services?
The ten market players in this report and a brief synopsis of their participation in the market are:
Microsoft, Tableau (Salesforce), Power BI maker Microsoft remains the dominant force in business intelligence, offering Power BI for self-service reporting, tight integration with Excel and Azure, and growing Copilot/AI features that anchor enterprise analytics strategies across organizations. Salesforce’s Tableau combines best‑in‑class visualization and dashboarding with Salesforce data integration and augmented analytics, making it a go‑to for customer and sales analytics at scale. ThoughtSpot positions itself as an AI‑first BI vendor that enables search‑driven analytics and natural‑language queries, appealing to business users who want rapid, conversational access to insights without heavy modeling. Looker (Google Cloud) provides a semantic modeling layer and embedded analytics that suit cloud‑native data platforms and modern data stacks, while Power BI and Tableau remain the primary visualization incumbents in many enterprises.
Snowflake, Databricks, and Oracle occupy the data‑platform layer that increasingly defines BI capabilities: Snowflake’s cloud data platform powers analytics workloads with scalable storage and compute and integrates broadly with BI front ends and data engineering pipelines. Databricks combines Lakehouse architecture, unified data engineering and machine‑learning tooling, and strong enterprise AI investments that let organizations build production analytics and ML models feeding BI workflows. Oracle continues to deliver enterprise BI and analytics embedded in its cloud portfolio and database offerings, emphasizing integrated data management, machine learning, and operational reporting for large enterprises. SAS and SAP address analytic depth and enterprise reporting: SAS remains prominent for advanced analytics, statistical modeling, and predictive use cases in regulated industries, while SAP’s BusinessObjects and SAP Analytics Cloud serve large ERP customers needing consolidated reporting and planning capabilities.
Sisense, Qlik, Domo and specialist vendors round out the competitive landscape with differentiated delivery and embedding approaches: Sisense focuses on embedded analytics and flexible pro‑/low‑code deployment for product teams and OEMs, enabling analytics inside applications and portals. Qlik emphasizes associative data exploration and strong data integration tooling for environments with fragmented data sources, while Domo targets rapid cloud dashboards, prebuilt apps, and executive‑facing self‑service analytics for faster time‑to‑value. Niche and consulting leaders such as Alteryx, Incorta/modern lakehouse vendors, and major consultancies (Accenture, Deloitte, IBM, PwC) support BI through data engineering, governance, and implementation services that tie strategic analytics, automation and AI into operational decisioning across industries. These ten companies and adjacent specialists together shape BI adoption by combining visualization, semantic modeling, cloud data platforms, ML/AI integration, and consultative delivery to meet enterprise needs.
Perry/Hope Partners' reports provide the most accurate industry forecasts based on our proprietary economic models. Our forecasts project the product market size nationally and by regions for 2021 to 2032 using regression analysis in our modeling. and Perry/Hope is the only market research publisher that utilizes both longitudinal (historical) and vertical (from market section to market division to market class) analysis, since we study every manufactured product in the countries we analyze. The report also provides written analysis on the market definition, market segments, and SWOT analysis (market strengths, weaknesses, opportunities, and threats).
The market study aims at estimating the market size and the growth potential of this market. Topics analyzed within the report include a detailed breakdown of the global markets for business intelligence software by geography and historical trend. The scope of the report extends to sizing of the business intelligence software market and global market trends with market data for 2024 as the base year, 2025 and 2026 as the estimate years with projection of CAGR from 2027 to 2032.
The report also features a list of the top ten largest global players in the market. A review of each company includes 1) an estimate of the market share, 2) a listing of the products and/or services in the market, and 3) the features of these products and/or services in the market. The report has a chapter on Comparative Business Strategies for the largest four players. An example of the Comparative Business Strategies analysis would be -- How does Netflix's business strategy to expand its market share in the global online streaming compare to Amazon Prime's business strategy through its video products and services?
The ten market players in this report and a brief synopsis of their participation in the market are:
Microsoft, Tableau (Salesforce), Power BI maker Microsoft remains the dominant force in business intelligence, offering Power BI for self-service reporting, tight integration with Excel and Azure, and growing Copilot/AI features that anchor enterprise analytics strategies across organizations. Salesforce’s Tableau combines best‑in‑class visualization and dashboarding with Salesforce data integration and augmented analytics, making it a go‑to for customer and sales analytics at scale. ThoughtSpot positions itself as an AI‑first BI vendor that enables search‑driven analytics and natural‑language queries, appealing to business users who want rapid, conversational access to insights without heavy modeling. Looker (Google Cloud) provides a semantic modeling layer and embedded analytics that suit cloud‑native data platforms and modern data stacks, while Power BI and Tableau remain the primary visualization incumbents in many enterprises.
Snowflake, Databricks, and Oracle occupy the data‑platform layer that increasingly defines BI capabilities: Snowflake’s cloud data platform powers analytics workloads with scalable storage and compute and integrates broadly with BI front ends and data engineering pipelines. Databricks combines Lakehouse architecture, unified data engineering and machine‑learning tooling, and strong enterprise AI investments that let organizations build production analytics and ML models feeding BI workflows. Oracle continues to deliver enterprise BI and analytics embedded in its cloud portfolio and database offerings, emphasizing integrated data management, machine learning, and operational reporting for large enterprises. SAS and SAP address analytic depth and enterprise reporting: SAS remains prominent for advanced analytics, statistical modeling, and predictive use cases in regulated industries, while SAP’s BusinessObjects and SAP Analytics Cloud serve large ERP customers needing consolidated reporting and planning capabilities.
Sisense, Qlik, Domo and specialist vendors round out the competitive landscape with differentiated delivery and embedding approaches: Sisense focuses on embedded analytics and flexible pro‑/low‑code deployment for product teams and OEMs, enabling analytics inside applications and portals. Qlik emphasizes associative data exploration and strong data integration tooling for environments with fragmented data sources, while Domo targets rapid cloud dashboards, prebuilt apps, and executive‑facing self‑service analytics for faster time‑to‑value. Niche and consulting leaders such as Alteryx, Incorta/modern lakehouse vendors, and major consultancies (Accenture, Deloitte, IBM, PwC) support BI through data engineering, governance, and implementation services that tie strategic analytics, automation and AI into operational decisioning across industries. These ten companies and adjacent specialists together shape BI adoption by combining visualization, semantic modeling, cloud data platforms, ML/AI integration, and consultative delivery to meet enterprise needs.
Table of Contents
32 Pages
- 1.0 Scope of Report and Methodology
- 2.0 Market SWOT Analysis and Players
- 2.1 Market Definition
- 2.2 Market Segments
- 2.3 Market Strengths
- 2.4 Market Weaknesses
- 2.5 Market Threats
- 2.6 Market Opportunities
- 2.7 Major Players
- 3.0 Competitive Analysis
- 3.1 Market Player 1
- 3.2 Market Player 2
- 3.3 Market Player 3
- 3.4 Market Player 4
- 3.5 Market Player 5
- 3.6 Market Player 6
- 3.7 Market Player 7
- 3.8 Market Player 8
- 3.9 Market Player 9
- 3.10 Market Player 10
- 4.0 Comparative Business Strategies
- 4.1 Comparative Business Strategies of Player 1 and 2
- 4.2 Comparative Business Strategies of Player 1 and 3
- 4.3 Comparative Business Strategies of Player 1 and 4
- 4.4 Comparative Business Strategies of Player 2 and 3
- 4.5 Comparative Business Strategies of Player 2 and 4
- 4.6 Comparative Business Strategies of Player 3 and 4
- 5.0 Appendix
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