Home β€Ί ICT β€Ί Artificial Intelligence β€Ί AI-Powered Business Intelligence Market

AI-Powered Business Intelligence Market Size, Share, Opportunities, And Trends By Component (Hardware, Software), By Deployment (On-Premise, Cloud-Based), By End-User (Banking, Financial Services, and Insurance (BFSI), Retail and E-Commerce, Healthcare, Telecom, Government and Public Sector, Others), And By Geography – Forecasts From 2025 To 2030

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Table of Contents

1. EXECUTIVE SUMMARY

2. MARKET SNAPSHOT

2.1. Market Overview

2.2. Market Definition

2.3. Scope of the Study

2.4. Market Segmentation

3. BUSINESS LANDSCAPE

3.1. Market Drivers

3.2. Market Restraints

3.3. Market Opportunities

3.4. Porter’s Five Forces Analysis

3.5. Industry Value Chain Analysis

3.6. Policies and Regulations

3.7. Strategic Recommendations

4. TECHNOLOGICAL OUTLOOK

5. AI-Powered Business Intelligence Market by Component

5.1. Introduction

5.2. Hardware

5.3. Software

6. AI-Powered Business Intelligence Market BY Deployment

6.1. Introduction

6.2. On-Premise

6.3. Cloud-Based

7. AI-Powered Business Intelligence Market BY End-User

7.1. Introduction

7.2. Banking, Financial Services, and Insurance (BFSI)

7.3. Retail and E-Commerce

7.4. Healthcare

7.5. Telecom

7.6. Government

7.7. Others

8.  AI-Powered Business Intelligence Market BY GEOGRAPHY

8.1. Introduction

8.2. North America

8.2.1. USA

8.2.2. Canada

8.2.3. Mexico

8.3. South America

8.3.1. Brazil

8.3.2. Argentina

8.3.3. Others

8.4. Europe

8.4.1. United Kingdom

8.4.2. Germany

8.4.3. France

8.4.4. Italy

8.4.5. Spain

8.4.6. Others

8.5. Middle East & Africa

8.5.1. Saudi Arabia

8.5.2. UAE

8.5.3. Others

8.6. Asia Pacific

8.6.1. China

8.6.2. India

8.6.3. Japan

8.6.4. South Korea

8.6.5. Thailand

8.6.6. Others

9. COMPETITIVE ENVIRONMENT AND ANALYSIS

9.1. Major Players and Strategy Analysis

9.2. Market Share Analysis

9.3. Mergers, Acquisitions, Agreements, and Collaborations

9.4. Competitive Dashboard

10. COMPANY PROFILES

10.1. Microsoft

10.2. Tableau

10.3. ThoughtSpot

10.4. IBM

10.5. SAP

10.6. Databricks

10.7. Qlik

10.8. Domo

10.9. GoodData

10.10. AlphaSense

11. APPENDIX

11.1. Currency

11.2. Assumptions

11.3. Base and Forecast Years Timeline

11.4. Key benefits for the stakeholders

11.5. Research Methodology

11.6. Abbreviations

REPORT DETAILS

Report ID:KSI061617578
Published:Jul 2025
Pages:140
Format:PDF, Excel, PPT, Dashboard
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