The artificial intelligence (ai) business intelligence market size is expected to see exponential growth in the next few years. It will grow to $52.29 billion in 2030 at a compound annual growth rate (CAGR) of 29.5%. The growth in the forecast period can be attributed to increasing adoption of generative AI in analytics, rising demand for real-time business insights, growing investment in enterprise analytics platforms, expanding adoption of cloud-based business intelligence, and increasing focus on automated decision intelligence. Major trends in the forecast period include growing adoption of augmented analytics platforms, increasing integration of predictive and prescriptive analytics, rising demand for self-service business intelligence solutions, expansion of real-time enterprise data analytics, and development of intelligent decision-support platforms.
The rising adoption of cloud infrastructure and big data platforms is expected to drive the growth of the artificial intelligence (AI) business intelligence market in the coming years. Cloud infrastructure and big data platforms refer to scalable computing, storage, and data management systems that enable organizations to collect, process, and analyze large volumes of information remotely. The adoption of cloud infrastructure and big data platforms is increasing as businesses generate unprecedented volumes of data through digital operations, customer interactions, and connected devices. Artificial intelligence (AI) business intelligence supports cloud infrastructure and big data platforms by leveraging scalable cloud computing resources to process, store, and analyze massive volumes of structured and unstructured data in real time, helping organizations generate actionable insights, improve decision-making, and enhance operational efficiency. For instance, in January 2026, according to Eurostat, a Luxembourg-based statistical office of the European Union, in 2025, 52.74% of EU enterprises used paid cloud computing services, an increase of 7.42 percentage points from 2023. Therefore, the rising adoption of cloud infrastructure and big data platforms is driving the growth of the artificial intelligence (AI) business intelligence market.
Major companies operating in the artificial intelligence (AI) business intelligence market are focusing on developing technological advancements, such as agentic analytics platforms, to automate data analysis, accelerate insight generation, and enhance enterprise decision-making. Agentic analytics platforms are AI-powered business analytics solutions that autonomously analyze data, generate recommendations, and allow users to interact with business information through natural language while supporting proactive decision-making. For instance, in April 2025, Salesforce Inc., a US-based cloud software company, launched Tableau Next to strengthen AI-powered business analytics by enabling autonomous AI agents to analyze data, generate actionable insights, automate decision-making workflows, and improve business intelligence across enterprises. The key features of Tableau Next include autonomous AI agents that proactively analyze enterprise data, identify trends, and deliver contextual insights without requiring manual data exploration.
In January 2024, Qlik Technologies Inc., a US-based software and data analytics company, acquired Kyndi Inc. for an undisclosed amount. Through this acquisition, Qlik Technologies Inc. aimed to strengthen its artificial intelligence (AI)-driven business intelligence (BI) platform by integrating Kyndi’s natural language processing (NLP), search, and generative artificial intelligence (Generative AI) technologies, enabling enterprises to obtain trusted insights from both structured and unstructured data to support improved decision-making. Kyndi Inc. is a US-based provider of AI business intelligence capabilities through its enterprise AI platform.
Major companies operating in the artificial intelligence (AI) business intelligence market are Microsoft Corporation, Google LLC, Amazon Web Services Inc., Oracle Corporation, IBM Corporation, Salesforce Inc., SAP SE, SAS Institute Inc., Snowflake Inc., Databricks Inc., Teradata Corporation, Cloud Software Group, Alteryx Inc., Qlik, MicroStrategy Incorporated, Domo Inc., C3 AI Inc., Zoho Corporation, ThoughtSpot Inc., Sisense Ltd., DataRobot Inc., Pyramid Analytics B.V., GoodData.AI, Incorta Inc., Tellius Inc.
North America was the dominant region in the artificial intelligence (AI) business intelligence market in 2025. Asia-Pacific is expected to be the rapidly growing region in the forecast period. The regions covered in the artificial intelligence (AI) business intelligence market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
The countries covered in the artificial intelligence (AI) business intelligence market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain.
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Table of Contents
Executive Summary
Artificial Intelligence (AI) Business Intelligence Market Global Report 2026 provides strategists, marketers and senior management with the critical information they need to assess the market.This report focuses artificial intelligence (ai) business intelligence market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.
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Description
Where is the largest and fastest growing market for artificial intelligence (ai) business intelligence? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward, including technological disruption, regulatory shifts, and changing consumer preferences? The artificial intelligence (ai) business intelligence market global report answers all these questions and many more.The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, total addressable market (TAM), market attractiveness score (MAS), competitive landscape, market shares, company scoring matrix, trends and strategies for this market. It traces the market’s historic and forecast market growth by geography.
- The market characteristics section of the report defines and explains the market. This section also examines key products and services offered in the market, evaluates brand-level differentiation, compares product features, and highlights major innovation and product development trends.
- The supply chain analysis section provides an overview of the entire value chain, including key raw materials, resources, and supplier analysis. It also provides a list competitor at each level of the supply chain.
- The updated trends and strategies section analyses the shape of the market as it evolves and highlights emerging technology trends such as digital transformation, automation, sustainability initiatives, and AI-driven innovation. It suggests how companies can leverage these advancements to strengthen their market position and achieve competitive differentiation.
- The regulatory and investment landscape section provides an overview of the key regulatory frameworks, regularity bodies, associations, and government policies influencing the market. It also examines major investment flows, incentives, and funding trends shaping industry growth and innovation.
- The market size section gives the market size ($b) covering both the historic growth of the market, and forecasting its development.
- The forecasts are made after considering the major factors currently impacting the market. These include the technological advancements such as AI and automation, Russia-Ukraine war, trade tariffs (government-imposed import/export duties), elevated inflation and interest rates.
- The total addressable market (TAM) analysis section defines and estimates the market potential compares it with the current market size, and provides strategic insights and growth opportunities based on this evaluation.
- The market attractiveness scoring section evaluates the market based on a quantitative scoring framework that considers growth potential, competitive dynamics, strategic fit, and risk profile. It also provides interpretive insights and strategic implications for decision-makers.
- Market segmentations break down the market into sub markets.
- The regional and country breakdowns section gives an analysis of the market in each geography and the size of the market by geography and compares their historic and forecast growth.
- Expanded geographical coverage includes Taiwan and Southeast Asia, reflecting recent supply chain realignments and manufacturing shifts in the region. This section analyzes how these markets are becoming increasingly important hubs in the global value chain.
- The competitive landscape chapter gives a description of the competitive nature of the market, market shares, and a description of the leading companies. Key financial deals which have shaped the market in recent years are identified.
- The company scoring matrix section evaluates and ranks leading companies based on a multi-parameter framework that includes market share or revenues, product innovation, and brand recognition.
Scope
Markets Covered:
1) By Component: Platform; Services2) By Technology: Machine Learning; Natural Language Processing; Generative Artificial Intelligence; Computer Vision; Other Technologies
3) By Deployment Mode: Cloud; On-Premises
4) By Organization Size: Large Enterprises; Small And Medium Sized Enterprises
5) By End User: Banking Financial Services And Insurance; Healthcare And Life Sciences; Retail And Electronic Commerce; Manufacturing; Information Technology And Telecommunications; Government And Public Sector; Media And Entertainment; Energy And Utilities; Transportation And Logistics; Other End Users
Subsegments:
1) By Platform: Data Integration Platforms; Data Visualization Platforms; Predictive Analytics Platforms; Prescriptive Analytics Platforms; Augmented Analytics Platforms; Conversational Analytics Platforms; Embedded Analytics Platforms; Decision Intelligence Platforms2) By Services: Consulting Services; Implementation Services; Integration Services; Training And Education Services; Support And Maintenance Services; Managed Services
Companies Mentioned: Microsoft Corporation; Google LLC; Amazon Web Services Inc.; Oracle Corporation; IBM Corporation; Salesforce Inc.; SAP SE; SAS Institute Inc.; Snowflake Inc.; Databricks Inc.; Teradata Corporation; Cloud Software Group; Alteryx Inc.; Qlik; MicroStrategy Incorporated; Domo Inc.; C3 AI Inc.; Zoho Corporation; ThoughtSpot Inc.; Sisense Ltd.; DataRobot Inc.; Pyramid Analytics B.V.; GoodData.AI; Incorta Inc.; Tellius Inc.
Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Taiwan; Russia; South Korea; UK; USA; Canada; Italy; Spain
Regions: Asia-Pacific; South East Asia; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
Time Series: Five years historic and ten years forecast.
Data: Ratios of market size and growth to related markets, GDP proportions, expenditure per capita.
Data Segmentations: Country and regional historic and forecast data, market share of competitors, market segments.
Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.
Delivery Format: Word, PDF or Interactive Report + Excel Dashboard
Added Benefits
- Bi-Annual Data Update
- Customisation
- Expert Consultant Support
Companies Mentioned
- Microsoft Corporation
- Google LLC
- Amazon Web Services Inc.
- Oracle Corporation
- IBM Corporation
- Salesforce Inc.
- SAP SE
- SAS Institute Inc.
- Snowflake Inc.
- Databricks Inc.
- Teradata Corporation
- Cloud Software Group
- Alteryx Inc.
- Qlik
- MicroStrategy Incorporated
- Domo Inc.
- C3 AI Inc.
- Zoho Corporation
- ThoughtSpot Inc.
- Sisense Ltd.
- DataRobot Inc.
- Pyramid Analytics B.V.
- GoodData.AI
- Incorta Inc.
- Tellius Inc.

