The artificial intelligence (AI) in business analytics market size is expected to see rapid growth in the next few years. It will grow to $16.91 billion in 2030 at a compound annual growth rate (CAGR) of 15.3%. The growth in the forecast period can be attributed to increasing adoption of generative AI for analytics, growing demand for real-time predictive insights, rising investment in cloud-based analytics platforms, expanding use of automated business intelligence tools, and increasing focus on enterprise decision intelligence. Major trends in the forecast period include growing adoption of predictive and prescriptive analytics, increasing integration of augmented analytics platforms, rising demand for automated business decision support, expansion of real-time enterprise data analysis, and development of self-service business analytics solutions.
The growing volume of enterprise data is expected to drive the growth of the artificial intelligence (AI) in business analytics market in the coming years. Enterprise data refers to the large and continuously expanding collection of structured and unstructured information generated, stored, and managed by organizations through their business operations, digital interactions, and connected systems. Enterprise data is increasing due to the rapid digitization of business operations, as organizations adopt cloud platforms, IoT devices, AI applications, e-commerce, and digital services that continuously generate and store massive volumes of structured and unstructured data. AI in business analytics supports enterprise data by enabling organizations to efficiently process, analyze, and extract actionable insights from rapidly growing volumes of structured and unstructured information, helping businesses improve decision-making, optimize operations, and identify emerging trends. For instance, in March 2024, according to Edge Delta, a US-based software company, the world produced an estimated 120 zettabytes (ZB) of data, equivalent to approximately 337,080 petabytes (PB) per day. Therefore, the growing volume of enterprise data is driving the growth of the artificial intelligence (AI) in business analytics market.
Major companies operating in the artificial intelligence (AI) in business analytics 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 enable users to interact with business information using natural language while supporting proactive decision-making. For instance, in April 2025, Salesforce, a US-based cloud software company, launched Tableau Next to strengthen AI-powered business analytics by enabling autonomous AI agents to analyze enterprise data, generate actionable insights, automate decision-making workflows, and enhance business intelligence across organizations. The platform's key features include autonomous AI agents that proactively identify trends, deliver contextual insights, and reduce the need for manual data exploration, enabling faster and more informed business decisions.
In November 2025, Salesforce, Inc., a US-based cloud-based software company, acquired Informatica Inc. for an undisclosed amount. Through this acquisition, Salesforce aimed to strengthen its AI-powered business analytics capabilities by integrating Informatica’s data integration, governance, metadata management, and master data management technologies to establish a trusted data foundation for enterprise AI and analytics. Informatica Inc. is a US-based provider of AI-powered data management through its CLAIRE AI engine, which automates data integration, data quality, metadata management, and governance.
Major companies operating in the artificial intelligence (AI) in business analytics market are Microsoft Corporation, Google LLC, Amazon Web Services Inc., Oracle Corporation, SAP SE, Salesforce Inc., IBM Corporation, Snowflake Inc., Databricks Inc., Palantir Technologies Inc., Teradata Corporation, SAS Institute Inc., Alteryx Inc., Pyramid Analytics B.V., Altair Engineering Inc., Zoho Corporation, Qlik, Anaplan Inc., MicroStrategy Incorporated, Dataiku Inc., C3 AI Inc., DataRobot Inc., ThoughtSpot Inc., Domo Inc., GoodData.AI, Sisense Ltd., H2O.ai Inc., Tellius Inc.
North America was the dominant region in the artificial intelligence (AI) in business analytics 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) in business analytics 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) in business analytics 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) In Business Analytics 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) in business analytics 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) in business analytics? 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) in business analytics 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: Software; 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 Software: Predictive Analytics Software; Prescriptive Analytics Software; Data Visualization Software; Reporting And Dashboard Software; Data Mining Software; Business Performance Management Software; Decision Intelligence Software; Augmented Analytics Software2) 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; SAP SE; Salesforce Inc.; IBM Corporation; Snowflake Inc.; Databricks Inc.; Palantir Technologies Inc.; Teradata Corporation; SAS Institute Inc.; Alteryx Inc.; Pyramid Analytics B.V.; Altair Engineering Inc.; Zoho Corporation; Qlik; Anaplan Inc.; MicroStrategy Incorporated; Dataiku Inc.; C3 AI Inc.; DataRobot Inc.; ThoughtSpot Inc.; Domo Inc.; GoodData.AI; Sisense Ltd.; H2O.ai 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
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- Bi-Annual Data Update
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Companies Mentioned
- Microsoft Corporation
- Google LLC
- Amazon Web Services Inc.
- Oracle Corporation
- SAP SE
- Salesforce Inc.
- IBM Corporation
- Snowflake Inc.
- Databricks Inc.
- Palantir Technologies Inc.
- Teradata Corporation
- SAS Institute Inc.
- Alteryx Inc.
- Pyramid Analytics B.V.
- Altair Engineering Inc.
- Zoho Corporation
- Qlik
- Anaplan Inc.
- MicroStrategy Incorporated
- Dataiku Inc.
- C3 AI Inc.
- DataRobot Inc.
- ThoughtSpot Inc.
- Domo Inc.
- GoodData.AI
- Sisense Ltd.
- H2O.ai Inc.
- Tellius Inc.

