Featuring market attractiveness scoring, total addressable market sizing, company benchmarking matrices, interactive Excel dashboards, deeper supply chain intelligence, emerging startup tracking, and granular product-level insights, The Business Research Company’s 2026 market reports are built to deliver research that is both more actionable and more strategically valuable.
#Generative AI In Analytics Market Forecast: Value Set To Climb From $2.21 Billion To $5.51 Billion#_x000D_
The market size for generative AI in analytics has demonstrated rapid expansion over recent years. This market is projected to expand from $1.69 billion in 2025 to $2.21 billion in 2026, exhibiting a compound annual growth rate (CAGR) of 30.7%. Factors contributing to its historical growth include expanding enterprise data volumes, the inherent limitations of conventional analytics, the early adoption of machine learning models, a heightened demand for business intelligence tools, and the increasing prevalence of data-driven decision making._x000D_
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The generative AI in analytics market size is foreseen to undergo substantial growth in the next few years. Its valuation is expected to climb to $5.51 billion in 2030, achieving a compound annual growth rate (CAGR) of 25.7%. This expansion during the forecast period is attributable to the widespread adoption of generative models, the demand for real-time analytics, the broadening of self-service analytics, an increased focus on predictive accuracy, and the integration of AI across enterprise workflows. Prominent trends within the forecast period include automated insight generation, synthetic data creation, predictive scenario modeling, conversational analytics interfaces, and context-aware decision support._x000D_
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#Generative AI In Analytics Market Expansion Drivers: What’s Shaping Future Growth?#_x000D_
The increasing need for content created by artificial intelligence is projected to advance the generative AI in analytics market in the future. This type of content encompasses digital media like text, images, or videos, which are manufactured through artificial intelligence algorithms and advanced technologies. Its rising popularity stems from its capacity to efficiently provide customized and pertinent content on a large scale, thereby boosting user interaction and decreasing operational production expenses for businesses. These AI models are capable of examining extensive datasets to uncover patterns, trends, and valuable insights, which are then utilized to produce various forms of content, including articles, reports, and creative pieces. As an illustration, in February 2024, DOIT Software, a US-based company focused on business software and AI tools, reported that the generative AI platform ChatGPT had an estimated 57 million users in 2022, with its usage dramatically increasing to 100 million by January 2023. Consequently, the heightened demand for AI-generated content fuels the expansion of the generative AI in analytics market._x000D_
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#Generative AI In Analytics Market Segments: Where Is Growth Concentrated?#_x000D_
The generative AI in analytics market covered in this report is segmented – _x000D_
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1) By Technology: Machine Learning, Natural Language Processing, Deep Learning, Computer Vision_x000D_
2) By Deployment: Cloud-Based, On-Premise_x000D_
3) By Application: Data Augmentation, Anomaly Detection, Text Generation, Simulation And Forecasting_x000D_
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Subsegments:_x000D_
1) By Machine Learning: Supervised Learning, Unsupervised Learning, Semi-Supervised Learning_x000D_
2) By Natural Language Processing (NLP): Text Generation, Sentiment Analysis, Language Translation, Speech Recognition_x000D_
3) By Deep Learning: Neural Networks, Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN), Generative Adversarial Networks (Gans)_x000D_
4) By Computer Vision: Image Classification, Object Detection, Image Generation_x000D_
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#Generative AI In Analytics Market Strategic Trends: What Defines The Next Growth Phase?#_x000D_
Leading companies in the generative AI in analytics market are concentrating on developing innovative solutions, such as artificial intelligence (AI)-powered analytics platforms, to meet the increasing demand for quicker, more accurate data insights and improved decision-making capabilities. These AI-powered analytics platforms leverage generative AI models to automatically analyze large datasets, generate predictive insights, and create natural language summaries, offering a substantial improvement over traditional analytics tools that rely on manual querying and static reporting. For instance, in March 2023, Salesforce, Inc., a U.S.-based cloud software company, launched Tableau Einstein GPT, an AI-powered analytics platform that combines Tableau’s data visualization capabilities with generative AI to deliver automated insights and recommendations. The platform integrates large language models directly into analytics workflows, enabling users to ask natural language questions, generate AI-driven visualizations, and receive actionable insights instantly. Its unique features include real-time data interaction, predictive analytics, and AI-generated explanations of complex trends, which streamline decision-making and enhance productivity across business functions. Tableau Einstein GPT is particularly beneficial for organizations seeking to democratize data access, reduce manual analysis, and improve the speed and accuracy of strategic decisions._x000D_
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#Generative AI In Analytics Market Key Participants And Competitive Landscape#_x000D_
Major companies operating in the generative AI in analytics market are Amazon Inc.; Apple Inc.; Alphabet Inc.; Microsoft Corporation; Dell Technologies Inc.; Siemens AG; Accenture PLC; International Business Machines Corporation (IBM); Oracle Corporation; SAP SE; NVIDIA Corporation; Adobe Inc.; Block Inc.; Automatic Data Processing Inc.; ServiceNow Inc.; Workday Inc.; Atlassian Corporation; Slack Technologies Inc.; OpenAI; MongoDB Inc.; Box Inc.; SG Analytics Pvt. Ltd.; Decimal Point Analytics Pvt; Gramener Inc.; Anthropic PBC; Valiance Solutions Inc. _x000D_
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#Generative AI In Analytics Market Regional Analysis And Top Geography#_x000D_
North America was the largest region in the generative AI in analytics market in 2025. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the generative AI in analytics market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa._x000D_
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Wasay has over a decade of experience in market research, data modelling, and analytics, with prior experience at GlobalData and Decision Tree Consulting Services. At The Business Research Company , he leads research operations across syndicated studies, customized consulting engagements, and the Global Market Model platform. His professional experience includes supporting organizations such as Boston Consulting Group, KPMG, and Ernst & Young. Wasay holds a degree in Electronics and Communications Engineering, postgraduate management qualifications from International Management Institute Belgium and Indian School of Business and Entrepreneurship, and completed the Integrated Program in Business Analytics from Indian Institute of Management Indore.
