Generative AI In Analytics Market Report 2026

Generative AI In Analytics Market Overview

• Generative AI In Analytics market size has reached to $1.69 billion in 2025 • Expected to grow to $5.51 billion in 2030 at a compound annual growth rate (CAGR) of 25.7% • Growth Driver: AI-Generated Content Fuels The Growth Of Generative AI in The Analytics Market • Market Trend: AI-Powered Platforms Revolutionizing Data Analytics And Decision-Making • North America was the largest region in 2025 and Asia-Pacific is the fastest growing region.

What Is Covered Under Generative AI In Analytics Market?

Generative AI in analytics refers to the branch of artificial intelligence focused on creating models and algorithms capable of generating new and meaningful data, insights, or content based on patterns and existing datasets. It harnesses the power of data-driven insights to drive innovation, optimize decision-making processes, and uncover hidden patterns that may not be readily apparent through traditional analytical methods. The main technologies of generative AI in analytics are machine learning, natural language processing, deep learning, computer vision, and robotic process automation. Machine learning refers to a branch of artificial intelligence that enables computers to learn from data and improve their performance on specific tasks without being explicitly programmed. It is deployed based on cloud-based and on-premise modes, and are used for different applications including data augmentation, anomaly detection, text generation, simulation, and forecasting.

What Is The Generative AI In Analytics Market Growth Forecast?

The generative AI in analytics market size is expected to see exponential growth in the next few years. It will grow to $5.51 billion in 2030 at a compound annual growth rate (CAGR) of 25.7%. The growth in the forecast period can be attributed to widespread adoption of generative models, demand for real-time analytics, expansion of self-service analytics, increasing focus on predictive accuracy, integration of AI across enterprise workflows. Major trends in the forecast period include automated insight generation, synthetic data creation, predictive scenario modeling, conversational analytics interfaces, context-aware decision support.

Global Generative AI In Analytics Market Segmentation

1) By Technology: Machine Learning, Natural Language Processing, Deep Learning, Computer Vision 2) By Deployment: Cloud-Based, On-Premise 3) By Application: Data Augmentation, Anomaly Detection, Text Generation, Simulation And Forecasting Subsegments: 1) By Machine Learning: Supervised Learning, Unsupervised Learning, Semi-Supervised Learning 2) By Natural Language Processing (NLP): Text Generation, Sentiment Analysis, Language Translation, Speech Recognition 3) By Deep Learning: Neural Networks, Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN), Generative Adversarial Networks (Gans) 4) By Computer Vision: Image Classification, Object Detection, Image Generation

What Is The Driver Of The Generative AI In Analytics Market?

The growing demand for AI-generated content is expected to propel generative AI in analytics market going forward. AI-generated content refers to digital content such as text, images, or videos, that is created or produced using artificial intelligence algorithms and technologies. The growing demand for AI-generated content is driven by its ability to efficiently deliver personalized and relevant content at scale, enhancing user engagement and reducing business production costs. Generative AI models can analyze large datasets to identify patterns, trends, and insights that can be used to generate content such as articles, reports, and creative works. For instance, in February 2024, according to DOIT Software, a US-based company that specializes in business software and AI tools, the generative AI platform ChatGPT estimated 57 million individuals engaged with ChatGPT in 2022, with usage soaring to 100 million by January 2023. Therefore, the growing demand for AI-generated content drives the growth of the generative AI in analytics industry.

Key Players In The Global Generative AI In Analytics Market

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.

Global Generative AI In Analytics Market Trends and Insights

Major companies operating in the generative AI in analytics market are focusing on developing innovative solutions such as artificial intelligence (AI)-powered analytics platforms, to meet the rising demand for faster, more accurate data insights and enhanced decision-making capabilities. Artificial intelligence (AI)-powered analytics platforms leverage generative AI models to automatically analyze large datasets, generate predictive insights, and create natural language summaries, offering a significant upgrade 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, allowing users to ask natural language questions, generate AI-driven visualizations, and receive actionable insights instantly. 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.

What Are Latest Mergers And Acquisitions In The Generative AI In Analytics Market?

In March 2024, Databricks Inc., a US-based artificial intelligence company, acquired Lilac AI for an undisclosed amount. Databricks acquiring Lilac AI aims to simplify unstructured data evaluation for generative AI. Lilac AI offers a scalable, user-friendly tool for data scientists to search, cluster, and analyze text datasets focusing on generative AI. Lilac AI is a US-based startup specializing in scalable tools for text data analysis in generative AI, focusing on exploring, clustering, and analyzing various types of text datasets.

Regional Insights

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 this market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa. The countries covered in this market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain

What Defines the Generative AI In Analytics Market?

The generative AI in analytics market consists of revenues earned by providing services such as predictive modeling, anomaly detection, and data synthesis. The market value includes the value of related goods sold by the service provider or included within the service offering. The generative AI in analytics market also includes sales of high-performance computing (HPC) systems, specialized processors such as graphical processing units (GPUs) or tensor processing units (TPUs). Values in this market are ‘factory gate’ values, that is, the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors, and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

How is Market Value Defined and Measured?

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD unless otherwise specified). The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

What Key Data and Analysis Are Included in the Generative AI In Analytics Market Report 2026?

The generative ai in analytics market research report is one of a series of new reports from The Business Research Company that provides market statistics, including industry global market size, regional shares, competitors with the market share, detailed market segments, market trends and opportunities, and any further data you may need to thrive in the generative ai in analytics industry. The market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future state of the industry.