Generative Artificial Intelligence (AI) in Data Visualization Market Report 2025

This Generative Artificial Intelligence (AI) in Data Visualization market report delivers an in-depth analysis of the market’s key characteristics, including size, growth potential, and segmentation. It provides a detailed breakdown of the market across major regions and leading countries, highlighting historical data and future growth projections. The report also examines the competitive landscape, market share insights, emerging trends, and strategic developments shaping the market.

The generative artificial intelligence (AI) in data visualization market size has grown rapidly in recent years. It will grow from $4.38 billion in 2024 to $5.04 billion in 2025 at a compound annual growth rate (CAGR) of 15.1%. The growth in the historic period can be attributed to the rise of big data analytics, increasing demand for real-time data insights, the proliferation of cloud computing, the growing use of data-driven decision-making, and the need for enhanced data interpretation across various industries.

The generative artificial intelligence (AI) in data visualization market size is expected to see rapid growth in the next few years. It will grow to $8.79 billion in 2029 at a compound annual growth rate (CAGR) of 14.9%. The growth in the forecast period can be attributed to a growing focus on personalized and interactive data experiences, improvements in generative model capabilities, rising investment in AI research and development, increasing adoption of AI-powered business intelligence tools, and expansion of 5G technology. Major trends in the forecast period include hyper-personalized visual experiences, integration with augmented reality (AR) and virtual reality (VR), advancements in AI-driven predictive analytics, self-service data visualization tools, use of natural language interfaces for data querying.

The increasing growth in data generation is expected to drive the expansion of the generative artificial intelligence (AI) in data visualization market. This rise in data generation is fueled by the growing use of digital technologies, IoT devices, and an expanding internet user base. Generative AI in data visualization helps manage and interpret this vast amount of data by automating insight creation and making complex data more accessible and understandable. For example, in December 2022, The Linux Foundation reported that data growth for an average end-user organization reached 2,208 TB in 2022, a 215.43% increase from the 700 TB recorded in 2021. Consequently, the increasing volume of data generation is propelling the growth of the generative AI in data visualization market.

Key players in the generative AI in data visualization market are focusing on developing advanced solutions, such as AI-driven graphics, to enhance data interpretation, automate visual insights, and improve decision-making processes. AI-driven graphics refer to software that leverages AI to automatically create, enhance, or optimize visual content such as charts, graphs, and designs based on data inputs. For instance, in June 2024, Databricks Inc., a US-based software solutions company, introduced AI/BI, an AI-powered visualization tool that simplifies the process by automatically generating and refining visual representations of complex datasets. This tool is designed to improve data analysis efficiency and accessibility, supporting various applications including business intelligence, data exploration, predictive analytics, anomaly detection, operational monitoring, customized reporting, and interactive data analysis.

In February 2024, Databricks Inc. acquired Einblick Inc. for an undisclosed amount. This acquisition aims to enhance data teams' capabilities by integrating Einblick's innovative technology, which enables users to convert natural language queries into actionable data insights. Einblick Inc. is a US-based provider of a natural language data science notebook and an AI-powered data visualization platform.

Major companies operating in the generative artificial intelligence in data visualization market are Alphabet Inc., Microsoft Corporation, International Business Machines Corporation, Oracle Corporation, NVIDIA Corporation, Salesforce Inc., Baidu Inc., Autodesk Inc., Qlik Technologies AB, MicroStrategy Incorporated, Domo Inc., Sisense Inc., ThoughtSpot Inc., ARKA Software, XenonStack, Yellowfin BI, Plotly, Akaike Technologies Pvt. Ltd., Klipfolio Inc., ClicData Inc., Metabase Inc.

North America was the largest region in the generative artificial intelligence data visualization market in 2024. The regions covered in the generative artificial intelligence in data visualization market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa. The countries covered in the generative artificial intelligence in data visualization market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

Generative artificial intelligence in data visualization involves using advanced AI algorithms and models to automatically create, enhance, and optimize visual representations of data. This technology employs generative methods to produce innovative and insightful visualizations based on data patterns, trends, and user interactions.

The primary types of generative artificial intelligence used in data visualization include Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), and others. GANs are a type of machine learning framework consisting of two neural networks, a generator and a discriminator that work together to improve the quality of generated data. These technologies can be deployed both through cloud-based solutions and on-premises setups for various applications, including exploratory data analysis, business intelligence, and reporting. They are utilized across multiple industries, such as information technology (IT) and telecom, healthcare, finance, retail, and manufacturing.

The generative artificial intelligence in data visualization market research report is one of a series of new reports that provides generative artificial intelligence in data visualization market statistics, including the generative artificial intelligence in data visualization industry's global market size, regional shares, competitors with a generative artificial intelligence in data visualization market share, detailed generative artificial intelligence in data visualization market segments, market trends and opportunities, and any further data you may need to thrive in the generative artificial intelligence in data visualization industry. This generative artificial intelligence in data visualization market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenarios of the industry.

The generative artificial intelligence in data visualization market includes revenues earned by entities by providing services such as implementation services, consulting services, and visualization platform management. The market value includes the value of related goods sold by the service provider or included within the service offering. Only goods and services traded between entities or sold to end consumers are included.

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.

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