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Rising Data Volumes Fuel Growth In Generative AI For Data Visualization: A Key Factor Shaping the Future of the Generative Artificial Intelligence (AI) In Data Visualization Market in 2025
Generative Artificial Intelligence (AI) In Data Visualization Market Size
The market for generative artificial intelligence (AI) in data visualization has seen a swift expansion over the recent past. The market, which is projected to escalate from $4.38 billion in 2024 to $5.04 billion in 2025, will experience a compound annual growth rate (CAGR) of 15.1%. This upward trend during the historical period is associated with the surge in big data analytics, heightened demand for instantaneous data insights, widespread adoption of cloud computing, increasing utilization of data-driven decision-making, and a growing necessity for improved data interpretation across a range of sectors.
The market size of generative artificial intelligence (AI) in data visualization is set to experience a significant surge in the upcoming years, hitting $8.79 billion by 2029, with a compound annual growth rate (CAGR) of 14.9%. This expansion in the future period is due to factors such as the escalation in demand for individualized and interactive data encounters, enhancements in generative model abilities, increased funding in AI investigation and progression, the growing usage of AI-backed business insights instruments, and the proliferation of 5G technology. Notable trends within the projected time frame encompass hyper-personalized visual experiences, amalgamation with augmented reality (AR) and virtual reality (VR), progress in AI-led predictive analytics, self-help data visualization apparatuses, and the application of natural language interfaces for data queries.
What Are the Main Catalysts for Growth in the Generative Artificial Intelligence (AI) In Data Visualization Market?
The upward trajectory in data production is predicted to fuel the expansion of generative artificial intelligence in the data visualization market. The mounting reliance on digital technologies, IoT gadgets, and a burgeoning internet user base all contribute to the surge in data generation. Generative artificial intelligence in data visualization aids in data handling by automating the generation of insights and rendering intricate data more comprehensible and approachable. For instance, a study conducted by The Linux Foundation, an American non-profit consortium, indicated that in December 2022, data growth for an average end-user organization soared to a striking 2,208 TB, marking an uptick of 215.43% and tripling the 700 TB from 2021. As a result, the rising trend in data generation is propelling the generative artificial intelligence in data visualization market growth.
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Which Businesses Are at the Forefront of Generative Artificial Intelligence (AI) In Data Visualization Market Development?
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.
What Are the Major Trends Shaping the Generative Artificial Intelligence (AI) In Data Visualization Market?
Leading firms in the generative artificial intelligence for data visualization market are focusing on creating progressive solutions such as AI-powered graphics to augment data interpretation, streamline visual insights and foster better decision-making. AI-driven graphics are essentially software that utilize artificial intelligence to autonomously create, improve and refine visual content like charts, graphs and designs based on provided data. For example, Databricks Inc., a software solution firm based in the US, introduced an AI-fueled visualization tool called AI/BI in June 2024. This tool uses artificial intelligence to automatically generate and fine-tune visual depictions of intricate datasets, increasing both the efficiency and accessibility of data analysis. It can be applied in various areas, from business intelligence and data exploration to predictive analytics, anomaly detection, operational monitoring, customized reporting and interactive data analysis. These applications are all designed to support better decision-making, increase operational efficiency and provide deeper insights into data.
How Is the Generative Artificial Intelligence (AI) In Data Visualization Market Segmented?
The generative artificial intelligence (AI) in data visualization market covered in this report is segmented -
1) By Technology: Generative Adversarial Networks (GANs); Variational Autoencoders (VAEs); Other Technologies
2) By Deployment: Cloud-Based; On-Premises
3) By Application: Exploratory Data Analysis; Business Intelligence; Reporting; Other Applications
4) By Industry Vertical: Information Technology (IT) And Telecom; Healthcare; Finance; Retail; Manufacturing; Other Industry Verticals
Subsegments:
1) By Generative Adversarial Networks (GANs): Image Generation For Data Visualization; Video And Animation Generation; Data Augmentation For Visualization
2) By Variational Autoencoders (VAEs): Dimensionality Reduction For Visualization; Anomaly Detection And Visualization; Data Smoothing And Reconstruction
3) By Other Technologies: Reinforcement Learning For Visualization; Deep Learning Algorithms For Visual Representation; Neural Networks For Graphical Data Interpretation
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Where Is the Generative Artificial Intelligence (AI) In Data Visualization Market Growth Most Prominent?
North America was the largest region in the generative artificial intelligence in 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.
What Is Covered In The Generative Artificial Intelligence (AI) In Data Visualization Global Market Report?
- Market Size Analysis: Analyze the generative artificial intelligence (ai) in data visualization Market size by key regions, countries, product types, and applications.
- Market Segmentation Analysis: Identify various subsegments within the generative artificial intelligence (ai) in data visualization Market for effective categorization.
- Key Player Focus: Focus on key players to define their market value, share, and competitive landscape.
- Growth Trends Analysis: Examine individual growth trends and prospects in the market.
- Market Contribution: Evaluate contributions of different segments to the overall generative artificial intelligence (ai) in data visualization market growth.
- Growth Drivers: Detail key factors influencing market growth, including opportunities and drivers.
- Industry Challenges: Analyze challenges and risks affecting the generative artificial intelligence (ai) in data visualization market.
- Competitive Developments: Analyze competitive developments, such as expansions, agreements, and new product launches in the market.
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