For business leaders, corporate strategists, and growth-focused teams – this report delivers deep market intelligence, forecasts, segmentation, and competitor insights to guide your decisions through 2034.
What are the growth projections for the generative artificial intelligence (ai) in data visualization market from 2024 to 2029?
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.
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What strategic initiatives by market players are driving generative artificial intelligence (ai) in data visualization industry growth?
The increasing growth in data generation is expected to propel the growth of generative artificial intelligence in data visualization market going forward. The increasing use of digital technologies, IoT devices, and the growing internet user base drives the rise in data generation. Generative artificial intelligence in data visualization helps manage data by automating the creation of insights, making complex data more accessible and understandable. For instance, in December 2022, according to a report published by The Linux Foundation, a US-based non-profit consortium, data growth for an average end-user organization reached a significant 2,208 TB in 2022, an increase of 215.43%, or three times the 700 TB in 2021. Therefore, the increasing growth in data generation is driving the growth of generative artificial intelligence in data visualization market.
What emerging segments are shaping the future landscape of the generative artificial intelligence (ai) in data visualization industry?
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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What are the most notable trends influencing investment in the generative artificial intelligence (ai) in data visualization sector?
Major companies operating in generative artificial intelligence in data visualization market are developing advanced solutions, such as artificial intelligence-driven graphics, to enhance data interpretation, automate visual insights, and improve decision-making processes. Artificial intelligence-driven graphics refer to software that uses AI to automatically generate, 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 solution company, launched AI/BI, an AI-driven visualization tool. This tool simplifies the visualization process by using AI to automatically create and refine visual representations of complex datasets, thereby making data analysis more efficient and accessible. It supports various applications, including business intelligence, data exploration, predictive analytics, anomaly detection, operational monitoring, customized reporting, and interactive data analysis, all aimed at enhancing decision-making, boosting operational efficiency, and offering deeper insights into data.
How are key players in the generative artificial intelligence (ai) in data visualization market strengthening their market position?
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.
Which geographic areas are contributing significantly to the growth of the generative artificial intelligence (ai) in data visualization sector?
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.
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