The Generative AI In Data Analytics Market is being driven by Democratization of data analytics and increased accessibility
The Generative AI In Data Analytics Market is expected to grow at a CAGR of 35.5% during 2024 and 2029. During this period, the market is also expected to show a growth of USD 4624 million. The generative AI in data analytics market is witnessing a significant shift towards domain-specific and enterprise-tuned AI solutions. While foundational models show impressive capabilities, businesses recognize that their full potential is realized when tailored to industry-specific vocabularies, processes, and data structures. This customization mitigates the risks of hallucinations in niche topics, enhances deep contextual understanding, and safeguards data privacy by reducing the need to send proprietary information to public APIs. Thus, the market is moving away from generic, one-size-fits-all models towards specialized AI solutions.
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The market is segmented based on
According to Technavio, There are several factors that are causing the market to flourish during the forecast period, which are as follows:
However, the market also witnesses some limitations, which are as follows:
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Market Scope |
|
Report Coverage |
Details |
Page number |
246 |
Base year |
2024 |
Historic period |
2019-2023 |
Forecast period |
2025-2029 |
Growth momentum & CAGR |
Accelerate at a CAGR of 35.5% |
Market growth 2025-2029 |
USD 4624 million |
Market structure |
fragmentation |
YoY growth 2024-2025(%) |
28.5 |
Key countries |
US, China, India, Canada, Germany, Japan, UK, France, Brazil, and Mexico |
Competitive landscape |
Leading Companies, Market Positioning of Companies, Competitive Strategies, and Industry Risks |
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In the Generative AI market for Data Analytics, model interpretability and causal inference are crucial for understanding AI-driven insights. Data storytelling and ethics considerations ensure transparency and trust. Privacy-preserving techniques, scalable data solutions, and data version control maintain security and consistency. Interactive data exploration, human-in-the-loop AI, and knowledge graph creation enhance user experience. Semantic search technologies, AI-powered automation, and decision support systems streamline processes. Business intelligence tools, risk assessment models, fraud detection systems, customer segmentation, demand forecasting, pattern recognition, sentiment analysis, image recognition, text summarization, chatbot development, conversational AI, and virtual assistants leverage AI's potential in data analytics.
The Generative AI in Data Analytics market is a segment of the larger IT software industry, focusing on the development and implementation of advanced AI solutions for data cleaning pipelines, predictive modeling techniques, and anomaly detection algorithms. Technavio's market analysis encompasses businesses specializing in generating large language models for data analytics applications. This market size is determined by the consolidated revenue of these companies, which provide software solutions that enhance data analysis capabilities through AI technologies. It is essential to note that this market category excludes companies primarily engaged in interactive home entertainment software or systems software production, such as database management.. Industries are leveraging the products belonging to the market for customer engagement, transactional notifications, and promotional offers.
Technavio Research
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