The AI Data Management Market is being driven by Proliferation of generative AI and large language models
The AI Data Management Market is expected to grow at a CAGR of 19.7% during 2024 and 2029. During this period, the market is also expected to show a growth of USD 51042 million. The global AI data management market is experiencing a significant shift from a model-centric to a data-centric approach in Artificial Intelligence (AI) development. This transition places data at the core of AI system enhancement, moving the focus away from model architecture adjustments towards the systematic engineering of training and evaluation datasets. Data is no longer considered a passive asset but a dynamic, programmable product that is continuously improved, versioned, and managed with the same meticulousness as software code. This industrialization of data curation is a direct response to the recognition that data quality, diversity, and integrity are the primary determinants of model accuracy, fairness, and robustness, particularly in enterprise applications with high stakes.
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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 |
237 |
Base year |
2024 |
Historic period |
2019-2023 |
Forecast period |
2025-2029 |
Growth momentum & CAGR |
Accelerate at a CAGR of 19.7% |
Market growth 2025-2029 |
USD 51042 million |
Market structure |
fragmentation |
YoY growth 2024-2025(%) |
19.3 |
Key countries |
US, China, Japan, Canada, Germany, UK, India, South Korea, France, and Italy |
Competitive landscape |
Leading Companies, Market Positioning of Companies, Competitive Strategies, and Industry Risks |
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In the AI Data Management Market, key components include designing data pipelines, deploying AI models, ensuring data quality, implementing security measures, utilizing data visualization tools, and adopting cloud data solutions. Data lake implementation, versioning systems, anomaly detection, predictive analytics, real-time processing, and data integration tools are essential for big data infrastructure. Data governance strategies encompass data access, lineage, privacy compliance, and bias detection. Model monitoring systems, preprocessing steps, quality monitoring, validation techniques, performance metrics, statistical modeling methods, metadata management, encryption techniques, and data lifecycle management are also crucial aspects.
The AI Data Management Market is a segment of the larger IT software industry, focusing on the development and implementation of data management solutions utilizing data integration pipelines, machine learning models, data governance frameworks, and AI-powered data cleansing. This market encompasses businesses providing software solutions that facilitate efficient data processing, ensuring data accuracy, and enabling data-driven decision-making. Technavio's market analysis calculates the market size based on the consolidated revenue of these specialized companies, contributing to the application software sector within the IT software market.. Industries are leveraging the products belonging to the market for customer engagement, transactional notifications, and promotional offers.
Technavio Research
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