The AI In Data Quality Market is being driven by Proliferation of big data and escalating data complexity
The AI In Data Quality Market is expected to grow at a CAGR of 22.9% during 2024 and 2029. During this period, the market is also expected to show a growth of USD 1895.3 million. The AI in data quality market is experiencing a significant shift with the integration of generative artificial intelligence and large language models (LLMs). This evolution marks a pivotal moment, surpassing the capabilities of traditional machine learning. It revolutionizes the user experience and broadens access to advanced data quality functionalities for non-technical business users. The core innovation lies in the transition from intricate, code-based or menu-driven interfaces to conversational interactions. Users, including business analysts, can now interact with data quality platforms using natural language. For instance, instead of writing intricate SQL queries or setting up intricate rule sets, a business analyst can merely ask, "Please display all customer records from the last quarter with incomplete shipping addresses" or "Generate a summary of data quality issues in the product marketing dataset."
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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 |
229 |
Base year |
2024 |
Historic period |
2019-2023 |
Forecast period |
2025-2029 |
Growth momentum & CAGR |
Accelerate at a CAGR of 22.9% |
Market growth 2025-2029 |
USD 1895.3 million |
Market structure |
fragmentation |
YoY growth 2024-2025(%) |
21.0 |
Key countries |
China, India, Japan, South Korea, UK, Germany, France, Italy, US, and Canada |
Competitive landscape |
Leading Companies, Market Positioning of Companies, Competitive Strategies, and Industry Risks |
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In the AI-driven Data Quality Market, data undergoes rigorous evaluation through Data Quality Scores, adhering to Data Quality Rules and Dimensions. Data Profiling Software and Data Validation Rules ensure Data Quality Issues are identified and addressed. Data Quality Automation streamlines workflows, while Reporting and Analytics provide insights. Strategies, policies, and lifecycles guide Data Quality, with challenges met by innovative Solutions. Professionals like Data Quality Analysts and Engineers employ Data Cleansing Tools, Governance Tools, and Certification for Data Maturity. Consulting services offer expert guidance.
The AI in Data Quality market is a segment of the larger IT software industry, focusing on application software that enhances data cleansing and validation processes. Companies in this sector employ data quality metrics and AI-driven solutions, utilizing machine learning algorithms to ensure data accuracy and consistency. These advanced techniques enable businesses to maintain high-quality databases, improving operational efficiency and driving better decision-making. The global IT software market, encompassing application software providers, generates substantial revenue through the development and distribution of specialized software solutions. Technavio's market analysis calculates the size of the IT software market based on the combined revenue of all software companies, including those specializing in AI-driven data quality solutions.. Industries are leveraging the products belonging to the market for customer engagement, transactional notifications, and promotional offers.
Technavio Research
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