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What Is The Leading Driver Behind Rise In Cloud Computing Adoption Fueling The Growth Of The Market Due To Enhancing Data Governance And Automation Through Artificial Intelligence (AI) In Data Quality Market Expansion in 2025
Artificial Intelligence (AI) In Data Quality
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What Will the Artificial Intelligence (AI) In Data Quality Industry Market Size Be by 2025?_x000D_
The market size for artificial intelligence (AI) in data quality has been experiencing a rapid expansion in recent times. It is anticipated to escalate from $1.19 billion in 2024 to $1.48 billion in 2025, boasting a compound annual growth rate (CAGR) of 24.7%. The robust growth observed in the previous years is largely due to a surge in data accumulation across various businesses, growing requirement for business intelligence, adoption of cloud-based data technologies, early funding in AI technologies, and heightened data compliance norms._x000D_
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What's the Long-Term Growth Forecast for the Artificial Intelligence (AI) In Data Quality Market Size Through 2029?_x000D_
Expectations for the artificial intelligence (ai) in data quality market size suggest significant expansion in the coming years, possibly reaching a value of $3.59 billion by 2029. This projects an annual growth rate of 24.9% (CAGR). Such growth projection within the forecast timeline can be traced back to increases in real-time data processing needs, integration with cloud-native platforms, demand for data quality tools with automation capabilities, expanding use of AI in data governance, and the rising significance of predictive analytics. Predicted key trends within this interval include the uptake of generative artificial intelligence (AI) in data synthesis, a shift towards self-operated data quality platforms, application of AI in master data management, the merger of AI and data fabric architecture, and an emphasis on explainable AI in data quality._x000D_
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What Are the Key Growth Drivers Fueling the Artificial Intelligence (AI) In Data Quality Market Expansion?_x000D_
The proliferation of cloud computing is predicted to stimulate the expansion of artificial intelligence (AI) in the data quality market. The term cloud computing adoption signifies the transition from traditional, on-site IT structures to cloud-based platforms, which provide flexible, affordable, and remotely accessible computing capabilities. The primary factors propelling cloud adoption are digital transformation endeavors across various industries and the requirement for agile data management. Artificial intelligence (AI) boosts the quality of data in cloud settings by automating processes like data profiling, cleansing, and validation, consequently securing data accuracy and integrity for real-time decision-making. For instance, as stated by Eurostat, the European Union's statistical agency based in Luxembourg, cloud computing was utilized by 45.2% of EU firms in 2023, a 4.2-point increase since 2021, primarily for email, file storage, and office tools. Consequently, proliferation in cloud computing uptake is fueling growth in artificial intelligence (AI) in the data quality market._x000D_
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What Are the Key Trends Driving Artificial Intelligence (AI) In Data Quality Market Growth?_x000D_
Major businesses in the artificial intelligence (AI) for data quality market are centering their efforts on incorporating generative artificial intelligence to improve the precision of data and operational efficiency. This type of AI, known as Generative AI (GenAI), is designed to produce new content such as text, images, videos, audio, or code, using patterns learned from previous data. An example of this is when Saama Technologies Inc., a software company located in the US, launched a Data Quality (DQ) Co-Pilot as part of their Smart Data Quality (SDQ) platform in September 2023. The advanced feature uses GenAI to automate data quality assessments. Users describe their desired data quality validation and the tool generates and tests the equivalent code, considerably decreasing manual labor and speeding up clinical trial processes._x000D_
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How Is the Artificial Intelligence (AI) In Data Quality Market Segmented?_x000D_
The artificial intelligence (ai) in data qualitymarket covered in this report is segmented - _x000D_
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1) By Component: Software, Services_x000D_
2) By Deployment Mode: Cloud-Based, On-premise_x000D_
3) By Organization Size: Small And Medium-Sized Enterprises, Large Enterprises_x000D_
4) By Industry Vertical: Banking, Financial Services, and Insurance (BFSI), Information Technology (IT) And Telecommunications, Healthcare, Retail And E-commerce, Manufacturing, Government And Public Sector, Other Industry Verticals_x000D_
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Subsegments:_x000D_
1) By Software: Data Profiling Tools, Data Cleansing Tools, Data Monitoring And Validation Tools, Data Integration Software, Master Data Management (MDM) Solutions, Metadata Management Tools, Predictive Data Quality Analytics_x000D_
2) By Services: Professional Services, Managed Services, Consulting Services, Implementation And Integration Services, Training And Support Services_x000D_
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Which Companies Are Leading the Charge in Artificial Intelligence (AI) In Data Quality Market Innovation?_x000D_
Major companies operating in the artificial intelligence (AI) in data quality market are Alphabet Inc., Microsoft Corporation, Amazon Web Services, accenture* plc, International Business Machines Corporation (IBM), Oracle Corporation, SAP SE, Salesforce.com Inc., Experian plc., Collibra, Dataiku, Sas Institute Inc., Teradata, Informatica Inc., Snowflake Inc., Alteryx Inc., QlikTech International AB, Precisely Corporation, TIBCO Software Inc., Databricks Inc., Ataccama Corporation. _x000D_
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Which Regions Are Leading the Global Artificial Intelligence (AI) In Data Quality Market in Revenue?_x000D_
North America was the largest region in the artificial intelligence (AI) in data quality market in 2024. The regions covered in the artificial intelligence (AI) in data quality market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa._x000D_
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