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The AI in data quality market is forecasted to grow by USD 1.89 billion during 2024-2029, accelerating at a CAGR of 22.9% during the forecast period. The report on the AI in data quality market provides a holistic analysis, market size and forecast, trends, growth drivers, and challenges, as well as vendor analysis covering around 25 vendors.Speak directly to the analyst to clarify any post sales queries you may have.
The report offers an up-to-date analysis regarding the current market scenario, the latest trends and drivers, and the overall market environment. The market is driven by proliferation of big data and escalating data complexity, strategic imperative of advanced analytics and artificial intelligence, and escalating regulatory scrutiny and data governance requirements.
The study was conducted using an objective combination of primary and secondary information including inputs from key participants in the industry. The report contains a comprehensive market size data, segment with regional analysis and vendor landscape in addition to an analysis of the key companies. Reports have historic and forecast data.
The AI in data quality market is segmented as below:
By Component
- Software
- Services
By Deployment
- Cloud-based
- On premises
By Industry Application
- BFSI
- IT and telecommunications
- Healthcare
- Retail and e commerce
- Others
By Geographical Landscape
- North America
- Europe
- APAC
- South America
- Middle East and Africa
The report on the AI in data quality market covers the following areas:
- AI In Data Quality Market sizing
- AI In Data Quality Market forecast
- AI In Data Quality Market industry analysis
The report presents a detailed picture of the market by the way of study, synthesis, and summation of data from multiple sources by an analysis of key parameters such as profit, pricing, competition, and promotions. It presents various market facets by identifying the key industry influencers. The data presented is comprehensive, reliable, and a result of extensive primary and secondary research. The market research reports provide a complete competitive landscape and an in-depth vendor selection methodology and analysis using qualitative and quantitative research to forecast accurate market growth.
Table of Contents
1 Executive Summary
2 Market Analysis
3 Market Landscape
4 Market Sizing
5 Five Forces Analysis
6 Market Segmentation by Component
7 Market Segmentation by Deployment
8 Market Segmentation by Industry Application
9 Customer Landscape
10 Geographic Landscape
11 Drivers, Challenges, and Opportunity/Restraints
12 Competitive Landscape
13 Competitive Analysis
14 Appendix
List of Exhibits
Executive Summary
The following companies are recognized as the key players in the global ai in data quality market: Alteryx Inc., Amazon Web Services Inc., Ataccama Corp., Collibra, Databricks Inc., Dataiku Inc., Experian Plc, Google LLC, Informatica Inc., International Business Machines Corp., Microsoft Corp., Oracle Corp., Precisely, QlikTech International AB, Salesforce Inc., SAP SE, SAS Institute Inc., Snowflake Inc., Teradata Corp., and TIBCO Software Inc..Commenting on the report, an analyst from the research team said: "The latest trend gaining momentum in the market is fusion of generative ai and natural language interfaces."
According to the report, one of the major drivers for this market is the proliferation of big data and escalating data complexity.
The study was conducted using an objective combination of primary and secondary information including inputs from key participants in the industry. The report contains a comprehensive market and vendor landscape in addition to a SWOT analysis of the key vendors.
Companies Mentioned (Partial List)
A selection of companies mentioned in this report includes, but is not limited to:
- Alteryx Inc.
- Amazon Web Services Inc.
- Ataccama Corp.
- Collibra
- Databricks Inc.
- Dataiku Inc.
- Experian Plc
- Google LLC
- Informatica Inc.
- International Business Machines Corp.
- Microsoft Corp.
- Oracle Corp.
- Precisely
- QlikTech International AB
- Salesforce Inc.
- SAP SE
- SAS Institute Inc.
- Snowflake Inc.
- Teradata Corp.
- TIBCO Software Inc.
