Press release
Cloud-Based Platforms Driving AI in Data Management Market Growth Driver: A Major Catalyst in the Evolution of the AI in Data Management Market in 2025
AI in Data Management Global Market Size Report 2025
The market size for AI in data management has experienced dramatic growth in the past years. It is expected to increase from $34.76 billion in 2024 to $43.85 billion in 2025, with a Compound Annual Growth Rate (CAGR) of 26.2%. A surge in data production, advancements in machine learning technologies, the widespread use of cloud computing, the ongoing process of digital transformation, and concerns over data privacy and security have all contributed to this historic growth period._x000D_
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The market size for AI in data management is projected to experience significant expansion in the coming years. It is estimated that by 2029, it will reach the value of $109.82 billion, with a compound annual growth rate (CAGR) of 25.8%. The surge in growth during the forecast period is due to factors such as the growing healthcare sector, increased reliance on AI for automation, incorporation of AI in business operations, and an increased emphasis on data analytics for strategic business decisions. Key trends expected in the forecast period encompass data fabric for frictionless integration, AI and automation, low-code/no-code platforms, and an emphasis on data security and privacy._x000D_
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What Are the Key Drivers Behind the Growth of the AI in Data Management Market?_x000D_
The AI in data management market is anticipated to grow, propelled by a shift towards cloud-based platforms. Cloud services, which comprise a wide range of applications and computing resources delivered via the internet on a subscription basis, are gaining popularity due to their facilitation of remote work, digital transformation, and the scalability and agility demands of today's businesses. AI incorporated into cloud-based data management platforms automate the data integration, analysis, and governance processes, thereby leading to efficient, scalable, and intelligent data processing and decision making. For example, Eurostat, a Luxembourg-based intergovernmental organization, reported that in December 2023, 45.2% of European Union businesses utilized cloud computing services, predominantly for running email systems, storing electronic files and completing various activities. This indicates a 4% rise in the purchase of cloud computing services by EU businesses in 2023 compared to 2021. Significantly, large enterprises demonstrated substantial adoption rates, with 77.6% disclosing the procurement of such services in 2023, reflecting a 6% rise from 2021. Hence, the trend towards cloud-based platforms is fuelling the expansion of the AI in data management market._x000D_
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Who Are the Major Industry Players Fueling AI in Data Management Market Expansion?_x000D_
Major companies operating in the AI in data management market are Google LLC, Microsoft Corporation, Amazon Web Services Inc., International Business Machines Corporation, Oracle Corporation, SAP SE, Salesforce Inc., Hewlett Packard Enterprise, SAS Institute, Hitachi Vantara Corporation, Snowflake Inc., Palantir Technologies Inc., Databricks Inc., Teradata Corporation, Informatica Inc., TIBCO Software, Alteryx Inc., Qlik, Talend S.A., Sumo Logic Inc., Dataiku, TheMathCompany, Civis Analytics, Sisense_x000D_
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Which Key Developments Are Influencing the AI in Data Management Market?_x000D_
Prime corporations in the AI for data management market are concentrating on creating superior technologies, such as AI-integrated smart data management cloud platforms, to strengthen their market position. These AI-fueled intelligent cloud platforms are sophisticated cloud systems that employ artificial intelligence (AI) to bolster and automate multiple facets of data management. For instance, in April 2024, Informatica Inc., a software firm based in the US, unveiled the first AI-empowered Intelligent Data Management Cloud (IDMC) in Saudi Arabia. The IDMC exploits Informatica's CLAIRE AI technology to address data management, refine data integration, and boost general business results. The IDMC is a comprehensive cloud-based solution that bridges, consolidates, and popularizes data, helping businesses effectively handle their data across multiple cloud and hybrid environments. The platform's goal is to facilitate data-driven transformations by utilizing AI and machine learning to streamline operations and enhance decision-making processes._x000D_
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How Is the Segmentation of the AI in Data Management Market Defined?_x000D_
The AI in data managementmarket covered in this report is segmented -_x000D_
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1) By Component: Solution, Services_x000D_
2) By Deployment Mode: Cloud-Based, On-Premise_x000D_
3) By Technology: Machine Learning, Natural Language Processing, Computer Vision, Other Technologies_x000D_
4) By Application: Data Search And Retrieval, Data Analytics, Data Classification, Data Integration, Data Security, Other Applications_x000D_
5) By Industry Vertical: Banking Financial Services And Insurance (BFSI), Information Technology (IT) And Telecommunications, Healthcare, Retail And E-commerce, Manufacturing, Media And Entertainment, Government And Public Sector, Other Industry Verticals_x000D_
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Subsegments:_x000D_
1) By Solution: Data Integration Solutions, Data Analytics Solutions, Data Governance Solutions, Data Visualization Solutions, Data Quality Management Solutions, Data Security And Privacy Solutions, Cloud-Based Data Management Solutions, AI-Powered Data Warehousing Solutions_x000D_
2) By Services: Consulting Services, Implementation Services, Managed Services, Support And Maintenance Services, Training And Education Services, Integration Services, Data Migration Services_x000D_
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What Is the Leading Region in the AI in Data Management Market?_x000D_
North America was the largest region in the AI in data management market in 2024. The regions covered in the AI in data management market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa._x000D_
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What Is Covered In The AI in Data Management Global Market Report?_x000D_
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- Market Size Analysis: Analyze the AI in Data Management Market size by key regions, countries, product types, and applications._x000D_
- Market Segmentation Analysis: Identify various subsegments within the AI in Data Management Market for effective categorization._x000D_
- Key Player Focus: Focus on key players to define their market value, share, and competitive landscape._x000D_
- Growth Trends Analysis: Examine individual growth trends and prospects in the Market._x000D_
- Market Contribution: Evaluate contributions of different segments to the overall AI in Data Management Market growth._x000D_
- Growth Drivers: Detail key factors influencing market growth, including opportunities and drivers._x000D_
- Industry Challenges: Analyze challenges and risks affecting the AI in Data Management Market._x000D_
- Competitive Developments: Analyze competitive developments, such as expansions, agreements, and new product launches in the market._x000D_
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