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AI-Powered Intelligent Data Management Cloud Platforms Revolutionize Data Management Market Trend: A Crucial Influence on the AI in Data Management Market's Transformation in 2025
AI In Data Management Market
What industry-specific factors are fueling the growth of the ai in data management market?
The move towards cloud-based platforms is set to spur the expansion of the AI in data management market. Cloud services encompass a wide range of computing applications and resources provided over the internet via a subscription model. Increasing acceptance of cloud services results from their ability to support remote work, digital transformation, and the scalability and agility needs of contemporary businesses. AI in cloud-based data management platforms offer automated data integration, analysis, and governance, leading to efficient, scalable, and intelligent data processing and decision-making. For example, Eurostat, a Luxembourg-based intergovernmental organization, reported in December 2023 that 45.2% of enterprises in the European Union had availed cloud computing services primarily for hosting email systems, storing electronic files, and executing various tasks. Compared to 2021, EU enterprises' procurement of cloud computing services saw a 4% rise in 2023. Large enterprises, in particular, displayed significant adoption rate, with 77.6% indicating they purchased such services in 2023, marking a 6% growth from 2021. As a result, the transition to cloud-based platforms is catalyzing the expansion of the AI in data management market.
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What Is the projected market size and growth rate for the ai in data management market?
The market size for AI in data management has witnessed incredible growth recently. Its size is predicted to increase from $34.76 billion in 2024 to $43.85 billion in 2025, demonstrating a compound annual growth rate (CAGR) of 26.2%. The historic growth is primarily due to the escalation in data production, advancements in machine learning technologies, widespread utilization of cloud computing, digital transformation, amidst concerns about data privacy and security.
In the coming years, the market size for AI in data management is set to witness a massive growth spurt, escalating to a staggering $109.82 billion in 2029 at a compound annual growth rate (CAGR) of 25.8%. This projected growth can be traced back to several factors such as the expansion of healthcare industry, increased utilization of AI in automating processes, integration of AI in various business operations and an enhanced emphasis on data analytics for deriving strategic business insights. Key trends to watch for during the forecast period include the use of data fabric for smooth integration, incorporation of AI and automation, adoption of low-code/no-code platforms, and an increased attention towards data security and privacy.
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What new trends are reshaping the ai in data management market and its opportunities?
Several leading firms in the AI in data management market are turning their attention to the development of advanced solutions - like AI-fueled intelligent data management cloud platforms - as a strategy to outshine their competitors. AI-fueled intelligent data management cloud platforms are sophisticated cloud-based systems that employ artificial intelligence (AI) to boost and automate diverse components of data management. For example, in April 2024, Informatica Inc., an American software company, unveiled Saudi Arabia's inaugural AI-fueled Intelligent Data Management Cloud (IDMC). The platform employs Informatica's CLAIRE AI technology to mechanize data management duties, enhance data integration, and boost overall business results. IDMC is a thorough cloud-native solution that links, centralizes, and democratizes data, permitting establishments to effectively handle their data across different cloud and hybrid settings. The platform's goal is to facilitate data-driven transformations by harnessing AI and machine learning capabilities to simplify processes and enrich decision-making.
What major market segments define the scope and growth of the ai in data management market?
The AI in data managementmarket covered in this report is segmented -
1) By Component: Solution, Services
2) By Deployment Mode: Cloud-Based, On-Premise
3) By Technology: Machine Learning, Natural Language Processing, Computer Vision, Other Technologies
4) By Application: Data Search And Retrieval, Data Analytics, Data Classification, Data Integration, Data Security, Other Applications
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
Subsegments:
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
2) By Services: Consulting Services, Implementation Services, Managed Services, Support And Maintenance Services, Training And Education Services, Integration Services, Data Migration Services
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Which region dominates the ai in data management market?
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.
Which key market leaders are driving the ai in data management industry growth?
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
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What Is Covered In The AI in Data Management Global Market Report?
•Market Size Forecast: Examine the ai in data management market size across key regions, countries, product categories, and applications.
•Segmentation Insights: Identify and classify subsegments within the ai in data management market for a structured understanding.
•Key Players Overview: Analyze major players in the ai in data management market, including their market value, share, and competitive positioning.
•Growth Trends Exploration: Assess individual growth patterns and future opportunities in the ai in data management market.
•Segment Contributions: Evaluate how different segments drive overall growth in the ai in data management market.
•Growth Factors: Highlight key drivers and opportunities influencing the expansion of the ai in data management market.
•Industry Challenges: Identify potential risks and obstacles affecting the ai in data management market.
•Competitive Landscape: Review strategic developments in the ai in data management market, including expansions, agreements, and new product launches.
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