AI Data Management Market Poised for Robust Growth, forecasted to Expand at 24% CAGR from 2024-30

MarkNtel Advisors has released its latest report highlighting strong growth in The Global AI Data Management Market size was valued at around USD 23.8 billion in 2023 & is estimated to grow at a CAGR of around 24% during the forecast period, i.e., 2024-30.

Report Coverage: Size, Scope and Share

This report offers a comprehensive analysis of the AI Data Management Market, providing valuable insights across historical trends, current dynamics, and future forecasts.

• Base Year: 2023
• Forecast Years: 2024-30
• Historical Years: 2019-22

How big is AI Data Management Market?

With the growth in the global economy and the expansion of sectors like BFSI, telecom, retail, healthcare, etc., the demand for data management has also amplified significantly. Globalization and the interconnectedness of economies have created vast opportunities for businesses to expand their operations across borders, resulting in the incorporation of corporate offices worldwide. Additionally, advancements in technology, particularly in communication and digitalization, have facilitated collaboration and enhanced market access, enabling businesses to operate more efficiently and effectively on a global scale.

What factor drive AI Data Management market growth during 2024-30?

Expansion of the Healthcare Sector to Drive the Demand for AI Data Management – The increasing aging populations and longer life expectancies are resulting in a heightened demand for healthcare services worldwide. Moreover, advancements in medical technology and pharmaceuticals are broadening treatment options and enhancing patient outcomes, leading to increased investment in healthcare. Additionally, the rising prevalence of chronic diseases and lifestyle-related health issues is driving demand for preventive and specialized healthcare services. As specialized services require the utilization of equipment that generates a large amount of data, which needs to be processed, the need for AI data management became significant in the healthcare sector during historical years.

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How AI Data Management Market Are Segmented?

The AI Data Management is categorized into notable segments, which help in understanding the structure, dynamics, and opportunities within the market. These segments are typically based on:

By Offering

• Offering, By Type
  • Platform
  • Software Tools
  • Services
• Offering, By Deployment Mode
  • Cloud
  • On-premises

By Data Type

• Audio Data
• Speech & Voice Data
• Image Data
• Text Data
• Video Data

By Technology

• Machine Learning
• Natural Language Processing
• Computer Vision
• Context Awareness

By Application

• Process Automation
• Data Validation & Noise Reduction
• Data Augmentation
• Exploratory Data Analysis
• Imputation & Predictive Modeling
• Data Anonymization & Compression
• Others

By Vertical

• BFSI
• Telecommunications
• Retail & E-Commerce
• Healthcare & Life Science
• IT/ITes
• Manufacturing
• Government & Defense
• Media & Entertainment
• Energy & Utilities
• Others

By Region

• North America
• South America
• Europe
• The Middle East & Africa
• Asia-Pacific

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Who is the leader in the AI Data Management market?

 By MarkNtel Advisors the Top AI Data Management manufacturer/companies globally are IBM, SAP, Salesforce, Informatica, AWS, SAS Institute, Tera Data, Accenture, Databricks, Qlik, Google, Microsoft, HPE, Snowflake, Collibra, and Others as key players shaping the market landscape.

What are latest advancement in the AI Data Management sector?

• In 2023: Amazon Web Services launched an Advanced Generative AI-powered feature in Amazon DataZone on a trial basis. Its objective was to dramatically decrease the amount of time needed to provide context for organizational data, thereby promoting better comprehension and utilization of discovered data.
• In 2023: Databricks revealed its acquisition of Arcion, which specializes in facilitating swift and dependable data replication across on-premises and cloud databases. Through this acquisition, Databricks aims to furnish native solutions for seamlessly ingesting data from diverse databases and SaaS applications into the Databricks Lakehouse Platform.

Why This Research Report:

• In-depth Market Analysis: Understand trends and dynamics shaping growth.
• Segmented Insights: Target specific segments for focused strategies.
• Regional Performance: Assess market opportunities by geographic area.
• Emerging Technologies: Discover advancements like AI integration.
• Risk Identification: Pinpoint challenges to inform strategic planning.
• Future Forecasts: Prepare for market changes with actionable projections.

Need tailored data? We offer customized forecasts by region, product segmentation, and competitive intelligence upon request — now with an exclusive special pricing offer – Customized Link

Other Report:

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