Market Overview:

The AI Data Management Market size is estimated to reach $123.94 Billion by 2031, growing at a CAGR of 20.1% during the forecast period 2025-2031, according to a recent report published by IndustryARC, titled, “AI Data Management Market – By Offering (Platforms, Software Tools, Services), By Deployment Mode (Cloud, On-premises), By Data Type (Audio Data, Speech & Voice Data, Text Data, Image Data, Video Data, and Others), By Technology (Machine Learning (ML), Natural Language Processing (NLP), Context Awareness, and Computer Vision), By Application (Data Augmentation, Exploratory Data Analysis, Data Anonymization & Compression, Data Validation & Noise Reduction, and Others), By Vertical (BFSI, Retail & E-commerce, Government & Public Sector, Healthcare & Life Sciences, Energy & Utilities, Manufacturing, Media & Entertainment, IT & Telecom, Others), By Geography – Global Opportunity Analysis & Industry Forecast, 2025 – 2031”.


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Scope of the Report: 

Report Metric

Details

Base Year Considered

2024

Forecast Period

2025–2031

CAGR

20.1%

Market Size in 2031

$123.94 Billion

Segments Covered

Offering, Deployment Mode, Data Type, Technology, Application, Vertical and Region



 

Geographies Covered

North America (USA, Canada, and Mexico), Europe (UK, Germany, France, Italy, Netherlands, Spain, Russia, Belgium, and Rest of Europe), Asia-Pacific (China, Japan, India, South Korea, Australia, and New Zealand, Indonesia, Taiwan, Malaysia, and Rest of APAC), South America (Brazil, Argentina, Colombia, Chile, and Rest of South America), and Rest of the World (Middle East, and Africa).




 

 

Key Market Players

1.      Microsoft Corporation

2.      Salesforce, Inc.

3.      Amazon Web Services, Inc.

4.      IBM Corporation

5.      Google LLC

6.      Oracle Corporation

7.      SAP SE

8.      Informatica, Inc.

9.      Hewlett Packard Enterprise

10.  Nvidia Corporation

 

 

    

Recent Developments:

•    Companies are integrating generative AI to automate data classification, tagging, and metadata generation. This enhances data discoverability and governance, reducing manual effort. Enterprises now leverage AI-driven models to clean, structure, and analyze unstructured datasets, significantly improving data usability.

•    Additionally, stricter data privacy laws like GDPR, CCPA, and emerging AI regulations, organizations are deploying AI-driven governance frameworks. These solutions use machine learning to detect anomalies, enforce access controls, and ensure compliance in real-time. AI-enhanced governance tools help businesses maintain regulatory adherence while streamlining data operations.

•    In March 2024, Microsoft introduced modern data governance, empowering businesses to harness generative AI's potential amidst escalating cyber threats, regulations, and data complexities. With Purview, leaders can confidently navigate this convergence, ensuring AI readiness and unlocking valuable insights from their expansive data estates.

•    In April 2024, Informatica strengthens its collaboration with Google Cloud, introducing an extension for advanced customer data analytics and enterprise AI applications. This partnership integrates Google Cloud Vertex AI platform, Gemini models, and BigQuery, enhancing global presence and innovation in data-driven solutions.


AI Data Management Market: Competitive Landscape

Key companies profiled in the AI Data Management Market are:

1.    Microsoft Corporation
2.    Salesforce, Inc.
3.    Amazon Web Services, Inc.
4.    IBM Corporation
5.    Google LLC
6.    Oracle Corporation
7.    SAP SE
8.    Informatica, Inc.
9.    Hewlett Packard Enterprise
10.    Nvidia Corporation
 

About IndustryARC™:

IndustryARC primarily focuses on Market Research and Consulting Services specific to Cutting Edge Technologies and Newer Application segments of the market. The company’s Custom Research Services are designed to provide insights into the constant flux in the global demand-supply gap of markets. 
IndustryARC’s goal is to provide the right information required by the stakeholder at the right point in time, in a format that assists an intelligent and informed decision-making process.
 
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