MarkNtel Advisors, a leading market research and consulting firm, has announced the release of its latest study titled AI Data Management Market Research Report: Forecast (2024–2030). This report provides a detailed assessment of the AI Data Management, covering its evolving dynamics, emerging trends, key growth drivers, major challenges, and competitive landscape.

Designed to guide investors, stakeholders, and business leaders, the research aims to deliver valuable insights for strategic planning, risk assessment, and investment decision-making in the years ahead.

Market Timeline Overview

• Historical Years: 2020–23
• Base Year: 2024
• Forecast Years: 2024–30

This helps businesses identify emerging opportunities, assess market risks, and develop data-driven strategies for long-term success.

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In case you missed it, we are currently revising our reports. Click on the below to get the latest research data with forecast for years 2026 to 2032, including market size, industry trends, and competitive analysis. It wouldn’t take long for the team to deliver the most recent version of the report.

AI Data Management Market Outlook

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. 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.

AI Data Management Market Drivers:

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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AI Data Management Market Trends:

Emergence of AI DataOps Boosting Market Growth – In recent years, the adoption of AI DataOps, which has been developed through the merging of DataOps and artificial intelligence methodologies, has improved significantly. AI DataOps simplifies the management of data at all stages through the utilization of AI algorithms and automation tools. It automates several tasks, such as obtaining data from different sources, preparing it, performing feature engineering, training models, and deployments, as well as monitoring progress continuously. Hence, its adoption has increased in the Global AI Data Management Market to enhance efficiency in handling extensive data sets. It has also been allowing consumers to reduce their time and expense on manual labor and automate large sets of tasks by integrating AI DataOps. Observing this trend in the AI Data Management Industry, companies like Acceldata, CitiusTech, etc., have been introducing their range of AI DataOps solutions.

AI Data Management Market Segmentation

The study categorizes the AI Data Management into various segments and sub-segments, each analyzed for its size, growth potential, and contribution to the overall industry.

By Offering

• Offering, By Type- Market Size & Forecast 2019-2030, (USD Million)
  • Platform- Market Size & Forecast 2019-2030, (USD Million)
  • Software Tools- Market Size & Forecast 2019-2030, (USD Million)
  • Services- Market Size & Forecast 2019-2030, (USD Million)
• Offering, By Deployment Mode- Market Size & Forecast 2019-2030, (USD Million)
  • Cloud- Market Size & Forecast 2019-2030, (USD Million)
  • On-premises- Market Size & Forecast 2019-2030, (USD Million)

By Data Type

• Audio Data- Market Size & Forecast 2019-2030, (USD Million)
• Speech & Voice Data- Market Size & Forecast 2019-2030, (USD Million)
• Image Data- Market Size & Forecast 2019-2030, (USD Million)
• Text Data- Market Size & Forecast 2019-2030, (USD Million)
• Video Data- Market Size & Forecast 2019-2030, (USD Million)

By Technology

• Machine Learning- Market Size & Forecast 2019-2030, (USD Million)
• Natural Language Processing- Market Size & Forecast 2019-2030, (USD Million)
• Computer Vision- Market Size & Forecast 2019-2030, (USD Million)
• Context Awareness- Market Size & Forecast 2019-2030, (USD Million)

By Application

• Process Automation- Market Size & Forecast 2019-2030, (USD Million)
• Data Validation & Noise Reduction- Market Size & Forecast 2019-2030, (USD Million)
• Data Augmentation- Market Size & Forecast 2019-2030, (USD Million)
• Exploratory Data Analysis- Market Size & Forecast 2019-2030, (USD Million)
• Imputation & Predictive Modeling- Market Size & Forecast 2019-2030, (USD Million)
• Data Anonymization & Compression- Market Size & Forecast 2019-2030, (USD Million)
• Others- Market Size & Forecast 2019-2030, (USD Million)

By Vertical

• BFSI- Market Size & Forecast 2019-2030, (USD Million)
• Telecommunications- Market Size & Forecast 2019-2030, (USD Million)
• Retail & E-Commerce- Market Size & Forecast 2019-2030, (USD Million)
• Healthcare & Life Science- Market Size & Forecast 2019-2030, (USD Million)
• IT/ITes- Market Size & Forecast 2019-2030, (USD Million)
• Manufacturing- Market Size & Forecast 2019-2030, (USD Million)
• Government & Defense- Market Size & Forecast 2019-2030, (USD Million)
• Media & Entertainment- Market Size & Forecast 2019-2030, (USD Million)
• Energy & Utilities- Market Size & Forecast 2019-2030, (USD Million)
• Others- Market Size & Forecast 2019-2030, (USD Million)

Geographical Analysis

The report presents detailed insights into the market’s geographical expansion, highlighting key trends and opportunities across the following geographies:

By Region

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

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Leading Companies in AI Data Management Market Worldwide: Players, Analysis & Future Outlook

• IBM
• Microsoft
• AWS
• Informatica
• Google
• Salesforce
• SAP
• SAS Institute
• HPE
• Snowflake
• Tera Data
• Databricks
• Qlik
• Accenture
• Collibra
•  

Key Highlights of the Report

• Comprehensive Market Overview: In-depth analysis of market size, share, and forecasts from 2024 to 2030.
• Growth Drivers & Challenges: Clear insights into factors feeling or restraining market expansion.
• Investment & Regulatory Insights: Evaluation of key policies, funding trends, and collaborations influencing industry performance.
• Competitive Landscape: Detailed profiles of leading companies, including product portfolios, business strategies, financials, and recent developments such as mergers & acquisitions.

Analytical Tools: Application of SWOT Analysis, PESTEL Analysis, and Porter’s Five Forces Model to assess competition and external influences

Browse through our flexible pricing plans and choose the package that best fits your business needs whether you require a single-user license, corporate access, or customized insights. Once you select the plan that suits your requirements, you can purchase and instantly access the full report online – https://www.marknteladvisors.com/pricing/ai-data-management-market.html   

Frequently Asked Questions (FAQ)

1. What is the projected growth rate of the AI Data Management?
   2. What are the major factors driving this market’s growth?
   3. Which regions are expected to lead the AI Data Management?
   4. Who are the prominent players in the AI Data Management?
   5. How is the competition structured in this market?
   6. How can I access the full report?

About Us

MarkNtel Advisors is a global research and consulting leader providing actionable intelligence across the ICT & electronics industry, spanning electronic equipment & services, software, and digital infrastructure. We analyze the impact of technologies like AI, IoT, and cloud computing on global business ecosystems. Through Consulting Services, we help technology providers and investors interpret emerging market data, refine digital strategies, and adapt to continuous innovation cycles in the connected economy.

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