Agentic AI for Data Engineering Market to Grow by US$ 3768.7 million between 2024  and 2029, driven by increasing demand for real-time data processing and analytics- Technavio

• Technavio, a leading global technology research and advisory company, today announced the publication of its latest market report, "Agentic AI For Data Engineering Market." The report forecasts the market to grow by by USD 3768.7 million  during the period 2024 –2029, exhibiting a compounded annual growth rate (CAGR) of 39.2%. The agentic AI for data engineering market is undergoing a transformative shift towards autonomous data pipelines, driven by the intricacy and expansiveness of modern enterprise data.
• This development signifies a substantial progression from conventional extract, transform, load (ETL) techniques, which frequently necessitated manual intervention and configuration. Agentic AI systems now possess the ability to autonomously monitor data streams, recognize abnormalities, and dynamically modify pipeline configurations to ensure peak performance and data accuracy.
• This automation encompasses self-optimizing ETL processes, which learn from historical operational data and adapt their transformation rules and loading strategies in real time. The objective is to establish a data infrastructure that necessitates minimal human intervention, thereby decreasing operational expenses and expediting data accessibility for analytics and decision-making.

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Key Market Insights

Our comprehensive analysis reveals several key findings from the report:

• YoY growth 2024-2025(%): The market is projected to grow by 36.3% during the forecast period.
• Key Growth Drivers: Increasing demand for real-time data processing and analytics, Automation and optimization of data pipeline efficiency, Enhanced data governance, quality, and security. Together, these drivers will shape the future trajectory of the market over the forecast period.
• Major Market Challenges: While drivers will fuel market expansion, Data governance and compliance complexities, Interoperability and integration with legacy systems, Talent scarcity and skill gaps are expected to moderate the pace of growth.

Market Segmentation

The report segments the Agentic AI For Data Engineering Market by:

• Component

  • Solutions
  • Services

• Deployment

  • Cloud
  • On-premises

• End-user

  • BFSI
  • Healthcare
  • Others

• Geography

  • North America
    • US
    • Canada
  • Europe
    • France
    • Germany
    • UK
  • APAC
    • Australia
    • China
    • India
    • Japan
  • South America
    • Brazil
  • Middle East and Africa

Competitive Landscape

The market is characterized by intense competition with several key players. The report provides a detailed analysis of the competitive landscape, highlighting key strategies and market positions of leading vendors, including

• Amazon Web Services Inc.
• Anthropic
• Ascension Labs Inc.
• CanData.ai
• Coalesce Automation Inc.
• Databricks Inc.
• Google LLC
• Informatica Inc.
• International Business Machines Corp.
• Microsoft Corp.
• MindsDB.
• Moveworks Inc.
• Seldon Technologies
• Sigmoid
• SnapLogic Inc.
• Snowflake Inc.
• Tredence.Inc.
• Vast Data

Quote from an Analyst

“Emergence of autonomous data pipelines and self-optimizing ETL processes signals strong growth opportunities ahead.” said Senior Analyst at Technavio. This trend is not only creating new opportunities but also reshaping the competitive landscape. Our report provides the strategic insights needed to navigate this dynamic market.

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Research Analysis Overview

• In the realm of Agentic AI for Data Engineering, key elements include managing data engineering workflows, ensuring data versioning, implementing CI/CD pipelines, and orchestrating with Kubernetes. Monitoring dashboards, performance tuning, and scalability solutions are crucial for optimizing costs.
• Automation frameworks, data cataloging, and data lineage promote transparency. Model explainability, statistical modeling, anomaly detection, and data profiling enhance data discovery. Data preparation, transformation, enrichment, validation, and cleansing ensure data quality. Unit, integration, system testing, user acceptance, code review, deployment automation, and infrastructure as code further strengthen the data engineering process.

Market Research Overview

• The Agentic AI For Data Engineering Market is a significant segment of the global Technology Hardware, Storage, and Peripherals Market, encompassing data pipeline automation, machine learning models, ETL process optimization, and data integration tools. According to Technavio, this market is driven by the increasing volume, velocity, veracity, and variety (4Vs) of data.
• The global Technology Hardware, Storage, and Peripherals Market, which includes manufacturers of cellular phones, personal computers, servers, electronic components, and peripherals, as well as data storage components and other related equipment, is projected to grow due to the escalating demand for data storage solutions, primarily driven by the expansion of data centers.. Industries are leveraging the products belonging to the market for customer engagement, transactional notifications, and promotional offers.

About Technavio

Technavio is a leading global technology research and advisory company. Their research and analysis focus on emerging market trends and provide actionable insights to help businesses identify market opportunities and develop effective strategies to optimize their market positions.

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