The Growing Trends of Edge Computing in Data Platform Market By CIOTechOutlook Team

The Growing Trends of Edge Computing in Data Platform Market

CIOTechOutlook Team | Saturday, 10 February 2024, 02:11 IST

The global Autonomous Data Platform market will reach USD 6.73 billion by 2030, growing at a CAGR of 23% between 2023 and 2030. An autonomous data platform is a self-managing data infrastructure that employs artificial intelligence and machine learning to automate data ingestion, preparation, integration, governance, and analytics. Autonomous data platforms can assist enterprises in improving data quality, lowering costs, and accelerating time to value.

The increased adoption of artificial intelligence and machine learning for data automation, the emergence of edge computing for real-time data processing, greater emphasis on data governance and ethics, growing use of data lakes and data fabric architectures, rising interest in hybrid and multi-cloud data management solutions, the integration of advanced analytics and data science tools into data platforms, and the development of self-service data analytics capabilities for business users are the trends that aid in the market's growth, as per SkyQuest Tech.

Cloud-based deployments dominated the worldwide internet industry because they provide higher scalability than on-premises alternatives. Organizations may simply extend their data infrastructure as their data volume and processing requirements increase, without the need for large capital investments.

In terms of application, data analytics and business intelligence (BI) are the most popular, as firms across industries increasingly rely on these technologies to obtain insights from their data.

North America is one of the fastest expanding markets, with a strong focus on technology improvements. A thriving technology industry, an innovative culture, and widespread adoption of data analytics and AI technologies.