Autonomous Data Platform Market Size, Share, and COVID-19 Impact Analysis, By Deployment (Cloud, On-premise), By Organization Size (Large Enterprises, Small and Medium Enterprises, and Start-ups), By Vertical (IT and Telecommunication, Healthcare, BFSI, Media, and Others (Government, Travel & Transportation)), Regional Forecast, 2024-2032

An autonomous data platform is an infrastructure for Big Data that operates and optimizes the data by itself. By observing the user's actions, such as which data tables are being used, the number of data clusters being built, and the efficiency of using those clusters, it learns how to handle and manage the data independently.  

It is an automated cloud database application that enhances analytic workloads, including data marts, data lakes, and workloads. Business analysts and data scientists can easily measure business understandings of any type or size of data cost-effectively.

Technological advancements such as cognitive computing, data analytics, and rising demand for cloud-based solutions are driving the autonomous data platform in the coming years. Prioritization of network paradigms and introduction to actionable intelligence to reduce data loss are some additional factors for market growth. Moreover, the introduction of expandable, complex, and unstructured data hinders the development of autonomous data platforms.

An autonomous data platform offers flexibility to organizations enabling them to work as per convenience and requirements. An autonomous data platform provides easy and quick ways to distribute, measure, and integrate critical data. 

Impact of COVID-19 on Autonomous Data Platform:

The COVID-19 pandemic has accelerated the growth of digitization, demand for remote services, location data, investments in data analytics, and real-time tracking.

The pandemic increased businesses' reliance on cloud-based services to process, analyze and share data with remote employees, benefiting the autonomous data platform. Thus, there was an increase in the use of autonomous data platforms due to rise in autonomous operations, permission to network rights, and advanced analytical tools by organizations. 

Moreover, many organizations had to move their client services completely or partially to virtual mode, which eventually helped develop the information technology departments of these organizations.

Key Insights:

The report will cover the following key insights:

• Micro & macroeconomic indicators


• Drivers, restraints, trends, and opportunities          


• Business strategies adopted by the players


• Impact of COVID-19 on the autonomous data platform market

Analysis by Deployment:

The cloud segment accounts for the large revenue share in the autonomous data platform market. The effectiveness and flexibility of cloud-based solutions make them a better choice for users to adopt. It also offers enhanced scalability, lower operation costs, and enduring developments. The virtual environment allows organizations to access data over interconnected devices according to their convenient time. Users can upload the data by connecting over the network instead of storing it on local devices. 

Regional Analysis:

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The global market is analyzed across North America, the Middle East and Africa, South America, Asia Pacific, and Europe.

The North America region holds the major revenue share in the autonomous data platform market due to rapid digitization of businesses and higher penetration of internet and mobile devices, creating opportunities for organizations to connect with the client, channel partners, and other stakeholders. The region has many tech giants such as Intel Corporation, Amazon Web Services, Oracle Corporation, and many others.

Intel finds value in Big Data as the firm uses it to develop chips faster, recognizing glitches and security issues. The firm eases predictive analysis and has invested over USD 200 million in Big Data developments. The White House has also financed over USD 200 million in Big Data developments.

The distribution of the autonomous data platform market by region is as follows:

• North America – 35%


• South America – 10%


• Europe – 20%


• Middle East and Africa – 10%


• Asia-Pacific – 25%

Key Players:

The report includes key players such as Oracle, IBM, Teradata, Amazon Web Services, Inc., Cloudera, Inc., Hewlett Packard Enterprise Development LP, Qubole, Gemini Data, Alteryx, Inc., Denodo Technologies, Denodo, MapR, Ataccama, Zaloni, Datrium, Qubole, DvSum, and many others.

Segmentation:

Key Industry Developments: 

• In October 2022, in collaboration with Microsoft, Mercedes-Benz launched the MO360 data platform. This data platform connects passenger car plants to the cloud platform. It makes car production more sustainable, efficient, and reliable. Production efficiency is expected to rise by 20% by 2025.


• In August 2022, Cloudera launched the Cloudera (CDP) data platform. It is a one-data platform that offers software as a service for easy and quicker independent analytics and data science on a variety of data.


• In May 2022, Oracle collaborated with Informatica. Informatica is a cloud-based data management software provider. Both firms will offer Big Data, business analytics, data lake houses, and database servers through leading market cloud management, regulatory, and connectivity solutions.