Autonomous Data Platform Market is predicted to reach USD 9.1 Billion at a CAGR of 22.20% during the forecast period 2032

Market Research Future (MRFR) has published on the “Global Autonomous Data Platform Market”

that contains information from 2018 to 2032. The Autonomous Data Platform market is estimated to register a CAGR of 22.20% during the forecast period of 2023 to 2032.

MRFR recognizes the following companies as the key players in the global autonomous data platform market— Oracle Corporation, Teradata, IBM, Amazon Web Services, Inc., Hewlett Packard Enterprise Development LP, Qubole, Inc., Cloudera, Inc., Gemini Data, Denodo Technologies, and Alteryx, Inc.

Market Highlights

The global autonomous data platform market is accounted to register a CAGR of 22.20% during the forecast period and is estimated to reach USD 9.1 Billion by 2032.

As businesses look to automate and streamline their data management procedures, the autonomous data platform industry is growing quickly. The self-governed data integration, data quality management, and data governance offered by these platforms are made possible by AI and machine learning algorithms. The demand for organisations to extract useful insights from their massive amounts of data in a time- and money-efficient manner is what is driving the market.

Segment Analysis

The global autonomous data platform market has been segmented based component, services, deployment, enterprise and end use.

On the basis of component, the market is segmented into includes platform and services. In 2022, the platform category dominated the world market. This is a result of rising technical advancements, such as the advent of digital and cloud-based platforms, as well as an increase in the demand for analytics, which is anticipated to drive the segment's expansion.

Based on services, the global autonomous data platform market has been segmented into advisory, integration, and support & maintenance In 2022, the integration category was the dominant one. Due to numerous viruses and the incredibly sensitive information the organisation manages, file corruption can result in data loss.

Based on deployment, the global autonomous data platform market has been segmented into on-premises and cloud. In 2022, the on-premises category dominated the world market. On-premises implementation is employed in businesses where identification and privacy are essential elements of daily operations since it is regarded to be safer than cloud deployment.

Based on enterprise, the global autonomous data platform market has been segmented into large enterprise and small and medium enterprise (SME). Large enterprise segment dominated the global Autonomous Data Platform market in 2022. Due to the advancement towards digitalization and the effective use of technology to automate and accelerate business processes, it is anticipated that the large enterprise segment would grow over the course of the projected period.

Based on end use, the global autonomous data platform market has been segmented into BFSI, healthcare, retail, manufacturing, it and telecom, government, and others (travel & hospitality, transportation & logistics, and energy & utilities). In 2022, the BFSI category was in charge of the global market for autonomous data platforms. The autonomous data platform has mostly been embraced by the BFSI industry. Financial institutions are experiencing difficulty offering specialist services while safeguarding customer data as a result of shifting consumer behaviour.

Regional Analysis

The global autonomous data platform market, based on region, has been divided into the North America, Europe, Asia-Pacific, and Rest of the World. North America consists of US and Canada. The Europe Autonomous Data Platform market comprises of Germany, France, the UK, Italy, Spain, and the rest of Europe. The Autonomous Data Platform market in Asia-Pacific has been segmented into China, India, Japan, Australia, South Korea, and the rest of Asia-Pacific. The Rest of the World Autonomous Data Platform market comprises of Middle East, Africa, and Latin America.

The largest market share for Autonomous Data Platform was maintained by the North American regional sector. Because it is home to the majority of developed economies, including the United States and Canada, the region is considered to be the most advanced in terms of adopting cutting-edge technology and cloud-based solutions. An enormous market expansion is being fueled by the widespread usage of mobile phones and the internet in North America.

Moreover, in 2022, the Europe autonomous data platform market held a sizable market share. The regional autonomous data platform industry is predicted to experience new growth opportunities as a result of significant investments made in R&D activities to expand the capabilities of these platforms. The demand for autonomous data platforms is also being aided by firms' ability to combine customer data from several sources onto a single platform, saving hours of computational effort.

Additionally, the Asia Pacific autonomous data platform market is expected to register significant growth from 2023 to 2032. The industry is predicted to continue expanding quickly since decision-making is increasingly aided by AI and machine learning.

Furthermore, the rest of the world's autonomous data platform market is divided into the Middle East, Africa, and Latin America. There is a demand for automated solutions that can handle data integration, governance, and quality control due to the increasing volumes of data generated in the area. To streamline their data operations and gain useful insights from their data assets, LATAM organisations are embracing AI-powered autonomous data platforms.

Key Findings of the Study

• The global autonomous data platform market is expected to reach USD 9.1 Billion by 2032, at a CAGR of 22.20% during the forecast period.


• The Asia-Pacific region accounted for the fastest-growing global market due to The industry is predicted to continue expanding quickly since decision-making is increasingly aided by AI and machine learning


• Based on component, the platform sector segment was attributed to holding the largest market.


• Oracle Corporation, Teradata, IBM, Amazon Web Services, Inc., Hewlett Packard Enterprise Development LP, Qubole, Inc., Cloudera, Inc., Gemini Data, Denodo Technologies, and Alteryx, Inc.