How big is the Autonomous Data Platform Market?

The Autonomous Data Platform Market size is expected to reach USD 1.77 billion in 2024 and grow at a CAGR of 20.33% to reach USD 4.46 billion by 2029. Read More

What is the current Autonomous Data Platform Market size?

In 2024, the Autonomous Data Platform Market size is expected to reach USD 1.77 billion. Read More

Who are the key players in Autonomous Data Platform Market?

Oracle Corporation, International Business Machines Corporation , Amazon Web Services, Teradata Corporation and Qubole Inc are the major companies operating in the Autonomous Data Platform Market. Read More

Which is the fastest growing region in Autonomous Data Platform Market?

Europe is estimated to grow at the highest CAGR over the forecast period (2024-2029). Read More

Which region has the biggest share in Autonomous Data Platform Market?

In 2024, the North America accounts for the largest market share in Autonomous Data Platform Market. Read More

What years does this Autonomous Data Platform Market cover, and what was the market size in 2023?

In 2023, the Autonomous Data Platform Market size was estimated at USD 1.47 billion. The report covers the Autonomous Data Platform Market historical market size for years: 2019, 2020, 2021, 2022 and 2023. The report also forecasts the Autonomous Data Platform Market size for years: 2024, 2025, 2026, 2027, 2028 and 2029. Read More

Autonomous Data Platform Market Size & Share Analysis - Industry Research Report

Autonomous Data Platform Market Size & Share Analysis - Growth Trends & Forecasts (2024 - 2029)

The Autonomous Data Platform Market is segmented by Organization Size (Large Enterprises, Small and Medium-Sized Enterprises), Deployment Type (On-Premises, Cloud), End-user Vertical (BFSI, Healthcare and Life Sciences, Retail and Consumer Goods, Manufacturing, Telecommunication and Media, Government), and Geography.

Autonomous Data Platform Industry Overview

The Autonomous Data Platform Market is concentrated with major legacy players dominating the market like IBM, Microsoft, and Teradata Corporation. Since companies are concerned regarding the privacy and management of their employee/customer data, they trust established vendors more rather than new entrants. The proliferation of data has pushed data management platform vendors, such as Oracle, MapR, and AWS, to develop and design autonomous data platforms that help IT teams simplify and manage processes. The autonomous data platform providers are competing with each other to expand their market coverage and increase their presence in newer markets.

June 2020 - Anaconda, Inc. provider of the leading Python data science platform and IBM Watson announced a new collaboration to help simplify enterprise adoption of AI open-source technologies. By working together, the two companies plan to help fuel innovation and address the AI and data science skills gap that many enterprises face. Anaconda Team Edition repository will be integrated with IBM Watson Studio on IBM Cloud Pak for Data, enabling organizations to better govern and speed the deployment of AI open-source technologies across any cloud.
Feb 2020 - Oracle announced the availability of the Oracle Cloud Data Science Platform. At the core is Oracle Cloud Infrastructure Data Science, helping enterprises to collaboratively build, train, manage and deploy machine learning models to increase the success of data science projects, helping improve the effectiveness of data science teams with capabilities like shared projects, model catalogs, team security policies, reproducibility and auditability.