Autonomous Data Platform Market Scope
Autonomous Data Platform provides end-to-end automation to the end-user industry for security, performance, error prevention, provisioning, updates, and availability. These platforms consist of built-in capabilities that are designed to protect malicious attacks both internally and externally. These platforms provide advantages such as easy and fast data loading into the autonomous data warehouse, high-performance data ingestion, and query engine, etc. The increasing need for self-managing and self-optimizing unstructured data will boost market growth.
According to AMA, the Global Autonomous Data Platform market is expected to see growth rate of 23.31%
Global autonomous data platform market is highly fragmented and consist of several key players. These players are adopting strategies such as product launch & developments, agreements, partnerships, acquisitions, and other strategies to increase their hold in the market.
Oracle (United States), Teradata (United States), IBM (United States), AWS (United States), MapR (United States), Cloudera (United States), Qubole (United States), Ataccama (Canada), Gemini Data (United States), DvSum (United States), Denodo (United States), Zaloni (United States), Datrium (United States), Paxata (United States) and Alteryx (United States) are some of the key players that are part of study coverage.
About Approach
The research aims to propose a patent-based approach in searching for potential technology partners as a supporting tool for enabling open innovation. The study also proposes a systematic searching process of technology partners as a
preliminary step to select the emerging and key players that are involved in implementing market estimations. While patent analysis is employed to overcome the aforementioned data- and process-related limitations, as expenses occurred in that technology allows us to estimate the market size by evolving segments as target market from total available market.
Segmentation Overview
The study have segmented the market of Global Autonomous Data Platform market , by Application (BFSI, Healthcare and Life Sciences, Retail, Manufacturing, Telecommunication and Media, Government and Others) and Region with country level break-up.
On the basis of geography, the market of Autonomous Data Platform has been segmented into South America (Brazil, Argentina, Rest of South America), Asia Pacific (China, Japan, India, South Korea, Taiwan, Australia, Rest of Asia-Pacific), Europe (Germany, France, Italy, United Kingdom, Netherlands, Rest of Europe), MEA (Middle East, Africa), North America (United States, Canada, Mexico).
In October 2020, Qubole, Inc. entered into a partnership agreement and platform integration with Ascend.io, a data engineering company. Both companies together aimed to provide advanced data pipeline autonomous technology with the most comprehensive data lake platform.
Market Trend
- Emerging Big Data Technology In Industries
Market Drivers
- Adoption Of Cognitive Computing Technology And Advanced Analytics
- Rapidly Increasing Amount Of Unstructured Data
- Increasing Volume Of Complex Data
Opportunities
- Growing Demand From Small & Medium Enterprises
- Increasing Adoption Of Cloud Technology
Restraints
- Complex Analytical Process
Challenges
- Managing Data Quality And Safety
- Lack Of Skilled And Trained Professional
Key Target Audience
New Entrants/Investors, Analysts and Strategic Business Planners, Autonomous Data Platform Providers, Venture Capitalists, Private Equity Firms, Government Regulatory and Research Organizations and End Use Industry