Autonomous Data Platform is used to manage structured and unstructured data as enterprises generate a massive amount of data. To manage this data, various tools and platforms are used based on AI, machine learning, etc. which help the enterprise to transform the industry to gain insights into data. Autonomous data platform offers monitoring insights, alerts, AI automation, etc. which reduces complexities of data and easy to manage the data.
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The primary factor driving the market growth are growing complex data volume and increasing adoption of computing technology and analytics due to increases use of social media and connecting devices, increases the demand of autonomous data platform. For instance, in Jun 2019, Qubole launched a self-service platform to build their AI, machine learning, and analytics workflows on the public cloud for data scientists and engineers. Moreover, the growing adoption of cloud technology among SMEs also propelling the growth of autonomous data platform. However, the lack of a skilled workforce and the complexity of the analytical process are hindering the market growth.
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The Global Autonomous Data Platform market has been segmented on the basis of Component, Deployment Type, Organization Size, Vertical and Geography. Based on component market is categorized into Solutions and Services. On the basis of deployment type market is segmented into On-premises and Cloud. Based on the organization size market is segmented into Small and Medium-sized Enterprises and Large Enterprises. Based on the vertical market is categorized into Healthcare, BFSI, Government, IT& Telecommunication, Aerospace& Defence and Retail& Manufacturing and by geography.
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The research report “Global Autonomous Data Platform market” provides an in-depth analysis of the global Autonomous Data Platform market based on component, deployment, vertical and major geographies for the forecast period from 2019 to 2026. The report also highlights the major market drivers propelling the growth as well as challenges faced by market participants. The research report provides market size and forecast for the global Autonomous Data Platform market. In addition, the report also analyses the competitive landscape, major players and their strategies in 2018. The competitive landscape section of the report captures and highlights the recent developments in the market.
Key questions answered in this research report:
- At what pace is the global Autonomous Data Platform market growing? What will be a growth trend in the future?
- What are the key drivers and restraints in the current market? What will be the impact of drivers and restraints in the future?
- What are the regional revenue and forecast breakdowns? Which are the major regional revenue pockets for growth in the global Autonomous Data Platform market?
- What are the various application areas and how they are poised to grow?
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