Autonomous Data Platform Market will reach at an estimated value of USD 5,678.90 million by 2028 and grow at a CAGR of 23.50% in the forecast period of 2021 to 2028. Rise in the adoption of cognitive computing technology and advanced analytics is an essential factor driving the autonomous data platform market.
Autonomous data tool helps in analysing a specific customer's big data infrastructure to address crucial company problems and ensure optimal database usage. This helps the businesses to improve and increase their data management abilities.
The Autonomous Data Platform Market Scope and Size
The scope of winning Autonomous Data Platform Market report extends from market scenarios to comparative pricing between major players, cost and profit of the specified market regions. To turn complex market insights into simpler version, well established tools and techniques are used for generation of this business report.
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SWOT analysis is the standard, renowned and full-proof method to conduct the market research study which is used to formulate this particular Autonomous Data Platform Market report. Geographical scope of the products is also carried out comprehensively for the major global areas which helps define strategies for the product distribution in those areas.
Market Analysis and Insights - Global Autonomous Data Platforms Market
Valuable and actionable market insights are always important when it comes to create sustainable and profitable business strategies. For the same, Autonomous Data Platform report provides the analysis and estimation of important industry trends, market size, and market share etc. It gives key measurements, status of the manufacturers and is a significant source of direction for the businesses and organizations.
The data collected to structure this report is based on the data collection modules with large sample sizes. Depending on client’s requirements, business and product information has brought together via this report that ultimately helps businesses take better decisions. The quality and transparency maintained in this large scale Autonomous Data Platform report makes gain the trust and reliance of member companies and customers.
Autonomous Data Platforms Market Country Level Analysis
U.S., Canada, Mexico, Germany, Italy, U.K., France, Spain, Netherland, Belgium, Switzerland, Turkey, Russia, Rest of Europe, Japan, China, India, South Korea, Australia, Singapore, Malaysia, Thailand, Indonesia, Philippines, Rest of Asia- Pacific, Brazil, Argentina, Rest of South America, South Africa, Saudi Arabia, UAE, Egypt, Israel, Rest of Middle East & Africa)
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Competitive Landscape and Autonomous Data Platform Market Share Analysis
Autonomous data platform market competitive landscape provides details by competitor. Details included are company overview, company financials, revenue generated, market potential, investment in research and development, new market initiatives, regional presence, company strengths and weaknesses, product launch, product width and breadth, application dominance. The above data points provided are only related to the companies’ focus related to autonomous data platform market.
Key Players Autonomous Data Platform Market
Oracle, Qubole, Inc., IBM Corporation, MapR Technologies, Inc, Cloudera, Inc, Ataccama, Gemini Data Inc., Denodo Technologies, Datrium, Inc., DvSum, ALTERYX, INC., Zaloni, Paxata, Inc, The Linux Foundation, Teradata, DXC Technology Company and Intellias Ltd. among other domestic and global players.
MAJOR TOC OF THE REPORT
Chapter One: Autonomous Data Platform Market Overview
Chapter Two: Manufacturers Profiles
Chapter Three: Autonomous Data Platform Market Competition, by Players
Chapter Four: Autonomous Data Platform Market Size by Regions
Chapter Five: Autonomous Data Platform Market Revenue by Countries
Chapter Six: Autonomous Data Platform Market Revenue by Type
Chapter Seven: Autonomous Data Platform Market Revenue by Application
Chapter Eight: Autonomous Data Platform Market Revenue by Industries
Chapter Nine: Autonomous Data Platform Market Revenue by Deployment Model
Chapter Ten: Autonomous Data Platform Market Revenue by End User
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According to a new market research report "Autonomous Data Platform Market by Component (Platform and Services), Organization Size (Large Enterprises and Small and Medium-Sized Enterprises), Deployment Type (On-Premises and Cloud), Vertical, and Region - Global Forecast to 2024", estimated to be USD 810 million in 2019, the Autonomous Data Platform Market is projected to surpass USD 2,210 million by 2024, registering a CAGR of 22.2% during the forecast period.The growth of this market is driven by the rising adoption of cognitive computing technology and advanced analytics as well as the increasing volume of complex and unstructured data.Browse and in-depth TOC on “Autonomous Data Platform Market” 57 - Tables29 - Figures 126 - Pages Ask for PDF Brochure @ https://www.marketsandmarkets.com/pdfdownloadNew.asp?id=158985402The platform segment to hold a higher market share than the services segment during the forecast periodBased on component, the Autonomous Data Platform Market has been segmented into platform and services.
The autonomous data platform providers are competing with each other to increase their market coverage and expand their presence in newer markets.Retail vertical to witness the highest CAGR during the forecast periodWith the increasing use of the Internet, the retail vertical has become more consumer-centric.
Therefore, the autonomous data platform has become an integral part of the retail vertical, helping retailers attain enhanced customer loyalty in the highly competitive market.
The platform helps retailers in tracking the customers’ shopping journey in real-time, thus enabling retailers to understand and address their customers’ needs and requirements.The retail vertical needs a robust autonomous data platform to collect different types of data, including structured and unstructured, from different sources in real-time.
The major challenges faced by this vertical include the demand for omnichannel experience and the tracking of consumers in real-time.
The extensive use of mobile devices and social media platforms to connect with business partners and customers for delivering customized content as per the business requirements of clients has encouraged organizations to adopt autonomous data platforms and services.Enterprises focus on offering the best end-user experience and providing the best services by making use of the machine learning technology-based software and services.
