The Global Market size is expected to reach $2,316.98 million by 2027, rising at a market growth of 21.1% CAGR during the forecast period.
An autonomous data platform provides end-to-end automation for updates, provisioning, security, error prevention, performance, and availability. In addition, an autonomous data platform is also defined as the self-driving database due to the automation of all the processes related to infrastructure management, monitoring, and tuning processes.
This platform has integrated features that can eliminate attacks and discourage internal ill-intentioned users. Also, an autonomous database needs as low as 2.5 minutes of downtime, which also includes patching. It has time-based transaction processes, including fraud detection, personalization, and real-time analytics.
Using an autonomous data platform, any entity can examine the big data environment of a particular customer in order to manage the crucial business issues and facilitate the optimal utilization of the database. As a result, companies can develop and improve their data management capabilities.
The rise in the adoption of advanced analytics and cognitive computing technology is anticipated to fuel the growth of the market. Additionally, the massive growth of interconnected devices and social media are responsible for the generation of a large amount of unstructured data among various enterprises. This growing volume would accelerate the demand for autonomous database solutions from small as well as medium-sized enterprises.
The market of an autonomous data platform has been impacted by the outbreak of the COVID-19 pandemic and the growth of the market is expected to be driven post the pandemic era. This is owing to the growing transmission rate of COVID-19 across the globe and work-from-home models adopted by the companies to secure their employees from the deadly virus. Thus, many companies have put massive investments in autonomous data platform solutions in order to streamline and drive-up productivity across their business operations.
In addition, the growth of the autonomous data platform market would be fueled by the rise in network dependency and network load throughout the pandemic period. Throughout the pandemic, the applications of autonomous data platform solutions increased significantly as sophisticated analytical tools were utilized and autonomous operations were done on a priority basis, because of the low availability of staff and network rights given to them throughout their work-from-home time.
The applications of Autonomous data platforms are constantly increasing in cloud-based businesses due to the growing trends of cloud application in new-age businesses enterprises, and storage of enterprise data mainly in the hybrid & public clouds. In addition, autonomous data platforms are providing many methods to examine, share, and integrate critical data more safely and with a higher speed as compared to the conventional enterprise data warehouse solutions.
The autonomous data platforms are able to encrypt data, track workloads, and monitor every entity that tries to access the data. In this manner, these platforms enable the companies to utilize the data without the need to think about compliance or reputational risk from an inappropriate environment. Moreover, these platforms offer superior flexibility that help companies to increase or decrease capacity according to convenience and requirements.
Due to the growing advances in technologies, the expectations of the companies become high. As a result, these companies tend to regularly update their cloud-based and customer-centric solutions to fulfill the requirements to gather, analyze and sort the data of their customers. In addition, companies need to put massive investments to adopt cloud-based and autonomous data platforms which may hamper the demand for these platforms during the forecasting period.
Based on the Component, the Autonomous Data Platform Market is segregated into Platform, Services, Advisory, Integration, and Support & Maintenance. The platform segment acquired the highest revenue share of the autonomous data platform market in 2020. In addition, the segment is expected to exhibit a similar kind of trend even during the forecasting period. Additionally, the growth of the segment would be fuelled by the growing technological advancements like the emergence of web and cloud-based platforms which have fuelled the requirement for analytics.
Based on the Deployment, the Autonomous Data Platform Market is bifurcated into On-premise and Cloud. An on-premise model refers to a conventional model which is used to install solutions within the premises of the company. In addition, on-premise solutions are offered on a one-time fee and an agreement of service. This model is highly adopted among companies where there is a high need to safeguard user credentials and the security of business operations. Hence, the on-premises models are preferred over the cloud model in such companies.
Based on the Organization Size, the Autonomous Data Platform Market is divided into Large Enterprises and Small & Medium enterprises. Large enterprises have a high budget for different solutions. In addition, these enterprises rely heavily on cloud infrastructure as they have a large number of connected and interconnected devices. Thus, these devices generate a massive amount of structured and unstructured data which must be processed and secured. As a result, the demand for autonomous data platform solutions would be driven in the upcoming years.
Based on the End User, the Autonomous Data Platform Market is classified into Telecommunication and Media, BFSI, Government, Healthcare and Life Sciences, Manufacturing, Retail, and Others. Telecommunication and Media acquired the highest revenue share of the autonomous data platform market in 2020. In the modern era, there has been a significant rise in the telecommunication and media industry. This is because of the high dependency of governments and people on this industry.
| Report Attribute | Details |
|---|---|
| Market size value in 2020 | USD 598.8 Million |
| Market size forecast in 2027 | USD 2,316.98 million |
| Base Year | 2020 |
| Historical Period | 2017 to 2019 |
| Forecast Period | 2021 to 2027 |
| Revenue Growth Rate | CAGR of 21.1% from 2021 to 2027 |
| Number of Pages | 297 |
| Number of Tables | 483 |
| Report coverage | Market Trends, Revenue Estimation and Forecast, Segmentation Analysis, Regional and Country Breakdown, Competitive Landscape, Companies Strategic Developments, Company Profiling |
| Segments covered | Component, Deployment Mode, Organization Size, End User, Region |
| Country scope | US, Canada, Mexico, Germany, UK, France, Russia, Spain, Italy, China, Japan, India, South Korea, Singapore, Malaysia, Brazil, Argentina, UAE, Saudi Arabia, South Africa, Nigeria |
| Growth Drivers |
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| Restraints |
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Based on the Region, Autonomous Data Platform Market is analyzed across North America, Europe, APAC, and LAMEA. North America is expected to exhibit a promising growth rate in the autonomous data platform during the forecasting period. In addition, the massive penetration of the web and mobile devices in the region has generated new growth avenues for the companies to gain success in dedicated channel partners, clients, and other stakeholders inside the region.
Free Valuable Insights: Global Autonomous Data Platform Market size to reach USD 2,316.98 million by 2027
The major strategies followed by the market participants are Partnerships. Based on the Analysis presented in the Cardinal matrix; Amazon.com, Inc. is the major forerunner in the Autonomous Data Platform Market. Companies such as Hewlett-Packard Enterprise Company, Teradata Corporation and International Business Machines Corporation (IBM) are some of the key innovators in the Market.
The market research report covers the analysis of key stake holders of the market. Key companies profiled in the report include IBM Corporation, Oracle Corporation, Amazon.com, Inc., Teradata Corporation, Hewlett-Packard Enterprise Company, Alteryx, Inc., Cloudera, Inc., Qubole, Inc., Gemini Data, Inc., and Denodo Technologies.
By Component
By Deployment Mode
By Organization Size
By End User
By Geography
The autonomous data platform market size is projected to reach USD 2,316.98 million by 2027.
Growing awareness about the benefits of autonomous data platforms are driving the market in coming years, however, high cost of autonomous data platforms have limited the growth of the market.
IBM Corporation, Oracle Corporation, Amazon.com, Inc., Teradata Corporation, Hewlett-Packard Enterprise Company, Alteryx, Inc., Cloudera, Inc., Qubole, Inc., Gemini Data, Inc., and Denodo Technologies.
Throughout the pandemic, the applications of autonomous data platform solutions increased significantly as sophisticated analytical tools were utilized and autonomous operations were done on a priority basis, because of the low availability of staff and network rights given to them throughout their work-from-home time.
The Healthcare and Life Sciences market is expected to witness highest CAGR of 22% during (2021 - 2027). Autonomous data platforms help the patients to achieve real-time visibility into their past and present health records.
The North America market dominated the Global Autonomous Data Platform Market by Region 2020, and would continue to be a dominant market till 2027; thereby, achieving a market value of $905,709.9 Thousands by 2027.
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