The global autonomous data platform market was valued at USD 1.108.7 million in 2021 and is expected to grow at a CAGR of 23.0% from 2022 to 2030. The growing digitization and automation across industries, the rise in demand for real-time information, and the emergence of cutting-edge technologies such as Machine Learning (ML) and Artificial Intelligence (AI) are expected to contribute significantly to the industry expansion. The market has been affected by the COVID-19 pandemic and thus the growth is likely to be impacted during post-pandemic period.
This is attributable to the increased rate of transmission of COVID-19 from across the world and work-from-home strategies employed by corporations to safeguard their workforce from viral disease. Thus, many enterprises have made significant investments to expedite and drive-up efficiency across entire company activities in autonomous data platform solutions. These factors are contributing to the rapid growth of the autonomous data platform market.
Due to the developing trends of cloud platforms in new business organizations and retention of enterprise data primarily in the hybrid & public clouds, the applicability of autonomous data platforms in cloud-based businesses is continuously increasing which will offer growth opportunities over the forecast period.
An autonomous data platform provides exceptional flexibility, enabling companies to adjust capacity on convenience and needs. Additionally, compared to traditional enterprise database solutions, autonomous data platforms offer a variety of ways to evaluate, distribute, and incorporate critical data more quickly and safely. Thus, businesses can expand and enhance their data management skills. These are the factors that are expected to drive industry growth.
The industry is expected to grow due to the increased implementation of cognitive computing and advanced analytic technology. A significant amount of unstructured information is being generated by several businesses as a result of the rapid expansion of social media and associated devices. The need for autonomous database platforms from small and medium-sized businesses is anticipated to increase due to this rising volume of data.
Data can be encrypted, workloads can be tracked, and any entity attempting to access the data is watched by the autonomous data platforms.Using an autonomous data platform, any entity can investigate the big data environment of a specific customer to manage important business concerns and enable the best possible use of the database.
The automation within autonomous databases reduces the human installation and processing of data, giving decision-makers valuable insights, sooner. The autonomous data platform employs machine learning to assure that it is constantly operating smoothly, according to the manner that corporate decision-makers want it to work. For instance, while the system is in use, machine learning can automatically and continually patch, upgrade, adjust, and back up the system with little to no operator interaction. Automation lessens the probability that human hostile or negligent activity may compromise database security or operations.
The demands of businesses have increased as a result of the rising technological advancements. These businesses frequently upgrade their cloud-based solutions for clients to meet the needs of gathering, analyzing, and sorting their customers' data. The autonomous cloud uses DevOps methods, AI, ML, and advanced automation for native cloud environments to achieve automated operations and continuous software delivery pipelines.
Additionally, businesses need to make significant investments to embrace cloud-based autonomous data platforms, which could boost the demand of this market during the projected period.
The platform segment accounted for the largest revenue share of 68.9% in 2021, owing to the growing technical developments, such as the rise of digital and cloud-based platforms, as well as an increase in the demand for analytics, which is predicted to fuel the segment's expansion.
An autonomous data tool evaluates a specific customer's big data architecture to address important business concerns and guarantee optimal database use. It supports businesses in enhancing and growing their data processing capacities. It evaluates the security of several factors, such as configuration, sensitive data, abnormal database operations, and users.
The service segment is expected to grow at a CAGR of 24.6% during the forecast period. Due to various malware and the organization's highly sensitive information, file corruption can result in data loss. Businesses are concentrating on implementing a data backup and restore platform to combat this issue, which is propelling the expansion of the database backup and restore service.
An increasing number of big and medium-sized businesses need to save, backup, and restore very large amounts of data, which is driving the expansion of the services segment in the forecasted period.
The on-premise segment accounted for the largest revenue share of 51.0% in 2021. The on-premises installation is employed in businesses where identification and privacy are important aspects of corporate operations since it is considered to be safer than cloud deployment.
On-premises software can also be swiftly modified to fit certain organizational requirements. Businesses may avoid transferring data over the internet due to the on-premises deployment paradigm, which also keeps IP addresses and data private and does away with the need for third parties to maintain and safeguard data. These will supplement the growth of the segment during the forecast period.
The cloud segment is expected to grow at a CAGR of 25.7% over the forecast period. Due to the flexibility and cost-effectiveness of cloud-based solutions, users are more likely to prefer and adopt them. Cloud computing platforms provide better scalability, lower implementation costs, and ongoing development.
Due to its virtual environment, which enables enterprises to access information across interconnected devices at any time, the implementation of cloud-based solutions boosts the simplicity of delivery of services. Instead of storing data locally on devices, users can upload it to connecting devices over a network. These benefits offered by cloud deployment will enhance the segment growth.
The large enterprises segment accounted for the largest revenue share of 65.3% in 2021. The large enterprise segment is expected to increase over the forecast period due to the advancement toward digitalization by utilizing technologies to automate and speed their company processes effectively.
Large companies have more money to spend on different solutions, and these devices thus generate a significant amount of structured and unstructured data that needs to be managed and maintained. Autonomous data platform solutions will therefore be widely valued in the coming years. Thus, the large enterprise segment has adopted the autonomous data platform faster and will offer lucrative opportunities for segment growth.
The small and medium size enterprises segment is expected to grow at a CAGR of 24.9% during the forecast period. The increase in investments in advanced techniques such as machine learning, increasing application of AI technology, and rising adoption of digital payment systems.
Small and medium-sized businesses are anticipated to increase their demand for self-contained data structures as a result of higher volume. As machine learning and AI are deployed more frequently to improve decision-making, the autonomous data platform market as a whole is anticipated to expand.
The BFSI held the leading revenue share of 20.8% in 2021 and is expected to continue leading over the forecast period. The autonomous data platform is being widely embraced in the BFSI industry. Financial institutions are finding it difficult to offer specialized services while safeguarding customer data due to shifting consumer behavior. To establish a comprehensive consumer profile, financial businesses gather and consolidate first-party information recorded by clients' behavior across numerous channels.
To create tailored one-on-one customer engagement, companies then use analytics technologies to extract information. The marketing capabilities of a bank are strengthened by data analytics. A few functional areas that may greatly benefit from analytics to maintain optimal performance and make the right decisions when speed is crucial are risk, compliance, fraud, and estimating value at risk.
The retail segment is expected to grow at a CAGR of 22.8% over the forecast period. The retail industry makes use of autonomous data platforms for analytics in several fields, such as advertising optimization, product enhancement, and CRM. The use of digital platforms has increased as a result the retail business has become more customer-focused.
This industry has experienced rapid changes in consumer behavior due to technological improvements. The platform allows retailers to follow customers' purchasing activities in real-time, helping them to better comprehend and satisfy their needs. These factors are stimulating the growth of the segment over the forecast period.
The North American accounted for the largest revenue share of 36.3% in 2021. The region is home to most developed economies, such as the Canada and U.S., and is deemed as the most advanced region in terms of adopting the latest technologies and cloud-based solutions. Significant market expansion is being driven by widespread usage of mobile phones and the internet in North America.
Further, supporting the market boom in the region is the rising usage of smartphones and digital networking sites to interact with business partners and clients. Strong growth prospects are being created for the autonomous data platform business in North America by the regional delivery of solutions that offer customers multipurpose analytics on any cloud while retaining ongoing control and security.
The Asia Pacific is anticipated to rise as the fastest developing region at a CAGR of 24.7%. The industry is expected to maintain rapid growth due to the increasing use of AI and machine learning to assist decision-making. Additionally, the demand for autonomous data platforms is being facilitated by the ability of firms to combine customer data from several sources onto a unified platform, reducing hours of computational work.
Due to significant investments in R&D activities to give these platforms enhanced capabilities, which is likely to open up new growth opportunities for the autonomous data platform industry. Hence the Asia Pacific region is expected to experience positive momentum for autonomous database platforms throughout the forecast period.
The dominant players operating in the autonomous data platform industry include Oracle, Teradata, IBM, Amazon Web Services, Inc., Hewlett Packard Enterprise Development LP, Qubole, Inc., Cloudera, Inc., and Gemini Data, Denodo Technologies, and Alteryx, Inc., among others.
The key players are observed to invest resources in research & development activities to support growth and enhance their internal business operations. Companies can be seen engaging in mergers & acquisitions and partnerships to further upgrade their products and gain a competitive advantage in the industry. They are effectively working on new product development, and enhancement of existing products to acquire new customers and capture more market shares.
For instance, In May 2022, Oracle went into partnership with Informatica, a cloud-based enterprise data management software provider. In this partnership, both the companies will provide databases, database servers, big data, data lake houses, business analytics, and data science with market-leading cloud information management, connectivity, and regulatory solutions.
By transferring on-premises operations to OCI, this new collaboration enables data platform evolution for a number of Oracle and Informatica clients. They would be able to use their current expertise and investments while gaining insights from reliable data at scale. Some prominent players in the global autonomous data platform market include:
Amazon Web Services, Inc.
Hewlett Packard Enterprise Development LP
Market size value in 2022
USD 1.28 billion
Revenue forecast in 2030
USD 6.73 billion
CAGR of 23.0% from 2022 to 2030
Base year for estimation
2017 - 2020
2022 - 2030
Revenue in USD million and CAGR from 2022 to 2030
Revenue forecast, company market share, competitive landscape, growth factors, and trends
Component, services, deployment, enterprise size, end-use, region
North America; Europe; Asia Pacific; Latin America; Middle East & Africa
U.S.; Canada; Germany; U.K.; France; China; India; Japan; Brazil
Key companies profiled
Oracle Corporation; Teradata; IBM; Amazon Web Services, Inc.; Hewlett Packard Enterprise Development LP; Qubole, Inc.; Cloudera, Inc.; Gemini Data; Denodo Technologies; Alteryx, Inc.
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This report forecasts revenue growth at global, regional, and country levels and provides an analysis of the latest industry trends in each of the sub-segments from 2017 to 2030. For this study, Grand View Research has segmented the autonomous data platform market based on component, deployment, end-use, and region:
Component Outlook (Revenue, USD Million, 2017 - 2030)
Services Outlook (Revenue, USD Million, 2017 - 2030)
Support & Maintenance
Deployment Outlook (Revenue, USD Million, 2017 - 2030)
Enterprise Outlook (Revenue, USD Million, 2017 - 2030)
Small and Medium Enterprise (SME)
End-use Outlook (Revenue, USD Million, 2017 - 2030)
IT and Telecom
Others (Travel & Hospitality, Transportation & Logistics, and Energy & Utilities)
Regional Outlook (Revenue, USD Million, 2017 - 2030)
Middle East & Africa
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