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Global Autonomous Data Platform Market Size was valued at USD 1.7 Billion in 2022. The Autonomous Data Platform market industry is projected to grow from USD 1.9 Billion in 2023 to USD 9.3 Billion by 2032, exhibiting a compound annual growth rate (CAGR) of 22.40% during the forecast period (2023 - 2032). The rise in real-time information demand, the expansion of digitization and automation across industries, are the key market drivers enhancing the market growth.
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One can expect a significant impact on the industry's growth from the advent of cutting-edge technologies like Machine Learning (ML) and Artificial Intelligence (AI), as well as from the rising digitization and automation across industries. In cloud-based enterprises, the use of autonomous data platforms is continuously growing, creating growth prospects over the projection period. This is brought on by new business organizations' use of cloud platforms and the keeping of corporate data largely in hybrid and public clouds. Businesses can adjust capacity in accordance with their convenience and needs thanks to an autonomous data platform's excellent flexibility. Additionally, compared to conventional company database systems, autonomous data platforms offer a variety of possibilities for evaluating, sharing, and incorporating vital data. Consequently, businesses can enhance and expand their data management capabilities. These are the factors that are expected to support industrial growth.
The industry is expected to grow as a result of the increased use of cognitive computing and cutting-edge analytical technology. Due to the rapid advancement of social media and related technologies, numerous companies are producing a sizeable amount of unstructured data. The need for autonomous database platforms from small and medium-sized businesses is anticipated to increase as data volume grows. The autonomous data systems can keep track of workloads, encrypt data, and monitor every entity trying to access the data. In order to address important business issues and enable the best possible use of the database, any entity can investigate the big data environment of a single client utilizing an autonomous data platform.
Because autonomous databases are automated, less human installation and data processing is required, giving decision-makers relevant insights earlier. The autonomous data platform uses machine learning to make sure that it always functions well and in line with the preferences of company decision-makers. For instance, machine learning can, with little to no operator interaction, automatically and continually patch, upgrade, adapt, and backup the system while it is in operation. Automation lowers the possibility that dishonest or negligent human behavior will compromise database security or operations. Thus, driving the Autonomous Data Platform market revenue.
The global Autonomous Data Platform market segmentation, based on Components, includes platforms and services. The platform segment dominated the global market in 2022. This is a result of rising technical advancements, such as the advent of digital and cloud-based platforms, as well as an increase in the demand for analytics, which is anticipated to drive the segment's expansion.
The global Autonomous Data Platform market segmentation, based on Services, includes advisory, integration, and support & maintenance. The integration segment dominated the global market in 2022. Due to numerous viruses and the incredibly sensitive information the organization manages, file corruption can result in data loss. Businesses' focus on implementing a data backup and restore platform to solve this issue is fueling the growth of the database backup and restore service.
The global Autonomous Data Platform market segmentation, based on Deployment, includes on-premises and cloud. On-premises segment dominated the global market in 2022. On-premises implementation is employed in businesses where identification and privacy are essential elements of daily operations since it is regarded to be safer than cloud deployment.
The global Autonomous Data Platform market segmentation, based on Enterprise, includes large enterprises and small and medium enterprises (SME). Large enterprise segment dominated the global Autonomous Data Platform market in 2022. It is anticipated that the large enterprise segment will expand over the course of the projected period as a result of the progress being made toward digitalization and the efficient use of technology to automate and speed business processes.
The global Autonomous Data Platform market segmentation, based on End Use, includes BFSI, healthcare, retail, manufacturing, it and telecom, government, and others (travel & hospitality, transportation & logistics, and energy & utilities). The BFSI segment dominated the global Autonomous Data Platform market in 2022. The autonomous data platform has mostly been embraced by the BFSI industry. Financial institutions are struggling to offer specialized services while preserving customer data as a result of shifting consumer behavior.
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Insights into the markets in North America, Europe, Asia-Pacific, and the rest of the world are provided by the study. The North America Autonomous Data Platform Market dominated this market in 2022 (45.80%). Because it is home to the majority of developed economies, including the United States and Canada, the region is considered to be the most advanced in terms of adopting cutting-edge technology and cloud-based solutions. An enormous market expansion is being fueled by the widespread usage of mobile phones and the internet in North America. Further, In the North American area, the U.S. Autonomous Data Platform market had the biggest market share, while the Canada Autonomous Data Platform market had the quickest rate of expansion.
Further, the major countries studied in the market report are The US, Canada, German, France, the UK, Italy, Spain, China, Japan, India, Australia, South Korea, and Brazil.
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In 2022, the Europe Autonomous Data Platform market held a sizable market share. The regional autonomous data platform industry is predicted to experience new growth opportunities as a result of significant investments made in R&D activities to expand the capabilities of these platforms. The demand for autonomous data platforms is also being aided by firms' ability to combine customer data from several sources onto a single platform, saving hours of computational effort. Further, In the European region, the German Autonomous Data Platform market had the biggest market share, and the U.K. Autonomous Data Platform market had the quickest rate of growth.
From 2023 to 2032, the Asia Pacific Autonomous Data Platform market is anticipated to grow significantly. Since AI and machine learning are being used more and more to assist in decision-making, the industry is expected to continue growing quickly. Moreover, In the Asia-Pacific region, the Indian Autonomous Data Platform market had the quickest rate of growth while China's Autonomous Data Platform market had the greatest market share.
Leading industry companies are making significant R&D investments in order to diversify their product offerings, which will drive the Autonomous Data Platform market's expansion. Important market developments include new product releases, contractual agreements, mergers and acquisitions, greater investments, and collaboration with other organizations. Market participants are also engaging in a number of strategic actions to increase their global footprint. The Autonomous Data Platform sector needs to provide affordable products if it wants to grow and thrive in a more competitive and challenging market environment.
One of the primary business strategies employed by manufacturers in the worldwide Autonomous Data Platform industry to assist customers and expand the market sector is local manufacturing to reduce operational costs. Some of the biggest benefits to medicine have recently come from the Autonomous Data Platform sector. Major players in the Autonomous Data Platform market, including Oracle Corporation, Teradata, IBM, Amazon Web Services, Inc., Hewlett Packard Enterprise Development LP, Qubole, Inc., Cloudera, Inc., Gemini Data, Denodo Technologies, and Alteryx, Inc., are attempting to increase market demand by investing in research and development operations.
Oracle Corp. (Oracle) offers cloud-based solutions for businesses. The company sells hardware, database and middleware software, cloud infrastructure software, application software, and hardware systems. It also offers comprehensive cloud solutions, including Infrastructure as a Service (IaaS) and Software as a Service (SaaS). For brand-new on-premises applications, Oracle provides license updates, new licenses, and solutions for related support. In May 2022, Oracle teamed with Informatica, a maker of cloud-based enterprise data management software.
International Business Machines Corp. (IBM) provides products and services related to information technology (IT). The company also offers infrastructure, hosting, and consulting services in addition to developing and marketing computer hardware and software. IBM's product line includes tools for software development, cybersecurity, blockchain, cloud computing, automation, analytics, and automation. The company also offers services in networking, security, technology consulting, application services, business resilience services, cloud computing, and tech support. To help organizations implement open-source AI technology, IBM Watson and Anaconda, Inc., the leading Python data science platform provider, announced a new alliance in June 2020.
· Oracle Corporation
· Teradata
· IBM
· Amazon Web Services, Inc.
· Hewlett Packard Enterprise Development LP
· Qubole, Inc.
· Cloudera, Inc.
· Gemini Data
· Denodo Technologies
· Alteryx, Inc.
Feb 2020: Oracle announced the debut of the Oracle Cloud Data Science Platform. The system's core component, Oracle Cloud Infrastructure Data Science, enables businesses to jointly create, train, manage, and deploy machine learning models to increase the success of data science projects. Features include shared projects, model catalogues, team security policies, reproducibility, and auditability.
· Platform
· Services
· Advisory
· Integration
· Support & Maintenance
· On-premises
· Cloud
· Large Enterprise
· Small and Medium Enterprise (SME)
· BFSI
· Healthcare
· Retail
· Manufacturing
· IT and Telecom
· Government
· Others (Travel & Hospitality, Transportation & Logistics, and Energy & Utilities)
· North America
- US
- Canada
· Europe
- Germany
- France
- UK
- Italy
- Spain
- Rest of Europe
· Asia-Pacific
- China
- Japan
- India
- Australia
- South Korea
- Australia
- Rest of Asia-Pacific
· Rest of the World
- Middle East
- Africa
- Latin America
|
Report Attribute/Metric |
Details |
|
Market Size 2022 |
USD 1.7 Billion |
|
Market Size 2023 |
USD 1.9 Billion |
|
Market Size 2032 |
USD 9.3 Billion |
|
Compound Annual Growth Rate (CAGR) |
22.40% (2023-2032) |
|
Base Year |
2022 |
|
Market Forecast Period |
2023-2032 |
|
Historical Data |
2018- 2022 |
|
Market Forecast Units |
Value (USD Billion) |
|
Report Coverage |
Revenue Forecast, Market Competitive Landscape, Growth Factors, and Trends |
|
Segments Covered |
Component, Services, Deployment, Enterprise, End Use, and Region |
|
Geographies Covered |
North America, Europe, Asia Pacific, and the Rest of the World |
|
Countries Covered |
The U.S., Canada, German, France, U.K, Italy, Spain, China, Japan, India, Australia, South Korea, and 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, and Alteryx, Inc. |
|
Key Market Opportunities |
Growing demand for SMEs |
|
Key Market Dynamics |
The growing digitization and automation across industries and the rise in demand for real-time information |
The global Autonomous Data Platform Market was valued at USD 1.7 billion in 2022, and it is estimated to reach USD 9.3 billion by 2032.
The global market is projected to grow at a CAGR of 22.40% during the forecast period, 2023-2032.
North America had the largest share in the global market
The key players in the market are Oracle Corporation, Teradata, IBM, Amazon Web Services, Inc., Hewlett Packard Enterprise Development LP, Qubole, Inc., Cloudera, Inc., Gemini Data, Denodo Technologies, and Alteryx, Inc.
The Platform Component dominated the market in 2022.
The Integration Services had the largest share in the global market.
Report Code :
RL65154
Published on :
Sep 2023
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