Global Autonomous Data Platform Market Research Report: Information By Component (Platform and Services), By Services (Advisory, Integration, and Support & Maintenance), By Deployment (On-premises and Cloud), By Enterprise (Large Enterprise and Small and Medium Enterprise (SME)), By End Use (BFSI, Healthcare, Retail, Manufacturing, IT and Telecom, Government, and Others (Travel & Hospitality, Transportation & Logistics, and Energy & Utilities)), and By Region (North America, Europe, Asia-Pacific, and Rest Of The World) – Market Forecast Till 2032.

Region: Global | Format: Word, PPT, Excel | Report Status: Published

 
Autonomous Data Platform Market Overview

According to a new report by IMIR Market Research on 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.

Autonomous Data Platform Market Trends

The growing digitization and automation across industries is driving the market growth

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.

Autonomous Data Platform Key Market Players & Competitive Insights

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.

Key Companies in the Autonomous Data Platform market include

  • Oracle Corporation
  • Teradata
  • IBM
  • Amazon Web Services, Inc.
  • Hewlett Packard Enterprise Development LP
  • Qubole, Inc.
  • Cloudera, Inc.
  • Gemini Data
  • Denodo Technologies
  • Alteryx, Inc.

Autonomous Data Platform Industry Developments

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.

Autonomous Data Platform Market Segmentation Analysis

Autonomous Data Platform Component Outlook

  • Platform
  • Services

Autonomous Data Platform Services Outlook

  • Advisory
  • Integration
  • Support & Maintenance

Autonomous Data Platform Deployment Outlook

  • On-premises
  • Cloud

Autonomous Data Platform Enterprise Outlook

  • Large Enterprise
  • Small and Medium Enterprise (SME)

Autonomous Data Platform End Use Outlook

  • BFSI
  • Healthcare
  • Retail
  • Manufacturing
  • IT and Telecom
  • Government
  • Others (Travel & Hospitality, Transportation & Logistics, and Energy & Utilities)

The report also helps in understanding Global Autonomous Data Platform Market dynamics, structure by analyzing the market segments, and project the Global Autonomous Data Platform Market size. Clear representation of competitive analysis of key players by type, price, financial position, product portfolio, growth strategies, and regional presence in the Global Autonomous Data Platform Market make the report investor’s guide.

This report examines all the key factors influencing growth of global Autonomous Data Platform market, including demand-supply scenario, pricing structure, profit margins, production and value chain analysis. Regional assessment of global Autonomous Data Platform market unlocks a plethora of untapped opportunities in regional and domestic market places. Detailed company profiling enables users to evaluate company shares analysis, emerging product lines, pricing strategies, innovation possibilities and much more.

Autonomous Data Platform Market Segment Insights

Autonomous Data Platform Component Insights

The global Autonomous Data Platform market segmentation, based on Component, includes platform and services. 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.

Autonomous Data Platform Services Insights

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.

Autonomous Data Platform Deployment Insights

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.

Autonomous Data Platform Enterprise Insights

The global Autonomous Data Platform market segmentation, based on Enterprise, includes large enterprise and small and medium enterprise (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.

Autonomous Data Platform End Use Insights

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). 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.

Autonomous Data Platform Regional Insights

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.

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.

Autonomous Data Platform Market Report is also available for below Regions and Country Please Ask for that

North America

  • U.S.
  • Canada

Europe

  • Switzerland
  • Belgium
  • Germany
  • France
  • U.K.
  • Italy
  • Spain
  • Sweden
  • Netherland
  • Turkey
  • Rest of Europe

Asia-Pacific

  • India
  • Australia
  • Philippines
  • Singapore
  • South Korea
  • Japan
  • China
  • Malaysia
  • Thailand
  • Indonesia
  • Rest Of APAC

Latin America

  • Mexico
  • Argentina
  • Peru
  • Colombia
  • Brazil
  • Rest of South America

Middle East and Africa

  • Saudi Arabia
  • UAE
  • Egypt
  • South Africa
  • Rest Of MEA

 

Points Covered in the Report

  • The points that are discussed within the report are the major market players that are involved in the market such as market players, raw material suppliers, equipment suppliers, end users, traders, distributors and etc.
  • The complete profile of the companies is mentioned. And the capacity, production, price, revenue, cost, gross, gross margin, sales volume, sales revenue, consumption, growth rate, import, export, supply, future strategies, and the technological developments that they are making are also included within the report. This report analysed 5 years data history and forecast.
  • The growth factors of the market are discussed in detail wherein the different end users of the market are explained in detail.
  • Data and information by market player, by region, by type, by application and etc., and custom research can be added according to specific requirements.
  • The report contains the SWOT analysis of the market. Finally, the report contains the conclusion part where the opinions of the industrial experts are included.

Key Questions

  • How much the global Autonomous Data Platform Market valued?
  • Which region has the largest share in 2021 for the global Autonomous Data Platform Market?
  • What are the driving factors for the market?
  • Which is the leading segment in the global market?
  • What are the major players in the market?

Research Scope of Autonomous Data Platform Market

  • Historic year: 2019- 2022
  • Base year: 2023
  • Forecast: 2024 to 2032
  • Representation of Market revenue in USD Million

Autonomous Data Platform Market Trends: Market key trends which include Increased Competition and Continuous Innovations Trends:

Frequently Asked Questions

  • PUBLISHED ON : October, 2024
  • BASE YEAR : 2023
  • STUDY PERIOD : 2020-2032
  • COMPANIES COVERED : 20
  • COUNTRIES COVERED : 25
  • NO OF PAGES : 380

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