Autonomous Data Platform Market

Autonomous Data Platform Market Share was valued at USD 810 Million in 2022 and is expected to register a CAGR of 22.2% during the forecast period.

An autonomous data platform offers end-to-end automation for security, provisioning, updates, performance, error prevention, and availability. An autonomous data platform is a self-driving database as all infrastructure management, tuning processes, and monitoring are automated. It has built-in capabilities, which protect against both internal malicious users and external attacks. An autonomous database requires less than 2.5 minutes of downtime, including patching. It features time-based transaction processes, which includes a personalization, fraud detection, and real-time analytics.

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Major Autonomous Data Platform Market Drivers

The key factors supporting the growth of the autonomous data platform market are the increasing adoption of enhanced analytics and cognitive computing technology. Increase in the volume of unstructured data among several enterprises due to the rapid growth of social media across the globe. This increase in volume is expected to boost the demand for autonomous database solutions from small and medium-sized enterprises. Due to the high usage of internet, the volume of unstructured and structured data increases, which raises the growth in the number of devices and autonomous data tools. Increasing adoption of AI and machine learning for decision-making processes is likely to surge the growth of the global autonomous data platform market.

Moreover, Covid-19 pandemic has positively impacted the global autonomous data platform market. The increase in remote services has surged the digital transformation among various industries. The pandemic has increased the investment in data analytics tools and bolstered the need for enhanced analytics for monitoring and tracking real-time information. The demand for autonomous database solutions has grown during this pandemic to contain its spread by visualizing, extracting, and executing the efforts in near real-time to control this virus. These advancements are driving the growth of this market. However, some analytical processes are complex, which need trained professionals to operate these tools. The lack of skilled professionals and problems associated with maintaining sync between safety and quality might restrain the growth of the global autonomous data platform market.

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Based on the deployment type, the market is segmented into on-premises and cloud. The on-premises segment is expected to grow at a higher CAGR over the forecast period. On-premises is a conventional approach of implementing autonomous data platform at the premises of an enterprise which requires a one-time license fee along with the service agreement, which makes it cost-effective as compared to cloud deployment mode. The on-premises deployment is safer for enterprises, wherein, security and user credentials are essential aspects of the business processes. The on-premises deployment offers organizations to abstain from transferring data through internet services, allows quick accessing of data, and offers separate maintenance and security of data as it removes the need for third-party vendors.

Based on the vertical, the market is segmented into BFSI, healthcare & life sciences, retail, manufacturing, telecommunication & media, government, and others. The BFSI segment is anticipated to witness a faster CAGR over the forecast period. The financial sector needs high security of customer data and has to deliver personalized services, which has become difficult due to the rising awareness among customers. An autonomous data platform ensures the security of customer’s data, money laundering, assessment of risks, and meeting regulations that govern privacy. These factors play a significant role in driving the growth of the BFSI segment in the global autonomous data platform market.

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Regional – Segment Analysis

Based on the region, the Europe region is projected to grow at a higher CAGR during the forecast period. There has been a rise in the inconsistent data generation across the various enterprises in European countries, thus increasing the demand for the implementation of autonomous database solutions. Constant technological advancements and the introduction of new business models are further boosting the growth of the autonomous data platform market in Europe.

Top Market Players

Various notable players operating in the market include Oracle, IBM, Teradata, Cloudera, Inc., MapR Technologies, Inc., Amazon Web Services, Inc., Qubole, Inc., Gemini Data, Ataccama, Denodo Technologies, among others. 

Key Developments:

• • In 2020, Oracle unleashed a cloud-based data science platform, with Oracle Cloud Infrastructure Data Science service at its core. It offers the ability for users to train, manage, and build machine learning algorithms on the Oracle Cloud.
  • In 2020, Qubole, Inc. partnered with Ascend.io, the data engineering company, to bring the world’s most advanced data pipeline autonomous technology with the most wide-ranging data lake platform. It allows data teams to design self-service data pipelines 7x faster with 95% less code, thus reducing infrastructure costs by 50% or more with superior efficiency of processing data.

Segments covered in the Report:

The global autonomous data platform market has been segmented on the basis of component, organization size, deployment type, vertical, and regions. Based on component, the market is segmented into platform and services. The services segment is further segmented into advisory, integration, and support & maintenance. Based on organization size, the market is segmented into large enterprises and SMEs. Based on deployment type, the market is segmented into on-premises and cloud. Based on vertical the market is segmented into BFSI, healthcare and life sciences, retail, manufacturing, telecommunication & media, government, and others. Based on region, the global autonomous data platform market is segmented into North America, Europe, Asia-Pacific, and roW. 

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Market Segmentation

Global Autonomous Data Platform Market by Component

• • Platform
  • Services
    • Advisory
    • Integration
    • Support and Maintenance

Global Autonomous Data Platform Market by Organization Size

• • Large Enterprises
  • Small & Medium-Sized Enterprises

Global Autonomous Data Platform Market by Deployment Type

• • On-premises
  • Cloud

Global Autonomous Data Platform Market by Vertical

• • BFSI
  • Healthcare and Life Sciences
  • Retail
  • Manufacturing
  • Telecommunication and Media
  • Government
  • Others

Global Autonomous Data Platform Market by Region

• • North America Autonomous Data Platform Market (Option 1: As a part of the free 25% customization)
    • By Component
    • By Organization Size
    • By Deployment Type
    • By Vertical
    • US Market All-Up
    • Canada Market All-Up
  • Europe Autonomous Data Platform Market (Option 2: As a part of the free 25% customization)
    • By Component
    • By Organization Size
    • By Deployment Type
    • By Vertical
    • UK Market All-Up
    • Germany Market All-Up
    • France Market All-Up
    • Spain Market All-Up
    • Rest of Europe Market All-Up
  • Asia-Pacific Autonomous Data Platform Market (Option 3: As a part of the free 25% customization)
    • By Component
    • By Organization Size
    • By Deployment Type
    • By Vertical
    • China Market All-Up
    • India Market All-Up
    • Japan Market All-Up
    • Rest of APAC Market All-Up
  • RoW Autonomous Data Platform Market (Option 4: As a part of the free 25% customization)
    • By Component
    • By Organization Size
    • By Deployment Type
    • By Vertical
    • Brazil Market All-Up
    • South Africa Market All-Up
    • Saudi Arabia Market All-Up
    • UAE Market All-Up
    • Rest of world (remaining countries of the LAMEA region) Market All-Up

Major Players Operating in the Autonomous Data Platform (Option 5: As a part of the Free 25% Customization – Profiles of 5 Additional Companies of your Choice)

• • Oracle
  • IBM
  • Teradata
  • Cloudera, Inc.
  • MapR Technologies, Inc.
  • Amazon Web Services, Inc.
  • Qubole, Inc.
  • Gemini Data
  • Ataccama
  • Denodo Technologies