Autonomous Data Platform Market Size, Share, Trends, Industry Analysis & Growth 2032

Autonomous Data Platform Market

Autonomous Data Platform Market By deployment (on-premise and cloud), By component (platform, services, advisory, integration, and support & maintenance), By organization size (Small & medium enterprises and large enterprises), By industry vertical (manufacturing, telecommunication & media, government, BFSI, healthcare & life sciences, retail, and others) And By Region: - Global And Regional Industry Overview, Market Intelligence, Comprehensive Analysis, Historical Data, And Forecasts, 2024-2032

Category: Technology & Media Report Format : PDF Report Code: ZMR-6590 Status : Upcoming
Market Size in 2023 Market Forecast in 2032 CAGR (in %) Base Year
USD 2.20 Billion USD 17.66 Billion 23.2% 2023

Autonomous Data Platform Market

Description

Autonomous Data Platform Market Insights

According to the report published by Zion Market Research, the global Autonomous Data Platform Market size was valued at USD 2.20 Billion in 2023 and is predicted to reach USD 17.66 Billion by the end of 2032. The market is expected to grow with a CAGR of 23.2% during the forecast period. The report analyzes the global Autonomous Data Platform Market's growth drivers, restraints, and impact on demand during the forecast period. It will also help navigate and explore the arising opportunities in the Autonomous Data Platform industry.

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Global Autonomous Data Platform Market: Overview

An autonomous data platform uses cognitive platforms, such as Artificial Intelligence (AI) and Machine Learning (ML), to manage and optimize its data and analytics. An autonomous data platform offers end-to-end encrypted security, performance, error prevention, and provisioning. It has time-based transaction processes that include personalization, fraud detection, and real-time analytics. Internet use is responsible for the growth of unstructured and structured data, which results in an increase in the number of autonomous data tools and devices. Furthermore, the demand for cloud technology is fast-tracking, which is driving the demand for autonomous data platforms.

Global Autonomous Data Platform Market: Growth Factors

The global autonomous data platform market is growing at a significant rate owing to the increasing adoption of cloud-based solutions from end-user industries. Factors that are fueling the growth of the global market include the rising implementation of cognitive computing technology and the increasing volume of structured & unstructured data. Increasing adoption of advanced analytics solutions among organizations such as BFSI, healthcare, and telecommunication is expected to drive market growth. Further, changing consumer behavior and the rising need for the financial and banking sector to maintain privacy and deliver personalized services to customers enhance the demand for autonomous data platforms and fuel the growth of the market.

In addition to this, the growing implementation of artificial intelligence and machine learning in decision-making processes is expected to boost the growth of the global autonomous data platform market. However, the high complexity involved in analytical and cloud computing processes may hamper the demand for the autonomous data platform market in some regions. On the other hand, rising demand for autonomous data management products and services from emerging markets such as the Asia Pacific and MEA is anticipated to offer lucrative opportunities for market growth during the forecast period. In addition, growing demand from small and medium-scale organizations is expected to enhance the global autonomous data platform market growth.

The sudden upsurge of the COVID-19 pandemic have a positive impact on the global autonomous data platform market. The rising concern over the spread of coronavirus has emerged with too many regulations by the government to control the spread of infection. Sudden lockdown, social distancing, and a temporary halt on manufacturing units led to the rapid digitization and adoption of virtual data management for work. A pandemic has increased the use of data analytics tools and prompted an increase in the data needed to monitor and track real-time information. However, some analytical processes are complex and need trained professionals to operate these tools. However, the lack of a skilled workforce may limit the market growth of autonomous data platforms.

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Global Autonomous Data Platform Market: Segmentation

The global autonomous data platform market is separated based on deployment, component, organization size, industry vertical, and region.

Based on deployment, the global autonomous data platform market is split into on-premise and cloud. The component segment is bifurcated into the platform, services, advisory, integration, and support & maintenance.

Small & medium enterprises and large enterprises are the organization sizes of autonomous data platforms.

The industry vertical segment is segmented into manufacturing, telecommunication & media, government, BFSI, healthcare & life sciences, retail, and others.

Autonomous Data Platform Market: Report Scope

Report Attributes Report Details
Report Name Autonomous Data Platform Market
Market Size in 2023 USD 2.20 Billion
Market Forecast in 2032 USD 17.66 Billion
Growth Rate CAGR of 23.2%
Number of Pages 216
Key Companies Covered Oracle Corporation, IBM, Cloudera, Inc., Amazon Web Services, Inc., Teradata Corporation, Gemini Data Inc., MapR Technologies, Inc., Qubole, Inc., Denodo Technologies Inc., and Ataccama Corporation
Segments Covered By Deployment, By Component, By Organization Size, By Industry Vertical And By Region
Regions Covered North America, Europe, Asia Pacific (APAC), Latin America, Middle East, and Africa (MEA)
Base Year 2023
Historical Year 2018 to 2022
Forecast Year 2024 - 2032
Customization Scope Avail customized purchase options to meet your exact research needs. Request For Customization

Global Autonomous Data Platform Market: Regional Analysis

Geographically, the global autonomous data platform market is bifurcated into North America, Europe, Asia Pacific, Latin America, and the Middle East & Africa. Europe is expected to sustain the largest share in the global autonomous data platform market during the forecast period. Rising inconsistency in data generated across organizations in different countries in Europe is fueling the adoption rate of autonomous data platforms and services in the region. In Europe, companies face data-related challenges in meeting global business demands and addressing regulatory requirements simultaneously. On the other hand, North America is projected to grow at a faster rate and is expected to offer plenty of opportunities for market growth. Some of the factors that are propelling the growth of the market in this region include advancement in technology and the introduction of new business models by key players.

Global Autonomous Data Platform Market: Competitive Players

The global autonomous data platform market is highly concentrated owing to the presence of leading international players in the market.

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

are some of the dominant players that are functioning in the global autonomous data platform market. The leading players in the market are focusing on technological innovation such as AI and ML for enhancing the product and services. Further, some of the leading players are collaborating with small & medium scale companies and facilitate key strategies to gain a competitive edge in the market.

The Global Autonomous Data Platform Market is segmented as follows:

By deployment 

  • on-premise
  • cloud 

By component 

  • platform
  • services
  • advisory
  • integration
  • support & maintenance 

By organization size 

  • Small & medium enterprises
  • large enterprises

By industry vertical 

  • manufacturing
  • telecommunication & media
  • government
  • BFSI
  • healthcare & life sciences
  • retail
  • and others

Global Autonomous Data Platform Market: Regional Segment Analysis

  • North America
    • The U.S.
    • Canada
  • Europe
    • France
    • The UK
    • Spain
    • Germany
    • Italy
    • Rest of Europe
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Southeast Asia
    • Rest of Asia Pacific
  • Latin America
    • Brazil
    • Mexico
    • Rest of Latin America
  • Middle East & Africa
    • GCC
    • South Africa
    • Rest of Middle East & Africa

What Reports Provide

  • Full in-depth analysis of the parent market
  • Important changes in market dynamics
  • Segmentation details of the market
  • Former, on-going, and projected market analysis in terms of volume and value
  • Assessment of niche industry developments
  • Market share analysis
  • Key strategies of major players
  • Emerging segments and regional markets
  • Testimonials to companies in order to fortify their foothold in the market.

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FrequentlyAsked Questions

Factors that are fueling the growth of the global market include the Rising implementation of cognitive computing technology and the increasing volume of structured and unstructured data. Furthermore, rising demand for autonomous data management products and services from emerging markets such as the Asia Pacific and MEA is anticipated to offer lucrative opportunities for market growth in the forecast period. In addition, growing demand from small and medium scale organizations is expected to enhance the Autonomous data platform market growth.

Oracle Corporation, IBM, Cloudera, Inc., Amazon Web Services, Inc., Teradata Corporation, Gemini Data Inc., MapR Technologies, Inc., Qubole, Inc., Denodo Technologies Inc., and Ataccama Corporation are some of the dominant players that are functioning in the global Autonomous data platform market.

Europe is expected to sustain the largest share in the global autonomous data platform market during the forecast period. Rising inconsistency in data generated across organizations in different countries in Europe fueling the adoption rate of autonomous data platforms and services in the region.

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