Market Size in 2023 | Market Forecast in 2032 | CAGR (in %) | Base Year |
---|---|---|---|
USD 2.20 Billion | USD 17.66 Billion | 23.2% | 2023 |
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.
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.
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.
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 |
The global autonomous data platform market is separated based on deployment, component, organization size, industry vertical, and region. All the segments have been analyzed based on present and future trends and the market is estimated from 2024 to 2032.
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.
The regional segment includes the current and forecast demand for North America, Europe, Asia Pacific, Latin America, and the Middle East and Africa.
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.
The global autonomous data platform market is highly concentrated owing to the presence of leading international players in the market.
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
By Component
By Organization Size
By Industry Vertical
FrequentlyAsked Questions
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.
The Autonomous Data Platform Market was valued at USD 2.20 Billion in 2023.
The Autonomous Data Platform Market is expected to reach USD 17.66 Billion by 2032, growing at a CAGR of of 23.2% between 2024 to 2032.
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.
Global Autonomous Data Platform Market players such as 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.
The Regional segment includes the current and forecast demand for North America, Europe, Asia Pacific, Latin America, and the Middle East and Africa.
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