Global Autonomous Data Platform Market

Autonomous Data Platform Market Size, Share, Growth Analysis, 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), By Region - Industry Forecast 2024-2031


Report ID: SQMIG45F2089 | Region: Global | Published Date: April, 2024
Pages: 197 |Tables: 144 |Figures: 78

Autonomous Data Platform Market Insights

Global Autonomous Data Platform Market size was valued at USD 1.57 Billion in 2023 and is poised to grow from USD 1.93 Billion in 2024 to USD 8.23 billion in 2031, at a CAGR 23.0% during the forecast period (2024-2031). 

The growing popularity of cutting-edge technologies including artificial intelligence (AI) and machine learning, as well as the increasing automation & digitization across industries, are anticipated to have a substantial impact on the industry's growth. The market has been impacted by the COVID-19 pandemic, and as a result, after the pandemic growth will likely be hindered. This is due to the increased rate of COVID-19 transmission from around the world and the use of work-from-home policies by businesses to protect their staff from viral diseases. As a result, many businesses have invested heavily in autonomous information system solutions to speed up and increase efficiency across all company processes. These elements are influencing the market for autonomous data platforms, which is expanding quickly.

According to the growing use of autonomous systems of information in cloud-based businesses, there is significant growth potential over the course of the forecast period. This is due to the emerging trends of cloud platforms in emerging organizations and the retention of company information primarily in the hybrid & public clouds.

An autonomous data platform offers extraordinary flexibility, allowing businesses to adjust capacity based on convenience and needs. Autonomous data platforms furthermore provide a number of techniques to examine, disseminate, and include crucial data as compared to conventional business database systems. As a result, companies can improve and increase their data management capabilities. These are the elements that are anticipated to fuel industry growth.

The industry is anticipated to expand as a result of the rising use of mental computing and cutting-edge analytical technology. Due to the quick growth of the internet and associated technologies, many organizations are producing a sizable volume of unstructured data. Due to this expanding data volume, small and medium-sized organizations are expected to have a growing demand for autonomous database platforms.

Autonomous databases' automation decreases the amount of human installation and data processing, providing decision-makers with useful insights earlier. Machine learning is used by the independent data platform to ensure that it is always running smoothly and in the way that business decision-makers want it to. For instance, machine learning can continuously and automatically patch, upgrade, adapt, and backup the system while it is in use, with little to no operator involvement. Automation reduces the likelihood that malicious or careless human action will jeopardize the safety of databases or operations.

The growing pace of technological development has increased the expectations of enterprises. These companies regularly update the cloud-based services they offer to customers to fulfill the demands of data collection, analysis, and organization for their clients. To enable automated operations & continuous software delivery pipelines, the autonomous cloud uses DevOps techniques, AI, ML, and advanced automation for native cloud settings. The use of cloud-based autonomously data platforms by enterprises also requires sizable investments, which could increase demand for this industry during the forecast period.

US Autonomous Data Platform Market is poised to grow at sustainable CAGR for the next forecast year

Market Snapshot - 2024-2031

Global Market Size

USD 1.57 Billion

Largest Segment

Platform

Fastest Growth

Platform

Growth Rate

al Autonomous Data Platform Market size was valued CAGR

Global Autonomous Data Platform Market ($ Bn)
Country Share for North America Region (%)

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Autonomous Data Platform Market Segmental Analysis

The global autonomous data platform market is segmented in terms of component, services, deployment, enterprise, end-use, and region. Based on component, the market is segmented into platform, and services. Based on services the market is segmented into advisory, integration, support & maintenance. With respect to segmentation by deployment, the market is segmented into on-premises, and cloud. Based on enterprise the market is segmented into large enterprise and small and medium enterprise (SME). Based on end-use the market is segmented into BFSI, Healthcare, Retail, Manufacturing, IT and Telecom, Government, and Others. Based on region the global Autonomous Data Platform Market is segmented into North America, Europe, Asia-Pacific, South America, and MEA.

Autonomous Data Platform Market Analysis by Component

A rise in digital & cloud-based platforms, in addition to a rise in the need for analytics, which is expected to fuel the segment's progress, contributed to the platform segment having the greatest revenue share of 68.9%. To solve significant business concerns and ensure efficient database use, a self-contained data tool analyzes the big data architecture of a particular client. It aids companies in developing and expanding their data processing capabilities. It assesses the security of a number of variables, including configuration, sensitive information, unusual database actions, and users.

The service segment is anticipated to grow at a CAGR of 24.6% throughout the projection period. Due to several diseases and the incredibly sensitive information the business manages, data loss may ensue from file corruption. Businesses are concentrating on developing a data backup & restore platform to address this issue, which is fueling the expansion of a database backup & restore service. A growing percentage of large and medium-sized businesses must save, back up, and recover significant volumes of data, which is driving the services market's expansion throughout the forecasted period.

Autonomous Data Platform Market Analysis by Deployment

The on-premises market accounted for 51.0% of total sales in 2023. Since it is thought to be safer than cloud deployment, on-premises implementation is used in enterprises where identification & privacy are crucial components of daily operations. Additionally, on-premises software is easily adaptable to specific organizational requirements. The on-premises deployment paradigm, which also protects IP addresses and data privacy and eliminates the need for third parties to maintain and preserve data, may cause businesses to avoid transferring data over the internet. Throughout the forecast period, they will support the segment's expansion. 

Global Autonomous Data Platform Market By Component, 2023 (%)

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Autonomous Data Platform Market Regional Insights

North America accounted for 36.3% of total revenue in 2023. As it is home to the majority of developed economies, such as the United States and Canada, the area is considered to be the most advanced in terms of adopting cutting-edge technology and cloud-based solutions. An enormous market increase is being driven by the rising internet and cell phone usage in North America. 

Asia-Pacific  is anticipated to experience the fastest development, with a CAGR of 24.7% in 2023. The industry is expected to continue growing swiftly since machine growing and artificial intelligence are increasingly being used to help decision-making. Demand for separate information platforms is also being fueled by organizations’ ability to combine customer data from several sources onto a single platform, reducing the number of computational hours required. 

The automated data platform industry is anticipated to experience new development opportunities as a result of significant investments made in R&D activities to improve these systems' capabilities. Therefore, it is estimated that the Asia Pacific region will have significant growth for autonomously database platforms over the projected time. 

Global Autonomous Data Platform Market By Geography, 2024-2031
  • Largest
  • Fastest

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Autonomous Data Platform Market Dynamics

Autonomous Data Platform Market Drivers

Growing Complexity of Data Management

  • With the exponential growth of data sources and formats, organizations are struggling to manage and integrate diverse data sets effectively. Autonomous Data Platforms provide automated solutions for data ingestion, integration, and management, reducing the complexity associated with data management processes.

Autonomous Data Platform Market Restraints

Integration Challenges

  • Integrating Autonomous Data Platforms with existing IT systems and infrastructure can be a complex process. Legacy systems, data silos, and incompatible technologies may pose integration challenges, leading to delays and additional costs. Seamless integration with existing systems is crucial for organizations to leverage the full potential of Autonomous Data Platforms.

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Autonomous Data Platform Market Competitive Landscape

To support growth and improve their internal company operations, the important companies are seen to allocate resources to R&D initiatives. Companies can be observed participating in partnerships and mergers & acquisitions to improve their products and acquire a competitive edge in the market. To attract new clients and increase market share, they are successfully developing new items and improving old ones.

For instance, Oracle and Informatica, a vendor of cloud-based corporate data management software, partnered in May 2022. As part of this partnership, both businesses will offer industry-leading cloud management of information, connectivity, and regulatory solutions along with databases, servers for databases, big data, data lake homes, business analytics, and information science.

Autonomous Data Platform Market Top Player’s Company Profiles

  • Cloudera
  • Snowflake
  • IBM
  • Oracle
  • SAP
  • Talend
  • Alteryx
  • Denodo Technologies
  • AtScale
  • Qlik
  • TIBCO Software
  • Databricks
  • Palantir Technologies
  • HPE (Hewlett Packard Enterprise)
  • MapR Technologies
  • Zaloni
  • Paxata (acquired by DataRobot)

Autonomous Data Platform Market Recent Developments

  • In April 2023, Oracle announced enhancements to its Autonomous Database platform, including new AI-driven analytics capabilities and automated data governance features. These updates aim to help enterprises gain deeper insights and ensure compliance with regulatory standards while reducing manual data management tasks. 

  • In December 2023, Microsoft launched the Azure Synapse AutoPilot, an autonomous data platform that leverages machine learning to optimize query performance and resource allocation dynamically. This platform is designed to simplify big data analytics and accelerate decision-making processes for businesses. 

  • In March 2023, Snowflake unveiled new features for its autonomous data cloud platform, including automated performance tuning and self-healing capabilities. These features are designed to enhance the platform's efficiency and reliability, enabling users to focus on data-driven innovation. 

Autonomous Data Platform Key Market Trends

  • Growing Adoption of Cloud-based Solutions: There is a significant trend towards adopting cloud-based Autonomous Data Platforms. Organizations are leveraging the scalability, flexibility, and cost-effectiveness of cloud infrastructure to manage and analyze large volumes of data. Cloud-based solutions also provide easier access to AI and ML technologies, enabling faster deployment and integration of autonomous capabilities.
  • Focus on Data Governance and Compliance: As data privacy regulations become stricter worldwide, there is an increased emphasis on data governance and compliance within Autonomous Data Platforms. Organizations are seeking platforms that offer robust data governance features, including data lineage, data cataloging, access controls, and auditing capabilities, to ensure compliance with regulations such as GDPR and CCPA.
  • Integration with Data Science and AI/ML Tools: Autonomous Data Platforms are increasingly being integrated with data science and AI/ML tools to enable end-to-end data processing and analytics workflows. This integration allows data scientists and analysts to leverage advanced analytics and machine learning algorithms directly within the platform, streamlining the data-to-insights process.
  • Focus on Real-time and Streaming Data Processing: With the rise of IoT devices, edge computing, and real-time analytics, there is a growing demand for Autonomous Data Platforms that can handle streaming data processing. Platforms that offer capabilities for real-time data ingestion, processing, and analytics are gaining traction, enabling organizations to derive actionable insights from data as it flows in.

Autonomous Data Platform Market SkyQuest Analysis

SkyQuest’s ABIRAW (Advanced Business Intelligence, Research & Analysis Wing) is our Business Information Services team that Collects, Collates, Co-relates and Analyzes the Data collected by means of Primary Exploratory Research backed by the robust Secondary Desk research.

Based on our analysis of the global autonomous data platform market, the rapid advancement of technology has heightened enterprise expectations. These businesses consistently enhance their cloud-based services to meet the evolving needs of data collection, analysis, and organization for their clientele. The autonomous cloud employs DevOps methodologies, AI, ML, and sophisticated automation within native cloud environments to facilitate automated operations and seamless software delivery pipelines. Adoption of cloud-based autonomous data platforms necessitates substantial investments by enterprises, potentially driving increased demand for this sector in the foreseeable future. 

Report Metric Details
Market size value in 2023 USD 1.57 Billion
Growth Rate al Autonomous Data Platform Market size was valued at USD 1.57 Billion in 2023 and is poised to grow from USD 1.93 Billion in 2024 to USD 8.23 billion in 2031, at a CAGR 23.0%
Base year 2023
Forecast period 2024-2031
Segments covered
  • Component
    • Platform, and Services
  • Services
    • Advisory, Integration, and Support & Maintenance
  • Deployment
    • On-premises, and Cloud
  • Enterprise
    • Large Enterprise and Small and Medium Enterprise (SME)
  • End-use
    • BFSI, Healthcare, Retail, Manufacturing, IT and Telecom, Government, and Others
Regions covered North America (US, Canada), Europe (Germany, France, United Kingdom, Italy, Spain, Rest of Europe), Asia Pacific (China, India, Japan, Rest of Asia-Pacific), Latin America (Brazil, Rest of Latin America), Middle East & Africa (South Africa, GCC Countries, Rest of MEA)
Companies covered
  • Cloudera
  • Snowflake
  • IBM
  • Oracle
  • SAP
  • Talend
  • Alteryx
  • Denodo Technologies
  • AtScale
  • Qlik
  • TIBCO Software
  • Databricks
  • Palantir Technologies
  • HPE (Hewlett Packard Enterprise)
  • MapR Technologies
  • Zaloni
  • Paxata (acquired by DataRobot)
Customization scope

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Table Of Content

Executive Summary

Market overview

  • Exhibit: Executive Summary – Chart on Market Overview
  • Exhibit: Executive Summary – Data Table on Market Overview
  • Exhibit: Executive Summary – Chart on Autonomous Data Platform Market Characteristics
  • Exhibit: Executive Summary – Chart on Market by Geography
  • Exhibit: Executive Summary – Chart on Market Segmentation
  • Exhibit: Executive Summary – Chart on Incremental Growth
  • Exhibit: Executive Summary – Data Table on Incremental Growth
  • Exhibit: Executive Summary – Chart on Vendor Market Positioning

Parent Market Analysis

Market overview

Market size

  • Market Dynamics
    • Exhibit: Impact analysis of DROC, 2021
      • Drivers
      • Opportunities
      • Restraints
      • Challenges
  • SWOT Analysis

KEY MARKET INSIGHTS

  • Technology Analysis
    • (Exhibit: Data Table: Name of technology and details)
  • Pricing Analysis
    • (Exhibit: Data Table: Name of technology and pricing details)
  • Supply Chain Analysis
    • (Exhibit: Detailed Supply Chain Presentation)
  • Value Chain Analysis
    • (Exhibit: Detailed Value Chain Presentation)
  • Ecosystem Of the Market
    • Exhibit: Parent Market Ecosystem Market Analysis
    • Exhibit: Market Characteristics of Parent Market
  • IP Analysis
    • (Exhibit: Data Table: Name of product/technology, patents filed, inventor/company name, acquiring firm)
  • Trade Analysis
    • (Exhibit: Data Table: Import and Export data details)
  • Startup Analysis
    • (Exhibit: Data Table: Emerging startups details)
  • Raw Material Analysis
    • (Exhibit: Data Table: Mapping of key raw materials)
  • Innovation Matrix
    • (Exhibit: Positioning Matrix: Mapping of new and existing technologies)
  • Pipeline product Analysis
    • (Exhibit: Data Table: Name of companies and pipeline products, regional mapping)
  • Macroeconomic Indicators

COVID IMPACT

  • Introduction
  • Impact On Economy—scenario Assessment
    • Exhibit: Data on GDP - Year-over-year growth 2016-2022 (%)
  • Revised Market Size
    • Exhibit: Data Table on Autonomous Data Platform Market size and forecast 2021-2027 ($ million)
  • Impact Of COVID On Key Segments
    • Exhibit: Data Table on Segment Market size and forecast 2021-2027 ($ million)
  • COVID Strategies By Company
    • Exhibit: Analysis on key strategies adopted by companies

MARKET DYNAMICS & OUTLOOK

  • Market Dynamics
    • Exhibit: Impact analysis of DROC, 2021
      • Drivers
      • Opportunities
      • Restraints
      • Challenges
  • Regulatory Landscape
    • Exhibit: Data Table on regulation from different region
  • SWOT Analysis
  • Porters Analysis
    • Competitive rivalry
      • Exhibit: Competitive rivalry Impact of key factors, 2021
    • Threat of substitute products
      • Exhibit: Threat of Substitute Products Impact of key factors, 2021
    • Bargaining power of buyers
      • Exhibit: buyers bargaining power Impact of key factors, 2021
    • Threat of new entrants
      • Exhibit: Threat of new entrants Impact of key factors, 2021
    • Bargaining power of suppliers
      • Exhibit: Threat of suppliers bargaining power Impact of key factors, 2021
  • Skyquest special insights on future disruptions
    • Political Impact
    • Economic impact
    • Social Impact
    • Technical Impact
    • Environmental Impact
    • Legal Impact

Market Size by Region

  • Chart on Market share by geography 2021-2027 (%)
  • Data Table on Market share by geography 2021-2027(%)
  • North America
    • Chart on Market share by country 2021-2027 (%)
    • Data Table on Market share by country 2021-2027(%)
    • USA
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)
    • Canada
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)
  • Europe
    • Chart on Market share by country 2021-2027 (%)
    • Data Table on Market share by country 2021-2027(%)
    • Germany
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)
    • Spain
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)
    • France
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)
    • UK
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)
    • Rest of Europe
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)
  • Asia Pacific
    • Chart on Market share by country 2021-2027 (%)
    • Data Table on Market share by country 2021-2027(%)
    • China
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)
    • India
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)
    • Japan
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)
    • South Korea
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)
    • Rest of Asia Pacific
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)
  • Latin America
    • Chart on Market share by country 2021-2027 (%)
    • Data Table on Market share by country 2021-2027(%)
    • Brazil
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)
    • Rest of South America
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)
  • Middle East & Africa (MEA)
    • Chart on Market share by country 2021-2027 (%)
    • Data Table on Market share by country 2021-2027(%)
    • GCC Countries
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)
    • South Africa
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)
    • Rest of MEA
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)

KEY COMPANY PROFILES

  • Competitive Landscape
    • Total number of companies covered
      • Exhibit: companies covered in the report, 2021
    • Top companies market positioning
      • Exhibit: company positioning matrix, 2021
    • Top companies market Share
      • Exhibit: Pie chart analysis on company market share, 2021(%)

Methodology

For the Autonomous Data Platform Market, our research methodology involved a mixture of primary and secondary data sources. Key steps involved in the research process are listed below:

1. Information Procurement: This stage involved the procurement of Market data or related information via primary and secondary sources. The various secondary sources used included various company websites, annual reports, trade databases, and paid databases such as Hoover's, Bloomberg Business, Factiva, and Avention. Our team did 45 primary interactions Globally which included several stakeholders such as manufacturers, customers, key opinion leaders, etc. Overall, information procurement was one of the most extensive stages in our research process.

2. Information Analysis: This step involved triangulation of data through bottom-up and top-down approaches to estimate and validate the total size and future estimate of the Autonomous Data Platform Market.

3. Report Formulation: The final step entailed the placement of data points in appropriate Market spaces in an attempt to deduce viable conclusions.

4. Validation & Publishing: Validation is the most important step in the process. Validation & re-validation via an intricately designed process helped us finalize data points to be used for final calculations. The final Market estimates and forecasts were then aligned and sent to our panel of industry experts for validation of data. Once the validation was done the report was sent to our Quality Assurance team to ensure adherence to style guides, consistency & design.

Analyst Support

Customization Options

With the given market data, our dedicated team of analysts can offer you the following customization options are available for the Autonomous Data Platform Market:

Product Analysis: Product matrix, which offers a detailed comparison of the product portfolio of companies.

Regional Analysis: Further analysis of the Autonomous Data Platform Market for additional countries.

Competitive Analysis: Detailed analysis and profiling of additional Market players & comparative analysis of competitive products.

Go to Market Strategy: Find the high-growth channels to invest your marketing efforts and increase your customer base.

Innovation Mapping: Identify racial solutions and innovation, connected to deep ecosystems of innovators, start-ups, academics, and strategic partners.

Category Intelligence: Customized intelligence that is relevant to their supply Markets will enable them to make smarter sourcing decisions and improve their category management.

Public Company Transcript Analysis: To improve the investment performance by generating new alpha and making better-informed decisions.

Social Media Listening: To analyze the conversations and trends happening not just around your brand, but around your industry as a whole, and use those insights to make better Marketing decisions.

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FAQs

Global Autonomous Data Platform Market size was valued at USD 1.57 Billion in 2023 and is poised to grow from USD 1.93 Billion in 2024 to USD 8.23 billion in 2031, at a CAGR 23.0% during the forecast period (2024-2031). 

To support growth and improve their internal company operations, the important companies are seen to allocate resources to R&D initiatives. Companies can be observed participating in partnerships and mergers & acquisitions to improve their products and acquire a competitive edge in the market. To attract new clients and increase market share, they are successfully developing new items and improving old ones. 'Cloudera', 'Informatica', 'Snowflake', 'IBM', 'Microsoft', 'Oracle', 'SAP', 'Talend', 'Teradata', 'Alteryx', 'Denodo Technologies', 'AtScale', 'Qlik', 'TIBCO Software', 'Databricks', 'Palantir Technologies', 'HPE (Hewlett Packard Enterprise)', 'MapR Technologies', 'Zaloni', 'Paxata (acquired by DataRobot)'

With the exponential growth of data sources and formats, organizations are struggling to manage and integrate diverse data sets effectively. Autonomous Data Platforms provide automated solutions for data ingestion, integration, and management, reducing the complexity associated with data management processes.

Growing Adoption of Cloud-based Solutions: There is a significant trend towards adopting cloud-based Autonomous Data Platforms. Organizations are leveraging the scalability, flexibility, and cost-effectiveness of cloud infrastructure to manage and analyze large volumes of data. Cloud-based solutions also provide easier access to AI and ML technologies, enabling faster deployment and integration of autonomous capabilities.

North America accounted for 36.3% of total revenue in 2023. As it is home to the majority of developed economies, such as the United States and Canada, the area is considered to be the most advanced in terms of adopting cutting-edge technology and cloud-based solutions. An enormous market increase is being driven by the rising internet and cell phone usage in North America. 

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