자율형 데이터베이스 시장 예측(-2032년) : 구성요소별, 전개 방식별, 조직 규모별, 기능 세트별, 용도별, 최종사용자별, 지역별 분석

According to Stratistics MRC, the Global Autonomous Database Market is accounted for $2.16 billion in 2025 and is expected to reach $7.41 billion by 2032 growing at a CAGR of 19.2% during the forecast period. An autonomous database refers to an intelligent data platform that independently manages, secures, and maintains itself using automation and AI technologies. It streamlines operations by automatically executing activities like setup, optimization, updating, backup, and resource scaling. By reducing the need for manual involvement, it improves system reliability, performance, and protection against failures. Businesses adopt autonomous databases to cut operational effort, boost efficiency, and gain timely insights, making it valuable for handling modern, data-intensive workloads and applications.

Market Dynamics:

Driver:

Need for real-time insights

Autonomous databases enable continuous monitoring and automated optimization, ensuring insights are delivered without manual intervention. As industries adopt AI-driven workflows, the need for instant analytics becomes even more crucial. Businesses are leveraging autonomous systems to handle streaming data from IoT sensors, customer interactions, and digital platforms. This shift supports proactive operations, predictive intelligence, and improved customer experiences. Consequently, the push for real-time data visibility is accelerating the adoption of autonomous database solutions.

Restraint:

Data quality issues

Poorly structured, inconsistent, or incomplete data reduces the accuracy of automated processes. Even advanced AI-driven systems struggle to perform optimally when underlying data is unreliable. Organizations often face challenges in integrating legacy systems, leading to discrepancies and errors. These issues increase the need for additional validation tools and data governance frameworks. As a result, data quality concerns continue to slow down the full-scale deployment of autonomous databases.

Opportunity:

Cloud-native adoption

Businesses are migrating workloads to the cloud to benefit from scalability, flexibility, and reduced infrastructure overhead. Autonomous databases integrate seamlessly with cloud environments, enabling self-tuning, self-healing, and automated updates. As hybrid and multi-cloud strategies gain momentum, organizations are exploring autonomous systems for improved operational efficiency. The rise of digital transformation initiatives is pushing enterprises to modernize data architectures. This shift toward cloud-native ecosystems greatly expands market growth prospects.

Threat:

Data privacy and security breaches

As databases become more automated, cyberattacks targeting misconfigurations or vulnerabilities can increase. Sensitive data stored in cloud environments is particularly exposed to unauthorized access. Regulatory frameworks like GDPR and CCPA further heighten compliance challenges. Breaches can undermine trust in autonomous systems, discouraging adoption among risk-averse industries. Thus, ongoing cybersecurity risks create significant hurdles for market expansion.

Covid-19 Impact:

The Covid-19 pandemic accelerated the shift toward digital infrastructure and automated data systems. Organizations adopted autonomous databases to support remote operations and maintain business continuity. This transition increased reliance on real-time analytics for supply chain, healthcare, and customer engagement processes. However, initial disruptions slowed implementation timelines and impacted IT spending. As a result, the pandemic ultimately strengthened the market's growth trajectory.

The solution segment is expected to be the largest during the forecast period

The solution segment is expected to account for the largest market share during the forecast period, due to increasing demand for self-managing database platforms. These solutions offer automated performance tuning, backup, patching, and security controls. Organizations prefer integrated offerings that reduce manual workload and improve reliability. Advancements in AI and machine learning are enhancing the intelligence of autonomous database solutions. Enterprises are adopting these systems to support large-scale analytics, mission-critical workloads, and cloud migration strategies.

The healthcare and life sciences segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the healthcare and life sciences segment is predicted to witness the highest growth rate, due to growing needs for efficient data management. Autonomous databases support real-time clinical analysis, patient monitoring, and research data processing. The rise of telemedicine and digital health platforms further increases the demand for automated data solutions. AI-powered capabilities enable faster diagnosis, predictive analytics, and treatment personalization. Strict regulatory requirements drive adoption of secure, compliant, and self-governing database systems.

Region with largest share:

During the forecast period, the North America region is expected to hold the largest market share, due to strong technological infrastructure and high cloud adoption. Major enterprises in the region are early adopters of AI-driven database systems. The presence of key technology providers accelerates innovation and deployment. Industries such as finance, healthcare, and retail rely heavily on real-time analytics, boosting market growth. Government initiatives supporting digital transformation further strengthen regional demand.

Region with highest CAGR:

Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR, owing to rapid digitization across emerging economies. Organizations in the region are adopting cloud-based systems to modernize IT operations. Growing investments in AI, automation, and advanced analytics are propelling autonomous database adoption. Industries such as e-commerce, BFSI, and telecom are expanding their use of real-time data platforms. Government-led smart infrastructure projects further accelerate market uptake.

Key players in the market

Some of the key players in Autonomous Database Market include Oracle Corp, Amazon W, Microsoft, Google LLC, IBM Corp, Snowflake, Teradata C, Databricks, SAP SE, Alibaba Cl, Huawei Te, MongoDB, Cockroach, Couchbase, and DataStax.

Key Developments:

In November 2025, IBM and the University of Dayton announced an agreement for the joint research and development of next-generation semiconductor technologies and materials. The collaboration aims to advance critical technologies for the age of AI including AI hardware, advanced packaging, and photonics.

In October 2025, Oracle announced collaboration with Microsoft to develop an integration blueprint to help manufacturers improve supply chain efficiency and responsiveness. The blueprint will enable organizations using Oracle Fusion Cloud Supply Chain & Manufacturing (SCM) to improve data-driven decision making and automate key supply chain processes by capturing live insights from factory equipment and sensors through Azure IoT Operations and Microsoft Fabric.

Components Covered:

• Solution
• Services

Deployment Modes Covered:

• Public Cloud
• Private Cloud
• Hybrid Cloud

Organization Sizes Covered:

• Large Enterprises
• Small & Medium Enterprises (SMEs)

Feature Sets Covered:

• Self-Driving
• Self-Securing
• Self-Repairing
• Autonomous Performance Optimization
• Automated Backup & Lifecycle Management

Applications Covered:

• Data Warehousing
• Analytics & Reporting
• Transaction Processing (OLTP)
• Backup & Disaster Recovery
• Financial Planning & Accounting
• Asset & Inventory Management
• Customer Experience & CRM
• Fraud Detection & Risk Management

End Users Covered:

• Cloud Service Providers
• Enterprises
• Data Analytics Companies
• IT Service & Managed Service Providers
• Other End Users

Regions Covered:

• North America
  • US
  • Canada
  • Mexico
• Europe
  • Germany
  • UK
  • Italy
  • France
  • Spain
  • Rest of Europe
• Asia Pacific
  • Japan
  • China
  • India
  • Australia
  • New Zealand
  • South Korea
  • Rest of Asia Pacific
• South America
  • Argentina
  • Brazil
  • Chile
  • Rest of South America
• Middle East & Africa
  • Saudi Arabia
  • UAE
  • Qatar
  • South Africa
  • Rest of Middle East & Africa

What our report offers:

• Market share assessments for the regional and country-level segments
• Strategic recommendations for the new entrants
• Covers Market data for the years 2024, 2025, 2026, 2028, and 2032
• Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
• Strategic recommendations in key business segments based on the market estimations
• Competitive landscaping mapping the key common trends
• Company profiling with detailed strategies, financials, and recent developments
• Supply chain trends mapping the latest technological advancements

Free Customization Offerings:

All the customers of this report will be entitled to receive one of the following free customization options:

• Company Profiling
  • Comprehensive profiling of additional market players (up to 3)
  • SWOT Analysis of key players (up to 3)
• Regional Segmentation
  • Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
• Competitive Benchmarking
  • Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary

2 Preface

• 2.1 Abstract
• 2.2 Stake Holders
• 2.3 Research Scope
• 2.4 Research Methodology
  • 2.4.1 Data Mining
  • 2.4.2 Data Analysis
  • 2.4.3 Data Validation
  • 2.4.4 Research Approach
• 2.5 Research Sources
  • 2.5.1 Primary Research Sources
  • 2.5.2 Secondary Research Sources
  • 2.5.3 Assumptions

3 Market Trend Analysis

• 3.1 Introduction
• 3.2 Drivers
• 3.3 Restraints
• 3.4 Opportunities
• 3.5 Threats
• 3.6 Application Analysis
• 3.7 End User Analysis
• 3.8 Emerging Markets
• 3.9 Impact of Covid-19

4 Porters Five Force Analysis

• 4.1 Bargaining power of suppliers
• 4.2 Bargaining power of buyers
• 4.3 Threat of substitutes
• 4.4 Threat of new entrants
• 4.5 Competitive rivalry

5 Global Autonomous Database Market, By Component

• 5.1 Introduction
• 5.2 Solution
• 5.3 Services
  • 5.3.1 Professional Services
  • 5.3.2 Managed Services

6 Global Autonomous Database Market, By Deployment Mode

• 6.1 Introduction
• 6.2 Public Cloud
• 6.3 Private Cloud
• 6.4 Hybrid Cloud

7 Global Autonomous Database Market, By Organization Size

• 7.1 Introduction
• 7.2 Large Enterprises
• 7.3 Small & Medium Enterprises (SMEs)

8 Global Autonomous Database Market, By Feature Set

• 8.1 Introduction
• 8.2 Self-Driving
  • 8.2.1 Automated provisioning
  • 8.2.2 Auto-scaling
• 8.3 Self-Securing
  • 8.3.1 Automated patching
  • 8.3.2 Threat detection
• 8.4 Self-Repairing
  • 8.4.1 Automated recovery
  • 8.4.2 Fault detection
• 8.5 Autonomous Performance Optimization
• 8.6 Automated Backup & Lifecycle Management

9 Global Autonomous Database Market, By Application

• 9.1 Introduction
• 9.2 Data Warehousing
• 9.3 Analytics & Reporting
• 9.4 Transaction Processing (OLTP)
• 9.5 Backup & Disaster Recovery
• 9.6 Financial Planning & Accounting
• 9.7 Asset & Inventory Management
• 9.8 Customer Experience & CRM
• 9.9 Fraud Detection & Risk Management

10 Global Autonomous Database Market, By End User

• 10.1 Introduction
• 10.2 Cloud Service Providers
• 10.3 Enterprises
• 10.4 Data Analytics Companies
• 10.5 IT Service & Managed Service Providers
• 10.6 Other End Users

11 Global Autonomous Database Market, By Geography

• 11.1 Introduction
• 11.2 North America
  • 11.2.1 US
  • 11.2.2 Canada
  • 11.2.3 Mexico
• 11.3 Europe
  • 11.3.1 Germany
  • 11.3.2 UK
  • 11.3.3 Italy
  • 11.3.4 France
  • 11.3.5 Spain
  • 11.3.6 Rest of Europe
• 11.4 Asia Pacific
  • 11.4.1 Japan
  • 11.4.2 China
  • 11.4.3 India
  • 11.4.4 Australia
  • 11.4.5 New Zealand
  • 11.4.6 South Korea
  • 11.4.7 Rest of Asia Pacific
• 11.5 South America
  • 11.5.1 Argentina
  • 11.5.2 Brazil
  • 11.5.3 Chile
  • 11.5.4 Rest of South America
• 11.6 Middle East & Africa
  • 11.6.1 Saudi Arabia
  • 11.6.2 UAE
  • 11.6.3 Qatar
  • 11.6.4 South Africa
  • 11.6.5 Rest of Middle East & Africa

12 Key Developments

• 12.1 Agreements, Partnerships, Collaborations and Joint Ventures
• 12.2 Acquisitions & Mergers
• 12.3 New Product Launch
• 12.4 Expansions
• 12.5 Other Key Strategies

13 Company Profiling

• 13.1 Oracle Corporation
• 13.2 Amazon Web Services, Inc.
• 13.3 Microsoft Corporation
• 13.4 Google LLC
• 13.5 IBM Corporation
• 13.6 Snowflake Inc.
• 13.7 Teradata Corporation
• 13.8 Databricks, Inc.
• 13.9 SAP SE
• 13.10 Alibaba Cloud
• 13.11 Huawei Technologies Co., Ltd.
• 13.12 MongoDB, Inc.
• 13.13 Cockroach Labs, Inc.
• 13.14 Couchbase, Inc.
• 13.15 DataStax, Inc.