자율 데이터 플랫폼 시장 - 세계 산업 규모, 점유율, 동향, 기회, 예측, 업계별, 전개 형태별, 지역별, 경쟁별(2020-2030년)
Autonomous Data Platform Market - Global Industry Size, Share, Trends, Opportunity, and Forecast, By Component, By Deployment, By Vertical, By Region, By Competition 2020-2030F
상품코드 : 1771143
리서치사 : TechSci Research
발행일 : 2025년 07월
페이지 정보 : 영문 185 Pages
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한글목차

자율 데이터 플랫폼 세계 시장 규모는 2024년에 18억 7,000만 달러로 평가되었습니다. 2030년에는 72억 1,000만 달러에 달하고, 예측 기간 중 연평균 복합 성장률(CAGR)은 25.22%를 보일 것으로 예측됩니다.

이 시장에는 인공지능, 머신러닝, 고급 분석 등의 기술을 활용하여 인간의 개입을 최소화하는 지능형 자체 운영 데이터 관리 시스템이 포함됩니다. 이러한 플랫폼은 수집, 통합, 저장, 거버넌스, 분석 등 엔드투엔드 데이터 기능을 자동으로 관리합니다. 이를 통해 기업은 데이터 성능을 개선하고, 컴플라이언스를 유지하며, 적시에 통찰력을 제공함으로써 복잡한 디지털 생태계에서 중요한 역할을 할 수 있도록 설계되어 있습니다. 산업 전반에 걸쳐 생성되는 데이터 양 증가와 실시간 분석 및 오류 없는 업무에 대한 수요 증가가 자율형 데이터 플랫폼의 도입을 촉진하는 주요 요인으로 작용하고 있습니다. 헬스케어, 금융, 소매, 제조 등 다양한 분야의 조직들이 비용 절감, 정확도 향상, 대규모 디지털 전환을 지원하기 위해 이러한 플랫폼을 도입하고 있습니다.

시장 개요
예측 기간 2026-2030년
시장 규모 : 2024년 18억 7,000만 달러
시장 규모 : 2030년 72억 1,000만 달러
2025-2030년 CAGR 25.22%
급성장 부문 IT &텔레콤
최대 시장 북미

시장 성장 촉진요인

기업의 디지털 전환을 위한 노력 가속화

주요 시장 이슈

높은 구현 복잡성 및 통합 장벽

주요 시장 동향

산업 특화형 자율 데이터 솔루션 확대

목차

제1장 솔루션 개요

제2장 조사 방법

제3장 주요 요약

제4장 고객의 소리

제5장 세계의 자율 데이터 플랫폼 시장 전망

제6장 북미의 자율 데이터 플랫폼 시장 전망

제7장 유럽의 자율 데이터 플랫폼 시장 전망

제8장 아시아태평양의 자율 데이터 플랫폼 시장 전망

제9장 중동 및 아프리카의 자율 데이터 플랫폼 시장 전망

제10장 남미의 자율 데이터 플랫폼 시장 전망

제11장 시장 역학

제12장 시장 동향과 발전

제13장 기업 개요

제14장 전략적 제안

제15장 회사 소개 및 면책조항

LSH
영문 목차

영문목차

The Global Autonomous Data Platform Market was valued at USD 1.87 billion in 2024 and is anticipated to reach USD 7.21 billion by 2030, growing at a CAGR of 25.22% during the forecast period. This market encompasses intelligent, self-operating data management systems that minimize human intervention by leveraging technologies such as artificial intelligence, machine learning, and advanced analytics. These platforms manage end-to-end data functions-including collection, integration, storage, governance, and analysis-automatically. Their design enables enterprises to enhance data performance, maintain compliance, and deliver timely insights, thereby playing a crucial role in complex digital ecosystems. The rising data volumes generated across industries, combined with a growing demand for real-time analytics and error-free operations, are key factors fueling the adoption of autonomous data platforms. Organizations across sectors such as healthcare, finance, retail, and manufacturing are implementing these platforms to reduce costs, improve accuracy, and support digital transformation at scale.

Market Overview
Forecast Period2026-2030
Market Size 2024USD 1.87 Billion
Market Size 2030USD 7.21 Billion
CAGR 2025-203025.22%
Fastest Growing SegmentIT & Telecom
Largest MarketNorth America

Key Market Drivers

Accelerating Enterprise Digital Transformation Initiatives

Digital transformation is a central strategy across modern enterprises, and autonomous data platforms are increasingly seen as essential enablers of this shift. These platforms automate the complete data lifecycle-from ingestion to analysis-requiring minimal manual oversight, which aligns with the digital-first approaches adopted across industries. As organizations focus on agility and innovation, autonomous platforms offer the scalability and intelligence needed to support smart, connected ecosystems. The United Nations Digital Economy Report highlights that over 65% of the global GDP in 2023 was digitally influenced, indicating how integral data-driven platforms have become in driving business performance and competitiveness.

With the expansion of digital infrastructure, the complexity of managing large, diverse datasets has grown. Autonomous data platforms simplify integration across legacy and modern systems, streamline real-time decision-making, and facilitate cross-functional collaboration. This reduces the burden on data engineers and allows technical teams to focus on innovation. As a result, these platforms are helping organizations build adaptive, intelligent frameworks that enhance operational agility and deliver faster business outcomes.

Key Market Challenges

High Implementation Complexity and Integration Barriers

Despite their advantages, deploying autonomous data platforms presents significant challenges, particularly related to integration and implementation within existing enterprise environments. Many organizations continue to rely on legacy infrastructures that are not optimized for the automated, self-managing capabilities offered by modern platforms. These outdated systems often include fragmented data warehouses, manual governance protocols, and on-premises setups with limited cloud compatibility.

Migrating to an autonomous platform typically requires comprehensive reengineering of core data architecture, updates to data pipelines, and alignment of internal workflows. This transformation demands significant financial investment and technical resources, which can extend deployment timelines and disrupt ongoing operations. The complexity and scale of integration efforts act as major barriers to adoption, especially for organizations seeking seamless and minimally disruptive transitions. As a result, implementation remains a critical challenge, despite the strong business case for automation and intelligence in data management.

Key Market Trends

Expansion of Industry-Specific Autonomous Data Solutions

The market is witnessing a growing shift toward customized autonomous data platforms tailored to the specific requirements of different industries. Rather than offering generalized capabilities, vendors are introducing specialized solutions designed to meet sectoral compliance standards, data structures, and performance needs. Industries such as healthcare, finance, retail, and manufacturing are seeing increasing adoption of domain-focused platforms that deliver improved insights and operational alignment.

For example, in healthcare, platforms are being developed with features that manage protected health information and support compliance with regulations like HIPAA, while enabling predictive clinical analytics. Financial institutions are adopting platforms that offer real-time fraud detection and risk analytics aligned with regulatory mandates. These industry-specific platforms streamline deployment, enhance ROI, and meet strategic business goals more effectively. The move toward verticalized offerings allows vendors to differentiate their products and meet rising demand for tailored, high-performance data management solutions.

Key Market Players

Report Scope:

In this report, the Global Autonomous Data Platform Market has been segmented into the following categories, in addition to the industry trends which have also been detailed below:

Autonomous Data Platform Market, By Component:

Autonomous Data Platform Market, By Deployment:

Autonomous Data Platform Market, By Vertical:

Autonomous Data Platform Market, By Region:

Competitive Landscape

Company Profiles: Detailed analysis of the major companies present in the Global Autonomous Data Platform Market.

Available Customizations:

Global Autonomous Data Platform Market report with the given market data, Tech Sci Research offers customizations according to a company's specific needs. The following customization options are available for the report:

Company Information

Table of Contents

1. Solution Overview

2. Research Methodology

3. Executive Summary

4. Voice of Customer

5. Global Autonomous Data Platform Market Outlook

6. North America Autonomous Data Platform Market Outlook

7. Europe Autonomous Data Platform Market Outlook

8. Asia Pacific Autonomous Data Platform Market Outlook

9. Middle East & Africa Autonomous Data Platform Market Outlook

10. South America Autonomous Data Platform Market Outlook

11. Market Dynamics

12. Market Trends and Developments

13. Company Profiles

14. Strategic Recommendations

15. About Us & Disclaimer

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