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시장보고서
상품코드
1796112
클라우드 기반 데이터 관리 서비스 시장 규모, 점유율, 성장 분석 : 배포 방식별, 유형별, 기능별, 업종별, 지역별 - 산업 예측(2025-2032년)Cloud Based Data Management Services Market Size, Share, and Growth Analysis, By Deployment Type (Public, Private), By Type (Structured, Unstructured), By Function, By Vertical, By Region, And Industry Forecast, 2025-2032 |
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세계의 클라우드 기반 데이터 관리 서비스 시장 규모는 2023년에 418억 달러로 평가되며, 2024년 488억 달러에서 2032년에는 1,691억 달러로 성장하며, 예측 기간(2025-2032년)의 CAGR은 16.8%로 성장할 전망입니다.
세계 클라우드 기반 데이터 관리 서비스 시장은 AI와 실시간 분석의 도입 증가와 함께 정형 및 비정형 데이터의 급증으로 인해 큰 폭으로 성장하고 있습니다. 디지털 전환이 진행되면서 기업은 확장성이 뛰어난 재해복구 솔루션을 우선시하고 있으며, GDPR(EU 개인정보보호규정), HIPAA 등의 규제 준수를 보장하는 클라우드 플랫폼에 대한 수요가 증가하고 있습니다. 하이브리드 및 원격 근무 모델로의 전환은 방대한 데이터 스트림을 생성하는 5G 및 IoT 기술의 발전에 힘입어 클라우드 배포이 더욱 가속화되고 있습니다. 그러나 높은 데이터 마이그레이션 비용, 데이터 프라이버시 우려, 보안 위험, 규제 복잡성 등의 문제가 시장 확대의 걸림돌로 작용하고 있습니다. 그러나 AI와 ML 기술은 데이터 통합, 보안, 거버넌스를 강화하고 보다 효율적이고 스마트한 의사결정을 촉진함으로써 상황을 바꾸고 있습니다.
Global Cloud Based Data Management Services Market size was valued at USD 41.8 Billion in 2023 and is poised to grow from USD 48.8 Billion in 2024 to USD 169.1 Billion by 2032, growing at a CAGR of 16.8% during the forecast period (2025-2032).
The global cloud-based data management services market is witnessing substantial growth driven by the surge in both structured and unstructured data, alongside the increasing adoption of AI and real-time analytics. Organizations are prioritizing scalable disaster recovery solutions amid ongoing digital transformation, raising the demand for cloud platforms that ensure compliance with regulations like GDPR and HIPAA. The transition to hybrid and remote work models is further accelerating cloud deployment, fueled by advancements in 5G and IoT technologies generating vast data streams. However, challenges such as high data migration costs, data privacy concerns, security risks, and regulatory complexities hinder market expansion. Yet, AI and ML technologies are revolutionizing the landscape by enhancing data integration, security, and governance, fostering greater efficiency and smarter decision-making.
Top-down and bottom-up approaches were used to estimate and validate the size of the Global Cloud Based Data Management Services market and to estimate the size of various other dependent submarkets. The research methodology used to estimate the market size includes the following details: The key players in the market were identified through secondary research, and their market shares in the respective regions were determined through primary and secondary research. This entire procedure includes the study of the annual and financial reports of the top market players and extensive interviews for key insights from industry leaders such as CEOs, VPs, directors, and marketing executives. All percentage shares split, and breakdowns were determined using secondary sources and verified through Primary sources. All possible parameters that affect the markets covered in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data.
Global Cloud Based Data Management Services Market Segments Analysis
The global cloud-based data management services market is segmented by deployment type, type, function, vertical, and region. Based on type, the market is segmented into public, private, and hybrid. Based on type, the market is segmented into structured, unstructured, and semi-structured. Based on function, the market is segmented into data analytics, data storage and backup, database management, and data integration. Based on vertical, the market is segmented into healthcare, financial services, retail, manufacturing, and government. Based on region, the market is segmented into North America, Europe, Asia Pacific, Latin America, and the Middle East and Africa.
Driver of the Global Cloud Based Data Management Services Market
A key market driver for the Global Cloud Based Data Management Services Market is the growing demand for real-time data analytics across various sectors. As organizations increasingly recognize the value of data-driven decision-making, the need for efficient management and accessibility of vast amounts of data becomes critical. Cloud-based solutions offer flexibility, scalability, and cost-effectiveness, enabling businesses to store, process, and analyze data without the constraints of traditional infrastructure. Additionally, the rising adoption of Internet of Things (IoT) devices and automation tools amplifies the volume of data generated, further propelling the need for robust cloud data management services to ensure proper handling and compliance.
Restraints in the Global Cloud Based Data Management Services Market
One significant restraint for the Global Cloud Based Data Management Services Market is the increasing concerns regarding data privacy and security. As organizations migrate sensitive information to cloud platforms, the risk of data breaches, unauthorized access, and regulatory non-compliance rises. This apprehension can lead to reluctance among businesses to adopt cloud solutions, particularly in highly regulated industries such as finance and healthcare. Additionally, the complexities involved in migrating existing systems and data to cloud environments may deter potential clients, as they may perceive the transition as both risky and resource-intensive, thereby inhibiting market growth.
Market Trends of the Global Cloud Based Data Management Services Market
The Global Cloud Based Data Management Services market is experiencing a significant trend towards the integration of advanced AI and machine learning technologies. Organizations are increasingly seeking automated solutions for data cleaning, real-time analytics, and predictive insights, which are essential for optimizing operations and making informed decisions in complex data environments. The growing demand for intelligent cloud solutions reflects a broader shift towards enhancing efficiency and accuracy in data management. As businesses strive to leverage their data more effectively, the market is becoming increasingly competitive, positioning AI-integrated cloud services as essential tools for driving innovation and operational excellence.