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市场调查报告书
商品编码
1558347
到 2030 年的云端物件储存市场预测:按服务类型、公司规模、部署类型、最终用户和地区进行的全球分析Cloud Object Storage Market Forecasts to 2030 - Global Analysis By Service Type, Enterprise Size, Deployment Mode, End User and By Geography |
根据Stratistics MRC预测,2024年全球云端对象储存市场规模将达79亿美元,预计2030年将达到188亿美元,预测期内复合年增长率为15.6%。
云端物件储存是扩充性且灵活的储存解决方案,旨在储存大量非结构化资料,例如檔案、图像、影片和备份。与传统文件系统不同,它将资料组织成对象,每个对象由资料本身、元资料和唯一识别码组成。云端对象储存通常由云端服务提供者提供,云端服务提供者管理基础架构和维护,使用户可以专注于资料而无需担心硬体。云端物件储存为管理大量非结构化资料提供了可扩展、安全且经济高效的解决方案。非常适合储存备份、存檔资料和巨量资料分析,以便在分散式位置轻鬆存取并实现高可用性。
资料安全需求不断成长
随着资料安全性需求的增加,云端对象储存解决方案正在快速发展以满足这些需求。云端物件储存提供扩充性且持久的资料管理,但随着安全问题的增加,提供者正在整合高级功能来保护敏感资讯。静态和传输中的加密现已成为常态,可可靠地保护资料免遭未授权存取。此外,我们实施多因素身份验证和细粒度存取控制,以加强用户验证并限制资料暴露。
延迟和效能问题
云端物件储存中的延迟和效能问题对资料存取和管理效率有重大影响。延迟,即请求和接收资料之间的延迟,通常是由用户和储存伺服器之间的地理距离、网路拥塞和低效的资料路由引起的。高延迟会减慢需要快速资料搜寻的应用程式的速度,从而导致使用者体验不佳。储存基础设施限制和扩展能力差也可能导致效能问题,例如资料上传/下载速度慢和尖峰时段出现瓶颈。高交易量、大檔案大小和次优储存配置等因素加剧了这些问题。
云端服务采用率的提高
随着越来越多的企业和个人迁移到云端,对扩充性、灵活且经济高效的储存解决方案的需求不断增加。使用量的激增正在推动云端供应商透过高级资料冗余、改进的安全通讯协定以及与其他云端服务的更好整合等功能来增强其物件储存产品。自动分层和分析等增强的资料管理功能可以优化储存成本和效能。此外,广泛采用将有助于提高竞争力,并导致速度、可近性和可靠性的持续改进。
资料传输和频宽限制
虽然云端物件储存提供了扩充性和灵活性,但它面临着资料传输和频宽限制方面的重大挑战。这些限制会阻碍云端储存系统的效率,特别是在处理大量资料时。高延迟和有限的频宽会减慢资料上传和检索过程,从而增加成本并降低效能。例如,透过频宽有限的网路传输大型檔案可能会增加延迟并中断资料流。资料传输瓶颈可能会影响依赖即时资料存取或需要在本机系统和云端之间频繁同步的应用程式。
COVID-19 大流行对云端物件储存产生了重大影响,加速了其采用和转型。随着远距工作的普及,企业和个人都需要可扩展、可靠且可存取的储存解决方案来管理数位资料和协作需求的空前成长。云端物件储存提供可扩展且经济高效的资料管理,对于支援远端业务、安全资料备份以及从不同位置无缝存取资讯已变得至关重要。这种转变也导致人们更加关注强化云端基础设施,以处理增加的流量并确保资料安全。
专业服务领域预计将在预测期内成为最大的领域
透过整合尖端功能和旨在满足不同客户需求的客製化解决方案,专业服务领域预计在预测期内将成长最大。此增强功能着重于优化云端储存环境中的效能、可扩充性和安全性。透过利用先进的资料管理工具和机器学习演算法,我们努力实现更有效率的资料搜寻、改进的备份和灾难復原选项以及更严格地遵守行业标准。此外,它还增强了与现有IT基础设施的无缝集成,提高了灵活性并降低了营运复杂性。
公共云端领域预计在预测期内复合年增长率最高。
预计公共云端领域在预测期内的复合年增长率最高。进步包括改进的资料管理功能,例如自动分层,透过将不经常存取的资料移动到成本较低的层来优化储存成本,以及加密以确保资料完整性和合规性,这包括更先进的资料保护机制,例如增强的资料保护和加密。提供者正在整合先进的分析和机器学习功能,以更好地洞察和管理储存的资料。这些改进不仅使业务更加高效,而且使企业能够更灵活地回应不断增长的需求。
估计期间,北美地区占据最大的市场占有率。随着企业从物联网设备、社交媒体和交易系统等各种来源产生和收集大量资料,对扩充性且经济高效的储存解决方案的需求不断增加。由于其扩充性、持久性和可存取性,云端物件储存提供了一种处理大量资料的有效方法。云端物件储存可以储存大量非结构化资料,并且可以根据需求灵活地轻鬆增长和收缩。此外,从任何地方存取资料并与高级分析和机器学习工具整合的能力正在推动云端物件储存解决方案的区域采用。
透过促进安全、合规的数位环境,预计欧洲地区将在预测期内实现盈利成长。欧盟 (EU) 一般资料保护规范 (GDPR) 制定了严格的资料隐私和安全标准,迫使云端供应商实施强有力的资料保护和透明度措施。 《数位服务法》(DSA)和《数位市场法》(DMA)旨在透过监管线上平台和确保课责制来创造公平和竞争的数位市场。此外,这些法规不仅保护消费者权利,还鼓励云端供应商创新和改进其服务,从而提高云端储存解决方案的可靠性和效能。
According to Stratistics MRC, the Global Cloud Object Storage Market is accounted for $7.9 billion in 2024 and is expected to reach $18.8 billion by 2030 growing at a CAGR of 15.6% during the forecast period. Cloud Object Storage is a scalable and flexible storage solution provided over the internet, designed to store vast amounts of unstructured data such as files, images, videos, and backups. Unlike traditional file systems, it organizes data into objects, each consisting of the data itself, metadata, and a unique identifier. Cloud Object Storage is typically offered by cloud service providers, which manage the infrastructure and maintenance, enabling users to focus on their data without worrying about hardware. Cloud Object Storage offers scalable, secure, and cost-effective solutions for managing vast amounts of unstructured data. It's ideal for storing backups, archival data, and big data analytics, providing easy access and high availability across distributed locations.
Increasing demand for data security
As the demand for data security escalates, Cloud Object Storage solutions are rapidly evolving to meet these needs. Cloud Object Storage offers scalable and durable data management, but with heightened security concerns, providers are integrating advanced features to protect sensitive information. Encryption at rest and in transit is now standard, ensuring that data is shielded from unauthorized access. Additionally, multi-factor authentication and fine-grained access controls are being implemented to enhance user verification and limit data exposure.
Latency and performance issues
Latency and performance issues in Cloud Object Storage can significantly impact data access and management efficiency. Latency, the delay between requesting and receiving data, often arises from the geographical distance between users and storage servers, network congestion, or inefficient data routing. High latency can slow down applications that require quick data retrieval, leading to poor user experiences. Performance issues, including slow data upload/download speeds and bottlenecks during peak times, can also occur due to the limitations in the storage infrastructure or inadequate scaling capabilities. These problems are exacerbated by factors such as high transaction volumes, large file sizes, or suboptimal storage configurations.
Increased adoption of cloud services
As more businesses and individuals migrate to the cloud, the demand for scalable, flexible, and cost-effective storage solutions increases. This surge in usage pushes cloud providers to enhance their object storage offerings with features like advanced data redundancy, improved security protocols, and greater integration with other cloud services. Enhanced data management capabilities, such as automated tiering and analytics, allow for better optimization of storage costs and performance. Additionally, the widespread adoption fosters competitive advancements, leading to continuous improvements in speed, accessibility, and reliability.
Data transfer and bandwidth limitations
Cloud Object Storage, while offering scalability and flexibility, faces significant challenges related to data transfer and bandwidth limitations. These constraints can hinder the efficiency of cloud storage systems, particularly when handling large volumes of data. High latency and limited bandwidth can slow down the process of uploading or retrieving data, leading to increased costs and reduced performance. For instance, transferring large files over a network with limited bandwidth can result in long wait times and interrupted data flows. Data transfer bottlenecks can impact applications that rely on real-time data access or require frequent synchronization between on-premises systems and the cloud.
The COVID-19 pandemic significantly impacted cloud object storage, accelerating its adoption and transformation. With a sudden surge in remote work, businesses and individuals alike required scalable, reliable, and accessible storage solutions to manage the unprecedented increase in digital data and collaboration needs. Cloud object storage, which provides scalable and cost-efficient data management, became essential for supporting remote operations, secure data backups, and seamless access to information from various locations. This shift also led to heightened focus on enhancing cloud infrastructure to handle increased traffic and ensure data security.
The Professional Services segment is expected to be the largest during the forecast period
Professional Services segment is expected to be the largest during the forecast period by integrating cutting-edge features and tailored solutions designed to meet diverse client needs. This enhancement focuses on optimizing performance, scalability, and security within cloud storage environments. By leveraging advanced data management tools and machine learning algorithms, the segment aims to provide more efficient data retrieval, improved backup and disaster recovery options, and robust compliance with industry standards. Additionally, the enhancements include seamless integration with existing IT infrastructures, offering greater flexibility and reducing operational complexities.
The Public Cloud segment is expected to have the highest CAGR during the forecast period
Public Cloud segment is expected to have the highest CAGR during the forecast period. Advances include improved data management features such as automated tiering, which optimizes storage costs by moving infrequently accessed data to lower-cost tiers, and more sophisticated data protection mechanisms like enhanced encryption and backup solutions to ensure data integrity and compliance. Providers are integrating advanced analytics and machine learning capabilities to enable better insights and management of stored data. These improvements not only streamline operations but also offer greater flexibility and responsiveness to the growing demands of businesses.
North America region commanded the largest market share during the extrapolated period. As businesses generate and collect vast amounts of data from various sources-such as IoT devices, social media, and transaction systems-the need for scalable, cost-effective storage solutions grows. Cloud Object Storage offers an efficient way to handle this influx of data due to its scalability, durability, and accessibility. It allows organizations to store large amounts of unstructured data, with the flexibility to easily scale up or down based on demand. Additionally, the ability to access data from anywhere and the integration with advanced analytics and machine learning tools are driving the regional adoption of Cloud Object Storage solutions.
Europe region is estimated to witness profitable growth over the projected period by fostering a secure and compliant digital environment. The European Union's General Data Protection Regulation (GDPR) has set stringent data privacy and security standards, compelling cloud providers to implement robust measures for data protection and transparency. The Digital Services Act (DSA) and the Digital Markets Act (DMA) aim to create a fair and competitive digital marketplace by regulating online platforms and ensuring accountability. Additionally, these regulations not only protect consumer rights but also drive cloud providers to innovate and improve their services, leading to enhanced reliability and performance in cloud storage solutions.
Key players in the market
Some of the key players in Cloud Object Storage market include Amazon Web Services, Caringo Inc, Cisco Systems, Inc, Google LLC, Hewlett-Packard Enterprise, Hitachi Data Systems, International Business Machines Corporation, Microsoft Corporation, NetApp, Inc, Oracle Corporation and Wasabi Technologies.
In January 2024, Amidata expanded offerings based on quantum. And they launched a new cloud storage service. Amidata has now deployed Active Scale object storage to build a secure, resilient set of cloud storage services accessible from across all of Australia.
In January 2024, Dell Technologies introduced Object Scale version 1.3, a ground-breaking software innovation that redefines the landscape of object storage. This latest release is offered as a fully integrated, turnkey solution, and takes the form of Object Scale XF960, an all-flash appliance that brings unprecedented speed, sustainability, and security to object storage architecture.
In May 2022, Snowflake and Dell Technologies announced a groundbreaking partnership, introducing an innovative collaboration that brings together Snowflake's cloud data technology and Dell's on-premise storage solutions. This strategic alliance aims to empower users with enhanced flexibility to operate seamlessly across multi-cloud environments, comply with data sovereignty regulations, and effortlessly convert data into valuable insights for informed decision-making.