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市场调查报告书
商品编码
1494808
到 2030 年 BDaaS(大数据即服务)市场预测:按解决方案类型、部署模型、组织规模、最终用户和区域进行的全球分析Big Data as a Service (BDaaS) Market Forecasts to 2030 - Global Analysis By Solution Type (Hadoop as a Service (HaaS), Data-as-a-Service (DaaS) and Data Analytics as a Service (DAaaS)), Deployment Model, Organization Size, End User and By Geography |
根据Stratistics MRC预测,2024年全球BDaaS(大数据即服务)市场规模将达到327亿美元,预计到2030年将达到1265亿美元,预测期内复合年增长率为25.3%。
BDaaS(大数据即服务)是一种云端基础的模型,为组织提供分析和管理大量资料所需的工具、基础设施和专业知识。 BDaaS 平台提供一整套服务,包括资料储存、处理、分析和视觉化,无需在硬体或软体方面进行大量前期投资。透过利用云端处理的可扩展性和灵活性,BDaaS 使企业能够有效率地储存和处理大量资料集、提取有价值的见解并做出资料主导的决策。这些平台通常结合机器学习和人工智慧等先进技术来优化资料处理和分析。
根据《富比士》2024年电子商务统计数据,不仅是零售,整个电子商务业务都在蓬勃发展。到 2027 年,所有零售额的 22.6% 将透过线上进行。亚马逊、速卖通和 eBay 是每年最受欢迎的电子商务网站。
资料生成量增加
随着企业和个人从社交媒体、物联网设备、感测器和线上交易等各种来源产生前所未有的大量资料,对强大的资料管理和分析解决方案的需求呈指数级增长。 BDaaS 平台提供可扩展的基础设施和先进的分析工具,以有效地储存、处理大量资料集并从中获取见解。随着资料资料、速度和种类不断增加,企业需要可扩展且灵活的解决方案来充分利用资料潜力,推动市场成长。
资料安全和隐私问题
随着企业越来越依赖BDaaS平台来管理和分析大量敏感资料,确保这些资讯的安全性和隐私性变得至关重要。引人注目的资料外洩和隐私事件削弱了人们对 BDaaS 提供者的信任,并阻碍了对这些服务的采用。对未授权存取、资料外洩和个人资讯滥用的担忧阻碍了 BDaaS 解决方案的发展,尤其是在医疗保健和金融等受监管行业。此外,GDPR 和 CCPA 等严格的资料保护条例对 BDaaS 提供者施加了法律和合规义务,增加了营运成本和复杂性,并阻碍了市场成长。
数位转型
随着企业采取数位转型倡议来实现业务现代化并利用资料主导的见解,对 BDaaS 解决方案的需求正在显着增加。进一步的数位转型通常涉及将遗留系统和应用程式迁移到云端。 BDaaS 供应商提供可扩展的云端基础的解决方案,促进无缝资料迁移、整合和管理,使组织能够利用云端运算的灵活性和敏捷性,并推动市场成长。
缺乏熟练劳动力
熟练的人员对于在 BDaaS 环境中维护强大的资料安全至关重要。需要资料安全专家来实施适当的存取控制、监控潜在威胁并确保遵守资料隐私法规。缺乏专业知识可能会引发安全问题,并使企业不愿意将敏感资料委託给 BDaaS 供应商,从而阻碍巨量资料即服务(BDaaS) 市场的发展。
COVID-19 的影响
随着远距工作和数位转型成为必然,企业越来越依赖资料分析来适应不断变化的市场动态和消费行为。 BDaaS 平台提供可扩展且灵活的资料管理和分析功能,使组织能够从大型资料集获取见解,即使员工队伍分散。此外,疫情凸显了敏捷性和弹性的重要性,促使企业投资 BDaaS 等基于云端基础的解决方案,以快速扩展业务并应对不断变化的挑战。因此,疫情刺激了 BDaaS 市场的成长,因为企业优先考虑资料主导的决策和数位创新。
Hadoop 即服务 (HaaS) 预计将在预测期内成为最大的细分市场
Hadoop 即服务 (HaaS) 领域预计将在预测期内成为最大的领域。 Hadoop作为分散式资料处理的开放原始码框架,已成为巨量资料技术的基石。 HaaS 为企业提供云端基础的管理解决方案,用于部署和操作 Hadoop 集群,从而无需本地基础设施和 IT 资源。 HaaS 和 BDaaS 平台的整合使巨量资料解决方案更具可扩展性、灵活性和成本效益。透过利用 Hadoop 的分散式运算功能,BDaaS 供应商可以为其客户提供更强大、更有效率的资料处理、储存和分析服务。
零售和消费品领域预计在预测期内复合年增长率最高。
零售和消费品领域预计在预测期内复合年增长率最高。零售和消费品公司处于利用巨量资料和分析来获得竞争优势的前沿。这些行业产生并收集大量客户资料,包括购买历史记录、浏览行为和人口统计资讯。透过利用 BDaaS 平台,这些公司可以有效地管理、分析这些资料并从中获取见解,以增强决策、优化业务并为客户提供个人化体验。
预计北美将在预测期内占据最大的市场占有率,因为完善的技术生态系统、强大的基础设施和先进分析工具的普及将促进北美 BDaaS 市场的快速成长。包括医疗保健、金融和电子商务在内的各个行业的公司越来越多地采用 BDaaS 来简化其资料处理和存储需求,利用基于云端基础的平台提供的可扩展性和成本效率,这支持了市场成长。
由于越来越多地采用云端基础的资料管理解决方案以及对资料主导决策的需求不断增长,预计亚太地区在预测期内将保持最高的复合年增长率。 BDaaS 平台使组织能够存取和利用大型复杂资料集,而无需对基础架构或 IT 资源进行大量投资。此外,由于亚太地区数位格局的快速扩张以及对资料主导计划的日益重视,亚太地区正在成为 BDaaS 的主要市场。
According to Stratistics MRC, the Global Big Data as a Service (BDaaS) Market is accounted for $32.7 billion in 2024 and is expected to reach $126.5 billion by 2030 growing at a CAGR of 25.3% during the forecast period. Big Data as a Service (BDaaS) is a cloud-based model that provides organizations with access to the tools, infrastructure, and expertise needed to analyze and manage large volumes of data. BDaaS platforms offer a comprehensive suite of services, including data storage, processing, analytics, and visualization, without the need for significant upfront investment in hardware or software. By leveraging the scalability and flexibility of cloud computing, BDaaS enables businesses to efficiently store and process massive datasets, extract valuable insights, and make data-driven decisions. These platforms often incorporate advanced technologies such as machine learning and artificial intelligence to optimize data processing and analysis.
According to Forbes E-Commerce Statistics 2024, the overall e-commerce business is flourishing, and not only retail sales. By 2027, 22.6% of all retail sales would be directed online. Amazon, AliExpress, and eBay are the most popular e-commerce websites annually.
Increasing amount of data generation
As businesses and individuals generate unprecedented volumes of data from various sources such as social media, IoT devices, sensors, and online transactions, the demand for robust data management and analytics solutions rises exponentially. BDaaS platforms offer scalable infrastructure and advanced analytics tools to efficiently store, process, and derive insights from massive datasets. As the volume, velocity, and variety of data continue to grow, businesses require scalable and flexible solutions to harness the full potential of their data driving the growth of the market.
Data security and privacy concerns
As organizations increasingly rely on BDaaS platforms to manage and analyze large volumes of sensitive data, ensuring the security and privacy of this information becomes paramount. High-profile data breaches and privacy incidents undermine confidence in BDaaS providers, leading to hesitancy in adopting these services. Concerns about unauthorized access, data leaks, and misuse of personal information can deter organizations from leveraging BDaaS solutions, especially in regulated industries such as healthcare and finance. Moreover, stringent data protection regulations, such as the GDPR and CCPA, impose legal and compliance obligations on BDaaS providers, increasing operational costs and complexity hampering the markets growth.
Digital transformation
As businesses undergo digital transformation initiatives to modernize their operations and harness the power of data-driven insights, the demand for BDaaS solutions escalates significantly. Further digital transformation often involves migrating legacy systems and applications to the cloud. BDaaS providers offer scalable cloud-based solutions that facilitate seamless data migration, integration, and management, empowering organizations to leverage the flexibility and agility of cloud computing propelling the growth of the market.
Lack of skilled workforce
A skilled workforce is essential for maintaining robust data security in the BDaaS environment. Data security professionals are needed to implement proper access controls, monitor for potential threats, and ensure compliance with data privacy regulations. A lack of such expertise can heighten security concerns and discourage businesses from trusting BDaaS providers with their sensitive data hindering the big data as a service (BDaaS) market.
Covid-19 Impact
The remote work and digital transformation becoming imperative, businesses increasingly rely on data analytics to adapt to changing market dynamics and consumer behaviors. BDaaS platforms offer scalable and flexible data management and analytics capabilities, empowering organizations to derive insights from large datasets despite dispersed workforces. Additionally, the pandemic highlighted the importance of agility and resilience, prompting businesses to invest in cloud-based solutions like BDaaS to quickly scale their operations and respond to evolving challenges. Consequently, the pandemic has fueled growth in the BDaaS market as businesses prioritize data-driven decision-making and digital innovation.
The hadoop as a service (HaaS) segment is expected to be the largest during the forecast period
The hadoop as a service (HaaS) is expected to be the largest during the forecast period. Hadoop, an open-source framework for distributed data processing, has become a cornerstone of big data technology. HaaS offerings provide organizations with a cloud-based, managed solution for deploying and operating Hadoop clusters, eliminating the need for on-premises infrastructure and IT resources. The integration of HaaS with BDaaS platforms has enhanced the scalability, flexibility, and cost-effectiveness of big data solutions. By leveraging the power of Hadoop's distributed computing capabilities, BDaaS providers can offer more robust and efficient data processing, storage, and analytics services to their customers.
The retail & consumer goods segment is expected to have the highest CAGR during the forecast period
The retail & consumer goods segment is expected to have the highest CAGR during the forecast period as retailers and consumer goods companies have been at the forefront of leveraging big data and analytics to gain a competitive edge. These industries generate and collect vast amounts of customer data, including purchase history, browsing behavior, and demographic information. By utilizing BDaaS platforms, these organizations can effectively manage, analyze, and derive insights from this data to enhance their decision-making, optimize their operations, and deliver personalized experiences to their customers.
North America is projected to hold the largest market share during the forecast period due to the region's well-established tech ecosystem, robust infrastructure, and the widespread availability of advanced analytics tools have contributed to the rapid growth of the BDaaS market in North America. Enterprises across various industries, including healthcare, finance, and e-commerce, have increasingly embraced BDaaS to streamline their data processing and storage needs, while leveraging the scalability and cost-efficiency offered by cloud-based platforms boosting the regions market growth.
Asia Pacific is projected to hold the highest CAGR over the forecast period owing to the increasing adoption of cloud-based data management solutions and the growing demand for data-driven decision-making. BDaaS platforms provide organizations with the ability to access and leverage large, complex datasets without the need for substantial investments in infrastructure and IT resources. Furthermore, the Asia Pacific region, with its rapidly expanding digital landscape and rising emphasis on data-driven initiatives, has emerged as a key market for BDaaS.
Key players in the market
Some of the key players in Big Data as a Service (BDaaS) market include Accenture PLC, Alteryx Ltd, Amazon Web Services Inc., CenturyLink, GoodData, Google LLC, Guavus Inc., Hewlett-Packard Company, Hitachi Vantara, IBM Corporation, Information Builders Inc., Microsoft Corporation, Opera Solutions LLC, Oracle Corporation, Qubole, SAP SE, SAS Institute Inc., Snowflake Inc, Splink and Wipro Ltd
In May 2024, Accenture has completed the acquisition of Customer Management IT and SirfinPA, a pair of jointly-owned Italian consultancies that operate in close synergy and offer innovative services and technology solutions in the justice and public safety sectors.
In May 2024, Accenture has acquired Teamexpat, an embedded software specialist for complex high-tech products and systems, headquartered in Eindhoven, the Netherlands. These systems use ultraviolet light to print the fine patterns on semiconductor materials that define the performance of microchips.
In May 2024, Amazon QuickSight launches multi column sorting for Tables. They can add, remove, reorder and reset sort on a table. Readers can also perform multi column sort using hidden and off visual field as defined by the author or opt for single column sort from column header context menu as well.