市场调查报告书
商品编码
1373729
资料湖全球市场规模、份额、行业趋势分析报告:按组件、按企业规模、按部署类型、按行业、按地区、展望和预测,2023-2030 年Global Data Lake Market Size, Share & Industry Trends Analysis Report By Component (Solution, and Services), By Enterprise Size, By Deployment Type (On-premise, and Cloud), By Vertical, By Regional Outlook and Forecast, 2023 - 2030 |
资料湖市场规模预计到 2030 年将达到 513 亿美元,预测期内市场年复合成长率率为 19.8%。
根据 KBV Cardinal Matrix 发表的分析,微软是该市场的领导者。 2023 年 5 月,微软宣布推出 Microsoft Fabric,这是一个综合整合分析平台,汇集了关键资料和分析工具。该平台结合了 Azure 资料工厂来释放资料的力量,让您为人工智慧时代做好准备。 Oracle Corporation、Amazon Web Services, Inc. 和 Snowflake, Inc. 等公司是该市场的主要创新者。
市场成长要素
从大量资料中提取见解的需求日益增加
数位转型、物联网设备、社群媒体和其他资料来源正在导致组织产生比以往更多的资料。这种资料爆炸式增长对能够承受大量结构化和非结构化资料的储存资料产生了需求。资料湖可以储存许多不同类型的资料,包括文字、图像、影片、日誌檔案和感测器资料。从大量资料中提取见解的需求日益增长,促使公司投资资料湖作为资料管理和分析的基础解决方案。这些平台提供您所需的敏捷性、扩充性和弹性,以释放资料的全部潜力并在当今资料主导的世界中保持竞争力。因此,这些因素预计将推动市场扩张。
先进分析技术的快速发展
先进分析技术的快速成长是市场开拓的主要驱动力。进阶分析包括各种复杂的技术和工具,例如机器学习、人工智慧、预测分析和资料探勘,并且需要广泛且多样化的资料来得出有意义的见解。高级分析需要存取大量资料。资料湖提供了一种经济高效且扩充性的解决方案,用于储存大型资料并使其立即可用于分析。资料湖透过提供原始资料的中央储存库来促进资料准备,使资料工程师和科学家能够资料需要存取和塑造资料。随着公司越来越认识到资料主导洞察的价值,资料湖在实现高阶分析能力和推动各行业创新方面发挥关键作用。因此,技术的快速发展支持市场的扩张。
市场抑制因素
使用资料实现监管合规的复杂性
美国的健康保险互通性与课责法案 (HIPAA) 和欧洲的一般资料保护规范 (GDPR) 等监管机构提出了严格的资料安全和隐私要求。使用资料湖的组织必须实施强有力的保护措施来保护敏感资料并确保遵守这些法规。许多法规强制规定特定的资料保留和删除政策。组织必须配置其资料湖以满足这些要求,在处理庞大的资料时,这可能会很复杂。在管理资料湖中的资料时,公司不仅必须考虑法律规章遵循,还必须考虑法律和道德方面。这包括解决与资料使用相关的潜在法律责任和道德问题。监管合规挑战可能会给市场带来障碍。
组件展望
按组成部分,市场分为解决方案和服务。在2022年的市场中,服务业获得了很大的收益占有率。服务提供者提供持续的支援和维护,以确保资料湖环境的持续可靠性和可用性。这包括监控、故障排除以及应用更新和补丁。这些服务可协助您将资料从各种来源提取到资料湖中。服务提供者协助资料撷取、转换和载入 (ETL) 流程,确保资料在储存前正确格式化和清理。
公司规模展望
依公司规模,市场分为大型公司和中小型公司。在2022年的市场中,大型企业细分市场占据最高的收益占有率。资料湖具有高度扩充性,允许企业随着资料量的增长储存和管理 PB 级或更多的资料。这种扩充性可以满足大型企业不断增长的资料需求。资料湖通常使用云端储存或Hadoop分散式檔案系统(HDFS)等经济高效的储存解决方案,与传统资料仓储相比,可大幅降低储存成本。
部署类型展望
根据部署类型,市场分为本地和云端。在2022年的市场中,云端细分市场获得了可观的收益占有率。重要的资料湖遮阳伞供应商提供云端基础的解决方案,可自动化设备维护流程并增加利润。此外,由于云端资料湖的适应性、扩充性、弹性和成本效益,云端资料湖的采用预计会增加。企业青睐云端基础的解决方案,以促进区域、区域和国家资讯储存和復原策略。
产业展望
按行业划分,可分为 IT、BFSI、零售/电子商务、医疗保健、媒体/娱乐、製造等。 2022 年,零售和电子商务产业在市场中占据了重要的收益占有率。资料湖可以在零售行销中发挥重要作用,因为它们有助于对潜在客户进行快速分类。资料湖透过分析从各种来源(包括通话记录、调查和社交媒体平台)收集的资讯,可以深入了解买家、他们的动机和需求。零售公司可以分析客户的购买模式并发现经常一起购买的产品之间的连结。
区域展望
从区域来看,我们对北美、欧洲、亚太地区和拉丁美洲地区的市场进行了分析。 2022年,北美地区占据市场最大的收益占有率。北美成长速度加快的原因是巨量资料技术的使用增加、各行业资料量的增加以及公司对资料湖解决方案的投资增加。为了保持竞争力,美国开始利用资料湖解决方案从结构化和非结构化资料中资料可行的考察。资料产生量不断增加,包括点选流资料、伺服器日誌、客户资料、客户关係管理 (CRM) 和企业资源规划 (ERP),导致供应商部署多个资料湖以满足组织和客户的不同需求. 宣布服务和产品。
资料湖市场近期开拓的策略
伙伴关係、合作和合约
产品公告与产品增强功能:
收购和合併
The Global Data Lake Market size is expected to reach $51.3 billion by 2030, rising at a market growth of 19.8% CAGR during the forecast period.
Cloud-based data lakes integrate seamlessly with various data sources and cloud services, facilitating data ingestion, transformation, and integration. Consequently, the Cloud segment would capture around 45% share of the market by 2030. Cloud data lakes offer robust security features, encryption, access control, and compliance with industry-specific regulations, easing organizations' data governance and compliance efforts. Cloud-based data lakes are well-suited for running advanced analytics workloads, including machine learning and AI. Organizations can leverage cloud-based analytics services and tools to gain deeper insights from their data.
The major strategies followed by the market participants are Product Launches as the key developmental strategy to keep pace with the changing demands of end users. For instance, In July, 2023, Oracle Corporation unveiled MySQL HeatWave Lakehouse, allowing customers to query object storage data as quickly as database data. Additionally, In September, 2023, Dremio Corporation announced the next-generation Reflections for sub-second analytics, spanning the entire data ecosystem, regardless of data location. The new product redefines data access, enabling swift insights at 1/3 the cost of a cloud data warehouse.
Based on the Analysis presented in the KBV Cardinal matrix; Microsoft Corporation is the forerunners in the Market. In May, 2023, Microsoft Corporation unveiled Microsoft Fabric, a comprehensive unified analytics platform that consolidates essential data and analytics tools. The platform combines Azure Data Factory, to unleash the power of their data and prepare for the AI era. Companies such as Oracle Corporation, Amazon Web Services, Inc., Snowflake, Inc. are some of the key innovators in the Market.
Market Growth Factors
Increasing need to extract insights from vast volumes of data
Organizations are generating more data than ever, owing to digital transformation, IoT devices, social media, and other data sources. This explosion of data has created a demand for storage solutions that can endure massive amounts of structured and unstructured data. Data lakes can store various data types, including text, images, videos, log files, and sensor data. The growing need to extract insights from large volumes of data has driven organizations to invest in data lakes as a foundational data management and analytics solution. These platforms provide the agility, scalability, and flexibility needed to unlock the full potential of data and stay competitive in today's data-driven world. Hence, these factors will aid in the expansion of the market.
Rapid growth of advanced analytics technologies
The rapid growth of advanced analytics technologies has been a significant driver of the development of the market. Advanced analytics encompasses a range of sophisticated techniques and tools, including machine learning, artificial intelligence, predictive analytics, and data mining, which require extensive and diverse datasets for meaningful insights. Advanced analytics requires access to large volumes of historical and real-time data. Data lakes provide a cost-effective and scalable solution for storing massive datasets, making them readily available for analysis. Data lakes facilitate data preparation by providing a central location for raw data, enabling data engineers and scientists to access and shape data as needed. As organizations increasingly acknowledge the value of data-driven insights, data lakes play a vital role in enabling advanced analytics capabilities and driving innovation across various industries. Thus, the rapid growth of technologies will augment the expansion of the market.
Market Restraining Factors
Regulatory compliance-related data usage complexities
Regulatory bodies, such as the Health Insurance Portability and Accountability Act (HIPAA) in the United States and the General Data Protection Regulation (GDPR) in Europe, impose stringent data security and privacy requirements. Organizations using data lakes must implement strong safety measures to protect sensitive data and secure compliance with these regulations. Many regulations mandate specific data retention and deletion policies. Organizations must configure data lakes to adhere to these requirements, which can be complex when dealing with vast datasets. Beyond regulatory compliance, organizations must also consider legal and ethical aspects when managing data within data lakes. This includes addressing potential legal liabilities and ethical concerns associated with data use. The regulatory compliance challenges can pose obstacles for the market.
Component Outlook
On the basis of component, the market is segmented into solution and services. The services segment acquired a substantial revenue share in the market in 2022. Service providers offer ongoing support and maintenance to ensure the continued dependability and availability of the data lake environment. This includes monitoring, troubleshooting, and applying updates and patches. These services assist in ingesting data from various sources into the data lake. Service providers can help with data extraction, transformation, and loading (ETL) processes, ensuring that data is appropriately formatted and cleansed before storage.
Enterprise Size Outlook
By enterprise size, the market is bifurcated into large enterprises and small & medium enterprises. The large enterprises segment acquired the highest revenue share in the market in 2022. Data lakes are highly scalable, allowing organizations to store and manage petabytes of data or more as their data volume grows. This scalability accommodates the increasing data needs of large enterprises. Data lakes often use cost-effective storage solutions, such as cloud storage or Hadoop Distributed File System (HDFS), which can significantly reduce storage costs compared to traditional data warehousing.
Deployment Type Outlook
Based on deployment type, the market is fragmented into on-premise and cloud. The cloud segment garnered a significant revenue share in the market in 2022. Significant data lake parasol vendors provide cloud-based solutions that automate equipment maintenance processes and increase profits. In addition, the adoption of cloud data lakes is anticipated to increase due to their adaptability, scalability, flexibility, and cost-effectiveness. Companies favor cloud-based solutions, which facilitate cross-regional, cross-regional, and cross-national information storage and recovery strategies.
Vertical Outlook
By vertical, the market is classified into IT, BFSI, retail & Ecommerce, healthcare, media & entertainment, manufacturing, and others. The retail and Ecommerce segment recorded a remarkable revenue share in the market in 2022. Data lakes could play a crucial role in retail marketing, as they would facilitate rapid classification of potential customers. Data lakes would provide an in-depth understanding of buyers, their purchasing motivations, and their requirements by analyzing information gathered from various sources, such as call logs, surveys, and social media platforms. Retailers can analyze customer purchase patterns and discover associations between products frequently purchased together.
Regional Outlook
Region-wise, the market is analysed across North America, Europe, Asia Pacific, and LAMEA. In 2022, the North America region witnessed the largest revenue share in the market. The rapid pace of growth in North America can be attributed to the increasing use of big data technology, the rising volume of data across industry verticals, and the rising investment in data lake solutions by businesses. In the United States, associations have begun utilizing data lake solutions to generate actionable insights from structured and unstructured data to remain competitive. Growing the generation of data, such as clickstream data, server logs, customer data, customer relationship management (CRM), and Enterprise Resource Planning (ERP), causes vendors to launch multiple data lake services and products to cater to various demands of the organizations and their customers.
The market research report covers the analysis of key stake holders of the market. Key companies profiled in the report include Amazon Web Services, Inc., Cloudera, Inc., Dremio Corporation, Informatica Inc., Microsoft Corporation, Oracle Corporation, SAS Institute Inc., Snowflake Inc., Teradata Corporation and Zaloni, Inc.
Recent Strategies Developed in Data Lake Market
Partnerships, Collaborations, and Agreements:
Sep-2023: Cloudera, Inc. collaborated with Amazon Web Services, Inc., a subsidiary of Amazon that provides on-demand cloud computing platforms. This collaboration reinforces Cloudera's bond with AWS, pledging to advance cloud-native data management and analytics. It utilizes AWS services to provide ongoing innovation and cost savings for customers, supporting Cloudera's open data lakehouse on AWS for reliable enterprise generative AI.
Sep-2022: Snowflake Inc. strengthened its partnership with Endava, one of the world's leading providers of digital transformation consulting and agile software development services, to assist joint customers in their digital transformation. This collaboration aimed to enable data-driven strategies, enhance data governance and security, centralize cloud-based data, and democratize analytics across various business domains.
May-2022: Informatica Inc. partnered with Oracle, an American multinational computer technology company, to integrate Informatica's data integration and governance products, specifically the Intelligent Data Management Cloud (IDMC), with Oracle Cloud Infrastructure (OCI), including Oracle Exadata Database Service, Oracle Autonomous Database, Oracle Object Storage, and Oracle Exadata Cloud@Customer.
Apr-2022: Informatica inc. expanded its partnership with Snowflake, the Data Cloud Company. This partnership aimed to enhance integration between the Data Cloud and Informatica's Intelligent Data Management Cloud (IDMC), facilitating an expedited transition to the cloud for customers by offering extended data management and governance capabilities.
Oct-2021: Dremio Corporation partnered with InterWork, a global IT consulting & services company offering innovative and cutting-edge solutions. Under this partnership, InterWorks leveraged Dremio's capabilities for optimizing data lake investments, enhancing BI dashboards, and enabling interactive analytics, particularly with Tableau Software integration.
Product Launches and Product Expansions:
Sep-2023: Dremio Corporation announced the next-generation Reflections for sub-second analytics, spanning the entire data ecosystem, regardless of data location. The new product redefines data access, enabling swift insights at 1/3 the cost of a cloud data warehouse.
Jul-2023: Oracle Corporation unveiled MySQL HeatWave Lakehouse, allowing customers to query object storage data as quickly as database data. The lakehouse supports various object store file formats (CSV, Parquet, etc.) and can seamlessly merge object storage and MySQL database data in a single query.
Jul-2023: Teradata Corporation launched VantageCloud Lake analytics platform to Microsoft Azure, a cloud computing platform run by Microsoft. This version includes ClearScape Analytics, offering advanced analytics features, and utilizes Azure Data Lake Storage, a specialized Azure Blob Storage for enhanced capabilities.
Jun-2023: Snowflake, Inc. introduced a government and education data cloud, catering to public-sector agencies and educational institutions. This fully managed package simplifies data integration and application development, allowing organizations to harness their data for vertical-specific needs, from predictive capabilities to historical trend analysis.
May-2023: Amazon Web Services, Inc. launched Amazon Security Lake, a service that centralizes security data from various sources into a dedicated data lake. Amazon Security Lake standardizes incoming security data to the Open Cybersecurity Schema Framework (OCSF), streamlining its automatic collection, integration, and analysis from over 80 sources, encompassing AWS, security partners, and analytics providers.
May-2023: Informatica Inc. enhanced Intelligent Data Management Cloud (IDMC) with expanded data engineering services, including replication, ingestion, ELT, and data quality observability. These improvements offering advanced intelligence, automation, and a wider range of cloud data management services.
May-2023: Microsoft Corporation unveiled Microsoft Fabric, a comprehensive unified analytics platform that consolidates essential data and analytics tools. The platform combines Azure Data Factory, Azure Synapse Analytics, and Power BI into a single product, enabling data and business professionals to unleash the power of their data and prepare for the AI era.
May-2023: Oracle Corporation unveiled new innovations to its Autonomous Data Warehouse, the first autonomous database for analytics workloads. These innovations promote multicloud compatibility, open standard-based data sharing, and simplified data integration and analysis through a low-code tool, departing from the closed nature of traditional data warehouses and lakes.
Mar-2023: Amazon Web Services, Inc. added new features to Amazon S3, a service offered by Amazon Web Services that provides object storage through a web service interface. The new features allow third-party data sales without duplicating data to another S3 bucket and introduce Mountpoint for Amazon S3, an open-source file client. This accelerates and reduces the cost of building data lakes for customers.
Aug-2022: Cloudera, Inc. introduced CDP One, a single software-as-a-service (SaaS) solution for data lakehouses, facilitating self-service analytics and data science on diverse data types. CDP One boasted built-in enterprise security and machine learning, reducing costs and risk without needing extra staff. It enhanced productivity for data experts and developers, enabling quicker business insights and fostering innovation.
Aug-2022: Teradata Corporation unveiled VantageCloud Lake, a cloud-native product built on a new architecture. It combines Teradata Vantage's capabilities with cloud elasticity, cost-efficiency, and scalability, named VantageCloud Enterprise, designed for ease of use and flexibility.
Mar-2022: Snowflake, Inc. introduced the Data Cloud for Retail, following the recent launch of the Healthcare and Life Sciences Data Cloud. The cloud provides a dedicated platform to tackle data challenges in the retail industry for stakeholders like retailers, manufacturers, distributors, and CPG vendors.
Jul-2021: Dremio Corporation unveiled Dremio Cloud, a cloud service that streamlines data lake creation and management, allowing for in-memory SQL queries on object-based storage, eliminating the necessity for internal IT teams to handle these tasks.
Dec-2020: Amazon Web Services Inc. introduced Amazon HealthLake, a HIPAA-eligible healthcare data lake service that centralizes and normalizes data from various sources using machine learning, tagging critical information and creating a standardized timeline.
Acquisition and Mergers:
Jun-2020: Microsoft Corporation acquired ADRM Software, a supplier of extensive industry data models. With combined ADRM and Azure's expansive storage and computing capabilities, customers and channel partners can now establish intelligent data lakes in the cloud.
Market Segments covered in the Report:
By Component
By Enterprise Size
By Deployment Type
By Vertical
By Geography
Companies Profiled
Unique Offerings from KBV Research