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市场调查报告书
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1438179

2030 年资料湖市场预测：按组件、业务功能、部署模式、组织规模、最终用户和区域进行的全球分析

Data Lake Market Forecasts to 2030 - Global Analysis By Component (Services and Solutions), Business Function, Deployment Mode, Organization Size, End User and By Geography
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 200+ Pages | 商品交期: 2-3个工作天内

价格

根据 Stratistics MRC 的数据，2023 年全球资料湖市场规模将达到 78 亿美元，预计到 2030 年将达到 399 亿美元，预测期内复合年增长率为 27.3%。

资料湖是一个集中式储存库，可以大规模储存大量结构化、半结构化和非结构化资料。与需要结构化资料的传统资料库和资料仓储不同，资料湖可以以原始形式储存原始资料，直到需要分析或处理为止。您可以储存各种资料类型，包括日誌、感测器资料、影像和影片，而无需预先强制实施架构。

据印度储备银行称，2023 财年，印度储备银行 (RBI) 报告全印度发生了 13,000 多起银行诈骗案件。这比上年度有所增加，扭转了过去10年的趋势。

对有效安全措施的需求日益增长

市场需要强而有力的安全措施来保护大量不同资料的储存库。随着机密资讯的涌入，加密、存取控制和异常检测变得至关重要。先进的身份验证通讯协定和人工智慧监控可防止资讯外洩并确保遵守严格的法规。随着威胁的发展，自适应安全策略对于加强这些庞大资料生态系统的完整性以及在处理敏感资讯时灌输信任和信心至关重要。

复杂性和整合性

市场不断发展，强调复杂性和整合性。随着组织利用大量资料，解决方案旨在跨不同来源和格式进行无缝整合。这需要管理复杂的资料结构，同时确保不同工具和平台之间的互通性。重点在于提供全面的解决方案，简化复杂性，实现跨庞大资料湖环境的高效资料处理、分析和洞察。

扩大先进技术的采用

最尖端科技的采用正在迅速增加，市场正在快速成长。人工智慧主导的分析、云端整合和可扩展的储存解决方案正在重新定义资料管理。企业正在利用这些创新来简化资料处理、增强决策并释放有价值的见解。市场成长取决于无缝整合不同资料来源以及在处理大量资料集时提供无与伦比的敏捷性和效率的能力。

缺乏技术专长

由于缺乏技术专长，市场面临挑战。建置和维护这些庞大的储存库需要资料架构、整合和管理方面的专业技能。缺乏处理不同资料格式、确保安全性和实施有效管治的专家正在阻碍资料湖解决方案的最佳使用和成长。如果组织要充分利用资料湖的潜力并获得有价值的见解，那么弥合这种专业知识差距至关重要。

COVID-19 的影响

COVID-19 的爆发加速了对资料湖的需求，因为组织寻求强大的资料储存和分析解决方案来适应日益增加的远端工作和数位业务。由于线上活动带来的资料量不断增加以及对敏捷决策的即时洞察的需求，市场出现了成长。这种激增凸显了可扩展的云端基础的资料湖对于有效管理不同资料来源的重要性，并刺激了该领域的创新和投资。

预计人力资源部门在预测期内将是最大的

预计人力资源部门在预测期内将是最大的。该市场的人力资源部门专注于利用广泛的资料储存库来优化人才招募、劳动力管理和员工敬业度。采用先进的分析、人工智慧主导的见解和预测模型来简化招募、个人化员工体验并加强留任策略。 资料 Lake HR 利用多样化的资料来源来做出明智的决策，确保合适的人才与合适的机会相匹配，并推动组织发展和效率。

预计教育产业在预测期内的复合年增长率最高

预计教育产业在预测期内复合年增长率最高。由于需要对教育资料进行全面储存和分析，教育市场正在迅速扩大。该技术可以简化资料管理，使教育工作者能够获得个人化学习、学术研究和行政决策的宝贵见解，从而促进教育环境的创新和效率。

比最大的地区

预计北美在预测期内将占据最大的市场占有率。由于注重利用大量不同的资料，企业越来越多地采用资料湖平台。主要企业竞相提供多功能架构和高阶分析工具，以满足不断变化的业务需求。在技​​术进步和对全面资料管理解决方案的需求的推动下，该地区预计将出现强劲增长。

复合年增长率最高的地区

预计亚太地区在预测期内复合年增长率最高。随着对资料主导决策的日益关注，亚太地区的企业越来越多地投资于扩充性且弹性的资料储存解决方案。主要企业利用云端基础的储存和分析来获取见解并提供全面的平台来满足多样化的需求。市场正在呈现持续成长，企业正在优先考虑高效的资料管理，以在动态形势中保持竞争力。

免费客製化服务

订阅此报告的客户可以存取以下免费自订选项之一：

  • 公司简介
    • 其他市场参与者的综合分析（最多 3 家公司）
    • 主要企业SWOT分析（最多3家企业）
  • 区域分割
    • 根据客户兴趣对主要国家的市场估计、预测和复合年增长率（註：基于可行性检查）
  • 竞争基准化分析
    • 根据产品系列、地理分布和策略联盟对主要企业基准化分析

目录

第一章执行摘要

第二章 前言

  • 概述
  • 相关利益者
  • 调查范围
  • 调查方法
    • 资料探勘
    • 资料分析
    • 资料检验
    • 研究途径
  • 调查来源
    • 主要调查来源
    • 二次调查来源
    • 先决条件

第三章市场趋势分析

  • 促进因素
  • 抑制因素
  • 机会
  • 威胁
  • 最终用户分析
  • 新兴市场
  • COVID-19 的影响

第4章波特五力分析

  • 供应商的议价能力
  • 买方议价能力
  • 替代品的威胁
  • 新进入者的威胁
  • 竞争对手之间存在敌对关係

第五章全球资料湖市场：按组成部分

  • 服务
    • 专业服务
    • 咨询
    • 管理服务
    • 支援与维护
    • 系统整合与部署
  • 解决方案
    • 资料发现
    • 资料整合与管理
    • 资料湖分析
    • 资料视觉化

第六章全球资料湖市场：依业务功能划分

  • 人力资源
  • 行销
  • 销售
  • 金融
  • 手术

第七章全球资料湖市场：依部署模式

  • 云
  • 本地

第八章全球资料湖市场：依组织规模

  • 中小企业
  • 大公司

第 9 章 全球资料湖市场：依最终用户分类

  • 运输和物流
  • 教育
  • 银行、金融服务和保险
  • 通讯和资讯技术
  • 零售与电子商务
  • 医疗保健和生命科学
  • 製造业
  • 能源和公共
  • 媒体和娱乐
  • 政府
  • 旅行和招待
  • 其他最终用户

第10章全球资料湖市场：按地区

  • 北美洲
    • 美国
    • 加拿大
    • 墨西哥
  • 欧洲
    • 德国
    • 英国
    • 义大利
    • 法国
    • 西班牙
    • 其他欧洲国家
  • 亚太地区
    • 日本
    • 中国
    • 印度
    • 澳洲
    • 纽西兰
    • 韩国
    • 其他亚太地区
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 南美洲其他地区
  • 中东和非洲
    • 沙乌地阿拉伯
    • 阿拉伯聯合大公国
    • 卡达
    • 南非
    • 其他中东和非洲

第十一章 主要进展

  • 合约、伙伴关係、协作和合资企业
  • 收购和合併
  • 新产品发布
  • 业务扩展
  • 其他关键策略

第十二章 公司简介

  • Atos SE
  • Google LLC
  • IBM Corporation
  • Microsoft Corporation
  • Oracle Corporation
  • SAS Institute Inc.
  • Amazon Web Services Inc
  • Snowflake Inc.
  • Cloudera Inc.
  • Teradata Corporation
  • BigStep
  • Koverse, Inc.
  • Dremio
  • Temenos Headquarters SA
  • Atos SE
  • Cazena, Inc.
  • Oracle
Product Code: SMRC25148

According to Stratistics MRC, the Global Data Lake Market is accounted for $7.8 billion in 2023 and is expected to reach $39.9 billion by 2030 growing at a CAGR of 27.3% during the forecast period. A data lake is a centralized repository that allows you to store vast amounts of structured, semi-structured, and unstructured data at scale. Unlike traditional databases or data warehouses that require structured data, a data lake can hold raw data in its native format until it's needed for analysis or processing. It allows for the storage of diverse data types-such as logs, sensor data, images, videos, and more-without enforcing a schema upfront.

According to the Reserve Bank of India, In the financial year 2023, the Reserve Bank of India (RBI) reported more than 13 thousand bank fraud cases across India. This was an increase compared to the previous year and turned around the last decade's trend.

Market Dynamics:

Driver:

Growing need for efficient security measures

The market demands robust security measures to safeguard vast repositories of diverse data. With an influx of sensitive information, encryption, access controls, and anomaly detection become imperative. Advanced authentication protocols and AI-driven monitoring fortify against breaches and ensure compliance with stringent regulations. As threats evolve, adaptive security strategies are pivotal to fortify the integrity of these expansive data ecosystems, instilling trust and reliability in handling sensitive information.

Restraint:

Complexity and Integration

The market is evolving, emphasizing both complexity and integration. As organizations harness vast data volumes, solutions aim for seamless integration across diverse sources and formats. This entails managing intricate data structures while ensuring interoperability among various tools and platforms. The focus lies in offering comprehensive solutions that simplify complexities, enabling efficient data processing, analysis, and insights across the expansive data lake landscape.

Opportunity:

Mounting adoption of advanced technologies

The market experiences rapid growth due to soaring adoption of cutting-edge technologies. AI-driven analytics, cloud integration, and scalable storage solutions redefine data management. Organizations leverage these innovations to streamline data processing, enhance decision-making, and extract valuable insights. The market's expansion hinges on the seamless integration of diverse data sources, offering unparalleled agility and efficiency in handling vast datasets.

Threat:

Lack of technical expertise

The market faces challenges due to a shortage of technical expertise. Building and maintaining these expansive repositories demands specialized skills in data architecture, integration, and management. The scarcity of professionals proficient in handling diverse data formats, ensuring security, and implementing effective governance hampers the optimal utilization and growth of data lake solutions. Bridging this expertise gap is crucial for organizations to fully harness the potential of data lakes and derive valuable insights.

Covid-19 Impact:

The COVID-19 pandemic accelerated the demand for Data Lakes as organizations sought robust data storage and analytics solutions to handle increased remote work and digital operations. The market witnessed growth due to rising data volumes from online activities and the need for real-time insights for agile decision-making. This surge emphasized the importance of scalable, cloud-based data lakes to manage diverse data sources efficiently, driving innovation and investments in the sector.

The human resources segment is expected to be the largest during the forecast period

The human resources segment is expected to be the largest during the forecast period. The human resources sector within the market focuses on leveraging extensive data repositories to optimize talent acquisition, workforce management, and employee engagement. It employs advanced analytics, AI-driven insights, and predictive models to streamline recruitment, personalize employee experiences, and enhance retention strategies. HR in Data Lakes harnesses diverse data sources to enable informed decision-making, ensuring the right talent is matched with the right opportunities, fostering organizational growth and efficiency.

The education segment is expected to have the highest CAGR during the forecast period

The education segment is expected to have the highest CAGR during the forecast period. The market in education is rapidly expanding, driven by the need for comprehensive storage and analysis of educational data. This technology enables streamlined data management, empowering educators to derive valuable insights for personalized learning, academic research, and administrative decision-making, fostering innovation and efficiency within the educational landscape.

Region with largest share:

North America is projected to hold the largest market share during the forecast period. With a focus on harnessing vast amounts of diverse data, enterprises are increasingly adopting Data Lake platforms. Key players vie for prominence, offering versatile architectures and advanced analytics tools to cater to evolving business needs. The region showcases robust growth prospects, fueled by technological advancements and the imperative need for comprehensive data management solutions.

Region with highest CAGR:

Asia Pacific is projected to hold the highest CAGR over the forecast period. With a growing emphasis on data-driven decision-making, businesses in APAC are increasingly investing in scalable and flexible data storage solutions. Key players offer comprehensive platforms catering to diverse needs, leveraging cloud-based storage and analytics to unlock insights. The market's trajectory signals sustained growth, with organizations prioritizing efficient data management to stay competitive in the dynamic landscape.

Key players in the market

Some of the key players in Data Lake market include Atos SE, Google LLC, IBM Corporation, Microsoft Corporation, Oracle Corporation, SAS Institute Inc., Amazon Web Services Inc, Snowflake Inc., Cloudera Inc., Teradata Corporation, BigStep , Koverse, Inc., Dremio, Temenos Headquarters SA, Atos SE, Cazena, Inc. and Oracle.

Key Developments:

In December 202, Atos announced the development of a new solution in collaboration with AWS that allows clients to expedite and properly monitor company key performance indicators (KPIs) by offering simple access to non-SAP and SAP data silos.

In November 2022, Amazon Web Services (AWS) announced the launch of Amazon Security Lake. This new cybersecurity solution automatically centralizes safety data from on-premises and cloud sources into a purpose-built data lake in a user's AWS account.

Components Covered:

  • Services
  • Solutions

Business Functions Covered:

  • Human Resources
  • Marketing
  • Sales
  • Finance
  • Operations

Deployment Modes Covered:

  • Cloud
  • On-Premises

Organization Sizes Covered:

  • Small and Medium-Sized Enterprises
  • Large Enterprises

End Users Covered:

  • Transportation and Logistics
  • Education
  • Banking, Financial Services and Insurance
  • Telecommunication and Information Technology
  • Retail and E-Commerce
  • Healthcare and Life Sciences
  • Manufacturing
  • Energy and Utilities
  • Media and Entertainment
  • Government
  • Travel and Hospitality
  • Other End Users

Regions Covered:

  • North America
    • US
    • Canada
    • Mexico
  • Europe
    • Germany
    • UK
    • Italy
    • France
    • Spain
    • Rest of Europe
  • Asia Pacific
    • Japan
    • China
    • India
    • Australia
    • New Zealand
    • South Korea
    • Rest of Asia Pacific
  • South America
    • Argentina
    • Brazil
    • Chile
    • Rest of South America
  • Middle East & Africa
    • Saudi Arabia
    • UAE
    • Qatar
    • South Africa
    • Rest of Middle East & Africa

What our report offers:

  • Market share assessments for the regional and country-level segments
  • Strategic recommendations for the new entrants
  • Covers Market data for the years 2021, 2022, 2023, 2026, and 2030
  • Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
  • Strategic recommendations in key business segments based on the market estimations
  • Competitive landscaping mapping the key common trends
  • Company profiling with detailed strategies, financials, and recent developments
  • Supply chain trends mapping the latest technological advancements

Free Customization Offerings:

All the customers of this report will be entitled to receive one of the following free customization options:

  • Company Profiling
    • Comprehensive profiling of additional market players (up to 3)
    • SWOT Analysis of key players (up to 3)
  • Regional Segmentation
    • Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
  • Competitive Benchmarking
    • Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary

2 Preface

  • 2.1 Abstract
  • 2.2 Stake Holders
  • 2.3 Research Scope
  • 2.4 Research Methodology
    • 2.4.1 Data Mining
    • 2.4.2 Data Analysis
    • 2.4.3 Data Validation
    • 2.4.4 Research Approach
  • 2.5 Research Sources
    • 2.5.1 Primary Research Sources
    • 2.5.2 Secondary Research Sources
    • 2.5.3 Assumptions

3 Market Trend Analysis

  • 3.1 Introduction
  • 3.2 Drivers
  • 3.3 Restraints
  • 3.4 Opportunities
  • 3.5 Threats
  • 3.6 End User Analysis
  • 3.7 Emerging Markets
  • 3.8 Impact of Covid-19

4 Porters Five Force Analysis

  • 4.1 Bargaining power of suppliers
  • 4.2 Bargaining power of buyers
  • 4.3 Threat of substitutes
  • 4.4 Threat of new entrants
  • 4.5 Competitive rivalry

5 Global Data Lake Market, By Component

  • 5.1 Introduction
  • 5.2 Services
    • 5.2.1 Professional Services
    • 5.2.2 Consulting
    • 5.2.3 Managed Services
    • 5.2.4 Support and Maintenance
    • 5.2.5 System Integration and Deployment
  • 5.3 Solutions
    • 5.3.1 Data Discovery
    • 5.3.2 Data Integration and Management
    • 5.3.3 Data Lake Analytics
    • 5.3.4 Data Visualization

6 Global Data Lake Market, By Business Function

  • 6.1 Introduction
  • 6.2 Human Resources
  • 6.3 Marketing
  • 6.4 Sales
  • 6.5 Finance
  • 6.6 Operations

7 Global Data Lake Market, By Deployment Mode

  • 7.1 Introduction
  • 7.2 Cloud
  • 7.3 On-Premises

8 Global Data Lake Market, By Organization Size

  • 8.1 Introduction
  • 8.2 Small and Medium-Sized Enterprises
  • 8.3 Large Enterprises

9 Global Data Lake Market, By End User

  • 9.1 Introduction
  • 9.2 Transportation and Logistics
  • 9.3 Education
  • 9.4 Banking, Financial Services and Insurance
  • 9.5 Telecommunication and Information Technology
  • 9.6 Retail and E-Commerce
  • 9.7 Healthcare and Life Sciences
  • 9.8 Manufacturing
  • 9.9 Energy and Utilities
  • 9.10 Media and Entertainment
  • 9.11 Government
  • 9.12 Travel and Hospitality
  • 9.13 Other End Users

10 Global Data Lake Market, By Geography

  • 10.1 Introduction
  • 10.2 North America
    • 10.2.1 US
    • 10.2.2 Canada
    • 10.2.3 Mexico
  • 10.3 Europe
    • 10.3.1 Germany
    • 10.3.2 UK
    • 10.3.3 Italy
    • 10.3.4 France
    • 10.3.5 Spain
    • 10.3.6 Rest of Europe
  • 10.4 Asia Pacific
    • 10.4.1 Japan
    • 10.4.2 China
    • 10.4.3 India
    • 10.4.4 Australia
    • 10.4.5 New Zealand
    • 10.4.6 South Korea
    • 10.4.7 Rest of Asia Pacific
  • 10.5 South America
    • 10.5.1 Argentina
    • 10.5.2 Brazil
    • 10.5.3 Chile
    • 10.5.4 Rest of South America
  • 10.6 Middle East & Africa
    • 10.6.1 Saudi Arabia
    • 10.6.2 UAE
    • 10.6.3 Qatar
    • 10.6.4 South Africa
    • 10.6.5 Rest of Middle East & Africa

11 Key Developments

  • 11.1 Agreements, Partnerships, Collaborations and Joint Ventures
  • 11.2 Acquisitions & Mergers
  • 11.3 New Product Launch
  • 11.4 Expansions
  • 11.5 Other Key Strategies

12 Company Profiling

  • 12.1 Atos SE
  • 12.2 Google LLC
  • 12.3 IBM Corporation
  • 12.4 Microsoft Corporation
  • 12.5 Oracle Corporation
  • 12.6 SAS Institute Inc.
  • 12.7 Amazon Web Services Inc
  • 12.8 Snowflake Inc.
  • 12.9 Cloudera Inc.
  • 12.10 Teradata Corporation
  • 12.11 BigStep
  • 12.12 Koverse, Inc.
  • 12.13 Dremio
  • 12.14 Temenos Headquarters SA
  • 12.15 Atos SE
  • 12.16 Cazena, Inc.
  • 12.17 Oracle

List of Tables

  • Table 1 Global Data Lake Market Outlook, By Region (2021-2030) ($MN)
  • Table 2 Global Data Lake Market Outlook, By Component (2021-2030) ($MN)
  • Table 3 Global Data Lake Market Outlook, By Services (2021-2030) ($MN)
  • Table 4 Global Data Lake Market Outlook, By Professional Services (2021-2030) ($MN)
  • Table 5 Global Data Lake Market Outlook, By Consulting (2021-2030) ($MN)
  • Table 6 Global Data Lake Market Outlook, By Managed Services (2021-2030) ($MN)
  • Table 7 Global Data Lake Market Outlook, By Support and Maintenance (2021-2030) ($MN)
  • Table 8 Global Data Lake Market Outlook, By System Integration and Deployment (2021-2030) ($MN)
  • Table 9 Global Data Lake Market Outlook, By Solutions (2021-2030) ($MN)
  • Table 10 Global Data Lake Market Outlook, By Data Discovery (2021-2030) ($MN)
  • Table 11 Global Data Lake Market Outlook, By Data Integration and Management (2021-2030) ($MN)
  • Table 12 Global Data Lake Market Outlook, By Data Lake Analytics (2021-2030) ($MN)
  • Table 13 Global Data Lake Market Outlook, By Data Visualization (2021-2030) ($MN)
  • Table 14 Global Data Lake Market Outlook, By Business Function (2021-2030) ($MN)
  • Table 15 Global Data Lake Market Outlook, By Human Resources (2021-2030) ($MN)
  • Table 16 Global Data Lake Market Outlook, By Marketing (2021-2030) ($MN)
  • Table 17 Global Data Lake Market Outlook, By Sales (2021-2030) ($MN)
  • Table 18 Global Data Lake Market Outlook, By Finance (2021-2030) ($MN)
  • Table 19 Global Data Lake Market Outlook, By Operations (2021-2030) ($MN)
  • Table 20 Global Data Lake Market Outlook, By Deployment Mode (2021-2030) ($MN)
  • Table 21 Global Data Lake Market Outlook, By Cloud (2021-2030) ($MN)
  • Table 22 Global Data Lake Market Outlook, By On-Premises (2021-2030) ($MN)
  • Table 23 Global Data Lake Market Outlook, By Organization Size (2021-2030) ($MN)
  • Table 24 Global Data Lake Market Outlook, By Small and Medium-Sized Enterprises (2021-2030) ($MN)
  • Table 25 Global Data Lake Market Outlook, By Large Enterprises (2021-2030) ($MN)
  • Table 26 Global Data Lake Market Outlook, By End User (2021-2030) ($MN)
  • Table 27 Global Data Lake Market Outlook, By Transportation and Logistics (2021-2030) ($MN)
  • Table 28 Global Data Lake Market Outlook, By Education (2021-2030) ($MN)
  • Table 29 Global Data Lake Market Outlook, By Banking, Financial Services and Insurance (2021-2030) ($MN)
  • Table 30 Global Data Lake Market Outlook, By Telecommunication and Information Technology (2021-2030) ($MN)
  • Table 31 Global Data Lake Market Outlook, By Retail and E-Commerce (2021-2030) ($MN)
  • Table 32 Global Data Lake Market Outlook, By Healthcare and Life Sciences (2021-2030) ($MN)
  • Table 33 Global Data Lake Market Outlook, By Manufacturing (2021-2030) ($MN)
  • Table 34 Global Data Lake Market Outlook, By Energy and Utilities (2021-2030) ($MN)
  • Table 35 Global Data Lake Market Outlook, By Media and Entertainment (2021-2030) ($MN)
  • Table 36 Global Data Lake Market Outlook, By Government (2021-2030) ($MN)
  • Table 37 Global Data Lake Market Outlook, By Travel and Hospitality (2021-2030) ($MN)
  • Table 38 Global Data Lake Market Outlook, By Other End Users (2021-2030) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.