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市场调查报告书
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1560953

2024-2032 年按组件、部署模式、组织规模、业务功能、最终用途产业和地区分類的资料湖市场报告

Data Lakes Market Report by Component, Deployment Mode, Organization Size, Business Function, End Use Industry, and Region 2024-2032
出版日期: | 出版商: IMARC | 英文 148 Pages | 商品交期: 2-3个工作天内

价格

2023 年，全球资料湖IMARC Group规模达到 120 亿美元。涉及大量数位资料管理的企业数量不断增加正在提振市场。

资料湖市场分析：

  • 主要市场驱动因素：主动维护设备和做出明智决策的需求不断增长是支撑市场的主要趋势之一。
  • 主要市场趋势：在医疗保健行业设计产品和进行基因组研究的广泛应用是对市场产生积极影响的主要趋势之一。
  • 竞争格局：全球市场的一些知名参与者包括亚马逊网路服务公司（Amazon.com Inc）、Atos SE、凯捷、Cloudera Inc.、戴尔科技公司、Google有限责任公司（Alphabet Inc.）、惠普企业Development LP、国际商业机器公司、微软公司、甲骨文公司、SAP SE、SAS Institute Inc.、Snowflake Inc.、Tata Consultancy Services Limited 和Teradata Corporation 等。
  • 地理趋势：客户关係管理 (CRM) 平台与社群媒体分析的广泛整合正在推动北美市场的发展。除此之外，主要参与者对降低营运成本的日益关注也提振了亚太地区的市场。另一方面，在预测期内，对研发活动的广泛投资将继续推动欧洲市场。
  • 挑战与机会：阻碍​​市场的限制之一是缺乏适当的治理。然而，强大的资料管理实践的实施预计将在未来几年促进市场发展。

数据湖市场趋势：

人工智慧的不断融合

支撑市场的关键因素之一是人工智慧和机器学习的日益融合，它可以从资料中提取更深入的见解和预测分析。此外，人工智慧驱动的资料湖可以自动进行资料分类、异常检测和模式识别。 Databricks 和 IBM 等公司透过提供与其资料湖解决方案整合的 AI 和 ML 功能来引领这一趋势。例如，2024 年 6 月，帮助企业建立资料管道的 Fivetran 宣布推出其最新产品 Fivetran 託管资料湖服务，旨在透过自动化和简化来消除管理资料湖的重复工作。

越来越重视资料治理

对资料治理和安全性的日益关注正在提振市场。由于组织储存大量敏感资料，因此确保其机密性、完整性和遵守法规要求变得至关重要。有效的资料治理框架有助于管理元资料、资料品质和沿袭，从而提供资料资产的透明度和控制。例如，2024 年 7 月，弗林德斯大学的研究团队在澳洲推出了一个整合的、人工智慧驱动的公共卫生和临床资料储存库，用于公共卫生监测和紧急应变。

不断发展的多云策略

多云策略通常涉及使用多个云端供应商来避免供应商锁定并增强冗余。这种方法还使组织能够根据特定需求灵活地分配工作负载，并利用众多供应商的最佳服务。例如，一家公司可能会使用 Google Cloud 来实现其先进的 AI 功能，同时依赖 AWS 来实现其广泛的资料分析工俱生态系统。此外，Snowflake 和 Cloudera 等供应商正在透过提供与多个云端和本地基础设施无缝整合的平台来促进这些策略。

目录

第一章：前言

第 2 章：范围与方法

  • 研究目的
  • 利害关係人
  • 数据来源
    • 主要来源
    • 二手资料
  • 市场预测
    • 自下而上的方法
    • 自上而下的方法
  • 预测方法

第 3 章：执行摘要

第 4 章：简介

  • 概述
  • 主要行业趋势

第 5 章：全球资料湖市场

  • 市场概况
  • 市场表现
  • COVID-19 的影响
  • 市场预测

第 6 章：市场区隔：按组成部分

  • 解决方案
    • 市场趋势
    • 关键环节
      • 数据发现
      • 数据整合与管理
      • 资料湖分析
      • 数据视觉化
    • 市场预测
  • 服务
    • 市场趋势
    • 关键环节
      • 託管服务
      • 专业服务
    • 市场预测

第 7 章：市场区隔：依部署模式

  • 本地
    • 市场趋势
    • 市场预测
  • 基于云端
    • 市场趋势
    • 市场预测

第 8 章：市场区隔：依组织规模

  • 中小企业
    • 市场趋势
    • 市场预测
  • 大型企业
    • 市场趋势
    • 市场预测

第 9 章：市场区隔：依业务功能

  • 行销
    • 市场趋势
    • 市场预测
  • 销售量
    • 市场趋势
    • 市场预测
  • 营运
    • 市场趋势
    • 市场预测
  • 金融
    • 市场趋势
    • 市场预测
  • 人力资源
    • 市场趋势
    • 市场预测

第 10 章：市场区隔：依最终用途产业

  • BFSI
    • 市场趋势
    • 市场预测
  • 资讯科技和电信
    • 市场趋势
    • 市场预测
  • 零售与电子商务
    • 市场趋势
    • 市场预测
  • 医疗保健和生命科学
    • 市场趋势
    • 市场预测
  • 製造业
    • 市场趋势
    • 市场预测
  • 能源和公用事业
    • 市场趋势
    • 市场预测
  • 媒体和娱乐
    • 市场趋势
    • 市场预测
  • 政府
    • 市场趋势
    • 市场预测
  • 其他的
    • 市场趋势
    • 市场预测

第 11 章：市场区隔：按地区

  • 北美洲
    • 美国
    • 加拿大
  • 亚太
    • 中国
    • 日本
    • 印度
    • 韩国
    • 澳洲
    • 印尼
    • 其他的
  • 欧洲
    • 德国
    • 法国
    • 英国
    • 义大利
    • 西班牙
    • 俄罗斯
    • 其他的
  • 拉丁美洲
    • 巴西
    • 墨西哥
    • 其他的
  • 中东和非洲
    • 市场趋势
    • 市场细分：按国家/地区
    • 市场预测

第 12 章：SWOT 分析

  • 概述
  • 优势
  • 弱点
  • 机会
  • 威胁

第 13 章：价值链分析

第 14 章：波特五力分析

  • 概述
  • 买家的议价能力
  • 供应商的议价能力
  • 竞争程度
  • 新进入者的威胁
  • 替代品的威胁

第 15 章：价格分析

第16章：竞争格局

  • 市场结构
  • 关键参与者
  • 关键参与者简介
    • Amazon Web Services Inc. (Amazon.com Inc)
    • Atos SE
    • Capgemini
    • Cloudera Inc.
    • Dell Technologies Inc.
    • Google LLC (Alphabet Inc.)
    • Hewlett Packard Enterprise Development LP
    • International Business Machines Corporation
    • Microsoft Corporation
    • Oracle Corporation
    • SAP SE
    • SAS Institute Inc.
    • Snowflake Inc.
    • Tata Consultancy Services Limited
    • Teradata Corporation
Product Code: SR112024A4564

The global data lakes market size reached US$ 12.0 Billion in 2023. Looking forward, IMARC Group expects the market to reach US$ 78.8 Billion by 2032, exhibiting a growth rate (CAGR) of 22.6% during 2024-2032. The rising number of businesses concerning the management of large amounts of digital data is bolstering the market.

Data Lakes Market Analysis:

  • Major Market Drivers: The inflating need for proactively maintaining devices and making informed decisions is one of the key trends bolstering the market.
  • Key Market Trends: Extensive applications in the healthcare industry to design products and perform genomic research are among the primary trends positively influencing the market.
  • Competitive Landscape: Some of the prominent players in the global market include Amazon Web Services Inc. (Amazon.com Inc), Atos SE, Capgemini, Cloudera Inc., Dell Technologies Inc., Google LLC (Alphabet Inc.), Hewlett Packard Enterprise Development LP, International Business Machines Corporation, Microsoft Corporation, Oracle Corporation, SAP SE, SAS Institute Inc., Snowflake Inc., Tata Consultancy Services Limited, and Teradata Corporation, among many others.
  • Geographical Trends: The widespread integration of customer relationship management (CRM) platforms with social media analytics is propelling the market in North America. Besides this, the rising focus of key players on reducing operational costs is also bolstering the market in Asia Pacific. On the other hand, extensive investments in R&D activities will continue to catalyze the market in Europe over the forecasted period.
  • Challenges and Opportunities: One of the limitations hindering the market is the lack of proper governance. However, the implementation of robust data management practices is expected to catalyze the market in the coming years.

Data Lakes Market Trends:

Rising Integration of AI

One of the key factors bolstering the market is the growing integration of AI and ML, which can extract deeper insights and predictive analytics from data. Moreover, AI-powered data lakes can automate data classification, anomaly detection, and pattern recognition. Companies like Databricks and IBM are leading this trend by offering AI and ML capabilities integrated with their data lake solutions. For instance, in June 2024, Fivetran, a company that helps enterprises build their data pipelines, announced the general availability of its newest product, the Fivetran Managed Data Lake Service, which aims to remove the repetitive work of managing data lakes by automating and streamlining it for clients.

Increasing Emphasis on Data Governance

The growing focus on data governance and security is bolstering the market. As organizations store vast amounts of sensitive data, thereby ensuring its confidentiality, integrity, and compliance with regulatory requirements becomes paramount. Effective data governance frameworks help manage metadata, data quality, and lineage, thereby providing transparency and control over data assets. For instance, in July 2024, a research team at Flinders University introduced an integrated and AI-driven public health and clinical data repository in Australia for public health surveillance and emergency response.

Growing Multi-cloud Strategies

Multi-cloud strategies usually involve using multiple cloud providers to avoid vendor lock-in and enhance redundancy. This approach also provides organizations with the agility to distribute workloads based on specific needs and leverage best-of-breed services from numerous vendors. For example, a company might use Google Cloud for its advanced AI capabilities while relying on AWS for its extensive ecosystem of data analytics tools. Moreover, vendors like Snowflake and Cloudera are facilitating these strategies by offering platforms that seamlessly integrate with several cloud and on-premises infrastructures.

Global Data Lakes Industry Segmentation:

IMARC Group provides an analysis of the key trends in each segment of the market, along with the data lakes market forecast at the global, regional, and country levels for 2024-2032. Our report has categorized the market based on the component, deployment mode, organization size, business function, and end use industry.

Breakup by Component:

  • Solutions
    • Data Discovery
    • Data Integration and Management
    • Data Lake Analytics
    • Data Visualization
  • Services
    • Managed Services
    • Professional Services

The report has provided a detailed breakup and analysis of the market based on the component. This includes solutions (data discovery, data integration and management, data lake analytics, and data visualization) and services (managed services and professional services).

The solutions segment includes key areas such as data discovery, data integration and management, data lake analytics, and data visualization. Data discovery tools help organizations identify and understand their data assets, while data integration and management solutions streamline the process of consolidating disparate data sources. Data lake analytics enable the processing and analysis of large datasets to extract valuable insights, and data visualization tools facilitate the representation of data in graphical formats for better comprehension and decision-making. The services segment is divided into managed services and professional services. Managed services offer ongoing support and maintenance of data lake infrastructure, ensuring optimal performance and reliability. Professional services provide specialized expertise, including consulting, implementation, and training, to help organizations effectively deploy and utilize data lake solutions. This detailed segmentation underscores the diverse range of components driving the data lakes market and their critical roles in enabling data-driven business strategies.

Breakup by Deployment Mode:

  • On-premises
  • Cloud-based

The report has provided a detailed breakup and analysis of the market based on the deployment mode. This includes on-premises and cloud-based.

On-premises data lakes involve deploying the infrastructure within an organization's own data centers, providing complete control over data security, customization, and compliance with internal policies. Industries particularly favor this mode with stringent regulatory requirements, such as finance and healthcare. Conversely, cloud-based data lakes, hosted on platforms like Amazon Web Services (AWS), Microsoft Azure, and Google Cloud, offer scalability, flexibility, and cost-efficiency. They enable organizations to handle massive data volumes without significant upfront investment in physical infrastructure.

Breakup by Organization Size:

  • Small and Medium-sized Enterprises
  • Large Enterprises

The report has provided a detailed breakup and analysis of the market based on the organization size. This includes small and medium-sized enterprises and large enterprises.

For SMEs, data lakes offer a cost-effective solution to manage and analyze large datasets, helping these organizations gain insights without the need for extensive IT infrastructure. Solutions tailored for SMEs typically emphasize ease of use, scalability, and integration with existing systems to support their growth and innovation needs. On the other hand, large enterprises benefit from data lakes' ability to handle vast amounts of data from diverse sources, facilitating complex analytics, machine learning, and real-time data processing. These enterprises often require advanced features like robust security, compliance, and customization to meet their extensive operational demands. By segmenting the market based on organization size, the report highlights the distinct needs and advantages of data lakes for both SMEs and large enterprises, reflecting their critical role in enhancing data-driven decision-making across different business scales.

Breakup by Business Function:

  • Marketing
  • Sales
  • Operations
  • Finance
  • Human Resources

The report has provided a detailed breakup and analysis of the market based on the business function. This includes marketing, sales, operations, finance, and human resources.

In marketing, data lakes facilitate comprehensive customer insights, enabling targeted campaigns and personalized customer experiences through the integration of vast amounts of behavioral and demographic data. For sales, data lakes enhance performance tracking, forecasting, and customer relationship management by consolidating data from various touchpoints. In operations, data lakes improve efficiency and decision-making by providing real-time analytics and process optimization insights. The finance function benefits from data lakes by gaining accurate financial reporting, risk management, and fraud detection capabilities through the aggregation and analysis of transactional and historical data. In human resources, data lakes support talent management, employee engagement, and workforce analytics by integrating data from recruitment, performance evaluations, and employee feedback. By segmenting the market based on business function, the report underscores the versatile applications of data lakes in driving strategic decisions and operational excellence across different organizational domains.

Breakup by End Use Industry:

  • BFSI
  • IT and Telecom
  • Retail and E-Commerce
  • Healthcare and Life Sciences
  • Manufacturing
  • Energy and Utilities
  • Media and Entertainment
  • Government
  • Others

The report has provided a detailed breakup and analysis of the market based on the end use industry. This includes BFSI, IT and telecom, retail and e-commerce, healthcare and life sciences, manufacturing, energy and utilities, media and entertainment, government, and others.

In the BFSI sector, data lakes enable enhanced fraud detection, risk management, and customer analytics by consolidating vast amounts of transactional data. The IT and telecom industry leverages data lakes for network optimization, customer service improvements, and big data analytics. Retail and e-commerce businesses use data lakes to gain insights into customer behavior, inventory management, and personalized marketing. In healthcare and life sciences, data lakes support clinical data analysis, patient care optimization, and research. The manufacturing sector benefits from improved supply chain management, predictive maintenance, and quality control. Energy and utilities companies use data lakes for operational efficiency, predictive maintenance, and energy consumption analysis. Media and entertainment industries utilize data lakes for audience analytics, content personalization, and trend analysis. Government agencies adopt data lakes for improved public service delivery, policy-making, and data transparency. This is expanding the data lakes market share.

Breakup by Region:

  • North America
    • United States
    • Canada
  • Asia-Pacific
    • China
    • Japan
    • India
    • South Korea
    • Australia
    • Indonesia
    • Others
  • Europe
    • Germany
    • France
    • United Kingdom
    • Italy
    • Spain
    • Russia
    • Others
  • Latin America
    • Brazil
    • Mexico
    • Others
  • Middle East and Africa

The market research report has also provided a comprehensive analysis of all the major regional markets, which include North America (the United States and Canada); Asia Pacific (China, Japan, India, South Korea, Australia, Indonesia, and others); Europe (Germany, France, the United Kingdom, Italy, Spain, Russia, and others); Latin America (Brazil, Mexico, and others); and the Middle East and Africa.

North America, particularly the United States, leads the market due to its advanced technological infrastructure, high adoption rates of big data solutions, and the presence of major technology firms like AWS, Microsoft, and Google. The Asia Pacific region is experiencing rapid market expansion driven by increasing digital transformation initiatives, a burgeoning IT sector, and significant investments in data analytics across countries like China, India, and Japan. Europe follows closely, with a strong emphasis on data privacy and regulatory compliance, which fuels the demand for sophisticated data management solutions. In Latin America, growing awareness of the benefits of big data and rising investments in technology infrastructure are propelling market growth, particularly in countries like Brazil and Mexico. The Middle East and Africa region, although at an earlier stage of adoption, is witnessing increasing interest in data lakes due to emerging smart city projects, digital initiatives, and investments in IT infrastructure.

Competitive Landscape:

The market research report has provided a comprehensive analysis of the competitive landscape. Detailed profiles of all major market companies have also been provided. Some of the key players in the market include:

  • Amazon Web Services Inc. (Amazon.com Inc)
  • Atos SE
  • Capgemini
  • Cloudera Inc.
  • Dell Technologies Inc.
  • Google LLC (Alphabet Inc.)
  • Hewlett Packard Enterprise Development LP
  • International Business Machines Corporation
  • Microsoft Corporation
  • Oracle Corporation
  • SAP SE
  • SAS Institute Inc.
  • Snowflake Inc.
  • Tata Consultancy Services Limited
  • Teradata Corporation

(Please note that this is only a partial list of the key players, and the complete list is provided in the report.)

Data Lakes Market Recent Developments:

  • July 2024: A research team at Flinders University introduced an integrated and AI-driven public health and clinical data repository in Australia for public health surveillance and emergency response.
  • June 2024: Fivetran, a company that helps enterprises build their data pipelines, announced the general availability of its newest product, the Fivetran Managed Data Lake Service, which aims to remove the repetitive work of managing data lakes by automating and streamlining it for clients.
  • February 2024: The Huawei Product and Solution launched three innovative solutions aimed at helping carriers worldwide build leading data infrastructure.

Key Questions Answered in This Report:

  • How has the global data lakes market performed so far, and how will it perform in the coming years?
  • What has been the impact of COVID-19 on the global data lakes market?
  • What are the key regional markets?
  • What is the breakup of the market based on the component?
  • What is the breakup of the market based on the deployment mode?
  • What is the breakup of the market based on the organization size?
  • What is the breakup of the market based on the business function?
  • What is the breakup of the market based on the end use industry?
  • What are the various stages in the value chain of the industry?
  • What are the key driving factors and challenges in the industry?
  • What is the structure of the global data lakes market, and who are the key players?
  • What is the degree of competition in the industry?

Table of Contents

1 Preface

2 Scope and Methodology

  • 2.1 Objectives of the Study
  • 2.2 Stakeholders
  • 2.3 Data Sources
    • 2.3.1 Primary Sources
    • 2.3.2 Secondary Sources
  • 2.4 Market Estimation
    • 2.4.1 Bottom-Up Approach
    • 2.4.2 Top-Down Approach
  • 2.5 Forecasting Methodology

3 Executive Summary

4 Introduction

  • 4.1 Overview
  • 4.2 Key Industry Trends

5 Global Data Lakes Market

  • 5.1 Market Overview
  • 5.2 Market Performance
  • 5.3 Impact of COVID-19
  • 5.4 Market Forecast

6 Market Breakup by Component

  • 6.1 Solutions
    • 6.1.1 Market Trends
    • 6.1.2 Key Segments
      • 6.1.2.1 Data Discovery
      • 6.1.2.2 Data Integration and Management
      • 6.1.2.3 Data Lake Analytics
      • 6.1.2.4 Data Visualization
    • 6.1.3 Market Forecast
  • 6.2 Services
    • 6.2.1 Market Trends
    • 6.2.2 Key Segments
      • 6.2.2.1 Managed Services
      • 6.2.2.2 Professional Services
    • 6.2.3 Market Forecast

7 Market Breakup by Deployment Mode

  • 7.1 On-premises
    • 7.1.1 Market Trends
    • 7.1.2 Market Forecast
  • 7.2 Cloud-based
    • 7.2.1 Market Trends
    • 7.2.2 Market Forecast

8 Market Breakup by Organization Size

  • 8.1 Small and Medium-sized Enterprises
    • 8.1.1 Market Trends
    • 8.1.2 Market Forecast
  • 8.2 Large Enterprises
    • 8.2.1 Market Trends
    • 8.2.2 Market Forecast

9 Market Breakup by Business Function

  • 9.1 Marketing
    • 9.1.1 Market Trends
    • 9.1.2 Market Forecast
  • 9.2 Sales
    • 9.2.1 Market Trends
    • 9.2.2 Market Forecast
  • 9.3 Operations
    • 9.3.1 Market Trends
    • 9.3.2 Market Forecast
  • 9.4 Finance
    • 9.4.1 Market Trends
    • 9.4.2 Market Forecast
  • 9.5 Human Resources
    • 9.5.1 Market Trends
    • 9.5.2 Market Forecast

10 Market Breakup by End Use Industry

  • 10.1 BFSI
    • 10.1.1 Market Trends
    • 10.1.2 Market Forecast
  • 10.2 IT and Telecom
    • 10.2.1 Market Trends
    • 10.2.2 Market Forecast
  • 10.3 Retail and E-Commerce
    • 10.3.1 Market Trends
    • 10.3.2 Market Forecast
  • 10.4 Healthcare and Life Sciences
    • 10.4.1 Market Trends
    • 10.4.2 Market Forecast
  • 10.5 Manufacturing
    • 10.5.1 Market Trends
    • 10.5.2 Market Forecast
  • 10.6 Energy and Utilities
    • 10.6.1 Market Trends
    • 10.6.2 Market Forecast
  • 10.7 Media and Entertainment
    • 10.7.1 Market Trends
    • 10.7.2 Market Forecast
  • 10.8 Government
    • 10.8.1 Market Trends
    • 10.8.2 Market Forecast
  • 10.9 Others
    • 10.9.1 Market Trends
    • 10.9.2 Market Forecast

11 Market Breakup by Region

  • 11.1 North America
    • 11.1.1 United States
      • 11.1.1.1 Market Trends
      • 11.1.1.2 Market Forecast
    • 11.1.2 Canada
      • 11.1.2.1 Market Trends
      • 11.1.2.2 Market Forecast
  • 11.2 Asia-Pacific
    • 11.2.1 China
      • 11.2.1.1 Market Trends
      • 11.2.1.2 Market Forecast
    • 11.2.2 Japan
      • 11.2.2.1 Market Trends
      • 11.2.2.2 Market Forecast
    • 11.2.3 India
      • 11.2.3.1 Market Trends
      • 11.2.3.2 Market Forecast
    • 11.2.4 South Korea
      • 11.2.4.1 Market Trends
      • 11.2.4.2 Market Forecast
    • 11.2.5 Australia
      • 11.2.5.1 Market Trends
      • 11.2.5.2 Market Forecast
    • 11.2.6 Indonesia
      • 11.2.6.1 Market Trends
      • 11.2.6.2 Market Forecast
    • 11.2.7 Others
      • 11.2.7.1 Market Trends
      • 11.2.7.2 Market Forecast
  • 11.3 Europe
    • 11.3.1 Germany
      • 11.3.1.1 Market Trends
      • 11.3.1.2 Market Forecast
    • 11.3.2 France
      • 11.3.2.1 Market Trends
      • 11.3.2.2 Market Forecast
    • 11.3.3 United Kingdom
      • 11.3.3.1 Market Trends
      • 11.3.3.2 Market Forecast
    • 11.3.4 Italy
      • 11.3.4.1 Market Trends
      • 11.3.4.2 Market Forecast
    • 11.3.5 Spain
      • 11.3.5.1 Market Trends
      • 11.3.5.2 Market Forecast
    • 11.3.6 Russia
      • 11.3.6.1 Market Trends
      • 11.3.6.2 Market Forecast
    • 11.3.7 Others
      • 11.3.7.1 Market Trends
      • 11.3.7.2 Market Forecast
  • 11.4 Latin America
    • 11.4.1 Brazil
      • 11.4.1.1 Market Trends
      • 11.4.1.2 Market Forecast
    • 11.4.2 Mexico
      • 11.4.2.1 Market Trends
      • 11.4.2.2 Market Forecast
    • 11.4.3 Others
      • 11.4.3.1 Market Trends
      • 11.4.3.2 Market Forecast
  • 11.5 Middle East and Africa
    • 11.5.1 Market Trends
    • 11.5.2 Market Breakup by Country
    • 11.5.3 Market Forecast

12 SWOT Analysis

  • 12.1 Overview
  • 12.2 Strengths
  • 12.3 Weaknesses
  • 12.4 Opportunities
  • 12.5 Threats

13 Value Chain Analysis

14 Porters Five Forces Analysis

  • 14.1 Overview
  • 14.2 Bargaining Power of Buyers
  • 14.3 Bargaining Power of Suppliers
  • 14.4 Degree of Competition
  • 14.5 Threat of New Entrants
  • 14.6 Threat of Substitutes

15 Price Analysis

16 Competitive Landscape

  • 16.1 Market Structure
  • 16.2 Key Players
  • 16.3 Profiles of Key Players
    • 16.3.1 Amazon Web Services Inc. (Amazon.com Inc)
      • 16.3.1.1 Company Overview
      • 16.3.1.2 Product Portfolio
      • 16.3.1.3 SWOT Analysis
    • 16.3.2 Atos SE
      • 16.3.2.1 Company Overview
      • 16.3.2.2 Product Portfolio
      • 16.3.2.3 Financials
      • 16.3.2.4 SWOT Analysis
    • 16.3.3 Capgemini
      • 16.3.3.1 Company Overview
      • 16.3.3.2 Product Portfolio
      • 16.3.3.3 Financials
      • 16.3.3.4 SWOT Analysis
    • 16.3.4 Cloudera Inc.
      • 16.3.4.1 Company Overview
      • 16.3.4.2 Product Portfolio
      • 16.3.4.3 Financials
    • 16.3.5 Dell Technologies Inc.
      • 16.3.5.1 Company Overview
      • 16.3.5.2 Product Portfolio
      • 16.3.5.3 Financials
      • 16.3.5.4 SWOT Analysis
    • 16.3.6 Google LLC (Alphabet Inc.)
      • 16.3.6.1 Company Overview
      • 16.3.6.2 Product Portfolio
      • 16.3.6.3 SWOT Analysis
    • 16.3.7 Hewlett Packard Enterprise Development LP
      • 16.3.7.1 Company Overview
      • 16.3.7.2 Product Portfolio
      • 16.3.7.3 Financials
      • 16.3.7.4 SWOT Analysis
    • 16.3.8 International Business Machines Corporation
      • 16.3.8.1 Company Overview
      • 16.3.8.2 Product Portfolio
      • 16.3.8.3 Financials
      • 16.3.8.4 SWOT Analysis
    • 16.3.9 Microsoft Corporation
      • 16.3.9.1 Company Overview
      • 16.3.9.2 Product Portfolio
      • 16.3.9.3 Financials
      • 16.3.9.4 SWOT Analysis
    • 16.3.10 Oracle Corporation
      • 16.3.10.1 Company Overview
      • 16.3.10.2 Product Portfolio
      • 16.3.10.3 Financials
      • 16.3.10.4 SWOT Analysis
    • 16.3.11 SAP SE
      • 16.3.11.1 Company Overview
      • 16.3.11.2 Product Portfolio
      • 16.3.11.3 Financials
      • 16.3.11.4 SWOT Analysis
    • 16.3.12 SAS Institute Inc.
      • 16.3.12.1 Company Overview
      • 16.3.12.2 Product Portfolio
      • 16.3.12.3 SWOT Analysis
    • 16.3.13 Snowflake Inc.
      • 16.3.13.1 Company Overview
      • 16.3.13.2 Product Portfolio
      • 16.3.13.3 Financials
    • 16.3.14 Tata Consultancy Services Limited
      • 16.3.14.1 Company Overview
      • 16.3.14.2 Product Portfolio
      • 16.3.14.3 Financials
      • 16.3.14.4 SWOT Analysis
    • 16.3.15 Teradata Corporation
      • 16.3.15.1 Company Overview
      • 16.3.15.2 Product Portfolio
      • 16.3.15.3 Financials
      • 16.3.15.4 SWOT Analysis

List of Figures

  • Figure 1: Global: Data Lakes Market: Major Drivers and Challenges
  • Figure 2: Global: Data Lakes Market: Sales Value (in Billion US$), 2018-2023
  • Figure 3: Global: Data Lakes Market Forecast: Sales Value (in Billion US$), 2024-2032
  • Figure 4: Global: Data Lakes Market: Breakup by Component (in %), 2023
  • Figure 5: Global: Data Lakes Market: Breakup by Deployment Mode (in %), 2023
  • Figure 6: Global: Data Lakes Market: Breakup by Organization Size (in %), 2023
  • Figure 7: Global: Data Lakes Market: Breakup by Business Function (in %), 2023
  • Figure 8: Global: Data Lakes Market: Breakup by End Use Industry (in %), 2023
  • Figure 9: Global: Data Lakes Market: Breakup by Region (in %), 2023
  • Figure 10: Global: Data Lakes (Solutions) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 11: Global: Data Lakes (Solutions) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 12: Global: Data Lakes (Services) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 13: Global: Data Lakes (Services) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 14: Global: Data Lakes (On-premises) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 15: Global: Data Lakes (On-premises) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 16: Global: Data Lakes (Cloud-based) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 17: Global: Data Lakes (Cloud-based) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 18: Global: Data Lakes (Small and Medium-sized Enterprises) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 19: Global: Data Lakes (Small and Medium-sized Enterprises) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 20: Global: Data Lakes (Large Enterprises) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 21: Global: Data Lakes (Large Enterprises) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 22: Global: Data Lakes (Marketing) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 23: Global: Data Lakes (Marketing) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 24: Global: Data Lakes (Sales) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 25: Global: Data Lakes (Sales) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 26: Global: Data Lakes (Operations) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 27: Global: Data Lakes (Operations) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 28: Global: Data Lakes (Finance) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 29: Global: Data Lakes (Finance) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 30: Global: Data Lakes (Human Resources) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 31: Global: Data Lakes (Human Resources) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 32: Global: Data Lakes (BFSI) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 33: Global: Data Lakes (BFSI) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 34: Global: Data Lakes (IT and Telecom) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 35: Global: Data Lakes (IT and Telecom) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 36: Global: Data Lakes (Retail and E-Commerce) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 37: Global: Data Lakes (Retail and E-Commerce) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 38: Global: Data Lakes (Healthcare and Life Sciences) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 39: Global: Data Lakes (Healthcare and Life Sciences) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 40: Global: Data Lakes (Manufacturing) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 41: Global: Data Lakes (Manufacturing) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 42: Global: Data Lakes (Energy and Utilities) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 43: Global: Data Lakes (Energy and Utilities) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 44: Global: Data Lakes (Media and Entertainment) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 45: Global: Data Lakes (Media and Entertainment) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 46: Global: Data Lakes (Government) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 47: Global: Data Lakes (Government) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 48: Global: Data Lakes (Other End Use Industries) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 49: Global: Data Lakes (Other End Use Industries) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 50: North America: Data Lakes Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 51: North America: Data Lakes Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 52: United States: Data Lakes Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 53: United States: Data Lakes Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 54: Canada: Data Lakes Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 55: Canada: Data Lakes Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 56: Asia-Pacific: Data Lakes Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 57: Asia-Pacific: Data Lakes Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 58: China: Data Lakes Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 59: China: Data Lakes Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 60: Japan: Data Lakes Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 61: Japan: Data Lakes Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 62: India: Data Lakes Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 63: India: Data Lakes Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 64: South Korea: Data Lakes Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 65: South Korea: Data Lakes Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 66: Australia: Data Lakes Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 67: Australia: Data Lakes Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 68: Indonesia: Data Lakes Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 69: Indonesia: Data Lakes Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 70: Others: Data Lakes Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 71: Others: Data Lakes Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 72: Europe: Data Lakes Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 73: Europe: Data Lakes Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 74: Germany: Data Lakes Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 75: Germany: Data Lakes Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 76: France: Data Lakes Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 77: France: Data Lakes Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 78: United Kingdom: Data Lakes Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 79: United Kingdom: Data Lakes Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 80: Italy: Data Lakes Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 81: Italy: Data Lakes Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 82: Spain: Data Lakes Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 83: Spain: Data Lakes Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 84: Russia: Data Lakes Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 85: Russia: Data Lakes Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 86: Others: Data Lakes Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 87: Others: Data Lakes Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 88: Latin America: Data Lakes Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 89: Latin America: Data Lakes Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 90: Brazil: Data Lakes Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 91: Brazil: Data Lakes Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 92: Mexico: Data Lakes Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 93: Mexico: Data Lakes Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 94: Others: Data Lakes Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 95: Others: Data Lakes Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 96: Middle East and Africa: Data Lakes Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 97: Middle East and Africa: Data Lakes Market: Breakup by Country (in %), 2023
  • Figure 98: Middle East and Africa: Data Lakes Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 99: Global: Data Lakes Industry: SWOT Analysis
  • Figure 100: Global: Data Lakes Industry: Value Chain Analysis
  • Figure 101: Global: Data Lakes Industry: Porter's Five Forces Analysis

List of Tables

  • Table 1: Global: Data Lakes Market: Key Industry Highlights, 2023 and 2032
  • Table 2: Global: Data Lakes Market Forecast: Breakup by Component (in Million US$), 2024-2032
  • Table 3: Global: Data Lakes Market Forecast: Breakup by Deployment Mode (in Million US$), 2024-2032
  • Table 4: Global: Data Lakes Market Forecast: Breakup by Organization Size (in Million US$), 2024-2032
  • Table 5: Global: Data Lakes Market Forecast: Breakup by Business Function (in Million US$), 2024-2032
  • Table 6: Global: Data Lakes Market Forecast: Breakup by End Use Industry (in Million US$), 2024-2032
  • Table 7: Global: Data Lakes Market Forecast: Breakup by Region (in Million US$), 2024-2032
  • Table 8: Global: Data Lakes Market: Competitive Structure
  • Table 9: Global: Data Lakes Market: Key Players