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市场调查报告书
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1560966

2024-2032 年按产品、资料类型、部署模型、企业规模、最终用户和区域分類的资料仓储市场报告

Data Warehousing Market Report by Offering, Data Type, Deployment Model, Enterprise Size, End User, and Region 2024-2032
出版日期: | 出版商: IMARC | 英文 136 Pages | 商品交期: 2-3个工作天内

价格

2023年全球资料仓储市场IMARC Group达317亿美元。对下一代 BI 解决方案的需求不断增长，以及全球组织产生的资料量不断增加，是推动市场成长的关键因素之一。

全球资料仓储市场分析：

  • 主要市场驱动因素：业务营运从手动系统逐渐转向自动化系统，以及产生的资料量不断增加，主要推动了资料仓储解决方案市场的发展。除此之外，对专用储存系统以低延迟和即时视图执行增强资料分析的需求不断增长，也促进了市场的成长。
  • 主要市场趋势：基于云端的资料仓储解决方案的日益普及是市场成长的重要推动因素。基于云端的资料仓储解决方案为与其他云端服务和应用程式的协作和整合提供了更好的机会。此外，云端技术的进步，例如增强的安全措施和资料加密，进一步使企业更有信心将敏感资料迁移到云端。
  • 竞争格局：全球资料仓储市场的一些领先参与者包括Actian Corporation (HCL Technologies Limited)、Amazon Web Services Inc. (Amazon.com Inc.)、Cloudera Inc.、Dell Technologies Inc.、Google LLC (Alphabet Inc.) 。
  • 地理趋势：由于技术先进的资料仓储基础设施的可用性，预计北美将拥有重要的市场份额。美国组织正在多个垂直领域快速采用分析解决方案。由于管理营运资料的巨大需求以及云端解决方案提供商的不断涌现，它们被认为是市场上的领先国家。此外，该地区的各个企业正在广泛投资部署强大的资料仓储解决方案，以有效管理和利用资料。
  • 挑战与机会：跨不同来源维护大量准确且一致的资料可能相当困难，从而导致网路威胁和资料外洩等问题。然而，各种组织越来越多地建立强大的资料治理框架，以提高资料安全品质、确保合规性并增强决策流程，预计这将为市场参与者提供巨大的成长机会。

全球资料仓储市场趋势：

智慧型手机的渗透率不断上升

拥有智慧型手机和网路连线的人数不断增加，主要推动了全球资料仓储市场的成长。据 GSMA 称，截至 2023 年，全球活跃 iOS 和 Android 智慧型手机数量超过 62 亿部，预计到 2025 年将达到 74 亿部。 DW)、商业智慧(BI) 系统和资料分析系统。此外，根据资讯和广播部的数据，2022年11月，印度拥有超过12亿手机用户，其中6亿智慧型手机用户。此外，有人提到，除了相对便宜的资料速率外，智慧型手机的广泛使用还导致个人在行动装置上消费大量资讯和娱乐。除此之外，手机充当资料库，储存了大量的用户资料，可以根据用户批准的条款和条件进行分析。活动资料仓储可以利用这些资料来收集使用者的多种特征。智慧型手机用户需要庞大的云端资料库来进行资料访问，因此需要资料仓储解决方案，从而推动市场成长。

云端资料仓储的出现

商业智慧和分析在不同业务垂直领域的重要性日益提高，成为市场的另一个重要成长因素。此外，云端资料仓储可作为分析和商业智慧流程的支柱，用于储存大量资料。与此一致的是，云端服务的不断普及进一步促进了商业智慧和分析实践的采用，因为它们可以帮助组织获得可行的见解。不同产业向人工智慧 (AI) 和机器学习 (ML) 实施的转变预计将进一步提振资料仓储解决方案市场。此外，各个主要市场参与者都在提供人工智慧整合的云端资料仓储解决方案。例如，2023 年 10 月，mParticle, Inc. 宣布推出 ComposeID，这是与云端资料仓储环境相容的身份解析服务。 ComposeID 基于 IDSync。 IDSync 旨在协助团队支援任何资料架构上的任何身分策略。同样，2023 年 7 月，国际商业机器公司 (IBM) 宣布了 IBM Db2 Warehouse 的新更新。下一代仓库可以在高级快取的支援下添加云端物件存储，从而将查询回应速度提高四倍，同时将存储成本降低 34%。

越来越多采用混合工作模式

COVID-19爆发后远距工作状况的激增有利于资料仓储市场的需求。在家工作的新兴趋势为组织带来了需要克服的新的复杂挑战。因此，企业越来越多地采用云端运算并迁移到云端资料仓储。为此，各科技巨头正相互合作开发高效能的云端资料仓储。例如，2022 年 6 月，HCL Technologies 与 Amazon Web Services 合作。 AWS 使 HCL 能够提供可扩展、经济高效、安全且高效能的企业资料仓储解决方案。 Amazon Redshift 提供由现代 AI/ML 功能支援的数据驱动的业务洞察，以提高 HCL Technologies 的营运效率、决策制定和更快的上市时间。除此之外，对低延迟和高速分析的需求不断增长，加上商业智慧在企业管理中日益重要的作用，预计将显着推动市场需求。

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：全球资料仓储市场

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

第 6 章：市场区隔：依产品分类

  • ETL解决方案
    • 市场趋势
    • 市场预测
  • 统计分析
    • 市场趋势
    • 市场预测
  • 资料探勘
    • 市场趋势
    • 市场预测
  • 其他的
    • 市场趋势
    • 市场预测

第 7 章：市场区隔：按资料类型

  • 非结构化数据
    • 市场趋势
    • 市场预测
  • 半结构化和结构化数据
    • 市场趋势
    • 市场预测

第 8 章：市场区隔：依部署模型

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

第 9 章：市场区隔：依企业规模

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

第 10 章：市场区隔：依最终用户

  • BFSI
    • 市场趋势
    • 市场预测
  • 资讯科技和电信
    • 市场趋势
    • 市场预测
  • 政府
    • 市场趋势
    • 市场预测
  • 製造业
    • 市场趋势
    • 市场预测
  • 零售
    • 市场趋势
    • 市场预测
  • 卫生保健
    • 市场趋势
    • 市场预测
  • 媒体和娱乐
    • 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
    • Actian Corporation (HCL Technologies Limited)
    • Amazon Web Services Inc. (Amazon.com Inc)
    • Cloudera Inc.
    • Dell Technologies Inc.
    • Google LLC (Alphabet Inc.)
    • Hewlett Packard Enterprise Development LP
    • International Business Machines Corporation
    • Microsoft Corporation
    • Oracle Corporation
    • SAP SE
    • Snowflake Inc
    • Teradata Corporation
Product Code: SR112024A4389

The global data warehousing market size reached US$ 31.7 Billion in 2023. Looking forward, IMARC Group expects the market to reach US$ 70.4 Billion by 2032, exhibiting a growth rate (CAGR) of 9% during 2024-2032. The rising demand for next generation BI solutions, along with the increasing amount of data generated by organizations across the globe, is one of the key factors driving the market growth.

Global Data Warehousing Market Analysis:

  • Major Market Drivers: The increasing shift from manual to automated systems to carry out business operations, along with the increasing volume of data generated, is primarily driving the market for data warehousing solutions. In addition to this, the increasing requirement for dedicated storage systems to perform enhanced data analytics with low latency and real-time view is also catalyzing the market growth.
  • Key Market Trends: The rising popularity of cloud-based data warehousing solutions is acting as a significant growth-inducing factor for the market. Cloud-based data warehousing solutions provide better opportunities for collaboration and integration with other cloud services and applications. Additionally, advancements in cloud technology, such as enhanced security measures and data encryption, are further making businesses more confident in migrating their sensitive data to the cloud.
  • Competitive Landscape: Some of the leading players in the global data warehousing market include Actian Corporation (HCL Technologies Limited), Amazon Web Services Inc. (Amazon.com Inc), Cloudera Inc., Dell Technologies Inc., Google LLC (Alphabet Inc.), Hewlett Packard Enterprise Development L.P., International Business Machines Corporation, Microsoft Corporation, Oracle Corporation, SAP SE, Snowflake Inc, and Teradata Corporation, among others.
  • Geographical Trends: North America is anticipated to have a significant market share owing to the availability of technologically advanced data warehouse infrastructure. The U.S. organizations are rapidly adopting analytics solutions across several verticals. They are considered the leading country in the market due to the significant demand for managing operational data and the increased emergence of cloud solution providers. Moreover, various enterprises in the region are extensively investing in the deployment of robust data warehousing solutions to manage and utilize data effectively.
  • Challenges and Opportunities: Maintaining a large volume of accurate and consistent data across diverse sources can be quite difficult, resulting in issues like cyber threats and data breaches. However, various organizations are increasingly establishing robust data governance frameworks to improve data security quality, ensure compliance, and enhance decision-making processes, which is expected to offer significant growth opportunities to the market players.

Global Data Warehousing Market Trends:

Rising Penetration of Smartphones

The increasing number of people with smartphones and internet connections is primarily driving the growth of the global data warehousing market. According to the GSMA, there are more than 6.2 billion active iOS and android smartphones worldwide as of 2023, and it is expected to reach 7.4 billion by 2025. Additionally, the usage of mobile technology is increasing across a range of computer systems, including Data Warehouse (DW), Business Intelligence (BI) systems, and Data Analytic systems. Moreover, according to the Ministry of Information and Broadcasting, in November 2022, India had more than 1.2 billion mobile phone subscribers, including 600 million smartphone users. Furthermore, it was mentioned that in addition to having relatively cheap data rates, the widespread usage of smartphones has resulted in individuals consuming a lot of information and entertainment on their mobile devices. Besides this, mobile phones act as a database, where a considerable amount of user data is stored, which can be subjected to analysis as per the T&C approval by the user. The data can be utilized by active data warehouses to collect multiple traits of the user. Smartphone users need a vast cloud database for data access, thereby needing data warehousing solutions, driving market growth.

Emergence of Cloud Data Warehouses

The rising importance of business intelligence and analytics across different business verticals is acting as another significant growth-inducing factor for the market. Moreover, cloud data warehouses act as a backbone in analytics and business intelligence processes for storing large amounts of data. In line with this, the escalating adoption of cloud services is further augmenting the adoption of business intelligence and analytic practices as they aid organizations in deriving actionable insights. The shift towards the implementation of Artificial Intelligence (AI) and Machine Learning (ML) across different industries is further expected to bolster the market for data warehousing solutions. Moreover, various key market players are AI-integrated cloud data warehousing solutions. For instance, in October 2023, mParticle, Inc. announced the launch of ComposeID, an identity resolution service compatible with cloud data warehousing environments. ComposeID is based on IDSync. IDSync is intended to assist teams in supporting any identity strategy on any data architecture. Similarly, in July 2023, International Business Machines Corp. (IBM) announced new updates in the IBM Db2 Warehouse. The next generation of the warehouse can add cloud object storage with the support of advanced caching, delivering four times faster query response while cutting storage costs by 34%.

Increasing Adoption of Hybrid Work Models

The surge in remote work situations after the outbreak of COVID-19 has been advantageous for the demand of the data warehousing market. The emerging trend of work-from-home has generated new complicated challenges for organizations to overcome. As a result, businesses are increasingly embracing cloud computing and migrating to cloud data warehouses. In line with this, various tech giants are partnering with each other to develop high-performing cloud data warehouses. For instance, in June 2022, HCL Technologies partnered with Amazon Web Services. AWS allows HCL to offer scalable, cost-effective, secure, and high-performing enterprise data warehouse solutions. Amazon Redshift provides data-driven business insights enabled by modern AI/ML capabilities to improve operational efficiency, decision-making, and faster time to market to HCL Technologies. Besides this, the rising demand for low latency and high-speed analytics, combined with the growing role of business intelligence in enterprise management, is expected to drive the market demand significantly.

Global Data Warehousing Industry Segmentation:

IMARC Group provides an analysis of the key trends in each segment of the global data warehousing market report, along with forecasts at the global, regional and country level from 2024-2032. Our report has categorized the market based on offering, data type, deployment model, enterprise size and end user.

Breakup by Offering:

  • ETL Solutions
  • Statistical Analysis
  • Data Mining
  • Others

ETL solutions hold the majority of the total market share

Based on the offering, the global data warehousing market can be segmented into ETL solutions, statistical analysis, data mining, and others. According to the report, ETL solutions hold the majority of the total market share.

Extract, transform, and load (ETL) refers to a process through which data is extracted from a source and then moved to a central host. The process is high in demand as it runs in parallel to save time. For instance, during data extraction, transformation can begin processing the received data simultaneously to prepare it for loading. This allows the loading process to work on the prepared data without waiting for the entire extraction process to finish.

Breakup by Data Type:

  • Unstructured Data
  • Semi-Structured and Structured Data

Semi-structured and structured data currently accounts for the largest market share

Based on the data type, the global data warehousing market has been divided into unstructured data and semi-structured and structured data. According to the report, semi-structured and structured data currently accounts for the largest market share.

Structured data is information that has been formatted and transformed into a well-defined data model. The raw data is mapped into predesigned fields that can then be extracted and read through SQL easily. Due to the organization of structured data, it is easier to analyze and drive insights from it. While on the other hand semi-structured data or partially structured data is another category between structured and unstructured data. Semi-structured data is a type of data that has some consistent and definite characteristics. Businesses generally use organizational properties like metadata or semantics tags with semi-structured data to make it more manageable.

Breakup by Deployment Model:

  • On-premises
  • Cloud-based
  • Hybrid

On-premises exhibit a clear dominance in the market

Based on the deployment model, the global data warehousing market can be categorized into on-premises, cloud-based, and hybrid. According to the report, on-premises exhibit a clear dominance in the market.

In an on-premises deployment model, the service is purchased and installed on the user server. This service is maintained by the IT specialists in the end-user organization. The growing demand for the on-premises model can be attributed to factors such as the high cost involved with the implementation and up-gradation and fewer options for scalability. These solutions offer features such as workflow streamlining, control, speed, security, governance, and reporting.

Breakup by Enterprise Size:

  • Large Enterprises
  • Small and Medium-sized Enterprises

Large enterprises currently hold the majority of the global market share

Based on the enterprise size, the global data warehousing market has been segregated into large enterprises and small and medium-sized enterprises, where large enterprises currently hold the majority of the global market share.

Large enterprises generally have more complex data management requirements on account of their scale and diverse operations, which may require a combination of on-premises solutions, cloud-based services, and hybrid deployments to meet their complex business needs. Large enterprises also need more customization, integration with existing systems, and advanced features such as data governance, analytics, and security.

Breakup by End User:

  • BFSI
  • IT and Telecom
  • Government
  • Manufacturing
  • Retail
  • Healthcare
  • Media and Entertainment
  • Others

The BFSI sector exhibits a clear dominance in the market

Based on the end user, the global data warehousing market can be bifurcated into BFSI, IT and telecom, government, manufacturing, retail, healthcare, media and entertainment, and others. According to the report, the BFSI sector exhibits a clear dominance in the market.

The banking, financial services, and insurance (BFSI) sector is highly lucrative for growth in the Data Warehouse-as-a-Service market as it deals with massive customer data generated regularly. Due to the large amount of data generated across the BFSI sector, enterprises need data warehousing solutions to automatically track the performance and behavior of the information stored in their systems. Numerous banks, including BNY Mellon, Morgan Stanley, Bank of America, Credit Suisse, and PNC are already working on strategies around Big Data in Banking, and other banks are rapidly catching up.

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

North America currently dominates the global market

On a regional level, the market has been classified into North America, Asia-Pacific, Europe, Latin America, and Middle East and Africa, where North America currently dominates the global market.

North America is anticipated to have a significant market share owing to the availability of technologically advanced data warehouse infrastructure. U.S. organizations are rapidly adopting analytics solutions across several verticals. They are considered the leading country in the market due to the significant demand for managing operational data and the increased emergence of cloud solution providers. Moreover, various enterprises in the region are extensively investing in the deployment of robust data warehousing solutions to manage and utilize data effectively. For instance, in January 2023, Eucloid, a Data & Growth Intelligence company, announced a partnership with Databricks to make the Lakehouse Platform available to its Fortune 500 clients. The company's Lakehouse platform provides a single solution for all significant data tasks, which integrates several data warehouse and data lake features.

Competitive Landscape:

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

  • Actian Corporation (HCL Technologies Limited)
  • Amazon Web Services Inc. (Amazon.com Inc)
  • Cloudera Inc.
  • Dell Technologies Inc.
  • Google LLC (Alphabet Inc.)
  • Hewlett Packard Enterprise Development LP
  • International Business Machines Corporation
  • Microsoft Corporation
  • Oracle Corporation
  • SAP SE
  • Snowflake Inc
  • Teradata Corporation

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

Global Data Warehousing Market News:

  • April 2024: Data Army, a leading Australian data consultancy specializing in advanced data solutions, partnered with Hightouch, the leading Composable Customer Data Platform, to provide Australian businesses with solutions to activate audiences and other customer data points directly from their organization's data warehouse.
  • January 2024: Datometry, the pioneer in database virtualization, and Yellowbrick Data announced that they have entered a technology partnership. By supporting Yellowbrick as a destination platform, enterprises can adopt Yellowbrick considerably faster. Existing Yellowbrick customers can increase usage by consolidating workloads from Oracle or Teradata systems to Yellowbrick.

Key Questions Answered in This Report

  • 1. What was the size of the global data warehousing market in 2023?
  • 2. What is the expected growth rate of the global data warehousing market during 2024-2032?
  • 3. What has been the impact of COVID-19 on the global data warehousing market?
  • 4. What are the key factors driving the global data warehousing market?
  • 5. What is the breakup of the global data warehousing market based on the offering?
  • 6. What is the breakup of the global data warehousing market based on the data type?
  • 7. What is the breakup of the global data warehousing market based on deployment model?
  • 8. What is the breakup of the global data warehousing market based on the enterprise size?
  • 9. What is the breakup of the global data warehousing market based on the end user?
  • 10. What are the key regions in the global data warehousing market?
  • 11. Who are the key players/companies in the global data warehousing market?

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 Warehousing Market

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

6 Market Breakup by Offering

  • 6.1 ETL Solutions
    • 6.1.1 Market Trends
    • 6.1.2 Market Forecast
  • 6.2 Statistical Analysis
    • 6.2.1 Market Trends
    • 6.2.2 Market Forecast
  • 6.3 Data Mining
    • 6.3.1 Market Trends
    • 6.3.2 Market Forecast
  • 6.4 Others
    • 6.4.1 Market Trends
    • 6.4.2 Market Forecast

7 Market Breakup by Data Type

  • 7.1 Unstructured Data
    • 7.1.1 Market Trends
    • 7.1.2 Market Forecast
  • 7.2 Semi-Structured and Structured Data
    • 7.2.1 Market Trends
    • 7.2.2 Market Forecast

8 Market Breakup by Deployment Model

  • 8.1 On-premises
    • 8.1.1 Market Trends
    • 8.1.2 Market Forecast
  • 8.2 Cloud-based
    • 8.2.1 Market Trends
    • 8.2.2 Market Forecast
  • 8.3 Hybrid
    • 8.3.1 Market Trends
    • 8.3.2 Market Forecast

9 Market Breakup by Enterprise Size

  • 9.1 Large Enterprises
    • 9.1.1 Market Trends
    • 9.1.2 Market Forecast
  • 9.2 Small and Medium-sized Enterprises
    • 9.2.1 Market Trends
    • 9.2.2 Market Forecast

10 Market Breakup by End User

  • 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 Government
    • 10.3.1 Market Trends
    • 10.3.2 Market Forecast
  • 10.4 Manufacturing
    • 10.4.1 Market Trends
    • 10.4.2 Market Forecast
  • 10.5 Retail
    • 10.5.1 Market Trends
    • 10.5.2 Market Forecast
  • 10.6 Healthcare
    • 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 Others
    • 10.8.1 Market Trends
    • 10.8.2 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 Actian Corporation (HCL Technologies Limited)
      • 16.3.1.1 Company Overview
      • 16.3.1.2 Product Portfolio
    • 16.3.2 Amazon Web Services Inc. (Amazon.com Inc)
      • 16.3.2.1 Company Overview
      • 16.3.2.2 Product Portfolio
      • 16.3.2.3 SWOT Analysis
    • 16.3.3 Cloudera Inc.
      • 16.3.3.1 Company Overview
      • 16.3.3.2 Product Portfolio
      • 16.3.3.3 Financials
    • 16.3.4 Dell Technologies Inc.
      • 16.3.4.1 Company Overview
      • 16.3.4.2 Product Portfolio
      • 16.3.4.3 Financials
      • 16.3.4.4 SWOT Analysis
    • 16.3.5 Google LLC (Alphabet Inc.)
      • 16.3.5.1 Company Overview
      • 16.3.5.2 Product Portfolio
      • 16.3.5.3 SWOT Analysis
    • 16.3.6 Hewlett Packard Enterprise Development LP
      • 16.3.6.1 Company Overview
      • 16.3.6.2 Product Portfolio
      • 16.3.6.3 Financials
      • 16.3.6.4 SWOT Analysis
    • 16.3.7 International Business Machines Corporation
      • 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 Microsoft 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 Oracle 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 SAP SE
      • 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 Snowflake Inc
      • 16.3.11.1 Company Overview
      • 16.3.11.2 Product Portfolio
      • 16.3.11.3 Financials
    • 16.3.12 Teradata Corporation
      • 16.3.12.1 Company Overview
      • 16.3.12.2 Product Portfolio
      • 16.3.12.3 Financials
      • 16.3.12.4 SWOT Analysis

List of Figures

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

List of Tables

  • Table 1: Global: Data Warehousing Market: Key Industry Highlights, 2023 and 2032
  • Table 2: Global: Data Warehousing Market Forecast: Breakup by Offering (in Million US$), 2024-2032
  • Table 3: Global: Data Warehousing Market Forecast: Breakup by Data Type (in Million US$), 2024-2032
  • Table 4: Global: Data Warehousing Market Forecast: Breakup by Deployment Model (in Million US$), 2024-2032
  • Table 5: Global: Data Warehousing Market Forecast: Breakup by Enterprise Size (in Million US$), 2024-2032
  • Table 6: Global: Data Warehousing Market Forecast: Breakup by End User (in Million US$), 2024-2032
  • Table 7: Global: Data Warehousing Market Forecast: Breakup by Region (in Million US$), 2024-2032
  • Table 8: Global: Data Warehousing Market: Competitive Structure
  • Table 9: Global: Data Warehousing Market: Key Players