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到 2030 年资料资料仓储市场预测：按类型、部署模型、组织规模、应用程式、最终用户和区域进行的全球分析
市场调查报告书
商品编码
1372041

到 2030 年资料资料仓储市场预测：按类型、部署模型、组织规模、应用程式、最终用户和区域进行的全球分析

Cloud Data Warehouse Market Forecasts to 2030 - Global Analysis By Type, Deployment Model, Organization Size, Usage, Application, 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 预测，2023 年全球云端资料仓储市场规模将达到 323.7 亿美元，预计到 2030 年将达到 747.6 亿美元，预测期内年复合成长率为 12.7%。

云端资料仓储是在公有公共云端中作为託管服务交付的资料库，针对分析、规模和易用性进行了最佳化。云端资料仓储对于处理不断增长的资料来源是必要的。企业需要以速度和效能连接其 ERP、CRM、社群媒体、支援和行销资料，以做出资料主导的选择。现场资料仓储很难跟上。

快速部署大规模云端资料仓储

随着当今 IT架构的资料量和复杂性不断增长，组织正在寻求能够让他们专注于业务运营而不是IT基础设施的解决方案。此外，云端基础的云端基础资料和资料仓储的采用，使公司能够迁移关键业务业务。此外，企业主现在需要拥抱云端运算并将其资料仓储迁移到云端。这使得企业能够在短期内维持稳定的商业环境，同时致力于长期成长和市场扩张。

缺乏资源和专业知识

僱用和培训员工对于实施资料仓储服务至关重要。预算限制使得一些公司很难吸引新人才，而培训现有员工往往成本高昂。然而，云端中最困难的系统之一是资料仓储，如果没有必要的专业知识，这是不可能的。企业要成功实施云端资料仓储，需要具备云端架构专业知识、资料系统整合技术知识以及云端安全和管治知识的员工。因此，资料仓储服务的市场需求预计将因缺乏训练有素的资源而受到影响。

人工智慧在资料仓储中的使用增加

人工智慧和机器学习支援自动优化和转换资料以满足用户需求的智慧资料仓储。公司预计将利用这些技术，最终发展出持续、重复地将资料转化为价值的能力，从而使自己从竞争对手中脱颖而出，并变得更加敏捷和创新。Masu。此外，它还支援基于机器学习的自动化知识发现、预测和取证分析，以及从海量资料集中自动提取潜在预测资料。因此，将这些技术应用于资料仓储解决方案预计将在预测期内提供巨大的市场潜力。

缺乏适当的存取控制结构

采用资料仓储时，定义存取控制框架至关重要。企业经常难以决定哪些使用者和组织需要存取其资料仓储。然而，如果不平衡用户和发布权，系统将不可避免地面临巨大的需求并导致瓶颈。如果没有适当的存取控制，敏感资料可能会被未经授权的人员访问，严重阻碍市场成长。因此，资料仓储部署需要明确定义的存取控制机制。

COVID-19 的影响：

COVID-19 的爆发以及随后世界各国政府实施的封锁规定对各行业的资本投资产生了严重影响。因此，DWaaS（资料仓储即服务）的全球市场低迷。大多数各行业的公司被迫关闭业务和製造设施。从积极的一面来看，由于病毒的爆发，世界各地的企业正在拥抱云端运算等尖端最尖端科技并转向云端资料仓储。此外，资料仓储即服务市场预计将从对远距工作环境的日益重视中显着受益。

营运资料储存领域预计将在预测期内成为最大的领域

预计营运资料储存领域将在预测期内占据最大份额。对即时资料分析和彙报的需求不断增长是成长的主要驱动力。在组织中实施营运资料储存可以完善现有的资料基础设施，同时满足组织当前和长期的需求。此外，由于人工智慧在资料仓储中的广泛使用，预计 ODS 产业未来将呈现成长前景。云端资料仓储市场的公司正在提供尖端的解决方案，以应对资料量的指数增长并满足法律要求。

银行、金融服务和保险（BFSI）产业预计在预测期内年复合成长率最高

由于定期产生大量客户资料， BFSI（银行、金融服务和保险）领域在全球市场占据主导地位。由于该行业存在大量结构化和非结构化资料，BFSI 领域的公司依靠资料资料来自动追踪系统中储存的资讯的行为和效能。我们需要一个解决方案。此外，您将需要资料来製定产业计画并提高业务效率。资料仓储即服务 (DWaaS) 可协助世界各地的金融顾问公司避免更新本地硬体和软体的挑战。

占比最高的地区

预计北美在预测期内将占据最大份额。云端资料仓储解决方案等最尖端科技的使用以及与知名地区公司的合併和合作预计将刺激该地区的服务扩张。例如，Snowflake 和 Next Pathway 于 2019 年 10 月建立了合作伙伴关係，以加快旧资料仓储向 Snowflake 的迁移。此外，由于该地区拥有最先进的资料仓储基础设施，预计需求将会增加。分析解决方案正在被全国各地的公司迅速采用，特别是在零售、BFSI 和医疗保健等行业。

复合年复合成长率最高的地区：

由于中国和印度等新兴经济体的技术开发和多个行业的投资不断增加，预计亚太地区在预测期内将维持最高的年复合成长率。此外，该地区公司降低的营运成本和提高的生产力预计将引起许多全球市场参与企业的高度关注。亚太地区的企业正致力于加强客户服务，进而提高客户维繫率。

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、预测和年复合成长率（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1章执行摘要

第2章前言

  • 概述
  • 利害关係人
  • 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3章市场趋势分析

  • 促进因素
  • 抑制因素
  • 机会
  • 威胁
  • 应用分析
  • 最终用户分析
  • 新兴市场
  • 新型冠状病毒感染疾病（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
  • 竞争公司之间的敌对关係

第5章全球云端资料仓储市场：按类型

  • 操作资料存储
  • 企业云端资料仓储

第6章全球云端资料仓储市场：依部署模型

  • 公共云端
  • 私有云端
  • 混合云端

第7章全球云端资料仓储市场：依组织规模

  • 大公司
  • 中小企业

第8章全球云端资料仓储市场：依应用分类

  • 分析
  • 报告
  • 资料探勘

第9章全球云端资料仓储市场：依应用分类

  • 供应链管理
  • 客户分析
  • 风险与合规管理
  • 资产管理
  • 诈欺侦测和威胁
  • 其他用途

第10章全球云端资料仓储市场：依最终用户分类

  • 媒体和娱乐
  • 製造业和汽车
  • 零售与电子商务
  • 医疗保健和生命科学
  • 政府和公共部门
  • 银行、金融服务和保险 (BFSI)
  • 旅游和招待
  • 其他最终用户

第11章全球云端资料仓储市场：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12章进展

  • 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13章公司简介

  • Amazon Web Services
  • Actian Corporation
  • Google
  • AtScale
  • Mark Logic Corporation
  • Microsoft Corporation
  • Micro Focus
  • Hortonworks
  • Teradata Corporation
  • Netavis GmbH
  • Oracle Corporation
  • SAP SE
  • Veeva Systems Inc.
  • Snowflake
  • Cloudera
  • Pivotal
  • Solver
Product Code: SMRC24097

According to Stratistics MRC, the Global Cloud Data Warehouse Market is accounted for $32.37 billion in 2023 and is expected to reach $74.76 billion by 2030 growing at a CAGR of 12.7% during the forecast period. Cloud data warehouse is a database delivered in a public cloud as a managed service that is optimized for analytics, scale and ease of use. Cloud data warehouses are necessary to handle the expanding number of data sources. Businesses must connect ERP, CRM, social media, support, and marketing data while retaining speed and performance in order to make data-driven choices. On-site data warehouses are finding it difficult to keep up.

Market Dynamics:

Driver:

Rapidly deploying massive cloud data warehouses

Organisations are seeking solutions to concentrate on business operations rather than the IT infrastructure due to the ever-increasing data quantities and complexity levels in the current IT architecture. Additionally, the adoption of cloud-based data marts and data warehouses is being prompted by improvements in cloud-based infrastructure, which are enabling businesses to move their crucial business operations. Moreover, business owners now need to embrace cloud computing and move their data warehouses to the cloud. This will assist organisations in maintaining a stable business environment in the short term while aiming for long-term growth and expansion of the market.

Restraint:

Lack of resources and expertise

The hiring and training of staff members are essential steps in implementing data warehouse services. Budget restrictions make it challenging for certain businesses to acquire new personnel, and training current employees is often expensive. However, one of the trickiest systems to implement in the cloud is a data warehouse, which is impossible to do without the necessary expertise. Companies need employees with expertise in cloud architecture, technical knowledge of integrating data systems, and knowledge of cloud security and governance to run cloud data warehouses successfully. As a result, the market's demand for data warehouse services is anticipated to be impacted by the scarcity of trained resources.

Opportunity:

Increased use of AI in data warehouses

A smart data warehouse that automatically optimizes and converts data to fulfil user requirements is made possible by AI and machine learning. Businesses are utilizing these technologies to eventually develop the ability to continuously and repeatedly transform data into value, which is predicted to differentiate them from their rivals and increase their agility and innovation. Additionally, it enables machine learning-based automated knowledge discovery, prediction, and forensic analysis, in addition to the automatic extraction of latent predictive data from sizable datasets. As a result, during the projected period, the adoption of these technologies for data warehousing solutions is expected to offer significant market potential.

Threat:

Lack of proper structure of access control

While employing data warehouses, it is crucial to define the access control framework. Businesses frequently struggle to decide which users and organizations need access to the data warehouse. However, without balancing users and issuing rights, the system finds itself beneath a heavy demand that inevitably leads to bottlenecks. Without adequate access control, sensitive data may become accessible to unauthorized people, severely hampering the expansion of the market growth. Thus, the deployment of data warehouses requires a clearly defined access control mechanism.

COVID-19 Impact:

The COVID-19 outbreak and the subsequent lockdown restrictions implemented by governments worldwide have had a severe effect on capital investments in a variety of different industries. As a result, the global market for DWaaS (data warehouse as a service) has experienced a lack of growth. Since the majority of businesses operating in various industries had to close their operational and manufacturing facilities. On the plus side, businesses globally are embracing cutting-edge technology like cloud computing and moving to cloud data warehouses as a result of the virus's spread. Furthermore, the market for data warehouses as a-service is anticipated to profit greatly from the growing emphasis on remote work settings.

The operational data storage segment is expected to be the largest during the forecast period

During the projected period, it is anticipated that operational data storage segment hold the largest share. Real-time data analytics and reporting are getting more in demand, which is primarily responsible for the rise. Operational data storage installation in an organization meets the current and long-term needs of the organization while completing the data infrastructure already in place. Additionally, the ODS industry is projected to experience future growth prospects resulting from the expanding usage of AI in data warehouses. Businesses in the cloud data warehouse market offer cutting-edge solutions to handle the exponential development in data quantities and satisfy legal requirements.

The banking, financial services and insurance (BFSI) segment is expected to have the highest CAGR during the forecast period

The BFSI (Banking, Financial Services, and Insurance) segment controls the global market since it deals with a significant volume of regularly generated customer data. Businesses in the BFSI sector need data warehousing solutions in order to automatically track the behavior and performance of the information that is stored in their systems due to the enormous amount of structured and unstructured data that exists in this industry. Additionally, they require data to create business plans and enhance operational efficiency. The use of DWaaS (data warehouse as a service) by financial consulting firms worldwide allows them to avoid the challenges of updating their on-premise hardware and software.

Region with largest share:

North America is anticipated to have largest share during the forecast period. The use of cutting-edge technology like cloud data warehouse solutions as well as mergers and collaborations with widely known regional businesses are predicted to fuel the expansion of these services in the area. For instance, Snowflake and Next Pathway established a collaborative alliance in October 2019 to quicken the migration of old data warehouses to Snowflake. Additionally, the availability of cutting-edge data warehouse infrastructure in the area is anticipated to increase demand. Analytics solutions are rapidly being adopted by businesses nationwide, especially in industries like retail, BFSI, healthcare, and others.

Region with highest CAGR:

Asia Pacific region is expected to hold highest CAGR throughout the projected period as a result of the expanding technology developments and investments across several verticals in emerging economies like China and India. Furthermore, a number of significant participants in the worldwide market are expected to have significant concerns due to the lower operational costs and higher productivity provided by businesses in the region. Businesses in the Asia Pacific area are putting more effort into enhancing customer service, which increases client retention.

Key players in the market:

Some of the key players in Cloud Data Warehouse Market include: Amazon Web Services, Actian Corporation, Google, AtScale, Mark Logic Corporation, Microsoft Corporation, Micro Focus, Hortonworks, Teradata Corporation, Netavis GmbH, Oracle Corporation, SAP SE, Veeva Systems Inc., Snowflake, Cloudera, Pivotal and Solver.

Key Developments:

In May 2023, Oracle Autonomous Data Warehouse, the industry's first and only autonomous database driven by machine learning and optimized for analytics workloads, received major enhancements. Oracle is enabling native multi-cloud features along with standard-based data sharing throughout databases, facilitating data integration and analysis with a novel low-code-based tool.

In January 2022, Firebolt, the cloud data warehouse for developers of next-generation analytics experiences, announced a USD 100 million Series C fundraising round bringing the company's valuation to USD 1.4 billion just 12 months after releasing from stealth mode. This new round of funding raises the total amount invested to USD 269 million.

Types Covered:

  • Operational Data Storage
  • Enterprise Cloud Data warehouse

Deployment Models Covered:

  • Public Cloud
  • Private Cloud
  • Hybrid Cloud

Organization Sizes Covered:

  • Large Enterprises
  • Small and Medium-Sized Enterprises

Usages Covered:

  • Analytics
  • Reporting
  • Data Mining

Applications Covered:

  • Supply Chain Management
  • Customer Analytics
  • Risk And Compliance Management
  • Asset Management
  • Fraud Detection And Threat
  • Other Applications

End-users Covered:

  • Media And Entertainment
  • Manufacturing And Automotive
  • Retail & Ecommerce
  • Healthcare And Life Sciences
  • Government And Public Sector
  • Banking, Financial Services and Insurance (BFSI)
  • 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 Application Analysis
  • 3.7 End User Analysis
  • 3.8 Emerging Markets
  • 3.9 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 Cloud Data Warehouse Market, By Type

  • 5.1 Introduction
  • 5.2 Operational Data Storage
  • 5.3 Enterprise Cloud Data warehouse

6 Global Cloud Data Warehouse Market, By Deployment Model

  • 6.1 Introduction
  • 6.2 Public Cloud
  • 6.3 Private Cloud
  • 6.4 Hybrid Cloud

7 Global Cloud Data Warehouse Market, By Organization Size

  • 7.1 Introduction
  • 7.2 Large Enterprises
  • 7.3 Small and Medium-Sized Enterprises

8 Global Cloud Data Warehouse Market, By Usage

  • 8.1 Introduction
  • 8.2 Analytics
  • 8.3 Reporting
  • 8.4 Data Mining

9 Global Cloud Data Warehouse Market, By Application

  • 9.1 Introduction
  • 9.2 Supply Chain Management
  • 9.3 Customer Analytics
  • 9.4 Risk And Compliance Management
  • 9.5 Asset Management
  • 9.6 Fraud Detection And Threat
  • 9.7 Other Applications

10 Global Cloud Data Warehouse Market, By End User

  • 10.1 Introduction
  • 10.2 Media And Entertainment
  • 10.3 Manufacturing And Automotive
  • 10.4 Retail & Ecommerce
  • 10.5 Healthcare And Life Sciences
  • 10.6 Government And Public Sector
  • 10.7 Banking, Financial Services and Insurance (BFSI)
  • 10.8 Travel And Hospitality
  • 10.9 Other End Users

11 Global Cloud Data Warehouse Market, By Geography

  • 11.1 Introduction
  • 11.2 North America
    • 11.2.1 US
    • 11.2.2 Canada
    • 11.2.3 Mexico
  • 11.3 Europe
    • 11.3.1 Germany
    • 11.3.2 UK
    • 11.3.3 Italy
    • 11.3.4 France
    • 11.3.5 Spain
    • 11.3.6 Rest of Europe
  • 11.4 Asia Pacific
    • 11.4.1 Japan
    • 11.4.2 China
    • 11.4.3 India
    • 11.4.4 Australia
    • 11.4.5 New Zealand
    • 11.4.6 South Korea
    • 11.4.7 Rest of Asia Pacific
  • 11.5 South America
    • 11.5.1 Argentina
    • 11.5.2 Brazil
    • 11.5.3 Chile
    • 11.5.4 Rest of South America
  • 11.6 Middle East & Africa
    • 11.6.1 Saudi Arabia
    • 11.6.2 UAE
    • 11.6.3 Qatar
    • 11.6.4 South Africa
    • 11.6.5 Rest of Middle East & Africa

12 Key Developments

  • 12.1 Agreements, Partnerships, Collaborations and Joint Ventures
  • 12.2 Acquisitions & Mergers
  • 12.3 New Product Launch
  • 12.4 Expansions
  • 12.5 Other Key Strategies

13 Company Profiling

  • 13.1 Amazon Web Services
  • 13.2 Actian Corporation
  • 13.3 Google
  • 13.4 AtScale
  • 13.5 Mark Logic Corporation
  • 13.6 Microsoft Corporation
  • 13.7 Micro Focus
  • 13.8 Hortonworks
  • 13.9 Teradata Corporation
  • 13.10 Netavis GmbH
  • 13.11 Oracle Corporation
  • 13.12 SAP SE
  • 13.13 Veeva Systems Inc.
  • 13.14 Snowflake
  • 13.15 Cloudera
  • 13.16 Pivotal
  • 13.17 Solver

List of Tables

  • Table 1 Global Cloud Data Warehouse Market Outlook, By Region (2021-2030) ($MN)
  • Table 2 Global Cloud Data Warehouse Market Outlook, By Type (2021-2030) ($MN)
  • Table 3 Global Cloud Data Warehouse Market Outlook, By Operational Data Storage (2021-2030) ($MN)
  • Table 4 Global Cloud Data Warehouse Market Outlook, By Enterprise Cloud Data warehouse (2021-2030) ($MN)
  • Table 5 Global Cloud Data Warehouse Market Outlook, By Deployment Model (2021-2030) ($MN)
  • Table 6 Global Cloud Data Warehouse Market Outlook, By Public Cloud (2021-2030) ($MN)
  • Table 7 Global Cloud Data Warehouse Market Outlook, By Private Cloud (2021-2030) ($MN)
  • Table 8 Global Cloud Data Warehouse Market Outlook, By Hybrid Cloud (2021-2030) ($MN)
  • Table 9 Global Cloud Data Warehouse Market Outlook, By Organization Size (2021-2030) ($MN)
  • Table 10 Global Cloud Data Warehouse Market Outlook, By Large Enterprises (2021-2030) ($MN)
  • Table 11 Global Cloud Data Warehouse Market Outlook, By Small and Medium-Sized Enterprises (2021-2030) ($MN)
  • Table 12 Global Cloud Data Warehouse Market Outlook, By Usage (2021-2030) ($MN)
  • Table 13 Global Cloud Data Warehouse Market Outlook, By Analytics (2021-2030) ($MN)
  • Table 14 Global Cloud Data Warehouse Market Outlook, By Reporting (2021-2030) ($MN)
  • Table 15 Global Cloud Data Warehouse Market Outlook, By Data Mining (2021-2030) ($MN)
  • Table 16 Global Cloud Data Warehouse Market Outlook, By Application (2021-2030) ($MN)
  • Table 17 Global Cloud Data Warehouse Market Outlook, By Supply Chain Management (2021-2030) ($MN)
  • Table 18 Global Cloud Data Warehouse Market Outlook, By Customer Analytics (2021-2030) ($MN)
  • Table 19 Global Cloud Data Warehouse Market Outlook, By Risk And Compliance Management (2021-2030) ($MN)
  • Table 20 Global Cloud Data Warehouse Market Outlook, By Asset Management (2021-2030) ($MN)
  • Table 21 Global Cloud Data Warehouse Market Outlook, By Fraud Detection And Threat (2021-2030) ($MN)
  • Table 22 Global Cloud Data Warehouse Market Outlook, By Other Applications (2021-2030) ($MN)
  • Table 23 Global Cloud Data Warehouse Market Outlook, By End User (2021-2030) ($MN)
  • Table 24 Global Cloud Data Warehouse Market Outlook, By Media And Entertainment (2021-2030) ($MN)
  • Table 25 Global Cloud Data Warehouse Market Outlook, By Manufacturing And Automotive (2021-2030) ($MN)
  • Table 26 Global Cloud Data Warehouse Market Outlook, By Retail & Ecommerce (2021-2030) ($MN)
  • Table 27 Global Cloud Data Warehouse Market Outlook, By Healthcare And Life Sciences (2021-2030) ($MN)
  • Table 28 Global Cloud Data Warehouse Market Outlook, By Government And Public Sector (2021-2030) ($MN)
  • Table 29 Global Cloud Data Warehouse Market Outlook, By Banking, Financial Services and Insurance (BFSI) (2021-2030) ($MN)
  • Table 30 Global Cloud Data Warehouse Market Outlook, By Travel And Hospitality (2021-2030) ($MN)
  • Table 31 Global Cloud Data Warehouse 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.