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到 2030 年資料資料倉儲市場預測：按類型、部署模型、組織規模、應用程式、最終用戶和區域進行的全球分析
市場調查報告書
商品編碼
1372041

到 2030 年資料資料倉儲市場預測：按類型、部署模型、組織規模、應用程式、最終用戶和區域進行的全球分析

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個工作天內

價格

根據 Stratistics MRC 預測，2023 年全球雲端資料倉儲市場規模將達到 323.7 億美元，預計到 2030 年將達到 747.6 億美元，預測期內年複合成長率為 12.7%。

雲端資料倉儲是在公有公共雲端中作為託管服務交付的資料庫，針對分析、規模和易用性進行了最佳化。雲端資料倉儲對於處理不斷成長的資料來源是必要的。企業需要以速度和效能連接其 ERP、CRM、社群媒體、支援和行銷資料，以做出資料主導的選擇。現場資料倉儲很難跟上。

快速部署大規模雲端資料倉儲

隨著當今 IT架構的資料量和複雜性不斷成長，組織正在尋求能夠讓他們專注於業務營運而不是IT基礎設施的解決方案。此外，雲端基礎的雲端基礎資料和資料倉儲的採用，使公司能夠遷移關鍵業務業務。此外，企業主現在需要擁抱雲端運算並將其資料倉儲遷移到雲端。這使得企業能夠在短期內維持穩定的商業環境，同時致力於長期成長和市場擴張。

缺乏資源和專業知識

僱用和培訓員工對於實施資料倉儲服務至關重要。預算限制使得一些公司很難吸引新人才，而培訓現有員工往往成本高昂。然而，雲端中最困難的系統之一是資料倉儲，如果沒有必要的專業知識，這是不可能的。企業要成功實施雲端資料倉儲，需要具備雲端架構專業知識、資料系統整合技術知識以及雲端安全和管治知識的員工。因此，資料倉儲服務的市場需求預計將因缺乏訓練有素的資源而受到影響。

人工智慧在資料倉儲中的使用增加

人工智慧和機器學習支援自動最佳化和轉換資料以滿足用戶需求的智慧資料倉儲。公司預計將利用這些技術，最終發展出持續、重複地將資料轉化為價值的能力，從而使自己從競爭對手中脫穎而出，並變得更加敏捷和創新。Masu。此外，它還支援基於機器學習的自動化知識發現、預測和取證分析，以及從海量資料集中自動提取潛在預測資料。因此，將這些技術應用於資料倉儲解決方案預計將在預測期內提供巨大的市場潛力。

缺乏適當的存取控制結構

採用資料倉儲時，定義存取控制框架至關重要。企業經常難以決定哪些使用者和組織需要存取其資料倉儲。然而，如果不平衡用戶和發布權，系統將不可避免地面臨巨大的需求並導致瓶頸。如果沒有適當的存取控制，敏感資料可能會被未經授權的人員訪問，嚴重阻礙市場成長。因此，資料倉儲部署需要明確定義的存取控制機制。

COVID-19 的影響：

COVID-19 的爆發以及隨後世界各國政府實施的封鎖規定對各行業的資本投資產生了嚴重影響。因此，DWaaS（資料倉儲即服務）的全球市場低迷。大多數各行業的公司被迫關閉業務和製造設施。從積極的一面來看，由於病毒的爆發，世界各地的企業正在擁抱雲端運算等尖端最尖端科技並轉向雲端資料倉儲。此外，資料倉儲即服務市場預計將從對遠距工作環境的日益重視中顯著受益。

營運資料儲存領域預計將在預測期內成為最大的領域

預計營運資料儲存領域將在預測期內佔據最大佔有率。對即時資料分析和彙報的需求不斷成長是成長的主要驅動力。在組織中實施營運資料儲存可以完善現有的資料基礎設施，同時滿足組織當前和長期的需求。此外，由於人工智慧在資料倉儲中的廣泛使用，預計 ODS 產業未來將呈現成長前景。雲端資料倉儲市場的公司正在提供尖端的解決方案，以應對資料量的指數成長並滿足法律要求。

銀行、金融服務和保險（BFSI）產業預計在預測期內年複合成長率最高

由於定期產生大量客戶資料， BFSI（銀行、金融服務和保險）領域在全球市場佔據主導地位。由於該行業存在大量結構化和非結構化資料，BFSI 領域的公司依靠資料資料來自動追蹤系統中儲存的資訊的行為和效能。我們需要一個解決方案。此外，您將需要資料來製定產業計畫並提高業務效率。資料倉儲即服務 (DWaaS) 可協助世界各地的金融顧問公司避免更新本地硬體和軟體的挑戰。

佔比最高的地區

預計北美在預測期內將佔據最大佔有率。雲端資料倉儲解決方案等最尖端科技的使用以及與知名地區公司的合併和合作預計將刺激該地區的服務擴張。例如，Snowflake 和 Next Pathway 於 2019 年 10 月建立了合作夥伴關係，以加快舊資料倉儲向 Snowflake 的遷移。此外，由於該地區擁有最先進的資料倉儲基礎設施，預計需求將會增加。分析解決方案正在被全國各地的公司迅速採用，特別是在零售、BFSI 和醫療保健等行業。

複合年複合成長率最高的地區：

由於中國和印度等新興經濟體的技術開發和多個行業的投資不斷增加，預計亞太地區在預測期內將維持最高的年複合成長率。此外，該地區公司降低的營運成本和提高的生產力預計將引起許多全球市場參與企業的高度關注。亞太地區的企業正致力於加強客戶服務，進而提高客戶維繫率。

免費客製化服務：

訂閱此報告的客戶可以存取以下免費自訂選項之一：

  • 公司簡介
    • 其他市場參與者的綜合分析（最多 3 家公司）
    • 主要企業SWOT分析（最多3家企業）
  • 區域分割
    • 根據客戶興趣對主要國家的市場估計、預測和年複合成長率（註：基於可行性檢查）
  • 競爭基準化分析
    • 根據產品系列、地理分佈和策略聯盟對主要企業基準化分析

目錄

第1章 執行摘要

第2章 前言

  • 概述
  • 利害關係人
  • 調查範圍
  • 調查方法
    • 資料探勘
    • 資料分析
    • 資料檢驗
    • 研究途徑
  • 調查來源
    • 主要調查來源
    • 二次調查來源
    • 先決條件

第3章 市場趨勢分析

  • 促進因素
  • 抑制因素
  • 機會
  • 威脅
  • 應用分析
  • 最終用戶分析
  • 新興市場
  • 新型冠狀病毒感染疾病（COVID-19）的影響

第4章 波特五力分析

  • 供應商的議價能力
  • 買方議價能力
  • 替代品的威脅
  • 新進入者的威脅
  • 競爭公司之間的敵對關係

第5章 全球雲端資料倉儲市場：按類型

  • 操作資料存儲
  • 企業雲端資料倉儲

第6章 全球雲端資料倉儲市場：依部署模型

  • 公共雲端
  • 私有雲端
  • 混合雲端

第7章 全球雲端資料倉儲市場：依組織規模

  • 主要企業
  • 中小企業

第8章 全球雲端資料倉儲市場：依應用分類

  • 分析
  • 報告
  • 資料探勘

第9章 全球雲端資料倉儲市場：依應用分類

  • 供應鏈管理
  • 客戶分析
  • 風險與合規管理
  • 資產管理
  • 詐欺偵測和威脅
  • 其他用途

第10章 全球雲端資料倉儲市場：依最終用戶分類

  • 媒體和娛樂
  • 製造業和汽車
  • 零售與電子商務
  • 醫療保健和生命科學
  • 政府和公共部門
  • 銀行、金融服務和保險 (BFSI)
  • 旅遊和招待
  • 其他最終用戶

第11章全球雲端資料倉儲市場：按地區

  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 德國
    • 英國
    • 義大利
    • 法國
    • 西班牙
    • 其他歐洲國家
  • 亞太地區
    • 日本
    • 中國
    • 印度
    • 澳洲
    • 紐西蘭
    • 韓國
    • 其他亞太地區
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 南美洲其他地區
  • 中東和非洲
    • 沙烏地阿拉伯
    • 阿拉伯聯合大公國
    • 卡達
    • 南非
    • 其他中東和非洲

第12章進展

  • 合約、夥伴關係、協作和合資企業
  • 收購和合併
  • 新產品發布
  • 業務擴展
  • 其他關鍵策略

第13章公司簡介

  • 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.