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基於雲的數據庫管理系統市場 - 預測 2023-2028
市場調查報告書
商品編碼
1279595

基於雲的數據庫管理系統市場 - 預測 2023-2028

Cloud Database Management Systems Market - Forecasts from 2023 to 2028
出版日期: | 出版商: Knowledge Sourcing Intelligence | 英文 142 Pages | 商品交期: 最快1-2個工作天內

價格
簡介目錄

基於雲的數據庫管理系統市場預計將從2021年的391.2億美元增長到2028年的1147.36億美元，複合年增長率為16.62%。

雲數據庫管理是除了本地存儲之外或替代本地存儲的一種跨雲平台管理數據的方法。 通過使用雲作為數據存儲層，它可用於恢復、長期存儲、事件管理等。 通過雲數據庫管理，您可以在需要時獲取資源。 雲數據庫是在混合或開放雲基礎設施上運行的數據庫的特定變體，旨在幫助組織管理、分析和存儲數據。 雲數據庫可以作為 DBaaS（數據庫即服務）提供，也可以設置在雲中託管的虛擬機 (VM) 上，並由組織的 IT 員工自行管理。有時是這樣做的。

能夠按需購買資源是雲數據庫管理的一個優勢。 此外，數據可以在本地存儲內以及跨公共雲和私有雲共享。 傳統數據管理系統的作用已被根據 Web 需求定制的基於雲的數據管理系統所取代。 雖然某些平台可以在本地和雲端管理和使用數據，但雲數據庫管理考慮到存儲在每個位置的數據可能由完全不同的規則管理的可能性。 雲數據存儲有自己的安全性和完整性標準。 傳統的數據管理技術可能不適用於雲，因此制定滿足雲特定要求的控制措施非常重要。

雲數據庫提供的技術和經濟優勢正在推動雲數據庫管理系統市場的增長。

員工可以通過雲數據庫管理更加協作地工作，因為雲數據庫可以從任何地方檢索他們需要的數據。 現代雲解決方案通常被認為比本地部署更安全，但基於雲的數據庫管理系統支持及時自動安全升級和補丁。 雲管理系統比典型的數據管理設置更具成本效益，因為它們不需要大量的設備或設置成本。 與任何其他雲系統一樣，它可以根據用戶的需求和要求進行擴展或縮小。 基於雲的數據庫管理系統的可定制性增強，您可以根據組織的要求創建和定制雲數據庫管理服務。 用戶還可以將這些系統配置為在現場、基於雲或結合使用這兩種類型的數據。

亞太地區在雲數據庫管理系統市場中佔有很大份額。

按地區劃分，雲數據庫管理系統市場分為北美、南美、歐洲、中東和非洲以及亞太地區。 北美是全球基於雲的數據庫管理系統市場的主要參與者，因為存在重要的國家和有影響力的公司，鼓勵在與雲數據管理相關的研發和生產改變遊戲規則的創新方面進行財政支出服務市場，它佔有一部分。 此外，該地區小企業的數量不斷增加，有助於市場的穩定擴張。 此外，以降低成本和提高生產力為目的的CMS需求不斷增加，預計亞太地區的雲型數據庫管理系統市場將在預測期內大幅擴大。

內容

第一章簡介

  • 市場概覽
  • 市場定義
  • 調查範圍
  • 市場細分
  • 貨幣
  • 先決條件
  • 基準年和預測年時間表

第 2 章研究方法

  • 調查數據
  • 調查設計

第 3 章執行摘要

  • 調查要點

第四章市場動態

  • 市場驅動因素
  • 市場製約因素
  • 波特五力分析
  • 行業價值鏈分析

第 5 章雲數據庫管理系統市場：按解決方案

  • 簡介
  • 單雲
  • 多雲

第六章基於雲的數據庫管理系統市場：按公司規模劃分

  • 簡介
  • 小型和中型尺寸
  • 大

第七章雲數據庫管理系統市場：按行業

  • 簡介
  • BFSI
  • 醫療保健
  • 零售
  • IT 和電信
  • 製造業
  • 教育
  • 其他

第 8 章基於雲的數據庫管理系統市場：按地區

  • 簡介
  • 北美
    • 美國
    • 加拿大
    • 墨西哥
  • 南美洲
    • 巴西
    • 阿根廷
    • 其他
  • 歐洲
    • 德國
    • 法國
    • 英國
    • 西班牙
    • 其他
  • 中東和非洲
    • 沙特阿拉伯
    • 阿拉伯聯合酋長國
    • 以色列
    • 其他
  • 亞太地區
    • 中國
    • 日本
    • 印度
    • 韓國
    • 印度尼西亞
    • 台灣
    • 其他

第 9 章競爭格局與分析

  • 主要公司及戰略分析
  • 新興公司和市場盈利能力
  • 合併、收購、協議與合作
  • 供應商競爭力矩陣

第 10 章公司簡介

  • Microsoft Corporation
  • Amazon Web Services
  • Oracle
  • IBM
  • SAP SE
  • Alphabet Inc.（Google）
  • MarkLogic Corporation
  • Teradata
  • Snowflake Inc.
  • Redis Labs
  • Databricks
  • Cloudera Inc.
簡介目錄
Product Code: KSI061614592

The cloud database management systems market is projected to grow at a CAGR of 16.62% from US$39.12 billion in 2021 to US$114.736 billion in 2028.

Cloud database management is a method of managing data across cloud platforms, either in addition to or instead of on-premises storage. Using the cloud as a data storage layer can help with restoration, lengthy preservation, and incident management. Resources can be acquired as needed using cloud database management. A cloud database is a specific variant of a database created to work in a blended or open cloud infrastructure and help an organization manage, analyze, and store data. Cloud databases may be made available as managed databases-as-a-service (DBaaS) or may be set up on a virtual machine (VM) hosted in the cloud and self-managed by institutional information system personnel.

The ability to buy resources on demand is a benefit of cloud database management. Additionally, data can be shared within on-premises storage and across public and private clouds. The role of a traditional data management system is assumed by a cloud-based data management system that has been adjusted for web requirements. Although some platforms can manage and use data in both on-premises and cloud contexts, cloud database management takes into account the possibility that data stored in each location may be governed by entirely different sets of rules. Cloud data storage has its own security and integrity standards. Having management in place created for the cloud's specific requirements is crucial as traditional data management techniques might not apply to the cloud.

The technological and financial advantages offered by cloud databases have significantly fuelled the growth of the cloud database management systems market.

With the possibility to retrieve the data they require from any location, employees can work more collaboratively due to cloud database management. Modern cloud solutions, which are sometimes thought of as more secure than on-premise deployments, are timely supported by automated security upgrades and patches owing to cloud database management systems. Cloud management systems are far more cost-effective than a typical data management setup as they do not require significant upfront equipment or setup expenses. The system also allows users to increase and decrease the scale in accordance with their needs and requirements, just like any other cloud system. The improved customization of cloud database management systems ensures that the organizational requirements can be taken into account while creating and customizing cloud database management services. Users can also set up these systems to work on-site, cloud-based, or a combination of both types of data.

Recent Developments

  • In January 2023, The United States Postal Service (USPS) signed a three-year contract with Veritas Technologies to further bolster its legislative, data compliance posture, and eDiscovery capabilities using Veritas Enterprise Vault, Merge1, and eDiscovery Platform. The deal might be worth up to US$70 million if the contract is extended for a further seven years. The USPS intends to adopt automatic data storage and preservation across all on-premises and cloud-based data sets, including cloud collaboration tools, using Veritas' technology. This will enable the company to determine the location of each data asset's resilience in the environment. Instead of relying on separate data management systems, the USPS is putting itself in a better position to defend against threats to consumer data by investing in a unified data management platform that improves data resilience throughout the cloud. By capturing and archiving data, whether it's on-premises or in the cloud, Veritas Enterprise Vault will enable USPS to simplify operations. Compliance officers and legal professionals can carry out security breach probes and react to regulatory orders to locate critical resolution files using the Veritas eDiscovery platform.
  • In September 2022, Kafkawize Technology Solutions was acquired by Aiven Ltd., a firm that offers managed cloud versions of open-source data management solutions. Aiven received US$210 million in capital a few months prior to the acquisition from a group of significant investors that included BlackRock, Salesforce Ventures, and others. The Series D fundraising deal valued Aiven Ltd. at over US$3 billion. The same-named open-source program is offered by Kafkawize. The program facilitates the adoption of Apache Kafka, an open-source platform that aids businesses in transferring data among various applications.

The Asia Pacific region holds a substantial market share in the cloud database management systems market.

Based on geography, the cloud database management systems market is segmented into North America, South America, Europe, the Middle East and Africa, and Asia Pacific. Due to the existence of significant countries and influential businesses that encourage financial expenditures in R&D initiatives and the production of revolutionary innovations associated with the cloud data management services market, North America accounts for a sizeable portion of the global market for cloud database management systems. Additionally, the region's growing number of small firms has contributed to the market's steady expansion. The growing demand for CMS across numerous industrial verticals to reduce costs and boost staff productivity is also anticipated to result in a significant increase in the Asia-Pacific cloud database management systems market during the projected period.

Market Segmentation

By Solution

  • Single Cloud
  • Multi Cloud

By Enterprise Size

  • Small and Medium
  • Large

By Industry Vertical

  • BFSI
  • Healthcare
  • Retail
  • IT and Telecom
  • Manufacturing
  • Education
  • Others

By Geography

  • North America
    • USA
    • Canada
    • Mexico
  • South America
    • Brazil
    • Argentina
    • Others
  • Europe
    • Germany
    • France
    • United Kingdom
    • Spain
    • Others
  • Middle East And Africa
    • Saudi Arabia
    • UAE
    • Israel
    • Other
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Indonesia
    • Taiwan
    • Others

TABLE OF CONTENTS

1. INTRODUCTION

  • 1.1. Market Overview
  • 1.2. Market Definition
  • 1.3. Scope of the Study
  • 1.4. Market Segmentation
  • 1.5. Currency
  • 1.6. Assumptions
  • 1.7. Base and Forecast Years Timeline

2. RESEARCH METHODOLOGY

  • 2.1. Research Data
  • 2.2. Research Design

3. EXECUTIVE SUMMARY

  • 3.1. Research Highlights

4. MARKET DYNAMICS

  • 4.1. Market Drivers
  • 4.2. Market Restraints
  • 4.3. Porter's Five Forces Analysis
    • 4.3.1. Bargaining Power of Suppliers
    • 4.3.2. Bargaining Power of Buyers
    • 4.3.3. Threat of New Entrants
    • 4.3.4. Threat of Substitutes
    • 4.3.5. Competitive Rivalry in the Industry
  • 4.4. Industry Value Chain Analysis

5. CLOUD DATABASE MANAGEMENT SYSTEMS MARKET BY SOLUTION

  • 5.1. Introduction
  • 5.2. Single Cloud
  • 5.3. Multi Cloud

6. CLOUD DATABASE MANAGEMENT SYSTEMS MARKET BY ENTERPRISE SIZE

  • 6.1. Introduction
  • 6.2. Small and Medium
  • 6.3. Large

7. CLOUD DATABASE MANAGEMENT SYSTEMS MARKET BY INDUSTRY VERTICAL

  • 7.1. Introduction
  • 7.2. BFSI
  • 7.3. Healthcare
  • 7.4. Retail
  • 7.5. IT and Telecom
  • 7.6. Manufacturing
  • 7.7. Education
  • 7.8. Others

8. CLOUD DATABASE MANAGEMENT SYSTEMS MARKET BY GEOGRAPHY

  • 8.1. Introduction
  • 8.2. North America
    • 8.2.1. USA
    • 8.2.2. Canada
    • 8.2.3. Mexico
  • 8.3. South America
    • 8.3.1. Brazil
    • 8.3.2. Argentina
    • 8.3.3. Others
  • 8.4. Europe
    • 8.4.1. Germany
    • 8.4.2. France
    • 8.4.3. United Kingdom
    • 8.4.4. Spain
    • 8.4.5. Others
  • 8.5. Middle East And Africa
    • 8.5.1. Saudi Arabia
    • 8.5.2. UAE
    • 8.5.3. Israel
    • 8.5.4. Other
  • 8.6. Asia Pacific
    • 8.6.1. China
    • 8.6.2. Japan
    • 8.6.3. India
    • 8.6.4. South Korea
    • 8.6.5. Indonesia
    • 8.6.6. Taiwan
    • 8.6.7. Others

9. COMPETITIVE ENVIRONMENT AND ANALYSIS

  • 9.1. Major Players and Strategy Analysis
  • 9.2. Emerging Players and Market Lucrativeness
  • 9.3. Mergers, Acquisition, Agreements, and Collaborations
  • 9.4. Vendor Competitiveness Matrix

10. COMPANY PROFILES

  • 10.1. Microsoft Corporation
  • 10.2. Amazon Web Services
  • 10.3. Oracle
  • 10.4. IBM
  • 10.5. SAP SE
  • 10.6. Alphabet Inc. (Google)
  • 10.7. MarkLogic Corporation
  • 10.8. Teradata
  • 10.9. Snowflake Inc.
  • 10.10. Redis Labs
  • 10.11. Databricks
  • 10.12. Cloudera Inc.