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雲端資料庫和 DBaaS 市場 - 全球產業規模、佔有率、趨勢、機會和預測，按資料庫類型、元件、最終用途產業、企業規模、部署、地區、競爭細分，2018-2028 年
市場調查報告書
商品編碼
1379718

雲端資料庫和 DBaaS 市場 - 全球產業規模、佔有率、趨勢、機會和預測，按資料庫類型、元件、最終用途產業、企業規模、部署、地區、競爭細分，2018-2028 年

Cloud Database and DBaaS Market - Global Industry Size, Share, Trends, Opportunity, and Forecast, Segmented By Database Type, By Component, By End-use Industry, By Enterprise Size, By Deployment, By Region, By Competition, 2018-2028
出版日期: | 出版商: TechSci Research | 英文 178 Pages | 商品交期: 2-3個工作天內

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簡介目錄

2022 年全球雲端資料庫和 DBaaS 市場價值為 145 億美元，預計到 2028 年預測期內將實現強勁成長，複合CAGR為 15.8%。全球雲端資料庫和資料庫即服務 (DBaaS) 市場目前正在經歷變革對靈活、可擴展的資料管理解決方案不斷成長的需求推動了這一非凡的轉變。世界各地的組織正在認知到將資料操作遷移到雲端的優勢，因為它使他們能夠簡化資料庫管理、降低基礎設施成本並提高可存取性。基於雲端的資料庫和 DBaaS 供應商提供一系列服務，包括資料儲存、處理和分析，所有服務都託管在雲端平台上。這種轉變使企業能夠專注於核心營運，同時將複雜的資料庫管理工作留給專家服務提供者。

主要市場促進因素

市場概況
預測期 2024-2028
2022 年市場規模 145億美元
2028 年市場規模 367.1億美元
2023-2028 年CAGR 15.8%
成長最快的細分市場 NoSQL 資料庫
最大的市場 北美洲

雲端運算的快速採用

由於雲端運算的快速採用，全球雲端資料庫和 DBaaS 市場正在經歷顯著成長。與傳統的本地資料庫相比，雲端資料庫具有許多優勢，例如可擴展性、靈活性和成本效益。組織擴大將資料遷移到雲端，以利用這些優勢並提高營運效率。雲端資料庫消除了組織投資昂貴的硬體和基礎設施的需要，因為他們可以根據自己的需求輕鬆擴展或縮減資料庫資源。這種可擴展性使組織能夠處理大量資料並適應波動的工作負載而不會造成任何中斷。此外，雲端資料庫提供增強的資料安全和災難復原功能，確保組織的資料始終受到保護和可存取。隨著越來越多的組織認知到雲端資料庫的優勢，對DBaaS等雲端資料庫服務的需求預計將大幅成長。

對資料管理和分析的需求不斷增加

組織產生的資料呈指數級成長，迫切需要高效的資料管理和分析解決方案。雲端資料庫和 DBaaS 平台為組織提供了有效儲存、管理和分析資料的工具和基礎設施。這些解決方案提供先進的資料管理功能，例如資料整合、資料清理和資料治理，使組織能夠在其營運中保持資料品質和一致性。此外，雲端資料庫提供內建分析功能，使組織能夠從資料中獲得有價值的見解並做出資料驅動的決策。對大型資料集執行即時分析的能力對於金融、醫療保健和電子商務等行業的組織尤其有價值，這些行業的及時洞察可以推動競爭優勢。隨著組織越來越認知到資料管理和分析的重要性，對雲端資料庫和 DBaaS 解決方案的需求預計將激增。

越來越重視成本最佳化

成本最佳化是採用雲端資料庫和 DBaaS 解決方案的關鍵驅動力。傳統的本地資料庫需要在硬體、軟體許可證和 IT 基礎架構方面進行大量前期投資。相較之下，雲端資料庫和 DBaaS 平台提供按需付費的定價模式，允許組織只需為其消耗的資源付費。這消除了大量前期投資的需要，並為組織提供了更大的靈活性和成本控制。此外，雲端資料庫消除了與維護和升級硬體和軟體相關的成本，因為這些責任由雲端服務供應商負責。組織還可以從規模經濟中受益，因為雲端服務供應商可以跨多個客戶端利用其基礎設施和資源，從而降低各個組織的成本。與雲端資料庫和 DBaaS 解決方案相關的成本節省使其成為尋求最佳化 IT 預算和降低營運費用的組織的有吸引力的選擇。

日益關注資料安全和合規性

資料安全性和合規性是組織選擇資料庫解決方案時的關鍵考慮因素。雲端資料庫和 DBaaS 平台提供強大的安全功能和合規性認證，確保組織的資料受到保護並滿足監管要求。雲端服務供應商在加密、存取控制和威脅偵測等安全措施上投入巨資，以保護客戶的資料。此外，雲端資料庫提供內建的備份和災難復原功能，最大限度地降低資料遺失的風險並確保業務連續性。雲端服務供應商也會定期接受審核和認證，以證明其符合行業標準和法規，例如 GDPR 和 HIPAA。對資料安全性和合規性的關注正在推動組織採用雲端資料庫和 DBaaS 解決方案，因為它們為其資料提供了安全且合規的環境。

巨量資料和物聯網技術的出現

大資料和物聯網技術的出現推動了對雲端資料庫和 DBaaS 解決方案的需求。大資料分析要求組織處理和分析來自社群媒體、感測器和交易系統等各種來源的大量資料。雲端資料庫提供有效處理大資料工作負載所需的可擴充性和處理能力。此外，物聯網設備會產生大量需要即時收集、儲存和分析的資料。雲端資料庫和 DBaaS 平台提供了必要的基礎架構和工具來有效管理物聯網資料並獲得可行的見解。處理大資料和物聯網工作負載的能力是組織採用雲端資料庫和 DBaaS 解決方案的關鍵驅動力，因為它們使組織能夠利用這些技術的力量並釋放其全部潛力。

主要市場挑戰

複雜的遷移過程

全球雲端資料庫和資料庫即服務 (DBaaS) 市場中的組織面臨的一個重大挑戰是將本地資料庫遷移到雲端的複雜性。遷移大量敏感資料，同時確保資料完整性和安全性可能是一項艱鉅的任務。成功的遷移需要仔細的規劃、專業知識和協調。組織經常努力做出選擇正確的遷移策略的決定，例如重新託管、重構或重建資料庫，這可能會產生成本和時間影響。克服這些遷移挑戰需要全面了解組織的資料環境以及由強大的工具和資源支援的明確的遷移策略。

資料安全與合規性

確保資料安全並符合法規是雲端資料庫和 DBaaS 市場中持續存在的挑戰。在雲端儲存資料會引發對資料外洩、未經授權的存取以及遵守 GDPR 和 HIPAA 等資料保護法律的擔憂。組織需要實施嚴格的安全措施、加密協定和存取控制來保護其資料。遵守特定行業法規會增加複雜性，因為不同行業有獨特的資料處理要求。應對這些挑戰需要採取全面的資料安全方法，包括定期審核、監控和主動威脅偵測，以降低風險並維持合規性。

可擴充性和成本管理

雖然可擴展性是雲端資料庫和 DBaaS 的關鍵優勢，但它也帶來了與成本管理相關的挑戰。組織需要在根據需求增加或減少資源和最佳化成本之間取得平衡。過度配置可能會導致不必要的開支，而配置不足可能會導致效能問題。有效的成本管理涉及持續監控資源利用率、採用自動擴展機制以及利用雲端服務供應商提供的成本最佳化工具。組織還必須注意隱性成本，例如資料傳輸和出口費用，這些成本可能會顯著影響總擁有成本。

供應商鎖定

供應商鎖定是使用雲端資料庫服務的組織所關心的問題。一旦資料遷移到特定雲端供應商的生態系統，轉換到另一個提供者可能會充滿挑戰且成本高昂。組織可能會感到自己的服務選擇和定價模型受到限制，從而限制了靈活性。減輕供應商鎖定涉及採用多雲或混合雲策略，其中資料和應用程式分佈在多個雲端供應商之間，從而減少對單一供應商的依賴。此外，如果需要，利用開放標準和容器化技術可以促進雲端提供者之間的更順利過渡。

主要市場趨勢

可擴展性和靈活性推動雲端資料庫解決方案的採用

全球雲端資料庫和 DBaaS 市場的關鍵驅動力之一是這些解決方案提供的可擴展性和靈活性。雲端資料庫可以根據組織不斷變化的需求輕鬆擴展或縮小，使它們能夠處理不同的工作負載並適應資料成長。這種可擴展性確保組織可以有效地管理其資料庫，而無需擔心容量限制。

此外，雲端資料庫解決方案可讓組織根據其特定要求選擇最合適的資料庫管理系統（DBMS），從而提供靈活性。無論是關聯式資料庫、NoSQL 資料庫或專用資料庫，組織都可以利用雲端資料庫的靈活性來選擇符合其資料管理需求的正確解決方案。

安全性和合規性問題推動了對雲端 DBaaS 的需求

安全性和合規性是組織在管理資料庫時的關鍵考慮因素。雲端 DBaaS 供應商提供強大的安全措施和合規框架，以確保敏感資料的保護和隱私。這些提供者在先進的安全技術、加密、存取控制和定期安全審核方面投入巨資，以降低資料外洩和未經授權的存取的風險。

此外，雲端DBaaS解決方案提供內建資料複製和備份功能，確保資料持久性和災難復原。此功能讓組織高枕無憂，因為他們知道資料已安全存儲，並且在發生任何不可預見的事件時可以輕鬆恢復。

人工智慧與機器學習的融合

與雲端資料庫和DBaaS（WAF）市場類似，將人工智慧（AI）和機器學習（ML）技術整合到雲端資料庫和DBaaS解決方案中是一個重要趨勢。人工智慧和機器學習演算法可以分析大量資料、識別模式，並為最佳化資料庫效能、改進查詢執行和自動化日常資料庫管理任務提供有價值的見解。

透過利用 AI 和 ML 功能，雲端資料庫和 DBaaS 供應商可以提供自動效能調整、預測分析和異常檢測等智慧功能。這些先進技術提高了資料庫操作的效率和可靠性，使組織能夠做出數據驅動的決策並最佳化其整體業務績效。

細分市場洞察

組件洞察

在組件方面，市場進一步細分為解決方案和服務。此解決方案部分進一步分為資料庫管理和儲存。 2022 年，解決方案領域的收入佔有率最大，為 54.3%，預計在預測期內將繼續主導該產業。解決方案部分是指雲端資料庫和 DBaaS 供應商為其客戶提供的一系列產品，以滿足他們的特定資料庫需求。解決方案部分包括許多服務，例如資料遷移、備份和復原、效能調整、安全性和可擴展性。這些服務可協助企業最佳化其資料庫基礎架構、降低成本並提高效率。

雲端資料庫和 DBaaS 供應商為其客戶提供各種解決方案，從主資料庫託管到進階分析和資料管理服務。預計服務領域在預測期內將出現 17.3% 的最高成長率。服務部分分為專業服務和託管服務。市場是指幫助組織實施、管理和最佳化其雲端資料庫的供應商產品。這些服務還包括諮詢、支援、培訓、遷移以及持續維護和監控。

諮詢服務可以幫助組織確定哪種類型的雲端資料庫或 DBaaS 解決方案最適合其需求，並提供有關實施並將其與現有系統整合的指導。支援服務對於確保快速有效地解決資料庫的任何問題至關重要。培訓服務可以幫助組織加快使用和最佳化其雲端資料庫的速度，而遷移服務可以幫助他們將現有資料遷移到雲端。

部署見解

根據部署，全球市場分為公共、私有和混合。到 2022 年，混合細分市場將佔據最大的收入佔有率，達到 47.8%。混合雲資料庫的採用變得越來越流行，因為它為企業提供了使用本地資料庫和基於雲端的資料庫的靈活性。這種混合方法使公司能夠利用基於雲端的資料庫的優勢，例如可擴展性和成本節約，同時仍保持對其敏感資料的控制並遵守資料主權法規。此外，混合雲資料庫為希望保持對其敏感資料的控制同時又利用基於雲端的資料庫的優勢的企業提供了靈活且經濟高效的解決方案。

隨著混合雲資料庫的日益普及，預計將在預測期內推動市場發展。另一方面，私有雲領域預計在預測期內CAGR最高，達到 19.2%。私有雲端基礎架構為儲存、處理和管理資料提供了專用且隔離的環境。可以客製化和最佳化私有雲資料庫，以滿足組織的特定需求和要求，例如效能、可擴展性、可用性和災難復原。因此，預計這些因素將在預測期內推動該細分市場的成長。

企業規模洞察

根據企業規模，全球市場分為中小企業（SME）和大型企業。 2022 年，大型企業細分市場佔據最大收入佔有率，達到 53.0%，預計在預測期內將維持此地位。由於數位化的快速加速，大型企業正在透過遷移到雲端資料庫解決方案來獲得顯著的競爭優勢。大型組織通常有複雜多樣的資料需求，這對於使用傳統的本地資料庫進行管理可能具有挑戰性。雲端資料庫提供幾乎無限的可擴展性，使組織能夠隨著資料需求隨著時間的推移而增加，快速、有效率、輕鬆地添加更多儲存容量或處理能力。這意味著他們可以避免維護本地基礎設施的成本和複雜性。

2022 年 12 月，雲端原生分散式 SQL 資料庫公司 Cockroach Labs 與獨立技術和服務供應商 Computacenter plc 合作，以增強和促進雲端原生技術的廣泛利用。這種協作使大型企業能夠簡化遷移、自動化手動任務並提高有效性和效率。另一方面，中小企業領域預計在預測期內CAGR最高，達 17.2%。中小企業擴大採用雲端資料庫和資料庫即服務 (DBaaS) 解決方案。雲端資料庫和 DBaaS 解決方案可以為中小企業提供一種經濟高效、可擴展且可靠的資料管理方式，而無需昂貴的本地基礎設施。雲端資料庫和 DBaaS 對中小企業的主要好處之一是它可以提供一種更具成本效益的方式來管理資料。

區域洞察

2022 年，北美以 35.1% 的佔有率主導市場，預計在預測期內將佔據主導地位。近年來，北美地區對雲端資料庫的需求大幅成長。這種成長是由多種因素推動的，包括各行業擴大採用基於雲端的技術以及大資料和分析的興起。此外，雲端運算的擴展是推動該地區雲端資料庫成長的主要因素之一。隨著越來越多的企業遷移到雲端，對基於雲端的資料儲存解決方案的需求不斷成長。

該地區的組織正在推出其雲端資料庫解決方案的最新更新，以獲得相對於競爭對手的競爭優勢。例如，2022年10月，Nutanix宣布推出其Nutanix Cloud Cluster混合雲元件的最新更新，該元件允許組織在Microsoft Azure上運行Nutanix雲端平台軟體。 NC2 是一個混合多雲端系統，同時支援 AWS 和 Azure 雲端。它使運行企業應用程式的消費者 VNet 能夠快速利用 Azure 服務。預計亞太地區在預測期內將以 19.3% 的最高CAGR成長。

該區域市場受到雲端運算公司投資增加的推動。例如，2022年9月，阿里巴巴雲端運算子公司阿里雲宣布計畫投資10億美元，幫助客戶採用雲端運算解決方案，重振成長並鞏固公司的市場地位。這項投資特別著重於為各行業的客戶提供雲端運算服務，包括資料儲存、人工智慧 (AI) 和分析功能。此舉正值中國和全球雲端運算市場競爭激烈之際，騰訊、華為科技有限公司和亞馬遜網路服務公司等科技巨頭爭奪市場佔有率。

目錄

第 1 章：產品概述

  • 市場定義
  • 市場範圍
    • 涵蓋的市場
    • 研究年份
    • 主要市場區隔

第 2 章：研究方法

  • 研究目的
  • 基線方法
  • 範圍的製定
  • 假設和限制
  • 研究來源
    • 二次研究
    • 初步研究
  • 市場研究方法
    • 自下而上的方法
    • 自上而下的方法
  • 計算市場規模和市場佔有率所遵循的方法
  • 預測方法
    • 數據三角測量與驗證

第 3 章：執行摘要

第 4 章：COVID-19 對全球雲端資料庫和 DBaaS 市場的影響

第 5 章：客戶之聲

第 6 章：全球雲端資料庫與 DBaaS 市場概述

第 7 章：全球雲端資料庫與 DBaaS 市場展望

  • 市場規模及預測
    • 按價值
  • 市佔率及預測
    • 依資料庫類型（NoSQL、關聯式資料庫）
    • 按組件（解決方案、服務）
    • 依最終用途產業（IT 和電信、BFSI、醫療保健、政府和公共部門、製造業、汽車、零售和消費品、媒體和娛樂、其他）
    • 依企業規模（大型企業、中小型企業（SME））
    • 按部署（公有、私有、混合）
    • 按地區（北美、歐洲、南美、中東和非洲、亞太地區）
  • 按公司分類 (2022)
  • 市場地圖

第 8 章：北美雲端資料庫與 DBaaS 市場展望

  • 市場規模及預測
    • 按價值
  • 市佔率及預測
    • 依資料庫類型
    • 按組件
    • 按最終用途行業
    • 按企業規模
    • 按部署
    • 按國家/地區
  • 北美：國家分析
    • 美國
    • 加拿大
    • 墨西哥

第 9 章：歐洲雲端資料庫與 DBaaS 市場展望

  • 市場規模及預測
    • 按價值
  • 市佔率及預測
    • 依資料庫類型
    • 按組件
    • 按最終用途行業
    • 按企業規模
    • 按部署
    • 按國家/地區
  • 歐洲：國家分析
    • 德國
    • 法國
    • 英國
    • 義大利
    • 西班牙
    • 比利時

第 10 章：南美洲雲端資料庫與 DBaaS 市場展望

  • 市場規模及預測
    • 按價值
  • 市佔率及預測
    • 依資料庫類型
    • 按組件
    • 按最終用途行業
    • 按企業規模
    • 按部署
    • 按國家/地區
  • 南美洲：國家分析
    • 巴西
    • 哥倫比亞
    • 阿根廷
    • 智利
    • 秘魯

第 11 章：中東和非洲雲端資料庫和 DBaaS 市場展望

  • 市場規模及預測
    • 按價值
  • 市佔率及預測
    • 依資料庫類型
    • 按組件
    • 按最終用途行業
    • 按企業規模
    • 按部署
    • 按國家/地區
  • 中東和非洲：國家分析
    • 沙烏地阿拉伯
    • 阿拉伯聯合大公國
    • 南非
    • 土耳其
    • 以色列

第 12 章：亞太地區雲端資料庫與 DBaaS 市場展望

  • 市場規模及預測
    • 依資料庫類型
    • 按組件
    • 按最終用途行業
    • 按企業規模
    • 按部署
    • 按國家/地區
  • 亞太地區：國家分析
    • 中國雲端資料庫和DBaaS
    • 印度雲端資料庫和 DBaaS
    • 日本雲端資料庫和 DBaaS
    • 韓國雲端資料庫和 DBaaS
    • 澳洲雲端資料庫和 DBaaS
    • 印尼雲端資料庫和 DBaaS
    • 越南雲端資料庫和 DBaaS

第 13 章：市場動態

  • 促進要素
  • 挑戰

第 14 章：市場趨勢與發展

第 15 章：公司簡介

  • 谷歌有限責任公司
    • Business Overview
    • Key Revenue and Financials
    • Recent Developments
    • Key Personnel/Key Contact Person
    • Key Product/Services Offered
  • 努塔尼克斯
    • Business Overview
    • Key Revenue and Financials
    • Recent Developments
    • Key Personnel/Key Contact Person
    • Key Product/Services Offered
  • 甲骨文公司
    • Business Overview
    • Key Revenue and Financials
    • Recent Developments
    • Key Personnel/Key Contact Person
    • Key Product/Services Offered
  • IBM公司
    • Business Overview
    • Key Revenue and Financials
    • Recent Developments
    • Key Personnel/Key Contact Person
    • Key Product/Services Offered
  • SAP系統公司
    • Business Overview
    • Key Revenue and Financials
    • Recent Developments
    • Key Personnel/Key Contact Person
    • Key Product/Services Offered
  • 亞馬遜網路服務公司
    • Business Overview
    • Key Revenue and Financials
    • Recent Developments
    • Key Personnel/Key Contact Person
    • Key Product/Services Offered
  • 阿里雲
    • Business Overview
    • Key Revenue and Financials
    • Recent Developments
    • Key Personnel/Key Contact Person
    • Key Product/Services Offered
  • MongoDB 公司
    • Business Overview
    • Key Revenue and Financials
    • Recent Developments
    • Key Personnel/Key Contact Person
    • Key Product/Services Offered
  • 微軟公司
    • Business Overview
    • Key Revenue and Financials
    • Recent Developments
    • Key Personnel/Key Contact Person
    • Key Product/Services Offered
  • 泰拉數據
    • Business Overview
    • Key Revenue and Financials
    • Recent Developments
    • Key Personnel/Key Contact Person
    • Key Product/Services Offered
  • Ninox 軟體有限公司
    • Business Overview
    • Key Revenue and Financials
    • Recent Developments
    • Key Personnel/Key Contact Person
    • Key Product/Services Offered
  • 數據統計
    • Business Overview
    • Key Revenue and Financials
    • Recent Developments
    • Key Personnel/Key Contact Person
    • Key Product/Services Offered

第 16 章：策略建議

第 17 章：關於我們與免責聲明

簡介目錄
Product Code: 16950

Global Cloud Database and DBaaS Market has valued at USD 14.5 Billion in 2022 and is anticipated to project robust growth in the forecast period with a CAGR of 15.8% through 2028. The Global Cloud Database and Database as a Service (DBaaS) Market is currently undergoing a remarkable transformation, driven by the escalating demand for flexible and scalable data management solutions. Organizations around the world are recognizing the advantages of migrating their data operations to the cloud, as it enables them to streamline their database management, reduce infrastructure costs, and improve accessibility. Cloud-based databases and DBaaS providers offer a range of services, including data storage, processing, and analytics, all hosted on cloud platforms. This shift allows businesses to focus on their core operations while leaving the intricacies of database management to expert service providers.

Furthermore, the global proliferation of data, fueled by the Internet of Things (IoT) and Big Data analytics, has led to an exponential growth in data storage needs. Cloud databases offer the scalability required to accommodate this data deluge. They also provide real-time data access from anywhere with an internet connection, facilitating remote work and enhancing collaboration. Additionally, the market is witnessing increased adoption in sectors such as finance, healthcare, e-commerce, and manufacturing, as they leverage cloud databases to streamline their operations, enhance customer experiences, and gain data-driven insights. With the continuous evolution of cloud technology and a growing recognition of its benefits, the Global Cloud Database and DBaaS Market is expected to sustain its upward trajectory in the coming years, promising improved data management and operational efficiency for businesses worldwide.

Key Market Drivers

Market Overview
Forecast Period2024-2028
Market Size 2022USD 14.5 Billion
Market Size 2028USD 36.71 Billion
CAGR 2023-202815.8%
Fastest Growing SegmentNoSQL databases
Largest MarketNorth America

Rapid Adoption of Cloud Computing

The global cloud database and DBaaS market is experiencing significant growth due to the rapid adoption of cloud computing. Cloud databases offer numerous advantages over traditional on-premises databases, such as scalability, flexibility, and cost-effectiveness. Organizations are increasingly migrating their data to the cloud to leverage these benefits and improve their operational efficiency. Cloud databases eliminate the need for organizations to invest in expensive hardware and infrastructure, as they can easily scale their database resources up or down based on their requirements. This scalability allows organizations to handle large volumes of data and accommodate fluctuating workloads without any disruptions. Additionally, cloud databases offer enhanced data security and disaster recovery capabilities, ensuring that organizations' data is always protected and accessible. As more organizations recognize the advantages of cloud databases, the demand for cloud database services, such as DBaaS, is expected to grow significantly.

Increasing Need for Data Management and Analytics

The exponential growth of data generated by organizations has created a pressing need for efficient data management and analytics solutions. Cloud databases and DBaaS platforms provide organizations with the tools and infrastructure to store, manage, and analyze their data effectively. These solutions offer advanced data management features, such as data integration, data cleansing, and data governance, which enable organizations to maintain data quality and consistency across their operations. Moreover, cloud databases provide built-in analytics capabilities, allowing organizations to derive valuable insights from their data and make data-driven decisions. The ability to perform real-time analytics on large datasets is particularly valuable for organizations in industries such as finance, healthcare, and e-commerce, where timely insights can drive competitive advantage. As organizations increasingly recognize the importance of data management and analytics, the demand for cloud database and DBaaS solutions is expected to surge.

Growing Emphasis on Cost Optimization

Cost optimization is a key driver for the adoption of cloud database and DBaaS solutions. Traditional on-premises databases require significant upfront investments in hardware, software licenses, and IT infrastructure. In contrast, cloud databases and DBaaS platforms offer a pay-as-you-go pricing model, allowing organizations to pay only for the resources they consume. This eliminates the need for large upfront investments and provides organizations with greater flexibility and cost control. Additionally, cloud databases eliminate the costs associated with maintaining and upgrading hardware and software, as these responsibilities are handled by the cloud service provider. Organizations can also benefit from economies of scale, as cloud service providers can leverage their infrastructure and resources across multiple clients, resulting in lower costs for individual organizations. The cost savings associated with cloud databases and DBaaS solutions make them an attractive option for organizations looking to optimize their IT budgets and reduce operational expenses.

Increasing Focus on Data Security and Compliance

Data security and compliance are critical considerations for organizations when choosing a database solution. Cloud databases and DBaaS platforms offer robust security features and compliance certifications, ensuring that organizations' data is protected and meets regulatory requirements. Cloud service providers invest heavily in security measures, such as encryption, access controls, and threat detection, to safeguard their clients' data. Additionally, cloud databases provide built-in backup and disaster recovery capabilities, minimizing the risk of data loss and ensuring business continuity. Cloud service providers also undergo regular audits and certifications to demonstrate their compliance with industry standards and regulations, such as GDPR and HIPAA. The focus on data security and compliance is driving organizations to adopt cloud database and DBaaS solutions, as they provide a secure and compliant environment for their data.

Emergence of Big Data and IoT Technologies

The emergence of big data and IoT technologies is fueling the demand for cloud database and DBaaS solutions. Big data analytics requires organizations to process and analyze massive volumes of data from various sources, such as social media, sensors, and transactional systems. Cloud databases provide the scalability and processing power required to handle big data workloads efficiently. Additionally, IoT devices generate vast amounts of data that need to be collected, stored, and analyzed in real-time. Cloud databases and DBaaS platforms offer the necessary infrastructure and tools to manage IoT data effectively and derive actionable insights. The ability to handle big data and IoT workloads is a key driver for organizations to adopt cloud database and DBaaS solutions, as they enable organizations to harness the power of these technologies and unlock their full potential.

Key Market Challenges

Complex Migration Processes

A significant challenge faced by organizations in the Global Cloud Database and Database as a Service (DBaaS) Market is the complexity associated with migrating their on-premises databases to the cloud. Migrating large volumes of sensitive data while ensuring data integrity and security can be a daunting task. It requires careful planning, expertise, and coordination to execute a successful migration. Organizations often grapple with the decision of choosing the right migration strategy, such as rehosting, refactoring, or rebuilding their databases, which can have cost and time implications. Overcoming these migration challenges necessitates a thorough understanding of the organization's data landscape and a well-defined migration strategy supported by robust tools and resources.

Data Security and Compliance

Ensuring data security and compliance with regulations is a persistent challenge in the cloud database and DBaaS market. Storing data in the cloud introduces concerns about data breaches, unauthorized access, and compliance with data protection laws like GDPR and HIPAA. Organizations need to implement stringent security measures, encryption protocols, and access controls to safeguard their data. Achieving compliance with industry-specific regulations adds complexity, as different sectors have unique data handling requirements. Navigating these challenges requires a comprehensive approach to data security, including regular audits, monitoring, and proactive threat detection to mitigate risks and maintain compliance.

Scalability and Cost Management

While scalability is a key advantage of cloud databases and DBaaS, it also presents challenges related to cost management. Organizations need to strike a balance between scaling resources up or down based on demand and optimizing costs. Overprovisioning can lead to unnecessary expenses, while underprovisioning can result in performance issues. Effective cost management involves continuous monitoring of resource utilization, employing auto-scaling mechanisms, and leveraging cost-optimization tools provided by cloud service providers. Organizations must also be mindful of hidden costs, such as data transfer and egress fees, which can significantly impact the total cost of ownership.

Vendor Lock-In

Vendor lock-in is a concern for organizations using cloud database services. Once data is migrated to a specific cloud provider's ecosystem, transitioning to another provider can be challenging and costly. Organizations may feel restricted in their choice of services and pricing models, limiting flexibility. Mitigating vendor lock-in involves adopting a multi-cloud or hybrid cloud strategy, where data and applications are distributed across multiple cloud providers, reducing dependency on a single vendor. Additionally, leveraging open standards and containerization technologies can facilitate smoother transitions between cloud providers if needed.

Key Market Trends

Scalability and Flexibility Driving Adoption of Cloud Database Solutions

One of the key drivers of the global cloud database and DBaaS market is the scalability and flexibility offered by these solutions. Cloud databases can easily scale up or down based on the changing needs of organizations, allowing them to handle varying workloads and accommodate data growth. This scalability ensures that organizations can efficiently manage their databases without worrying about capacity constraints.

Furthermore, cloud database solutions provide flexibility by allowing organizations to choose the most suitable database management system (DBMS) for their specific requirements. Whether it's a relational database, NoSQL database, or a specialized database, organizations can leverage the flexibility of cloud databases to select the right solution that aligns with their data management needs.

Security and Compliance Concerns Driving Demand for Cloud DBaaS

Security and compliance are critical considerations for organizations when it comes to managing their databases. Cloud DBaaS providers offer robust security measures and compliance frameworks to ensure the protection and privacy of sensitive data. These providers invest heavily in advanced security technologies, encryption, access controls, and regular security audits to mitigate the risk of data breaches and unauthorized access.

Additionally, cloud DBaaS solutions offer built-in data replication and backup capabilities, ensuring data durability and disaster recovery. This feature provides organizations with peace of mind, knowing that their data is securely stored and can be easily recovered in the event of any unforeseen incidents.

Integration of Artificial Intelligence and Machine Learning

Similar to the Cloud Database and DBaaS (WAF) market, the integration of artificial intelligence (AI) and machine learning (ML) technologies into cloud database and DBaaS solutions is a significant trend. AI and ML algorithms can analyze vast amounts of data, identify patterns, and provide valuable insights for optimizing database performance, improving query execution, and automating routine database management tasks.

By leveraging AI and ML capabilities, cloud database and DBaaS providers can offer intelligent features such as automated performance tuning, predictive analytics, and anomaly detection. These advanced technologies enhance the efficiency and reliability of database operations, enabling organizations to make data-driven decisions and optimize their overall business performance.

Segmental Insights

Component Insights

In terms of components, the market is further segmented into solutions and services. The solution segment is further bifurcated into database management and storage. The solution segment accounted for the largest revenue share of 54.3% in 2022 and is expected to continue to dominate the industry over the forecast period. The solution segment refers to the range of offerings cloud databases and DBaaS providers provide their customers to meet their specific database needs. The solution segment includes many services, such as data migration, backup & recovery, performance tuning, security, and scalability. These services help businesses optimize their database infrastructure, reduce costs, and improve their efficiency.

Cloud database and DBaaS providers offer a variety of solutions to their customers, ranging from primary database hosting to advanced analytics and data management services. The service segment is anticipated to witness the highest growth rate of 17.3% during the forecast period. The service segment is bifurcated into professional services and managed services. The market refers to vendor offerings help organizations implement, manage, and optimize their cloud databases. These services further encompass consultation, support, training, migration, and ongoing maintenance and monitoring.

Consultation services can help organizations determine which type of cloud database or DBaaS solution is best suited for their needs and provide guidance on implementing and integrating it with their existing systems. Support services are essential for ensuring that any issues or problems with the database are addressed quickly and effectively. Training services can help organizations get up to speed on using and optimizing their cloud database, while migration services can help them move their existing data to the cloud.

Deployment Insights

Based on the deployment, the global market is sub-segmented into public, private, and hybrid. The hybrid segment held the largest revenue share of 47.8% in 2022. The adoption of hybrid cloud databases has become increasingly popular as it provides businesses with the flexibility to use both on-premises and cloud-based databases. The hybrid approach allows companies to leverage the benefits of cloud-based databases, such as scalability and cost savings, while still maintaining control over their sensitive data and complying with data sovereignty regulations. In addition, a hybrid cloud database offers a flexible and cost-effective solution for businesses that want to maintain control over their sensitive data while also leveraging the benefits of cloud-based databases.

With the increasing adoption of hybrid cloud databases, it is anticipated to drive the market during the forecast period. On the other hand, the private cloud segment is expected to witness the highest CAGR of 19.2% during the forecast period. Private cloud infrastructure provides a dedicated and isolated environment for storing, processing, and managing data. Private cloud databases can be customized and optimized to meet the specific needs and requirements of the organization, such as performance, scalability, availability, and disaster recovery. Hence, such factors are expected to drive the segment growth during the forecast period.

Enterprise Size Insights

Based on enterprise size, the global market is segmented into Small- and Medium-sized Enterprises (SMEs) and large-sized enterprises. The large-sized enterprise segment held the largest revenue share of 53.0% in 2022 and is expected to maintain its position over the forecast period. Large enterprises are gaining a significant competitive edge by migrating to cloud database solutions due to rapid digital acceleration. Large-size organizations often have complex and diverse data requirements, which can be challenging to manage with traditional on-premises databases. Cloud databases offer virtually limitless scalability, allowing organizations to add more storage capacity or processing power quickly and efficiently quickly and easily as their data needs increase over time. This means they can avoid the costs and complexities of maintaining on-premises infrastructure.

In December 2022, Cockroach Labs, a cloud-native distributed SQL database company, partnered with Computacenter plc, independent technology, and services provider to enhance and boost the widespread utilization of cloud-native technology. This collaboration enables large enterprises to streamline migrations, automate manual tasks, and boost effectiveness and efficiency. On the other hand, the SMEs segment is anticipated to witness the highest CAGR of 17.2% during the forecast period. SMEs are increasingly adopting cloud database and Database-as-a-Service (DBaaS) solutions. Cloud databases and DBaaS solutions can offer SMEs a cost-effective, scalable, and reliable way to manage their data without needing expensive on-premises infrastructure. One of the key benefits of cloud databases and DBaaS for SMEs is that it can provide a more cost-effective way to manage their data.

Regional Insights

North America dominated the market with a share of 35.1% in 2022 and is anticipated to dominate over the forecast period. There has been a significant increase in the demand for cloud databases in North America in recent years. This growth is driven by several factors, including the increased adoption of cloud-based technologies across various industries and the rise of big data & analytics. Also, the expansion of cloud computing is one of the main factors driving the growth of cloud databases in the region. As more businesses move to the cloud, the demand for cloud-based data storage solutions is rising.

Organizations in the region are launching the latest updates to their cloud database solutions to gain a competitive edge over their competitors. For instance, in October 2022, Nutanix announced the launch of the latest update to its Nutanix Cloud Cluster hybrid cloud component, which allows organizations to operate the Nutanix Cloud Platform software on Microsoft Azure. NC2 is a hybrid multi-cloud system, supporting both the AWS and Azure clouds. It enables consumers' VNets running enterprise applications to utilize Azure services rapidly.Asia Pacific is anticipated to grow at the highest CAGR of 19.3% during the forecast period.

The regional market is driven by the rise in investments by cloud computing companies. For instance, in September 2022, Alibaba Cloud, the cloud computing subsidiary of Alibaba.com, announced its plans to invest USD 1 billion to help customers adopt cloud computing solutions, reignite growth, and bolster the company's market position. The investment is specifically focused on offering cloud computing services, including data storage, Artificial Intelligence (AI), and analytics capabilities, to customers across various industries. The move comes amid fierce competition in the cloud computing market in China and globally, with tech giants like Tencent, Huawei Technologies Co., Ltd., and Amazon Web Services, Inc. competing over gaining market share.

Key Market Players

  • Google LLC
  • Nutanix
  • Oracle Corporation
  • IBM Corporation
  • SAP SE
  • Amazon Web Services, Inc.
  • Alibaba Cloud
  • MongoDB, Inc.
  • Microsoft Corp.
  • Teradata
  • Ninox Software GmbH
  • DataStax

Report Scope:

In this report, the Global Cloud Database and DBaaS Market has been segmented into the following categories, in addition to the industry trends which have also been detailed below:

Cloud Database and DBaaS Market, By Component:

  • Solution
  • Services

Cloud Database and DBaaS Market, By Deployment:

  • Public
  • Private
  • Hybrid

Cloud Database and DBaaS Market, By End- use Industry:

  • IT & Telecommunications
  • BFSI
  • Healthcare
  • Government & Public Sector
  • Manufacturing
  • Automotive
  • Retail & Consumer Goods
  • Media & Entertainment
  • Others

Cloud Database and DBaaS Market, By Database Type:

  • NoSQL
  • Relational Database

Cloud Database and DBaaS Market, By Enterprise Size:

  • Large Size Enterprises
  • Small and Medium Sized Enterprises (SMEs)

Cloud Database and DBaaS Market, By Region:

  • North America
  • United States
  • Canada
  • Mexico
  • Europe
  • France
  • United Kingdom
  • Italy
  • Germany
  • Spain
  • Belgium
  • Asia-Pacific
  • China
  • India
  • Japan
  • Australia
  • South Korea
  • Indonesia
  • Vietnam
  • South America
  • Brazil
  • Argentina
  • Colombia
  • Chile
  • Peru
  • Middle East & Africa
  • South Africa
  • Saudi Arabia
  • UAE
  • Turkey
  • Israel

Competitive Landscape

  • Company Profiles: Detailed analysis of the major companies present in the Global Cloud Database and DBaaS Market.

Available Customizations:

  • Global Cloud Database and DBaaS market report with the given market data, Tech Sci Research offers customizations according to a company's specific needs. The following customization options are available for the report:

Company Information

  • Detailed analysis and profiling of additional market players (up to five).

Table of Contents

1. Product Overview

  • 1.1. Market Definition
  • 1.2. Scope of the Market
    • 1.2.1. Markets Covered
    • 1.2.2. Years Considered for Study
    • 1.2.3. Key Market Segmentations

2. Research Methodology

  • 2.1. Objective of the Study
  • 2.2. Baseline Methodology
  • 2.3. Formulation of the Scope
  • 2.4. Assumptions and Limitations
  • 2.5. Sources of Research
    • 2.5.1. Secondary Research
    • 2.5.2. Primary Research
  • 2.6. Approach for the Market Study
    • 2.6.1. The Bottom-Up Approach
    • 2.6.2. The Top-Down Approach
  • 2.7. Methodology Followed for Calculation of Market Size & Market Shares
  • 2.8. Forecasting Methodology
    • 2.8.1. Data Triangulation & Validation

3. Executive Summary

4. Impact of COVID-19 on Global Cloud Database and DBaaS Market

5. Voice of Customer

6. Global Cloud Database and DBaaS Market Overview

7. Global Cloud Database and DBaaS Market Outlook

  • 7.1. Market Size & Forecast
    • 7.1.1. By Value
  • 7.2. Market Share & Forecast
    • 7.2.1. By Database Type (NoSQL, Relational Database)
    • 7.2.2. By Component (Solution, Service)
    • 7.2.3. By End-use Industry (IT & Telecommunications, BFSI, Healthcare, Government & Public Sector, Manufacturing, Automotive, Retail & Consumer Goods, Media & Entertainment, Others)
    • 7.2.4. By Enterprise Size (Large Size Enterprises, Small and Medium Sized Enterprises (SMEs))
    • 7.2.5. By Deployment (Public, Private, Hybrid)
    • 7.2.6. By Region (North America, Europe, South America, Middle East & Africa, Asia Pacific)
  • 7.3. By Company (2022)
  • 7.4. Market Map

8. North America Cloud Database and DBaaS Market Outlook

  • 8.1. Market Size & Forecast
    • 8.1.1. By Value
  • 8.2. Market Share & Forecast
    • 8.2.1. By Database Type
    • 8.2.2. By Component
    • 8.2.3. By End-use Industry
    • 8.2.4. By Enterprise Size
    • 8.2.5. By Deployment
    • 8.2.6. By Country
  • 8.3. North America: Country Analysis
    • 8.3.1. United States Cloud Database and DBaaS Market Outlook
      • 8.3.1.1. Market Size & Forecast
        • 8.3.1.1.1. By Value
      • 8.3.1.2. Market Share & Forecast
        • 8.3.1.2.1. By Database Type
        • 8.3.1.2.2. By Component
        • 8.3.1.2.3. By End-use Industry
        • 8.3.1.2.4. By Enterprise Size
        • 8.3.1.2.5. By Deployment
    • 8.3.2. Canada Cloud Database and DBaaS Market Outlook
      • 8.3.2.1. Market Size & Forecast
        • 8.3.2.1.1. By Value
      • 8.3.2.2. Market Share & Forecast
        • 8.3.2.2.1. By Database Type
        • 8.3.2.2.2. By Component
        • 8.3.2.2.3. By End-use Industry
        • 8.3.2.2.4. By Enterprise Size
        • 8.3.2.2.5. By Deployment
    • 8.3.3. Mexico Cloud Database and DBaaS Market Outlook
      • 8.3.3.1. Market Size & Forecast
        • 8.3.3.1.1. By Value
      • 8.3.3.2. Market Share & Forecast
        • 8.3.3.2.1. By Database Type
        • 8.3.3.2.2. By Component
        • 8.3.3.2.3. By End-use Industry
        • 8.3.3.2.4. By Enterprise Size
        • 8.3.3.2.5. By Deployment

9. Europe Cloud Database and DBaaS Market Outlook

  • 9.1. Market Size & Forecast
    • 9.1.1. By Value
  • 9.2. Market Share & Forecast
    • 9.2.1. By Database Type
    • 9.2.2. By Component
    • 9.2.3. By End-use Industry
    • 9.2.4. By Enterprise Size
    • 9.2.5. By Deployment
    • 9.2.6. By Country
  • 9.3. Europe: Country Analysis
    • 9.3.1. Germany Cloud Database and DBaaS Market Outlook
      • 9.3.1.1. Market Size & Forecast
        • 9.3.1.1.1. By Value
      • 9.3.1.2. Market Share & Forecast
        • 9.3.1.2.1. By Database Type
        • 9.3.1.2.2. By Component
        • 9.3.1.2.3. By End-use Industry
        • 9.3.1.2.4. By Enterprise Size
        • 9.3.1.2.5. By Deployment
    • 9.3.2. France Cloud Database and DBaaS Market Outlook
      • 9.3.2.1. Market Size & Forecast
        • 9.3.2.1.1. By Value
      • 9.3.2.2. Market Share & Forecast
        • 9.3.2.2.1. By Database Type
        • 9.3.2.2.2. By Component
        • 9.3.2.2.3. By End-use Industry
        • 9.3.2.2.4. By Enterprise Size
        • 9.3.2.2.5. By Deployment
    • 9.3.3. United Kingdom Cloud Database and DBaaS Market Outlook
      • 9.3.3.1. Market Size & Forecast
        • 9.3.3.1.1. By Value
      • 9.3.3.2. Market Share & Forecast
        • 9.3.3.2.1. By Database Type
        • 9.3.3.2.2. By Component
        • 9.3.3.2.3. By End-use Industry
        • 9.3.3.2.4. By Enterprise Size
        • 9.3.3.2.5. By Deployment
    • 9.3.4. Italy Cloud Database and DBaaS Market Outlook
      • 9.3.4.1. Market Size & Forecast
        • 9.3.4.1.1. By Value
      • 9.3.4.2. Market Share & Forecast
        • 9.3.4.2.1. By Database Type
        • 9.3.4.2.2. By Component
        • 9.3.4.2.3. By End-use Industry
        • 9.3.4.2.4. By Enterprise Size
        • 9.3.4.2.5. By Deployment
    • 9.3.5. Spain Cloud Database and DBaaS Market Outlook
      • 9.3.5.1. Market Size & Forecast
        • 9.3.5.1.1. By Value
      • 9.3.5.2. Market Share & Forecast
        • 9.3.5.2.1. By Database Type
        • 9.3.5.2.2. By Component
        • 9.3.5.2.3. By End-use Industry
        • 9.3.5.2.4. By Enterprise Size
        • 9.3.5.2.5. By Deployment
    • 9.3.6. Belgium Cloud Database and DBaaS Market Outlook
      • 9.3.6.1. Market Size & Forecast
        • 9.3.6.1.1. By Value
      • 9.3.6.2. Market Share & Forecast
        • 9.3.6.2.1. By Database Type
        • 9.3.6.2.2. By Component
        • 9.3.6.2.3. By End-use Industry
        • 9.3.6.2.4. By Enterprise Size
        • 9.3.6.2.5. By Deployment

10. South America Cloud Database and DBaaS Market Outlook

  • 10.1. Market Size & Forecast
    • 10.1.1. By Value
  • 10.2. Market Share & Forecast
    • 10.2.1. By Database Type
    • 10.2.2. By Component
    • 10.2.3. By End-use Industry
    • 10.2.4. By Enterprise Size
    • 10.2.5. By Deployment
    • 10.2.6. By Country
  • 10.3. South America: Country Analysis
    • 10.3.1. Brazil Cloud Database and DBaaS Market Outlook
      • 10.3.1.1. Market Size & Forecast
        • 10.3.1.1.1. By Value
      • 10.3.1.2. Market Share & Forecast
        • 10.3.1.2.1. By Database Type
        • 10.3.1.2.2. By Component
        • 10.3.1.2.3. By End-use Industry
        • 10.3.1.2.4. By Enterprise Size
        • 10.3.1.2.5. By Deployment
    • 10.3.2. Colombia Cloud Database and DBaaS Market Outlook
      • 10.3.2.1. Market Size & Forecast
        • 10.3.2.1.1. By Value
      • 10.3.2.2. Market Share & Forecast
        • 10.3.2.2.1. By Database Type
        • 10.3.2.2.2. By Component
        • 10.3.2.2.3. By End-use Industry
        • 10.3.2.2.4. By Enterprise Size
        • 10.3.2.2.5. By Deployment
    • 10.3.3. Argentina Cloud Database and DBaaS Market Outlook
      • 10.3.3.1. Market Size & Forecast
        • 10.3.3.1.1. By Value
      • 10.3.3.2. Market Share & Forecast
        • 10.3.3.2.1. By Database Type
        • 10.3.3.2.2. By Component
        • 10.3.3.2.3. By End-use Industry
        • 10.3.3.2.4. By Enterprise Size
        • 10.3.3.2.5. By Deployment
    • 10.3.4. Chile Cloud Database and DBaaS Market Outlook
      • 10.3.4.1. Market Size & Forecast
        • 10.3.4.1.1. By Value
      • 10.3.4.2. Market Share & Forecast
        • 10.3.4.2.1. By Database Type
        • 10.3.4.2.2. By Component
        • 10.3.4.2.3. By End-use Industry
        • 10.3.4.2.4. By Enterprise Size
        • 10.3.4.2.5. By Deployment
    • 10.3.5. Peru Cloud Database and DBaaS Market Outlook
      • 10.3.5.1. Market Size & Forecast
        • 10.3.5.1.1. By Value
      • 10.3.5.2. Market Share & Forecast
        • 10.3.5.2.1. By Database Type
        • 10.3.5.2.2. By Component
        • 10.3.5.2.3. By End-use Industry
        • 10.3.5.2.4. By Enterprise Size
        • 10.3.5.2.5. By Deployment

11. Middle East & Africa Cloud Database and DBaaS Market Outlook

  • 11.1. Market Size & Forecast
    • 11.1.1. By Value
  • 11.2. Market Share & Forecast
    • 11.2.1. By Database Type
    • 11.2.2. By Component
    • 11.2.3. By End-use Industry
    • 11.2.4. By Enterprise Size
    • 11.2.5. By Deployment
    • 11.2.6. By Country
  • 11.3. Middle East & Africa: Country Analysis
    • 11.3.1. Saudi Arabia Cloud Database and DBaaS Market Outlook
      • 11.3.1.1. Market Size & Forecast
        • 11.3.1.1.1. By Value
      • 11.3.1.2. Market Share & Forecast
        • 11.3.1.2.1. By Database Type
        • 11.3.1.2.2. By Component
        • 11.3.1.2.3. By End-use Industry
        • 11.3.1.2.4. By Enterprise Size
        • 11.3.1.2.5. By Deployment
    • 11.3.2. UAE Cloud Database and DBaaS Market Outlook
      • 11.3.2.1. Market Size & Forecast
        • 11.3.2.1.1. By Value
      • 11.3.2.2. Market Share & Forecast
        • 11.3.2.2.1. By Database Type
        • 11.3.2.2.2. By Component
        • 11.3.2.2.3. By End-use Industry
        • 11.3.2.2.4. By Enterprise Size
        • 11.3.2.2.5. By Deployment
    • 11.3.3. South Africa Cloud Database and DBaaS Market Outlook
      • 11.3.3.1. Market Size & Forecast
        • 11.3.3.1.1. By Value
      • 11.3.3.2. Market Share & Forecast
        • 11.3.3.2.1. By Database Type
        • 11.3.3.2.2. By Component
        • 11.3.3.2.3. By End-use Industry
        • 11.3.3.2.4. By Enterprise Size
        • 11.3.3.2.5. By Deployment
    • 11.3.4. Turkey Cloud Database and DBaaS Market Outlook
      • 11.3.4.1. Market Size & Forecast
        • 11.3.4.1.1. By Value
      • 11.3.4.2. Market Share & Forecast
        • 11.3.4.2.1. By Database Type
        • 11.3.4.2.2. By Component
        • 11.3.4.2.3. By End-use Industry
        • 11.3.4.2.4. By Enterprise Size
        • 11.3.4.2.5. By Deployment
    • 11.3.5. Israel Cloud Database and DBaaS Market Outlook
      • 11.3.5.1. Market Size & Forecast
        • 11.3.5.1.1. By Value
      • 11.3.5.2. Market Share & Forecast
        • 11.3.5.2.1. By Database Type
        • 11.3.5.2.2. By Component
        • 11.3.5.2.3. By End-use Industry
        • 11.3.5.2.4. By Enterprise Size
        • 11.3.5.2.5. By Deployment

12. Asia Pacific Cloud Database and DBaaS Market Outlook

  • 12.1. Market Size & Forecast
    • 12.1.1. By Database Type
    • 12.1.2. By Component
    • 12.1.3. By End-use Industry
    • 12.1.4. By Enterprise Size
    • 12.1.5. By Deployment
    • 12.1.6. By Country
  • 12.2. Asia-Pacific: Country Analysis
    • 12.2.1. China Cloud Database and DBaaS Market Outlook
      • 12.2.1.1. Market Size & Forecast
        • 12.2.1.1.1. By Value
      • 12.2.1.2. Market Share & Forecast
        • 12.2.1.2.1. By Database Type
        • 12.2.1.2.2. By Component
        • 12.2.1.2.3. By End-use Industry
        • 12.2.1.2.4. By Enterprise Size
        • 12.2.1.2.5. By Deployment
    • 12.2.2. India Cloud Database and DBaaS Market Outlook
      • 12.2.2.1. Market Size & Forecast
        • 12.2.2.1.1. By Value
      • 12.2.2.2. Market Share & Forecast
        • 12.2.2.2.1. By Database Type
        • 12.2.2.2.2. By Component
        • 12.2.2.2.3. By End-use Industry
        • 12.2.2.2.4. By Enterprise Size
        • 12.2.2.2.5. By Deployment
    • 12.2.3. Japan Cloud Database and DBaaS Market Outlook
      • 12.2.3.1. Market Size & Forecast
        • 12.2.3.1.1. By Value
      • 12.2.3.2. Market Share & Forecast
        • 12.2.3.2.1. By Database Type
        • 12.2.3.2.2. By Component
        • 12.2.3.2.3. By End-use Industry
        • 12.2.3.2.4. By Enterprise Size
        • 12.2.3.2.5. By Deployment
    • 12.2.4. South Korea Cloud Database and DBaaS Market Outlook
      • 12.2.4.1. Market Size & Forecast
        • 12.2.4.1.1. By Value
      • 12.2.4.2. Market Share & Forecast
        • 12.2.4.2.1. By Database Type
        • 12.2.4.2.2. By Component
        • 12.2.4.2.3. By End-use Industry
        • 12.2.4.2.4. By Enterprise Size
        • 12.2.4.2.5. By Deployment
    • 12.2.5. Australia Cloud Database and DBaaS Market Outlook
      • 12.2.5.1. Market Size & Forecast
        • 12.2.5.1.1. By Value
      • 12.2.5.2. Market Share & Forecast
        • 12.2.5.2.1. By Database Type
        • 12.2.5.2.2. By Component
        • 12.2.5.2.3. By End-use Industry
        • 12.2.5.2.4. By Enterprise Size
        • 12.2.5.2.5. By Deployment
    • 12.2.6. Indonesia Cloud Database and DBaaS Market Outlook
      • 12.2.6.1. Market Size & Forecast
        • 12.2.6.1.1. By Value
      • 12.2.6.2. Market Share & Forecast
        • 12.2.6.2.1. By Database Type
        • 12.2.6.2.2. By Component
        • 12.2.6.2.3. By End-use Industry
        • 12.2.6.2.4. By Enterprise Size
        • 12.2.6.2.5. By Deployment
    • 12.2.7. Vietnam Cloud Database and DBaaS Market Outlook
      • 12.2.7.1. Market Size & Forecast
        • 12.2.7.1.1. By Value
      • 12.2.7.2. Market Share & Forecast
        • 12.2.7.2.1. By Database Type
        • 12.2.7.2.2. By Component
        • 12.2.7.2.3. By End-use Industry
        • 12.2.7.2.4. By Enterprise Size
        • 12.2.7.2.5. By Deployment

13. Market Dynamics

  • 13.1. Drivers
  • 13.2. Challenges

14. Market Trends and Developments

15. Company Profiles

  • 15.1. Google LLC
    • 15.1.1. Business Overview
    • 15.1.2. Key Revenue and Financials
    • 15.1.3. Recent Developments
    • 15.1.4. Key Personnel/Key Contact Person
    • 15.1.5. Key Product/Services Offered
  • 15.2. Nutanix
    • 15.2.1. Business Overview
    • 15.2.2. Key Revenue and Financials
    • 15.2.3. Recent Developments
    • 15.2.4. Key Personnel/Key Contact Person
    • 15.2.5. Key Product/Services Offered
  • 15.3. Oracle Corporation
    • 15.3.1. Business Overview
    • 15.3.2. Key Revenue and Financials
    • 15.3.3. Recent Developments
    • 15.3.4. Key Personnel/Key Contact Person
    • 15.3.5. Key Product/Services Offered
  • 15.4. IBM Corporation
    • 15.4.1. Business Overview
    • 15.4.2. Key Revenue and Financials
    • 15.4.3. Recent Developments
    • 15.4.4. Key Personnel/Key Contact Person
    • 15.4.5. Key Product/Services Offered
  • 15.5. SAP SE
    • 15.5.1. Business Overview
    • 15.5.2. Key Revenue and Financials
    • 15.5.3. Recent Developments
    • 15.5.4. Key Personnel/Key Contact Person
    • 15.5.5. Key Product/Services Offered
  • 15.6. Amazon Web Services, Inc.
    • 15.6.1. Business Overview
    • 15.6.2. Key Revenue and Financials
    • 15.6.3. Recent Developments
    • 15.6.4. Key Personnel/Key Contact Person
    • 15.6.5. Key Product/Services Offered
  • 15.7. Alibaba Cloud
    • 15.7.1. Business Overview
    • 15.7.2. Key Revenue and Financials
    • 15.7.3. Recent Developments
    • 15.7.4. Key Personnel/Key Contact Person
    • 15.7.5. Key Product/Services Offered
  • 15.8. MongoDB, Inc.
    • 15.8.1. Business Overview
    • 15.8.2. Key Revenue and Financials
    • 15.8.3. Recent Developments
    • 15.8.4. Key Personnel/Key Contact Person
    • 15.8.5. Key Product/Services Offered
  • 15.9. Microsoft Corp.
    • 15.9.1. Business Overview
    • 15.9.2. Key Revenue and Financials
    • 15.9.3. Recent Developments
    • 15.9.4. Key Personnel/Key Contact Person
    • 15.9.5. Key Product/Services Offered
  • 15.10. Teradata
    • 15.10.1. Business Overview
    • 15.10.2. Key Revenue and Financials
    • 15.10.3. Recent Developments
    • 15.10.4. Key Personnel/Key Contact Person
    • 15.10.5. Key Product/Services Offered
  • 15.11. Ninox Software GmbH
    • 15.11.1. Business Overview
    • 15.11.2. Key Revenue and Financials
    • 15.11.3. Recent Developments
    • 15.11.4. Key Personnel/Key Contact Person
    • 15.11.5. Key Product/Services Offered
  • 15.12. DataStax
    • 15.12.1. Business Overview
    • 15.12.2. Key Revenue and Financials
    • 15.12.3. Recent Developments
    • 15.12.4. Key Personnel/Key Contact Person
    • 15.12.5. Key Product/Services Offered

16. Strategic Recommendations

17. About Us & Disclaimer