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市場調查報告書
商品編碼
1737222

全球 SQL記憶體內市場規模(按類型、應用、地區、範圍和預測)

Global SQL In-Memory Database Market Size By Type (SQL, Relational data type, NEWSQL), By Application (Reporting, Transaction, Analytics), By Geographic Scope And Forecast

出版日期: | 出版商: Verified Market Research | 英文 202 Pages | 商品交期: 2-3個工作天內

價格
簡介目錄

SQL記憶體內的市場規模和預測

SQL記憶體內市場規模預計在 2024 年達到 92.6 億美元,到 2032 年將達到 357 億美元,2026 年至 2032 年的複合年成長率為 20.27%。

SQL記憶體內市場的發展受到大多數行業對即時資料監控和分析資料處理日益成長的需求的推動。本報告對全球 SQL記憶體內市場進行了全面的評估和分析,包括關鍵細分市場、趨勢、市場促進因素、限制因素、競爭格局以及影響市場的關鍵因素。

定義全球 SQL記憶體內市場

收集、組織和歸檔資料的過程稱為資料庫。當設備主記憶體用於儲存資料時,它被稱為記憶體內。與磁碟資料庫相比,記憶體內資料庫系統運行速度更快,因為記憶體存取速度比磁碟存取快得多,因此存取更接近磁碟裝置。

客製化版本的 SQL記憶體內具有諸多優勢,例如比磁碟裝置存取速度更快、經濟實惠的資料備份設定簡便,以及能夠透過處理歷史資料來尋找資料異常。 SQL記憶體內解決方案能夠快速存取和處理數據,從而滿足即時分析數據的需求。記憶體內作為資料庫管理系統 (DBMS) 的子集,能夠處理記憶體中的數據,而無需從檔案系統讀取和寫入資料。

全球 SQL記憶體內市場概覽

SQL記憶體內市場主要受日益成長的資料即時監控和分析資料處理需求的驅動。電子商務和零售等行業專注於收集消費者數據,以便更好地了解和預測他們的購買行為。資料庫的諸多優勢(例如快速的資料搜尋速度)預計將在預測期內推動SQL記憶體內市場的發展。更快的數據處理速度將在未來幾年推動市場需求。記憶體價格的下降將提振市場。

各行各業產生的大量數據也是推動市場成長的因素。同時,需要卓越效能的非嵌入式應用程式也藉助 SQL記憶體內建立。記憶體內具有內建功能,可更快地執行資料管理功能,因此對記憶體和中央處理器 (CPU) 的要求較低。此外,與傳統的基於磁碟的系統不同,記憶體內系統不受檔案輸入/輸出 (I/O) 的負擔。由於記憶體內資料庫系統的上述特性和功能,市場正在見證各公司的顯著成長。

SQL記憶體內市場預計將在包括商業、金融服務和保險業(BFSI)在內的各個垂直領域擁有最大的市場規模。記憶體內非常適合處理BFSI等各類業務中可用的高速交易,因此在BFSI領域被廣泛接受。運行SQL記憶體內的資料伺服器的安裝和維護成本高昂是阻礙該市場成長的限制因素之一。記憶體容量限制也是預測期內阻礙成長的因素之一。資料安全也是影響市場成長的問題。

目錄

第 1 章:全球 SQL記憶體內市場簡介

  • 市場概覽
  • 研究範圍
  • 先決條件

第2章執行摘要

第3章:已驗證的市場研究調查方法

  • 資料探勘
  • 驗證
  • 第一手資料
  • 資料來源列表

第4章全球SQL記憶體內市場展望

  • 概述
  • 市場動態
    • 驅動程式
    • 限制因素
    • 機會
  • 波特五力模型
  • 價值鏈分析

第5章。全球 SQL記憶體內市場(按類型)

  • 概述
  • SQL
  • 關係資料類型
  • NEWSQL

第6章全球SQL記憶體內市場(按應用)

  • 概述
  • 彙報
  • 交易
  • 分析

7.全球SQL記憶體內市場(按地區)

  • 概述
  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 德國
    • 英國
    • 法國
    • 義大利
    • 西班牙
    • 其他歐洲國家
  • 亞太地區
    • 中國
    • 日本
    • 印度
    • 其他亞太地區
  • 世界其他地區
    • 拉丁美洲
    • 中東和非洲

第 8 章:全球 SQL記憶體內市場競爭格局

  • 概述
  • 各公司市場排名
  • 主要發展策略

第9章 公司簡介

  • Microsoft Corporation
  • IBM Corporation
  • Oracle Corporation
  • SAP SE
  • Teradata Corporation
  • Amazon Web Services
  • Tableau Software
  • Kognitio Ltd
  • VoltDB,
  • McObject LLC.
  • MemSQL
  • Aerospike
  • GridGain
  • GigaSpaces.

第10章 重大進展

  • 產品發布/開發
  • 合併與收購
  • 業務擴展
  • 夥伴關係與合作

第11章 附錄

  • 相關調查
簡介目錄
Product Code: 58934

SQL In-Memory Database Market Size And Forecast

SQL In-Memory Database Market size was valued at USD 9.26 Billion in 2024 and is projected to reach USD 35.7 Billion by 2032, growing at a CAGR of 20.27% from 2026 to 2032.

The market for the SQL In-Memory Database is primarily being driven by the rising demand for the real-time monitoring of data and analytical data processing from most industry verticals. The Global SQL In-Memory Database Market report provides a holistic evaluation of the market. The report offers a comprehensive analysis of key segments, trends, drivers, restraints, competitive landscape, and factors that are playing a substantial role in the market.

Global SQL In-Memory Database Market Definition

The collection of data and filing of the same in an organized manner is known as a database. When the main memory of the device is used for the data storage it is known as the In-Memory Database. As compared with the disk databases, the In-Memory Database system functions much faster since its memory access is much faster than the disk access because memory is closer to access than a disk device.

The customized version of SQL In-Memory Databases offers advantages such as faster access than the disk devices, economic ease in setting data backup, and the capacity to find irregularities in the data, by processing past data. The need for analyzing this data in real time has been fulfilled by SQL In-Memory Database solutions, as these solutions provide quick accessibility and processing of the data. Being a growing sub-set of the Database Management System (DBMS), the in-memory database has the capability of working with the data in memory rather than reading and writing it from the file system.

Global SQL In-Memory Database Market Overview

The market for the SQL In-Memory Database is primarily being driven by the rising demand for the real-time monitoring of data and analytical data processing from most industry verticals. Industries such as e-commerce or retail have been more focused on gathering data on consumers for better understanding and predicting the purchasing behavior of consumers. The numerous advantages of databases such as the fast data retrieval speed are anticipated to grow the SQL In-Memory Database Market during the forecast period. Due to Faster data processing, the market is driving the demand in upcoming years. The market boots because of the falling RAM prices.

The Massive amount of data being generated from various industries is another factor that will boost the market growth. On the other hand, the Non-embedded applications requiring exceptional performance will be created with the help of the SQL In-Memory Database. With an in-built capability of performing the data management functions at a faster magnitude, the in-memory database has lower memory and Central Processing Unit (CPU) requirements. Furthermore, unlike traditional disk-based systems, the in-memory database system carries no file Input/output (I/O) burden. Due to the aforesaid features and capabilities of the in-memory database systems, the market has shown significant growth in various enterprises.

In the SQL In-Memory Database Market, the BFSI vertical is predicted to have the greatest market size. Because they are well-suited and capable of handling high-speed transactions available in various businesses such as BFSI, in-memory databases have seen widespread acceptance in the BFSI vertical. The high cost of installation and maintenance of the data servers that run the SQL In-Memory Database is one of the limiting factors that hamper the growth in this market. Memory space constraints are also one of the factors that hamper growth in the forecast period. Data security is another concern that will affect the growth of the market.

Global SQL In-Memory Database Market Segmentation Analysis

The Global SQL In-Memory Database Market is segmented on the basis of Type, Application, and Geography.

SQL In-Memory Database Market, By Type

  • SQL
  • Relational data type
  • NEWSQL

Based on Type, the market is segmented into SQL, Relational data type, and NEWSQL. The in-memory database refers to the technology that stores the data fully or partially in the memory on either single or distributed servers. The in-Memory Database technology keeps the whole database in the main memory of the system. The technology supports transactional, operational, and analytical workloads.

  • It helps in reducing latency in the data, which further helps in the extraction of data for its processing on a real-time basis. Moreover, a massive amount of data (big data) is being generated across various industries. The need for analyzing this data in real time has been fulfilled by in-memory database solutions, as these solutions provide that quick accessibility and processing of data.

SQL In-Memory Database Market, By Application

  • Reporting
  • Transaction
  • Analytics

Based on Application, the market is segmented into Reporting, Transaction, and Analytics. An in-memory database has gained traction owing to the reduced prices of computer memory and the increasing shift towards the use of analytics solutions for decision-making, as businesses of every size are expecting immediate response times.

SQL In-Memory Database Market, By Geography

  • North America
  • Europe
  • Asia Pacific
  • Middle East and Africa
  • Latin America
  • On the basis of Regional Analysis, the Global SQL In-Memory Database Market is classified into North America, Europe, Asia Pacific, Middle East and Africa, and Latin America. The SQL In-Memory Database Market in APAC is expected to grow at the highest CAGR during the forecast period. APAC is the fastest-growing market for in-memory databases. Many Asian countries are leveraging information-intensive technologies to gain an edge over the competition.
  • Major countries in APAC such as India, China, and others are digitalizing and promoting emerging technologies such as mobility, IoT, cloud, BI, and analytics. This has provided tremendous opportunities for the growth of the SQL In-Memory Database Market. Hence, there are outstanding chances for the growth of data generated from connected devices. It is a significant opportunity for in-memory database providers because data-centric organizations will require faster analytics and timely access to data than ever before.

Key Players

The "Global SQL In-Memory Database Market" study report will provide valuable insight with an emphasis on the global market. The major players in the market are Microsoft Corporation, IBM Corporation, Oracle Corporation, SAP SE, Teradata Corporation, Amazon Web Services, Tableau Software, Kognitio Ltd., VoltDB, McObject LLC., MemSQL, Aerospike, GridGain, GigaSpaces.

Our market analysis also entails a section solely dedicated to such major players wherein our analysts provide an insight into the financial statements of all the major players, along with product benchmarking and SWOT analysis.

  • Ace Matrix Analysis
  • The Ace Matrix provided in the report would help to understand how the major key players involved in this industry are performing as we provide a ranking for these companies based on various factors such as service features & innovations, scalability, innovation of services, industry coverage, industry reach, and growth roadmap. Based on these factors, we rank the companies into four categories as Active, Cutting Edge, Emerging, and Innovators.
  • Market Attractiveness
  • The image of market attractiveness provided would further help to get information about the region that is majorly leading in the Global SQL In-Memory Database Market. We cover the major impacting factors that are responsible for driving the industry growth in the given region.
  • Porter's Five Forces
  • The image provided would further help to get information about Porter's five forces framework providing a blueprint for understanding the behavior of competitors and a player's strategic positioning in the respective industry. Porter's five forces model can be used to assess the competitive landscape in the Global SQL In-Memory Database Market, gauge the attractiveness of a certain sector, and assess investment possibilities.

TABLE OF CONTENTS

1 INTRODUCTION OF GLOBAL SQL IN-MEMORY DATABASE MARKET

  • 1.1 Overview of the Market
  • 1.2 Scope of Report
  • 1.3 Assumptions

2 EXECUTIVE SUMMARY

3 RESEARCH METHODOLOGY OF VERIFIED MARKET RESEARCH

  • 3.1 Data Mining
  • 3.2 Validation
  • 3.3 Primary Interviews
  • 3.4 List of Data Sources

4 GLOBAL SQL IN-MEMORY DATABASE MARKET OUTLOOK

  • 4.1 Overview
  • 4.2 Market Dynamics
    • 4.2.1 Drivers
    • 4.2.2 Restraints
    • 4.2.3 Opportunities
  • 4.3 Porters Five Force Model
  • 4.4 Value Chain Analysis

5 GLOBAL SQL IN-MEMORY DATABASE MARKET, BY TYPE

  • 5.1 Overview
  • 5.2 SQL
  • 5.3 Relational Data Type
  • 5.4 NEWSQL

6 GLOBAL SQL IN-MEMORY DATABASE MARKET, BY APPLICATION

  • 6.1 Overview
  • 6.2 Reporting
  • 6.3 Transaction
  • 6.4 Analytics

7 GLOBAL SQL IN-MEMORY DATABASE MARKET, BY GEOGRAPHY

  • 7.1 Overview
  • 7.2 North America
    • 7.2.1 U.S.
    • 7.2.2 Canada
    • 7.2.3 Mexico
  • 7.3 Europe
    • 7.3.1 Germany
    • 7.3.2 U.K.
    • 7.3.3 France
    • 7.3.4 Italy
    • 7.3.5 Spain
    • 7.3.6 Rest of Europe
  • 7.4 Asia Pacific
    • 7.4.1 China
    • 7.4.2 Japan
    • 7.4.3 India
    • 7.4.4 Rest of Asia Pacific
  • 7.5 Rest of the World
    • 7.5.1 Latin America
    • 7.5.2 Middle East and Africa

8 GLOBAL SQL IN-MEMORY DATABASE MARKET COMPETITIVE LANDSCAPE

  • 8.1 Overview
  • 8.2 Company Market Ranking
  • 8.3 Key Development Strategies

9 COMPANY PROFILES

  • 9.1 Microsoft Corporation
    • 9.1.1 Company Overview
    • 9.1.2 Company Insights
    • 9.1.3 Business Breakdown
    • 9.1.4 Product Benchmarking
    • 9.1.5 Key Developments
  • 9.2 IBM Corporation
    • 9.2.1 Company Overview
    • 9.2.2 Company Insights
    • 9.2.3 Business Breakdown
    • 9.2.4 Product Benchmarking
    • 9.2.5 Key Developments
  • 9.3 Oracle Corporation
    • 9.3.1 Company Overview
    • 9.3.2 Company Insights
    • 9.3.3 Business Breakdown
    • 9.3.4 Product Benchmarking
    • 9.3.5 Key Developments
  • 9.4 SAP SE
    • 9.4.1 Company Overview
    • 9.4.2 Company Insights
    • 9.4.3 Business Breakdown
    • 9.4.4 Product Benchmarking
    • 9.4.5 Key Developments
  • 9.5 Teradata Corporation
    • 9.5.1 Company Overview
    • 9.5.2 Company Insights
    • 9.5.3 Business Breakdown
    • 9.5.4 Product Benchmarking
    • 9.5.5 Key Developments
  • 9.6 Amazon Web Services
    • 9.6.1 Company Overview
    • 9.6.2 Company Insights
    • 9.6.3 Business Breakdown
    • 9.6.4 Product Benchmarking
    • 9.6.5 Key Developments
  • 9.7 Tableau Software
    • 9.7.1 Company Overview
    • 9.7.2 Company Insights
    • 9.7.3 Business Breakdown
    • 9.7.4 Product Benchmarking
    • 9.7.5 Key Developments
  • 9.8 Kognitio Ltd
    • 9.8.1 Company Overview
    • 9.8.2 Company Insights
    • 9.8.3 Business Breakdown
    • 9.8.4 Product Benchmarking
    • 9.8.5 Key Developments
  • 9.9 VoltDB,
    • 9.9.1 Company Overview
    • 9.9.2 Company Insights
    • 9.9.3 Business Breakdown
    • 9.9.4 Product Benchmarking
    • 9.9.5 Key Developments
  • 9.10 McObject LLC.
    • 9.10.1 Company Overview
    • 9.10.2 Company Insights
    • 9.10.3 Business Breakdown
    • 9.10.4 Product Benchmarking
    • 9.10.5 Key Developments
  • 9.11 MemSQL
    • 9.11.1 Company Overview
    • 9.11.2 Company Insights
    • 9.11.3 Business Breakdown
    • 9.11.4 Product Benchmarking
    • 9.11.5 Key Developments
  • 9.11 Aerospike
    • 9.11.1 Company Overview
    • 9.11.2 Company Insights
    • 9.11.3 Business Breakdown
    • 9.11.4 Product Benchmarking
    • 9.11.5 Key Developments
  • 9.11 GridGain
    • 9.11.1 Company Overview
    • 9.11.2 Company Insights
    • 9.11.3 Business Breakdown
    • 9.11.4 Product Benchmarking
    • 9.11.5 Key Developments
  • 9.11 GigaSpaces.
    • 9.11.1 Company Overview
    • 9.11.2 Company Insights
    • 9.11.3 Business Breakdown
    • 9.11.4 Product Benchmarking
    • 9.11.5 Key Developments

10 KEY DEVELOPMENTS

  • 10.1 Product Launches/Developments
  • 10.2 Mergers and Acquisitions
  • 10.3 Business Expansions
  • 10.4 Partnerships and Collaborations

11 Appendix

  • 11.1 Related Research