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市场调查报告书
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1737222

全球 SQL记忆体内市场规模（按类型、应用、地区、范围和预测）

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个工作天内

价格
简介目录

SQL记忆体内的市场规模和预测

SQL记忆体内市场规模预计在 2024 年达到 92.6 亿美元，到 2032 年将达到 357 亿美元，2026 年至 2032 年的复合年增长率为 20.27%。

SQL记忆体内市场的发展受到大多数行业对即时资料监控和分析资料处理日益增长的需求的推动。本报告对全球 SQL记忆体内市场进行了全面的评估和分析，包括关键细分市场、趋势、市场驱动因素、限制因素、竞争格局以及影响市场的关键因素。

定义全球 SQL记忆体内市场

收集、组织和归檔资料的过程称为资料库。当设备主记忆体用于储存资料时，它被称为记忆体内。与磁碟资料库相比，记忆体内资料库系统运行速度更快，因为记忆体存取速度比磁碟存取快得多，因此存取更接近磁碟装置。

客製化版本的 SQL记忆体内具有诸多优势，例如比磁碟装置存取速度更快、经济实惠的资料备份设定简便，以及能够透过处理历史资料来寻找资料异常。 SQL记忆体内解决方案能够快速存取和处理数据，从而满足即时分析数据的需求。记忆体内作为资料库管理系统 (DBMS) 的子集，能够处理记忆体中的数据，而无需从檔案系统读取和写入资料。

全球 SQL记忆体内市场概览

SQL记忆体内市场主要受日益增长的资料即时监控和分析资料处理需求的驱动。电子商务和零售等行业专注于收集消费者数据，以便更好地了解和预测他们的购买行为。资料库的诸多优势（例如快速的资料搜寻速度）预计将在预测期内推动SQL记忆体内市场的发展。更快的数据处理速度将在未来几年推动市场需求。记忆体价格的下降将提振市场。

各行各业产生的大量数据也是推动市场成长的因素。同时，需要卓越效能的非嵌入式应用程式也藉助 SQL记忆体内建立。记忆体内具有内建功能，可更快地执行资料管理功能，因此对记忆体和中央处理器 (CPU) 的要求较低。此外，与传统的基于磁碟的系统不同，记忆体内系统不受檔案输入/输出 (I/O) 的负担。由于记忆体内资料库系统的上述特性和功能，市场正在见证各公司的显着成长。

SQL记忆体内市场预计将在包括商业、金融服务和保险业（BFSI）在内的各个垂直领域拥有最大的市场规模。记忆体内非常适合处理BFSI等各类业务中可用的高速交易，因此在BFSI领域被广泛接受。运行SQL记忆体内的资料伺服器的安装和维护成本高昂是阻碍该市场成长的限制因素之一。记忆体容量限制也是预测期内阻碍成长的因素之一。资料安全也是影响市场成长的问题。

目录

第 1 章：全球 SQL记忆体内市场简介

  • 市场概览
  • 研究范围
  • 先决条件

第二章执行摘要

第三章：已验证的市场研究调查方法

  • 资料探勘
  • 验证
  • 第一手资料
  • 资料来源列表

第四章 全球 SQL记忆体内市场展望

  • 概述
  • 市场动态
    • 驱动程式
    • 限制因素
    • 机会
  • 波特五力模型
  • 价值链分析

第五章。全球 SQL记忆体内市场（按类型）

  • 概述
  • SQL
  • 关係资料类型
  • NEWSQL

第六章 全球 SQL记忆体内市场（按应用）

  • 概述
  • 彙报
  • 交易
  • 分析

7. 全球 SQL记忆体内市场（按地区）

  • 概述
  • 北美洲
    • 美国
    • 加拿大
    • 墨西哥
  • 欧洲
    • 德国
    • 英国
    • 法国
    • 义大利
    • 西班牙
    • 其他欧洲国家
  • 亚太地区
    • 中国
    • 日本
    • 印度
    • 其他亚太地区
  • 世界其他地区
    • 拉丁美洲
    • 中东和非洲

第 8 章：全球 SQL记忆体内市场竞争格局

  • 概述
  • 各公司市场排名
  • 主要发展策略

第九章 公司简介

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

第十章 重大进展

  • 产品发布/开发
  • 合併与收购
  • 业务扩展
  • 伙伴关係与合作

第十一章 附录

  • 相关调查
简介目录
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