全球记忆体计算市场规模：按组件、按应用、按行业、按地区、范围和预测

记忆体计算市场规模及预测

2023 年记忆体运算市场规模为 114 亿美元，预计在 2024-2030 年预测期内复合年增长率为 16.5%，到 2030 年将达到 245 亿美元。

记忆体运算的全球市场推动因素

记忆体计算市场的市场推动因素可能受到多种因素的影响。

即时分析的需求

对即时数据分析和决策的需求不断增长，促使各行业的公司部署记忆体运算系统来快速处理和分析大量数据。

大数据和物联网的扩展

记忆体运算可以提供更快的数据处理能力，以满足社交媒体、感测器和物联网设备等多个来源创建的大数据的增加所需的能力。

性能和可扩展性

记忆体运算提供比传统的基于磁碟的系统更快的资料存取和处理速度。

对快速反应时间的需求

金融、电子商务和电信等领域的诈欺检测、推荐引擎和客户支援等应用需要低延迟回应时间。记忆体计算透过减少资料存取时间来帮助满足这些要求。

降低成本

透过减少昂贵的硬体更新、维护和能源使用的需要，记忆体运算解决方案可以实现长期成本节约，即使它们最初的成本比传统系统更高。

提升软硬体技术

软体优化技术和硬体技术的不断改进推动了记忆体运算解决方案的采用，例如多核心处理器和更快的记忆体模组的可用性不断提高。

即时商业智能

公司越来越依赖即时商业智慧来瞭解消费者行为、产业趋势和营运效率。即时 BI 应用程式透过记忆体运算实现，从而加快资料处理和分析速度。

数位转型举措

企业正在采用记忆体运算来升级其IT基础设施和应用程序，并在数位经济中变得更具创新性、竞争力和灵活性。

全球记忆体计算市场的阻碍因素

有几个因素可能会成为记忆体运算市场的限制和挑战。这些包括：

初始投资高

实施 IMC 解决方案通常需要大量的硬体、软体和经验。这可能会阻止预算有限的小型企业和公司实施 IMC 技术。

实施复杂度

实施 IMC 解决方案可能很困难，并且需要软体和硬体整合的知识。这种复杂性可能会阻碍那些不具备必要技术知识或资源的公司的实施。

资料安全问题

资料安全和隐私是敏感资料处理并储存在记忆体中进行记忆体运算时出现的问题。如果无法保证强而有力的安全措施，企业可能不愿意实施 IMC 解决方案。

相容性问题

将 IMC 解决方案与当前 IT 应用程式和基础架构整合可能很困难，特别是对于使用旧系统的公司而言。可能会出现相容性问题，并且需要更多的时间和精力来修復。

可扩展性有限

儘管 IMC 提供出色的效能和速度，但根据应用的不同，可扩展性可能会成为一个问题。企业可能会发现很难扩展其 IMC 基础设施来满足不断增长的资料量的需求。

供应商锁定

当组织采用特定供应商的 IMC 解决方案并依赖该供应商进行更新和持续维护时，就会发生这种情况。这会降低适应性并增加整体费用。

监理合规性

金融、医疗保健和政府等部门对资料处理和储存有严格的规定。IMC 实施可能会面临遵守这些法规的挑战，特别是在资料治理和可审计性领域。

效能权衡

儘管 IMC 提供了显着的效能优势，但它可能会损害资料的持久性和持久性。组织必须仔细评估这些权衡，以确保其 IMC 解决方案符合其独特的需求。

目录

第1章简介

• 市场定义
• 市场细分
• 调查方法

第 2 章执行摘要

• 主要发现
• 市场概况
• 市集亮点

第3章市场概况

• 市场规模和成长潜力
• 市场趋势
• 市场驱动力
• 市场制约因素
• 市场机会
• 波特五力分析

第4章记忆体计算市场：按组成部分

• 硬体
• 软体
• 服务

第5章记忆体计算市场：依应用分类

• 欺诈识别
• 风险管理
• 实时分析
• 高频交易

第6章记忆体计算市场：依产业分类

• 银行、金融服务和保险 (BFSI)
• 卫生保健
• 零售
• 电信

第7章区域分析

• 北美
• 美国
• 加拿大
• 墨西哥
• 欧洲
• 英国
• 德国
• 法国
• 义大利
• 亚太地区
• 中国
• 日本
• 印度
• 澳洲
• 拉丁美洲
• 巴西
• 阿根廷
• 智利
• 中东/非洲
• 南非
• 沙乌地阿拉伯
• 阿拉伯联合酋长国

第8章市场动态

• 市场驱动力
• 市场制约因素
• 市场机会
• COVID-19 的市场影响

第9章 竞争格局

• 大公司
• 市场占有率分析

第10章 公司简介

• GridGain Systems
• Redis Labs
• Hazelcast
• Apache Ignite
• GigaSpaces li>IBM Corporation
• Oracle Corporation
• Pivotal Software
• Inc.（acquired by VMware）
• Software AG
• TIBCO Software Inc.

第11章市场前景与机遇

• 新兴技术
• 未来市场趋势
• 投资机会

第12章附录

• 缩写表
• 来源和参考文献

In Memory Computing Market Size And Forecast

In Memory Computing Market size was valued at USD 11.4 billion in 2023 and is projected to reach USD 24.5 billion by 2030 , growing at a CAGR of 16.5% during the forecast period 2024-2030. Global In Memory Computing Market Drivers The market drivers for the In Memory Computing Market can be influenced by various factors. These may include:

Demand for Real-Time Analytics

: Businesses in a variety of sectors are implementing in-memory computing systems to quickly process and analyze massive amounts of data due to the growing requirement for real-time data analysis and decision-making.

Expanding Big Data and IoT

: In-memory computing can offer faster data processing capabilities, which are required due to the growth of big data created from multiple sources, including social media, sensors, and IoT devices.

Performance and Scalability

: Applications demanding high performance and scalability would benefit greatly from in-memory computing, which provides far faster data access and processing speeds than conventional disk-based systems.

Requirement for Quicker Response Times

: Low-latency response times are necessary for applications like fraud detection, recommendation engines, and customer support in sectors including finance, e-commerce, and telecommunications. By shortening data access times, in-memory computing assists in meeting these requirements.

Cost Reduction

: By lowering the need for costly hardware updates, maintenance, and energy usage, in-memory computing solutions can result in long-term cost reductions even if they may initially cost more than traditional systems.

Improvements in Software and Hardware Technologies

: The adoption of in-memory computing solutions is being propelled by ongoing improvements in software optimization techniques and hardware technologies, such as the growing availability of multi-core processors and high-speed memory modules.

Real-time business intelligence

: To understand consumer behavior, industry trends, and operational effectiveness, businesses are depending more and more on real-time business intelligence. Real-time BI applications are made possible by in-memory computing, which speeds up data processing and analysis.

Initiatives for Digital Transformation

: To upgrade their IT infrastructure and applications and become more innovative, competitive, and flexible in the digital economy, organizations are implementing in-memory computing..

Global In Memory Computing Market Restraints

Several factors can act as restraints or challenges for the In Memory Computing Market. These may include:

High Initial Investment

: Hardware, software, and experience are often needed in large quantities for the implementation of IMC solutions. This may discourage smaller businesses or those with tighter budgets from implementing IMC technology.

Implementation Complexity

: Implementing IMC solutions can be difficult and need knowledge of both software and hardware integration. Adoption may be hampered by this complexity for businesses without the requisite technological know-how or resources.

Data Security Issues

: Data security and privacy are issues that arise when sensitive data is processed and stored in memory for in-memory computing. If strong security measures aren't guaranteed, organizations could be reluctant to implement IMC solutions.

Compatibility Issues

: It can be difficult to integrate IMC solutions with current IT applications and infrastructure, especially for enterprises that use legacy systems. There could be compatibility problems, which would need more time and effort to fix.

Limited Scalability

: IMC has great performance and speed, but for some applications, scalability may be an issue. Organizations may find it more difficult to scale their IMC infrastructure in response to rising demand as data quantities rise.

Vendor lock-in

: It occurs when an organization adopts IMC solutions from a specific vendor and becomes reliant on that provider for updates and continuous maintenance. This may reduce adaptability and raise overall expenses.

Regulatory Compliance

: Tight regulations controlling data processing and storage apply to sectors like finance, healthcare, and government. IMC implementations may face difficulties adhering to these laws, especially in the areas of data governance and auditability.

Performance Trade-offs

: Although IMC provides notable performance advantages, data durability and persistence may be compromised. It is imperative for organizations to meticulously assess these trade-offs in order to guarantee that IMC solutions satisfy their unique needs..

Global In Memory Computing Market Segmentation Analysis

The Global In Memory Computing Market is Segmented on the basis of By Component, By Application, By Vertical and Geography.

By Component

Hardware

: memory modules, and servers are all included in the hardware category.

Software

: This section covers data analytics software, caching software, and in-memory databases.

Services

: Implementation, support, and consulting services are included in this category..

By Application

Fraud detection

: By evaluating vast volumes of data from numerous sources in real time, in-memory computing is utilized to identify fraudulent activities.

Risk management

: By examining market, customer, and other pertinent data, in-memory computing is utilized to evaluate and manage risks in real-time.

Real-time analytics

: Real-time analytics on massive volumes of data, including financial, social media, and sensor data, are carried out using in-memory computers.

High-frequency trading

: By evaluating market data and making judgments instantly, in-memory computing allows for the execution of high-frequency transactions in milliseconds..

By Vertical

The banking, financial services, and insurance (BFSI)

: These industry is the one that utilizes in-memory computing the most because of the necessity for real-time regulatory compliance, risk management, and fraud detection.

Healthcare

: To analyze patient data, enhance patient care, and carry out medical research, the healthcare industry is utilizing in-memory computing more and more.

Retail

: To enhance inventory management, fight fraud, and tailor the consumer experience, the retail industry is utilizing in-memory computing.

Telecoms

: To monitor network traffic, identify fraud, and enhance customer service, the telecoms industry uses in-memory computing..

By Geography

North America:

Market conditions and demand in the United States, Canada, and Mexico.

Europe:

Analysis of the In Memory Computing Market in European countries.

Asia-Pacific:

Focusing on countries like China, India, Japan, South Korea, and others.

Middle East and Africa:

Examining market dynamics in the Middle East and African regions.

Latin America:

Covering market trends and developments in countries across Latin America.

Key Players

The major players in the In Memory Computing Market are:

GridGain Systems

Redis Labs

Hazelcast

Apache Ignite

GigaSpaces

IBM Corporation

Oracle Corporation

Pivotal Software

Inc. (acquired by VMware)

Software AG

TIBCO Software Inc.

TABLE OF CONTENTS

1. Introduction

• Market Definition
• Market Segmentation
• Research Methodology

2. Executive Summary

• Key Findings
• Market Overview
• Market Highlights

3. Market Overview

• Market Size and Growth Potential
• Market Trends
• Market Drivers
• Market Restraints
• Market Opportunities
• Porter's Five Forces Analysis

4.

In Memory Computing Market, By Component

• Hardware
• Software
• Services

5. In Memory Computing Market, By Application

• Fraud detection
• Risk management
• Real-time analytics
• High-frequency trading

6. In Memory Computing Market, By Vertical

• The banking, financial services and insurance (BFSI)
• Healthcare
• Retail
• Telecoms

7. Regional Analysis

• North America
• United States
• Canada
• Mexico
• Europe
• United Kingdom
• Germany
• France
• Italy
• Asia-Pacific
• China
• Japan
• India
• Australia
• Latin America
• Brazil
• Argentina
• Chile
• Middle East and Africa
• South Africa
• Saudi Arabia
• UAE

8. Market Dynamics

• Market Drivers
• Market Restraints
• Market Opportunities
• Impact of COVID-19 on the Market

9. Competitive Landscape

• Key Players
• Market Share Analysis

10. Company Profiles

• GridGain Systems
• Redis Labs
• Hazelcast
• Apache Ignite
• GigaSpaces
• IBM Corporation
• Oracle Corporation
• Pivotal Software
• Inc. (acquired by VMware)
• Software AG
• TIBCO Software Inc.

11. Market Outlook and Opportunities

• Emerging Technologies
• Future Market Trends
• Investment Opportunities

12. Appendix

• List of Abbreviations
• Sources and References