全球記憶體計算市場規模：按組件、按應用、按行業、按地區、範圍和預測

記憶體計算市場規模及預測

2023 年記憶體運算市場規模為 114 億美元，預計在 2024-2030 年預測期內複合年增長率為 16.5%，到 2030 年將達到 245 億美元。

記憶體運算的全球市場推動因素

記憶體計算市場的市場推動因素可能受到多種因素的影響。

即時分析的需求

對即時數據分析和決策的需求不斷增長，促使各行業的公司部署記憶體運算系統來快速處理和分析大量數據。

大數據和物聯網的擴展

記憶體運算可以提供更快的數據處理能力，以滿足社交媒體、感測器和物聯網設備等多個來源創建的大數據的增加所需的能力。

性能和可擴展性

記憶體運算提供比傳統的基於磁碟的系統更快的資料存取和處理速度。

對快速反應時間的需求

金融、電子商務和電信等領域的詐欺檢測、推薦引擎和客戶支援等應用需要低延遲回應時間。記憶體計算透過減少資料存取時間來幫助滿足這些要求。

降低成本

透過減少昂貴的硬體更新、維護和能源使用的需要，記憶體運算解決方案可以實現長期成本節約，即使它們最初的成本比傳統系統更高。

提升軟硬體技術

軟體優化技術和硬體技術的不斷改進推動了記憶體運算解決方案的採用，例如多核心處理器和更快的記憶體模組的可用性不斷提高。

即時商業智能

公司越來越依賴即時商業智慧來瞭解消費者行為、產業趨勢和營運效率。即時 BI 應用程式透過記憶體運算實現，從而加快資料處理和分析速度。

數位轉型舉措

企業正在採用記憶體運算來升級其IT基礎設施和應用程序，並在數位經濟中變得更具創新性、競爭力和靈活性。

全球記憶體計算市場的阻礙因素

有幾個因素可能會成為記憶體運算市場的限制和挑戰。這些包括：

初始投資高

實施 IMC 解決方案通常需要大量的硬體、軟體和經驗。這可能會阻止預算有限的小型企業和公司實施 IMC 技術。

實施複雜度

實施 IMC 解決方案可能很困難，並且需要軟體和硬體整合的知識。這種複雜性可能會阻礙那些不具備必要技術知識或資源的公司的實施。

資料安全問題

資料安全和隱私是敏感資料處理並儲存在記憶體中進行記憶體運算時出現的問題。如果無法保證強而有力的安全措施，企業可能不願意實施 IMC 解決方案。

相容性問題

將 IMC 解決方案與當前 IT 應用程式和基礎架構整合可能很困難，特別是對於使用舊系統的公司而言。可能會出現相容性問題，並且需要更多的時間和精力來修復。

可擴展性有限

儘管 IMC 提供出色的效能和速度，但根據應用的不同，可擴展性可能會成為一個問題。企業可能會發現很難擴展其 IMC 基礎設施來滿足不斷增長的資料量的需求。

供應商鎖定

當組織採用特定供應商的 IMC 解決方案並依賴該供應商進行更新和持續維護時，就會發生這種情況。這會降低適應性並增加整體費用。

監理合規性

金融、醫療保健和政府等部門對資料處理和儲存有嚴格的規定。IMC 實施可能會面臨遵守這些法規的挑戰，特別是在資料治理和可審計性領域。

效能權衡

儘管 IMC 提供了顯著的效能優勢，但它可能會損害資料的持久性和持久性。組織必須仔細評估這些權衡，以確保其 IMC 解決方案符合其獨特的需求。

目錄

第1章簡介

• 市場定義
• 市場細分
• 調查方法

第 2 章執行摘要

• 主要發現
• 市場概況
• 市集亮點

第3章市場概況

• 市場規模和成長潛力
• 市場趨勢
• 市場驅動力
• 市場制約因素
• 市場機會
• 波特五力分析

第4章記憶體計算市場：按組成部分

• 硬體
• 軟體
• 服務

第5章記憶體計算市場：依應用分類

• 欺詐識別
• 風險管理
• 實時分析
• 高頻交易

第6章記憶體計算市場：依產業分類

• 銀行、金融服務和保險 (BFSI)
• 衛生保健
• 零售
• 電信

第7章區域分析

• 北美
• 美國
• 加拿大
• 墨西哥
• 歐洲
• 英國
• 德國
• 法國
• 義大利
• 亞太地區
• 中國
• 日本
• 印度
• 澳洲
• 拉丁美洲
• 巴西
• 阿根廷
• 智利
• 中東/非洲
• 南非
• 沙烏地阿拉伯
• 阿拉伯聯合酋長國

第8章市場動態

• 市場驅動力
• 市場制約因素
• 市場機會
• COVID-19 的市場影響

第9章 競爭格局

• 大公司
• 市場佔有率分析

第10章 公司簡介

• 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章市場前景與機遇

• 新興技術
• 未來市場趨勢
• 投資機會

第12章附錄

• 縮寫表
• 來源和參考文獻

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