记忆体内资料网格的全球市场:趋势，机会，竞争分析

全球记忆体内资料网格的市场规模，从2021年到2026年之间预计以10％～12％的年复合成长率成长。这个市场的主要促进因素，是为了强化主记忆体的有限存储容量对分散架构的需求高涨，和关连式资料模型及资料库的必要性排除。

本报告提供全球记忆体内资料网格市场的相关调查，市场趋势，预测分析，竞争分析，企业简介等全面性资讯。

目录

第1章 摘要整理

第2章 市场背景与分类

• 简介，背景，及分类
• 供应链
• 产业的原动力与课题

第3章 市场趋势与预测分析(2021年～2026年)

• 宏观经济趋势(2015年～2020年)与预测(2021年～2026年)
• 全球记忆体内资料网格市场趋势(2015年～2020年)与预测(2021年～2026年)
• 全球记忆体内资料网格市场:各用途
  • 交易处理
  • 违法行为和风险管理
  • 供应链的最佳化
  • 销售及行销的最佳化
• 全球记忆体内资料网格市场:各最终用途产业
  • 银行，金融服务，保险
  • 媒体和娱乐
  • 消费品与零售
  • 医疗和生命科学
  • 製造业
  • 电信和IT
  • 运输
  • 物流
  • 其他

第4章 市场趋势与预测分析(2021年～2026年):各地区

• 全球记忆体内资料网格市场:各地区
• 北美的记忆体内资料网格市场
• 欧洲的记忆体内资料网格市场
• 亚太地区的记忆体内资料网格市场
• 其他的记忆体内资料网格市场

第5章 竞争分析

• 产品系列分析
• 地理范围
• 波特的五力分析

第6章 成长机会及策略分析

• 成长机会分析
  • 全球记忆体内资料网格市场成长机会:各用途
  • 全球记忆体内资料网格市场成长机会:各最终用途产业
  • 全球记忆体内资料网格市场成长机会:各地区
• 全球记忆体内资料网格市场新的趋势
• 策略分析
  • 新产品的开发
  • 全球记忆体内资料网格市场生产能力扩大
  • 技术开发
  • 全球记忆体内资料网格产业的合併和收购

第7章 主要企业的企业简介

• IBM
• Oracle
• Red Hat
• Software AG
• Pivotal, Hitachi
• Hazelcast
• TIBCO
• GridGain
• ScaleOut Software

The future of the in-memory data grid market looks promising with opportunities in various end use industries, which are banking, financial services, & insurance, media & entertainment, consumer goods & retail, healthcare & life sciences, manufacturing, telecom & IT, transportation, and logistics. The global in-memory data grid market is expected to grow with a CAGR of 10% to 12% from 2021 to 2026. The major drivers for this market are increasing need for distributed architecture to enhance the limited storage capacity of the main memory and eliminating the need for relational data model and database.

A more than 150 page report is developed to help in your business decisions. Sample figures with some insights are shown below. To learn the scope of, benefits, companies researched and other details of in-memory data grid market report download the report brochure.

The study includes trends and forecasts for the global in-memory data grid market by application, end use industry, and region as follows:

By Application [$M shipment analysis for 2015 - 2026]:

• Transaction Processing
• Fraud and Risk Management
• Supply Chain Optimization
• Sales and Marketing Optimization

By End Use Industry [$M shipment analysis for 2015 - 2026]:

• Banking, Financial Services, and Insurance
• Media and Entertainment
• Consumer Goods and Retail
• Healthcare and Life Sciences
• Manufacturing
• Telecom and IT
• Transportation
• Logistics
• Others

By Region [$M shipment analysis for 2015 - 2026]:

• North America
• United States
• Canada
• Mexico
• Europe
• Germany
• United Kingdom
• France
• Italy
• Asia Pacific
• China
• Japan
• India
• South Korea
• The Rest of the World

Transaction processing will remain the largest application segment over the forecast period because various industries have undertaken initiatives for digital transformation, which has led to an increase in transactional applications.

BFSI will remain the largest end use industry during the forecast period due to growing digitalization of banking services.

North America will remain the largest region over the forecast period due to high concentration of large multinational companies.

Some of the in-memory data grid market companies profiled in this report include IBM, Oracle, Red Hat, Software AG, Pivotal, Hitachi, Hazelcast, TIBCO, GridGain, ScaleOut Software, GigaSpaces, Alachisoft, and TmaxSoft.

Features of In-Memory Data Grid Market

• Market Size Estimates:In-memory data grid market size estimation in terms of value ($M)
• Trend And Forecast Analysis:Market trends (2015-2020) and forecast (2021-2026) by various segments and regions.
• Segmentation Analysis:Market size by application and end use industry
• Regional Analysis:In-memory data grid market breakdown by North America, Europe, Asia Pacific, and the Rest of the World.
• Growth Opportunities:Analysis on growth opportunities in different end use industries, application, and regions for in-memory data grid market.
• Strategic Analysis:This includes M&A, new product development, and competitive landscape for the in-memory data grid market.
• Analysis of competitive intensity of the industry based on Porter's Five Forces model.

This report answers following 11 key questions

• Q.1 What are some of the most promising potential, high-growth opportunities for the global in-memory data grid market by application (transaction processing, fraud and risk management, supply chain optimization, sales and marketing optimization), end use industry (banking, financial services, and insurance, media and entertainment, consumer goods and retail, healthcare and life sciences, manufacturing, telecom and it, transportation, logistics, others), and region (North America, Europe, Asia Pacific, and the Rest of the World)?
• Q.2 Which segments will grow at a faster pace and why?
• Q.3 Which regions will grow at a faster pace and why?
• Q.4 What are the key factors affecting market dynamics? What are the drivers and challenges of the in-memory data grid market?
• Q.5 What are the business risks and threats to the in-memory data grid market?
• Q.6 What are the emerging trends in the in-memory data grid market and the reasons behind them?
• Q.7 What are some changing demands of customers in the in-memory data grid market?
• Q.8 What are the new developments in the in-memory data grid market? Which companies are leading these developments?
• Q.9 Who are the major players in the in-memory data grid market? What strategic initiatives are being implemented by key players for business growth?
• Q.10 What are some of the competitive products and processes in the in-memory data grid market, and how big of a threat do they pose for loss of market share via material or product substitution?
• Q.11 What M&A activities did take place in the last five years in the in-memory data grid market?

Table of Contents

Executive Summary

Market Background and Classifications

• Introduction, Background, and Classifications
• Supply Chain
• Industry Drivers and Challenges

Market Trends and Forecast Analysis from 2021 to 2026

• Macroeconomic Trends (2015-2020) and Forecast (2021-2026)
• Global In-memory data grid Market Trends (2015-2020) and Forecast (2021-2026)
• Global In-memory data grid Market by Application
  • Transaction Processing
  • Fraud and Risk Management
  • Supply Chain Optimization
  • Sales and Marketing Optimization
• Global In-memory Data Grid Market by End Use Industry
  • Banking, Financial Services, and Insurance
  • Media and Entertainment
  • Consumer Goods and Retail
  • Healthcare and Life Sciences
  • Manufacturing
  • Telecom and IT
  • Transportation
  • Logistics
  • Others

Market Trends and Forecast Analysis by Region from 2021 to 2026

• Global In-memory Data Grid Market by Region
• North American In-memory Data Grid Market
  • Market by Application
  • Market by End Use Industry
  • The US In-memory Data Grid Market
  • The Canadian In-memory Data Grid Market
  • The Mexican In-memory Data Grid Market
• European In-memory Data Grid Market
  • Market by Application
  • Market by End Use Industry
  • German In-memory Data Grid Market
  • United Kingdom In-memory Data Grid Market
  • French In-memory Data Grid Market
  • Italian In-memory Data Grid Market
• APAC In-memory Data Grid Market
  • Market by Application
  • Market by End Use Industry
  • Chinese In-memory Data Grid Market
  • Japanese In-memory Data Grid Market
  • Indian In-memory Data Grid Market
  • South Korean In-memory Data Grid Market
• ROW In-memory Data Grid Market
  • Market by Application
  • Market by End Use Industry

Competitor Analysis

• Product Portfolio Analysis
• Geographical Reach
• Porter's Five Forces Analysis

Growth Opportunities and Strategic Analysis

• Growth Opportunity Analysis
  • Growth Opportunities for the Global In-memory Data Grid Market by Application
  • Growth Opportunities for the Global In-memory Data Grid Market by End Use Industry
  • Growth Opportunities for the Global In-memory Data Grid Market by Region
• Emerging Trends in the Global In-memory Data Grid Market
• Strategic Analysis
  • New Product Development
  • Capacity Expansion of the Global In-memory Data Grid Market
  • Technology Development
  • Mergers and Acquisitions in the Global In-memory Data Grid Industry

Company Profiles of Leading Players

• IBM
• Oracle
• Red Hat
• Software AG
• Pivotal, Hitachi
• Hazelcast
• TIBCO
• GridGain
• ScaleOut Software