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インメモリデータグリッドの世界市場：動向、機会、競合分析

In Memory Data Grid Market: Market Size, Trends and Growth Analysis
出版日: | 発行: Lucintel | ページ情報: 英文 150 Pages | 納期: 3営業日

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インメモリデータグリッドの世界市場：動向、機会、競合分析
出版日: 2022年12月01日
発行: Lucintel
ページ情報: 英文 150 Pages
納期: 3営業日
ご注意事項 :
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  • 全表示
  • 概要
  • 目次
概要

世界のインメモリデータグリッドの市場規模は、2021年から2026年の間に10%から12%のCAGRで成長する見込みです。この市場の主な促進要因は、メインメモリの限られた記憶容量を強化するための分散アーキテクチャのニーズの高まりと、リレーショナルデータモデルおよびデータベースの必要性の排除です。

当レポートでは、世界のインメモリデータグリッド市場について調査しており、市場動向、予測分析、競合分析、企業プロファイルなど、包括的な情報を提供しています。

目次

第1章 エグゼクティブサマリー

第2章 市場の背景と分類

  • イントロダクション、背景、および分類
  • サプライチェーン
  • 業界の原動力と課題

第3章 市場動向と予測分析（2021年～2026年）

  • マクロ経済の動向（2015年～2020年）と予測（2021年～2026年）
  • 世界のインメモリデータグリッド市場の動向（2015年～2020年）と予測（2021年～2026年）
  • 世界のインメモリデータグリッド市場：用途別
    • 取引処理
    • 不正行為とリスク管理
    • サプライチェーンの最適化
    • 販売およびマーケティングの最適化
  • 世界のインメモリデータグリッド市場：最終用途産業別
    • 銀行、金融サービス、保険
    • メディアとエンターテイメント
    • 消費財と小売
    • 医療とライフサイエンス
    • 製造業
    • テレコムとIT
    • 輸送
    • ロジスティクス
    • その他

第4章 市場動向と予測分析（2021年～2026年）：地域別

  • 世界のインメモリデータグリッド市場：地域別
  • 北米のインメモリデータグリッド市場
  • 欧州のインメモリデータグリッド市場
  • アジア太平洋のインメモリデータグリッド市場
  • その他のインメモリデータグリッド市場

第5章 競合分析

  • 製品ポートフォリオ分析
  • 地理的範囲
  • ポーターのファイブフォース分析

第6章 成長機会と戦略分析

  • 成長機会分析
    • 世界のインメモリデータグリッド市場の成長機会：用途別
    • 世界のインメモリデータグリッド市場の成長機会：最終用途産業別
    • 世界のインメモリデータグリッド市場の成長機会：地域別
  • 世界のインメモリデータグリッド市場の新たな動向
  • 戦略分析
    • 新製品の開発
    • 世界のインメモリデータグリッド市場の生産能力拡大
    • 技術開発
    • 世界のインメモリデータグリッド業界における合併と買収

第7章 主要企業の企業プロファイル

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

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