表紙:インメモリーアナリティクスの世界市場 (2021-2026年):産業動向・市場シェア・市場規模・成長予測・成長機会
市場調査レポート
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1037261

インメモリーアナリティクスの世界市場 (2021-2026年):産業動向・市場シェア・市場規模・成長予測・成長機会

In-Memory Analytics Market: Global Industry Trends, Share, Size, Growth, Opportunity and Forecast 2021-2026

出版日: | 発行: IMARC Services Private Limited | ページ情報: 英文 145 Pages | 納期: 2~3営業日

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インメモリーアナリティクスの世界市場 (2021-2026年):産業動向・市場シェア・市場規模・成長予測・成長機会
出版日: 2021年11月10日
発行: IMARC Services Private Limited
ページ情報: 英文 145 Pages
納期: 2~3営業日
  • 全表示
  • 概要
  • 目次
概要

世界のインメモリーアナリティクスの市場規模は2015年から2020年にかけて力強い成長を示し、予測期間中も23%のCAGRで成長すると予測されています。

サービスやビジネスの変革に向けたデジタル技術の導入が大幅に増加し、データベース内のデータが大量に増加していることから、情報への迅速なアクセスと容易な分析を可能にするインメモリーアナリティクスのニーズが高まっています。

当レポートでは、世界のインメモリーアナリティクスの市場を調査し、市場概要、市場規模の推移・予測、用途・組織規模・産業・地域/主要国など各種区分別の内訳、競合環境、主要企業のプロファイルなどをまとめています。

目次

第1章 序文

第2章 調査範囲・調査手法

第3章 エグゼクティブサマリー

第4章 イントロダクション

第5章 世界のインメモリーアナリティクス市場

  • 市場概要
  • 市場業績
  • COVID-19の影響

第6章 市場の内訳:用途別

  • カスタマーエクスペリエンス管理
  • デザイン・イノベーション
  • 運用の最適化
  • マーケティング管理
  • リアルタイムアナリティクス・意思決定
  • その他

第7章 市場の内訳:組織規模別

  • 中小企業
  • 大企業

第8章 市場の内訳:産業別

  • BFSI
  • 小売・Eコマース
  • 政府・防衛
  • ヘルスケア
  • 製造
  • IT・通信
  • その他

第9章 市場の内訳:地域別

  • 北米
  • アジア太平洋
  • 欧州
  • ラテンアメリカ
  • 中東・アフリカ

第10章 SWOT分析

第11章 バリューチェーン分析

第12章 ポーターズファイブフォース分析

第13章 価格分析

第14章 競合情勢

  • 市場構造
  • 主要企業
  • 主要企業のプロファイル
    • ActiveViam
    • Amazon Web Services Inc.
    • Hitachi Ltd.
    • Information Builders Inc.(Tibco Software Inc.)
    • International Business Machines Corporation
    • Kognitio Ltd
    • Microstrategy Incorporated
    • Oracle Corporation
    • Qlik Technologies
    • SAP SE
    • SAS Institute Inc.
    • Software AG
目次
Product Code: SR1020G282_Report

The global in-memory analytics market exhibited strong growth during 2015-2020. Looking forward, IMARC Group expects the market to grow at a CAGR of 23% during 2021-2026. Keeping in mind the uncertainties of COVID-19, we are continuously tracking and evaluating the direct as well as the indirect influence of the pandemic on different end use industries. These insights are included in the report as a major market contributor.

In-memory analytics query data in random access memory (RAM) can be used by multiple users across different applications rapidly, securely, and concurrently. It provides deep insights with speed and precision, resulting in informed and proactive decisions. It also increases revenue, manages risks, and assists in new product or service innovation. Consequently, organizations worldwide are adopting in-memory analytics as it helps them minimize the time spent on query analysis, cube building, aggregate table designing, and other time-consuming tasks. It further enables them to simplify access to data sources, deliver immediate actions and responses, and meet evolving consumer demands.

In-Memory Analytics Market Trends:

  • A considerable rise in the adoption of digital technology to transform services or businesses is resulting in a massive proliferation of data in databases. This acts as a primary factor promoting the need for in-memory analytics for fast access to information and easy analysis. Moreover, it is a cost-effective alternative to data warehouses for small and medium-sized enterprises (SMEs) that lack the expertise and resources to construct a data warehouse. In-memory analytics provides the ability to analyze data of varied sizes and complexities with unprecedented speed at an affordable cost. Apart from this, the growing utilization of online banking services is positively influencing the application of in-memory analytics in the banking, financial services, and insurance (BFSI) sector worldwide for risk and transaction management and detection of fraud payments. Furthermore, it is utilized in applications involving geographic information system (GIS) processing. The widespread use of GIS processing for real-time directions on traffic congestion, recommended routes, and traffic hazards in the logistics and transportation industry is anticipated to drive the market.

Key Market Segmentation:

  • IMARC Group provides an analysis of the key trends in each sub-segment of the global in-memory analytics market, along with forecasts at the global, regional and country level from 2021-2026. Our report has categorized the market based on region, application, organization size and vertical.

Breakup by Application:

  • Customer Experience Management
  • Design and Innovation
  • Operation Optimization
  • Marketing Management
  • Real-Time Analysis and Decision-making
  • Others

Breakup by Organization Size:

  • Small and Medium Enterprises
  • Large Enterprises

Breakup by Vertical:

  • BFSI
  • Retail and E-commerce
  • Government and Defense
  • Healthcare
  • Manufacturing
  • IT and Telecommunication
  • Others

Breakup by Region:

  • North America
  • United States
  • Canada
  • Asia-Pacific
  • China
  • Japan
  • India
  • South Korea
  • Australia
  • Indonesia
  • Others
  • Europe
  • Germany
  • France
  • United Kingdom
  • Italy
  • Spain
  • Russia
  • Others
  • Latin America
  • Brazil
  • Mexico
  • Others
  • Middle East and Africa

Competitive Landscape:

The competitive landscape of the industry has also been examined along with the profiles of the key players being ActiveViam, Amazon Web Services Inc., Hitachi Ltd., Information Builders Inc. (Tibco Software Inc.), International Business Machines Corporation, Kognitio Ltd, Microstrategy Incorporated, Oracle Corporation, Qlik Technologies, SAP SE, SAS Institute Inc. and Software AG. Key Questions Answered in This Report:

  • How has the global in-memory analytics market performed so far and how will it perform in the coming years?
  • What has been the impact of COVID-19 on the global in-memory analytics market?
  • What are the key regional markets?
  • What is the breakup of the market based on the application?
  • What is the breakup of the market based on the organization size?
  • What is the breakup of the market based on the vertical?
  • What are the various stages in the value chain of the industry?
  • What are the key driving factors and challenges in the industry?
  • What is the structure of the global in-memory analytics market and who are the key players?
  • What is the degree of competition in the industry?

Table of Contents

1 Preface

2 Scope and Methodology

  • 2.1 Objectives of the Study
  • 2.2 Stakeholders
  • 2.3 Data Sources
    • 2.3.1 Primary Sources
    • 2.3.2 Secondary Sources
  • 2.4 Market Estimation
    • 2.4.1 Bottom-Up Approach
    • 2.4.2 Top-Down Approach
  • 2.5 Forecasting Methodology

3 Executive Summary

4 Introduction

  • 4.1 Overview
  • 4.2 Key Industry Trends

5 Global In-Memory Analytics Market

  • 5.1 Market Overview
  • 5.2 Market Performance
  • 5.3 Impact of COVID-19
  • 5.4 Market Forecast

6 Market Breakup by Application

  • 6.1 Customer Experience Management
    • 6.1.1 Market Trends
    • 6.1.2 Market Forecast
  • 6.2 Design and Innovation
    • 6.2.1 Market Trends
    • 6.2.2 Market Forecast
  • 6.3 Operation Optimization
    • 6.3.1 Market Trends
    • 6.3.2 Market Forecast
  • 6.4 Marketing Management
    • 6.4.1 Market Trends
    • 6.4.2 Market Forecast
  • 6.5 Real-Time Analysis and Decision-making
    • 6.5.1 Market Trends
    • 6.5.2 Market Forecast
  • 6.6 Others
    • 6.6.1 Market Trends
    • 6.6.2 Market Forecast

7 Market Breakup by Organization Size

  • 7.1 Small and Medium Enterprises
    • 7.1.1 Market Trends
    • 7.1.2 Market Forecast
  • 7.2 Large Enterprises
    • 7.2.1 Market Trends
    • 7.2.2 Market Forecast

8 Market Breakup by Vertical

  • 8.1 BFSI
    • 8.1.1 Market Trends
    • 8.1.2 Market Forecast
  • 8.2 Retail and E-commerce
    • 8.2.1 Market Trends
    • 8.2.2 Market Forecast
  • 8.3 Government and Defense
    • 8.3.1 Market Trends
    • 8.3.2 Market Forecast
  • 8.4 Healthcare
    • 8.4.1 Market Trends
    • 8.4.2 Market Forecast
  • 8.5 Manufacturing
    • 8.5.1 Market Trends
    • 8.5.2 Market Forecast
  • 8.6 IT and Telecommunication
    • 8.6.1 Market Trends
    • 8.6.2 Market Forecast
  • 8.7 Others
    • 8.7.1 Market Trends
    • 8.7.2 Market Forecast

9 Market Breakup by Region

  • 9.1 North America
    • 9.1.1 United States
      • 9.1.1.1 Market Trends
      • 9.1.1.2 Market Forecast
    • 9.1.2 Canada
      • 9.1.2.1 Market Trends
      • 9.1.2.2 Market Forecast
  • 9.2 Asia-Pacific
    • 9.2.1 China
      • 9.2.1.1 Market Trends
      • 9.2.1.2 Market Forecast
    • 9.2.2 Japan
      • 9.2.2.1 Market Trends
      • 9.2.2.2 Market Forecast
    • 9.2.3 India
      • 9.2.3.1 Market Trends
      • 9.2.3.2 Market Forecast
    • 9.2.4 South Korea
      • 9.2.4.1 Market Trends
      • 9.2.4.2 Market Forecast
    • 9.2.5 Australia
      • 9.2.5.1 Market Trends
      • 9.2.5.2 Market Forecast
    • 9.2.6 Indonesia
      • 9.2.6.1 Market Trends
      • 9.2.6.2 Market Forecast
    • 9.2.7 Others
      • 9.2.7.1 Market Trends
      • 9.2.7.2 Market Forecast
  • 9.3 Europe
    • 9.3.1 Germany
      • 9.3.1.1 Market Trends
      • 9.3.1.2 Market Forecast
    • 9.3.2 France
      • 9.3.2.1 Market Trends
      • 9.3.2.2 Market Forecast
    • 9.3.3 United Kingdom
      • 9.3.3.1 Market Trends
      • 9.3.3.2 Market Forecast
    • 9.3.4 Italy
      • 9.3.4.1 Market Trends
      • 9.3.4.2 Market Forecast
    • 9.3.5 Spain
      • 9.3.5.1 Market Trends
      • 9.3.5.2 Market Forecast
    • 9.3.6 Russia
      • 9.3.6.1 Market Trends
      • 9.3.6.2 Market Forecast
    • 9.3.7 Others
      • 9.3.7.1 Market Trends
      • 9.3.7.2 Market Forecast
  • 9.4 Latin America
    • 9.4.1 Brazil
      • 9.4.1.1 Market Trends
      • 9.4.1.2 Market Forecast
    • 9.4.2 Mexico
      • 9.4.2.1 Market Trends
      • 9.4.2.2 Market Forecast
    • 9.4.3 Others
      • 9.4.3.1 Market Trends
      • 9.4.3.2 Market Forecast
  • 9.5 Middle East and Africa
    • 9.5.1 Market Trends
    • 9.5.2 Market Breakup by Country
    • 9.5.3 Market Forecast

10 SWOT Analysis

  • 10.1 Overview
  • 10.2 Strengths
  • 10.3 Weaknesses
  • 10.4 Opportunities
  • 10.5 Threats

11 Value Chain Analysis

12 Porters Five Forces Analysis

  • 12.1 Overview
  • 12.2 Bargaining Power of Buyers
  • 12.3 Bargaining Power of Suppliers
  • 12.4 Degree of Competition
  • 12.5 Threat of New Entrants
  • 12.6 Threat of Substitutes

13 Price Analysis

14 Competitive Landscape

  • 14.1 Market Structure
  • 14.2 Key Players
  • 14.3 Profiles of Key Players
    • 14.3.1 ActiveViam
      • 14.3.1.1 Company Overview
      • 14.3.1.2 Product Portfolio
    • 14.3.2 Amazon Web Services Inc.
      • 14.3.2.1 Company Overview
      • 14.3.2.2 Product Portfolio
      • 14.3.2.3 Financials
      • 14.3.2.4 SWOT Analysis
    • 14.3.3 Hitachi Ltd.
      • 14.3.3.1 Company Overview
      • 14.3.3.2 Product Portfolio
      • 14.3.3.3 Financials
      • 14.3.3.4 SWOT Analysis
    • 14.3.4 Information Builders Inc. (Tibco Software Inc.)
      • 14.3.4.1 Company Overview
      • 14.3.4.2 Product Portfolio
    • 14.3.5 International Business Machines Corporation
      • 14.3.5.1 Company Overview
      • 14.3.5.2 Product Portfolio
      • 14.3.5.3 Financials
      • 14.3.5.4 SWOT Analysis
    • 14.3.6 Kognitio Ltd
      • 14.3.6.1 Company Overview
      • 14.3.6.2 Product Portfolio
    • 14.3.7 Microstrategy Incorporated
      • 14.3.7.1 Company Overview
      • 14.3.7.2 Product Portfolio
      • 14.3.7.3 Financials
      • 14.3.7.4 SWOT Analysis
    • 14.3.8 Oracle Corporation
      • 14.3.8.1 Company Overview
      • 14.3.8.2 Product Portfolio
      • 14.3.8.3 Financials
      • 14.3.8.4 SWOT Analysis
    • 14.3.9 Qlik Technologies
      • 14.3.9.1 Company Overview
      • 14.3.9.2 Product Portfolio
    • 14.3.10 SAP SE
      • 14.3.10.1 Company Overview
      • 14.3.10.2 Product Portfolio
      • 14.3.10.3 Financials
      • 14.3.10.4 SWOT Analysis
    • 14.3.11 SAS Institute Inc.
      • 14.3.11.1 Company Overview
      • 14.3.11.2 Product Portfolio
      • 14.3.11.3 SWOT Analysis
    • 14.3.12 Software AG
      • 14.3.12.1 Company Overview
      • 14.3.12.2 Product Portfolio
      • 14.3.12.3 Financials