表紙:インメモリアナリティクス市場:2021年~2026年の予測
市場調査レポート
商品コード
1032896

インメモリアナリティクス市場:2021年~2026年の予測

In-Memory Analytics Market - Forecasts from 2021 to 2026

出版日: | 発行: Knowledge Sourcing Intelligence | ページ情報: 英文 114 Pages | 納期: 即日から翌営業日

価格
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本日の銀行送金レート: 1USD=135.61円
インメモリアナリティクス市場:2021年~2026年の予測
出版日: 2021年08月17日
発行: Knowledge Sourcing Intelligence
ページ情報: 英文 114 Pages
納期: 即日から翌営業日
  • 全表示
  • 概要
  • 目次
概要

インメモリアナリティクスの市場規模は、2019年に16億900万米ドルとなりました。同市場は、予測期間中に21.34%のCAGRで拡大し、2026年には62億3100万米ドルに達すると予測されています。インメモリアナリティクスは、ハードディスクではなくメインメモリに保存されたデータに対して、ユーザーがクエリを実行したり、対話したりすることを支援する分析プラットフォームです。これにより、クエリのレスポンスの高速化、高性能化、運用コストの削減など多くのメリットがあります。従来のディスクベースのシステムと比較して、BIシステムの全体的なスピードを向上させ、顧客に迅速なソリューションを提供することができます。この技術は、データがシステムのRAMにある間にクエリを実行できるため、応答時間の大幅な短縮が可能になります。企業がビジネス・インテリジェンス(BI)と迅速な意思決定を重視するようになったことで、インメモリアナリティクスの需要は急速に拡大しており、これがこの市場の成長を促進しています。

さらに、世界の主要地域でビッグデータ分析が急速に普及していることも、この市場の成長を後押ししています。ビジネスプロセスの継続的なデジタル化により、日々膨大な量のデータが生成されています。このため、企業はビッグデータ分析機能をサポートする先進的なソリューションを導入する必要性が高まっており、その結果、インメモリアナリティクスの需要が高まっています。

当レポートでは、インメモリアナリティクス市場について調査し、市場の概要とともに、コンポーネント別、デプロイモデル別、企業規模別、最終用途産業別、地域別の動向、および市場に参入する企業のプロファイルなどを提供しています。

目次

第1章 イントロダクション

  • 市場の定義
  • 市場セグメンテーション

第2章 調査手法

  • 調査データ
  • 仮定

第3章 エグゼクティブサマリー

  • 調査のハイライト

第4章 市場力学

  • 市場の促進要因
  • 市場の抑制要因
  • ポーターのファイブフォース分析
    • 売り手の交渉力
    • 買い手の交渉力
    • 新規参入企業の脅威
    • 代替品の脅威
    • 機能における競合企業との関係
  • 業界のバリューチェーン分析

第5章 インメモリアナリティクス市場分析、コンポーネント別

  • イントロダクション
  • ソフトウェア
  • サービス

第6章 インメモリアナリティクス市場分析、デプロイモデル別

  • イントロダクション
  • オンプレミス
  • クラウド

第7章 インメモリアナリティクス市場分析、企業規模別

  • イントロダクション

第8章 インメモリアナリティクス市場分析、最終用途産業別

  • イントロダクション
  • BFSI
  • 小売
  • 政府
  • 通信・技術
  • 輸送・ロジスティクス
  • その他

第9章 インメモリアナリティクス市場分析、地域別

  • イントロダクション
  • 北米
    • 米国
    • カナダ
    • メキシコ
    • その他
  • 南米
    • ブラジル
    • アルゼンチン
    • その他
  • 欧州
    • 英国
    • ドイツ
    • フランス
    • イタリア
    • スペイン
  • 中東・アフリカ
    • サウジアラビア
    • イスラエル
    • その他
  • アジア太平洋地域
    • 日本
    • 中国
    • インド
    • インドネシア
    • 台湾
    • タイ
    • その他

第10章 競合情報

  • 競合ベンチマーキングと分析
  • 最近の投資と取引
  • キープレーヤーの戦略

第11章 企業プロファイル

  • Google, Inc.
  • IBM Corporation
  • Microsoft Corporation
  • ESRI
  • Telstra Corporation Limited
  • Amazon Web Services, Inc.
  • SAP SE
  • Oracle Corporation
  • Hitachi, Ltd.
  • SAS Institute Inc.
目次
Product Code: KSI061611986

The in-memory analytics market was valued at US$1.609 billion in 2019 and is expected to grow at a CAGR of 21.34% over the forecast period to reach a market size of US$6.231 billion by 2026. In-memory analytics is an analytical platform that helps users to run queries and interact with the data stored in the main memory instead of the hard disk. This has many benefits such as faster query response, high performance, and reduced operational costs. It helps to improve the overall speed in the BI system and provides quick solutions to the clients as compared to the traditional disk-based systems. This technology allows querying of data while it is in Random Access Memory (RAM) of a system, thus facilitating vastly shortened response times. As enterprises continue to increase their focus on Business Intelligence (BI) and faster decision-making, the demand for in-memory analytics is witnessing impressive growth, which is fueling the growth of this market.

Driving Factors

In addition, the growth of this market is majorly being fueled by the rapid growth of big data analytics across all major geographies worldwide. The continuous digitization of business processes is adding to huge volumes of data generated every day. This is increasing the need among companies to adopt advanced solutions which can support their big data analytics functions, which in turn is increasing the demand for in-memory analytics.

Moreover, the digital transformation of end-user industries such as BFSI, Communication, and Technology, Transportation & Logistics, retail, etc. has led to the adoption of real-time analytics which will drive the market growth during the forecast period. Furthermore, the increasing number of cyber-attacks have created the need for data privacy and data security, which has encouraged industries to adopt in-memory analytics services to safeguard their data. This will further strengthen the market growth in the next few years.

Market Share and Trends

By deployment model, the cloud segment is expected to hold a dominant market share owing to the preference of cloud over the on-premise segment. By enterprise size, the large enterprises hold a significant market share as the large enterprises have sufficient funds to adopt and implement these systems, also these enterprises have voluminous data for which the in-memory analytics system is required. By end-user industry, the BFSI industry is projected to hold a significant market share owing to the large database concerning confidential information of the industry. The communication and technology industry is expected to grow at a high CAGR owing to the adoption of this technology in the industry. Geographically, North America holds a significant market share owing to the early adoption of technology in the region. Also, the presence of prominent market players such as SAS Institute, SAP SE, IBM, among others in the region will further boost the market growth. Asia Pacific will be the fastest-growing market region owing to the voluminous data being generated and the shifting of workload to cloud environment in the region.

Growth Factors

Increase in the volume of data

The major key driver of the in-memory analytics market is the generation of voluminous data, worldwide. According to a survey conducted by IDC in the United States in 2018, data volumes in organizations are surging at a speed of 63% per month, with 12% of organizations reporting over 100% growth every month. All the organizations irrespective of their size are struggling to obtain insights from the data, which has created a need for in-memory analytics in the market. Also, organizations, globally are using cloud services to store and manage data which will further strengthen the market growth during the forecast period.

Restraints

High costs and lack of awareness

To adopt and implement in-memory analytics enterprises need to spend a large number of funds for the effective implementation and maintenance of these systems. The high costs associated with these systems may hamper the market growth in the long run. Also, many enterprises, especially in developing countries are unaware of the benefits of in-memory analytics due to which they have not adopted these solutions yet. This may further restraint the market growth.

Impact of COVID-19 on the in-memory analytics market

The Covid-19 pandemic positively impacted the in-memory analytics market, as due to the lockdown and curfew restrictions imposed by the governments, worldwide, the majority of the enterprises asked their employees to work from home, which increased their dependence on cloud services for the functioning of the business. Also, the companies using the internet for business witnessed a rapid spike, which in turn, increased the number of cyber-attacks taking place across the globe. To combat and prevent such attacks, the enterprises actively adopted in-memory analytics which strengthened the market growth.

Competitive Insights

The market leaders for the in-memory analytics market consist of Google, Inc., IBM Corporation, Microsoft Corporation, ESRI, Telstra Corporation Limited, Amazon Web Services, Inc., SAP SE, Oracle Corporation, Hitachi, Ltd., and SAS Institute Inc. The key players in the market implement growth strategies such as product launches, mergers, and acquisitions, etc. to gain a competitive advantage over their competitors. For instance, in April 2019, SAP SE enhanced their SAP HANA database in the cloud and on-premise services that provide instant access to critical data and extreme performance to democratize in-memory computing. The update included enhanced cloud support, persistent memory support with Intel, intelligent recommendations, new machine learning (ML) capabilities, hyper-converged infrastructure (HCI) certification, and data security enhancements.

Segmentation

By Component

  • Software
  • Services

By Deployment Model

  • On-premise
  • Cloud

By Enterprise Size

  • Small
  • Medium
  • Large

By End-Use Industry

  • BFSI
  • Retail
  • Government
  • Communication and Technology
  • Transportation & Logistics
  • Others

By Geography

  • North America
    • USA
    • Canada
    • Mexico
  • South America
    • Brazil
    • Argentina
    • Others
  • Europe
    • UK
    • Germany
    • France
    • Spain
    • Others
  • Middle East and Africa
    • Saudi Arabia
    • Israel
    • Others
  • Asia Pacific
    • Japan
    • China
    • India
    • Indonesia
    • Taiwan
    • Thailand
    • Others

Table of Contents

1. Introduction

  • 1.1. Market Definition
  • 1.2. Market Segmentation

2. Research Methodology

  • 2.1. Research Data
  • 2.2. Assumptions

3. Executive Summary

  • 3.1. Research Highlights

4. Market Dynamics

  • 4.1. Market Drivers
  • 4.2. Market Restraints
  • 4.3. Porter's Five Forces Analysis
    • 4.3.1. Bargaining Power of Suppliers
    • 4.3.2. Bargaining Power of Buyers
    • 4.3.3. The Threat of New Entrants
    • 4.3.4. Threat of Substitutes
    • 4.3.5. Competitive Rivalry in the Industry
  • 4.4. Industry Value Chain Analysis

5. In-Memory Analytics Market Analysis, By Component

  • 5.1. Introduction
  • 5.2. Software
  • 5.3. Services

6. In-Memory Analytics Market Analysis, By Deployment Model

  • 6.1. Introduction
  • 6.2. On-Premise
  • 6.3. Cloud

7. In-Memory Analytics Market Analysis, By Enterprise Size

  • 7.1. Introduction
  • 7.2. Small
  • 7.3. Medium
  • 7.4. Large

8. In-Memory Analytics Market Analysis, By End-Use Industry

  • 8.1. Introduction
  • 8.2. BFSI
  • 8.3. Retail
  • 8.4. Government
  • 8.5. Communication and Technology
  • 8.6. Transportation & Logistics
  • 8.7. Others

9. In-Memory Analytics Market Analysis, By Geography

  • 9.1. Introduction
  • 9.2. North America
    • 9.2.1. United States
    • 9.2.2. Canada
    • 9.2.3. Mexico
    • 9.2.4. Others
  • 9.3. South America
    • 9.3.1. Brazil
    • 9.3.2. Argentina
    • 9.3.3. Others
  • 9.4. Europe
    • 9.4.1. United Kingdom
    • 9.4.2. Germany
    • 9.4.3. France
    • 9.4.4. Italy
    • 9.4.5. Spain
  • 9.5. Middle East and Africa
    • 9.5.1. Saudi Arabia
    • 9.5.2. Israel
    • 9.5.3. Others
  • 9.6. Asia Pacific
    • 9.6.1. Japan
    • 9.6.2. China
    • 9.6.3. India
    • 9.6.4. Indonesia
    • 9.6.5. Taiwan
    • 9.6.6. Thailand
    • 9.6.7. Others

10. Competitive Intelligence

  • 8.1. Competitive Benchmarking and Analysis
  • 8.2. Recent Investment and Deals
  • 8.3. Strategies of Key Players

11. Company Profiles

  • 11.1. Google, Inc.
  • 11.2. IBM Corporation
  • 11.3. Microsoft Corporation
  • 11.4. ESRI
  • 11.5. Telstra Corporation Limited
  • 11.6. Amazon Web Services, Inc.
  • 11.7. SAP SE
  • 11.8. Oracle Corporation
  • 11.9. Hitachi, Ltd.
  • 11.10. SAS Institute Inc.