封面
市場調查報告書
商品編碼
1866367

記憶體內分析市場-2025-2030 年預測

In-Memory Analytics Market - Forecasts from 2025 to 2030

出版日期: | 出版商: Knowledge Sourcing Intelligence | 英文 144 Pages | 商品交期: 最快1-2個工作天內

價格
簡介目錄

預計記憶體內分析市場將從 2025 年的 55.59 億美元快速成長到 2030 年的 145.08 億美元,複合年成長率為 21.15%。

記憶體內分析能夠查詢和操作儲存在系統隨機存取記憶體 (RAM) 中的數據,與傳統的基於磁碟的系統相比,可實現更快的響應速度、更高的效能和更低的營運成本。這項技術顯著提高了商業智慧(BI) 系統的效率,並支援更快的決策。由於對即時分析的需求不斷成長、巨量資料激增以及各行業數位轉型的推進,全球記憶體內分析市場正經歷強勁成長。

目錄

第1章執行摘要

第2章市場概述

  • 市場概覽
  • 市場定義
  • 分析範圍
  • 市場區隔

第3章 商業情境

  • 市場促進因素
  • 市場限制
  • 市場機遇
  • 波特五力分析
  • 產業價值鏈分析
  • 政策和法規
  • 策略建議

第4章 技術展望

第5章 按組件記憶體內分析市場

  • 介紹
  • 硬體
  • 軟體
  • 服務

第6章 以部署方式記憶體內分析市場

  • 介紹
  • 本地部署

第7章記憶體內分析市場

  • 介紹
  • 小型企業
  • 主要企業

第8章記憶體內分析市場

  • 介紹
  • 銀行、金融服務和保險業 (BFSI)
  • 零售
  • 資訊科技/通訊
  • 運輸與物流
  • 製造業
  • 其他

第9章記憶體內分析市場

  • 介紹
  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 南美洲
    • 巴西
    • 阿根廷
    • 其他
  • 歐洲
    • 德國
    • 法國
    • 英國
    • 義大利
    • 西班牙
    • 其他
  • 中東和非洲
    • 沙烏地阿拉伯
    • 阿拉伯聯合大公國
    • 以色列
    • 其他
  • 亞太地區
    • 中國
    • 印度
    • 日本
    • 韓國
    • 印尼
    • 泰國
    • 台灣
    • 其他

第10章 競爭格局與分析

  • 主要企業和策略分析
  • 市佔率分析
  • 企業合併、協議、商業合作
  • 競爭對手儀錶板

第11章 公司簡介

  • Google, Inc.(Alphabet Inc.)
  • IBM Corporation
  • Microsoft Corporation
  • ESRI
  • Telstra Group Limited
  • Amazon Web Services, Inc.
  • SAP SE
  • Oracle Corporation
  • Hitachi, Ltd.
  • SAS Institute Inc.

第12章附錄

  • 貨幣
  • 先決條件
  • 基準年和預測年時間表
  • 相關人員的主要收益
  • 分析方法
  • 簡稱
簡介目錄
Product Code: KSI061611986

The In-Memory Analytics Market will soar from USD 5.559 billion in 2025 to USD 14.508 billion in 2030, fueled by a 21.15% CAGR.

In-memory analytics enables querying and interaction with data stored in a system's Random Access Memory (RAM), offering faster response times, enhanced performance, and reduced operational costs compared to traditional disk-based systems. This technology significantly boosts Business Intelligence (BI) system efficiency, supporting rapid decision-making. The global in-memory analytics market is experiencing strong growth, driven by the increasing demand for real-time analytics, big data proliferation, and digital transformation across various industries.

Market Segmentation

By deployment model, the cloud segment is expected to dominate due to its scalability and flexibility, making it a preferred choice over on-premise solutions. Large enterprises hold a significant market share, as they possess the financial resources to implement in-memory analytics systems and manage voluminous data. Among end-user industries, the Banking, Financial Services, and Insurance (BFSI) sector is projected to lead, driven by its need to process large, sensitive datasets. The communication and technology sector is anticipated to grow at a high compound annual growth rate (CAGR) due to increasing adoption of in-memory analytics. Geographically, North America maintains a significant market share, supported by early technology adoption and the presence of key players like SAP SE, IBM Corporation, and SAS Institute. The Asia-Pacific region is expected to be the fastest-growing market, fueled by rapid data generation and a shift toward cloud-based environments.

Growth Drivers

Surge in Data Volume

The primary driver of the in-memory analytics market is the exponential growth of data across industries. Organizations face challenges in deriving actionable insights from massive datasets, increasing the demand for in-memory analytics to enable real-time processing. The widespread adoption of cloud services for data storage and management further amplifies this need, as businesses seek efficient solutions to handle growing data volumes, driving market expansion.

Digital Transformation and Real-Time Analytics

The digital transformation of industries such as BFSI, communication, technology, transportation, logistics, and retail has heightened the demand for real-time analytics. In-memory analytics supports rapid data processing, enabling businesses to make informed decisions swiftly. Additionally, the rising number of cyber-attacks has underscored the importance of data privacy and security, encouraging industries to adopt in-memory analytics to safeguard sensitive information, further boosting market growth.

Market Restraints

High implementation and maintenance costs pose a significant challenge to market growth, particularly for smaller enterprises. Additionally, a lack of awareness about the benefits of in-memory analytics, especially in developing regions, limits adoption. These factors may hinder market expansion, particularly in cost-sensitive or less technologically advanced markets.

Competitive Landscape

Key players in the in-memory analytics market include Google, Inc., IBM Corporation, Microsoft Corporation, Amazon Web Services, Inc., SAP SE, Oracle Corporation, Hitachi, Ltd., and SAS Institute Inc. These companies employ strategies such as product launches, mergers, and acquisitions to maintain a competitive edge. Ongoing innovations in in-memory computing solutions are helping market leaders address evolving enterprise needs and strengthen their market positions.

The in-memory analytics market is poised for significant growth, driven by the surge in data volumes, digital transformation, and the need for real-time analytics across industries. The cloud segment and large enterprises dominate, with BFSI and communication sectors leading adoption. North America holds a strong market position, while Asia-Pacific is set for rapid growth. However, high costs and limited awareness in some regions may restrain progress. Industry leaders continue to innovate, ensuring the market's ability to meet the demands of data-driven enterprises.

Key Benefits of this Report:

  • Insightful Analysis: Gain detailed market insights covering major as well as emerging geographical regions, focusing on customer segments, government policies and socio-economic factors, consumer preferences, industry verticals, and other sub-segments.
  • Competitive Landscape: Understand the strategic maneuvers employed by key players globally to understand possible market penetration with the correct strategy.
  • Market Drivers & Future Trends: Explore the dynamic factors and pivotal market trends and how they will shape future market developments.
  • Actionable Recommendations: Utilize the insights to exercise strategic decisions to uncover new business streams and revenues in a dynamic environment.
  • Caters to a Wide Audience: Beneficial and cost-effective for startups, research institutions, consultants, SMEs, and large enterprises.

What do businesses use our reports for?

Industry and Market Insights, Opportunity Assessment, Product Demand Forecasting, Market Entry Strategy, Geographical Expansion, Capital Investment Decisions, Regulatory Framework & Implications, New Product Development, Competitive Intelligence

Report Coverage:

  • Historical data from 2022 to 2024 & forecast data from 2025 to 2030
  • Growth Opportunities, Challenges, Supply Chain Outlook, Regulatory Framework, and Trend Analysis
  • Competitive Positioning, Strategies, and Market Share Analysis
  • Revenue Growth and Forecast Assessment of segments and regions including countries
  • Company Profiling (Strategies, Products, Financial Information, and Key Developments among others.

Market Segmentation:

By Component

  • Hardware
  • Software
  • Services

By Deployment

  • Cloud
  • On-Premise

By Enterprise Size

  • Small & Medium
  • Large

By End-User

  • BFSI
  • Retail
  • IT & Telecommunication
  • Transportation & Logistics
  • Manufacturing
  • Others

By Geography

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

TABLE OF CONTENTS

1. EXECUTIVE SUMMARY

2. MARKET SNAPSHOT

  • 2.1. Market Overview
  • 2.2. Market Definition
  • 2.3. Scope of the Study
  • 2.4. Market Segmentation

3. BUSINESS LANDSCAPE

  • 3.1. Market Drivers
  • 3.2. Market Restraints
  • 3.3. Market Opportunities
  • 3.4. Porter's Five Forces Analysis
  • 3.5. Industry Value Chain Analysis
  • 3.6. Policies and Regulations
  • 3.7. Strategic Recommendations

4. TECHNOLOGICAL OUTLOOK

5. IN-MEMORY ANALYTICS MARKET BY COMPONENT

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

6. IN-MEMORY ANALYTICS MARKET BY DEPLOYMENT

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

7. IN-MEMORY ANALYTICS MARKET BY ENTERPRISE SIZE

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

8. IN-MEMORY ANALYTICS MARKET BY END-USER

  • 8.1. Introduction
  • 8.2. BFSI
  • 8.3. Retail
  • 8.4. IT & Teleccomunication
  • 8.5. Transportation & Logistics
  • 8.6. Manufacturing
  • 8.7. Others

9. IN-MEMORY ANALYTICS MARKET BY GEOGRAPHY

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

10. COMPETITIVE ENVIRONMENT AND ANALYSIS

  • 10.1. Major Players and Strategy Analysis
  • 10.2. Market Share Analysis
  • 10.3. Mergers, Acquisitions, Agreements, and Collaborations
  • 10.4. Competitive Dashboard

11. COMPANY PROFILES

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

12. APPENDIX

  • 12.1. Currency
  • 12.2. Assumptions
  • 12.3. Base and Forecast Years Timeline
  • 12.4. Key benefits for the stakeholders
  • 12.5. Research Methodology
  • 12.6. Abbreviations