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市场调查报告书
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1866367

记忆体内分析市场-2025-2030 年预测

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个工作天内

价格
简介目录

预计记忆体内分析市场将从 2025 年的 55.59 亿美元快速成长到 2030 年的 145.08 亿美元,复合年增长率为 21.15%。

记忆体内分析能够查询和操作储存在系统随机存取记忆体 (RAM) 中的数据,与传统的基于磁碟的系统相比,可实现更快的响应速度、更高的效能和更低的营运成本。这项技术显着提高了商业智慧(BI) 系统的效率,并支援更快的决策。由于对即时分析的需求不断增长、巨量资料激增以及各行业数位转型的推进,全球记忆体内分析市场正经历强劲增长。

目录

第一章执行摘要

第二章市场概述

  • 市场概览
  • 市场定义
  • 分析范围
  • 市场区隔

第三章 商业情境

  • 市场驱动因素
  • 市场限制
  • 市场机会
  • 波特五力分析
  • 产业价值链分析
  • 政策和法规
  • 策略建议

第四章 技术展望

第五章 按组件记忆体内分析市场

  • 介绍
  • 硬体
  • 软体
  • 服务

第六章 以部署方式记忆体内分析市场

  • 介绍
  • 本地部署

第七章记忆体内分析市场

  • 介绍
  • 小型企业
  • 大公司

第八章记忆体内分析市场

  • 介绍
  • 银行、金融服务和保险业 (BFSI)
  • 零售
  • 资讯科技/通讯
  • 运输与物流
  • 製造业
  • 其他的

第九章记忆体内分析市场

  • 介绍
  • 北美洲
    • 美国
    • 加拿大
    • 墨西哥
  • 南美洲
    • 巴西
    • 阿根廷
    • 其他的
  • 欧洲
    • 德国
    • 法国
    • 英国
    • 义大利
    • 西班牙
    • 其他的
  • 中东和非洲
    • 沙乌地阿拉伯
    • 阿拉伯聯合大公国
    • 以色列
    • 其他的
  • 亚太地区
    • 中国
    • 印度
    • 日本
    • 韩国
    • 印尼
    • 泰国
    • 台湾
    • 其他的

第十章 竞争格局与分析

  • 主要企业和策略分析
  • 市占率分析
  • 企业合併、协议、商业合作
  • 竞争对手仪錶板

第十一章 公司简介

  • 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.

第十二章附录

  • 货币
  • 先决条件
  • 基准年和预测年时间表
  • 相关人员的主要收益
  • 分析方法
  • 简称
简介目录
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