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市场调查报告书
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1641907

记忆体内分析：市场占有率分析、产业趋势与统计、成长预测（2025-2030）

In-Memory Analytics - Market Share Analysis, Industry Trends & Statistics, Growth Forecasts (2025 - 2030)
出版日期: | 出版商: Mordor Intelligence | 英文 120 Pages | 商品交期: 2-3个工作天内

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简介目录

记忆体内分析市场规模预计在 2025 年为 35.3 亿美元，预计到 2030 年将达到 82 亿美元，预测期内（2025-2030 年）的复合年增长率为 18.38%。

记忆体分析-市场-IMG1

新的持久记忆体技术有助于降低采用支援 BMI 的架构（记忆体内运算）的成本和复杂性，这是一种新兴趋势。持久记忆体是 DRAM 和NAND快闪记忆体之间的新记忆体层，可以为高效能工作负载提供经济的大容量记忆体。此选项可在控製成本的同时提高应用程式的效能、可用性、启动时间、载入行为和安全性。

主要亮点

  • 由于超连接、云端运算和巨量资料等技术趋势与社会和商业趋势紧密相连，每个主要行业的数位转型都将导致即时分析的采用。这将鼓励公司开始实施混合事务/分析处理 (HTAP) 策略。 HTAP 策略有可能透过提供对巨量资料集的即时洞察来彻底改变资料处理，同时有助于降低成本。
  • 全球资料量不断增长，对分析解决方案的需求也随之增加，以便储存、轻鬆存取和分析这些资料，从而产生有意义的见解并做出业务决策。记忆体内分析有助于克服巨量资料挑战。记忆体内分析将资料储存在记忆体中，从而提高处理速度并最大限度地减少延迟。新技术也促进了资料量的增加。
  • 元宇宙、虚拟实境、扩增实境和其他新兴技术目前正在迅速普及，预计将产生更多的资料，从而产生对记忆体内分析解决方案的需求。穿戴式装置的普及。智慧设备和物联网将推动市场成长。例如，连网穿戴装置的兴起也推动了资料量的增加。
  • 然而，产品认知度低和传统分析工具渗透率高阻碍了市场的成长。记忆体内并不是仅仅透过切换到不同的技术和架构就能产生立竿见影的效果。要做到这一点，你需要具备管理正在发生的事情的技能和专业知识，但这些技能和专业知识却严重短缺。
  • COVID-19 疫情的爆发加速了各行各业对数位技术的采用，产生了大量资料并推动了对分析解决方案的需求。 COVID-19 疫情也推动了医疗保健领域对 AR/VR 和智慧型装置的采用，加速了对做出资料主导决策的分析解决方案的需求。成功实施此类解决方案可能会鼓励更多供应商和企业采用记忆体内分析解决方案，为预测期内研究市场的成长铺平道路。

记忆体内分析市场的趋势

製造业推动市场成长

  • 预计製造业将见证记忆体内分析市场的显着成长。工业 4.0 和新技术的进步正在加速整个製造业的成长。许多人正在使用记忆体内分析 (IMA) 透过增强缺陷追踪和预测功能来改善供应链，从而提高生产品质、降低支援成本并提高整体业务效率。
  • 资料仓储查询和彙报效能必须良好。 SAP HANA 等记忆体内的一个优点是交易资料不一定需要复製到专用资料仓储。可以在操作事务表之上建立分析视图和计算视图，以建立可用于报表和分析资料的维度视图。
  • 企业资料库的记忆体内体巨量资料分析可撷取有关变化的即时资料，并将其与资料和感测器资料集成，以提供整体营运视图并提高製造生产率。分析动态资料可让您回应时间关键的营运事件，例如交通状况或资产状态。
  • 此外，不断扩大的製造足迹和对製造过程数位化的认识不断增强预计将推动所调查市场的成长。例如，根据工业和国内贸易促进部和 MOSPI 的数据，22 财年製造业年产量成长率成长了 11.40%。
  • 此外，互联工厂对于製造业的未来至关重要，它使设备和元素能够通讯，从而更深入地了解每个流程。分析的实施是互联工厂的重要组成部分。智慧工厂正在兴起，技术使机器、人员和感测器能够在整个生产过程中以无缝、自动化的方式交换资讯。连接设备产生的资料产生了大量的信息，借助边缘连接和计算技术，这些信息可以以全新的方式来分析和理解。

亚太地区成长强劲

  • 亚太地区记忆体内分析市场的发展受到终端用户数位化程度不断提高以及中小型企业（尤其是中国和印度）越来越多地采用具有成本效益的云端基础的分析软体的推动。
  • 中国、印度和日本等国家是 BPO 和 KPO 等公司的中心，也被称为全球製造工厂。此类组织的基本基础是需要储存、分析和使用大量资料来进行决策。这正在推动分析市场的需求。
  • 行动技术和服务继续在亚太地区经济中发挥重要作用。全部区域对 4G 和 5G 的认知度不断提高和快速采用也推动了对分析解决方案的需求。例如，根据 VIAVI Solutions 的数据，到 2022 年，中国将有 356 个城市覆盖 5G，其次是菲律宾（105 个城市）和韩国（85 个城市）。
  • 除此之外，政府推动数位解决方案采用的措施也推动了亚太地区研究市场的成长。例如，印度政府将巨量资料用于多种用途，包括国内贸易估计值、都市化分析和铁路客运量分析。为了保持主导地位并维持成长，中国经济可能会加大在高价值和更先进行业中采用先进技术，而巨量资料是促进这一转变的槓桿之一。研究市场。

记忆体内分析行业概览

记忆体内分析市场竞争激烈，几个主要企业和新参与企业塑造了竞争格局并占据了相当大的市场占有率。此外，策略伙伴关係、收购和新产品/技术的推出加剧了市场竞争。主要企业包括 SAP SE、IBM Corporation 和 SAS Institute, Inc.

2023 年 4 月，SAP SE 将更新 SAP HANA 2.0 SPS 0.7，以包含增强的机器学习功能、更新的 SDA/SDI 适配器认证、新的资料配置功能以及具有保留期的备份和復原等重要功能。 SAP HANA 最新版本在 TCO、可扩展性、可靠性和使用者体验方面做出了许多改进。透过简化和民主化记忆体内运算，组织内的更多人可以获得更快的回应和有价值的见解。

2023 年 3 月，Exasol 宣布发布其记忆体分析资料库的新版本并增强其功能。该公司表示，新产品表明了其致力于为客户提供不需要在成本、性能和灵活性之间做出妥协的解决方案。

其他福利

  • Excel 格式的市场预测 (ME) 表
  • 3 个月的分析师支持

目录

第 1 章 简介

  • 研究假设和市场定义
  • 研究范围

第二章调查方法

第三章执行摘要

第四章 市场洞察

  • 市场概况
  • 产业价值链分析
  • 产业吸引力－波特五力分析
    • 购买者/消费者的议价能力
    • 供应商的议价能力
    • 新进入者的威胁
    • 替代品的威胁
    • 竞争对手之间的竞争强度

第五章 市场动态

  • 市场驱动因素
    • 最终用户数位转型推动即时分析的采用
    • 资料量不断增加需要快速分析方法
    • 计算技术的进步
  • 市场限制
    • 缺乏最终使用者意识

第六章 市场细分

  • 按部署
    • 本地
    • 云
  • 按最终用户产业
    • BFSI
    • 零售
    • 资讯科技/通讯
    • 製造业
    • 政府及公共机构
    • 其他最终用户产业
  • 按地区
    • 北美洲
    • 欧洲
    • 亚太地区
    • 拉丁美洲
    • 中东和非洲

第七章 竞争格局

  • 公司简介
    • SAP SE
    • IBM Corporation
    • Oracle Corporation
    • Activeviam
    • Amazon Web Services, Inc.
    • Information Builders, Inc.
    • Kognitio Ltd.
    • Microstrategy Incorporated
    • SAS Institute, Inc.
    • Software AG

第八章 市场机会与未来趋势

第九章投资分析

简介目录
Product Code: 62302

The In-Memory Analytics Market size is estimated at USD 3.53 billion in 2025, and is expected to reach USD 8.20 billion by 2030, at a CAGR of 18.38% during the forecast period (2025-2030).

In-Memory Analytics - Market - IMG1

New persistent memory technologies will help reduce the costs and complexity of adopting BMI-enabled architectures (in-memory computing), which is becoming a trend nowadays. Persistent memory represents a new layer of memory between the DRAM and NAND flash memory, which can provide economical mass memory for high-performance workloads. This option can improve application performance, availability, boot times, load methods, and security practices while controlling costs.

Key Highlights

  • Digital transformation across all major industries leads to the adoption of real-time analytics as technology trends such as hyper-connectivity, cloud computing, and big data go hand-in-hand with social and business trends. It will enable enterprises to start implementing hybrid transactional/analytical processing (HTAP) strategies, which have the potential to revolutionize data processing by providing real-time insights into big data sets while simultaneously driving down costs.
  • The continuously growing volumes of data worldwide create demand for analytics solutions to store, easily access, and analyze this data to generate meaningful insights and make business decisions. In-memory analytics helps organizations overcome the challenges of big data as it is stored in memory that boosts speed and minimizes latency. The emerging technologies further contribute to growing data volume.
  • The metaverse, virtual reality, augmented reality, and other emerging technologies are gaining traction nowadays and are expected to further create huge amounts of structured and unstructured data, projected to create demand for in-memory analytics solutions. The growing proliferation of wearables. Smart devices and the Internet of Things fuel the market growth. For instance, according to Cisco, the growth in connected wearable devices, which was forecasted to reach 1,105 million devices in 2022, also contributes to the growing volume of data.
  • However, the lack of awareness about the product and higher penetration of conventional analytics tools is restraining the market growth. In-memory may not immediately produce the results; one should desire simply by swapping out technologies and architecture. It requires skills and expertise to manage what's happening, which is profoundly lacking.
  • The outbreak of the COVID-19 pandemic accelerated the adoption of digital technologies across all industries and created a huge amount of data which drove the demand for analytics solutions. The increased adoption of AR/VR and smart devices in healthcare due to the COVID-19 pandemic also accelerated the demand for analytics solutions to make data-driven decisions. The successful implementation of such solutions will likely encourage more vendors and businesses to adopt in-memory analytics solutions, paving the way for the studied market's growth during the forecast period.

In-Memory Analytics Market Trends

Manufacturing Sector to Drive the Market Growth

  • The manufacturing sector is expected to witness significant growth in the in-memory analytics market. Industry 4.0 and new technology advancements accelerated growth across the manufacturing sector. In-Memory-Analytics (IMA) is increasingly used by many manufacturing organizations to improve manufacturing quality and reduce support costs by enhancing defect tracking and forecasting capabilities to improve supply chains, resulting in overall operational efficiencies.
  • The query and reporting performance of the data warehouse should be good. One of the advantages of in-memory databases, such as SAP HANA, is that the transactional data does not necessarily need to be copied to a dedicated data warehouse. Analytical or calculation views can be created over the operational, transactional tables to create a dimensional view that can be used to report and analyze the data.
  • In-memory Big Data analytics from enterprise databases is capturing real-time data on change and integrating it with machine data and sensor data to provide a holistic view of operations, thereby enhancing productivity in the manufacturing industry. Data-in-motion is analyzed to react to time-critical operational events, such as traffic or equipment conditions.
  • Furthermore, the expanding footprint of manufacturing industry and the increasing awareness about digitization of manufacturing processes are anticipated to support the growth of the studied market. For instance, according to the Department for Promotion of Industry and Internal Trade (India) and MOSPI, the annual growth rate of production in the manufacturing industry increased by 11.40% in FY22.
  • Moreover, the connected factory is at the center to the future of manufacturing, as it enables devices and elements to communicate in order to gain a better understanding of each process. Implementing analytics is an essential component of a connected factory. The increased smart factories where the technology enables machines, personnel and sensors to exchange information in a seamless and automated manner throughout the manufacturing process. Data generated by connected equipment generates a vast amount of information, and with the aid of edge connectivity and computational technology, this information can be analysed and understood in radically new ways.

Asia-Pacific to Witness Significant Growth

  • The in-memory analytics market in the Asia-Pacific region is driven by the growing digitization of end-users and the rising adoption of cost-effective cloud-based analytical software by SMBs, especially in China and India.
  • Countries such as China, India, and Japan act as hubs for enterprises such as BPOs and KPOs and are also known as manufacturing factories worldwide. The very basic foundation of such organizations is the huge quantities of data that need to be stored, analyzed, and used for decision-making. This drives the demand for the in-analytics market.
  • Mobile technology and services continue to play an important role in the economy of Asia-Pacific. The growing awareness and a surge in 4G and 5G coverage across the region also accelerate the demand for analytics solutions. For instance, according to VIAVI Solutions, China was the leading country in the Asia-Pacific region in terms of 5G availability in most cities, as the country had 356 cities covered by 5G in 2022, followed by countries such as the Philippines (105), and South Korea (85), among others.
  • Apart from this, government initiatives promoting the adoption of digital solutions also drive the growth of the studied market in the Asia-Pacific region. For instance, the Indian government uses big data for various purposes, such as getting an estimate of trade in the country, urbanization analysis, and unreserved railway passengers analysis. To maintain its edge and sustain its growth, China's economy may also enhance its adoption of advanced technologies to a higher value and in more advanced industries, with big data as one of the instruments to facilitate this shift, which will aid the growth of the studied market in the Asia-Pacific region.

In-Memory Analytics Industry Overview

The in-memory analytics market is competitive as several key players and new entrants form a competitive landscape, accounting for a substantial market share. Also, strategic partnerships, acquisitions, and new launches of product/technology are increasing high rivalry in the market. SAP SE, IBM Corporation, SAS Institute, Inc., and others are key players.

In April 2023, SAP SE updated its SAP HANA 2.0 SPS 0.7 with significant features such as enhanced machine learning capabilities, updated SDA/SDI adapter certifications, new data provisioning capabilities, backup & recovery with retention periods, and others. The newest version of SAP HANA offers many improvements in terms of TCO, scalability, reliability, and user experience. It streamlines and democratizes in-memory computing, allowing even more people within your organization to get quick responses and valuable insights.

In March 2023, Exasol announced new releases and enhancements to its In-Memory Analytics Database. The company states that the new release demonstrates its dedication to providing its customers with a solution that does not necessitate compromise between cost, performance, and flexibility.

Additional Benefits:

  • The market estimate (ME) sheet in Excel format
  • 3 months of analyst support

TABLE OF CONTENTS

1 INTRODUCTION

  • 1.1 Study Assumptions and Market Definition
  • 1.2 Scope of the Study

2 RESEARCH METHODOLOGY

3 EXECUTIVE SUMMARY

4 MARKET INSIGHTS

  • 4.1 Market Overview
  • 4.2 Industry Value Chain Analysis
  • 4.3 Industry Attractiveness - Porter's Five Forces Analysis
    • 4.3.1 Bargaining Power of Buyers/Consumers
    • 4.3.2 Bargaining Power of Suppliers
    • 4.3.3 Threat of New Entrants
    • 4.3.4 Threat of Substitute Products
    • 4.3.5 Intensity of Competitive Rivalry

5 MARKET DYNAMICS

  • 5.1 Market Drivers
    • 5.1.1 Digital Transformation of End-users Leading to Adoption of Real-Time Analytics
    • 5.1.2 Growing Data Volume Demanding Swift Analytical Methods
    • 5.1.3 Advancements in Computational Technology
  • 5.2 Market Restraints
    • 5.2.1 Lack of Awareness in End-users

6 MARKET SEGMENTATION

  • 6.1 By Deployment
    • 6.1.1 On-Premise
    • 6.1.2 Cloud
  • 6.2 By End-user Industry
    • 6.2.1 BFSI
    • 6.2.2 Retail
    • 6.2.3 IT and Telecommunications
    • 6.2.4 Manufacturing
    • 6.2.5 Government and Public Sector
    • 6.2.6 Other End-user Industries
  • 6.3 By Geography
    • 6.3.1 North America
    • 6.3.2 Europe
    • 6.3.3 Asia-Pacific
    • 6.3.4 Latin America
    • 6.3.5 Middle East & Africa

7 COMPETITIVE LANDSCAPE

  • 7.1 Company Profiles
    • 7.1.1 SAP SE
    • 7.1.2 IBM Corporation
    • 7.1.3 Oracle Corporation
    • 7.1.4 Activeviam
    • 7.1.5 Amazon Web Services, Inc.
    • 7.1.6 Information Builders, Inc.
    • 7.1.7 Kognitio Ltd.
    • 7.1.8 Microstrategy Incorporated
    • 7.1.9 SAS Institute, Inc.
    • 7.1.10 Software AG

8 MARKET OPPORTUNITIES AND FUTURE TRENDS

9 INVESTMENT ANALYSIS