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市场调查报告书
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1433501

记忆体内分析 -市场占有率分析、产业趋势/统计、成长预测（2024-2029）

In-Memory Analytics - Market Share Analysis, Industry Trends & Statistics, Growth Forecasts (2024 - 2029)
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到 2024 年为 29.8 亿美元，预计到 2029 年将达到 69.3 亿美元，在预测期内（2024-2029 年）将成长 18.38%，复合年增长率成长。

记忆体分析 - 市场

新的持久记忆体技术可以帮助降低采用支援 BMI 的架构（记忆体内运算）的成本和复杂性，目前已成为一种趋势。持久记忆体代表了 DRAM 和NAND快闪记忆体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记忆体容量。此选项可让您提高应用程式效能、可用性、启动时间、载入方法和安全实践，同时控製成本。

主要亮点

  • 超连结、云端运算和巨量资料等技术趋势与社会和商业趋势密切相关，主要产业的数位转型正在推动即时分析的采用。这将使企业能够开始实施混合事务/分析处理（HTAP）策略，该策略可以透过提供对巨量资料集的即时洞察同时降低成本来彻底改变资料处理。
  • 随着全球资料量持续成长，需要分析解决方案来储存这些资料、轻鬆存取和分析资料、产生有意义的见解并做出业务决策。记忆体内分析可帮助组织克服巨量资料挑战，因为巨量资料储存在记忆体中，从而提高速度并最大限度地减少延迟。新技术进一步促进了资料量的成长。
  • 元宇宙、虚拟实境、扩增实境和其他新兴技术如今越来越受到关注，预计将进一步创建资料结构化和非结构化资料，从而创造对记忆体内分析解决方案的需求。穿戴式装置快速成长。智慧设备和物联网将推动市场成长。例如，根据思科的预测，到 2022 年，连网连网型穿戴式装置装置的成长预计将达到 11.05 亿台，这也促进了资料量的成长。
  • 然而，产品意识的缺乏和传统分析工具的高度普及正在限制市场的成长。记忆体内的结果可能不会立即出现。只需交换技术和架构即可实现。管理正在发生的事情需要技能和专业知识，而这在很大程度上是缺乏的。
  • COVID-19感染疾病流行的爆发加速了数位技术在所有行业的采用，产生了大量资料，推动了对分析解决方案的需求。由于 COVID-19感染疾病， AR/VR 和智慧型装置在医疗保健领域的采用不断增加，也加速了对分析解决方案的需求，以做出资料主导的决策。此类解决方案的成功实施可以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路。

记忆体内分析市场趋势

製造业推动市场成长

  • 在製造业中，记忆体内分析市场预计将大幅成长。工业 4.0 和新技术进步加速了整个製造业的成长。记忆体分析（IMA）透过增强缺陷追踪和预测能力来改善供应链并提高整体营运效率，从而提高製造品质并降低支援成本，它越来越多地在许多製造组织中使用。
  • 资料仓储的查询和报表效能必须良好。 SAP HANA 等记忆体内的好处之一是交易资料不一定需要复製到专用资料仓储。您可以在操作表和交易表上建立分析或计算视图，以建立可用于报表和分析资料的维度视图。
  • 来自企业资料库的记忆体内巨量资料分析透过捕获有关变化的即时资料并将其与资料和感测器资料整合以提供整体情况的业务情况来提高製造生产力。分析动态资料以回应时间关键的操作事件，例如交通状况和设备运作状况。
  • 此外，扩大製造规模和提高製造流程数位化意识预计将支持所研究市场的成长。例如，根据印度产业内贸易促进部和 MOSPI 的数据，22 财年製造业年产量成长率成长了 11.40%。
  • 此外，连网型工厂将成为未来製造业的核心，因为它们允许设备和元件进行通讯，以更深入地了解每个流程。实施分析是连网型工厂的关键组成部分。随着智慧工厂的兴起，科技使机器、人员和感测器能够在整个製造过程中以无缝和自动化的方式交换资讯。互联设备产生的资料会产生大量资讯，借助边缘连接和运算技术，可以以全新的方式分析和理解这些资讯。

亚太地区将经历显着成长

  • 亚太记忆体内分析市场的推动因素是最终用户数位化程度的提高以及中小型企业（尤其是中国和印度）越来越多地采用经济高效的云端基础的分析软体。
  • 中国、印度和日本等国家是 BPO 和 KPO 等公司的中心，在全球也被称为製造工厂。此类组织的根本基础是需要储存、分析和用于决策的大量资料。这将增加对分析市场的需求。
  • 行动技术和服务继续在亚太地区经济中发挥重要作用。全部区域意识的提高以及 4G 和 5G 覆盖范围的扩大也加速了对分析解决方案的需求。例如，根据VIAVI Solutions的数据，截至2022年，中国在大多数城市的5G可用性方面是亚太地区领先的国家，5G覆盖的城市有356个，菲律宾（105个）等紧随其后。 、韩国（85）等
  • 除此之外，政府促进数位解决方案采用的措施也将推动亚太地区研究市场的成长。例如，印度政府将巨量资料用于各种目的，例如估计国内贸易、分析都市化以及分析铁路上的旅客。中国经济将利用巨量资料作为推动这项变革的手段之一，并在更高价值和更先进的行业中加强先进技术的采用，以保持其优势并维持成长，这将有助于研究领域的发展。亚太市场。

记忆体内分析产业概述

记忆体内分析市场竞争激烈，几个主要企业和新进者形成了竞争形势，占据了重要的市场占有率。此外，策略联盟、收购和新产品/技术的推出也加剧了市场竞争。主要参与者包括 SAP SE、IBM Corporation 和 SAS Institute, Inc.。

2023 年 4 月，SAP SE 更新了 SAP HANA 2.0 SPS 0.7，增加了重要功能，例如增强的机器学习功能、更新的 SDA/SDI 适配器认证、新的资料调配功能以及保留的备份和復原功能。 SAP HANA 的最新版本在 TCO、可扩展性、可靠性和使用者体验方面进行了许多改进。简化和民主化记忆体内运算，使组织中的更多人能够获得更快的回应和有价值的见解。

2023 年 3 月，Exasol 宣布了其记忆体内分析资料库的新版本和增强功能。该公司表示，这个新版本体现了其致力于为客户提供在成本、性能和弹性之间不妥协的解决方案的决心。

其他福利

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

目录

第一章简介

  • 研究假设和市场定义
  • 调查范围

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
    • 买家/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
    • 竞争公司之间敌对关係的强度

第五章市场动态

  • 市场驱动因素
    • 最终用户数位转型导致采用即时分析
    • 不断增加的资料量需要快速的分析方法
    • 计算技术的进步
  • 市场限制因素
    • 最终使用者缺乏意识

第六章市场区隔

  • 按配置
    • 本地
    • 云
  • 按最终用户产业
    • BFSI
    • 零售
    • 资讯科技/通讯
    • 製造业
    • 政府/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/非洲

第七章 竞争形势

  • 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 市场机会及未来趋势

第九章投资分析

简介目录
Product Code: 62302

The In-Memory Analytics Market size is estimated at USD 2.98 billion in 2024, and is expected to reach USD 6.93 billion by 2029, growing at a CAGR of 18.38% during the forecast period (2024-2029).

In-Memory Analytics - Market

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