数据结构市场增长、规模、份额、趋势、关键参与者分析和预测至 2031 年

  • Report Code : TIPTE100000792
  • Category : Technology, Media and Telecommunications
  • No. of Pages : 150
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数据结构市场预计将从 2023 年的 20.9 亿美元增长到 2031 年的 105.9 亿美元;预计从 2023 年到 2031 年的复合年增长率将达到22.5%。对实时流分析的需求不断增长预计将成为市场的一个主要趋势。

 

数据结构市场分析

数据结构提供数据虚拟化,使企业能够实现无缝数据访问,同时使每个人都可以访问数据。通过实施数据结构,业务用户可以以最少的 IT 参与访问数据,从而为数据访问和交换提供更快、更轻松的环境。设计良好的逻辑数据结构将基本安全性和数据管理集中起来。因此,预计数据结构市场将在预测期内增长。

 

数据结构市场行业概览

Data Fabric 是一个全面的数据集成和管理系统,包括架构、数据管理和集成工具以及共享数据,可帮助企业管理其数据。数据结构为组织全球网络的每个成员提供单一、一致的用户体验和实时数据访问。数据结构旨在通过管理跨各种应用程序、平台和位置的数据来帮助企业解决复杂的数据问题和用例。数据结构在分散的数据环境中提供无摩擦访问和数据共享。

 

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数据结构市场:

Data Fabric Market
  • 获取此报告的关键市场趋势。
    这个免费样品将包括数据分析,从市场趋势到估计和预测。

 

数据结构市场驱动因素和机遇

 

数据量增加有利于市场增长

任何以数据为中心的组织都需要一种综合的方法来解决时间、空间、各种软件类型和数据位置问题。数据必须可供需要它的人使用,而不是隐藏在防火墙后面或分散在多个地方。企业需要一种安全、高效、一致且面向未来的数据解决方案来提高运营效率。因此,预计在预测期内对数据结构的需求将增长。

 

机器学习 (ML) 的使用日益增多

ML 算法可以监视数据管道并建议相关的链接和集成。这些算法从链接到数据结构的数据中提取信息,审查所有业务数据,并找到相关的联系和相关性。提供数据是训练 ML 模型最耗时的方面之一。数据结构设计通过缩短数据准备时间使 ML 模型更加高效。它还提高了准备好的数据在各种应用程序和模型中的可用性。公司在本地、云端和物联网中分发数据。数据结构可以限制对安全数据的访问并增强 ML 流程。因此,预计 ML 在数据结构中的应用将在预测期内推动市场增长。

 

数据结构

市场报告细分分析

有助于得出数据结构市场分析的关键部分是部署、组件、解决方案和最终用户的覆盖范围。

  • 根据部署方式,市场分为本地部署和云部署。云部署在 2023 年引领市场。
  • 根据组件,市场分为软件和服务
  • 根据解决方案,市场分为数据发现、数据提取、数据编排、结构数据访问、数据管理和结构管理和
  • 根据最终用户,市场分为 BFSI、IT 和电信、零售、医疗保健和制药

 

数据结构市场份额按地区分析

根据地区,市场分为北美、欧洲、亚太、中东和非洲、南美和中美。

2023 年,北美地区在数据结构市场中占有重要份额,预计在预测期内将以可观的复合年增长率增长。这种增长可能归因于众多市场参与者的存在和早期采用技术。此外,预计在预测期内,亚太地区的复合年增长率最快。这种增长可能归因于数据中心数量的增加和数字化程度的提高。

 

 

数据结构市场区域洞察

Insight Partners 的分析师已详细解释了预测期内影响数据结构市场的区域趋势和因素。本节还讨论了北美、欧洲、亚太地区、中东和非洲以及南美和中美洲的数据结构市场细分和地理位置。

Data Fabric Market
  • 获取数据结构市场的区域特定数据

数据结构市场报告范围

报告属性细节
2023 年的市场规模20.9亿美元
2031 年市场规模105.9亿美元
全球复合年增长率(2023 - 2031)22.5%
史料2021-2022
预测期2024-2031
涵盖的领域按部署
  • 本地和云
按组件
  • 软件
  • 服务
按解决方案
  • 数据发现
  • 数据采集
  • 数据编排
  • Fabric 数据访问
  • 数据管理
  • 架构管理
按最终用户
  • 金融保险业协会
  • 信息技术和电信
  • 零售
  • 医疗保健和制药
覆盖地区和国家北美
  • 我们
  • 加拿大
  • 墨西哥
欧洲
  • 英国
  • 德国
  • 法国
  • 俄罗斯
  • 意大利
  • 欧洲其他地区
亚太
  • 中国
  • 印度
  • 日本
  • 澳大利亚
  • 亚太其他地区
南美洲和中美洲
  • 巴西
  • 阿根廷
  • 南美洲和中美洲其他地区
中东和非洲
  • 南非
  • 沙特阿拉伯
  • 阿联酋
  • 中东和非洲其他地区
市场领导者和主要公司简介
  • Denodo技术公司
  • IBM 公司
  • Informatica 公司
  • K2View
  • NetApp 公司
  • 甲骨文公司
  • 思爱普
  • 软件公司
  • Teradata
  • 惠普企业发展有限公司 (HPE)

市场参与者密度:了解其对商业动态的影响

数据结构市场正在快速增长,这得益于最终用户需求的不断增长,这些需求源于消费者偏好的不断变化、技术进步以及对产品优势的认识不断提高等因素。随着需求的增加,企业正在扩大其产品范围,进行创新以满足消费者需求,并利用新兴趋势,从而进一步推动市场增长。

市场参与者密度是指在特定市场或行业内运营的企业或公司的分布情况。它表明相对于给定市场空间的规模或总市场价值,有多少竞争对手(市场参与者)存在于该市场空间中。

在数据结构市场运营的主要公司有:

  1. Denodo技术公司
  2. IBM 公司
  3. Informatica 公司
  4. K2View
  5. NetApp 公司
  6. 甲骨文公司

免责声明上面列出的公司没有按照任何特定顺序排列。


Data Fabric Market

 

  • 获取数据结构市场顶级关键参与者概览

 

数据结构市场新闻和最新发展

通过收集一手和二手研究后的定性和定量数据来评估数据结构市场,其中包括重要的公司出版物、协会数据和数据库。以下列出了数据结构市场的一些发展情况:

  • LigaData 是电信技术领域的领先供应商,它通过推出新的 LigaData Telecom Data Fabric 4.0 和 LigaData Telecom AI Apps 彻底改变了电信数据分析行业。这些新产品使电信运营商和通信服务提供商能够实现其计划,将其业务从传统电信运营商转变为敏捷数据和 AI 驱动的技术公司,同时推动收入增长、保持市场份额并增强客户体验。(来源:LigaData,新闻稿,2024 年 2 月)

 

数据结构市场报告覆盖范围和交付成果

数据结构市场预测是根据各种二手和一手研究结果估算的,例如主要公司出版物、协会数据和数据库。市场报告“数据结构市场规模和预测(2021-2031 年)”对市场进行了详细分析,涵盖以下领域:

  • 数据结构市场规模以及范围涵盖的所有关键细分市场的全球、区域和国家层面的预测
  • 数据结构市场趋势以及市场动态,如驱动因素、限制因素和关键机遇
  • 详细的 PEST/波特五力分析和 SWOT 分析
  • 数据结构市场分析涵盖关键市场趋势、全球和区域框架、主要参与者、法规和最新市场发展
  • 行业格局和竞争分析,涵盖市场集中度、热图分析、知名参与者以及数据结构市场的最新发展
  • 详细的公司简介。
  • Historical Analysis (2 Years), Base Year, Forecast (7 Years) with CAGR
  • PEST and SWOT Analysis
  • Market Size Value / Volume - Global, Regional, Country
  • Industry and Competitive Landscape
  • Excel Dataset
Report Coverage
Report Coverage

Revenue forecast, Company Analysis, Industry landscape, Growth factors, and Trends

Segment Covered
Segment Covered

This text is related
to segments covered.

Regional Scope
Regional Scope

North America, Europe, Asia Pacific, Middle East & Africa, South & Central America

Country Scope
Country Scope

This text is related
to country scope.

Frequently Asked Questions


What is the expected CAGR of the Data Fabric market?

The global Data Fabric market was estimated to grow at a CAGR of 22.5% during 2023 - 2031.

What are the future trends of the Data Fabric market?

Growing demand for real-time streaming analytics is the major trend in the market.

What are the deliverable formats of the Data Fabric market report?

The report can be delivered in PDF/PPT format; we can also share an Excel dataset based on the request.

Which are the leading players operating in the Data Fabric market?

Denodo Technologies, IBM Corporation, Informatica Corporation, K2View, NetApp, Inc., Oracle Corporation, SAP SE, Software AG, Teradata, and Hewlett Packard Enterprise Development LP (HPE) are the major market players.

What are the options available for the customization of this report?

Some of the customization options available based on the request are additional 3–5 company profiles and a country-specific analysis of 3–5 countries of your choice. Customizations are to be requested/discussed before making final order confirmation, as our team would review the same and check the feasibility.

What are the driving factors impacting the Data Fabric market?

The increasing volume of data and the need for business accessibility are the major factors that drive the global Data Fabric market.

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The Insight Partners performs research in 4 major stages: Data Collection & Secondary Research, Primary Research, Data Analysis and Data Triangulation & Final Review.

  1. Data Collection and Secondary Research:

As a market research and consulting firm operating from a decade, we have published and advised several client across the globe. First step for any study will start with an assessment of currently available data and insights from existing reports. Further, historical and current market information is collected from Investor Presentations, Annual Reports, SEC Filings, etc., and other information related to company’s performance and market positioning are gathered from Paid Databases (Factiva, Hoovers, and Reuters) and various other publications available in public domain.

Several associations trade associates, technical forums, institutes, societies and organization are accessed to gain technical as well as market related insights through their publications such as research papers, blogs and press releases related to the studies are referred to get cues about the market. Further, white papers, journals, magazines, and other news articles published in last 3 years are scrutinized and analyzed to understand the current market trends.

  1. Primary Research:

The primarily interview analysis comprise of data obtained from industry participants interview and answers to survey questions gathered by in-house primary team.

For primary research, interviews are conducted with industry experts/CEOs/Marketing Managers/VPs/Subject Matter Experts from both demand and supply side to get a 360-degree view of the market. The primary team conducts several interviews based on the complexity of the markets to understand the various market trends and dynamics which makes research more credible and precise.

A typical research interview fulfils the following functions:

  • Provides first-hand information on the market size, market trends, growth trends, competitive landscape, and outlook
  • Validates and strengthens in-house secondary research findings
  • Develops the analysis team’s expertise and market understanding

Primary research involves email interactions and telephone interviews for each market, category, segment, and sub-segment across geographies. The participants who typically take part in such a process include, but are not limited to:

  • Industry participants: VPs, business development managers, market intelligence managers and national sales managers
  • Outside experts: Valuation experts, research analysts and key opinion leaders specializing in the electronics and semiconductor industry.

Below is the breakup of our primary respondents by company, designation, and region:

Research Methodology

Once we receive the confirmation from primary research sources or primary respondents, we finalize the base year market estimation and forecast the data as per the macroeconomic and microeconomic factors assessed during data collection.

  1. Data Analysis:

Once data is validated through both secondary as well as primary respondents, we finalize the market estimations by hypothesis formulation and factor analysis at regional and country level.

  • Macro-Economic Factor Analysis:

We analyse macroeconomic indicators such the gross domestic product (GDP), increase in the demand for goods and services across industries, technological advancement, regional economic growth, governmental policies, the influence of COVID-19, PEST analysis, and other aspects. This analysis aids in setting benchmarks for various nations/regions and approximating market splits. Additionally, the general trend of the aforementioned components aid in determining the market's development possibilities.

  • Country Level Data:

Various factors that are especially aligned to the country are taken into account to determine the market size for a certain area and country, including the presence of vendors, such as headquarters and offices, the country's GDP, demand patterns, and industry growth. To comprehend the market dynamics for the nation, a number of growth variables, inhibitors, application areas, and current market trends are researched. The aforementioned elements aid in determining the country's overall market's growth potential.

  • Company Profile:

The “Table of Contents” is formulated by listing and analyzing more than 25 - 30 companies operating in the market ecosystem across geographies. However, we profile only 10 companies as a standard practice in our syndicate reports. These 10 companies comprise leading, emerging, and regional players. Nonetheless, our analysis is not restricted to the 10 listed companies, we also analyze other companies present in the market to develop a holistic view and understand the prevailing trends. The “Company Profiles” section in the report covers key facts, business description, products & services, financial information, SWOT analysis, and key developments. The financial information presented is extracted from the annual reports and official documents of the publicly listed companies. Upon collecting the information for the sections of respective companies, we verify them via various primary sources and then compile the data in respective company profiles. The company level information helps us in deriving the base number as well as in forecasting the market size.

  • Developing Base Number:

Aggregation of sales statistics (2020-2022) and macro-economic factor, and other secondary and primary research insights are utilized to arrive at base number and related market shares for 2022. The data gaps are identified in this step and relevant market data is analyzed, collected from paid primary interviews or databases. On finalizing the base year market size, forecasts are developed on the basis of macro-economic, industry and market growth factors and company level analysis.

  1. Data Triangulation and Final Review:

The market findings and base year market size calculations are validated from supply as well as demand side. Demand side validations are based on macro-economic factor analysis and benchmarks for respective regions and countries. In case of supply side validations, revenues of major companies are estimated (in case not available) based on industry benchmark, approximate number of employees, product portfolio, and primary interviews revenues are gathered. Further revenue from target product/service segment is assessed to avoid overshooting of market statistics. In case of heavy deviations between supply and demand side values, all thes steps are repeated to achieve synchronization.

We follow an iterative model, wherein we share our research findings with Subject Matter Experts (SME’s) and Key Opinion Leaders (KOLs) until consensus view of the market is not formulated – this model negates any drastic deviation in the opinions of experts. Only validated and universally acceptable research findings are quoted in our reports.

We have important check points that we use to validate our research findings – which we call – data triangulation, where we validate the information, we generate from secondary sources with primary interviews and then we re-validate with our internal data bases and Subject matter experts. This comprehensive model enables us to deliver high quality, reliable data in shortest possible time.