Data Fabric 市场基于(关键地区、市场参与者、规模和份额)- 到 2031 年的预测

  • Report Code : TIPTE100000792
  • Category : Technology, Media and Telecommunications
  • Status : Published
  • No. of Pages : 198
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[研究报告]数据结构市场预计将从 2021 年的 124104 万美元增至 2028 年的 246612 万美元;预计 2021 年至 2028 年复合年增长率为 10.3%。

互联网使用量不断增长,智能手机、笔记本电脑、平板电脑和电脑等多种联网设备不断增加,直接增加业务数据的数量和种类。例如,摄像机和传感器用于监控目的并连续收集位置数据。从收集的数据中获取有意义的见解的需求日益增长,推动了企业对数据分析的采用。出于分析目的,数据是从数据结构中提取的。

此外,在分析时,数据结构会集成来自结构化、半结构化和非结构化数据集的数据。由于多个业务组织数字化的发展,业务数据的种类和数据集的数量每天都在增加。例如,根据 Domo 的第八年数据,消费者在网上花费了 100 万美元,进行了 140 万次视频和语音通话,在 Facebook 上分享了 150,000 条消息,并在 Netflix 上播放了 404,000 小时的视频。因此,需要管理的集体数据数量巨大。因此,数据结构用于数据管理。数据结构有助于集成来自不同来源的数据、存储大量数据并在一个地方对其进行无缝分析。因此,为了收集业务信息,对 Data Fabric 的需求不断增长。


战略见解

COVID-19 大流行对 Data Fabric 市场的影响

COVID-19 大流行影响了全球大部分业务。病毒感染患者数量的持续增长迫使各国政府限制人员和货物的运输。封锁的实施导致大宗商品、商品和服务的生产减少。制造、汽车、半导体和电子、石油和天然气、采矿、航空和其他行业由于活动暂时关闭而导致运营下降。

COVID-19 大流行迫使企业寻找快速恢复的新替代方案,并关注危机时期获取足够数据的迫切需要。此外,银行已转向远程销售和服务团队,并向客户推出数字化服务,以便为贷款和抵押贷款做出灵活的支付安排。杂货店已转向在线订购和送货作为主要业务。许多地区的学校都采用了在线学习和数字教室。这些方法导致业务数据的数量和种类不断增加。因此,对业务敏捷性和数据可访问性的需求不断增长,以及对实时流分析的需求不断增长,是促进数据结构市场增长的因素之一。

利润丰厚Data Fabric 市场区域


Data Fabric 市场洞察

实时分析需求不断增长

在过去的几年里,大数据分析已成为从业者和研究人员的主要研究兴趣。全球范围内对大数据分析应用的私人和公共投资已激增至数百万美元。由于移动数据和云计算流量的增加以及人工智能(AI)和物联网(IoT)等技术的不断发展和采用,数据量和复杂性迅速增长,推动了对大数据的需求分析技术。这些技术具有彻底改变业务的巨大潜力。大数据平台有效分析庞大的结构化和非结构化数据集。 BFSI 行业是在大数据和分析技术上投入大量资金的最大行业之一。北美和欧洲等潜在地区在实施这些技术方面非常积极。此外,这些地区的政府正在实施各种项目,将大数据应用到各个行业。例如,2015 年和 2017 年的欧洲大数据项目获得了欧盟 Horizon 2020 研究和创新计划的资助。该项目在多个领域设计了大数据应用原型,可以提供大量数据集,并可以朝着数据驱动的解决方案方向发展。因此,从数据结构中收集数据用于实时分析目的。

大数据分析技术是数据结构市场的重要驱动力之一,有助于从各种来源(例如网络和社交媒体)的非结构化数据中获得结构化和海量数据,从而获得可操作的见解。从大数据分析中获得的洞察力可帮助企业增强众多领域的能力,例如客户保留、新市场发现、优化客户服务、员工保留和提高客户忠诚度。因此,对实时分析不断增长的需求有助于数据结构市场的增长。

基于部署的市场洞察

基于部署,数据结构市场分为云和本地。 2020 年,云细分市场处于领先地位,并占据了更大的市场份额。

2020 年和 2028 年按部署划分的 Data Fabric 市场(%)
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基于组件的市场洞察

基于组件,数据结构市场分为软件和服务。 2020年,软件领域占据了更大的市场份额。

基于解决方案的市场洞察

基于解决方案,Data Fabric市场是分为数据发现、数据摄取、数据编排、结构数据访问、数据管理和结构管理。 2020年,数据管理领域占据了更大的市场份额。

基于最终用户的市场洞察

基于最终用户,数据面料市场分为 BFSI、IT 和 BFSI。电信、零售、医疗保健和制药等。 2020年,BFSI细分市场引领数据结构市场,占据最大市场份额。

数据结构市场参与者采取合并、收购等策略和市场举措以维持其市场地位。下面列出了主要参与者的一些进展:

  • 2021 年 3 月,数据虚拟化行业领导者 Denodo Technologies Inc. 推出了 Denodo Standard,这是一种可在著名云市场上使用的新数据集成解决方案。新解决方案中使用 Denodo 当前的数据虚拟化引擎,可实现更高的性能和生产力,从而无需将数据复制到另一个存储库即可实现实时分析和数据服务。

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  • 2020年9月,Denodo Technologies Inc.发布了新版本的Denodo平台软件。最新版本 8.0 旨在通过加速混合/多云集成以及使用人工智能 (AI) 和机器学习 (ML) 以及智能查询加速实现数据管理自动化来提高性能。该平台通过提供智能建议、超性能和平台即服务 (PaaS) 支持,支持将数据虚拟化为逻辑数据结构。
< h3>全球数据结构市场已细分如下:

按部署

  • 本地

  • 按组件

    • 软件
    • 服务


    按解决方案

    < ul>
  • 数据发现
  • 数据摄取
  • 数据编排
  • 结构数据访问
  • 数据管理
  • 结构管理

最终用户

  • BFSI
  • IT 与技术电信
  • 零售
  • 医疗保健和医疗保健制药
  • 其他

按地理位置

  • 北美
    • 美国
    • 加拿大< /li>
    • 墨西哥
  • 欧洲
    • 法国
    • 德国
    • 意大利
    • 英国
    • 俄罗斯
    • 欧洲其他地区
  • 亚太地区 (APAC)
    • 中国< /li>
    • 印度
    • 韩国
    • 日本
    • 澳大利亚
    • 亚太地区其他地区
  • 中东和中东地区非洲 (MEA)
    • 南非
    • 沙特阿拉伯
    • 阿联酋
    • 中东和非洲其他地区
  • 南美洲 (SAM)
    • 巴西
    • 阿根廷
    • SAM 的其他地区

公司简介

  • Denodo Technologies
  • IBM Corporation
  • Informatica Corporation
  • K2View
  • NetApp, Inc.
  • Oracle Corporation
  • SAP SE
  • Software AG
  • Teradata
  • Teradata
  • SAP SE
  • Software AG
  • Teradata
  • li>
  • 惠普企业开发有限责任公司 (HPE)
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 are the driving factors responsible for the growth of Data fabric market?

Rising Quantity and Variety of Business Data
Growing Demand for Real-Time Analytics

What are the market opportunities for data fabric market?

With the growing population, the number of internet users is increasing. For instance, it has been observed that there are 4.66 Million internet users present globally (59% of the global population). From this total, 92.6% (4.32 Million) users accessed internet through mobile devices. A few countries with the highest internet penetration rate globally are Denmark, the UAE, and Sweden. Further, till 2020, APAC had the largest number of online users with over 2.5 Million and Europe was ranked second with almost 728 million internet users. In 2020, China held the leading market share in the world, followed by India and the US. China has more than 854 million internet users and India has around 560 million online users. Still there are a few MEA countries, such as Oman, Qatar, and Kuwait, where the digitalization and internet are in initial phase. The continuous growth in the internet users also let the industries to transform their business to the digital platform. Also, the need for cloud technology has positively impacted the businesses because of the storage and data transfer facilities and cost-effectiveness.

Which deployment type-based segment has the largest market share in 2020?

Based on the deployment type, the data fabric market is segmented into cloud and on-premise. The global data fabric market is dominated by cloud segment in 2020, which accounted for 69.1%.

What are the future trend for data fabric market?

With the digital transformation, the use of the cloud-based platform is increasing due to the simplification of the deployment time and the reduction in the deployment cost. Further, the internet infrastructure has matured in developed countries and is flourishing in several developing countries across the world, which allows Components in these countries access to the cloud-based platform. The adoption of data fabric across several applications is associated with the varying end user requirements. However, technological advancements also play a vital role in enhancing the adoption trend by companies and customers. For instance, many financial institutions use financial analytics to gain insights, ensure optimal performance, and make crucial decisions. Financial analytics helps the banking sector enhance the customer experience and assists in risk management.

Who are the major vendors in the data fabric market?

A few key companies operating in the data fabric market are Denodo Technologies; IBM Corporation; Informatica Corporation; K2View; NetApp, Inc.; Oracle Corporation; SAP SE; Software AG; Teradata; and Hewlett Packard Enterprise Development LP (HPE). Several other companies are also functioning in the market and are contributing substantial revenues toward the market's growth.

Which region has the largest market share in the data fabric market?

North America held the significant market share in year 2020, along with the notable revenue generation opportunities in Europe and APAC.

The List of Companies - Data Fabric Market

  1. Denodo Technologies Inc
  2. Hewlett Packard Enterprise Company
  3. IBM Corp.
  4. Informatica Corporation
  5. K2VIEW
  6. NetApp, Inc.
  7. Oracle Corporation
  8. SAP SE
  9. Software AG
  10. Teradata Corporation

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.

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