Data Mesh Market Strategies, Trends, and Forecast by 2031
数据网格市场规模预计将从 2023 年的 12.8 亿美元增至 2031 年的 42.7 亿美元。预计 2023 年至 2031 年期间市场复合年增长率为 16.3%。在预测期内,混合和多云环境的采用率不断提高可能会带来新的数据网格市场趋势。
数据网格市场分析
对 AI、ML、物联网和大数据分析工具和技术的投资不断增加,推动了数据网格市场的发展。此外,全球消费者越来越多地采用数据集成和交付解决方案,预计将在预测期内为数据网格市场的增长创造机会。
数据网格市场概览
数据网格是一种去中心化的数据架构,专注于改善组织内的数据管理和可访问性。数据网格架构用于提高数据质量、分析和决策能力,这增加了全球企业对它的需求。数据网格解决方案成功满足了企业不断变化的需求,这些企业在数据驱动的环境中寻求创造力和创新、明智的决策和灵活性。
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数据网格市场:
复合年增长率(2023 - 2031)16.3%- 2023 年市场规模
12.8 亿美元 - 2031 年市场规模
42.7 亿美元
市场动态
- 企业对民主化的需求日益增长
- 联邦计算治理需求日益增长
- 市场参与者不断提升的战略举措
- 面向领域的数据架构需求
- 解锁数据治理的细粒度监管以及与云原生技术的集成
关键人物
- 思爱普
- 微软公司
- Alphabet 公司
- 甲骨文公司
- 国际商业机器公司
- 亚马逊公司
- Dremio公司
- QlikTech 国际公司
- Confluent 公司
- 日立Vantara公司
区域概况
- 北美
- 亚太地区
- 欧洲
- 中东和非洲
- 南美洲和中美洲
市场细分
- 数据集成与交付
- 联合数据治理
- 数据操作
- 数据转换和编排
- 本地部署
- 云
- 客户体验参与
- 数据隐私管理
- 物联网监控
- 金融保险业协会
- 零售与电子商务
- 信息技术和电信
- 卫生保健
- 政府和公共部门
- 示例 PDF 通过定性和定量分析展示了内容结构和信息的性质。
数据网格市场驱动因素和机遇
企业对民主化和可访问性的需求不断增长,推动数据网格市场增长
企业对数据民主化的需求日益增长,推动了数据网格市场的发展。数据民主化需要数据网格架构来管理大数据。数据网格架构标志着一种变革,它为企业提供了快速访问企业内部准确和相关数据的途径。全球许多企业正在通过创造一种自由访问、理解和使用特定数据和职责的氛围来打破存储大数据的传统方法。这种民主化方法允许即时访问情境化和实时数据,并鼓励团队和企业之间的协作,从而促进更快的决策。
企业对数据网格策略的需求不断增长,其采用率也不断提高,推动了市场的增长。数据网格策略促进了基于团队的数据所有权和责任制文化,激发了创造力,提高了企业生产力。这些策略允许企业将数据结构化为可管理和自助服务域。此过程可确保用户可以轻松访问、理解和使用数据。此外,企业对用于管理和处理不同领域数据的数据网格解决方案的需求不断增长,这也推动了市场的发展。
解锁数据治理的细粒度监管以及与云原生技术的集成
联合计算治理是一种框架,通过确保互连数据域之间的质量、安全性和合规性来促进协作和决策。联合计算治理环境使得建立联合数据所有权成为可能,以确保数据的安全性、质量和隐私性。该环境由特定领域的专家而非中央管理机构使用,用于适当管理组织特定领域中的大量数据,包括营销和销售、人力资源、财务和会计、研发等。例如,根据 2023 年 8 月的 ZipDo 报告,金融行业对大数据和商业分析的投资在 2023 年达到 1002 亿美元,比 2020 年增长 43.0%。财务和会计领域每天都要处理大量数据,这增加了组织对数据网格解决方案的需求,以便准确管理和做出实时决策。数据网格鼓励领域专家和数据管理员产生责任感和主人翁意识。这种分布式所有权使治理技术更接近财务和会计数据领域的细微差别和复杂性,预计将在预测期内为市场创造机会。
数据网格市场报告细分分析
有助于得出数据网格市场分析的关键部分是解决方案、部署、应用和垂直行业。
- 根据解决方案,数据网格市场分为数据集成和交付、联合数据治理、数据操作、数据转换和编排等。数据集成和交付部分在 2023 年占据了最大的市场份额。
- 数据集成和交付解决方案用于组合来自各种来源的数据,从而增加企业在管理人力资源、财务会计、供应链和其他职能方面的采用。
- 企业对数据集成和交付解决方案的需求不断增长,以确保用户数据的准确性和一致性,从而推动了该领域市场的发展。
数据网格市场份额(按地区)分析
- 数据网格市场分为五大区域——北美、欧洲、亚太地区 (APAC)、中东和非洲 (MEA) 以及南美和中美。
- 就收入而言,北美占据了数据网格市场份额的主导地位。由于该地区对大数据技术的采用和投资很高,该地区在全球数据网格市场趋势的扩张中贡献了显著的份额。
- 由于微软公司、亚马逊网络服务公司、Alphabet 公司、甲骨文公司、国际商业机器公司、Snowflake 公司、K2view 有限公司、Denodo Technologies 公司和 Informatica 公司等主要市场参与者的存在,预计美国市场将在预测期内扩大。这些参与者不断致力于开发新的先进技术并签署合作协议以吸引全球客户。例如,2023 年 4 月,国际商业机器公司与西门子股份公司合作开发集成软件解决方案。此次合作有助于两家公司加强长期合作,以开发用于管理大量数据的集成软件解决方案。
- 此外,预计预测期内对人工智能和大数据分析等先进技术的需求不断增长将有助于北美数据网格市场规模的不断增长。
数据网格市场报告范围
报告属性 | 细节 |
---|---|
2023 年的市场规模 | 12.8亿美元 |
2031 年市场规模 | 42.7亿美元 |
全球复合年增长率(2023 - 2031) | 16.3% |
史料 | 2021-2022 |
预测期 | 2024-2031 |
涵盖的领域 | 按解决方案
|
覆盖地区和国家 | 北美
|
市场领导者和主要公司简介 |
|
- 示例 PDF 通过定性和定量分析展示了内容结构和信息的性质。
数据网格市场新闻和最新发展
数据网格市场通过收集一手和二手研究后的定性和定量数据进行评估,其中包括重要的公司出版物、协会数据和数据库。以下列出了数据网格市场的一些发展情况:
- 国际商业机器公司的 Cloud Pak for Data 团队宣布 Cloud Pak for Data (CPD) 4.8 版正式发布。Cloud Pak for Data (CPD) 4.8 的更新版本侧重于可维护性,以增强 CPD 平台和服务的管理和维护。4.8 版还提供了广泛的功能,可提供有关平台的更多信息,并主动确保 CPD 生产工作负载的稳定环境。(来源:国际商业机器公司,新闻稿,2023 年 12 月)
- Oracle 公司和微软公司扩大了合作伙伴关系,推出了 Oracle Database Azure,这是一种在 Azure 数据中心提供 Oracle Database 服务的新解决方案。Oracle Database Azure 为用户提供了直接访问在 Oracle Cloud Infrastructure (OCI) 上运行并部署在 Azure 数据中心的 Oracle 数据库服务的好处。这为客户在运行和管理工作负载方面提供了更大的灵活性。(来源:Oracle 公司,新闻稿,2023 年 9 月)
- Informatica Inc 在亚马逊网络服务 (AWS) 日本地区推出了智能数据管理 (IDMC) 云,以支持其客户实现数据主导的云现代化。IDMC 通过遵守其在该国客户的数据驻留要求,支持 Informatica Inc 访问、管理和加速数据转换以获得业务洞察。(来源:Informatica Inc,新闻稿,2023 年 6 月)
数据网格市场报告覆盖范围和交付成果
“数据网格市场规模和预测(2021-2031)”对市场进行了详细的分析,涵盖了以下领域:
- 数据网格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
- 数据网格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
- 数据网格市场分析涵盖主要市场趋势、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网格市场的最新发展
- 详细的公司简介
Report Coverage
Revenue forecast, Company Analysis, Industry landscape, Growth factors, and Trends
Segment Covered
This text is related
to segments covered.
Regional Scope
North America, Europe, Asia Pacific, Middle East & Africa, South & Central America
Country Scope
This text is related
to country scope.
Frequently Asked Questions
The data mesh market is expected to register an incremental growth value of US$ 2.99 billion during the forecast period.
Asia Pacific is expected to register highest CAGR in the data mesh market during the forecast period (2023-2031).
The estimated global market size for the data mesh market in 2023 is expected to be around US$ 1.28 billion
Growing demand for democratization and accessibility among businesses and growing demand for data integration and delivery solution among enterprises are the major factors that propel the data mesh market.
The global market size of data mesh market by 2031 will be around US$ 4.27 billion.
Cloud segment is expected to hold a major market share of data mesh market in 2023.
The US is expected to hold a major market share of data mesh market in 2023.
The US, Germany, and the UK are expected to register high growth rate during the forecast period.
Microsoft Corp, Amazon Web Services Inc, Alphabet Inc, Oracle Corp, International Business Machines Corp, SAP SE, Snowflake Inc, K2view Ltd, Denodo Technologies Inc, and Informatica Inc are the key market players expected to hold a major market share of data mesh market in 2023.
Increasing adoption of hybrid and multi-cloud environments are anticipated to play a significant role in the data mesh market in the coming years.
The List of Companies - Data Mesh Market
- SAP SE
- Microsoft Corp
- Alphabet Inc
- Oracle Corp
- International Business Machines Corp
- Amazon.com Inc
- Dremio Corp
- QlikTech International AB
- Confluent Inc
- Hitachi Vantara Corp
The Insight Partners performs research in 4 major stages: Data Collection & Secondary Research, Primary Research, Data Analysis and Data Triangulation & Final Review.
- 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.
- 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:
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.
- 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.
- 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.