市场调查报告书
商品编码
1499446
资料网格市场:按产品、方法类型、应用程式和最终用户划分 - 2024-2030 年全球预测Data Mesh Market by Offering (Services, Solution), Approach Type (Coarse-Grained, Fine-Grained, Hybrid Federated Mesh), Application, End-User - Global Forecast 2024-2030 |
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预计2023年资料网格市场规模为13.1亿美元,预计2024年将达15亿美元,2030年将达35亿美元,复合年增长率为15.01%。
资料网格是一种创新的策略性资料架构方法,它优先考虑去中心化而不是传统的集中式资料仓储和资料架构。这种方法承认资料是一项重要资产,最好在具有最多领域知识的来源附近进行管理。资料网格是为了解决大规模管理资料的复杂性而引入的概念,特别是在分散式和动态环境中。资料网格技术已应用于金融、医疗、电子商务、物流等多个行业,这些行业会产生大量不同的资料,需要有效率的管理。资料网格结构的最终用途包括资料分析、资料科学和商业智慧,其目标范围从即时决策支援到机器学习和预测分析。资料网格市场的成长是由大型企业资料环境日益复杂、改进资料管治和合规性的需求、加速数位转型以及对能够适应不断变化的业务需求的扩充性和灵活的资料架构的需求等因素推动的。然而,这个市场面临着限制和挑战,包括整合旧有系统和资料网格的复杂性、需要先进的技术专业知识来实施和管理架构,以及围绕资料安全和隐私的担忧。同时,资料网格市场不断涌现机会,例如云端原生技术的出现、资料驱动型组织的成长、资料处理中人工智慧和机器学习的整合以及决策中即时资料分析的需求。此外,物联网的扩展和5G技术的发展将为资料网格应用的有效蓬勃发展提供新的途径。
主要市场统计 | |
---|---|
基准年[2023] | 13.1亿美元 |
预测年份 [2024] | 15亿美元 |
预测年份 [2030] | 35亿美元 |
复合年增长率(%) | 15.01% |
区域洞察
由于强调资料架构和分析创新的全球公司的强大存在,美洲的资料网格市场呈现强劲成长。美国处于资料网格采用的前沿,拥有成熟的技术部门和主要市场参与者大力投资敏捷、可扩展的资料管理解决方案,以实现分散的资料所有权和管治。资料网格市场正在南美洲兴起,并逐渐在巴西和阿根廷等国家采用。跨产业的数位转型努力正在影响市场扩张,并提高人们对采用支援资料主导决策的现代资料架构的好处的认识。欧盟 (EU) 国家对资料网格表现出强烈的亲和性,因为 GDPR 等严格的资料保护法鼓励企业探索创新的方法来分散资料,同时确保隐私。欧盟的研究往往侧重于道德人工智慧和负责任的资料管理系统,并且通常由公私倡议的联合计划资助。中东和非洲 (MEA) 的资料网格市场正处于起步阶段。然而,随着政府和私营部门越来越多地参与数位转型工作,预计它将获得动力。然而,资料主权和各国不同的成熟度等因素可能会影响采用的速度。亚太地区为资料网格市场提供了巨大的机会,中国、印度、日本和韩国等国家的资料生成和先进技术的快速采用都经历了爆炸性成长。中国最近的资料处理和分析专利专注于增强资料网格架构、优化资料分布和在地化决策。日本对品质和创新一丝不苟的态度推动了设备和服务互连领域的先进研究和开发。日本的资料网格技术通常着重于提高製造效率和满足复杂的消费者服务需求。同时,数位科技在印度的应用正在迅速进展,刺激了提高资料可近性和识字率的努力。
FPNV定位矩阵
FPNV定位矩阵对于评估供应商在资料网格市场的定位至关重要。此矩阵提供了对供应商的全面评估,并检验了与业务策略和产品满意度相关的关键指标。这种详细的评估使用户能够根据自己的要求做出明智的决定。根据评估,供应商被分为代表其成功程度的四个像限:前沿(F)、探路者(P)、利基(N)和重要(V)。
市场占有率分析
市场占有率分析是一种综合工具,可以对资料网格市场中供应商的当前状态进行深入而详细的评估。透过仔细比较和分析供应商的贡献,您可以更深入地了解每个供应商的绩效以及他们在争夺市场占有率时面临的挑战。这些贡献包括整体收益、客户群和其他重要指标。此外,该分析还提供了对该行业竞争力的宝贵见解,包括研究基准年期间观察到的累积、分散主导地位和合併特征等因素。有了这些详细信息,供应商可以做出更明智的决策并製定有效的策略,以在市场竞争中保持领先地位。
策略分析与建议
策略分析对于寻求在全球市场站稳脚跟的组织至关重要。对资料网格市场目前地位的全面评估使公司能够做出符合其长期愿望的明智决策。此关键评估涉及对组织的资源、能力和整体绩效进行彻底分析,以确定核心优势和需要改进的领域。
[181 Pages Report] The Data Mesh Market size was estimated at USD 1.31 billion in 2023 and expected to reach USD 1.50 billion in 2024, at a CAGR 15.01% to reach USD 3.50 billion by 2030.
A data mesh is an innovative and strategic approach to data architecture that prioritizes decentralization over traditional centralized data warehouses and lakes. This approach acknowledges that data is a critical asset and is best managed close to the source, where domain knowledge is richest. Data mesh, as a concept, has been introduced to address the complexities of managing data at scale, especially in distributed and dynamic environments. Data mesh technologies are applied across numerous industries, such as finance, healthcare, e-commerce, and logistics, wherein large volumes of disparate data are generated and require efficient management. The end-use of data mesh structures includes data analytics, data science, and business intelligence, with purposes ranging from real-time decision-making support to machine learning and predictive analytics. The growth of the data mesh market is influenced by factors such as the increasing complexities of data landscapes in large enterprises, the need for improved data governance and compliance, the acceleration of digital transformations, and the demand for more scalable and flexible data architecture that can adapt to changing business needs. However, the market faces limitations and challenges, such as the complexity of integrating data mesh with legacy systems, the need for advanced technical expertise to implement and manage the architecture, and concerns surrounding data security and privacy. On the other hand, opportunities in the data mesh market are emerging with the advent of cloud-native technologies, the growth of data-driven organizations, the integration of AI and ML in data processes, and the need for real-time data analytics in decision-making. Furthermore, the expansion of IoT and the development of 5G technologies offer new avenues for data mesh applications to flourish effectively.
KEY MARKET STATISTICS | |
---|---|
Base Year [2023] | USD 1.31 billion |
Estimated Year [2024] | USD 1.50 billion |
Forecast Year [2030] | USD 3.50 billion |
CAGR (%) | 15.01% |
Regional Insights
The Americas exhibits robust growth in the data mesh market, driven by a strong presence of global enterprises emphasizing innovation in data architecture and analytics. The United States is at the forefront of adopting data mesh due to its mature technology sector and key market players investing heavily in agile and scalable data management solutions to enable decentralized data ownership and governance. The data mesh market is emerging in South America, with countries such as Brazil and Argentina witnessing gradual adoption. The digital transformation initiatives across industries influence the market's expansion, and there's an increasing awareness of the benefits of adopting contemporary data architectures to support data-driven decisions. The European Union (EU) countries exhibit a strong affinity for data mesh due to their stringent data protection laws, such as GDPR, which prompt enterprises to seek innovative ways to decentralize data while ensuring privacy. Research in the EU tends to focus on ethical AI and responsible data management systems, with collaboration projects often funded by public-private initiatives. The data mesh market in the Middle East and Africa (MEA) is at a budding stage. However, it is expected to gain momentum due to the rising initiatives by governments and private sectors in digital transformation. However, factors such as data sovereignty and the varied maturity levels across different countries can affect the pace of adoption. The APAC region exhibits a significant opportunity for the data mesh market, with an explosive increase in data generation and rapid adoption of advanced technologies in countries including China, India, Japan, and South Korea. Recent data processing and analytics patents in China focus on enhancing data mesh architectures, optimizing data distribution, and localized decision-making. Japan's meticulous approach to quality and innovation has led to advanced research and development in the interconnectedness of devices and services. Data mesh technology in Japan often focuses on improving efficiency in manufacturing and addressing complex consumer service demands. Meanwhile, India's surge in digital uptake has fueled initiatives in data accessibility and literacy, reflecting a unique blend of technological adoption and emphasis on education and skill development.
Market Insights
The market dynamics represent an ever-changing landscape of the Data Mesh Market by providing actionable insights into factors, including supply and demand levels. Accounting for these factors helps design strategies, make investments, and formulate developments to capitalize on future opportunities. In addition, these factors assist in avoiding potential pitfalls related to political, geographical, technical, social, and economic conditions, highlighting consumer behaviors and influencing manufacturing costs and purchasing decisions.
FPNV Positioning Matrix
The FPNV positioning matrix is essential in evaluating the market positioning of the vendors in the Data Mesh Market. This matrix offers a comprehensive assessment of vendors, examining critical metrics related to business strategy and product satisfaction. This in-depth assessment empowers users to make well-informed decisions aligned with their requirements. Based on the evaluation, the vendors are then categorized into four distinct quadrants representing varying levels of success, namely Forefront (F), Pathfinder (P), Niche (N), or Vital (V).
Market Share Analysis
The market share analysis is a comprehensive tool that provides an insightful and in-depth assessment of the current state of vendors in the Data Mesh Market. By meticulously comparing and analyzing vendor contributions, companies are offered a greater understanding of their performance and the challenges they face when competing for market share. These contributions include overall revenue, customer base, and other vital metrics. Additionally, this analysis provides valuable insights into the competitive nature of the sector, including factors such as accumulation, fragmentation dominance, and amalgamation traits observed over the base year period studied. With these illustrative details, vendors can make more informed decisions and devise effective strategies to gain a competitive edge in the market.
Recent Developments
J.P. Morgan Fusion launches Data Mesh solution
JPMorgan Chase & Co. has introduced its Securities Services Data Mesh, an innovative platform designed to enhance investors' access to pivotal investment data across custody, fund accounting, and middle-office services provided by the bank. The Data Mesh platform aims to address the challenges of integrating asset servicing data, especially as investment portfolios escalate in complexity and volume. [Published On: 2023-10-10]
Trianz Launches Extrica Data Mesh Platform on AWS Marketplace, Accelerating Governed Data Access and Usage of Analytics & AI for Global Enterprises
Trianz introduces Extrica, an innovative data mesh platform accessible on the AWS Marketplace. Extrica is uniquely designed to optimize data management for global enterprises, allowing the seamless creation, maintenance, and distribution of data products without extensive data migration. [Published On: 2023-07-12]
Data Engineering Automation Pioneer Nexla Acquires Fidap
Nexla, Inc. has announced the strategic acquisition of Fidap, a provider of curated data sets designed for advanced analytics and machine learning applications. This acquisition aimed to merge Fidap's expertise in crafting ready-to-use external data with Nexla's advanced automation tools, further enhancing Nexsets-Nexla's robust data product solution. [Published On: 2022-08-24]
Strategy Analysis & Recommendation
The strategic analysis is essential for organizations seeking a solid foothold in the global marketplace. Companies are better positioned to make informed decisions that align with their long-term aspirations by thoroughly evaluating their current standing in the Data Mesh Market. This critical assessment involves a thorough analysis of the organization's resources, capabilities, and overall performance to identify its core strengths and areas for improvement.
Key Company Profiles
The report delves into recent significant developments in the Data Mesh Market, highlighting leading vendors and their innovative profiles. These include Alation, Inc., Alex Solutions Pty Ltd., Amazon Web Services, Inc., Ataccama, Atlan Pte Ltd., Cinchy Inc., Collibra Belgium BV, Confluent, Inc., Databricks, Inc., DataKitchen, Inc., Denodo Technologies, Inc., Iguazio Ltd. by McKinsey & Company, Informatica LLC, Intenda, International Business Machines Corp., K2view Ltd., Microsoft Corporation, Monte Carlo Data, Inc., NetApp, Inc., Nexla, Inc., Next Data, Oracle Corporation, QlikTech International AB, Radiant Logic, Inc., SAP SE, Snowflake Inc., STARBURST DATA, INC., and Teradata Corporation.
Market Segmentation & Coverage