市場調查報告書
商品編碼
1499446
資料網格市場:按產品、方法類型、應用程式和最終用戶分類 - 2024-2030 年全球預測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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預計2023年資料網格市場規模為13.1億美元,預計2024年將達15億美元,2030年將達35億美元,複合年成長率為15.01%。
資料網格是一種創新的策略性資料架構方法,它優先考慮去中心化而不是傳統的集中式資料倉儲和資料架構。這種方法承認資料是一項重要資產,最好在具有最多領域知識的來源附近進行管理。資料網格是為了解決大規模管理資料的複雜性而引入的概念,特別是在分散式和動態環境中。資料網格技術已應用於金融、醫療、電子商務、物流等多個行業,這些行業會產生大量不同的資料,需要有效率的管理。資料網格結構的最終用途包括資料分析、資料科學和商業智慧,其目標範圍從即時決策支援到機器學習和預測分析。資料網格市場的成長是由大型企業資料環境日益複雜、改進資料管治和合規性的需求、加速數位轉型以及對能夠適應不斷變化的業務需求的擴充性和靈活的資料架構的需求等因素推動的。然而,這個市場面臨著限制和挑戰,包括整合舊有系統和資料網格的複雜性、需要先進的技術專業知識來實施和管理架構,以及圍繞資料安全和隱私的擔憂。同時,資料網格市場不斷湧現機遇,例如雲端原生技術的出現、資料驅動型組織的成長、資料處理中人工智慧和機器學習的整合以及決策中即時資料分析的需求。此外,物聯網的擴展和5G技術的發展將為資料網格應用的有效蓬勃發展提供新的途徑。
主要市場統計 | |
---|---|
基準年[2023] | 13.1億美元 |
預測年份 [2024] | 15億美元 |
預測年份 [2030] | 35億美元 |
複合年成長率(%) | 15.01% |
區域洞察
由於強調資料架構和分析創新的全球公司的強大存在,美洲的資料網格市場呈現強勁成長。美國處於資料網格採用的前沿,擁有成熟的技術部門和主要市場參與者大力投資敏捷、可擴展的資料管理解決方案,以實現分散的資料所有權和管治。資料網格市場正在南美洲興起,並逐漸在巴西和阿根廷等國家採用。跨產業的數位轉型努力正在影響市場擴張,並提高人們對採用支援資料主導決策的現代資料架構的好處的認知。歐盟 (EU) 國家對資料網格表現出強烈的親和性,因為 GDPR 等嚴格的資料保護法鼓勵企業探索創新的方法來分散資料,同時確保隱私。歐盟的研究往往側重於道德人工智慧和負責任的資料管理系統,並且通常由公私舉措的聯合計劃資助。中東和非洲 (MEA) 的資料網格市場正處於起步階段。然而,隨著政府和私營部門擴大參與數位轉型工作,預計它將獲得動力。然而,資料主權和各國不同的成熟度等因素可能會影響採用的速度。亞太地區為資料網格市場提供了巨大的機遇,中國、印度、日本和韓國等國家的資料生成和先進技術的快速採用都經歷了爆炸性成長。中國最近的資料處理和分析專利專注於增強資料網格架構、最佳化資料分佈和在地化決策。日本對品質和創新一絲不苟的態度推動了設備和服務互連領域的先進研究和開發。日本的資料網格技術通常著重於提高製造效率和滿足複雜的消費者服務需求。同時,數位科技在印度的應用正在迅速進展,刺激了提高資料可近性和識字率的努力。
FPNV定位矩陣
FPNV定位矩陣對於評估供應商在資料網格市場的定位至關重要。此矩陣提供了對供應商的全面評估,並檢驗了與業務策略和產品滿意度相關的關鍵指標。這種詳細的評估使用戶能夠根據自己的要求做出明智的決定。根據評估,供應商被分為代表其成功程度的四個像限:前沿(F)、探路者(P)、利基(N)和重要(V)。
市場佔有率分析
市場佔有率分析是一種綜合工具,可以對資料網格市場中供應商的當前狀態進行深入而詳細的評估。透過仔細比較和分析供應商的貢獻,您可以更深入地了解每個供應商的績效以及他們在爭奪市場佔有率時面臨的挑戰。這些貢獻包括整體收益、客戶群和其他重要指標。此外,該分析還提供了對該行業競爭力的寶貴見解,包括研究基準年期間觀察到的累積、分散主導地位和合併特徵等因素。有了這些詳細資訊,供應商可以做出更明智的決策並製定有效的策略,以在市場競爭中保持領先地位。
策略分析與建議
策略分析對於尋求在全球市場站穩腳跟的組織至關重要。對資料網格市場目前地位的全面評估使公司能夠做出符合其長期願望的明智決策。此關鍵評估涉及對組織的資源、能力和整體績效進行徹底分析,以確定核心優勢和需要改進的領域。
[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 | |
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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