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세계의 데이터 메시 시장 규모, 점유율, 동향 분석 : 제공별, 솔루션 유형별, 어프로치별, 용도별, 비지니스 기능별, 업계별, 지역별 전망과 예측(2023-2030년)
Global Data Mesh Market Size, Share & Trends Analysis Report By Offering (Solution) , By Solution Type, By Approach, By Application, By Business Function, By Vertical, By Regional Outlook and Forecast, 2023 - 2030
상품코드 : 1450522
리서치사 : KBV Research
발행일 : 2024년 02월
페이지 정보 : 영문 467 Pages
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한글목차

세계의 데이터 메시 시장 규모는 2030년까지 36억 달러에 달하며, 예측 기간 중 CAGR 16.5%로 성장할 것으로 예측되고 있습니다.

KBV Cardinal matrix 분석에 따르면: Microsoft Corporation은 이 시장의 선구자입니다. 2023년 10월, Microsoft Corporation은 미국의 다국적 피자 레스토랑 체인인 Domino's Pizza, Inc.와 제휴했습니다. 이 제휴를 통해 양사는 Azure OpenAI와 Microsoft Cloud Services를 강화하여 개인화되고 간소화된 주문 프로세스를 통해 고객 경험을 향상시켰습니다. Oracle(Oracle Corporation), IBM Corporation, Informatica Inc. 등의 기업은 시장의 주요 혁신 기업 중 일부입니다.

시장 성장 요인

데이터의 소유권을 분산시키면 개별 팀이나 사업부가 특정 데이터 제품에 대한 통제권을 갖고 권한을 부여할 수 있습니다. 또한 개별 팀이 데이터를 소유하면 더 빠른 의사결정을 내릴 수 있습니다. 이는 그들이 특정 도메인의 맥락, 요구 사항 및 뉘앙스를 깊이 이해하고 있기 때문입니다. 따라서 이러한 측면으로 인해 향후 수년간 메쉬에 대한 수요가 증가할 것으로 예상됩니다.

데이터를 전략적 자산으로 취급하는 것은 비즈니스 성과를 촉진하는 데 있으며, 데이터의 가치를 인식하는 것을 포함합니다. 전략적으로 관리하면 조직은 데이터가 경쟁 우위를 제공하고, 의사결정 과정을 지원하며, 혁신을 촉진할 수 있다는 것을 인식하게 됩니다. 또한 기업은 데이터를 가치 있는 제품으로 취급하여 팀에게 정보에 입각한 의사결정에 필요한 정보를 제공하는 것을 목표로 하고 있습니다. 따라서 시장은 향후 수년간 빠르게 성장할 것으로 예상됩니다.

시장 성장 억제요인

분산형 메시 접근 방식을 채택할 때 기존 조직 구조 내에서 저항에 부딪히는 경우가 많은데, 이는 주로 사고방식, 역할, 책임에 대한 근본적인 변화가 필요하기 때문입니다. 또한 이 메시가 제안하는 분산화는 기존의 규범에 도전하고 개별 팀이나 도메인이 데이터 제품의 소유권을 가져야 한다는 것을 시사합니다. 따라서 이러한 요인들로 인해 향후 이 메시 수요는 감소할 것으로 예상됩니다.

목차

제1장 시장 범위와 조사 방법

제2장 시장 요약

제3장 시장 개요

제4장 경쟁 분석 - 세계

제5장 세계의 데이터 메시 시장 : 제공별

제6장 세계의 데이터 메시 시장 : 어프로치별

제7장 세계의 데이터 메시 시장 : 용도별

제8장 세계의 데이터 메시 시장 : 비지니스 기능별

제9장 세계의 데이터 메시 시장 : 업계별

제10장 세계의 데이터 메시 시장 : 지역별

제11장 기업 개요

제12장 데이터 메시 시장의 성공 필수 조건

KSA
영문 목차

영문목차

The Global Data Mesh Market size is expected to reach $3.6 billion by 2030, rising at a market growth of 16.5% CAGR during the forecast period.

Data mesh's decentralized nature aligns well with supply chain operations distributed and dynamic nature. Consequently, the operations and supply chain segment would acquire nearly 15% of the total market share by 2030. Data mesh enables the creation of data domains specifically tailored to the unique requirements of different supply chain functions. Thus, owing to these factors, the segment will witness an increased demand in the upcoming years.

The major strategies followed by the market participants are Partnerships as the key developmental strategy to keep pace with the changing demands of end users. For instance, Two news of any two random companies apart from leaders and key innovators. For instance, in December, 2023, Informatica Inc. signed an integration partnership with Databricks. Under the partnership, the two companies would combine Informatica's no-code data ingestion and transformation pipelines with Databricks-validated Unity Catalog integrations to facilitate better data onboarding and preparation. Moreover, in October, 2023, Monte Carlo Data, Inc. announced a partnership with Alation, to provide solutions for data discovery and verification. The two companies would achieve the aim by integrating Monte Carlo's end-to-end data observability capabilities with Alation's Data Intelligence Platform.

Based on the Analysis presented in the KBV Cardinal matrix; Microsoft Corporation is the forerunner in the Market. In October, 2023, Microsoft Corporation joined hands with Domino's Pizza, Inc., an American multinational pizza restaurant chain. Under this collaboration, the companies enhanced the Azure OpenAI and Microsoft Cloud Services to improve customer experiences through a personalized and simplified ordering process. Companies such as Oracle Corporation, IBM Corporation and Informatica Inc. are some of the key innovators in Market.

Market Growth Factors

The distribution of data ownership empowers individual teams or business units by granting them control over their specific data products. In addition, when individual teams own their data, they can make decisions more rapidly. This is because they deeply understand their specific domain's context, requirements, and nuances. Thus, these aspects will boost the demand for this mesh in the coming years.

Treating data as a strategic asset involves acknowledging its value in driving business outcomes. When managed strategically, organizations realize that data can provide a competitive advantage, support decision-making processes, and fuel innovation. Moreover, by treating data as valuable products, businesses aim to provide teams with the information they need for informed decision-making. Therefore, the market will grow rapidly in the upcoming years.

Market Restraining Factors

Adopting a decentralized mesh approach often encounters resistance within traditional organizational structures, primarily due to the fundamental shift it necessitates in mindset, roles, and responsibilities. Additionally, the decentralization proposed by this mesh challenges established norms, suggesting that individual teams or domains should take ownership of their data products. Hence, these factors will reduce the demand for this mesh in the future.

By Offering Analysis

Based on offering, the market is segmented into solution and services. The services segment acquired a 20% revenue share in the market in 2022. As organizations adopt this mesh model, there is a need for specialized services to help them implement and transition to this new paradigm. Consulting, training, and implementation services would be in demand. Since this mesh involves a shift in mindset and practices, organizations might have a skills gap. Service providers offering training and upskilling programs could see increased demand. Therefore, the segment will grow rapidly in the upcoming years.

By Approach Analysis

On the basis of approach, the market is divided into fine-grained, hybrid federated mesh, value chain-aligned mesh, and coarse-grained. The fine-grained segment recorded a 30% revenue share in the market in 2022. Fine-grained data can be more closely aligned with specific business domains. If there is a growing emphasis on domain-oriented data ownership within the this mesh framework, this could drive demand for solutions that cater to fine-grained data.

By Application Analysis

Based on application, the market is divided into customer experience management, data privacy management, chatbots/ virtual assistants, campaign management & IoT monitoring, and others. In 2022, the data privacy management segment witnessed a 20% revenue share in the market. Various teams or domains share data in this mesh architecture. This increased sharing underscores the importance of implementing effective data privacy measures to ensure that sensitive information is appropriately handled and protected. Therefore, there will be enhanced growth in the segment.

By Business Function Analysis

By business function, the market is segmented into finance & accounting, sales & marketing, research & development, operations & supply chain, HR, ITSM, and others. The finance and accounting segment procured a 20% revenue share in the market in 2022. As companies in the finance sector adopt the mesh principles, they are better positioned to harness the power of their data for informed decision-making, compliance, and strategic planning. The mesh architectures' modular and scalable nature allows seamless integration with existing finance and accounting systems, facilitating a smoother transition towards a more data-driven and efficient ecosystem. Thus, these aspects will boost the demand in the segment.

By Vertical

On the basis of vertical, the market is divided into BFSI, healthcare & life sciences, IT & telecom, retail & e-commerce, government & defense, energy & utilities, IT/ITeS, transportation & logistics, manufacturing, and others. In 2022, the IT and telecom segment acquired a 20% revenue share in the market. The telecom industry generates massive amounts of data due to the increasing use of mobile devices and IoT devices and the overall growth in network traffic. The mesh principles might be attractive for telecom companies to manage and utilize this data effectively.

By Regional Analysis

By region, the market is segmented into North America, Europe, Asia Pacific, and LAMEA. The North America segment procured 25% revenue share in the market in 2022. The increasing complexity and volume of data in North America drive organizations to explore more scalable and decentralized approaches like this mesh. The mesh emphasizes the creation of cross-functional, autonomous data teams. In North America, organizations are increasingly adopting agile methodologies and seeking ways to empower teams.

Recent Strategies Deployed in the Market

List of Key Companies Profiled

Global Data Mesh Market Report Segmentation

By Offering

By Approach

By Application

By Business Function

By Vertical

By Geography

Table of Contents

Chapter 1.Market Scope & Methodology

Chapter 2.Market at a Glance

Chapter 3.Market Overview

Chapter 4.Competition Analysis - Global

Chapter 5.Global Data Mesh Market by Offering

Chapter 6.Global Data Mesh Market by Approach

Chapter 7.Global Data Mesh Market by Application

Chapter 8.Global Data Mesh Market by Business Function

Chapter 9.Global Data Mesh Market by Vertical

Chapter 10.Global Data Mesh Market by Region

Chapter 11.Company Profiles

Chapter 12.Winning Imperatives of Data Mesh Market

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