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Data Mesh Market by Offering (Solutions (Data Integration & Delivery, Federated Data Governance), Services), Application (Data Privacy & Customer Experience Management), Approach, Business Function, Vertical and Region - Global Forecast to 2028
»óǰÄÚµå : 1415816
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ÆäÀÌÁö Á¤º¸ : ¿µ¹® 340 Pages
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Report Description

Scope of the Report
Years Considered for the Study2019-2028
Base Year2022
Forecast Period2023-2028
Units ConsideredUSD (Billion)
SegmentsBy Offering, Approach, Business Function, Application, Vertical, and Region
Regions coveredNorth America, Europe, Asia Pacific, Middle East & Africa, and Latin America

The data mesh market is projected to grow from USD 1.2 billion in 2023 to USD 2.5 billion by 2028, at a compound annual growth rate (CAGR) of 16.4% during the forecast period. The market is anticipated to grow due to the increasing adoption of cloud native technologies, and maintaining robust governance and security. The shift towards democratization and accessibility of data forms a foundational driver in the data mesh market, catering to the evolving needs of the organization striving for agility, informed decision-making and innovation.

"By solutions, Data Transformation and Orchestration segment to register for fastest growing CAGR during the forecast period."

The solutions segment includes data integration and delivery, federated data governance, data operations, data transformation and orchestration and other solutions. Data orchestration solutions are gaining traction, providing the infrastructure needed to manage, automate, and govern the flow of data across decentralized systems and teams. An evolving trend involves the integration of AI and machine learning capabilities within these solutions, empowering automated decision-making and enhancing the efficiency of data transformation processes. This growing landscape reflects the increasing importance of agile, scalable, and adaptable data transformation and orchestration tools tailored to the nuances of data mesh architectures.

"By application, customer experience management to witness the largest market size during the forecast period."

The customer experience management application landscape within the data mesh market is experiencing substantial growth and transformation. Customer experience management within the data mesh framework aims to unify and analyze diverse sets of customer data from multiple domains in real time. These applications are designed to facilitate personalized and contextualized experiences by harnessing the insights derived from distributed data sources. Moreover, the integration of AI and machine learning capabilities within customer experience management in the data mesh ecosystem enables predictive and proactive customer engagement strategies, further optimizing the overall customer journey.

"By region, Asia Pacific to register for the highest CAGR during the forecast period." The data mesh industry in Asia Pacific is undergoing a major transformation as a result of the adoption of technology. Increased digital transformation initiatives among enterprises in countries like India, China, Japan, and Southeast Asian nations are driving the adoption of data mesh frameworks. Companies are recognizing the importance of decentralized data architectures in handling the vast and diverse data landscape within this dynamic region. Moreover, the rising focus on data privacy regulations and compliance standards is prompting organizations to seek more efficient, domain-centric approaches to data management, aligning well with the principles of data mesh.

Breakdown of primaries

In-depth interviews were conducted with Chief Executive Officers (CEOs), innovation and technology directors, system integrators, and executives from various key organizations operating in the data mesh market.

Middle East and Africa- 5%,

The report includes the study of key players offering data mesh solutions. It profiles major vendors in the data mesh market. The major players in the data mesh market include IBM (US), AWS (US), SAP (Germany), Oracle (US), Informatica (US), K2view (US), Talend (US), Denodo (US), HPE (US), NetApp (US), Teradata (US), Monte Carlo (US), Radiant Logic (US), Snowflake (US), Google (US), Microsoft (US), Global IDs (US), Estuary (US), DataKitchen (US), Databricks (US), Cinchy (Canada), Intenda (Netherlands), Atacama (Canada), Alation (US), Collibra (US), Dremio (US), Starburst (US), Nexla (US), NextData (Australia), Hevo Data (US), Atlan (US), CluedIn (Denmark), Iguazio (Israel) and Alex Solutions (Australia).

Research Coverage

The data mesh market research study involved extensive secondary sources, directories, journals, and paid databases. Primary sources were mainly industry experts from the core and related industries, preferred data mesh providers, third-party service providers, consulting service providers, end users, and other commercial enterprises. In-depth interviews were conducted with various primary respondents, including key industry participants and subject matter experts, to obtain and verify critical qualitative and quantitative information, and assess the market's prospects.

Key Benefits of Buying the Report

The report would provide the market leaders/new entrants in this market with information on the closest approximations of the revenue numbers for the overall data mesh market and its subsegments. It would help stakeholders understand the competitive landscape and gain more insights to position their business and plan suitable go-to-market strategies. It also helps stakeholders understand the pulse of the market and provides them with information on key market drivers, restraints, challenges, and opportunities.

The report provides insights on the following pointers:

TABLE OF CONTENTS

1 INTRODUCTION

2 RESEARCH METHODOLOGY

3 EXECUTIVE SUMMARY

4 PREMIUM INSIGHTS

5 MARKET OVERVIEW AND INDUSTRY TRENDS

6 DATA MESH MARKET, BY OFFERING

7 DATA MESH MARKET, BY APPROACH

8 DATA MESH MARKET, BY BUSINESS FUNCTION

9 DATA MESH MARKET, BY APPLICATION

10 DATA MESH MARKET, BY VERTICAL

11 DATA MESH MARKET, BY REGION

12 COMPETITIVE LANDSCAPE

13 COMPANY PROFILES

14 ADJACENT AND RELATED MARKETS

15 APPENDIX

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