Data Mesh Market

Report Code TC 8904
Published in Jan, 2024, By MarketsandMarkets™
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Data Mesh Market by Solutions (Data Integration & Delivery (ETL, Data Pipeline, Data Mapping and Transformation), Federated Data Governance (Metadata Management, Data Quality & Security), Data Operations, Data Transformation) - Global Forecast to 2028

Overview

The global data mesh market size was valued at USD 1.2 billion in 2023 and is expected to grow at a CAGR of 16.4% from 2023 to 2028. The revenue forecast for 2028 is projected to reach $2.5 billion. The base year for estimation is 2022, and the historical data spans from 2023 to 2028. Due to various business drivers, the data mesh market is expected to grow significantly during the forecast period. The market is experiencing significant growth due to the increasing need for data democratization and accessibility. increasing adoption of cloud native technologies, and maintaining robust governance and security and tailored data pipelines driving agility and innovation are also responsible for driving the market’s growth.

Attractive Opportunities in the Data Mesh market

ASIA PACIFIC:

The market growth in Asia Pacific can be attributed to the increasing need for data agility, scalability, and improved decision-making capabilities. Moreover, rising demand for data-driven decision-making in various industries bolster market growth in the region.

The increasing adoption of cloud-native technologies and maintaining robust governance and security to drive market growth. Data mesh encompasses domain-driven design, product-oriented strategies, and federated governance.

The North American data mesh market is projected to be valued at USD 0.8 billion by 2028, growing at a CAGR of 14.7% during the forecast period.

Partnerships, collaborations, and product launches would offer lucrative opportunities for market players in the next five years.

The growth of this market can be attributed to the increasing need for data democratization and accessibility coupled with the tailored data pipelines driving agility and innovation across the product life cycle development.

Global Data Mesh market Dynamics

Driver: Increasing need for data democratization and accessibility

The imperative for data democratization and accessibility stands as a pivotal driver in propelling the data mesh market forward. Within the framework of data mesh architecture, this need signifies a shift towards empowering various stakeholders across an organization with seamless access to relevant and reliable data. By democratizing data, organizations dismantle traditional silos, fostering a culture where diverse teams can autonomously access, understand, and leverage data pertinent to their roles and objectives. This democratized approach not only promotes greater collaboration but also accelerates decision-making processes by enabling quick access to real-time, contextualized data. Moreover, it engenders a culture of data ownership and responsibility among teams, fostering innovation and driving efficiencies. Data mesh strategies prioritize accessibility by encapsulating data into self-serve, manageable domains, ensuring that data is not only available but also comprehensible and usable for those who require it. This shift towards democratization and accessibility of data forms a foundational driver in the data mesh market, catering to the evolving needs of organizations striving for agility, informed decision-making, and innovation in a data-driven landscape.

Restraints: Addressing security and compliance conundrums

In the burgeoning landscape of the data mesh paradigm, the intricacies surrounding security and compliance pose as critical restraints, prompting a careful balancing act between innovation and safeguarding sensitive information. The distributed nature of data mesh, with its decentralized ownership of data domains, introduces a myriad of security challenges that demand meticulous attention. As data is fragmented across various domains and owned by different teams within the organization, ensuring consistent security measures and compliance standards becomes increasingly complex. This fragmentation inherently heightens the risk of data breaches, unauthorized access, and inconsistent application of security protocols across diverse datasets. Data mesh's emphasis on democratizing data and promoting autonomy at the domain level further exacerbates security concerns. Addressing these security and compliance conundrums demands comprehensive strategies encompassing robust encryption, access control mechanisms, consistent auditing, and monitoring practices across the data mesh architecture. Achieving this balance will be instrumental in realizing the full potential of data mesh while ensuring the protection and integrity of sensitive information within today's data-driven ecosystem.

 

Opportunity: Unlocking granular control for data governance

In the evolving landscape of data mesh architecture, the concept of federated computational governance emerges as a crucial opportunity, offering a paradigm shift in how organizations manage and govern their distributed data. This approach represents a decentralized model where governance is not centralized but distributed across various data domains and domains of expertise within an organization. Federated computational governance is a framework that facilitates collaboration and decision-making while ensuring compliance, security, and quality across interconnected data domains. Within this context, federated computational governance enables the establishment of federated data ownership, where domain-specific experts, rather than a central governing body, are responsible for ensuring the quality, security, and privacy of their data. This distributed ownership fosters a sense of accountability and ownership among data stewards and domain experts, aligning governance practices more closely with the nuances and intricacies of each data domain. Furthermore, this framework integrates metadata management and data cataloging across domains, facilitating the discovery and understanding of data assets while ensuring consistent metadata standards and governance policies. This decentralized governance model encourages the rapid prototyping of new ideas, promotes data-driven decision-making, and facilitates the exploration of novel data use cases without compromising compliance and security standards. Therefore, increasing adoption of federated computational governance is anticipated to provide growth opportunities for the data mesh market.

Challenge: Bridging the gap between data silos

Data silos, entrenched repositories of information isolated within different departments or systems, present a significant hurdle to achieving the interconnectedness and agility sought after in modern data ecosystems. These silos often result from legacy infrastructures, varied data formats, incompatible technologies, or departmentalized data ownership within organizations. The challenge lies not only in breaking down these barriers but also in harmonizing disparate data sources without compromising their autonomy or integrity. In the context of data mesh architecture, the challenge intensifies due to the decentralized nature of data ownership and management. Each domain or team in a data mesh operates independently, managing its data domain with its own rules, formats, and governance protocols. This decentralization, while empowering individual units, can exacerbate the problem of data silos. It's essential to establish a framework that encourages collaboration and interoperability without compromising the autonomy of these domains. The intricacies of bridging data silos within a data mesh framework require innovative approaches. Companies venturing into the data mesh market face the task of implementing technologies and methodologies that facilitate seamless data exchange and integration while respecting the sovereignty of each data domain. This demands robust data governance frameworks, standardized protocols, and interoperable tools that enable data discovery, access, and sharing across domains. Additionally, fostering a culture of collaboration and alignment with overarching business objectives becomes crucial to break down silos effectively. Addressing this challenge not only requires technological advancements but companies also need to invest in change management strategies, fostering a culture that prioritizes data democratization while ensuring compliance with security and privacy standards.

Global Data Mesh market Ecosystem Analysis

By approach, the Fine-grained segment to register the highest CAGR during the forecast period. The data mesh market by approach includes fine-grained mesh, hybrid federated mesh, value chain-aligned mesh, and coarse-grained mesh. The fine-grained mesh segment within the broader context of data mesh is witnessing notable growth driven by several pivotal factors. This specialized niche within data mesh focuses on intricate, granular data management, catering to the evolving needs of organizations for precise and detailed data control. The surge in data complexity and diversity, coupled with the need for more targeted data handling at micro-levels, has propelled the demand for fine-grained mesh solutions.

By vertical, healthcare and life sciences register the highest CAGR during the forecast period.

The healthcare and life sciences segment is projected to grow more during the forecast period. The increasing volumes of healthcare data, including patient records, genomic information, and research data, necessitate innovative approaches like data mesh. The decentralized nature of data mesh aligns with the diverse and specialized domains within healthcare and life sciences, enabling better integration and analysis across different data sources. Additionally, the emphasis on interoperability and data sharing among healthcare institutions and research entities is driving the adoption of data mesh frameworks. Furthermore, the growing importance of personalized medicine and precision healthcare relies heavily on comprehensive, domain-specific data insights, making data mesh an appealing solution.

By business function, the HR segment to register highest CAGR during the forecast period.

The data mesh is reshaping the landscape of HR business functions, experiencing notable growth due to several influential factors. The increasing focus on employee-centric strategies demands a more personalized understanding of workforce data, driving the adoption of data mesh frameworks. HR departments are leveraging these frameworks to handle the complexity of diverse data sources, spanning employee engagement metrics, performance data, skills inventory, and more. Moreover, the rising prominence of AI and analytics in HR functions requires a holistic and domain-oriented data approach, aligning well with the core ethos of data mesh.

NORTH AMERICA Region Holds the Largest Share of the Data Mesh market

North America is experiencing significant technological growth in the data mesh market. Companies in this region are increasingly embracing the data mesh paradigm, recognizing its potential to address complex data challenges. One notable trend is the rise of specialized tools and platforms catering specifically to data mesh principles. These solutions aim to facilitate decentralized data architectures, enabling seamless integration, governance, and accessibility across diverse domains and teams.

Recent Developments of Data Mesh market industry

  • In December 2023, IBM Cloud Pak for Data team announced the general availability of Cloud Pak for Data (CPD) version 4.8. The release includes an array of features tied together with an emphasis around serviceability enhanced the management and maintenance of CPD Platform and services. These serviceability improvements provide more information about the platform to proactively ensure a stable environment for CPD production workloads. In September 2023, Oracle and Microsoft have announced Oracle Database at Azure, which gives customers direct access to Oracle database services running on Oracle Cloud Infrastructure (OCI) and deployed in Microsoft Azure datacenters. In June 2023, Informatica announced the availability of the company’s leading end-to-end AI-powered data management platform Intelligent Data Management Cloud (IDMC) in AWS Asia Pacific (Tokyo) region to support customers in their data-led cloud modernization journey.
  • In April 2023, Siemens and IBM announced to expand their long-term partnership by collaborating to develop a combined software solution. The new software solution integrate their respective offerings for systems engineering, service lifecycle management and asset management. In March 2023, SAP announced SAP Datasphere, a comprehensive data service built on SAP Business Technology Platform (SAP BTP) that enables every data professional to deliver seamless and scalable access to mission-critical business data. State-of-the-art data flow capabilities allow organizations to automatically generate pipelines at enterprise scale. We also enriched the business semantic layer with advanced modeling capabilities.

Key Market Players

KEY 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)
  • Ataccama (Canada)
  • Alation (US)
  • Collibra (US)
  • Dremio (US)
  • Starburst (US)
  • Nexla (US)
  • NextData (Australia)
  • Hevo Data (US)
  • Atlan (US)
  • CluedIn (Denmark)
  • Iguazio (Israel)
  • Alex Solutions (Australia)

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Scope of the Report

Report Attribute Details
Market size available for years 2019–2028
Base year considered 2022
Forecast period 2023–2028
Forecast units USD (Billion)
Segments Covered Offering, Approach, Business Function,  Application, Vertical, and Region
Geographies covered North America, Asia Pacific, Europe, Middle East & Africa, and Latin America
Companies covered 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).

 

Key Questions Addressed by the Report

What is Data Mesh?
Data mesh embodies a solution architecture centered around crafting business-centric data products, acknowledging the pervasive presence of data. It strongly advocates for centralizing data in product design, urging data product or domain owners to establish upfront data product requisites. This proactive approach aids organizations in constructing self-service data platforms tailored to specific domains, expediting the pace of data delivery.
What is the total CAGR expected to be recorded for the Data Mesh market during forecast period?
The market is expected to record a CAGR of 16.4% during the forecast period.
Which are the key drivers supporting the growth of the Data Mesh market?
Some factors driving the growth of the data mesh market are increasing need for data democratization and accessibility, tailored data pipelines driving agility and innovation, increasing adoption of cloud native technologies, and maintaining robust governance and security.
Which are the key business functions prevailing in the Data Mesh market?
The key business functions gaining a foothold in the data mesh market are finance & accounting, sales & marketing, research & development, operations & supply chain, HR and ITSM.
Who are the key vendors in the Data Mesh market?
Some 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), Ataccama (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).

 

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Table Of Contents

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TITLE
PAGE NO
INTRODUCTION
29
RESEARCH METHODOLOGY
34
EXECUTIVE SUMMARY
47
PREMIUM INSIGHTS
55
MARKET OVERVIEW AND INDUSTRY TRENDS
58
  • 5.1 INTRODUCTION
  • 5.2 MARKET DYNAMICS
    DRIVERS
    - Tailored data pipelines driving agility and innovation
    - Increasing need for data democratization and accessibility
    - Increasing adoption of cloud-native technologies
    - Maintaining robust governance and security
    RESTRAINTS
    - Addressing security and compliance conundrums
    OPPORTUNITIES
    - Data mesh revolutionizing financial services
    - Unlocking granular control for data governance
    CHALLENGES
    - Bridging gap between data silos
    - Maintaining high-quality data in decentralized systems
  • 5.3 EVOLUTION OF DATA MESH MARKET
  • 5.4 DATA MESH MARKET: ARCHITECTURE
  • 5.5 VALUE CHAIN ANALYSIS
  • 5.6 ECOSYSTEM/MARKET MAP
    DATA MESH MARKET: PLATFORM PROVIDERS
    MARKET: SOFTWARE PROVIDERS
    MARKET: SERVICE PROVIDERS
    MARKET: CLOUD PROVIDERS
    MARKET: END USERS
    DATA MESH MARKET: REGULATORY BODIES
  • 5.7 CASE STUDY ANALYSIS
    HEVO EMPOWERED EBURY TO BUILD RELIABLE DATA PRODUCTS AND ENABLE FASTER DECISION-MAKING
    IMPLEMENTATION OF STARBURST FACILITATED SEAMLESS SCALABILITY FOR BANK HAPOALIM
    FACTSET MODERNIZED APPLICATIONS WITH DREMIO, ACCELERATING DATA ACCESS AND ELIMINATING COMPLEXITY
    HUNGARY’S OTP BANK USED DREMIO TO GAIN INSIGHTS INTO CUSTOMER NEEDS AND INCREASE VISIBILITY
    NOVANT HEALTH DEPLOYED STARBURST PLATFORM TO ACHIEVE FAST PERFORMANCE, TIMELY ACCESS, AND ENGINEERING SUPPORT
    REDCLIFFE LABS OPTIMIZED ITS CUSTOMER JOURNEY WITH MILITARY-LEVEL PRECISION USING HEVO DATA
    COLLIBRA HELPED ENVISION HEALTHCARE AND ITS PATIENTS TACKLE INSURANCE CLAIM ISSUES
    ATACCAMA’S SOLUTION HELPED T-MOBILE ACHIEVE SIGNIFICANT BENEFITS
    HEINEKEN DEPLOYED COLLIBRA DATA INTELLIGENCE PLATFORM FOR DATA INTEGRATION, CONSOLIDATION, AND ANALYSIS
    ADOBE STRENGTHENED ITS DATA CULTURE BY MOVING METRIC DEFINITIONS FROM COLLIBRA TO MYSQL DATABASE
    HORNBLOWER ACHIEVED EFFICIENCY USING HEVO DATA
    DREMIO’S DATA LAKE ENGINE ACCELERATED INSIGHTS AND DROVE EFFICIENCY IN HENKEL’S SUPPLY CHAIN
  • 5.8 TECHNOLOGY ANALYSIS
    KEY TECHNOLOGIES
    - Data lakes and warehouses
    - Cloud computing
    - AI/ML
    - Big data and analytics
    ADJACENT TECHNOLOGIES
    - Augmented Reality (AR) and Virtual Reality (VR)
    - DevOps
    - Continuous Integration (CI)/Continuous Delivery (CD) pipelines
    - Digital Twins
  • 5.9 TARIFF AND REGULATORY LANDSCAPE
    TARIFF RELATED TO DATA MESH SOFTWARE
    REGULATORY LANDSCAPE
    - Regulatory bodies, government agencies, and other organizations
    DATA MESH MARKET: REGULATIONS
    - North America
    - Europe
    - Asia Pacific
    - Middle East & Africa
    - Latin America
  • 5.10 PATENT ANALYSIS
    METHODOLOGY
    PATENTS FILED, BY DOCUMENT TYPE
    INNOVATION AND PATENT APPLICATIONS
    - Top 10 applicants in data mesh market
  • 5.11 PRICING ANALYSIS
    AVERAGE SELLING PRICE TREND OF KEY PLAYERS, BY SOFTWARE TYPE
    INDICATIVE PRICING ANALYSIS, BY DATA MESH VENDOR
  • 5.12 DATA MESH METHODS
    QUERY-DRIVEN APPROACH
    EVENT-DRIVEN APPROACH
    FILE-BASED APPROACH
  • 5.13 KEY CONFERENCES AND EVENTS
  • 5.14 PORTER’S FIVE FORCES ANALYSIS
    DATA MESH MARKET
    - Threat of new entrants
    - Threat of substitutes
    - Bargaining power of suppliers
    - Bargaining power of buyers
    - Intensity of competitive rivalry
  • 5.15 DATA MESH TECHNOLOGY ROADMAP
  • 5.16 DATA MESH BUSINESS MODELS
    DATA PRODUCT MODEL
    DATA MARKETPLACE MODEL
    DATA BROKERAGE MODEL
    DATA UTILITY MODEL
    DATA ECOSYSTEM MODEL
  • 5.17 TRENDS/DISRUPTIONS IMPACTING CUSTOMERS’ BUSINESSES
  • 5.18 KEY STAKEHOLDERS & BUYING CRITERIA
    KEY STAKEHOLDERS IN BUYING PROCESS
    BUYING CRITERIA
DATA MESH MARKET, BY OFFERING
110
  • 6.1 INTRODUCTION
    OFFERINGS: DATA MESH MARKET DRIVERS
  • 6.2 SOLUTIONS
    DATA INTEGRATION & DELIVERY
    - Data integration & delivery solutions to emphasize interoperability and compatibility
    FEDERATED DATA GOVERNANCE
    - Federated data governance solutions to ensure compliance with regulatory standards without impeding agility
    DATA OPERATIONS
    - Advancements in self-service data infrastructure platforms to boost demand for data operations solutions
    DATA TRANSFORMATION
    - CRM solutions to centralize property-related data and facilitate task automation
    OTHER SOLUTIONS
  • 6.3 DEPLOYMENT MODE
    CLOUD
    - Cloud deployment to offer accessibility to shared resources and cost-effective scalability
    ON-PREMISES
    - On-premises deployment landscape to enable data processing closer to its source, enhancing speed and reducing latency
  • 6.4 SERVICES
    PROFESSIONAL SERVICES
    - Consulting & implementation
    - Support & maintenance
    - Training & education
    - Advisory & strategy
    - Implementation & deployment
    - Governance & security
    MANAGED SERVICES
DATA MESH MARKET, BY APPROACH
137
  • 7.1 INTRODUCTION
    APPROACHES: DATA MESH MARKET DRIVERS
    FINE-GRAINED MESH
    - Fine-grained mesh approach to enable seamless integration and collaboration across diverse domains
    HYBRID FEDERATED MESH
    - Hybrid federated topology to offer scalability, flexibility, and interoperability essential for harnessing data-driven insights
    VALUE-CHAIN-ALIGNED MESH
    - Strategical data management across value chain stages to improve service delivery, cost optimization, and customer satisfaction
    COARSE-GRAINED MESH
    - Coarse-grained mesh topology to empower domain experts while ensuring data quality and integrity
DATA MESH MARKET, BY BUSINESS FUNCTION
145
  • 8.1 INTRODUCTION
    BUSINESS FUNCTIONS: DATA MESH MARKET DRIVERS
    SALES & MARKETING
    - Sales & marketing strategies to incorporate insights into evolving demands, competitive landscape, and customer preferences
    FINANCE & ACCOUNTING
    - Data mesh solutions to ensure greater accuracy and consistency in financial reporting
    RESEARCH & DEVELOPMENT
    - Specialized algorithms and AI-driven solutions to aid in quality assurance, secure data sharing, and seamless integration across domains
    OPERATIONS & SUPPLY CHAIN
    - Decentralization to enhance collaboration and efficiency throughout supply chain
    HR
    - Data mesh principles to promote collaboration of HR insights across organizations and ensure data security
    ITSM
    - ITSM solutions to ensure seamless integration, maintenance, and optimization of data mesh architectures across organizations
DATA MESH MARKET, BY APPLICATION
154
  • 9.1 INTRODUCTION
    APPLICATIONS: DATA MESH MARKET DRIVERS
    CUSTOMER EXPERIENCE MANAGEMENT
    - Data mesh to extract actionable insights from vast troves of customer data
    DATA PRIVACY MANAGEMENT
    - Data mesh solutions to enable domain-specific control and ensure compliance
    CHATBOTS/VIRTUAL ASSISTANTS
    - Data mesh to enable chatbots and virtual assistants offer intelligent, context-aware, and user-centric interactions
    CAMPAIGN MANAGEMENT
    - Data mesh-driven campaign management applications to facilitate tailored and targeted campaigns
    IOT MONITORING
    - Data mesh to offer better scalability and flexibility in managing and processing real-time data streams
    ACCESS CONTROL
    - Data mesh solutions to enable access to products through self-service portals, streamlining processes and reducing reliance on central teams
    OTHER APPLICATIONS
DATA MESH MARKET, BY VERTICAL
164
  • 10.1 INTRODUCTION
    VERTICALS: DATA MESH MARKET DRIVERS
  • 10.2 BFSI
    DATA MESH IMPLEMENTATION TO ENSURE SELF-SERVICE ACCESS AND OWNERSHIP OF DATA, ENABLING FASTER DECISION-MAKING AND INNOVATION
  • 10.3 TELECOM
    DATA MESH TO ENABLE FASTER DECISION-MAKING AND INNOVATION
  • 10.4 RETAIL & ECOMMERCE
    DATA MESH SOLUTIONS TO OFFER AGILITY, REAL-TIME INSIGHTS, AND IMPROVED CUSTOMER ENGAGEMENT
  • 10.5 HEALTHCARE & LIFE SCIENCES
    DATA MESH SOLUTIONS TO STREAMLINE ADMINISTRATIVE PROCESSES, OPTIMIZE RESOURCE ALLOCATION, AND REDUCE HEALTHCARE COSTS
  • 10.6 IT/ITES
    DATA MESH TO EMPOWER IT TEAMS WITH SELF-SERVICE ACCESS, REAL-TIME ANALYTICS, AND FASTER SERVICE DELIVERY
  • 10.7 MANUFACTURING
    DATA MESH TO OFFER DECENTRALIZED DATA OWNERSHIP, SELF-SERVICE ANALYTICS, AND REAL-TIME INSIGHTS
  • 10.8 GOVERNMENT & PUBLIC SECTOR
    DATA MESH TO FACILITATE DATA ANALYSIS, TAILORED SERVICES, AND PERSONALIZED EXPERIENCES
  • 10.9 TRANSPORTATION & LOGISTICS
    DATA MESH SOLUTIONS TO FACILITATE IMMEDIATE DECISION-MAKING, ROUTE OPTIMIZATION, PREDICTIVE MAINTENANCE
  • 10.10 OTHER VERTICALS
DATA MESH MARKET, BY REGION
177
  • 11.1 INTRODUCTION
  • 11.2 NORTH AMERICA
    NORTH AMERICA: DATA MESH MARKET DRIVERS
    NORTH AMERICA: RECESSION IMPACT
    US
    - Increasing adoption of cloud computing and advanced analytics solutions among US enterprises to drive market
    CANADA
    - Government initiatives promoting digital transformation and investments in advanced analytics solutions to propel market growth
  • 11.3 EUROPE
    EUROPE: DATA MESH MARKET DRIVERS
    EUROPE: RECESSION IMPACT
    UK
    - Increasing focus on innovation and technology adoption to accelerate demand for data mesh solutions
    GERMANY
    - Engineering prowess and industrial innovation to boost market
    FRANCE
    - Growing focus on interoperability and standardization to accelerate market growth
    SPAIN
    - Increasing digital transformation in various industries to boost data mesh adoption
    ITALY
    - Burgeoning startup culture and digital innovation to fuel market growth
    REST OF EUROPE
  • 11.4 ASIA PACIFIC
    ASIA PACIFIC: DATA MESH MARKET DRIVERS
    ASIA PACIFIC: RECESSION IMPACT
    CHINA
    - Emphasis on AI development coupled with data privacy regulations to drive market
    JAPAN
    - Growing emphasis on data integrity and trustworthiness to drive innovation in data governance
    INDIA
    - Proliferation of mobile technology and rising demand for analytics-driven insights across various sectors to boost market
    SOUTH KOREA
    - Widespread digitalization across all industries to fuel demand for data mesh solutions
    ANZ
    - Strong commitment to innovation and digital transformation to propel adoption of data mesh frameworks
    ASEAN COUNTRIES
    - Robust technological infrastructure and thriving digital ecosystem to accelerate market growth
    REST OF ASIA PACIFIC
  • 11.5 MIDDLE EAST & AFRICA
    MIDDLE EAST & AFRICA: RECESSION IMPACT
    MIDDLE EAST & AFRICA: DATA MESH MARKET DRIVERS
    GCC
    - Robust infrastructure development and government initiatives to accelerate market growth
    SOUTH AFRICA
    - Increasing emphasis on leveraging data for innovation and economic development to propel market growth
    EGYPT
    - Burgeoning startup ecosystem and government initiatives to drive market
    TURKEY
    - Burgeoning tech-savvy population and international partnerships to drive market
    REST OF MIDDLE EAST
  • 11.6 LATIN AMERICA
    LATIN AMERICA: RECESSION IMPACT
    LATIN AMERICA: DATA MESH MARKET DRIVERS
    BRAZIL
    - Proliferation of tech startups coupled with government initiatives for digital transformation to bolster market growth
    MEXICO
    - Shift toward data privacy and security measures to fuel market growth
    ARGENTINA
    - Integration of machine learning algorithms and predictive analytics into decentralized data architectures to boost market
    REST OF LATIN AMERICA
COMPETITIVE LANDSCAPE
225
  • 12.1 OVERVIEW
  • 12.2 KEY PLAYER STRATEGIES
  • 12.3 REVENUE ANALYSIS
    BUSINESS SEGMENT REVENUE ANALYSIS FOR KEY PLAYERS
  • 12.4 MARKET SHARE ANALYSIS
  • 12.5 VALUATION AND FINANCIAL METRICS OF KEY DATA MESH VENDORS
  • 12.6 YTD PRICE TOTAL RETURN AND 5-YEAR STOCK BETA OF KEY VENDORS
  • 12.7 BRAND/PRODUCT COMPARATIVE ANALYSIS
  • 12.8 COMPANY EVALUATION MATRIX
    STARS
    EMERGING LEADERS
    PERVASIVE PLAYERS
    PARTICIPANTS
    COMPANY FOOTPRINT
  • 12.9 START-UP/SME EVALUATION MATRIX
    PROGRESSIVE COMPANIES
    RESPONSIVE COMPANIES
    DYNAMIC COMPANIES
    STARTING BLOCKS
    COMPETITIVE BENCHMARKING
  • 12.10 COMPETITIVE SCENARIO AND TRENDS
    PRODUCT LAUNCHES AND ENHANCEMENTS
    DEALS
    OTHERS
COMPANY PROFILES
253
  • 13.1 INTRODUCTION
  • 13.2 KEY PLAYERS
    IBM
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    - MnM view
    SAP
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    - MnM view
    ORACLE
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    - MnM view
    INFORMATICA
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    - MnM view
    AWS
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    - MnM view
    NETAPP
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    TERADATA
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    K2VIEW
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    TALEND
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    DENODO
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
  • 13.3 OTHER PLAYERS
    GOOGLE
    MICROSOFT
    HPE
    SNOWFLAKE
    RADIANT LOGIC
    GLOBAL IDS
    ESTUARY
    DATAKITCHEN
    DATABRICKS
    CINCHY
    INTENDA
    ATACCAMA
    ALATION
    COLLIBRA
  • 13.4 STARTUPS/SMES
    DREMIO
    STARBURST
    NEXLA
    NEXTDATA
    HEVO DATA
    ATLAN
    CLUEDIN
    STARDOG
    ALEX SOLUTIONS
    MONTE CARLO
ADJACENT AND RELATED MARKETS
316
  • 14.1 INTRODUCTION
  • 14.2 DATA FABRIC MARKET
    MARKET DEFINITION
    MARKET OVERVIEW
    - Data fabric market, by component
    - Data fabric market, by type
    - Data fabric market, by organization size
    - Data fabric market, by deployment mode
    - Data fabric market, by application
    - Data fabric market, by vertical
    - Data fabric market, by region
  • 14.3 DATA CATALOG MARKET
    MARKET DEFINITION
    MARKET OVERVIEW
    - Data catalog market, by component
    - Data catalog market, by deployment mode
    - Data catalog market, by data consumer
    - Data catalog market, by metadata type
    - Data catalog market, by organization size
    - Data catalog market, by vertical
    - Data catalog market, by region
APPENDIX
329
  • 15.1 DISCUSSION GUIDE
  • 15.2 KNOWLEDGESTORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL
  • 15.3 CUSTOMIZATION OPTIONS
  • 15.4 RELATED REPORTS
  • 15.5 AUTHOR DETAILS
LIST OF TABLES
 
  • TABLE 1 PRIMARY INTERVIEWS
  • TABLE 2 FACTOR ANALYSIS
  • TABLE 3 IMPACT OF RECESSION ON GLOBAL DATA MESH MARKET
  • TABLE 4 GLOBAL MARKET SIZE AND GROWTH RATE, 2019–2022 (USD MILLION, Y-O-Y %)
  • TABLE 5 GLOBAL MARKET SIZE AND GROWTH RATE, 2023–2028 (USD MILLION, Y-O-Y %)
  • TABLE 6 MARKET ECOSYSTEM
  • TABLE 7 TARIFF RELATED TO DATA MESH SOFTWARE, 2022
  • TABLE 8 NORTH AMERICA: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
  • TABLE 9 EUROPE: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
  • TABLE 10 ASIA PACIFIC: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
  • TABLE 11 MIDDLE EAST & AFRICA: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
  • TABLE 12 LATIN AMERICA: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
  • TABLE 13 PATENTS FILED, 2013–2023
  • TABLE 14 TOP 20 PATENT OWNERS IN MARKET, 2013–2023
  • TABLE 15 LIST OF PATENTS GRANTED IN MARKET, 2023
  • TABLE 16 AVERAGE SELLING PRICE TREND OF KEY PLAYERS, BY KEY SOFTWARE TYPE
  • TABLE 17 INDICATIVE PRICING LEVELS OF DATA MESH VENDORS
  • TABLE 18 DATA MESH MARKET: DETAILED LIST OF CONFERENCES AND EVENTS, 2023–2024
  • TABLE 19 PORTER’S FIVE FORCES’ IMPACT ON MARKET
  • TABLE 20 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP THREE APPLICATIONS
  • TABLE 21 KEY BUYING CRITERIA FOR TOP THREE APPLICATIONS
  • TABLE 22 MARKET, BY OFFERING, 2019–2022 (USD MILLION)
  • TABLE 23 MARKET, BY OFFERING, 2023–2028 (USD MILLION)
  • TABLE 24 MARKET, BY SOLUTION, 2019–2022 (USD MILLION)
  • TABLE 25 DATA MESH MARKET, BY SOLUTION, 2023–2028 (USD MILLION)
  • TABLE 26 SOLUTIONS: MARKET, BY REGION, 2019–2022 (USD MILLION)
  • TABLE 27 SOLUTIONS: MARKET, BY REGION, 2023–2028 (USD MILLION)
  • TABLE 28 DATA INTEGRATION & DELIVERY: MARKET, BY REGION, 2019–2022 (USD MILLION)
  • TABLE 29 DATA INTEGRATION & DELIVERY: MARKET, BY REGION, 2023–2028 (USD MILLION)
  • TABLE 30 FEDERATED DATA GOVERNANCE: MARKET, BY REGION, 2019–2022 (USD MILLION)
  • TABLE 31 FEDERATED DATA GOVERNANCE: MARKET, BY REGION, 2023–2028 (USD MILLION)
  • TABLE 32 DATA OPERATIONS: MARKET, BY REGION, 2019–2022 (USD MILLION)
  • TABLE 33 DATA OPERATIONS: MARKET, BY REGION, 2023–2028 (USD MILLION)
  • TABLE 34 DATA TRANSFORMATION: MARKET, BY REGION, 2019–2022 (USD MILLION)
  • TABLE 35 DATA TRANSFORMATION: DATA MESH MARKET, BY REGION, 2023–2028 (USD MILLION)
  • TABLE 36 OTHER SOLUTIONS: MARKET, BY REGION, 2019–2022 (USD MILLION)
  • TABLE 37 OTHER SOLUTIONS: MARKET, BY REGION, 2023–2028 (USD MILLION)
  • TABLE 38 DATA MESH SOLUTIONS MARKET, BY DEPLOYMENT MODE, 2019–2022 (USD MILLION)
  • TABLE 39 DATA MESH SOLUTIONS MARKET, BY DEPLOYMENT MODE, 2023–2028 (USD MILLION)
  • TABLE 40 CLOUD: DATA MESH SOLUTIONS MARKET, BY REGION, 2019–2022 (USD MILLION)
  • TABLE 41 CLOUD: DATA MESH SOLUTIONS MARKET, BY REGION, 2023–2028 (USD MILLION)
  • TABLE 42 ON-PREMISES: DATA MESH SOLUTIONS MARKET, BY REGION, 2019–2022 (USD MILLION)
  • TABLE 43 ON-PREMISES: DATA MESH SOLUTIONS MARKET, BY REGION, 2023–2028 (USD MILLION)
  • TABLE 44 MARKET, BY SERVICE, 2019–2022 (USD MILLION)
  • TABLE 45 DATA MESH MARKET, BY SERVICE, 2023–2028 (USD MILLION)
  • TABLE 46 SERVICES: MARKET, BY REGION, 2019–2022 (USD MILLION)
  • TABLE 47 SERVICES: MARKET, BY REGION, 2023–2028 (USD MILLION)
  • TABLE 48 MARKET, BY PROFESSIONAL SERVICE, 2019–2022 (USD MILLION)
  • TABLE 49 MARKET, BY PROFESSIONAL SERVICE, 2023–2028 (USD MILLION)
  • TABLE 50 PROFESSIONAL SERVICES: MARKET, BY REGION, 2019–2022 (USD MILLION)
  • TABLE 51 PROFESSIONAL SERVICES: MARKET, BY REGION, 2023–2028 (USD MILLION)
  • TABLE 52 CONSULTING & IMPLEMENTATION: MARKET, BY REGION, 2019–2022 (USD MILLION)
  • TABLE 53 CONSULTING & IMPLEMENTATION: MARKET, BY REGION, 2023–2028 (USD MILLION)
  • TABLE 54 SUPPORT & MAINTENANCE: MARKET, BY REGION, 2019–2022 (USD MILLION)
  • TABLE 55 SUPPORT & MAINTENANCE: MARKET, BY REGION, 2023–2028 (USD MILLION)
  • TABLE 56 TRAINING & EDUCATION: DATA MESH MARKET, BY REGION, 2019–2022 (USD MILLION)
  • TABLE 57 TRAINING & EDUCATION: MARKET, BY REGION, 2023–2028 (USD MILLION)
  • TABLE 58 ADVISORY & STRATEGY: MARKET, BY REGION, 2019–2022 (USD MILLION)
  • TABLE 59 ADVISORY & STRATEGY: MARKET, BY REGION, 2023–2028 (USD MILLION)
  • TABLE 60 IMPLEMENTATION & DEPLOYMENT: MARKET, BY REGION, 2019–2022 (USD MILLION)
  • TABLE 61 IMPLEMENTATION & DEPLOYMENT: MARKET, BY REGION, 2023–2028 (USD MILLION)
  • TABLE 62 GOVERNANCE & SECURITY: MARKET, BY REGION, 2019–2022 (USD MILLION)
  • TABLE 63 GOVERNANCE & SECURITY: MARKET, BY REGION, 2023–2028 (USD MILLION)
  • TABLE 64 MANAGED SERVICES: MARKET, BY REGION, 2019–2022 (USD MILLION)
  • TABLE 65 MANAGED SERVICES: MARKET, BY REGION, 2023–2028 (USD MILLION)
  • TABLE 66 MARKET, BY APPROACH, 2019–2022 (USD MILLION)
  • TABLE 67 MARKET, BY APPROACH, 2023–2028 (USD MILLION)
  • TABLE 68 FINE-GRAINED MESH: MARKET, BY REGION, 2019–2022 (USD MILLION)
  • TABLE 69 FINE-GRAINED MESH: MARKET, BY REGION, 2023–2028 (USD MILLION)
  • TABLE 70 HYBRID FEDERATED MESH: DATA MESH MARKET, BY REGION, 2019–2022 (USD MILLION)
  • TABLE 71 HYBRID FEDERATED MESH: MARKET, BY REGION, 2023–2028 (USD MILLION)
  • TABLE 72 VALUE-CHAIN-ALIGNED MESH: MARKET, BY REGION, 2019–2022 (USD MILLION)
  • TABLE 73 VALUE-CHAIN-ALIGNED MESH: MARKET, BY REGION, 2023–2028 (USD MILLION)
  • TABLE 74 COARSE-GRAINED MESH: MARKET, BY REGION, 2019–2022 (USD MILLION)
  • TABLE 75 COARSE-GRAINED MESH: MARKET, BY REGION, 2023–2028 (USD MILLION)
  • TABLE 76 MARKET, BY BUSINESS FUNCTION, 2019–2022 (USD MILLION)
  • TABLE 77 MARKET, BY BUSINESS FUNCTION, 2023–2028 (USD MILLION)
  • TABLE 78 SALES & MARKETING: MARKET, BY REGION, 2019–2022 (USD MILLION)
  • TABLE 79 SALES & MARKETING: MARKET, BY REGION, 2023–2028 (USD MILLION)
  • TABLE 80 FINANCE & ACCOUNTING: MARKET, BY REGION, 2019–2022 (USD MILLION)
  • TABLE 81 FINANCE & ACCOUNTING: MARKET, BY REGION, 2023–2028 (USD MILLION)
  • TABLE 82 RESEARCH & DEVELOPMENT: MARKET, BY REGION, 2019–2022 (USD MILLION)
  • TABLE 83 RESEARCH & DEVELOPMENT: DATA MESH MARKET, BY REGION, 2023–2028 (USD MILLION)
  • TABLE 84 OPERATIONS & SUPPLY CHAIN: MARKET, BY REGION, 2019–2022 (USD MILLION)
  • TABLE 85 OPERATIONS & SUPPLY CHAIN: MARKET, BY REGION, 2023–2028 (USD MILLION)
  • TABLE 86 HR: MARKET, BY REGION, 2019–2022 (USD MILLION)
  • TABLE 87 HR: MARKET, BY REGION, 2023–2028 (USD MILLION)
  • TABLE 88 ITSM: MARKET, BY REGION, 2019–2022 (USD MILLION)
  • TABLE 89 ITSM: MARKET, BY REGION, 2023–2028 (USD MILLION)
  • TABLE 90 MARKET, BY APPLICATION, 2019–2022 (USD MILLION)
  • TABLE 91 DATA MESH MARKET, BY APPLICATION, 2023–2028 (USD MILLION)
  • TABLE 92 CUSTOMER EXPERIENCE MANAGEMENT: MARKET, BY REGION, 2019–2022 (USD MILLION)
  • TABLE 93 CUSTOMER EXPERIENCE MANAGEMENT: MARKET, BY REGION, 2023–2028 (USD MILLION)
  • TABLE 94 DATA PRIVACY MANAGEMENT: MARKET, BY REGION, 2019–2022 (USD MILLION)
  • TABLE 95 DATA PRIVACY MANAGEMENT: MARKET, BY REGION, 2023–2028 (USD MILLION)
  • TABLE 96 CHATBOTS/VIRTUAL ASSISTANTS: MARKET, BY REGION, 2019–2022 (USD MILLION)
  • TABLE 97 CHATBOTS/VIRTUAL ASSISTANTS: MARKET, BY REGION, 2023–2028 (USD MILLION)
  • TABLE 98 CAMPAIGN MANAGEMENT: MARKET, BY REGION, 2019–2022 (USD MILLION)
  • TABLE 99 CAMPAIGN MANAGEMENT: MARKET, BY REGION, 2023–2028 (USD MILLION)
  • TABLE 100 IOT MONITORING: MARKET, BY REGION, 2019–2022 (USD MILLION)
  • TABLE 101 IOT MONITORING: MARKET, BY REGION, 2023–2028 (USD MILLION)
  • TABLE 102 ACCESS CONTROL: MARKET, BY REGION, 2019–2022 (USD MILLION)
  • TABLE 103 ACCESS CONTROL: DATA MESH MARKET, BY REGION, 2023–2028 (USD MILLION)
  • TABLE 104 OTHER APPLICATIONS: MARKET, BY REGION, 2019–2022 (USD MILLION)
  • TABLE 105 OTHER APPLICATIONS: MARKET, BY REGION, 2023–2028 (USD MILLION)
  • TABLE 106 MARKET, BY VERTICAL, 2019–2022 (USD MILLION)
  • TABLE 107 MARKET, BY VERTICAL, 2023–2028 (USD MILLION)
  • TABLE 108 BFSI: MARKET, BY REGION, 2019–2022 (USD MILLION)
  • TABLE 109 BFSI: MARKET, BY REGION, 2023–2028 (USD MILLION)
  • TABLE 110 TELECOM: MARKET, BY REGION, 2019–2022 (USD MILLION)
  • TABLE 111 TELECOM: MARKET, BY REGION, 2023–2028 (USD MILLION)
  • TABLE 112 RETAIL & ECOMMERCE: MARKET, BY REGION, 2019–2022 (USD MILLION)
  • TABLE 113 RETAIL & ECOMMERCE: MARKET, BY REGION, 2023–2028 (USD MILLION)
  • TABLE 114 HEALTHCARE & LIFE SCIENCES: MARKET, BY REGION, 2019–2022 (USD MILLION)
  • TABLE 115 HEALTHCARE & LIFE SCIENCES: MARKET, BY REGION, 2023–2028 (USD MILLION)
  • TABLE 116 IT/ITES: MARKET, BY REGION, 2019–2022 (USD MILLION)
  • TABLE 117 IT/ITES: DATA MESH MARKET, BY REGION, 2023–2028 (USD MILLION)
  • TABLE 118 MANUFACTURING: MARKET, BY REGION, 2019–2022 (USD MILLION)
  • TABLE 119 MANUFACTURING: MARKET, BY REGION, 2023–2028 (USD MILLION)
  • TABLE 120 GOVERNMENT & PUBLIC SECTOR: MARKET, BY REGION, 2019–2022 (USD MILLION)
  • TABLE 121 GOVERNMENT & PUBLIC SECTOR: MARKET, BY REGION, 2023–2028 (USD MILLION)
  • TABLE 122 TRANSPORTATION & LOGISTICS: MARKET, BY REGION, 2019–2022 (USD MILLION)
  • TABLE 123 TRANSPORTATION & LOGISTICS: MARKET, BY REGION, 2023–2028 (USD MILLION)
  • TABLE 124 OTHER VERTICALS: MARKET, BY REGION, 2019–2022 (USD MILLION)
  • TABLE 125 OTHER VERTICALS: MARKET, BY REGION, 2023–2028 (USD MILLION)
  • TABLE 126 MARKET, BY REGION, 2019–2022 (USD MILLION)
  • TABLE 127 MARKET, BY REGION, 2023–2028 (USD MILLION)
  • TABLE 128 NORTH AMERICA: DATA MESH MARKET, BY OFFERING, 2019–2022 (USD MILLION)
  • TABLE 129 NORTH AMERICA: MARKET, BY OFFERING, 2023–2028 (USD MILLION)
  • TABLE 130 NORTH AMERICA: MARKET, BY SOLUTION, 2019–2022 (USD MILLION)
  • TABLE 131 NORTH AMERICA: MARKET, BY SOLUTION, 2023–2028 (USD MILLION)
  • TABLE 132 NORTH AMERICA: MARKET, BY SERVICE, 2019–2022 (USD MILLION)
  • TABLE 133 NORTH AMERICA: MARKET, BY SERVICE, 2023–2028 (USD MILLION)
  • TABLE 134 NORTH AMERICA: MARKET, BY PROFESSIONAL SERVICE, 2019–2022 (USD MILLION)
  • TABLE 135 NORTH AMERICA: MARKET, BY PROFESSIONAL SERVICE, 2023–2028 (USD MILLION)
  • TABLE 136 NORTH AMERICA: DATA MESH SOLUTIONS MARKET, BY DEPLOYMENT MODE, 2019–2022 (USD MILLION)
  • TABLE 137 NORTH AMERICA: DATA MESH SOLUTIONS MARKET, BY DEPLOYMENT MODE, 2023–2028 (USD MILLION)
  • TABLE 138 NORTH AMERICA: MARKET, BY APPROACH, 2019–2022 (USD MILLION)
  • TABLE 139 NORTH AMERICA: MARKET, BY APPROACH, 2023–2028 (USD MILLION)
  • TABLE 140 NORTH AMERICA: MARKET, BY APPLICATION, 2019–2022 (USD MILLION)
  • TABLE 141 NORTH AMERICA: MARKET, BY APPLICATION, 2023–2028 (USD MILLION)
  • TABLE 142 NORTH AMERICA: MARKET, BY BUSINESS FUNCTION, 2019–2022 (USD MILLION)
  • TABLE 143 NORTH AMERICA: MARKET, BY BUSINESS FUNCTION, 2023–2028 (USD MILLION)
  • TABLE 144 NORTH AMERICA: MARKET, BY VERTICAL, 2019–2022 (USD MILLION)
  • TABLE 145 NORTH AMERICA: MARKET, BY VERTICAL, 2023–2028 (USD MILLION)
  • TABLE 146 NORTH AMERICA: MARKET, BY COUNTRY, 2019–2022 (USD MILLION)
  • TABLE 147 NORTH AMERICA: MARKET, BY COUNTRY, 2023–2028 (USD MILLION)
  • TABLE 148 EUROPE: DATA MESH MARKET, BY OFFERING, 2019–2022 (USD MILLION)
  • TABLE 149 EUROPE: MARKET, BY OFFERING, 2023–2028 (USD MILLION)
  • TABLE 150 EUROPE: MARKET, BY SOLUTION, 2019–2022 (USD MILLION)
  • TABLE 151 EUROPE: MARKET, BY SOLUTION, 2023–2028 (USD MILLION)
  • TABLE 152 EUROPE: MARKET, BY SERVICE, 2019–2022 (USD MILLION)
  • TABLE 153 EUROPE: MARKET, BY SERVICE, 2023–2028 (USD MILLION)
  • TABLE 154 EUROPE: MARKET, BY PROFESSIONAL SERVICE, 2019–2022 (USD MILLION)
  • TABLE 155 EUROPE: MARKET, BY PROFESSIONAL SERVICE, 2023–2028 (USD MILLION)
  • TABLE 156 EUROPE: DATA MESH SOLUTIONS MARKET, BY DEPLOYMENT MODE, 2019–2022 (USD MILLION)
  • TABLE 157 EUROPE: DATA MESH SOLUTIONS MARKET, BY DEPLOYMENT MODE, 2023–2028 (USD MILLION)
  • TABLE 158 EUROPE: MARKET, BY APPROACH, 2019–2022 (USD MILLION)
  • TABLE 159 EUROPE: MARKET, BY APPROACH, 2023–2028 (USD MILLION)
  • TABLE 160 EUROPE: MARKET, BY APPLICATION, 2019–2022 (USD MILLION)
  • TABLE 161 EUROPE: MARKET, BY APPLICATION, 2023–2028 (USD MILLION)
  • TABLE 162 EUROPE: MARKET, BY BUSINESS FUNCTION, 2019–2022 (USD MILLION)
  • TABLE 163 EUROPE: MARKET, BY BUSINESS FUNCTION, 2023–2028 (USD MILLION)
  • TABLE 164 EUROPE: MARKET, BY VERTICAL, 2019–2022 (USD MILLION)
  • TABLE 165 EUROPE: MARKET, BY VERTICAL, 2023–2028 (USD MILLION)
  • TABLE 166 EUROPE: MARKET, BY COUNTRY, 2019–2022 (USD MILLION)
  • TABLE 167 EUROPE: MARKET, BY COUNTRY, 2023–2028 (USD MILLION)
  • TABLE 168 ASIA PACIFIC: DATA MESH MARKET, BY OFFERING, 2019–2022 (USD MILLION)
  • TABLE 169 ASIA PACIFIC: MARKET, BY OFFERING, 2023–2028 (USD MILLION)
  • TABLE 170 ASIA PACIFIC: MARKET, BY SOLUTION, 2019–2022 (USD MILLION)
  • TABLE 171 ASIA PACIFIC: MARKET, BY SOLUTION, 2023–2028 (USD MILLION)
  • TABLE 172 ASIA PACIFIC: MARKET, BY SERVICE, 2019–2022 (USD MILLION)
  • TABLE 173 ASIA PACIFIC: MARKET, BY SERVICE, 2023–2028 (USD MILLION)
  • TABLE 174 ASIA PACIFIC: MARKET, BY PROFESSIONAL SERVICE, 2019–2022 (USD MILLION)
  • TABLE 175 ASIA PACIFIC: MARKET, BY PROFESSIONAL SERVICE, 2023–2028 (USD MILLION)
  • TABLE 176 ASIA PACIFIC: DATA MESH SOLUTIONS MARKET, BY DEPLOYMENT MODE, 2019–2022 (USD MILLION)
  • TABLE 177 ASIA PACIFIC: DATA MESH SOLUTIONS MARKET, BY DEPLOYMENT MODE, 2023–2028 (USD MILLION)
  • TABLE 178 ASIA PACIFIC: MARKET, BY APPROACH, 2019–2022 (USD MILLION)
  • TABLE 179 ASIA PACIFIC: MARKET, BY APPROACH, 2023–2028 (USD MILLION)
  • TABLE 180 ASIA PACIFIC: MARKET, BY APPLICATION, 2019–2022 (USD MILLION)
  • TABLE 181 ASIA PACIFIC: MARKET, BY APPLICATION, 2023–2028 (USD MILLION)
  • TABLE 182 ASIA PACIFIC: MARKET, BY BUSINESS FUNCTION, 2019–2022 (USD MILLION)
  • TABLE 183 ASIA PACIFIC: MARKET, BY BUSINESS FUNCTION, 2023–2028 (USD MILLION)
  • TABLE 184 ASIA PACIFIC: MARKET, BY VERTICAL, 2019–2022 (USD MILLION)
  • TABLE 185 ASIA PACIFIC: DATA MESH MARKET, BY VERTICAL, 2023–2028 (USD MILLION)
  • TABLE 186 ASIA PACIFIC: MARKET, BY COUNTRY, 2019–2022 (USD MILLION)
  • TABLE 187 ASIA PACIFIC: MARKET, BY COUNTRY, 2023–2028 (USD MILLION)
  • TABLE 188 MIDDLE EAST & AFRICA: MARKET, BY OFFERING, 2019–2022 (USD MILLION)
  • TABLE 189 MIDDLE EAST & AFRICA: MARKET, BY OFFERING, 2023–2028 (USD MILLION)
  • TABLE 190 MIDDLE EAST & AFRICA: MARKET, BY SOLUTION, 2019–2022 (USD MILLION)
  • TABLE 191 MIDDLE EAST & AFRICA: MARKET, BY SOLUTION, 2023–2028 (USD MILLION)
  • TABLE 192 MIDDLE EAST & AFRICA: MARKET, BY SERVICE, 2019–2022 (USD MILLION)
  • TABLE 193 MIDDLE EAST & AFRICA: MARKET, BY SERVICE, 2023–2028 (USD MILLION)
  • TABLE 194 MIDDLE EAST & AFRICA: MARKET, BY PROFESSIONAL SERVICE, 2019–2022 (USD MILLION)
  • TABLE 195 MIDDLE EAST & AFRICA: MARKET, BY PROFESSIONAL SERVICE, 2023–2028 (USD MILLION)
  • TABLE 196 MIDDLE EAST & AFRICA: DATA MESH SOLUTIONS MARKET, BY DEPLOYMENT MODE, 2019–2022 (USD MILLION)
  • TABLE 197 MIDDLE EAST & AFRICA: DATA MESH SOLUTIONS MARKET, BY DEPLOYMENT MODE, 2023–2028 (USD MILLION)
  • TABLE 198 MIDDLE EAST & AFRICA: MARKET, BY APPROACH, 2019–2022 (USD MILLION)
  • TABLE 199 MIDDLE EAST & AFRICA: MARKET, BY APPROACH, 2023–2028 (USD MILLION)
  • TABLE 200 MIDDLE EAST & AFRICA: DATA MESH MARKET, BY APPLICATION, 2019–2022 (USD MILLION)
  • TABLE 201 MIDDLE EAST & AFRICA: MARKET, BY APPLICATION, 2023–2028 (USD MILLION)
  • TABLE 202 MIDDLE EAST & AFRICA: MARKET, BY BUSINESS FUNCTION, 2019–2022 (USD MILLION)
  • TABLE 203 MIDDLE EAST & AFRICA: MARKET, BY BUSINESS FUNCTION, 2023–2028 (USD MILLION)
  • TABLE 204 MIDDLE EAST & AFRICA: MARKET, BY VERTICAL, 2019–2022 (USD MILLION)
  • TABLE 205 MIDDLE EAST & AFRICA: MARKET, BY VERTICAL, 2023–2028 (USD MILLION)
  • TABLE 206 MIDDLE EAST & AFRICA: MARKET, BY COUNTRY, 2019–2022 (USD MILLION)
  • TABLE 207 MIDDLE EAST & AFRICA: MARKET, BY COUNTRY, 2023–2028 (USD MILLION)
  • TABLE 208 LATIN AMERICA: MARKET, BY OFFERING, 2019–2022 (USD MILLION)
  • TABLE 209 LATIN AMERICA: MARKET, BY OFFERING, 2023–2028 (USD MILLION)
  • TABLE 210 LATIN AMERICA: MARKET, BY SOLUTION, 2019–2022 (USD MILLION)
  • TABLE 211 LATIN AMERICA: MARKET, BY SOLUTION, 2023–2028 (USD MILLION)
  • TABLE 212 LATIN AMERICA: DATA MESH MARKET, BY SERVICE, 2019–2022 (USD MILLION)
  • TABLE 213 LATIN AMERICA: MARKET, BY SERVICE, 2023–2028 (USD MILLION)
  • TABLE 214 LATIN AMERICA: MARKET, BY PROFESSIONAL SERVICE, 2019–2022 (USD MILLION)
  • TABLE 215 LATIN AMERICA: MARKET, BY PROFESSIONAL SERVICE, 2023–2028 (USD MILLION)
  • TABLE 216 LATIN AMERICA: DATA MESH SOLUTIONS MARKET, BY DEPLOYMENT MODE, 2019–2022 (USD MILLION)
  • TABLE 217 LATIN AMERICA: DATA MESH SOLUTIONS MARKET, BY DEPLOYMENT MODE, 2023–2028 (USD MILLION)
  • TABLE 218 LATIN AMERICA: MARKET, BY APPROACH, 2019–2022 (USD MILLION)
  • TABLE 219 LATIN AMERICA: MARKET, BY APPROACH, 2023–2028 (USD MILLION)
  • TABLE 220 LATIN AMERICA: MARKET, BY APPLICATION, 2019–2022 (USD MILLION)
  • TABLE 221 LATIN AMERICA: DATA MESH MARKET, BY APPLICATION, 2023–2028 (USD MILLION)
  • TABLE 222 LATIN AMERICA: MARKET, BY BUSINESS FUNCTION, 2019–2022 (USD MILLION)
  • TABLE 223 LATIN AMERICA: MARKET, BY BUSINESS FUNCTION, 2023–2028 (USD MILLION)
  • TABLE 224 LATIN AMERICA: MARKET, BY VERTICAL, 2019–2022 (USD MILLION)
  • TABLE 225 LATIN AMERICA: MARKET, BY VERTICAL, 2023–2028 (USD MILLION)
  • TABLE 226 LATIN AMERICA: MARKET, BY COUNTRY, 2019–2022 (USD MILLION)
  • TABLE 227 LATIN AMERICA: MARKET, BY COUNTRY, 2023–2028 (USD MILLION)
  • TABLE 228 OVERVIEW OF STRATEGIES ADOPTED BY KEY DATA MESH VENDORS
  • TABLE 229 MARKET: DEGREE OF COMPETITION
  • TABLE 230 PRODUCT FOOTPRINT (20 COMPANIES)
  • TABLE 231 VERTICAL FOOTPRINT (20 COMPANIES)
  • TABLE 232 REGIONAL FOOTPRINT (20 COMPANIES)
  • TABLE 233 COMPANY FOOTPRINT (20 COMPANIES)
  • TABLE 234 MARKET: DETAILED LIST OF START-UPS/SMES
  • TABLE 235 DATA MESH MARKET: COMPETITIVE BENCHMARKING OF START-UPS/SMES
  • TABLE 236 MARKET: PRODUCT LAUNCHES AND ENHANCEMENTS, OCTOBER 2020–DECEMBER 2023
  • TABLE 237 MARKET: DEALS, JUNE 2019–NOVEMBER 2023
  • TABLE 238 MARKET: OTHERS, AUGUST 2020–AUGUST 2023
  • TABLE 239 IBM: BUSINESS OVERVIEW
  • TABLE 240 IBM: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 241 IBM: PRODUCT LAUNCHES AND ENHANCEMENTS
  • TABLE 242 IBM: DEALS
  • TABLE 243 SAP: BUSINESS OVERVIEW
  • TABLE 244 SAP: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 245 SAP: PRODUCT LAUNCHES AND ENHANCEMENTS
  • TABLE 246 SAP: DEALS
  • TABLE 247 ORACLE: BUSINESS OVERVIEW
  • TABLE 248 ORACLE: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 249 ORACLE: PRODUCT LAUNCHES AND ENHANCEMENTS
  • TABLE 250 ORACLE: DEALS
  • TABLE 251 INFORMATICA: BUSINESS OVERVIEW
  • TABLE 252 INFORMATICA: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 253 INFORMATICA: PRODUCT LAUNCHES AND ENHANCEMENTS
  • TABLE 254 INFORMATICA: DEALS
  • TABLE 255 AWS: BUSINESS OVERVIEW
  • TABLE 256 AWS: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 257 AWS: PRODUCT LAUNCHES AND ENHANCEMENTS
  • TABLE 258 AWS: DEALS
  • TABLE 259 AWS: OTHERS
  • TABLE 260 NETAPP: BUSINESS OVERVIEW
  • TABLE 261 NETAPP: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 262 NETAPP: DEALS
  • TABLE 263 TERADATA: BUSINESS OVERVIEW
  • TABLE 264 TERADATA: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 265 TERADATA: PRODUCT LAUNCHES AND ENHANCEMENTS
  • TABLE 266 TERADATA: DEALS
  • TABLE 267 K2VIEW: BUSINESS OVERVIEW
  • TABLE 268 K2VIEW: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 269 K2VIEW: PRODUCT LAUNCHES AND ENHANCEMENTS
  • TABLE 270 K2VIEW: DEALS
  • TABLE 271 K2VIEW: OTHERS
  • TABLE 272 TALEND: BUSINESS OVERVIEW
  • TABLE 273 TALEND: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 274 TALEND: PRODUCT LAUNCHES AND ENHANCEMENTS
  • TABLE 275 TALEND: DEALS
  • TABLE 276 DENODO: BUSINESS OVERVIEW
  • TABLE 277 DENODO: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 278 DENODO: PRODUCT LAUNCHES AND ENHANCEMENTS
  • TABLE 279 DENODO: DEALS
  • TABLE 280 DATA FABRIC MARKET, BY COMPONENT, 2018–2021 (USD MILLION)
  • TABLE 281 DATA FABRIC MARKET, BY COMPONENT, 2022–2027 (USD MILLION)
  • TABLE 282 DATA FABRIC MARKET, BY TYPE, 2018–2021 (USD MILLION)
  • TABLE 283 DATA FABRIC MARKET, BY TYPE, 2022–2027 (USD MILLION)
  • TABLE 284 DATA FABRIC MARKET, BY ORGANIZATION SIZE, 2018–2021 (USD MILLION)
  • TABLE 286 DATA FABRIC MARKET, BY DEPLOYMENT MODE, 2018–2021 (USD MILLION)
  • TABLE 287 DATA FABRIC MARKET, BY DEPLOYMENT MODE, 2022–2027 (USD MILLION)
  • TABLE 288 DATA FABRIC MARKET, BY APPLICATION, 2018–2021 (USD MILLION)
  • TABLE 289 DATA FABRIC MARKET, BY APPLICATION, 2022–2027 (USD MILLION)
  • TABLE 290 DATA FABRIC MARKET, BY VERTICAL, 2018–2021 (USD MILLION)
  • TABLE 291 DATA FABRIC MARKET, BY VERTICAL, 2022–2027 (USD MILLION)
  • TABLE 292 DATA FABRIC MARKET, BY REGION, 2018–2021 (USD MILLION)
  • TABLE 293 DATA FABRIC MARKET, BY REGION, 2022–2027 (USD MILLION)
  • TABLE 294 DATA CATALOG MARKET, BY COMPONENT, 2017–2021 (USD MILLION)
  • TABLE 295 DATA CATALOG MARKET, BY COMPONENT, 2022–2027 (USD MILLION)
  • TABLE 296 DATA CATALOG MARKET, BY DEPLOYMENT MODE, 2017–2021 (USD MILLION)
  • TABLE 297 DATA CATALOG MARKET, BY DEPLOYMENT MODE, 2022–2027 (USD MILLION)
  • TABLE 298 DATA CATALOG MARKET, BY DATA CONSUMER, 2017–2021 (USD MILLION)
  • TABLE 299 DATA CATALOG MARKET, BY DATA CONSUMER, 2022–2027 (USD MILLION)
  • TABLE 300 DATA CATALOG MARKET, BY METADATA TYPE, 2017–2021 (USD MILLION)
  • TABLE 301 DATA CATALOG MARKET, BY METADATA TYPE, 2022–2027 (USD MILLION)
  • TABLE 302 DATA CATALOG MARKET, BY ORGANIZATION SIZE, 2017–2021 (USD MILLION)
  • TABLE 303 DATA CATALOG MARKET, BY ORGANIZATION SIZE, 2022–2027 (USD MILLION)
  • TABLE 304 DATA CATALOG MARKET, BY VERTICAL, 2017–2021 (USD MILLION)
  • TABLE 305 DATA CATALOG MARKET, BY VERTICAL, 2022–2027 (USD MILLION)
  • TABLE 306 DATA CATALOG MARKET, BY REGION, 2017–2021 (USD MILLION)
  • TABLE 307 DATA CATALOG MARKET, BY REGION, 2022–2027 (USD MILLION)
LIST OF FIGURES
 
  • FIGURE 1 MARKET: RESEARCH DESIGN
  • FIGURE 2 DATA TRIANGULATION
  • FIGURE 3 DATA MESH MARKET: TOP-DOWN AND BOTTOM-UP APPROACHES
  • FIGURE 4 MARKET SIZE ESTIMATION METHODOLOGY–APPROACH 1 (SUPPLY-SIDE): REVENUE FROM SOLUTIONS/SERVICES OF DATA MESH MARKET
  • FIGURE 5 MARKET SIZE ESTIMATION METHODOLOGY–APPROACH 2, BOTTOM-UP (SUPPLY-SIDE): COLLECTIVE REVENUE FROM ALL SOLUTIONS/SERVICES OF MARKET
  • FIGURE 6 MARKET SIZE ESTIMATION METHODOLOGY-APPROACH 3, BOTTOM-UP (SUPPLY-SIDE): COLLECTIVE REVENUE FROM ALL SOLUTIONS/SERVICES OF MARKET
  • FIGURE 7 MARKET SIZE ESTIMATION METHODOLOGY – APPROACH 4, BOTTOM-UP (DEMAND-SIDE): SHARE OF DATA MESH THROUGH OVERALL DATA MESH SPENDING
  • FIGURE 8 SOLUTIONS SEGMENT TO DOMINATE MARKET IN 2023
  • FIGURE 9 DATA INTEGRATION & DELIVERY ACCOUNT FOR LARGEST MARKET SHARE IN 2023
  • FIGURE 10 PROFESSIONAL SERVICES TO DOMINATE MARKET IN 2023
  • FIGURE 11 CONSULTING & IMPLEMENTATION SERVICES TO DOMINATE MARKET IN 2023
  • FIGURE 12 CUSTOMER EXPERIENCE MANAGEMENT SEGMENT TO DOMINATE MARKET IN 2023
  • FIGURE 13 CLOUD SEGMENT TO LEAD DATA MESH MARKET IN 2023
  • FIGURE 14 COARSE-GRAINED SEGMENT TO ACCOUNT FOR LARGEST MARKET SHARE IN 2023
  • FIGURE 15 SALES & MARKETING SEGMENT TO ACCOUNT FOR LARGEST MARKET SHARE IN 2023
  • FIGURE 16 HEALTHCARE & LIFE SCIENCES SEGMENT TO ACHIEVE HIGHEST GROWTH RATE DURING FORECAST PERIOD
  • FIGURE 17 NORTH AMERICA TO ACCOUNT FOR LARGEST MARKET SHARE AND ASIA PACIFIC TO GROW AT HIGHEST CAGR IN 2023
  • FIGURE 18 INCREASING NEED FOR DATA DEMOCRATIZATION AND ACCESSIBILITY FOR BETTER CUSTOMER EXPERIENCE TO BOOST MARKET GROWTH
  • FIGURE 19 DATA MESH MARKET TO WITNESS MINOR DECLINE IN Y-O-Y GROWTH IN 2023
  • FIGURE 20 IOT MONITORING SEGMENT TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
  • FIGURE 21 SOLUTIONS AND BFSI SEGMENTS TO ACCOUNT FOR SIGNIFICANT SHARE I N NORTH AMERICA IN 2023
  • FIGURE 22 NORTH AMERICA TO ACCOUNT FOR LARGEST MARKET SHARE IN 2023
  • FIGURE 23 MARKET: DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES
  • FIGURE 24 MARKET EVOLUTION
  • FIGURE 25 MARKET: ARCHITECTURE
  • FIGURE 26 DATA MESH MARKET: VALUE CHAIN ANALYSIS
  • FIGURE 27 KEY PLAYERS IN MARKET ECOSYSTEM
  • FIGURE 28 TOTAL NUMBER OF PATENTS GRANTED, 2013–2023
  • FIGURE 29 TOP 10 APPLICANTS IN DATA MESH MARKET, 2013–2023
  • FIGURE 30 REGIONAL ANALYSIS OF PATENTS GRANTED, 2013–2023
  • FIGURE 31 AVERAGE SELLING PRICE TREND OF KEY PLAYERS, BY KEY SOFTWARE TYPE
  • FIGURE 32 PORTER’S FIVE FORCES ANALYSIS
  • FIGURE 33 DATA MESH TECHNOLOGY ROADMAP
  • FIGURE 34 TRENDS/DISRUPTIONS IMPACTING CUSTOMERS’ BUSINESSES
  • FIGURE 35 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP THREE APPLICATIONS
  • FIGURE 36 KEY BUYING CRITERIA FOR TOP THREE APPLICATIONS
  • FIGURE 37 SERVICES SEGMENT TO REGISTER HIGHER CAGR DURING FORECAST PERIOD
  • FIGURE 38 DATA TRANSFORMATION & ORCHESTRATION SEGMENT TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
  • FIGURE 39 ON-PREMISES SEGMENT TO GROW AT HIGHER CAGR DURING FORECAST PERIOD
  • FIGURE 40 MANAGED SERVICES SEGMENT TO GROW AT HIGHER CAGR DURING FORECAST PERIOD
  • FIGURE 41 TRAINING & EDUCATION SERVICES SEGMENT TO REGISTER HIGHEST CAGR DURING FORECAST PERIOD
  • FIGURE 42 FINE-GRAINED MESH SEGMENT TO REGISTER HIGHEST CAGR DURING FORECAST PERIOD
  • FIGURE 43 HR SEGMENT TO REGISTER HIGHEST CAGR DURING FORECAST PERIOD
  • FIGURE 44 IOT MONITORING SEGMENT TO REGISTER HIGHEST CAGR DURING FORECAST PERIOD
  • FIGURE 45 HEALTHCARE & LIFE SCIENCES VERTICAL TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
  • FIGURE 46 ASIA PACIFIC TO REGISTER HIGHEST CAGR DURING FORECAST PERIOD
  • FIGURE 47 INDIA TO WITNESS HIGHEST GROWTH DURING FORECAST PERIOD
  • FIGURE 48 NORTH AMERICA: MARKET SNAPSHOT
  • FIGURE 49 ASIA PACIFIC: MARKET SNAPSHOT
  • FIGURE 50 TOP 5 PLAYERS DOMINATED MARKET IN LAST 5 YEARS
  • FIGURE 51 MARKET SHARE ANALYSIS OF KEY PLAYERS, 2022
  • FIGURE 52 EV/EBITDA OF KEY DATA MESH VENDORS
  • FIGURE 53 YEAR-TO-DATE (YTD) PRICE TOTAL RETURN AND 5-YEAR STOCK BETA OF KEY DATA MESH VENDORS
  • FIGURE 54 BRAND/PRODUCT COMPARATIVE ANALYSIS
  • FIGURE 55 COMPANY EVALUATION MATRIX, 2022
  • FIGURE 56 STARTUP/SME EVALUATION MATRIX, 2022
  • FIGURE 57 IBM: COMPANY SNAPSHOT
  • FIGURE 58 SAP: COMPANY SNAPSHOT
  • FIGURE 59 ORACLE: COMPANY SNAPSHOT
  • FIGURE 60 INFORMATICA: COMPANY SNAPSHOT
  • FIGURE 61 AWS: COMPANY SNAPSHOT
  • FIGURE 62 NETAPP: COMPANY SNAPSHOT
  • FIGURE 63 TERADATA: COMPANY SNAPSHOT

 

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.

Secondary Research

In the secondary research process, various sources were referred to, for identifying and collecting information for this study. Secondary sources included annual reports, press releases, and investor presentations of companies; white papers, journals, and certified publications; and articles from recognized authors, directories, and databases. The data was also collected from other secondary sources, such as journals, government websites, blogs, and vendors' websites. Additionally, data mesh spending of various countries was extracted from the respective sources. Secondary research was mainly used to obtain key information related to the industry’s value chain and supply chain to identify key players based on solutions, services, market classification, and segmentation according to offerings of major players, industry trends related to solutions, services, deployment modes, approach, business function, application, vertical, and regions, and key developments from both market- and technology-oriented perspectives.

Primary Research

In the primary research process, various primary sources from both the supply and demand sides were interviewed to obtain qualitative and quantitative information on the market. The primary sources from the supply side included various industry experts, including Chief Experience Officers (CXOs); Vice Presidents (VPs); directors from business development, marketing, and data mesh expertise; related key executives from data mesh solution vendors, SIs, professional service providers, and industry associations; and key opinion leaders.

Primary interviews were conducted to gather insights, such as market statistics, revenue data collected from solutions and services, market breakups, market size estimations, market forecasts, and data triangulation. Primary research also helped understand various trends related to technologies, applications, deployments, and regions. Stakeholders from the demand side, such as Chief Information Officers (CIOs), Chief Technology Officers (CTOs), Chief Strategy Officers (CSOs), and end users using data mesh solutions, were interviewed to understand the buyer’s perspective on suppliers, products, service providers, and their current usage of data mesh solutions and services, which would impact the overall data mesh market.

Data Mesh Market Size, and Share

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COMPANY NAME

DESIGNATION

Atlan

Director

K2view

Director of Marketing

Informatica

Director of Platform and Industry Marketing 

Denodo

Director of Product Marketing

Market Size Estimation

In the bottom-up approach, the adoption rate of data mesh solutions and services among different end users in key countries concerning their regions contributing the most to the market share was identified. For cross-validation, the adoption of data mesh solutions and services among industries and different use cases concerning their regions was identified and extrapolated. Weightage was given to use cases identified in different regions for the market size calculation.

Based on the market numbers, the regional split was determined by primary and secondary sources. The procedure included the analysis of the data mesh market’s regional penetration. Based on secondary research, the regional spending on Information and Communications Technology (ICT), socio-economic analysis of each country, strategic vendor analysis of major data mesh providers, and organic and inorganic business development activities of regional and global players were estimated. With the data triangulation procedure and data validation through primaries, the exact values of the overall data mesh market size and segments’ size were determined and confirmed using the study.

Global Data Mesh Market Size: Bottom-Up and Top-Down Approach:

Data Mesh Market Size, and Share

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Data Triangulation

Based on the market numbers, the regional split was determined by primary and secondary sources. The procedure included the analysis of the data mesh market’s regional penetration. Based on secondary research, the regional spending on Information and Communications Technology (ICT), socio-economic analysis of each country, strategic vendor analysis of major data mesh providers, and organic and inorganic business development activities of regional and global players were estimated. With the data triangulation procedure and data validation through primaries, the exact values of the overall data mesh market size and segments’ size were determined and confirmed using the study.

Market Definition

A data mesh serves as an architectural blueprint aimed at addressing intricate data security concerns by embracing a distributed, decentralized ownership model. Organizations often grapple with numerous data sources stemming from various business sectors, necessitating integration for comprehensive analytics. Through a data mesh architecture, these diverse data origins are effectively unified and interconnected using centralized guidelines for data sharing and governance.

Stakeholders

  • Data mesh vendors
  • Data mesh service vendors
  • Managed service providers
  • Support and maintenance service providers
  • System Integrators (SIs)/migration service providers
  • Value-Added Resellers (VARs) and distributors
  • Distributors and Value-added Resellers (VARs)
  • System Integrators (SIs)
  • Independent Software Vendors (ISV)
  • Third-party providers
  • Technology providers

Report Objectives

  • To define, describe, and predict the data mesh market by offering (solutions, services, and solutions by deployment mode), business function, approach, application, vertical and region
  • To provide detailed information related to major factors (drivers, restraints, opportunities, and industry-specific challenges) influencing the market growth
  • To analyze the micro markets with respect to individual growth trends, prospects, and their contribution to the total market
  • To analyze the opportunities in the market for stakeholders by identifying the high-growth segments of the market
  • To analyze opportunities in the market and provide details of the competitive landscape for stakeholders and market leaders
  • To forecast the market size of segments for five main regions: North America, Europe, Asia Pacific, Middle East & Africa, and Latin America
  • To profile key players and comprehensively analyze their market rankings and core competencies
  • To analyze competitive developments, such as partnerships, new product launches, and mergers and acquisitions, in the market
  • To analyze the impact of recession across all the regions across the data mesh market

Available Customizations

With the given market data, MarketsandMarkets offers customizations as per your company’s specific needs. The following customization options are available for the report:

Product Analysis

  • Product quadrant, which gives a detailed comparison of the product portfolio of each company.

Geographic Analysis

  • Further breakup of the North American data mesh market
  • Further breakup of the European market
  • Further breakup of the Asia Pacific market
  • Further breakup of the Middle Eastern & African market
  • Further breakup of the Latin America market

Company Information

  • Detailed analysis and profiling of additional market players (up to five)

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