Report:
The Forrester Wave™: Master Data Management, Q2 2023
How does Forrester define the Master Data Management market in 2023?
The MDM market has evolved significantly with the proliferation of AI and machine learning technologies. Modern MDM solutions now incorporate automated data quality, governance, compliance, and no-code/low-code configuration. Providers are natively integrating complementary capabilities such as PIM, DAM, data classification, and profiling to provide seamless customer experiences. Modern MDMs serve as hubs for consolidating trusted data, integrating data through graph engines, delivering real-time streaming for data quality management, and providing prebuilt multidomain capabilities. They bridge gaps in data fabric architecture by offering connected, governed, secure, and compliant data centers. The evolution from traditional technical solutions to advanced platforms incorporating data enrichment, context, machine learning, real-time processing, and analytics reflects the critical role of MDM in digital transformation initiatives.
Key Facts for The Forrester Wave™: Master Data Management, Q2 2023 in 2023
- Publication Date: 19-Jun-2023
- Document ID: RES178500
- Summary: In our 24-criterion evaluation of master data management (MDM) providers, we identified the most significant ones and researched, analyzed, and scored them. This report shows how each provider measures up and helps data and analytics professionals select the right one for their needs.
- Authors: Jayesh Chaurasia, Sudha Maheshwari, Faith Born, Jen Barton
How did the Master Data Management market evolve in 2023?
- Modern MDMs incorporate automated data quality, governance, compliance, and no-code/low-code configuration
- Providers are natively integrating complementary capabilities like PIM, DAM, data classification, and profiling
- MDM serves as a hub for consolidating trusted data in data fabric architecture
- Modern MDMs now include data enrichment, data context, machine learning, real-time data processing, and analytics
- Highly regulated industries like healthcare, CPG, banking, and finance are driving MDM initiatives due to stricter compliance controls
- Real-time data streaming and processing is becoming a must-have capability
- Customers expect data intelligence capabilities including management of data policies, business procedures, consent, metadata, and roles
- Solutions must leverage emerging technologies like AI, ML, and blockchain for automated and augmented data management
- New use cases include ESG, supply chain optimization, and fraud detection
What product features are required to be included in this year's evaluation?
- Enterprise-class MDM platform offering with basic support for data integration, data quality, data lineage, data governance, MDM tooling, data replication/synchronization to apps/processes, and one or more domains including customer, product, supplier, and asset
- Standalone current MDM offering not tied to particular applications (packaged applications, SaaS offering) or specific BI, predictive analytics, or middleware stack, with ability to run in standalone environment and have a stock-keeping unit (SKU)
- Referenceable installation base of 30 or more enterprise customers using the MDM product or service
- Minimum of $10 million in annual revenue for MDM
- Demonstrated Forrester enterprise customer interest through vendor mentions during inquiries, guidance sessions, customer shortlists, consulting projects, and/or case studies in the past 12 months
What are the common features of top products in the Master Data Management space?
No common features specified.
Scope Exclusions
- Products tied to particular applications such as packaged applications or SaaS offerings
- Solutions specific to a BI, predictive analytics, or middleware stack without standalone capability
- Vendors with fewer than 30 enterprise customers using their MDM product or service
- Vendors with less than $10 million in annual revenue for MDM
- Vendors without demonstrated customer interest in Forrester inquiries, guidance sessions, shortlists, or consulting projects in the past 12 months
- Products without stock-keeping unit (SKU) for standalone purchase
Inclusion Criteria
Vendors must, among other requirements:
- Enterprise-class MDM platform offering with basic support for data integration, data quality, data lineage, data governance, MDM tooling, data replication/synchronization, and one or more domains (customer, product, supplier, asset)
- Standalone current MDM offering not tied to particular applications or BI/analytics stack, with a stock-keeping unit (SKU)
- Referenceable installation base of 30 or more enterprise customers using the MDM product or service
- Minimum of $10 million in annual revenue for MDM
- Demonstrated enterprise customer interest through Forrester inquiries, guidance sessions, customer shortlists, consulting projects, and/or case studies in the past 12 months
Offering Strengths — Relative Weighting
- Matching, linking, and entity resolution — 5%
- Data enrichment — 5%
- Data integration — 10%
- Customer 360 domain — 10%
- Product 360 domain — 5%
- Multidomain — 5%
- Business templates — 5%
- Deployment — 5%
- Time to value — 5%
- Scalability — 5%
- Compliance — 5%
- Security — 10%
- Data quality — 10%
- Data context — 5%
- Lineage — 5%
- Data governance — 5%
Strategy Strength — Relative Weighting
- Vision — 25%
- Innovation — 25%
- Roadmap — 20%
- Partner ecosystem — 10%
- Adoption — 10%
- Pricing flexibility and transparency — 10%
FAQs
Q: What does this research cover?
A: This research provides a comprehensive evaluation of 15 master data management (MDM) providers based on 24 criteria across three categories: current offering, strategy, and market presence. The evaluation assesses vendors' capabilities in data integration, data quality, governance, compliance, security, multidomain support, AI/ML automation, and their ability to support modern data fabric architectures. The report includes detailed vendor profiles identifying each provider's strengths and weaknesses, customer feedback, and best-fit scenarios.
Q: Who should use this research?
A: Data and analytics professionals evaluating MDM solutions should use this research to identify the right provider for their specific needs. It is particularly valuable for organizations seeking to support compliance and data security through federated governance, implement real-time data streaming and processing, leverage data intelligence capabilities, or adapt to changing business needs with innovative technologies. The research helps buyers understand vendor positioning across Leaders, Strong Performers, Contenders, and Challengers, and provides customizable criteria weightings through an Excel-based comparison tool to match individual requirements.
Q: What are the mandatory features of vendors included in this market?
A: All vendors included in this evaluation must provide an enterprise-class MDM platform with core capabilities including data integration, data quality, data lineage, data governance, MDM tooling, and data replication/synchronization to applications and processes. The solution must support one or more master data domains such as customer, product, supplier, or asset. The offering must be standalone (not tied to specific applications or middleware stacks) with its own SKU, have a proven customer base of at least 30 enterprise clients, generate minimum $10 million in annual MDM revenue, and demonstrate significant interest from Forrester's enterprise client base through inquiries and engagements over the past 12 months.
Q: What are some reasons for not being included in this report?
A:
- MDM capabilities embedded only within packaged applications or SaaS offerings without standalone availability
- Solutions that function only as components of specific BI, analytics, or middleware platforms
- Insufficient market presence with fewer than 30 enterprise customer references
- Annual MDM revenue below $10 million threshold
- Lack of demonstrated demand from Forrester's enterprise client base in recent inquiries and consulting engagements
- Products without independent stock-keeping units for standalone purchase
- Solutions that do not support core MDM capabilities across data integration, quality, lineage, governance, and domain management
Q: What should buyers consider when evaluating products in this market?
A:
- Support for compliance and data security through robust federated governance with natively integrated data governance, quality management, retention policies, privacy controls, and distributed enablement for data fabric/mesh architectures
- Real-time data streaming and processing capabilities to handle continuous multi-channel customer data collection with flexible, scalable infrastructure and event-driven synchronization
- Data intelligence on unified solution including management of data policies, business procedures, consent, metadata, roles, and stewardship for collection, storage, analysis, and utilization
- Adaptability through innovative technologies (AI, ML, blockchain) with industry accelerators, cloud-native modular deployment, built-in data intelligence, and AI/ML automations for matching, merging, stewardship, and integration
- Support for new use cases including ESG, supply chain optimization, fraud detection, self-service enablement, data product creation, and real-time insights generation
Q: How has the Master Data Management market evolved in 2023?
A:
- Strong trend for MDM initiatives in highly regulated industries (healthcare, CPG, banking, finance) driven by stricter government data and compliance controls
- Data security climbing priority lists as data breaches increase, requiring mastered single views for better security controls and compliance management
- Increasing demand for real-time data streaming and processing to handle variety, velocity, and volume of continuously collected customer interaction data
- Customer expectation for holistic unified MDM solutions with data intelligence capabilities beyond basic data management
- Need for adaptability to changing business needs through emerging technologies (AI, ML, blockchain) for automated and augmented data management
- Providers natively integrating complementary capabilities (PIM, DAM, data classification, profiling) for seamless customer experiences
- Evolution from traditional technical solutions to platforms incorporating data enrichment, context, machine learning, real-time processing, and analytics
- Growing focus on federated governance to support data fabric and data mesh architectures
Q: What differentiates Strength of Offering vs. Strength of Strategy?
A: Current Offering (vertical axis) evaluates the strength of a vendor's existing MDM product capabilities across 16 technical criteria including matching/linking, data integration, domain support, deployment options, scalability, security, data quality, governance, and lineage. Strategy (horizontal axis) evaluates the vendor's forward-looking vision, innovation approach, product roadmap, partner ecosystem, market adoption, and pricing transparency across 6 business-oriented criteria. Current Offering focuses on what the product can do today, while Strategy assesses the vendor's ability to execute on future market needs.
Reference
- Forrester, The Forrester Wave™: Master Data Management, Q2 2023, 19-Jun-2023, ID RES178500
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