The Rise of Multimodel Data Platforms: Transforming Enterprise Data Management for a Connected Future
QKS Group Highlights
Steady Growth for the Multimodel
Data Platform Market in Western Europe by 2028.
QKS Group forecasts
that the Western European market for Multimodel Data Platforms will witness
consistent growth through 2028. Emerging trends indicate a greater integration
of artificial intelligence (AI) and machine learning (ML) to strengthen data
analytics and predictive capabilities. The region’s accelerated adoption of
cloud computing and hybrid IT environments is expected to boost demand for
platforms that enable seamless data management across various infrastructures.
Furthermore,
the expanding use of edge computing and IoT initiatives will require advanced
data platforms capable of real-time handling of diverse data types. As
organizations across Western Europe continue to prioritize digital
transformation and data-driven strategies, multimodel data platforms will
remain a critical element of their technology ecosystems.
Key
Questions Addressed in This Study:
What is the
current and projected competitive landscape of the Multimodel Data Platform
market in Western Europe?
What will be
the key competitive dynamics influencing the Western European Multimodel Data
Platform market by 2028?
How will
vendors position themselves across different customer segments, ranging from
SMBs to large enterprises, by 2028?
How will
vendors compare in their offerings of cloud-based versus on-premises solutions
by 2028 in Western Europe?
What are the
relative strengths and challenges faced by vendors operating in the Western
European market?
What are the
market forecasts for major industries utilizing multimodel data platforms?
What
competitive factors will impact vendor positioning in the Western European
market?
Strategic
Market Insights
QKS Group defines
a Multimodel
Data Platform as a unified database system designed to support multiple
data types and models—including document, graph, and relational models—on the
same dataset in real-time or near real-time within a single integrated
environment. Rather than being limited to a specific data model, multimodel
databases allow users to interact with different models based on specific use
cases.
These
platforms enable the management of structured, semi-structured, and
unstructured data in one system, eliminating the need for data movement or
duplication. By supporting a variety of data representations, query languages,
and containerized management instances, multimodel platforms enhance
organizational agility, reduce operational costs, eliminate data silos, and
improve efficiency and user experience—addressing increasingly complex data
management requirements.
Vendors
covered in this Study:
ArangoDB,
Couchbase, DataStax, EDB, IBM, InterSystems, MariaDB, MarkLogic, Microsoft,
MongoDB, Neo4j, Oracle, Redis, SAP, and SingleStore.
Also Read:
https://qksgroup.com/market-research/market-forecast-multimodel-data-platform-2024-2028-canada-5801
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