Data Explosion 2025: The rapid surge in global data volumes shows that information is growing faster than ever before. According to the World Economic Forum, the amount of data generated worldwide doubles roughly every two years—an exponential trend that is transforming nearly every economic sector and setting new technological standards. Data is no longer a byproduct of digital interactions; it has become a critical resource and strategic asset in the modern economy.
Data Explosion 2025: Dynamics, Importance, and Economic Impact
Whether in healthcare, finance, robotics, IoT, automation, or space technology—data volumes are rising massively in nearly all sectors. But the true transformation only arises from the ability to store, process, and intelligently leverage these data efficiently.
This development leads to:
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new business models
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increasing efficiency
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data-driven competitive advantages
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growing demand for modern data infrastructure
Companies that provide this technological foundation are becoming central enablers of the digital economy.
The Modern Data Stack: Three Key Companies
To create economic value from raw data, a functioning data architecture is essential. Three companies play pivotal roles in this ecosystem:
MongoDB – Structure for Unstructured Data
With its cloud platform Atlas, MongoDB enables the processing of large, distributed, and often unstructured datasets—a decisive advantage for real-time applications, AI systems, and modern software architectures.
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Revenue growth (TTM): 22%
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R&D share: 29%
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Market capitalization: USD 29 billion
Snowflake – Analytics, Sharing, and AI Transformation
Snowflake is seen as a leading platform for cross-organizational analytics, enterprise data models, and data sharing. The integration of AI workloads is becoming increasingly central to its strategy.
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Revenue growth (TTM): 28%
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R&D share: 48%
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Market capitalization: USD 89 billion
Datadog – Monitoring and Securing Complex Data Flows
As an observability platform, Datadog provides comprehensive visibility into cloud infrastructures, applications, security events, and costs—essential in a world where data flows are increasing exponentially.
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Revenue growth (TTM): 27%
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R&D share: 41%
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Market capitalization: USD 67 billion
How Our Portfolios Benefit From This Megatrend
The global trend toward data-driven business is directly reflected in the strategic positioning of our investment solutions.
NextGenTec Portfolio – Core Infrastructure of the Data Economy
The NextGenTec Portfolio invests exclusively in companies with revenue growth above 20% and focuses on technologies that enable the development and operation of modern data architectures.
This includes:
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cloud databases
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data cloud platforms
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observability solutions
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AI infrastructure
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scalable software architectures
MongoDB, Snowflake, and Datadog are exemplary for this structural approach. They form essential building blocks of the global “data stack,” indispensable for virtually every modern digital application.
Innovation Portfolio – Broad Access to Future Technologies
The Innovation Portfolio extends this thematic focus and includes disruptive technologies that depend heavily on scalable data processing, including:
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artificial intelligence
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robotics
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automation systems
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IoT networks
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edge computing
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digital platforms
Many of these technologies would not be possible without powerful data infrastructure—like the solutions included in the NextGenTec Portfolio. Both strategies complement each other and benefit from the same global growth forces.
Conclusion – From Computational Advantage to Investment Advantage
The rapid increase in global data is one of the strongest structural growth trends of our time. Companies like MongoDB, Snowflake, and Datadog are at the center of this development: they structure, transform, and secure data—creating the foundation for data-driven innovation.
With the NextGenTec Portfolio and the Innovation Portfolio, GlobalStrategic is strategically invested in the technologies that enable the digital future. Today, data is more than information—it is a strategic asset that opens new markets and shifts economic power dynamics.
Further Analyses & Reading Recommendations
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McKinsey & Company – The Data-Driven Enterprise of 2025
https://www.mckinsey.com/capabilities/quantumblack/our-insights/the-data-driven-enterprise-of-2025 -
Harvard Business Review – Why Becoming a Data-Driven Organization Is So Hard
https://hbr.org/2022/02/why-becoming-a-data-driven-organization-is-so-hard -
Bain & Company – Technology Report / Cloud & Data Platforms Insights
https://www.bain.com/insights/topics/technology-report/ -
MIT Technology Review / MIT Sloan – A New Look at the Economics of AI
https://mitsloan.mit.edu/ideas-made-to-matter/a-new-look-economics-ai