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Trends we’re watching in 2025:
- Scale, innovation and even repatriation will moderate cloud market growth in 2025
- Microsoft will narrow the gap with AWS in IaaS & PaaS market share, en route to leadership in 2027
- SaaS vendors will shrug off growing GenAI disillusionment, focusing on the long term by prioritizing GenAI agents within their development strategies
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Market and competitor benchmarks provide a comparison of vendor performance in a market, including analysis on vendor strategies, financial performance, go-to-market and resource management. The research graphically portrays comparisons of vendors by myriad metrics, calling out leaders, laggards and business models. Defensible, data-informed views of market opportunity and operational best practices are highlighted in each publication. TBR also provides benchmark data in Excel pivot tables.
Current Market & Competitor Benchmarks:
- Cloud and Software Applications Benchmark
- Cloud Components Benchmark
- Cloud Infrastructure & Platforms Benchmark
- Cloud Professional Services Benchmark
- Colocation Benchmark
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Hybrid, Proximity and Ecosystems Are Elevating the Importance of Colocation
/by Allan Krans, Practice Manager and Principal AnalystWhether due to existing legacy investments, divisional or regional nuances, or acquisition and divestiture activity, heterogeneity will remain in most IT environments. At one point, the benefits of public cloud made organizations consider a homogeneous, fully cloud-based IT delivery strategy, but those visions have faded for most. The challenge — and goal — is to embrace the hybrid heterogeneous approach and find the best way to integrate, manage and optimize services across these diverse sets of delivery methods and assets. Colocation data centers play a critical role for customers, offering a hybrid approach to facilities and in the interconnection of cloud and on-premises services.
Databricks Pivots Around Data Intelligence to Address GenAI Use Cases
/by Catie Merrill, Senior AnalystJust like it did with the data lakehouse five years ago, Databricks is establishing another paradigm with data intelligence, which has the data lakehouse architecture at its core but is infused with generative AI (GenAI). Data intelligence was a key theme throughout Databricks Data & AI Summit and signals Databricks’ intentions to further democratize AI and ultimately help every company become an AI company.