Google Cloud Next 2026 opened with Thomas Kurian declaring the end of the AI pilot era and Sundar Pichai comparing the enterprise refrain of last year (“Can we build an agent?”) to today’s: “How do we manage thousands of them?” Google Cloud Next ’26 answers the second question with a single product story: Gemini Enterprise […]

Our annual top emerging technologies for 2026 include the 10 most important technologies reshaping how people live, work, and buy. Like last year, AI continues to dominate, but this year we identify new applied AI technologies, such as agentic commerce and autonomous transportation, that consumers and others will experience directly, while technologies like agentic software development and physical AI will help innovators build the future that consumers will soon experience. Lastly, technologies like frontier models and AI security and trust will fuel the innovators and builders creating the future. In this report, we explain what these technologies are, when to expect value, and where to look first.

At NVIDIA GTC 2026, the most consequential signal was not another leap in compute performance but how intentionally NVIDIA is redefining AI as end‑to‑end infrastructure spanning systems, software, data, and the physical world. The event underscored a longer‑term strategy focused on owning how AI is built, operated, and scaled, not just what runs fastest.

Every year, Forrester clients ask us about trends in private cloud adoption. To help us answer these questions, Forrester’s Cloud Survey, 2025 and Forrester’s Infrastructure Survey, 2025 asked cloud and infrastructure decision-makers around the world about multiple aspects of their firm’s overall cloud infrastructure strategy. This report highlights private cloud tech adoption, budgets, motivators and concerns, and vendor sourcing trends to help tech strategists and leaders understand the current state and trajectory of the private cloud market.

The US cloud market in 2026 is entering a new era defined by AI-native architectures, multicloud complexity, and sovereignty concerns. While public cloud remains dominant for scalability and innovation, enterprises are increasingly adopting private and hybrid models to manage cost, compliance, and resilience. AI-driven workloads and agentic automation are reshaping cloud strategies, pushing hyperscalers and neoclouds into fierce competition. This report helps cloud leaders navigate these shifts by outlining the latest adoption patterns, operational priorities, and strategic recommendations for building a future-ready cloud ecosystem.

Selecting the best locations for a data center, colocation provider, managed service provider, and/or cloud service provider can be a complex and time-consuming activity with many factors to consider. By organizing data about users and locations, technology leaders can make quick, data-driven decisions. This tool enables technology leaders to simplify the selection process by using the 3D Maps capability of Microsoft Excel to visualize the best data center locations.

At the end of each year, we grade our cloud predictions. We use this report to hold us accountable and assess each prediction against what actually happened. In 2025, economic volatility, genAI, and tariffs dominated the tech market. Cloud providers made massive bets on AI data centers and infrastructure build-outs to support genAI workloads. Neoclouds used VC support, open-source AI projects, and NVIDIA chips to snatch premium enterprise end users. Still, the AI craze has left doubts on whether these investments are ahead of their time. This report outlines which 2025 predictions we got right, wrong, or somewhere in between.

SpaceX’s latest FCC filing signals a bold escalation in the battle for AI infrastructure dominance: a proposal to deploy up to 1 million solar‑powered orbital data‑center satellites — positioning space, not Earth, as the next frontier for compute capacity. Framed as “the most efficient way to meet the accelerating demand for AI computing power” and […]

Reactive IT operations are obsolete. Cloud, DevOps, and platform engineering require proactive, automation-driven teams. Self-service delivery models have transformed IT from ticket-based support to product-oriented platforms. To stay relevant, administrators must become platform engineers who are experts in automation, coding, and cross-domain collaboration. This report equips technology leaders with a clear roadmap to lead this transition and build resilient, high-velocity operations.

On January 14, Verizon experienced a major nationwide cellular service disruption that left subscribers across the country facing significant connectivity issues. Although outage report numbers climbed into the hundreds of thousands, this visible count represents only a small portion of the true impact. As is typical in large‑scale outages, many customers who encountered problems never […]