Cloud Research Service

ABI Research’s Cloud Research Service guides providers and implementers across hybrid, sovereign, and neocloud domains, covering infrastructure trends, regulatory needs, key drivers, and real-world use cases.

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Cloud Coverage Areas

ABI Research’s Cloud Research Service provides in-depth insights for technology providers and implementers navigating the rapidly evolving cloud ecosystem. It spans hybrid, sovereign, and neocloud (Graphics Processing Unit (GPU)-based) environments, while also examining the underlying data center infrastructure that powers them. The research service explores market drivers, regulatory pressures, architectural evolution, and emerging technologies—including elastic compute and quantum computing—that are reshaping cloud strategies.

In addition to tracking vendor positioning and ecosystem shifts, it delivers real-world use cases and implementation insights to inform both supply- and demand-side decision-making. This research equips stakeholders to align with next-generation cloud opportunities and infrastructure transformation.

Cloud Infrastructure & Deployment Trends

Hybrid, Sovereign, and Neocloud (GPU Cloud) Architecture Trends
Sovereign Cloud Requirements and Regional Policy Impacts
Data Residency and Compliance Considerations in Cloud Architecture
Emerging Regulatory Models for Cross-Border and Federated Cloud Services
Quantum Computing in the Cloud: Use Cases and Roadmap
Neocloud Platforms and GPU-as-a-Service Market Evolution
Hardware Acceleration, Virtualization, and Disaggregated Infrastructure Trends
Elastic Compute Adoption and Infrastructure Impacts
Deployment Models: Multi-Cloud, Hybrid Cloud, and Cloud Adjacent Architectures
Workload Optimization and Distribution Strategies Across Cloud Types
Cloud Adoption Drivers by Vertical and Region
Cloud Use Case Taxonomy: Artificial Intelligence (AI), High-Performance Computing (HPC), Analytics, and Industry-Specific Workloads

Cloud Vendor & Ecosystem Assessments

Competitive Assessments: Hyperscalers, Sovereign Cloud Providers, and Neocloud Vendors
Strategic Positioning of Data Center Operators and Cloud Service Providers
Partner Ecosystems: Integrators, Telcos, and Specialist Infrastructure Vendors
Cloud Go-to-Market (GTM) Strategies: Vertical Targeting, Service Packaging, and Regional Plays

Cloud Research Powers Technology Innovation & Implementation

For Innovators

Identify emerging cloud models such as sovereign, neocloud (GPU-based), and elastic compute to inform product and service innovation.
Support infrastructure planning through insights into data center design, workload distribution, and scalability strategies.
Highlight differentiation opportunities across compute, storage, networking, and orchestration layers.
Inform technology roadmaps with analysis on quantum computing readiness, hardware acceleration, and next-gen virtualization.
Monitor regulatory and compliance trends to help build solutions aligned with data sovereignty and regional cloud policies.
Analyze competitive positioning across hyperscalers, neocloud providers, and infrastructure vendors to guide strategic decisions.
Surface high-impact use cases and vertical-specific adoption drivers to align technology development with customer needs.
Provide actionable insights into real-world implementations to accelerate product development and feature prioritization.
Connect cloud trends to adjacent innovations in AI, connectivity, and distributed computing for integrated solution strategies.
Enable GTM strategy development by mapping buyer needs, deployment preferences, and regional demand signals.

For Implementers

Assess cloud deployment models to match business needs with public, private, sovereign, and neocloud options.
Evaluate infrastructure readiness for adopting elastic and GPU-based compute, including integration with existing systems.
Understand regulatory and compliance impacts to ensure secure and compliant cloud strategies across regions and industries.
Explore real-world use cases to benchmark adoption patterns, success factors, and technology combinations across verticals.
Benchmark vendor capabilities to support partner selection, contract negotiation, and risk mitigation.
Map workload distribution strategies across data centers and cloud environments for optimal performance and cost efficiency.
Gain insights into emerging technologies such as quantum computing and next-gen virtualization to prepare for future scalability.
Align cloud initiatives with business outcomes by connecting technology choices to Key Performance Indicators (KPIs) like agility, cost savings, and innovation potential.
Navigate organizational change and adoption barriers through analysis of implementation best practices and stakeholder alignment.

Our Cloud Research Helps Solve Real Business Challenges For Key Stakeholders

What challenges can we help you solve?

Evaluate future demand for compute acceleration (GPUs, Field Programmable Gate Arrays (FPGAs), quantum, etc.)

Identify key workloads driving cloud-based chip adoption

Help align silicon innovation to cloud infrastructure needs and use cases

What key questions can we help you answer?

Which workloads and industries are driving demand for compute acceleration?

How should chip vendors position for elastic, AI-native, and quantum cloud infrastructure?

What are the implications for data center design and scaling?

How does AI inference/training shape processor architecture and performance requirements?

What role do chip vendors play in enabling efficient AI infrastructure across clouds?

What challenges can we help you solve?

Surface vertical- and workload-specific cloud use cases

Provide clarity on regulatory and data sovereignty trends

Inform GTM strategy through buyer needs, compliance drivers, and cloud adoption barriers

Profile positioning across hybrid, sovereign, and neocloud ecosystems

What key questions can we help you answer?

How are data sovereignty and compliance shaping cloud architecture?

What are the most impactful cloud use cases across verticals?

How should solution providers align GTM with cloud maturity and buying behaviors?

How does AI-driven data growth affect data management, integration, and governance?

What opportunities exist for enabling AI/ML pipelines across hybrid and sovereign clouds?

What challenges can we help you solve?

Identify emerging cloud models and align infrastructure investments

Support development of hybrid, sovereign, and elastic compute offerings

Inform data center and workload distribution strategies

Guide GTM strategies for vertical-specific adoption

What key questions can we help you answer?

What is the future of hybrid, sovereign, and neocloud architectures?

Where are the TAM and growth opportunities by region and vertical?

How are AI, elastic, and quantum compute reshaping cloud demand?

What cloud strategies are required to support Generative Artificial Intelligence (Gen AI) workloads at scale?

How should hyperscalers balance AI infrastructure with traditional cloud services?

What challenges can we help you solve?

Highlight differentiators in GPU-based cloud and elastic compute platforms

Identify high-value use cases (AI/Machine Learning (ML), HPC, rendering)

Support GTM efforts by connecting compute performance to business outcomes

Benchmark against hyperscalers and niche rivals

What key questions can we help you answer?

Which verticals demand GPU/cloud-native acceleration?

How can providers differentiate from hyperscalers in AI-focused cloud services?

What GTM and deployment models resonate across industries and regions?

How does Gen AI influence pricing, resource allocation, and capacity planning?

Where are the opportunities to host or fine-tune proprietary models for enterprise clients?

Meet The Analysts You'll Work With

ABI Research's team of analysts publish groundbreaking research often years before other tech advisory firms, empowering our clients to stay ahead of their markets and their competitors.

Ben Chan

Research Analyst

Dominique Bonte

Vice President

Sam Bowling

Research Analyst

Stuart Carlaw

Chief Research Officer

Leo Gergs

Principal Analyst

Reece Hayden

Principal Analyst

Michael Larner

Distinguished Analyst

Ryan Martin

Senior Research Director

Dimitris Mavrakis

Senior Research Director

Malik Saadi

Vice President

Jake Saunders

Vice President