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Salesforce

How the 9 leading AI models rank Salesforce in cloud providers.

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12th
of 18 in category
15
Recommendation score
2 / 9
AI models agree

How each AI ranks it

average position · verbatim answers kept
ChatGPTChatGPTnot ranked
ClaudeClaude7th

Best Cloud Providers (2026)

The "Big Three" Hyperscalers — dominate ~63% of the market

1. Amazon Web Services (AWS) — The market leader AWS holds 28% market share, and together with Azure and Google Cloud controls 63% of the global cloud infrastructure market. AWS's annual cloud revenue of roughly $112 billion dwarfs the tier-two providers, whose entire businesses are smaller than a single quarter of AWS sales. It's the go-to choice for broadest service catalog, maturity, and enterprise reliability. Notably, AWS's growth rate in Q1 2026 was the fastest in 15 quarters — a sign of reacceleration rather than maturity.

2. Microsoft Azure — Best for enterprise/Microsoft ecosystems Holding roughly 20-21% share, Azure and GCP are gaining ground, primarily because AI workloads disproportionately flow to Azure due to its OpenAI partnership. Microsoft's deep integration of Azure with OpenAI continues to attract heavy enterprise and developer workloads. It's the top pick for businesses already using Microsoft 365, Windows Server, or Active Directory.

3. Google Cloud (GCP) — Fastest-growing, best for AI/data Google Cloud is the fastest-growing hyperscaler, posting 63% year-over-year revenue growth in Q1 2026 (to $20 billion) — the widest growth-rate gap between providers in three years. This growth is driven by GCP's Gemini and TPU infrastructure attracting AI workloads. Best known for Kubernetes, BigQuery, and AI/ML tooling.

Strong Alternatives / Tier-Two Providers

  • Oracle Cloud Infrastructure (OCI) — Oracle is expanding far faster than AWS (52% growth), a sign of how AI demand is reshuffling momentum. Popular for database-heavy enterprise workloads.
  • IBM Cloud, Alibaba Cloud, Salesforce, Tencent, Huawei Cloud — these each cluster between 2 and 4 percent market share, often chosen for specific regional or industry needs (e.g., Alibaba dominates in China).

Rising "Neocloud" Players (AI-focused)

If you need raw GPU power for AI training, keep an eye on: CoreWeave, Nebius, Crusoe, and even OpenAI/Anthropic's own infrastructure. CoreWeave has exploded from a niche AI GPU provider into a near top-10 global cloud vendor, generating over $1 billion in quarterly cloud revenue. Five neocloud companies have now entered the top 30 cloud providers globally, with a combined estimated 5% share of total cloud infrastructure revenue.

Budget-Friendly / SMB Options

  • Hetzner — Popular in Europe for cost-effective VPS/dedicated servers; Hetzner posted 23.8% growth as Europe becomes cloud's fastest-growing region.
  • DigitalOcean, Linode (Akamai), Vultr — Great for developers/startups wanting simple, affordable cloud compute without hyperscaler complexity.
  • Kamatera — celebrated for its exceptional customizability, particularly appealing to businesses in the US market, with flexible virtual server solutions.

🎯 Quick Recommendation Guide

NeedBest Pick
Enterprise/general-purpose, most mature ecosystemAWS
Microsoft-integrated businessAzure
AI/ML, data analytics
Gemininot ranked
PerplexityPerplexitynot ranked
DeepSeekDeepSeeknot ranked
GrokGrok7th

The top cloud providers by market share and actual usage are AWS, Microsoft Azure, and Google Cloud (the "Big Three"), which together control roughly 63-67% of the global cloud infrastructure services market.

Recent data from sources like Synergy Research Group (as of Q1-Q2 2026) consistently rank them as:

  • AWS (Amazon Web Services): ~28-30% market share. It remains the leader in revenue, customer base (over 1.5 million active customers in some reports), and broad adoption. It offers the widest range of services (compute, storage, databases, AI/ML tools like SageMaker, serverless options like Lambda, etc.), making it the default for many startups, enterprises, and developers.
  • Microsoft Azure: ~20-24% market share. It has strong momentum, particularly in enterprises already using Microsoft tools (Windows, Office 365, Active Directory integration). It excels in hybrid cloud, AI (via OpenAI partnership), and compliance-heavy industries.
  • Google Cloud (GCP): ~13-15% market share. It is often the fastest-growing of the three recently, driven by strengths in data analytics (BigQuery), AI/ML (Vertex AI, Gemini), Kubernetes/container orchestration, and open-source friendliness. It appeals to data-intensive or AI-focused workloads.

These figures come from infrastructure spending/IaaS+PaaS metrics and reflect real enterprise and organizational usage. AWS leads in overall popularity metrics like active workloads and developer surveys, while Azure and Google Cloud are close behind in many enterprise contexts (e.g., Flexera reports show high usage rates across all three).

Other Notable Providers

Smaller players hold the remaining ~33-37% and are used in specific scenarios:

  • Oracle Cloud (OCI): ~3-4% — Growing quickly for enterprises with existing Oracle databases/workloads; competitive pricing and performance for certain IaaS needs.
  • Alibaba Cloud: ~4% — Dominant in Asia/China; used by companies with regional operations there.
  • Niche or specialized options include IBM Cloud, Salesforce, Tencent/Huawei Cloud (regional), and emerging "neoclouds" like CoreWeave (AI/GPU-focused).

Key Takeaways on Usage

  • "Best" depends on your needs: AWS for versatility and ecosystem size; Azure for Microsoft-centric environments or hybrid setups; Google Cloud for analytics, AI innovation, or cost/performance on specific workloads. Many organizations use multiple clouds (multi-cloud strategy).
  • Market growth is strong (often 25-43% YoY in recent quarters), fueled by AI demand, with the Big Three capturing most of the expansion.
  • Real-world adoption favors the hyperscalers due to maturity, global regions, compliance certifications, partner ecosystems, and talent availability.

For the latest or region-specific advice, check reports from Synergy, Gartner, or Canalys, or evaluate based on your workload (e.g., via free tiers or PoCs).

CopilotCopilotnot ranked
Google AIGoogle AInot ranked
AI ModeGoogle AI Modenot ranked
Open a row for the verbatim answer that AI model gave, captured during the monthly refreshEvery captured answer →

How this is measured

Salesforce’s AI Recommendation Score (15/100) reflects how widely and often the 9 AI models recommend it for cloud providers: share of voice, mention rate and how early the AI models name it. Cited sources are published as receipts, never as a score input. Every monthly refresh asks each AI model the same buyer question once, and the exact run count behind every edition is published in its JSON record. Placement is determined solely by AI recommendation data; it reflects what AI recommends and is not an endorsement by CiteHawk. Read the full methodology →

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Rankings are computed from AI responses only · Positions are not for sale