
As more enterprises move away from legacy systems, the demand for scalable, secure, and future-ready infrastructure has never been higher. In response, the best cloud infrastructure modernization companies are helping organizations streamline operations, cut latency, and prepare for workloads driven by AI, analytics, and automation.
These top 10 firms are not only reshaping how infrastructure is deployed but also how it adapts to evolving business needs. Whether you're modernizing core systems or building cloud-native architectures from scratch, the right partner can accelerate progress without adding complexity. Let’s break them down.
1. Future Processing
Rating: 4.7 on Clutch
Location: Gliwice, Poland
Company size: 501-1K
Founded: 2000
Future Processing is a technology consultancy known for its structured Cloud & Data Modernization Framework, which supports organizations through every phase of migrating, modernizing, and optimizing their cloud infrastructure. Their framework combines cloud-native architecture, process automation, and data strategy to help clients achieve operational resilience and performance gains. The company holds ISO 27001 and ISO 9001 certifications, reflecting its commitment to quality and security across projects. It serves a wide range of sectors including healthcare, finance, insurance, and utilities, with specialized solutions tailored to regulatory and data-intensive environments.
Key services:
- Cloud migration and modernization
- Infrastructure optimization and automation
- Big data and AI solutions
- Cloud-native architecture consulting
Pricing: Project-based
Best for: Enterprises and mid-sized firms seeking end-to-end digital modernization with strong compliance and data governance needs
2. Amazon Web Services (AWS)
Rating: 4.6 on Gartner
Location: Seattle, USA
Company size: 10K+ employees
Founded: 2006
AWS continues to dominate cloud infrastructure with a broad set of services and the largest global cloud footprint. The company is known for innovation in compute, storage, and AI-driven infrastructure solutions. AWS operates 105 Availability Zones within 33 geographic regions, with announced plans for 18 more zones across six additional regions. Its modernization capabilities include services like AWS Migration Hub, Application Discovery Service, and Graviton-based EC2 instances, which help enterprises reduce legacy system costs and improve workload performance during cloud transitions.
Key services:
- Elastic Compute Cloud (EC2)
- AWS Lambda (serverless)
- AWS Outposts for hybrid environments
- Cloud infrastructure automation tools
Pricing: Custom enterprise quotes; service usage typically starts from $0.0116/hour (compute), $0.023/GB/month (storage), and partner or MAP migration costs from $15,000+
Best for: Large enterprises and tech-driven companies needing high-performance infrastructure
3. Microsoft Azure
Rating: 4.5 on Gartner
Location: Redmond, USA
Company size: 10K+ employees
Founded: 2010 (Azure launch)
Microsoft Azure delivers a strong hybrid and enterprise-grade cloud platform, offering extensive PaaS and IaaS services. With significant investments in AI and global data center expansion, Azure maintains its role as one of the best cloud infrastructure modernization companies for organizations requiring enterprise-level governance and compliance. Azure’s modernization tools—such as Azure Migrate, Azure Arc, and Azure Monitor—enable seamless migration, real-time visibility, and centralized control over distributed cloud environments.
Key services:
- Azure Kubernetes Service (AKS)
- Azure Arc (multi-cloud)
- Hybrid cloud deployments
- Infrastructure-as-code via Bicep and ARM templates
Pricing: Azure Migrate tooling is free for the first 180 days per server; after that, pricing starts at ~$25/month per instance. Additional Azure services (compute, storage, networking) are billed separately—e.g., virtual machines from $0.008/hour and storage from $0.0184/GB/month.
Best for: Enterprises modernizing legacy systems within Microsoft ecosystems, especially those needing hybrid deployments and centralized governance
4. Google Cloud Platform (GCP)
Rating: 4.7 on Capterra
Location: Mountain View, USA
Company size: 10K+ employees
Founded: 2008
Google Cloud has gained traction with its focus on AI, machine learning, and data-intensive infrastructure. With a 35% YoY growth rate, GCP is among the best cloud infrastructure modernization companies for analytics-driven enterprises. The platform also emphasizes open-source compatibility and multi-cloud interoperability. Its modernization portfolio includes tools like Migrate for Compute Engine, Datastream for real-time replication, and BigQuery for serverless data warehousing, enabling streamlined legacy migration and advanced data transformation at scale.
Key services:
- Google Kubernetes Engine (GKE)
- Anthos hybrid and multi-cloud
- BigQuery for data warehousing
- Cloud Run and App Engine
Pricing: Compute from $0.070/hour, storage from $0.020/GB/month; enterprise migration tools included, with optional partner costs
Best for: Analytics-driven enterprises modernizing data infrastructure with AI, ML, and hybrid cloud needs
5. IBM Cloud
Rating: 4.5 on Gartner
Location: Dallas, USA
Company size: 10K+ employees
Founded: 2005
IBM Cloud combines hybrid cloud with AI-powered automation and is designed specifically for industries with complex compliance needs. It integrates tightly with Red Hat OpenShift and is widely used in sectors like finance and healthcare for regulated enterprises. The platform includes built-in compliance frameworks developed in collaboration with over 100 financial institutions, supports confidential computing, and offers client-controlled encryption models.
Key services:
- IBM Cloud Satellite
- Red Hat OpenShift on IBM Cloud
- Confidential computing
- Edge infrastructure solutions
Pricing: Custom quotes for modernization; compute from $0.038/hour, storage from $0.02/GB/month
Best for: Regulated industries needing secure, compliant hybrid modernization with OpenShift integration
6. Oracle Cloud Infrastructure (OCI)
Rating: 4.6 on Capterra
Location: Austin, USA
Company size: 10K+ employees
Founded: 2016
OCI provides a broad range of services for enterprise workloads with a focus on performance and price predictability. Oracle has emphasized its Exadata infrastructure for high-performance computing and continues to support hybrid and multi-cloud strategies. In 2025, OCI added support for dedicated regions and sovereign cloud zones, giving large organizations more control over data residency and latency.
Key services:
- Autonomous Database
- Oracle Exadata X11M
- OCI FastConnect
- Bare metal cloud servers
Pricing: Compute from $0.038/OCPU/hour, storage from $0.0255/GB/month; free migration tools; specialized services billed separately
Best for: Enterprises modernizing Oracle workloads needing high performance and strict data residency controls
7. Dell Technologies
Rating: 4.7 on Gartner
Location: Round Rock, USA
Company size: 10K+ employees
Founded: 1984
Dell Technologies plays a vital role in multi-cloud infrastructure through its APEX portfolio and long-standing partnerships with VMware and Microsoft. Its offerings support enterprise IT modernization across on-premises, hybrid, and public cloud ecosystems. In 2025, Dell expanded APEX to include fully integrated platforms for Azure and Red Hat OpenShift, allowing organizations to deploy containerized workloads with unified automation.
Key services:
- Dell Apex (as-a-service infrastructure)
- Hyper-converged infrastructure
- Private cloud solutions
- Multi-cloud data services
Pricing: $25–$47 per instance/month; large deployments can exceed $285K/month
Best for: Enterprises modernizing hybrid or multi-cloud setups with VMware, Azure, or OpenShift integration
8. Cisco Systems
Rating: 4.7 on Gartner
Location: San Jose, USA
Company size: 10K+ employees
Founded: 1984
Cisco continues to evolve its infrastructure modernization services by integrating advanced networking with AI-powered cloud operations. In 2025, it introduced next-generation smart switches with embedded DPUs, enabling real-time processing of security and telemetry tasks at the network level. Its Intersight platform now supports broader multi-cloud infrastructure automation, offering centralized management for on-premises and public cloud assets. These updates strengthen Cisco’s position as a core enabler of intelligent, secure, and scalable data center environments.
Key services:
- Cisco Meraki cloud networking
- Hybrid cloud management
- AI-based infrastructure analytics
- Cloud-native application security
Pricing: Project-based
Best for: Enterprises modernizing hybrid or multi-cloud networks with AI-driven automation and centralized control
9. CoreWeave
Rating: 4.2 on Gartner
Location: New York, USA
Company size: 501-1K employees
Founded: 2017
CoreWeave specializes in high-performance compute infrastructure optimized for AI and machine learning workloads. It has scaled rapidly with new data centers across North America and the UK and secured over $2.3 billion in funding from institutional investors. Its infrastructure supports elastic provisioning of GPUs, ideal for large-scale training and inference operations. As one of the best cloud infrastructure modernization companies for GPU-accelerated applications, CoreWeave provides tailored environments for deep learning, VFX rendering, and quantitative research.
Key services:
- AI infrastructure hosting
- GPU and TPU cloud compute
- Private cloud solutions
- HPC-as-a-service
Pricing: Project-based
Best for: Organizations requiring high-performance GPU infrastructure for AI and machine learning workloads
10. VAST Data
Rating: 4.8 on Gartner
Location: New York, USA
Company size: 501-1K employees
Founded: 2019
VAST Data provides a unified platform for managing high-scale unstructured data across edge, core, and cloud environments. Its disaggregated architecture separates compute from storage, enabling flexible scaling and high throughput. As of 2025, the company manages over eight exabytes of licensed capacity and has surpassed $1 billion in software bookings. With operations across North America, Europe, Asia, and the Middle East, VAST supports demanding AI, analytics, and research workloads with consistent performance and nearly 90% gross margins.
Key services:
- Universal Storage platform
- Disaggregated shared-everything architecture
- AI data pipeline optimization
- Multi-protocol storage interfaces
Pricing: Project-based
Best for: Enterprises handling large-scale unstructured data for AI, analytics, and research workloads
How to Choose the Right Cloud Infrastructure Modernization Partner
When evaluating the best cloud infrastructure modernization companies for your business, focus on alignment with your technical and operational requirements. Here are the key points to consider:
- Assess your current architecture. Map out which systems need to be rehosted, refactored, or retired. Modernization partners with experience in handling legacy systems—like those used in finance or manufacturing—can reduce friction during transitions.
- Match the provider to your industry needs. Some vendors excel in compliance-heavy sectors, while others focus on high-performance environments like AI training or real-time analytics. Make sure their portfolio reflects success in your industry.
- Look for multi-cloud and hybrid flexibility. If you rely on more than one cloud or plan to, prioritize providers that support consistent tooling, orchestration, and governance across platforms.
- Prioritize built-in security and compliance. Certifications like ISO 27001, data residency controls, and encryption models you can manage directly are non-negotiable in regulated environments.
- Check for ecosystem strength and tooling. Evaluate their integration capabilities, available automation frameworks, documentation quality, and customer support responsiveness.
Wrapping Up
In 2025, modernizing cloud infrastructure demands more than generic solutions. It calls for partners who can support migration at scale, enable architectural flexibility, and meet compliance standards without slowing innovation. The best cloud infrastructure modernization companies stand out because they bring domain-specific insight, proven tooling, and the ability to handle complex transformations across distributed environments.
Choosing the right provider means aligning capabilities with workload demands and long-term strategy. From data-heavy enterprises to AI-native platforms, the right fit minimizes risk and maximizes performance. And if there’s one truth in tech that still holds, it’s this: smooth deployments rarely happen by accident—they’re the result of picking the right partner from the start.
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