Companies that use IBM Cloud

Analyzed and validated by Henley Wing Chiu
All devops IBM Cloud

IBM Cloud We detected 318 companies using IBM Cloud. The most common industry is Software Development (18%) and the most common company size is 2-10 employees (35%). We find new customers by discovering URLs with known URL patterns through web crawling or modifications to subprocessor lists. Note: We only track companies that use IBM Cloud for backend services (for their API, applications, monitoring, etc). We do not track companies that host their marketing website on IBM Cloud

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Company Employees Industry Country Region Usage Start Date
Increment P Corporation - Global map business provider source 501–1,000 IT Services and IT Consulting
JP Japan
Asia
Frame It Easy source 51–200 Manufacturing
US United States
North America
Mikutech source 2–10 Software Development
CA Canada
North America
Navegg source 11–50 Technology, Information and Internet
BR Brazil
South America
Interactive Advisors source 11–50 Financial Services
GB United Kingdom
Europe
The Compleat Food Group source 1,001–5,000 Food and Beverage Manufacturing
GB United Kingdom
Europe
Oficina5 source 51–200 Information Technology & Services
BR Brazil
South America
Red Rake Gaming source 51–200 Gambling Facilities and Casinos
ES Spain
Europe
Ogilvy CommonHealth Worldwide LLC source 501–1,000 Medical Practices N/A N/A
Onomondo source 51–200 Software Development
DK Denmark
Europe
OnShift source 201–500 Software Development
US United States
North America
OPB (Ontario Pension Board) source 201–500 Financial Services
CA Canada
North America
Optimus Fleet source 51–200 Software Development
US United States
North America
oVirt source 51–200 Software Development
US United States
North America
Owly Labs source 2–10 IT Services and IT Consulting
CZ Czech Republic
Europe
Payout a.s. source 2–10 N/A
SK SK
Europe
Pipl source 51–200 Computer and Network Security
US United States
North America
Pixowl source 11–50 Entertainment
US United States
North America
PointOS source 11–50 Software Development
US United States
North America
Ponoko source 11–50 Manufacturing
US United States
North America
Showing 1-20

Market Insights

🏢 Top Industries

Software Development 43 (18%)
IT Services and IT Consulting 27 (11%)
Technology, Information and Internet 17 (7%)
Financial Services 10 (4%)
Information Technology & Services 8 (3%)

📏 Company Size Distribution

2-10 employees 111 (35%)
11-50 employees 74 (23%)
51-200 employees 48 (15%)
201-500 employees 31 (10%)
1,001-5,000 employees 17 (5%)

📊 Who usually uses IBM Cloud and for what use cases?

Source: Analysis of job postings that mention IBM Cloud (using the Bloomberry Jobs API)

Job titles that mention IBM Cloud
i
Job Title
Share
Director of Information Technology
18%
Director of DevOps
14%
Director of Cloud/Infrastructure
13%
Cloud Engineer/Architect
11%
My analysis shows that IBM Cloud purchasing decisions are driven primarily by IT leadership roles, with Director of Information Technology positions representing 18% of the sample, followed closely by Director of DevOps at 14% and Director of Cloud/Infrastructure at 13%. Strategic partnership roles like VP of Partner Sales account for 9%, indicating IBM Cloud's go-to-market strategy relies heavily on channel relationships and system integrator ecosystems. These leaders are hiring for capabilities around multi-cloud management, hybrid cloud architectures, and modernization of legacy applications, particularly focusing on containerization and migration from on-premises environments.

The day-to-day users are Cloud Engineers, DevOps specialists, and Site Reliability Engineers who represent 11% of postings. These practitioners work extensively with IBM Cloud Pak for Data, Watson AIOps, Netcool, and containerization technologies. I noticed significant emphasis on automation through Ansible, Terraform, and Kubernetes, with users building CI/CD pipelines, managing observability platforms, and supporting application migrations. Several roles specifically mention IBM iSeries and Power systems, highlighting IBM Cloud's strength in supporting legacy infrastructure modernization.

The pain points center on transformation and modernization challenges. Multiple postings mention needing to "board our applications on IBM cloud by 2026" and seeking expertise in "containerization of legacy applications." Companies want "scalable, secure, and reliable cloud platform" capabilities while managing "hybrid, Multi-cloud deployments providing consistent view." The recurring theme is organizations using IBM Cloud as a bridge between traditional enterprise infrastructure and modern cloud-native architectures, particularly valuing its integration with existing IBM ecosystem tools.

👥 What types of companies use IBM Cloud?

Source: Analysis of Linkedin bios of 318 companies that use IBM Cloud

Company Characteristics
i
Trait
Likelihood
Company Size: 10,001+
14.9x
Company Size: 1,001-5,000
10.6x
Industry: Software Development
8.6x
Country: Brazil
6.3x
Industry: Technology, Information and Internet
5.3x
Industry: IT Services and IT Consulting
5.1x
I noticed IBM Cloud attracts an incredibly diverse range of operational businesses solving real-world problems. These aren't predominantly tech startups building the next social app. Instead, I see pension administrators managing billions in retirement funds, dental practice chains coordinating care across locations, food manufacturers supplying major retailers, healthcare revenue cycle companies processing hundreds of millions of transactions, and transportation companies managing fleets and logistics. There are also niche software providers building industry-specific tools like roofing management systems, jewelry retail platforms, and towing dispatch software.

The maturity level skews heavily toward established, revenue-generating businesses rather than early-stage startups. I see companies with 1,000 to 10,000 employees, firms managing billions in assets, organizations with decades of operating history, and businesses serving thousands or millions of customers. Even smaller companies typically describe substantial client bases or operational scale. The funding data shows relatively few are venture-backed, and many appear to be privately held or PE-backed operational businesses.

🔧 What other technologies do IBM Cloud customers also use?

Source: Analysis of tech stacks from 318 companies that use IBM Cloud

Commonly Paired Technologies
i
Technology
Likelihood
139.5x
93.8x
74.8x
58.1x
54.4x
51.7x
I noticed that IBM Cloud attracts enterprise companies dealing with complex integration challenges and legacy infrastructure. The strong presence of MuleSoft Anypoint Platform and Windows Server tells me these are organizations managing hybrid environments where they need to connect modern cloud services with existing on-premise systems. They're likely mid-to-large enterprises undergoing digital transformation rather than cloud-native startups.

The pairing of MuleSoft with IBM Cloud makes perfect sense for companies running sophisticated integration architectures. They need to orchestrate data flows between multiple systems, and IBM Cloud provides the enterprise-grade infrastructure while MuleSoft handles the connectivity layer. The high correlation with ASP.NET and Windows Server reinforces this pattern. These companies are running Microsoft-based applications and choosing IBM Cloud as a more enterprise-focused alternative to pure-play hyperscalers. The presence of Grafana and Metabase together suggests these teams are building custom monitoring and analytics solutions, likely because they have unique operational requirements that off-the-shelf solutions don't address.

The full stack reveals these are sales-led, enterprise organizations in growth or transformation stages. They're not early-stage startups using simple, product-led tools. Instead, they're established companies with complex requirements, compliance needs, and IT departments large enough to manage integration platforms and custom monitoring solutions. The investment in tools like MuleSoft indicates significant IT budgets and a focus on operational efficiency over rapid experimentation.

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