We detected 1,637 customers using Ivanti Neurons, 6 companies that churned or ended their trial, and 4 customers with estimated renewals in the next 3 months. The most common industry is Hospitals and Health Care (9%) and the most common company size is 1,001-5,000 employees (31%). Our methodology involves discovering URLs with known URL patterns through web crawling, certificate transparency logs, or modifications to subprocessor lists.
About Ivanti Neurons
Ivanti Neurons provides a cloud-based AI-powered platform that aggregates device, support, and security data to proactively reduce risk, improve IT productivity, and reduce operational costs through unified analytics, automation, and scalable services across IT and security operations.
📊 Who in an organization decides to buy or use Ivanti Neurons?
Source: Analysis of 100 job postings that mention Ivanti Neurons
Job titles that mention Ivanti Neurons
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Based on an analysis of job titles from postings that mention Ivanti Neurons.
Job Title
Share
IT Support Specialist/Service Desk Analyst
23%
System Administrator
19%
ITSM Administrator/Specialist
18%
Systems Engineer
13%
My analysis reveals that Ivanti Neurons purchasing decisions primarily sit with IT leadership roles like Infrastructure Team Leads, AVP IT Service Management, and Product Owners for End User Platforms. These buyers are focused on modernizing service delivery through automation, reducing manual processes, and implementing ITIL-aligned frameworks. They're hiring for technical depth in ITSM administration, which signals they're building long-term operational capacity rather than just implementing a tool.
The day-to-day users are predominantly IT support teams, service desk analysts, and ITSM administrators who manage the full incident lifecycle. I noticed these practitioners are configuring workflows, managing asset inventories, building service catalogs, and integrating Ivanti Neurons with other enterprise systems. They're working across ITSM, ITAM, Discovery, and Spend Intelligence modules to maintain configuration management databases and ensure SLA compliance through automated escalations.
The pain points center on operational efficiency and automation. Companies repeatedly mention goals like "reduce ticket volumes, resolution times, and repetitive tasks" and "leverage AI-powered automation to enhance IT service delivery." One posting specifically seeks someone to "apply AIOps principles to reduce alert noise, detect anomalies, and predict potential outages." Another emphasizes the need to "proactively monitor and manage IT services" while "minimizing manual processes." These organizations are clearly trying to transform reactive support models into proactive, data-driven operations that deliver measurable business value.
🔧 What other technologies do Ivanti Neurons customers also use?
Source: Analysis of tech stacks from 1,637 companies that use Ivanti Neurons
Commonly Paired Technologies
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Shows how much more likely Ivanti Neurons customers are to use each tool compared to the general population. For example, 287x means customers are 287 times more likely to use that tool.
I analyzed the tech stack correlations and these companies are clearly large, mature enterprises with complex compliance and workforce management needs. The combination of Workday, Navex One, and Proofpoint Security Training tells me these organizations manage substantial employee bases with serious regulatory obligations. They're investing heavily in the infrastructure that Fortune 500 companies need to operate at scale.
The pairing of Ivanti Neurons with Rubrik is particularly revealing. Rubrik handles enterprise data protection and recovery, which means these companies are treating IT infrastructure and data resilience as mission-critical. When I see this alongside Ivanti Neurons for IT asset management and automation, it suggests organizations running extensive hybrid environments where maintaining visibility and control across thousands of endpoints is essential. The Navex One correlation reinforces this since it's an ethics and compliance platform, these companies operate in heavily regulated industries like healthcare, finance, or government contracting where audit trails and risk management are non-negotiable.
The presence of Qualtrics and Adobe Audience Manager adds another dimension. These aren't just operationally complex companies, they're also sophisticated about customer experience and data-driven decision making. They have the budget and organizational maturity to invest in experience management and audience segmentation at scale. This is the full enterprise stack, not a startup cobbling together point solutions.
👥 What types of companies is most likely to use Ivanti Neurons?
Source: Analysis of Linkedin bios of 1,637 companies that use Ivanti Neurons
Company Characteristics
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Shows how much more likely Ivanti Neurons customers are to have each trait compared to all companies. For example, 2.0x means customers are twice as likely to have that characteristic.
Trait
Likelihood
Industry: Banking
16.9x
Company Size: 1,001-5,000
16.6x
Company Size: 10,001+
9.7x
Industry: Government Administration
6.3x
Company Size: 501-1,000
3.5x
Industry: Financial Services
2.7x
I noticed that Ivanti Neurons customers span an incredibly diverse range of sectors, but they share a common thread: they're organizations with complex operational infrastructures. These aren't simple businesses. I'm seeing major healthcare systems like Memorial Sloan Kettering and Emory Healthcare, large financial institutions like BNY and Equifax, critical infrastructure operators like transit authorities and utilities, government agencies, and manufacturing companies. What unites them is scale and operational complexity, whether they're "managing it, moving it and keeping it safe" like BNY or running "more than 15,000 services a week" like Metro Trains Melbourne.
These are mature, established enterprises. The signals are unmistakable: most have 1,000-plus employees, many are publicly traded or backed by substantial funding, and they reference decades of operating history. I'm seeing very few startups here. Instead, these organizations have reached the stage where operational efficiency, security, and managing distributed infrastructure become critical business challenges. They're dealing with regulatory compliance, legacy systems, and the need to serve large customer or citizen populations reliably.
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