If you’re hunting for CX infrastructure research that actually helps you run a more reliable contact center, you’re in the right place. Reliability is no longer just an IT concern. It’s a customer trust concern. It’s a revenue concern. And, in many organizations, it’s the difference between a calm day and a full-blown “all hands on deck” incident. This curated roundup pulls together five high-signal CX technology reports and ITSM reports that explain what’s changing in service management maturity, downtime risk, and the infrastructure reality behind modern customer experiences.
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Report 1: Cisco 2025 Networking Research
Cisco’s research is extremely relevant to CX reliability because it tackles the environment CX now lives inside. That means more cloud, more AI workloads, more latency-sensitive traffic, and the business impact when the network or connectivity layer degrades.
What this report reveals
- Outages are common. The report states that 77% of surveyed leaders faced major outages in the past two years.
- Revenue impact is a top storyline. More than half of respondents said revenue was the business area most impacted by disruptions.
- Reliability is getting harder as AI ramps up. The report frames AI-driven traffic as faster, more dynamic, and more sensitive to latency and interruptions.
Why it matters for contact center reliability
Your CX stack can be “fine” while the customer experience is not. If network congestion, misconfigurations, security events, or routing issues spike, you get the classic symptoms: dropped calls, laggy agent desktops, slow CRM loads, and broken authentication flows.
This report is useful when you need to explain to non-technical stakeholders why reliability is not just “an app issue.” It’s the full delivery path.
Report 2: Atlassian “State of AI in Incident Management”
This report is a goldmine for anyone building the operational muscle behind CX reliability. As one of the key ITSM reports, it focuses on incident management behavior, maturity, and how teams are adopting AI and automation in incident workflows.
What this report reveals
- Proactive incident practices are rising. The report shows 75% of organizations are classified as “proactive responders” in 2025, compared with just 35% in 2020.
- AI is becoming part of incident discovery. It states 78% of respondents used AI to discover incidents.
- Visibility is still a major pain point. The report highlights lack of full visibility across infrastructure as the biggest pain point, and shows it increasing year over year in the survey.
- Core metrics still rule. MTTR, MTTA, and related response metrics remain central for measuring success after incidents.
Why it matters for CX operations management
Contact center failures are rarely single-system failures. They are chain failures. A change rollout meets an integration dependency meets a network issue meets a queue spike.
What this report does well is show that reliability is an operating loop: detect, diagnose, coordinate, resolve, learn. If your loop is weak, your CX reliability is luck-based.
Report 3: Gartner Market Guide for IT Service Management Platforms
This Gartner Market Guide is a useful benchmark for buyers. It outlines what ITSM platforms are, what to prioritize, and where the market is headed.
What this report reveals
- ITSM is still the go-to system of record for incidents, requests, changes, knowledge, service levels, and configuration management.
- Many vendors are chasing AI and non-IT workflows rather than strengthening core usability, reporting, automation, and integration.
- Total cost of ownership can vary widely, especially due to bundling, implementation, and admin overhead.
- The market is top-heavy. Gartner notes the top end of the market is dominated, with leading vendors holding a large share of market revenue.
Why it matters for CX reliability
Even if your contact center platform is modern, your reliability outcomes depend on how incidents and changes are managed across all dependencies.
This report helps buyers avoid two classic mistakes:
- Buying a platform for shiny AI features, then struggling with basic reporting and workflow adoption.
- Underestimating implementation and admin needs, then blaming the tool when maturity stalls.
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Report 4: Omdia + NTT DATA “ServiceNow Insight and Vision Report”
This report is especially useful if you need to explain why “service management” is no longer just a ticketing conversation. It ties ITSM reports to digital objectives, AI investment, integration complexity, and automation maturity.
It is based on perspectives from over 1,000 key IT and service management decision makers and budget holders who utilize the ServiceNow platform.
What this report reveals
- Only 19% of businesses reported that their service management fully aligned with digital objectives.
- Integration complexity is a top barrier. The report highlights 41% struggling with complex technology integrations.
- Budget attention is real. It notes that 42% expect to allocate 11–20% of IT budget to service management solutions.
- GenAI is driving expectations. It reports 97% saying GenAI adoption contributed to some form of revenue growth or benefit, and 76% expecting AI and workflow automation to reduce costs by up to 20%.
Why it matters for contact center reliability statistics conversations
Leaders often ask for reliability improvements, then starve the integration work that makes reliability possible. This report gives you language to explain the gap:
- misalignment between service management and digital goals
- integration complexity slowing outcomes
- automation maturity still uneven
Report 5: How to Improve Contact Center Reliability: The Essential CX Service Management, Observability, and Connectivity Guide
Roundups are fun, but your team still needs a plan.
That’s what CX Today’s Ultimate Guide on this topic is for. It translates the research and ITSM reports into a buyer-ready framework:
- how to define CX reliability in plain language
- what capabilities buyers need to consider (service management, observability, connectivity)
- how to evaluate tools without getting trapped by dashboard demos
- how to implement in phases and prove ROI
It’s the bridge between “these reports are scary” and “here’s what we do next.”
Final Takeaway
The research doesn’t say “buy more tools.” It says: CX reliability is an operating model.
If your stack is growing, and AI is entering the picture, you need tighter integration, better visibility, and more mature incident practices. Otherwise, you don’t just experience outages. You experience uncertainty. And uncertainty is what customers feel first.
If you want the full buyer-ready playbook that connects these research insights to vendor evaluation, implementation, and ROI, explore our Ultimate Guide to Service Management & Connectivity for CX here.
FAQs
What do the latest CX technology reports say about CX reliability right now?
- Most reports agree that CX systems are becoming more complex, and that reliability depends on more than one platform. They highlight the need for clearer ownership when issues happen and better visibility into what customers actually experience.
What CX infrastructure research can help me understand why customer experiences fail?
- The most useful CX infrastructure research explains the “full journey,” including network paths, cloud services, and third-party tools. It helps you see why issues can occur even when your core contact center platform looks fine.
Are there real contact center reliability statistics on how often systems fail?
- Yes. Industry reports often share data on outages and disruption trends. While every environment is different, the consistent message is that major disruptions are common enough that enterprises must plan for them, not treat them as rare events.
How do outages impact customer experience in plain terms?
- Outages and slowdowns create friction. Customers may get dropped calls, delayed chats, failed payments, or long wait times. Even short disruptions can lead to repeat contacts, more complaints, and lower trust.
Which ITSM reports or service management research should I read if I’m not technical?
- Look for ITSM reports and service management research that explain the basics: who owns issues, how teams respond, and how problems get prevented from repeating. The best ones use real-world examples and focus on business impact, not technical jargon.
