A few years ago, a “Top 15 CATI Software” list felt realistic. That’s not the case in 2026. 

The CATI market has consolidated fast. Many familiar names still exist, but as parts of much larger platforms, often inside broader CX, patient experience, or contact-center ecosystems. In those environments, CATI may remain available, but it’s less often the primary product focus.

At the same time, CATI hasn’t disappeared. It’s still essential for research teams that need structured interviewing, complex logic, quality control, and tight fieldwork management. What’s changed is how many providers still build for that reality.

This updated guide focuses on the platforms that are still actively standing in the CATI landscape today, either as large “suite” providers with CATI as one part of a broader ecosystem, or as research-first platforms where CATI remains a core capability.

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1. Voxco

The Status

Voxco is a research-first platform where CATI remains a core capability, designed to support both small and large-scale telephone operations, and to run CATI within a broader mixed-mode workflow when needed. 

The Strength

• Built for complex CATI fieldwork: advanced questionnaire logic, validations, and multilingual support (including updating questionnaires in real time without interrupting fieldwork)
  Voxco CATI Feature Sheet EN
• Strong sample + quota control: centralized sample and quota management, including complex quota structures and weighted quota management
  Voxco CATI Feature Sheet EN
• Dialing built for research workflows: integrated dialing modes (preview, power, predictive, hybrid) and research-specific dialer tooling
  Voxco CATI Feature Sheet EN
• Quality oversight and coaching tools: call monitoring/recording plus real-time supervisor coaching features like whisper and barge-in, supported by live dashboards
  Voxco CATI Feature Sheet EN
• Flexible operations: supports cloud and on-premise deployments, including distributed and multi-site interviewing teams
  Voxco CATI Feature Sheet EN

Why It’s Still Standing

In a market where many tools have been absorbed into broader suites, Voxco remains positioned around fieldwork rigor, keeping CATI as a primary capability rather than a legacy module.

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2. Qualtrics (Press Ganey Forsta)

The Status: 

In October 2025, Qualtrics announced a definitive agreement to acquire Press Ganey Forsta for $6.75B, positioning it as a major move to advance AI-powered experience management.
Forsta itself was formed by the merger/rebrand of major experience and research technology brands (including Confirmit and FocusVision).

The Weakness

• CATI becomes one signal among many: In large “experience management” ecosystems, CATI tends to shift from being a core engine of research operations to being one input among broader VoC/EX/PX measurement programs.
• Product direction can become harder to read: When research technology is integrated into a broader suite, teams that rely on deep CATI-specific workflows may need to watch roadmap priorities closely (especially during integration phases).

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2. Enghouse Insights

(Formerly Survox / Nebu)

The Status

The Survox and Nebu brands, both historically well known in CATI and research operations, have been formally retired and absorbed into Enghouse Insights, part of the broader Enghouse Systems portfolio.

The Weakness

Enghouse is first and foremost a generalist contact center technology provider. Its core focus is customer service operations, agent efficiency, and omnichannel contact handling across industries.

As CATI capabilities are folded into this broader contact-center stack, the specialized research functionality that originally differentiated Survox and Nebu, such as research-first sample management, quota logic, and fieldwork controls, becomes less central. For research teams, CATI increasingly risks being treated as a call-flow problem rather than a data-collection methodology.

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3. NIPO – Nfield

The Status

NIPO has largely transitioned away from its legacy on-premise CATI systems in favor of Nfield, its cloud-native data collection platform. Nfield now represents the center of gravity for NIPO’s product strategy.

The Weakness

Nfield is well suited for cloud-first research teams, particularly in European markets. However, its SaaS-only deployment model can introduce limitations for organizations that require greater flexibility.

For large, multi-site CATI operations—especially in North America or global enterprise contexts—cloud-only architectures may struggle to meet scale, latency, or infrastructure expectations. In regulated environments, the inability to control where data is physically stored or processed can also be a barrier.

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4. QuestionPro

The Status

QuestionPro has grown into a large “DIY-to-Enterprise” survey platform by offering a very broad feature set across online surveys, panels, experience measurement, and analytics. Its strength lies in flexibility and accessibility across many use cases.

The Weakness

Because QuestionPro aims to serve a wide range of survey needs, its CATI functionality is positioned more as an extension of online surveying than as a purpose-built telephone interviewing system. In practice, this means CATI workflows tend to resemble a web survey with a dialer layered on top.

For research teams running serious telephone fieldwork, this can translate into limitations around industrial-grade sample management (such as recycling phone lists) dynamically weighting quotas, and cleaning sample in real time as field conditions change.

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The Hard Truth: Why CATI Needs Are Decreasing

CATI usage is often described as declining simply because “online surveys are cheaper.” In 2026, that explanation only scratches the surface. The more significant pressures on CATI are technical and structural.

1. Carrier-Level AI Blocking

Modern smartphones now apply AI-driven spam and call screening at the operating-system level. Research calls are increasingly flagged, or blocked entirely, before the phone ever rings, reducing reach rates regardless of dialing strategy.

2. The Decline of Geographic Sampling

Mobile phone numbers no longer reliably map to physical location. Area codes have lost their geographic meaning, making traditional location-based sampling far less effective for local government, regional polling, or community-level studies.

3. The Rise of Synthetic Respondents

Some organizations are experimenting with AI-generated or AI-augmented respondents to reduce cost and speed up insight generation. While these approaches can be efficient, they introduce the risk of data drift, where responses begin to reflect model assumptions rather than real-world human behavior.

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Together, these forces are reshaping how and when CATI is used. The method itself remains valuable, but it now requires more sophisticated tooling, tighter controls, and clearer decisions about when human-led telephone research is essential.

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Why Voxco Is the Gold Standard in 2026

In a market shaped by consolidation and “good enough” AI-driven insight, Voxco has taken a different path. Rather than broadening into a general-purpose experience platform, it has continued to invest in CATI as a specialist discipline—with a focus on methodological rigor, fieldwork control, and data integrity.

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The Verdict

For low-stakes research, such as lightweight customer feedback or quick pulse checks—many of the platforms discussed in this guide may be sufficient.

But for government agencies, high-stakes social research organizations, and global tracking programs, the direction of a platform matters. In those contexts, the ongoing integration and repositioning of large, consolidated brands can introduce uncertainty around product focus, roadmap priorities, and long-term support for CATI-specific workflows.

Voxco stands apart by continuing to treat CATI as a primary mission, not a legacy capability. For teams that depend on structured interviewing, fieldwork oversight, and defensible data quality, that focus remains a decisive advantage in and beyond 2026.

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This blog has been updated for 2026 to reflect the current CATI software landscape.

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