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Maze

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Maze is a continuous user and market research platform enabling teams to run qualitative and quantitative studies with AI-assisted analysis and scalable recruitment, integrated reporting, and decision-focused workflows.

Overview

Maze is a platform for continuous user and market research that helps teams run both qualitative and quantitative studies. It provides an end-to-end research environment with AI-assisted analysis, enabling researchers to recruit participants from a large pool, conduct tests across concepts, prototypes, and live experiences, and generate shareable reports for stakeholders. The platform supports methods such as concept validation, usability testing, card sorting, moderated and unmoderated interviews, surveys, and live website testing. It emphasizes speed, collaboration, and integration by linking research findings to the tools teams use daily and embedding insights into decision workflows. Maze serves product managers, designers, researchers, marketers, and executives across industries, helping organizations move from questions to evidence-based decisions. The description highlights openness, scale, and governance, with emphasis on trusted data, privacy, and compliance. It positions itself as a system of learning for organizations, aiming to shorten time-to-insight and increase confidence in decisions throughout the product development lifecycle.

Mission statement

To help teams make faster, more confident product and service decisions by turning research into a scalable, collaborative system of learning that informs strategy and execution.

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What we offer

Maze Platform

Maze Platform transforms research processes with fast, integrated user insights, empowering teams to innovate confidently.

Pricing not published

maze.co/

Market segments

Market size by segment

Growth potential (CAGR)

Usability research

0.35 Billion USD10.5% CAGR

Task-based and moderated user testing with screen sharing, highlight reels and AI-driven analysis to identify usability friction and validate UX changes before launch.

Products: Maze Platform

Product concept and UX testing

4 Billion USD9% CAGR

Methods for concept testing, conjoint and MaxDiff analysis, product validation and UX research to validate product-market fit and prioritize features.

Products: Maze Platform

Remote user interviewing and session recording

1.4 Billion USD13% CAGR

Remote moderated and unmoderated interview capabilities with participant recruitment, video clip capture, neutral moderation, deeper probing, and thread continuity for exploratory qualitative research.

Products: Maze Platform

Automated research synthesis and analysis

2.5 Billion USD25% CAGR

Automated AI-driven synthesis and analysis of interview and session data into summaries, toplines, highlight reels, and cross-language insights to accelerate decision-making.

Products: Maze Platform

More information about our offering

Maze Platform

Maze Platform is an end-to-end research platform that enables teams to run both qualitative and quantitative studies at scale. It supports recruiting participants from a global panel, conducting concept validation, usability testing, card sorting, moderated and unmoderated interviews, surveys, prototype testing, and live website testing. Insights from studies are turned into visual, shareable reports integrated into decision workflows. The platform includes AI-assisted capabilities such as AI study builder and AI moderator to design studies, guide conversations, extract quotes and themes, and accelerate analysis. Maze Platform integrates with common design and analytics tools, offers live website testing with heatmaps and path analysis, and provides a central hub for collaboration across product managers, designers, researchers, marketers, and executives. It emphasizes speed, openness, governance, privacy, and compliance, delivering a system of learning that shortens time-to-insight and strengthens confidence in product decisions across the lifecycle.

Pricing not published

  • Build Studies Instantly
    Expedite the research process by creating comprehensive studies efficiently, allowing teams to focus on insights.
  • Deliver Insights Rapidly
    Enhance communication with clear, visual reports, making it easier for stakeholders to understand key findings.
  • Validate Live Experiences
    Directly observe user interactions on live sites to gain immediate feedback and improvements.
  • Gain Design Feedback
    Facilitate better design decisions by testing prototypes before full-scale production.
  • Review User Insights
    Generate actionable insights by analyzing real user interactions captured during studies.
  • Seamless Insights Access
    Embed research findings into everyday tools to support informed decision-making.
  • Uncover User Needs
    Enhance understanding of user intentions and motivations with effective probing techniques.
  • Access Diverse Participants
    Quickly gather varied user feedback from a wide array of participants.
  • Enhance Report Clarity
    Easily create well-supported reports by leveraging direct user feedback and themes.
  • Ensure Data Integrity
    Acquire unbiased insights by minimizing leading questions during user research.
  • Maintain Discussion Flow
    Ensure comprehensive discussions by managing conversation continuity during sessions.

Sources

Methodology and sourcing behind the figures and links shown above.

Usability research

Estimates based on multiple market reports for UX/Usability research software and services in the search results. KBV Research reports global UX research software at $383.6M (2023) with an 11.4% CAGR; MarketResearchFuture reports $0.27B (2024) with a 9.1% CAGR; a US-focused report shows a small but growing domestic market (~$12.54M in 2026, CAGR ~10.3%). Averaging these recent market-size datapoints yields a current global market estimate of about $0.35B and a midpoint growth potential of ~10.5% CAGR (range 9–11.4%).

Product concept and UX testing

No search result provided an explicit market size or CAGR for "Product concept and UX testing." I estimated the market as a specialist subset of broader market-research, UX services, and product-design spending (agencies, in-house UX teams, and specialized testing platforms). Benchmarking against adjacent digital services and testing markets (penetration testing, PoC/technology platforms, at-home testing) and observing strong ongoing investment in digital product discovery, UX, and validation informed a conservative mid-range estimate: ~USD 4.0B total market and ~9% near-term CAGR driven by continued digital transformation, SaaS research tools adoption, and demand for evidence-based product decisions.

Remote user interviewing and session recording

Estimate based on published market figures for adjacent categories in the supplied search results. DataHorizzon values the session-replay market at ~USD 0.9B (2024). VirtueMarketResearch reports the global audio recording software market at USD 0.496B (2022) with strong growth to 2030. LinkedIn research notes a lower CAGR (~8.3%) for video interviewing specifically. Combining session-replay (~0.9B) plus a conservative portion of audio-recording and video-interviewing markets yields an estimated ~USD 1.4B addressable market for remote user interviewing and session recording in the near term. Growth potential is weighted toward the higher CAGRs reported for session-replay and audio-recording (~14% range) with some moderation for video-interviewing (~8%), producing an aggregated CAGR estimate of ~13% (conservative, reflecting overlap and market consolidation).

Automated research synthesis and analysis

Search results provided no explicit market-size or CAGR data for automated research synthesis and analysis. Estimate uses internal knowledge of adjacent markets (qualitative research analysis software, transcription/speech-to-text services, market-research automation, and emerging generative-AI summarization tools). Combining current specialized spend on enterprise qualitative-analysis tools, transcription and meeting-analysis services, and early AI research-synthesis SaaS yields an approximate current global market of ~$2.5B. Growth potential reflects rapid enterprise adoption of generative-AI capabilities, increased demand for faster multilingual insights, and SaaS expansion dynamics; a mid-range CAGR of ~25% is used (typical for AI-enabled research/analytics SaaS segments over the next 3–5 years), with upside from wider adoption and downside from regulation and accuracy limits.

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