5 Best AI market research tools to try in 2025

Market research is changing fast, and artificial intelligence (AI) is at the center of that transformation. Businesses can no longer rely solely on traditional surveys and manual analysis. Automation, predictive analytics and real-time insights are now driving more accurate decision-making, which helps teams spot trends and understand customers almost instantly.

AI tools reduce the time and effort needed to collect and analyze data and uncover patterns humans might miss. They also help generate actionable recommendations that guide strategy. They enable research teams to focus on interpreting insights rather than managing endless spreadsheets or panels, which gives them a competitive edge in understanding consumer behavior.

In this article, we cover the five best AI market research tools to try in 2025. You’ll learn what each platform does and how it uses AI to deliver insights.

Tool	Best for	Use cases	G2 rating
Attest	Fast, reliable market insights	Consumer insights, brand tracking, product testing	4.5 stars
Quantilope	AI-powered end-to-end consumer insights	Product testing, advertising evaluation, market segmentation	4.3 stars
Brandwatch	Consumer intelligence at scale	Social listening, crisis management, trend forecasting, competitive benchmarking	4.4 stars
Crayon	Proactive competitive intelligence	Competitive intelligence, sales enablement, market intelligence	4.6 stars
Remesh	Real-time conversational research	Testing product concepts, tracking brand perception, innovation and R&D	4.2 stars

Key takeaways 

AI transforms market research by automating data collection, analyzing unstructured feedback and predicting customer behavior in real time.

Instead of relying on slow, manual surveys, businesses can now uncover trends, track competitors and understand audiences with greater speed and accuracy.

In this guide, we highlight five of the best AI market research tools for 2025 — Attest, Quantilope, Brandwatch, Crayon, and Remesh — and show how they help research teams move from raw data to actionable insights faster.

What is AI market research?

AI market research uses artificial intelligence to collect and analyze data about customers, competitors and markets. Unlike traditional research methods, which often rely on manual surveys or focus groups, AI automates data gathering and insight generation, which makes research faster and more scalable.

How it works:

1️⃣ Collect data from surveys, social media, reviews, and other sources.

2️⃣ Process text with Natural Language Processing (NLP) to categorize themes and extract meaning. 

3️⃣ Apply machine learning (ML) to detect patterns and predict outcomes in large datasets.

4️⃣ Run sentiment analysis to understand how audiences feel about products, brands, or topics.

5️⃣ Generate insights that inform decisions.

Why it matters:

AI-powered market research is valuable because it:

• Uncovers patterns and emerging trends that traditional methods might miss.
  
• Predicts customer behavior with higher accuracy.
  
• Delivers real-time insights, helping businesses make decisions quickly instead of waiting weeks for reports.
  
• Enhances human judgment by providing analysts with accurate, actionable intelligence.

What do AI market research tools do?

AI market research tools streamline the way your teams collect and analyze customer data. Instead of relying on manual processes, these platforms use automation and machine learning to deliver insights faster and more accurately. Here’s what they can do:

• Automate data collection: By gathering information from surveys, social media, customer reviews and other sources at once, which saves hours of manual research.
• Segment audiences: Based on behavior, demographics or preferences to help marketers design more targeted campaigns.
• Forecast trends: By analyzing past data and spotting early shifts in customer needs or product demand.
• Track sentiment: In reviews, social posts and open-text survey responses to uncover how people really feel about a brand or topic.
• Analyze competitors: By monitoring their product launches and market reception to reveal gaps and opportunities.

The outputs from these tools include predictive models for buying behavior, dashboards showing sentiment trends over time, visualizations of market segments, alerts on emerging trends and competitor benchmarking reports. These features help your team make data-driven decisions with speed and precision.

The outputs from these tools include predictive models for buying behavior, dashboards showing sentiment trends over time, visualizations of market segments, alerts on emerging trends and competitor benchmarking reports. These features help your team make data-driven decisions with speed and precision.

Why are AI market research tools useful?

AI market research tools offer benefits that go beyond what traditional market research methods can achieve. One of the biggest advantages is speed: they can process vast amounts of data in hours that would take teams weeks to collect and analyze manually. This makes it possible to respond quickly to market changes or test ideas instantly. AI market research tools are also cost-efficient, which reduces the need for large research teams and expensive survey panels.

AI tools improve accuracy by detecting patterns and anomalies in data that humans might miss, and by cross-checking results with different analytical models to minimize the risk of bias or over-reliance on a single method. They also provide deeper insights by processing unstructured data from sources like social media posts, customer reviews and open-text survey responses, which turns qualitative information into actionable trends.

Last, but not least, AI market research tools enable your teams to uncover opportunities earlier. 

Top 5 AI market research tools

Below is a breakdown of the best AI market research tools available in 2025:

Attest powers its insights and data storytelling with AI-driven tools that reduce manual workload and improve trust in results. It uses built-in quality controls, such as impossible, improbable, and behavioral checks, to filter out low-quality or biased survey responses.

It also leverages AI to generate automated summaries of your survey results, including open-text responses so you don’t have to read through every comment. The platform’s interactive Boards surface and visualize key insights and segments automatically, which helps you spot differences across demographic or behavioral groups without building charts from scratch.

Key features 

• Intuitive survey builder: Quickly design surveys with multiple question types, branching logic and draft sharing, which makes it easy to gather data from the right respondents.
• Advanced audience targeting: Reach over 150+ million consumers across 59, using precise filters and quotas to ensure your surveys reach highly relevant audiences.
• AI-powered analysis: Automatically process survey results, summarize open-text responses, detect trends, analyze sentiment and segment audiences for faster and more actionable insights.
• Automated data quality checks: AI applies impossible, improbable and behavioral checks to filter out unreliable responses, which ensures only high-quality data informs decisions.
• Expert support: Dedicated research experts guide you from survey creation to data interpretation, which ensures reliable and valuable results.

Pricing 

Attest is a subscription platform with packages ranging from Basic, which includes 50,000 credits, through to its custom packages, It offers flat pricing regardless of audience location or demographics.

Use cases

• Consumer insights
• Brand tracking
• Product testing
• Campaign evaluation
• Market segmentation

Pros and cons 

Pros	Cons
Easy to use, which makes navigating the platform simple for teams of any size.	Serving large to enterprise clients, some users find the platform more expensive.
Offers excellent customer support, with dedicated research experts available to guide users through survey design and data collection.
Easy to learn, allowing new users to quickly get up to speed and gather insights without a steep learning curve.

2. Quantilope: Best for AI-powered end-to-end consumer insights

Source: G2

Founded in 2014, Quantilope is a consumer intelligence platform designed to streamline market research processes. Quantilope uses AI to automate advanced analysis methodologies such as MaxDiff, conjoint analysis, TURF and implicit testing. The platform, which features an AI co-pilot, enables researchers to conduct studies faster without compromising depth.

Key features 

• 15 automated advanced methods: Access a comprehensive suite of different analysis techniques, including MaxDiff, Conjoint, TURF and implicit testing, all fully automated and integrated into your research projects.
• AI co-pilot: Use the help of “quinn” to receive real-time recommendations on survey design, question phrasing and data analysis, which enhances the efficiency and quality of your research.
• Real-time data visualization: Monitor incoming responses and analyze data instantly through dynamic dashboards, which enable prompt identification of trends and insights as they emerge.

Pricing 

Quantilope doesn’t publicly advertise its pricing or packages. You’d need to book a demo via its website for a custom quote for your needs.

Use cases

• Consumer insights
• Product testing
• Brand tracking
• Advertising evaluation
• Market segmentation

Pros and cons 

Pros	Cons
Survey creation is fast and efficient, with automated advanced methods and AI recommendations simplifying the design process.	Some users note design limitations, as customization options for certain survey elements can be more restricted.
Collaboration features allow teams to work together seamlessly to share drafts, feedback and analysis in real-time.
Intuitive platform, makes it easy for both experienced researchers and new users to navigate and run studies quickly.

3. Brandwatch: Best for consumer intelligence at scale

Source: G2

Brandwatch is a leading digital consumer intelligence platform, acquired in 2021 by Cision. It offers real-time insights from over 100 million online sources, including news sites, blogs, forums and social platforms, to track mentions of your brand and competitors. This gives teams real-time insight into conversations that shape reputation and market trends.

Using its proprietary AI engine, Brandwatch automates sentiment analysis, trend detection and image recognition. This enables teams to quickly identify emerging issues and opportunities, which enhances responsiveness to emerging trends like negative brand sentiment and strategic planning.

Key features 

• Comprehensive data coverage: Accesses over 100 million online sources, including social media platforms, blogs, forums and news sites, ensuring a broad spectrum of consumer opinions.
• Real-time monitoring and alerts: The platform provides instant notifications for significant changes in sentiment, conversation volume or emerging trends, which enables proactive decision-making.
• Customizable dashboards and reporting: Offers flexible dashboard creation and automated reporting tools that allow you to tailor insights and share them effectively across different teams.

Use cases

• Social listening
• Crises management
• Campaign measurement
• Trend forecasting
• Competitive benchmarking

Pricing 

Brandwatch doesn’t publicly advertise its pricing on its website. You’d need to schedule a demo on its site to get a custom quote. 

Pros and cons 

Pros	Cons
Well-designed dashboards make it easy to track conversations and brand mentions in real time.	Some users report data limitations that can sometimes restrict the depth of analysis.
Delivers valuable insights that help you understand audience sentiment and market trends.
A wide array of features supports everything from competitor tracking to campaign measurement.

4. Crayon: Best for proactive competitive intelligence

Source: G2

Crayon is a competitive intelligence platform focused on helping companies monitor competitors and gain strategic market insights. It gathers data from millions of records and distills it into usable intel to support sales, product and marketing teams.

It has AI-powered capabilities like automatic tagging and anomaly detection that highlight important trends for sales teams. Crayon Answers, its Gen-AI assistant, gives direct answers inside tools like Slack or Teams, while Crayon’s Sparks and Call Clips help teams uncover insights from conversations faster.

Key features 

• Real-time competitive marketing: Tracks changes to competitor websites, pricing and messaging across many public sources to stay ahead of market shifts.
• AI summarization and alerting: The system pulls out the most important insights, shows the most relevant sources, and emails you when high-priority changes happen. 
• Battlecards and enablement content: Easily generate battlecards (documents that provide teams with quick-reference information), sales plays and summaries that help sales and marketing teams respond quickly to competitor moves.

Pricing 

Crayon’s pricing and packages aren’t publicly available. You’d need to book a demo via its website to get a custom quote for your needs.

Use cases

• Competitive intelligence
• Sales enablement
• Benchamarking
• Market intelligence

Pros and cons 

Pros	Cons
Stands out for its robust competitor analysis, which helps you track competitors with precision and depth.	Some users mention that the platform’s pricing can be expensive.
Responsive and helpful customer support team makes onboarding and ongoing use smooth.
Integrates with popular tools, which enables teams to streamline workflows and keep intelligence accessible where they work.

5. Remesh: Best for real-time conversational research

Source: Remesh 

Remesh enables you to engage with audiences via conversational platforms such as Live or Flex to blend survey and focus group dynamics. Participants submit answers, vote on each other’s responses and help surface consensus in real time.

The AI-powered side of Remesh organizes thousands of open-ended responses and surfaces the topics that resonate via voting and metrics. It also lets users get summaries or compare segments in seconds.

Key features 

• Live and Flex conversations: Run real-time asynchronous dialogue sessions with up to 5,000 participants to gather qualitative feedback at scale.
• Recruitment and participant quality: Use vetted sample panels or recruit via the platform to ensure high engagement and low removal rates.
• Global reach with multi-language support: Conduct research across over 30 languages with built-in translation and cross-conversation merging.

Pricing 

Remesh doesn’t publicly display its pricing or packages. You’d need to visit its website and request a demo in order to get custom pricing for your specific requirements.

Use cases

• Testing product concepts
• Tracking brand perception
• Innovation and R&D

Pros and cons

Pros	Cons
Makes it simple to set up questions, which allows researchers to launch sessions quickly.	Some users note that the platform is expensive, especially for larger sessions or higher numbers of respondents.
Real-time feedback powered by AI and machine learning lets teams see insights and sentiment as responses come in.
Responsive and supportive customer service team.

How Attest is leveraging AI in market research

AI tools are becoming essential in market research because they process large amounts of data quickly and identify trends that humans might miss. They also provide actionable insights with greater accuracy. By using AI, research teams can make faster decisions, reduce manual work and focus on strategic analysis rather than data collection. 

Attest applies AI across survey design and analysis to help teams work faster and with greater precision. Here’s how it works:

• AI insights: instantly generate deep insights from complex data sets comparing multiple questions and demographics.
• AI Boards: get the most interesting insights from your research in an automatically-generated presentation. Bring life to your charts with AI captions and titles that highlight the key takeaway. 
• Automated text analysis reviews open-ended responses at scale, which groups similar themes and sentiment, so researchers don’t need to code answers manually. This makes it easier to extract meaning from large volumes of qualitative data.
• Statistical significance calculator: Flags whether differences between groups are meaningful. This reduces the risk of misinterpreting results and ensures decisions are based on solid evidence. 
• Predictive capabilities: Track trends over time by comparing survey waves, which helps teams anticipate shifts in consumer behavior.
• Faster time to insight: Cuts down the time from data collection to insight, so researchers can focus on applying findings to strategy with confidence that the underlying data is accurate and consistent.

With Attest’s AI handling the heavy lifting, researchers can spend more time understanding customers and shaping strategies that resonate. Our tool allows you to make faster decisions, reduce manual work and focus on strategic analysis rather than data collection.