Top 12 AI Market Research Tools to Try in 2025

Market research is critical to marketing; it doesn’t matter if it’s quantitative or qualitative research. You cannot run marketing campaigns if you don’t know who your audience, the people you’re targeting, is. Nowadays, market researchers are turning to AI tools like ChatGPT to speed up the process.

The time, money, and resources involved make research fun, no doubt, but if you can do something that takes ten hours in ten minutes, why not?

For instance, brands can use AI market research tools to conduct surveys, analyze unstructured data, and generate consumer insights in visually digestible formats. Since these tools run on advanced AI models, they can easily process data to uncover consumer preferences and predict market trends.

But with so many AI tools already on the market, and new ones popping up every month, where do you even start? How can you tell which ones work for you and which ones won’t?

To address these questions, we’ve compiled a list of the top AI market research tools this year. Go through them all and select the ones that best fit your research needs.

What Is AI Market Research?

To answer this, let’s first look at what market research really is. At its core, market research is about understanding your customers, your competitors, and the other factors in the market that could affect your business’s profitability.

The best way to understand these factors is via competitive analysis, surveys, interviews, and focus groups. You basically collect raw data and then analyze it to make business decisions.

Contrary to the normal market research process, AI market research uses AI tools to collect your market data. Instead of only running surveys or reading reports by hand, these tools process information, including text, images, audio, and video, to uncover preferences, customer sentiments, and competitor strategies.

It removes the manual, repetitive work of traditional consumer research, allowing time-consuming steps like data collection, analysis, and report generation to be done quickly with AI systems.

Why do we need AI for market research?

AI isn’t just supplementing market research; it’s redefining the way we, as marketers, go about understanding our customers and competitors. Since AI tools can sift through data regardless of language and location, we can discover market insights that would otherwise go unnoticed.

AI market research, to a large extent, also eliminates the bias and errors we see in research methods involving humans. This obviously gives researchers more time to interpret data and develop impactful marketing strategies.

If one were to outline the core uses of AI in market research, it would be the following:

• Data collection and analysis: You end up gathering a lot of data during research. AI can analyze that data for you and give you a clear picture of what’s really happening in the market.
• Predictive analytics: AI tools don’t just crunch data anymore; they use it to predict changes in customer behavior, identify new market opportunities, and detect a lull in customer engagement.
• Sentiment analysis: Through natural language processing (NLP), AI can browse through online reviews, comments, ratings, and other Voice of Customer data to figure out how people really feel about your brand and products.
• Personalization: AI algorithms can pinpoint which audience segments are most likely to engage or buy, along with their preferences and behaviors, helping marketers develop content, messaging, and ads that drive conversions.
• Automation: No one likes to manually clean data or create exhaustive reports. AI takes care of those repetitive tasks so your team can focus on the big picture and save time and money.

What Are AI Market Research Tools and How Do You Use Them?

AI market research tools use artificial intelligence, machine learning, and other generative AI models to collect, analyze, and visualize market research data.

Unlike traditional research, these tools can gather information from multiple sources, like social media comments, reviews, survey responses, and more, and then analyze it using NLP to generate actionable insights for quick decision-making. The best part is that many AI marketing tools can present their learnings in the form of reports or dashboards.

You can use them to track market shifts, gauge public sentiment across social media and review platforms, and monitor competitor strategies to identify gaps and opportunities.

A good example of a brand using AI algorithms for market research is Netflix. Netflix uses AI to analyze viewer data, what people watch, when they watch, ratings, and even repeat watches, to predict what users will like. This data guides content production, allowing Netflix to create exclusive shows that attract subscribers and keep them engaged.

Choosing the right AI tool for market research

We get it, picking the right AI tool can feel overwhelming. But breaking it down into a few key considerations can make the process a whole lot easier.

First off, be clear about what you want to achieve. Do you want to automate survey collection and data analysis? Get better qualitative insights? Or spot market trends? Outlining your goals will help you focus on the best AI tools that actually meet your research objectives.

Next, make sure the tool supports all your data sources, whether that’s surveys, online reviews, website analytics, or CRM data, and seamlessly integrates with your existing systems to avoid silos and manual work. Data quality, compliance, and security are also important, so keep that in mind.

Look for a user-friendly interface, clear dashboards, and a short learning curve so your team can get started quickly. Ultimately, you should choose a solution that fits your budget and has the potential to deliver a strong return on investment (ROI) through time savings and quality insights.

12 Best AI Market Research Tools in 2025: Synthetic Research, Competitive Analysis, and More!

Gone are the days when marketers did things manually – like conducting surveys and creating in-depth reports to be presented to relevant stakeholders. In fact, research by SurveyMonkey indicates that around 93% of marketers utilize AI tools to develop content, 81% use them to uncover insights quickly, and 90% use them for faster decision-making.

With AI marketing tools in the picture, you can now automate a lot of repetitive tasks and focus your efforts on better endeavors. That said, here’s our list of the top AI market research tools you should try out in 2025.

1. Delve AI
2. Quantilope
3. Crayon
4. Brand24
5. Speak (Speak AI)
6. GWI Spark
7. ChatGPT
8. Glimpse
9. Synthetic Users
10. Artificial Societies
11. NextMinder
12. Lakmoos

We’ve started off with a brief description of what each of the tools does, its features, pricing, and use cases. Based on these factors, you can pick one that best suits your needs, objectives, and most importantly, your budget!

1. Delve AI (personas, competitor analysis, and synthetic research)

Delve AI is an AI-powered market research platform that helps you with every aspect of your research process, whether it’s audience segmentation, competitive intelligence, persona creation, or market analysis.

Powered by artificial intelligence and machine learning technologies, it’s an all-in-one solution for marketing teams looking to gain consumer insights without any hassle.

Features

• Offers the ability to create personas using various data sources like web analytics, competitor intelligence, social media, etc.
• Provides sample user journeys and customer journeys to identify bottlenecks and drop-offs.
• Lists individuals and organizations that can be reached out to for influencer collaborations.
• Allows you to interact with the digital twin of your customer for product and marketing-related feedback.
• Enables research teams to create synthetic users that model their user base and use them to run surveys and interviews.
• Gives persona-based marketing recommendations across multiple channels like SEO, PPC, display, content, email marketing, sales, and PR.

Trying it out

You can use Delve AI to generate personas using a variety of data sources. Our online persona generator lets you build AI personas automatically from your first-party (CRM, web analytics), second-party (social media, competitor intelligence), and public data sources (VoC data from reviews, ratings, community forums, blogs, news, etc.).

But what if you don’t have website analytics or CRM data? You can just go to Research Persona and upload your primary and secondary research data, like survey results, transcripts, market reports, or user profiles, to generate user personas for your target audience.

It’s also quite all right if you don’t have any research documents; just add a description of your target audience and your product or business (optional), and Delve AI will create personas based on the textual data you’ve provided.

Similarly, for other data sources, the software generates 3 to 6 personas representing both high and low-converting audience segments, regardless of whether it’s a B2B or B2C business. These personas are automatically updated every month, and you can also enrich them with fresh research data in the case of Research Persona.

Each of the persona cards comes with three buttons: PERSONA DETAILS, DISTRIBUTION, and CHAT. When you click Persona Details, you’ll get a 360-degree view of your customer, including their goals, challenges, motivations, content preferences, hobbies, interests, communication channels, and more, which can be used to personalize your marketing strategies.

Under Website Persona, you’re given access to Sample Journeys (for ecommerce sites) and organizational journeys (for B2B businesses), which help you understand how website visitors and users interact with your site.

Similarly, Customer Journeys provides user and customer journey maps divided into distinct stages, offering deeper insights into audience goals, problems, touchpoints, and experiences at each stage.

For Customer Persona and Social Persona, you get influencers and organizations that your customers engage with online, and thus can be reached out to for partnerships and influencer campaigns.

The Chat option allows users to interact with their persona segments as if they were real people. Powered by Delve AI’s Digital Twin of Customer software, this feature takes market research a step further, enabling you to request feedback on your latest feature, product, or business idea.

Our Synthetic Research software additionally gives you the ability to create hundreds of AI personas for your users or customers from an existing segment or persona type (eg, Customer Persona). You can use these synthetic personas to conduct as many surveys and interviews as you’d like.

All you need to do is select the number of respondents, specify your goal, and upload your survey questionnaire (optional). You can ask different types of questions, like MCQs and open-ended questions, and get results almost instantaneously.

The best thing about the Synthetic Research software is that you can follow up with a particular user and ask them the reasons behind their responses.

Another tool that simplifies market research is Delve AI’s upcoming product, Advisor by Delve AI. It combines your persona-related data into actionable campaign ideas across different channels, both organic and paid. For example, the SEO advisor suggests opportunities for guest posting and link-bait ideas for your business.

Pricing

• AI Persona Generator pricing plans start at $94/month for Customer Persona, $103/month for Social Persona, $72/month for Website + Competitor Persona, and $79/month for Research Persona, when billed annually.
• Digital Twins begin at $39 for 2k chat credits.
• Synthetic Users are priced at $49 per 100 users.

2. quantilope (automated surveys, analytics, and predictive insights)

quantilope is an end-to-end automated research platform that helps marketing and product teams streamline research projects, whether it’s survey creation, analysis, or reporting. It drastically reduces time to insight while still offering the depth of traditional research.

The consumer research platform currently offers 15 pre-programmed research methods, and the addition of quinn (the AI assistant) makes it possible for even smaller teams to run advanced studies at scale without getting bogged down by manual procedures.

Features

• Build surveys from scratch or start with customizable templates. quantilope’s AI assistant, quinn, recommends methods, writes questions, and even generates logic flows to speed up study design.
• Utilize pre-programmed and ready-to-deploy techniques such as conjoint analysis, MaxDiff, TURF, and Van Westendorp pricing.
• Convert data into interactive dashboards and visual reports in real-time. quinn also generates chart headlines and full summaries in your preferred style and tone.
• Use machine learning algorithms for forecasting, segmentation, and driver analysis to understand behaviors and future trends.
• Collect video feedback and automatically analyze it for sentiment, keywords, and emotions.
• Estimate the length of interviews to improve respondent experience and survey completion rates.

Trying it out

The good thing about quantilope is that you can run anything from quick tests to full-scale brand tracking projects. The software makes it fairly easy for teams to test willingness to pay, feature trade-offs, and product configurations using methods like conjoint or Van Westendorp pricing analysis.

For instance, you can launch a simple survey by choosing a template and simply letting quinn suggest questions, logic, and design. As the answers roll in, your dashboard updates in real time, so you can check trends without waiting for a full report. If you have video feedback, just upload it, and quantilope will automatically transcribe and tag emotions, keywords, and themes.

Researchers can run segmentation studies using their own lists or Quantilope’s panel partners, and analyze consumer groups by demographics, behaviors, and attitudes for better targeting.

Pricing

Custom pricing. You’ll need to request a demo to get a pricing tailored to your needs and use case(s).

3. Crayon (competitive intelligence)

Crayon is a competitive intelligence platform that allows brands to monitor competitors. From tracking product launches and pricing updates to monitoring ad campaigns and website changes, Crayon gives sales and marketing teams a clear, real-time view of their competitive landscape.

The platform’s AI-powered engine filters through noise, highlights important updates, and delivers them directly to dashboards, emails, or tools like Salesforce, HubSpot, and Slack.

Features

• Track competitor activities across websites, social media, job postings, digital ads, plus more.
• Use AI-powered summaries to cut through data overload and surface the most relevant changes.
• Build and update battlecards with competitor strengths, weaknesses, and positioning to support sales teams.
• Get visual timelines, dashboards, and industry reports for trend analysis.
• Benchmark performance against competitors to identify gaps and opportunities.
• Receive automatic alerts so you never miss important updates.

Trying it out

Once you choose which competitors to track, Crayon scans their websites, social posts, and other content to flag any updates. You get curated alerts whenever there are major changes, like when a competitor changes their pricing or launches a new product.

Sales teams can pull up live battlecards that compare strengths and weaknesses across competitors. Marketing teams, on the other hand, can use Crayon’s reports to spot gaps in positioning.

Pricing

Custom pricing. Plans are based on team size and business requirements; you’ll need to request a quote.

4. Brand24 (social listening, sentiment analysis, and trends)

Brand24 is a social media intelligence platform that uses AI to monitor online conversations, analyze sentiment, and see how people feel about your brand and industry. It collects data from social media, blogs, news sites, forums, and other web sources, then turns it into actionable insights.

The tool is useful for marketing and PR teams who want to keep an eye on social conversations, identify trending topics before they become mainstream, or monitor competitors.

Features

• Track audience sentiments across social channels, from positive and negative mentions to neutral conversations.
• Use Iris, the AI analyst, for competitor analysis and contextual comparisons.
• Go beyond text with image recognition and emoji sentiment to capture logos, objects, and non-verbal cues.
• Run unlimited Boolean-powered searches to filter exactly the data you need.
• Automatically group conversations into categories and view them in interactive dashboards.
• Track reputation, presence, and influence scores to measure online visibility.
• Estimate the value of media coverage with AVE (Advertising Value Equivalent).
• Access up to one year of historical data and monitor conversations across multiple languages.

Trying it out

You can start by setting up projects around your brand or competitors in Brand24. Just enter the keywords, hashtags, or brand names, and the platform begins pulling in relevant conversations. Within minutes, you’ll see audience sentiments, along with trending topics.

Additionally, use the image analysis feature to see where your logo or product pops up in user-generated content (UGC). The platform also makes it easy to spot signs of a PR crisis and track reputation over time with scores and brand sentiment breakdowns.

Pricing

Plans are based on the number of keywords (brand names, hashtags, product categories, etc.) you can monitor. Pricing starts at $149/month for the Individual plan, $249/month for the Team plan, $299/month for Pro, $499/month for Business, and $999/month for Enterprise, billed annually.

5. Speak AI (text analysis for qualitative research)

Speak is an AI-powered market research tool that converts unstructured audio, video, and textual data into usable information. It doesn’t matter if it’s consumer interviews, focus groups, podcasts, YouTube videos, or other digital recordings; the platform makes sense of any qualitative data quickly using NLP.

Features

• Instantly convert audio and video files into text.
• Get AI-suggested prompts to analyze data without having to start from the beginning.
• Import multiple files at once to save time on larger research projects.
• Extract keywords, topics, entities, and sentiment trends from transcripts.
• Organize transcripts into searchable databases with media playback and visual reports.
• Integrate with platforms like Zoom, YouTube, Vimeo, and more for seamless data collection.

Trying it out

The process is simple with Speak AI: you can upload an interview or even a podcast episode, and within minutes, you’ll get a transcript plus AI-generated insights that highlight the overall themes, keywords, and sentiment.

You can take it a step further and leverage Magic Prompts to quickly generate summaries or pull out specific insights. If you’re working with a lot of material, bulk upload keeps everything in one place, and the dashboard organizes it into an interactive library you can search and visualize.

This comes in handy when preparing reports for stakeholders; you can turn hours of qualitative content and research findings into presentable, white-labelled reports.

Pricing

Speak AI has a pay-as-you-go plan at $6 per hour of transcription, which provides basic functionality. The actual subscription plans start at $15/month.

6. GWI Spark (chat-based insights from audience surveys)

GWI Spark is an AI research assistant that taps into GWI’s global survey data, collected monthly from nearly a million people across 50+ markets. That means every insight is based on verified, real-world responses that you can trust.

Features

• Use a conversation interface to ask questions and get easy-to-understand answers.
• Pull insights directly from GWI’s global and local survey panels, not random external sources.
• Generate customizable charts, pin findings, and explore deeper layers of data.
• Analyze broad consumer trends or zoom in on specific markets with location filters.

Trying it out

You don’t need to be a data expert to make GWI Spark work. You type in a question – like, “How do different marketing generations discover brands?” – and the AI-assistant will quickly pull in the right responses from its database. If you want to visualize results, you can generate charts and learn more about related topics.

Sales teams can use Spark to strengthen pitches with data-backed stats, and marketers can tap into consumer values to shape campaigns. Product teams, meanwhile, can test positioning ideas and verify them against audience needs.

Pricing

GWI provides a free plan that gives you 20 GWI Spark prompts per month and a Plus plan that costs $150 per user per month with unlimited prompts.

7. Glimpse (AI trend discovery)

Basically, Glimpse spots emerging trends before they go mainstream. It scans the web – search trends, social media conversations, online reviews, e-commerce platforms – to display what’s gaining traction.

Features

• For every trend, you can track search volume, year-over-year growth, and momentum.
• Interactive dashboards let you filter trends by demographics, categories, or keywords.
• Learn how people feel about certain topics, whether they’re excited, skeptical, or cautious.
• See which platforms (eg, TikTok, Reddit, or YouTube) are fueling conversations.
• Stay updated with automated notifications on rising trends or sudden shifts.

Trying it out

You leverage the platform to discover what’s gaining interest, track how a trend is growing, and get notified when something starts changing. As such, the tool is useful across different functions like SEO, e-commerce, market research, and PR, and can consequently be employed to:

• spot cultural shifts before they go mainstream,
• adjust messaging before the competition catches on,
• find new keywords and content opportunities,
• prototype and launch items aligned with early demand.

Pricing

Glimpse has a free plan that allows 10 lookups per month. The paid plans start from $71/month, billed yearly.

8. ChatGPT (conversational AI for research and reporting)

Everybody knows ChatGPT; it’s a generative AI tool with a user base reaching 838 million as of the time of writing this article. Besides coding, it’s one of the most cost-effective tools you can use to analyze market data.

After all, ChatGPT can do anything from summarizing consumer reports to parsing survey data. Since it understands context, it can easily infer all the dominant sentiments and themes present in those reports.

What you can do with ChatGPT

• Fetch the latest trends, stats, and industry updates.
• Build customer personas or audience segments based on your data.
• Summarize research articles, PDFs, or survey results into presentation-ready reports.
• Can be used alongside existing workflows to draft or brainstorm new ideas.

Trying it out

You can start by pasting in a survey transcript or uploading anonymized interview notes, then ask ChatGPT to highlight important points. From there, you can request a structured summary that can be shared with your team or turned into a presentation outline.

Besides generating personas, ChatGPT can also create synthetic users that can be used for survey and research purposes. To learn how to do this, read our article on synthetic interview.

Pricing

ChatGPT is available in both free and paid tiers. The paid plans start from $20 per month.

9. Synthetic Users (synthetic research participants)

Synthetic Users takes a different approach to market research by letting you run studies without real participants. As in, it creates AI-generated personas that can be interviewed, surveyed, and tested just like actual users.

The platform claims to simulate realistic conversations, offering insights that go beyond what you’d normally get from a chatbot like ChatGPT.

Features

• Conduct in-depth synthetic interviews with follow-up questions and automated reports.
• Choose from four interview types, including problem exploration, concept testing, and fully custom scripts.
• Use RAG enrichment to incorporate your own proprietary data when building synthetic users.
• Plan multiple studies at once with Prisma, the platform’s multi-study research planner.
• Preview and adjust Synthetic Users with the “adjustment bureau” to fine-tune your virtual participants.
• Collaborate with your team by annotating and sharing interview findings.

Trying it out

So here’s how it works: you define the audience and set your research goal, and then the platform generates synthetic participants for you. You can either do this manually or use a virtual researcher. Although interview questions aren’t mandatory, you can add your own (up to 10 questions).

To make participants more realistic and sound like your actual audience, upload your own consumer data.

The results go beyond surface-level Q&A, as the output generated doesn’t just include interviews but also an exhaustive research report and knowledge graph that maps out the relationships between user pains, enablers, contexts, and outcomes. Synthetic Users also supports prototype testing and dynamic scripts where AI users and researchers engage in real-time conversations.

Pricing

Pricing is straightforward: interviews range from $2 to $27, surveys are $5, and RAG enrichment costs an additional $5 per Synthetic User (SU).

10. Artificial Societies (AI-powered simulations)

Artificial Societies is like Synthetic Users; however, it’s more about testing ideas before you put them out there. The idea is to test how new messages or features will impact your audience, without waiting weeks for feedback or running costly studies.

To do this, the software creates a digital society of AI personas, each with realistic preferences, motivations, and behaviors. These simulations let you see, in minutes, how people might respond to your content, products, and campaigns.

Features

• Build a society by describing your target audience or a personal society based on your social media network.
• Run simulations and get scores, comments, and summaries you can act on.
• Generate A/B tests and get multiple message variations in your tone of voice.
• Map relationships between personas through a social graph, and see how ideas influence user behavior.
• Chat with Amos, the built-in social intelligence engine, for quick interpretations of your results.

Trying it out

It works a lot like running a virtual focus group. Say you’re testing a new ad campaign: describe your audience, upload your message, and Artificial Societies simulates how thousands of lifelike personas would react.

You’ll see not just whether people “liked” it, but also how the idea spreads through a network, who it resonates with, and where it falls flat.

The tool further auto-generates content variants and tests them for you, so you can find the best headline or description without extra effort. If you want personalized results, you can always build a society from your own social media networks, like LinkedIn and X (formerly Twitter).

Pricing

Artificial Societies comes with a Free and Pro plan that starts at $40/month, billed yearly.

11. Lakmoos (synthetic user tool)

Lakmoos is another synthetic user tool that helps teams run research without respondents by building custom AI panels that simulate real-world customers. The idea is simple: get insights faster, cheaper, and more securely than traditional methods.

Features

• Run surveys, interviews, and market sizing in hours.
• Tap into validated AI panels tested with academic and industry partners.
• Save and reuse target groups with the Group Configurator.
• Enrich your studies with your own documents and reports.
• Track real-time mentions across news, blogs, and press using keywords.

What makes it different

Unlike ChatGPT, Lakmoos doesn’t rely on guesses or generic answers. ChatGPT can’t draw random samples, often skews toward U.S. cultural contexts, and may even use your data for training. That makes it risky and unrepresentative for real market research.

Lakmoos takes a different approach. It computes public opinion through analysis, quantifies distributions, explains the reasoning behind decisions, and keeps enterprise data fully private.

Pricing

Based on credit usage, available on request.

12. NextMinder (synthetic humans)

NextMinder replaces traditional surveys with “Minders,” its AI-powered synthetic humans. These virtual participants simulate consumer behavior with accuracy and can be promptly used for testing and scenario modeling.

Features

• Features
• Run project-based simulations with Base Minders, or opt for Minders Pro to have always-on, continuously updated synthetic humans.
• Explore results in multiple formats, from chat and persona profiles to dashboards populated with granular data.
• Run geo-specific tests, rapid product testing, and ongoing brand tracking.
• Integrate Minder Pro directly with your CDP, analytics, or marketing tools.

How it works

Like most synthetic research tools, you upload a survey or a questionnaire, define a goal, and select your audience. You can use presets or customize the audience based on your desired respondent attributes or brand affinities. Once generated, you can use these synthetic personas to refine targeting, pricing, and positioning.

Pricing

Available on request.

A Final Word

These days, there are plenty of AI market research tools online that can assist your research workflows, run surveys, and make sense of large amounts of market data.

However, their responses may not always be accurate. In fact, they can sometimes be completely wrong about the markets or customers you’re analyzing, especially when it comes to niche or unique demographics where reliable information isn’t easy to find.

Sometimes, the output might make sense, but it’s actually just generic information based on whatever is available on the internet, which can be misleading.

That’s why you need to be careful about the AI tools you choose. Because let’s be honest, not all of them work the way they’re advertised. So before using one, take the time to test it. Double-check and cross-verify the results instead of completely relying on them.

goal should be to find tools that work best for you, alongside you. After all, AI should help simplify market research, not replace human judgment.