10 Best Agent Skills for Market & Trend Research in 2026 (Expert Picks)
AI agents are changing the way businesses conduct market and trend research.Traditional market research often requires analysts to manually collect information, review reports, analyze competitors, clean datasets, and create presentations. However, AI agents powered by specialized skills can now automate many parts of the research workflow.
Nowadays, the most valuable AI capabilities are no longer limited to answering questions. The real advantage comes from AI agent skills, specialized abilities that allow agents to discover market trends, analyze competitors, process business data, identify customer insights, and generate research reports.
From competitor intelligence to market forecasting, we tested and ranked the 10 most useful AI agent skills for market and trend research in 2026.
What Are AI Agent Skills for Market Research?
AI agent skills are specialized capabilities that allow AI agents to complete specific research tasks automatically.
For example:
Market Discovery Skill helps AI identify emerging industries and market opportunities.
Competitor Intelligence Skill analyzes competitors, products, and positioning.
Data Analysis Skill transforms raw datasets into business insights.
Trend Forecasting Skill predicts future market movements.
Report Generation Skill creates professional research documents and presentations.
Instead of using AI as a simple question-answering assistant, users can delegate complete market research workflows to AI agents.
The 10 Best AI Agent Skills for Market & Trend Research in 2026
| Rank | AI Agent Skill | Best For | Example Tools |
|---|---|---|---|
| 1 | Data Analysis & Visualization Skill | Turning raw market data into actionable insights | Powerdrill Bloom |
| 2 | Spreadsheet Analysis Skill | Automating Excel workflows and business data analysis | Powerdrill Bloom |
| 3 | Report Generation Skill | Creating research reports and presentation-ready insights | Powerdrill Bloom |
| 4 | Market Trend Discovery Skill | Identifying emerging industries and market opportunities | Perplexity AI,Powerdrill Bloom |
| 5 | Research & Knowledge Discovery Skill | Gathering and analyzing market information | ChatGPT Deep Research |
| 6 | Competitor Intelligence Skill | Tracking competitors and market positioning | AlphaSense,Powerdrill Bloom |
| 7 | Customer Insight Analysis Skill | Understanding customer behavior and user trends | Dovetail,Powerdrill Bloom |
| 8 | Document Intelligence Skill | Extracting insights from reports and research papers | Claude |
| 9 | Market Forecasting Skill | Predicting future market movements | DataRobot,Powerdrill Bloom |
| 10 | Web Data Collection Skill | Monitoring online market signals automatically | Browse AI |
1. Data Analysis & Visualization Skill
Best for: Turning raw market data into actionable insights and visual reports
Data analysis and visualization is one of the most valuable AI agent skills for market and trend research in 2026. Businesses collect massive amounts of market data, customer information, sales records, and operational metrics, but transforming this raw information into meaningful insights often requires significant time and technical expertise.
AI agents with data analysis skills can understand structured datasets, identify important patterns, detect anomalies, recommend relevant visualizations, and turn complex data into business-ready insights.
For market researchers, this skill helps answer important questions such as:
Which customer segments are growing fastest?
What products or markets show the strongest potential?
What trends appear in historical business data?
Where are opportunities or risks emerging?
Powerdrill Bloom: AI Agent for Data Analysis and Visualization
Powerdrill Bloom is an generous AI agent designed for data-driven workflows, helping users transform raw business data into insights, visualizations, and presentation-ready reports. Instead of manually cleaning spreadsheets, writing formulas, or building charts, users can upload files and let Bloom analyze the data automatically.
With Powerdrill Bloom, users can:
Analyze Excel, CSV, TSV, and PDF files
Automatically clean and prepare datasets
Discover trends, patterns, and anomalies
Generate recommended charts and visualizations
Explore data through interactive analysis
Turn insights into business reports and presentations
Unlike traditional spreadsheet tools that require manual formulas and dashboard creation, Powerdrill Bloom combines data preparation, analysis, visualization, and reporting in one AI-powered workflow.
Key Use Cases
| Use Case | How Powerdrill Bloom Helps |
|---|---|
| Market Analysis | Identify growth trends and business opportunities from datasets |
| Customer Research | Analyze customer segments and behavior patterns |
| Sales Analysis | Discover revenue trends and product performance |
| Business Reporting | Convert data insights into visual reports |
Pricing
Paid plans start at $13.27/month.
2. Spreadsheet Analysis Skill
Best for: Automating spreadsheet workflows and extracting insights from business data
Spreadsheets remain one of the most widely used tools for market research and business analysis. However, working with large Excel files often involves repetitive tasks such as cleaning messy data, creating formulas, building charts, and preparing reports.
In 2026, AI spreadsheet skills allow agents to go beyond simple calculations. They can understand spreadsheet structures, analyze relationships between data points, and automatically generate insights from complex files.
A spreadsheet analysis skill helps professionals:
Process large datasets faster
Reduce manual Excel work
Identify hidden patterns
Create analysis-ready reports
Powerdrill Bloom: AI Agent for Spreadsheet Analysis
Powerdrill Bloom helps users automate spreadsheet-based research workflows by turning raw Excel and CSV files into meaningful insights. Users can upload spreadsheets and ask natural language questions instead of writing complex formulas or SQL queries.
With Powerdrill Bloom, users can:
Analyze Excel and CSV files automatically
Clean and organize spreadsheet data
Find trends and unusual patterns
Generate charts without manual formatting
Create visual analysis from spreadsheet data
Export findings into presentation-ready formats
Unlike traditional spreadsheet workflows, Powerdrill Bloom acts as an AI data analyst that helps users move from raw spreadsheets to final insights faster.
Key Use Cases
| Use Case | How Powerdrill Bloom Helps |
|---|---|
| Market Research Data | Analyze survey results and market datasets |
| Financial Analysis | Understand revenue and cost trends |
| Marketing Analytics | Evaluate campaign and customer data |
| Operations Analysis | Identify inefficiencies and improvement areas |
Pricing
Paid plans start at $13.27/month.
3. Report Generation Skill
Best for: Transforming research findings into professional business reports
Market research does not end with collecting information and analyzing data. The final challenge is communicating insights clearly through reports, presentations, and executive summaries.
AI agents with report generation skills can automatically organize research findings, summarize key insights, create visual elements, and produce professional deliverables.
This skill helps teams reduce the time spent on:
Writing research summaries
Formatting reports
Creating presentation slides
Preparing executive updates
Powerdrill Bloom: AI Agent for Research Report Generation
Powerdrill Bloom helps users transform analyzed data into presentation-ready reports. After analyzing datasets, Bloom can automatically organize insights into clear visual narratives, making it easier for teams to share findings with stakeholders.
With Powerdrill Bloom, users can:
Generate structured business reports
Create visual summaries from data insights
Build presentation-ready outputs
Convert analysis results into decision-making materials
By connecting data analysis and report generation in one workflow, Powerdrill Bloom helps users move from raw information to actionable recommendations without switching between multiple tools.
Key Use Cases
| Use Case | How Powerdrill Bloom Helps |
|---|---|
| Market Reports | Create structured market analysis documents |
| Executive Presentations | Turn insights into presentation materials |
| Business Reviews | Summarize important metrics and trends |
| Investor Updates | Prepare data-backed business summaries |
Pricing
Paid plans start at$13.27/month.
4. Market Trend Discovery Skill
Best for: Identifying emerging markets, industry shifts, and new business opportunities
Market trend discovery is a fundamental skill for researchers, investors, and business strategists. Companies need to understand changing customer behavior, emerging technologies, and industry movements before making important decisions.
AI agents with market trend discovery skills can analyze large amounts of information from different sources, identify important signals, and summarize emerging opportunities.
These agents can help users:
Monitor industry changes
Discover emerging markets
Analyze consumer interests
Identify future opportunities
Perplexity: AI Agent for Market Trend Discovery
Perplexity helps users explore market trends by combining AI reasoning with web-based information discovery. Instead of manually searching through dozens of sources, users can ask research questions and receive organized summaries.
With Perplexity, users can:
Discover emerging market trends
Analyze industry developments
Compare companies and products
Summarize market information
Explore new business opportunities
Key Use Cases
| Use Case | How Perplexity Helps |
|---|---|
| Industry Research | Identify growing sectors and technologies |
| Startup Research | Explore new market opportunities |
| Competitive Research | Compare companies and products |
| Trend Monitoring | Track important market changes |
Pricing
Pro starts at $17/month.
5. Research & Knowledge Discovery Skill
Best for: Automating information gathering and market research workflows
Research and knowledge discovery skills allow AI agents to collect, organize, and analyze information from multiple sources.
Traditional research often requires analysts to spend hours searching websites, reading reports, and summarizing findings. AI research skills can automate these steps by understanding user goals and generating structured insights.
This skill is especially useful for:
Industry research
Business analysis
Product research
Strategic planning
ChatGPT Deep Research: AI Agent for Knowledge Discovery
ChatGPT Deep Research helps users conduct complex research by analyzing multiple sources and generating detailed summaries. Instead of manually collecting information, users can delegate research tasks and receive structured findings.
With ChatGPT Deep Research, users can:
Investigate complex topics
Analyze multiple sources
Summarize research findings
Generate detailed reports
Support strategic decision-making
Key Use Cases
| Use Case | How ChatGPT Deep Research Helps |
|---|---|
| Market Research | Collect information about industries and markets |
| Product Research | Compare products and competitors |
| Business Strategy | Support strategic decisions with insights |
| Academic Research | Summarize papers and studies |
Pricing
Availablethrough ChatGPT plans.
6. Competitor Intelligence Skill
Best for: Analyzing competitors, market positioning, and business strategies
Understanding competitors is a critical part of market research. However, manually tracking competitor products, pricing changes, customer feedback, and business strategies can be time-consuming.
AI agents with competitor intelligence skills can continuously collect and analyze competitive information, helping businesses understand where they stand in the market and identify potential opportunities.
This skill helps teams:
Monitor competitor activities
Compare products and features
Analyze market positioning
Identify competitive advantages and risks
AlphaSense: AI Agent for Competitive Intelligence
AlphaSense is an AI-powered market intelligence platform that helps professionals analyze company information, industry reports, financial documents, and expert insights. Instead of manually reviewing large amounts of business information, users can search across multiple sources and extract relevant competitive insights.
With AlphaSense, users can:
Track competitor developments
Analyze company strategies
Review industry trends
Extract insights from reports and documents
Monitor market changes
Key Use Cases
| Use Case | How AlphaSense Helps |
|---|---|
| Competitor Research | Compare companies, products, and strategies |
| Market Intelligence | Monitor industry movements |
| Investment Research | Analyze company performance and opportunities |
| Strategic Planning | Support business decisions with competitive insights |
Pricing
Custom pricing.
7. Customer Insight Analysis Skill
Best for: Understanding customer behavior, preferences, and market demand
Customer insights are essential for understanding why users choose certain products, what problems they experience, and what drives purchasing decisions.
Traditional customer research often involves analyzing surveys, reviews, interviews, and feedback manually. AI agents with customer insight skills can process large amounts of customer data and identify meaningful patterns.
This skill allows businesses to:
Understand customer needs
Identify user segments
Analyze feedback trends
Discover product opportunities
Dovetail: AI Agent for Customer Research and Insights
Dovetail is a customer research platform that helps teams organize, analyze, and extract insights from user research data. It helps researchers transform unstructured customer information into searchable knowledge and actionable findings.
With Dovetail, users can:
Analyze customer interviews
Organize research notes
Identify recurring themes
Discover customer pain points
Share research insights with teams
Key Use Cases
| Use Case | How Dovetail Helps |
|---|---|
| User Research | Analyze interviews and customer conversations |
| Product Research | Identify user needs and feature opportunities |
| Customer Feedback | Discover common problems and trends |
| Market Validation | Understand customer demand |
Pricing
Custom pricing.
8. Document Intelligence Skill
Best for: Extracting insights from market reports, research papers, and business documents
Market researchers often rely on large amounts of documents, including industry reports, analyst research, whitepapers, financial reports, and customer studies.
Reviewing these documents manually can take hours. Document intelligence skills allow AI agents to understand long-form content, extract key information, and summarize important findings.
This skill helps users:
Analyze large reports faster
Extract important data points
Compare multiple documents
Generate research summaries
Claude: AI Agent for Document Analysis
Claude is known for its ability to process and understand long documents, making it useful for analyzing research materials and business reports. Users can upload documents and ask questions to quickly extract relevant information.
With Claude, users can:
Summarize industry reports
Analyze research papers
Extract key insights from documents
Compare information across multiple files
Generate structured summaries
Key Use Cases
| Use Case | How Claude Helps |
|---|---|
| Industry Reports | Summarize long market research documents |
| Business Analysis | Extract important company information |
| Academic Research | Analyze papers and studies |
| Competitive Research | Compare multiple reports |
Pricing
Pro starts at $20/month.
9. Market Forecasting Skill
Best for: Predicting future market trends and business opportunities
Market forecasting helps businesses make better strategic decisions by estimating future demand, growth opportunities, and potential risks.
AI agents with forecasting skills can analyze historical data, market signals, and business metrics to generate predictions and support scenario planning.
This skill can help organizations:
Predict market growth
Identify future opportunities
Estimate demand changes
Evaluate different business scenarios
DataRobot: AI Agent for Predictive Analytics
DataRobot provides AI-powered predictive analytics capabilities that help organizations build forecasting models and analyze future outcomes. It allows businesses to use machine learning models to identify patterns and generate predictions from historical data.
With DataRobot, users can:
Build predictive models
Analyze future scenarios
Forecast business outcomes
Identify important data patterns
Support data-driven decisions
Key Use Cases
| Use Case | How DataRobot Helps |
|---|---|
| Demand Forecasting | Predict future customer demand |
| Market Analysis | Identify growth opportunities |
| Business Planning | Evaluate possible scenarios |
| Risk Analysis | Detect potential challenges |
Pricing
Custom pricing.
10. Web Data Collection Skill
Best for: Automating online data gathering and market monitoring
A large amount of market intelligence exists across websites, product pages, review platforms, and online databases. However, manually collecting this information is repetitive and difficult to maintain.
AI agents with web data collection skills can automatically gather online information, monitor changes, and support ongoing market research workflows.
This skill helps teams:
Collect market data automatically
Monitor competitor updates
Track pricing changes
Gather online insights
Browse AI: AI Agent for Web Data Collection
Browse AI enables users to automate data collection from websites without building complex scraping workflows. It allows AI agents to interact with websites and extract useful information for research purposes.
With Browse AI, users can:
Extract information from websites
Monitor competitor pages
Track product changes
Collect market data automatically
Automate repetitive browsing tasks
Key Use Cases
| Use Case | How Browse AI Helps |
|---|---|
| Competitor Monitoring | Track website and product updates |
| Market Research | Collect online market information |
| Price Tracking | Monitor pricing changes |
| Data Collection | Automate repetitive web tasks |
Pricing
Paid plans start at $19/month.
How Agent Skills Transform Market Research in 2026
Market research is moving from manual information collection to AI-powered workflow automation. In the past, researchers often needed to spend hours searching for information, organizing spreadsheets, analyzing competitors, and preparing reports. With AI agent skills, these processes can become faster and more efficient. Different skills can handle different parts of the research workflow:
Research & Knowledge Discovery Skills help collect information from multiple sources and summarize key findings.
Competitor Intelligence Skills analyze market positioning, products, and business strategies.
Customer Insight Skills identify user preferences, feedback patterns, and market demand.
Data Analysis & Visualization Skills transform raw datasets into actionable insights.
Report Generation Skills turn research findings into professional business documents and presentations.
The biggest change is that AI agents are no longer limited to answering questions. By combining multiple specialized skills, they can complete end-to-end research workflows — from discovering market signals to presenting decision-ready insights. For businesses working with large amounts of structured data, data analysis skills are becoming especially important. Tools like Powerdrill Bloom help users analyze spreadsheets, discover trends, create visualizations, and generate reports without requiring advanced coding skills.
As AI agents continue to evolve, successful market research will depend not only on the quality of information collected but also on how effectively AI skills can transform that information into business decisions.
Final Thoughts
AI Agent Skills are reshaping how businesses approach market research in 2026. By combining specialized capabilities such as research, data analysis, visualization, and report generation, AI agents can automate complex workflows and help teams make faster, data-driven decisions.
For businesses working with large amounts of data, skills like data analysis and reporting are especially valuable. Powerdrill Bloomdemonstrates how AI agents can transform raw datasets into actionable insights, visualizations, and professional reports.
The future of market research is not about replacing human expertise, but empowering professionals with the right AI skills to reduce repetitive work and focus on higher-value strategic decisions.
FAQs
What are AI agent skills for market research?
AI agent skills are specialized capabilities that allow AI systems to automate research tasks, analyze information, and generate insights.
Which AI agent skill is best for market analysis?
Data analysis and visualization skills are highly useful for transforming business datasets into actionable market insights.
Can AI agents analyze Excel files for research?
Yes, AI agents like Powerdrill Bloom can analyze Excel files, discover patterns, create charts, and generate reports.
How do AI agent skills improve market research?
They reduce manual work by automating data collection, analysis, visualization, and reporting workflows.
Is Powerdrill Bloom useful for market research?
Powerdrill Bloom helps researchers analyze business data, identify trends, visualize insights, and create professional reports.