In today’s AI-powered information landscape, simply having access to data is no longer a competitive advantage in market research. The real differentiator is how quickly and confidently researchers can turn fragmented information into insights they can act on and defend. Connected is not the same as intelligent, and pulling more sources into one place is not the same as reasoning over them well. Modern researchers need AI-powered tools that allow them to surface relevant insights, separate the signal from the noise, and turn disparate data into clear strategy.
With capital markets moving at a rapid clip, narratives shifting quickly, and competitive dynamics evolving overnight, professionals need tools that help them identify emerging trends, risks, and opportunities before they fully materialize.
That’s where modern market research tools come in. The ideal platform goes beyond just aggregating information. It also delivers a unified view across sources, applies AI to streamline discovery and analysis, and enables continuous monitoring of any topic you choose. With advanced search, alerting, and agentic capabilities, today’s leading tools help teams extract more value from each data point and spend more of their time on high-impact, strategic decision-making than on manual research.
How to Choose the Right Market Research Tool
When considering a market research platform, every organization should be asking questions throughout the process, such as:
- What types of content are available through the platform?
- Is the content offered through a platform already publicly available?
- Does the platform provide you with access to exclusive information and insights?
- Are the intelligence tools customizable to meet your needs?
- Can the platform be easily integrated into existing systems?
- Does the tool give you the ability to export data into Excel or other usable formats?
- Does the vendor offer adequate customer service? How is their customer feedback?
- Does the platform offer 24/7 tech support?
This guide will explain how professionals can make better, more confident decisions with market research tools. We’ll go over some of the best tools available today, and compare their features, strengths, limitations, and costs to help you decide which one is the right fit for your organization and use cases.
By the end of this guide, you’ll know:
- How to confidently navigate the market intelligence tool landscape
- How to identify which solution will be a good fit for your organization based on your specific market intelligence needs, priorities, and budget
- How eight of the top market research platforms available today (both paid and free) stack up against each other
- The capabilities, limitations, and price range of each tool
- A few of the ways organizations can use market intelligence to work more efficiently and effectively
AlphaSense
Best for: Holistic and comprehensive AI-driven market intelligence, combining premium external content sources with internal enterprise knowledge
AlphaSense is a leading enterprise-grade AI platform built for robust financial and market intelligence, combining 14+ years of AI development with an underlying content library of 500 million+ premium business documents. Unlike platforms that connect to third-party data providers, AlphaSense sources, licenses, and curates its own content universe end-to-end — giving users a single, traceable source of truth rather than a patchwork of external connections.
AlphaSense uses AI to turn a vast universe of financial and market data into structured, digestible, and actionable insights. Features such as integrated workflow support, agentic execution, and comprehensive monitoring and analysis tools empower users to make more confident, strategic decisions.
Consistently ranked as an industry leader by TrustRadius and G2, AlphaSense was also named a Leader in the inaugural Gartner® Magic Quadrant™ for Competitive and Market Intelligence (CMI) Platforms, positioned highest on Ability to Execute and furthest on Completeness of Vision.
Key AlphaSense features include:
Curated, Premium Datasets
AlphaSense combines public and private financial data with expert call transcripts, broker research, company documents, and news in one place — content AlphaSense itself sources and curates, not content pulled in through third-party connectors. By bringing together qualitative and quantitative insights, AlphaSense gives you the necessary context to make smarter and more informed decisions.
Premium External Market Insights
Our library of qualitative content includes:
- Wall Street Insights, a collection of equity research that features more than 1,700 broker sources, including Goldman Sachs, Morgan Stanley, Bank of America, and Citi
- Expert calls, which includes over 280,000+ interviews with pre-qualified experts and the ability to conduct your own 1:1 calls with 70% cost savings compared with traditional expert networks. This also includes Channel Checks, which are AI-led interviews with validated industry experts, which result in faster, more consistent, and more scalable insight extraction.
- Company documents and filings, including earnings transcripts, company presentations, SEC and global filings, ESG reports, and press releases
- Live transcripts that allow users to view past, current, and upcoming event transcripts in a calendar, as well as view transcripts of ongoing events in real time
- News, trade journals, and regulatory coverage
Company Perspectives
AlphaSense streamlines access to SEC filings, earnings and events transcripts, financial documents, and more. This means you can search across multiple companies and filings, explore historicals, build models, and benchmark performance without manually pulling individual documents.
Financial Data
AlphaSense provides access to the following crucial quantitative insights:
- Historical Financials & Estimates: Standardized statements and consensus data across 19,000+ public companies
- Sector-Specific KPIs: Detailed operating metrics from institutional-grade Canalyst models, backed by 4,500+ ready-to-use Canalyst models with detailed financials, operating metrics, and segment breakdowns that update automatically
- Transaction Intelligence: Details on nearly 1 million M&A deals and 750,000 private funding rounds, enriched with AI-generated deal rationale and strategic context
- Dynamic Peer Sets: 125+ pre-built industry comparables with sector-specific metrics
Internal Content Integration
Users can integrate and query their own internal content in AlphaSense alongside the premium external sources listed above. Examples of supported internal content include:
- Internal research, notes, and presentations
- CIMs and investment memos
- VDRs
- Reports from industry and market intelligence providers
- Emails, newsletters, web pages, and RSS feeds
Internal content is easily and securely integrated through our Ingestion API or enterprise-grade connectors, which support Egnyte, Microsoft 365/Sharepoint, Box, Google Drive, S3, and more. Our integration capabilities allow for more streamlined collaboration with members across your organization, driving productivity gains.
Our proprietary AI technology allows you to search across all internal and external company content to find crucial insights, catching what other platforms miss in a secure and automated way.
AI Search, Synthesis, and Execution
Unlike generic AI tools, our decision-grade AI is trained and benchmarked to understand sector dynamics, valuation methodologies, and market context just like an analyst would. Our suite of AI tools currently includes:
Generative Search
Generative Search is a conversational search and analysis tool that allows users to ask natural-language questions and source intelligence at scale from across premium external content, internal knowledge, and quantitative data sources. Each answer provides citations to the exact snippet of text from where the information was sourced, so that it can always be referenced back.
Deep Research mode automates the creation of in-depth analysis about companies, trends, or industry topics. The model conducts dozens of searches, parses through thousands of potentially relevant results, and reasons over all of it to produce comprehensive, detailed analysis about any topic. All of this happens in a fraction of the time it would take a human.
Additionally, with Generative Search, users can simply ask a natural-language question and the model will create a deliverable — including decks of any size, from a single-slide company profile to a 40-slide pitch book. Our slide agent supports template uploads, so the outputs are on-brand from the very first draft, no reformatting required. Users can leverage custom agents to automate the generation of recurring deliverables, from earnings summaries to sector updates, and have them land as polished drafts, not raw notes. Available on mobile.
SuperAnalyst (in beta)
SuperAnalyst is an always-on AI agent that orchestrates users’ entire workflows. With it, users can run entire multi-week projects, automate their day-to-day tasks, and streamline one-off common jobs with the same tool.
SuperAnalyst is an always-on, set-it-and-forget-it AI agent that:
- Can autonomously interact with all of the data and tools on the AlphaSense platform, including actions like downloading Canalyst Financial models, creating and editing Watchlists, and setting alerts.
- Has persona-specific, preconfigured set of skills purpose-built to help you automate your most repetitive work.
- Has persistent memory so nothing is lost between sessions or stages of a project.
- Can write and run code to perform data analysis, build visualizations, and create polished work products in PowerPoint or Excel
- Can run entirely on its own — triggered on a schedule (daily or weekly) or by events like new document alerts or model updates — so your most routine workflows just happen.
Workflow Agents
AlphaSense Workflow Agents are pre-built, end-to-end research workflows that transform hours of manual work into minutes with a single click — no blank page, no prompt engineering. Each agent is designed around a specific task: generating a company profile for an IB pitch, building a competitive battlecard for a competitive intelligence workflow running a diligence scan of a niche sector for a PE analyst, or surfacing market adoption signals for a corporate strategist.
For teams that want full control, Custom Workflow Agents let you build and automate your own recurring workflows on top of the same Generative Search technology. These custom agents can also be scheduled to operate autonomously, so your briefing or report gets sent to your inbox before you need it.
AlphaSense for PowerPoint
AlphaSense for PowerPoint is a native add-in that brings the power of AlphaSense into your working decks, reading your existing slides, understanding your structure, and making targeted edits. It brings AlphaSense's full content library of 500M+ documents spanning broker research, earnings transcripts, filings, expert interviews, and your firm's own internal documents directly into the side-pane, meaning you never have to leave PowerPoint to do research.
Within PowerPoint, users can ask AlphaSense to add a funding timeline, update the market overview with last quarter's earnings data, or generate a new competitive section based on recent filings or expert call transcripts. It can also review your slides: Ask it to scan for logical gaps, stale data, or inconsistencies between slides, and it will suggest improvements based on context pulled from the AlphaSense platform. Link slides to their Excel models so charts and tables refresh when assumptions change without re-exporting or re-pasting, and move between your decks and models with ease.
AlphaSense for Excel
AlphaSense for Excel brings that same intelligence into spreadsheets. For example, users can prompt the platform (in natural language) to add a quarterly revenue build with scenario cases, layer in an LBO debt schedule, or restructure the assumptions tab — and the model extends the logic instead of replacing it. Because the edits are surgical, existing formulas and dependencies stay intact.
Because AlphaSense draws from proprietary licensed content, you can ask within Excel to pressure-test your revenue assumptions against what management actually said on the last three earnings calls, or cross-reference a margin build against broker consensus. This enables you to catch where a model may have drifted from the underlying research, with full source traceability back to the original document.
Due Diligence Workspace
Due Diligence Workspace is a dedicated, AI-native environment purpose-built for deal teams. Sync your VDR documents (including via a native SS&C Intralinks integration), organize them alongside internal notes and memos, and run AI agents that flag risks, validate management claims against outside sources, and generate investment-committee-ready outputs in minutes — all in one secure environment.
Generative Grid
Generative Grid applies multiple genAI prompts to many documents at the same time to quickly provide organized answers to research questions at scale, in an easy-to-read table format. This enables clients to summarize documents using pre-built criteria to save time when executing repeatable workflows.
Smart Summaries
Every earnings transcript in AlphaSense features an AI-generated Smart Summary, which creates a tearsheet of key takeaways, analyst Q&A, and the most critical topics discussed in each call. AlphaSense users leverage Smart Summaries during earnings season to extract the most crucial insights from each call in just minutes, ensuring a comprehensive and timely view of key insights.
Sentiment Analysis
Sentiment Analysis, a natural language processing (NLP)-based feature, parses content and identifies nuances in language such as tone and subjective meaning. It then uses color coding to help users identify instances of positive, negative, and neutral sentiment throughout the document.
Check out our Sentiment Indices: sector-level indicators across 15+ sectors, aggregating sentiment across earnings transcripts and normalized on a -100 to +100 scale, updated every reporting cycle. This gives users a structured, cross-company read on where confidence is rising or falling, not just a single-document tone read.
Monitoring, Analysis, and Collaboration Tools
AlphaSense is equipped with the following tools to help users uncover insights faster:
- Workspaces to organize threads, content, and deliverables for your projects
- Customizable dashboards and tailored real-time alerts for monitoring companies and themes
- Notebook and commenting for team collaboration
- Table Tools for spreadsheet-style visualizations directly from filings
- Image Search to surface insights buried in charts
- Snippet Explorer for historical mentions of any topic in a single view
- Mobile app for real-time alerts and AI search on the go
- Automated Monitoring with real-time alerts on market movements, news, and competitor activity, plus regular company/topic snapshots
AlphaSense Pros:
- Extensive, licensed content database spanning broker research, expert calls, company documents, news, and regulatory sources — not dependent on customer-uploaded documents alone
- Deep quantitative financial data and analysis tools
- 14+ years of investment in domain-specific AI
- Agentic workflow execution alongside traditional search
- 4,500+ pre-built financial models that update automatically
- Live transcripts across past, present, and future events, viewable in real time
- Automated, customizable real-time alerts
- Internal note-taking, sharing, and collaboration features
- API and integration support for internal content
- Built for enterprise-level organizations and teams
- Mobile app with full content library, generative search, and alerts
- Strong customer support: 24/7 chat, Live Help, regular live education webinars
AlphaSense Cons:
- Robust visualization tools are limited to beta at this time
- Collaboration tools are limited to users with AlphaSense licenses
Pricing
Subscription prices vary based on the number of users (for small- and medium-sized companies) and are customized based on the organization (enterprise or company level subscription packages). Please contact the AlphaSense team to learn more.
Bloomberg Terminal
Best for: Real-time financial data and market analytics, with in-depth industry reports
Bloomberg Terminal is one of the oldest and most widely used research and analytics platforms in financial services, built primarily for public markets investment research rather than the broader market intelligence use cases — competitive tracking, private company research, industry benchmarking — this guide covers.
Bloomberg Terminal’s strongest data sources, including deep financial history, real-time market data, analyst coverage, are built around public issuers. Investors who need insights on early-stage or privately held companies will likely need to supplement with an additional platform.
Bloomberg has also invested in AI technology in recent years in order to stay competitive, such as introducing a conversational agentic AI interface called ASKB. Compared with AI-native platforms, however, Bloomberg’s AI tech stack is much more fragmented and struggles with synthesis and end-to-end workflows.
Additionally, ASKB remains oriented around Bloomberg's existing public markets content rather than a dedicated workflow for private company research or unstructured qualitative synthesis, which is where AI-native platforms built specifically for that use case have an advantage.
Related Reading: Bloomberg Terminal Alternatives
Bloomberg Terminal incorporates the following key features:
Comprehensive Financial Data
Bloomberg Terminal provides access to full financial statements for a wide array of public, and to a lesser extent, private companies. It provides historical and forward-looking data (such as revenue, margins, EPS, cash flow, etc.), as well as customizable time series for trend analysis and modeling. This data can also be easily exported to Excel for valuation or ratio analysis. However, coverage and depth can vary significantly for early-stage or privately held companies.
Bloomberg Intelligence
Bloomberg puts out independent research across industries and technology themes via its in-house analyst team, including market sizing forecasts and investor surveys. This is most valuable for benchmarking against known industries and public comps rather than discovering private companies directly.
Real-Time Qualitative Insights
In addition to offering real-time financial market data for stocks, bonds, commodities, currencies, and derivatives, Bloomberg also offers real-time news coverage of companies, industries, and markets worldwide via Bloomberg News. It also provides access to equity research reports from leading analysts, as well as SEC filings, earnings call transcripts, press releases, and corporate events directly within the platform.
Analytics and Modeling Tools
Bloomberg Terminal incorporates various analytics tools to support financial analysis and benchmarking:
- Built-in financial ratio libraries
- Valuation metrics such as P/E, EV/EBITDA, ROIC, P/B, and custom multiples
- Peer comparison tool
- Equity screening tool
Additionally, the platform offers advanced charting and financial modeling tools for data visualization and analysis.
Agentic AI Capabilities
Bloomberg recently debuted AskB, its conversational agentic AI interface that supports natural-language queries to run multi-step research workflows. Through a partner integration, GLG's expert transcript library is also accessible via ASKB, giving users a path to expert-sourced qualitative content alongside Bloomberg's existing data.
AI-Powered Document Insights
Bloomberg provides users with robust AI-powered search and summarization capabilities, allowing them to query and extract insights from financial documents using natural language — resulting in enhanced and more efficient workflows.
Bloomberg Pros:
- Real-time qualitative and quantitative insights, including proprietary, premium content sets
- Global coverage and deep insights, particularly for public markets
- Strong analytics and integration into research workflows
- Bloomberg Intelligence provides robust sector trend research from an in-house analyst team
- Tools for internal collaboration and shared workspaces
- Custom charts, monitors, and alerts for market information
- AI-powered search and summarization capabilities for accelerating workflows
- Offers ASKB, a newer conversational AI interface, offering natural-language search across news, research, and Terminal data with transparent citations
- Access to GLG expert transcripts via ASKB
Bloomberg Cons:
- Primarily optimized for public markets and established companies
- Limited support for early-stage or private company research
- No dedicated private company diligence workspace comparable to some AI-native competitors
- Steep learning curve for new users
- Limited broker research access for corporate users
- AI and genAI capabilities are less robust and well-integrated than in AI-native competitor platforms
- Provides access to GLG expert transcripts, but no live expert calls or expert network functionality
- Legacy UI, command-driven navigation, and multiple steps for common tasks
Pricing
Bloomberg does not publicly disclose its pricing, but according to industry sources, Bloomberg Terminal is one of the higher-priced options in the market, with annual subscription fees at $31,980 for a single terminal and $28,320 per terminal per year for multiple terminals. Bloomberg also bundles multiple services into its product, making it clunky and complex for the average user.
Semrush
Search engine marketing, competitor keyword research, content marketing, and SEO
Semrush, now an Adobe company as of April 2026, is a SaaS and content marketing tool utilizing keyword research, analysis, and SEO techniques to help users grow their online traffic organically. The tool can help improve rankings using pay-per-click advertising, social media management, content marketing, and e-commerce competitor analysis.
Digital marketers, SEO professionals, content creators, small businesses, and website owners often rely on Semrush to grow and improve their online presence. With Semrush, users can track and analyze their website's search engine rankings. Semrush is also useful in competitive intelligence, particularly in monitoring competitors' online marketing activities, tracking their ranking, and reviewing keywords used.
However, Semrush is not a holistic, comprehensive market intelligence tool. It lacks access to premium or proprietary content not found on the public web, and its AI features are built for SEO and content workflows rather than synthesizing insights across proprietary financial, expert, and internal content. Semrush is a CI tool, but it has a very narrow competitive scope, focusing on web visibility and content marketing strategies instead of product roadmaps, organizational shifts, and deep competitive insights.
Semrush features include:
SEO Tools
This is the key value offering of the platform and why most users choose Semrush. Semrush offers multiple tools, such as keyword research, site auditing, and link tracking, to help users measure their SEO performance and build effective SEO strategies.
Content Marketing Tools
With its content marketing tool suite, Semrush supports writers in creating SEO-friendly content, as well as optimizing existing articles for SEO. Available tools include topic research, SEO Writing Assistant, AI Article Generator, and Content Audit.
Competitor Analysis Tools
Semrush helps users benchmark competitors’ online visibility and overall market positioning. It provides a snapshot of any competitor’s total online traffic, traffic sources, top keywords, and backlinks. It also audits competitors’ top ranking content by traffic, keyword performance, backlinks, and engagement. This allows users to get a sense of their competitors’ content strategies, as well as how they can shape their own strategy to better compete.
Alerts and Trend Monitoring
Semrush provides daily updates on keyword shifts, ranking volatility, and competitor domain changes. This enables early detection of competitor shifts or new marketing pushes.
AI Features
Semrush incorporates several AI features for competitive intelligence, which include:
- AI Toolkit – tracks visibility across both traditional search and emerging AI platforms
- Copilot – a personalized AI assistant that suggests tasks, generates reports, and provides optimizations automatically
- ContentShake AI – generative AI content creation that produces articles and outlines optimized for SEO
- AI Search Site Audit – flags technical issues that prevent AI bots from crawling or citing your pages; offers tweaks for improving your site’s citability by LLMs
Semrush Pros:
- Provides a wide range of digital marketing tools and services
- Offers detailed insights into competitors' online marketing activities
- Offers timely alerts and updates on competitor domain and SEO performance changes
- User-friendly interface and features
- Provides in-depth analysis of website traffic and rankings
- Offers customized reports and recommendations for optimization
- Incorporates some AI search and content creation tools
Semrush Cons:
- No premium or proprietary content — only access to public web data
- Not purpose-built for full-scale competitive or market intelligence
- AI features are not built for insight discovery or deep market research
- Some features are only available on higher-tier plans
- Keyword data accuracy can be inconsistent for niche keywords
- No real-time data access
Pricing
Semrush offers tiered subscription plans — Pro, Guru, Business, and Enterprise — plus the Semrush One bundle, which pairs core SEO tools with its AI Visibility Toolkit. Pricing scales with team size, usage limits, and feature access. Contact Semrush directly for pricing details.
Tableau
Best for: Transforming large complex datasets into interactive, sharable dashboards and visual analytics
Tableau is a business intelligence tool mostly built for end-to-end analytics. Tableau primarily enables organizations to analyze and visualize their internal data assets. In this way, it is more of an organizational intelligence platform than it is a market analysis tool. By giving organizations a better way to store, organize, catalog, and leverage their own internal data, the Tableau platform elevates data prep, analysis, governance, and collaboration.
Tableau’s platform helps organizations work more efficiently to centralize data and democratize access for team members in every department, regardless of their location. By ensuring all team members throughout an organization can see the same data at the same time, Tableau helps organizations streamline their internal communication and decision-making efforts.
However, Tableau does not offer access to any of the external content sets that are integral for holistic market research, such as company documents, news, expert call transcripts, and broker research. Tableau incorporates AI technology for streamlining internal data analysis, but not for extracting insights from external sources.
Tableau includes the following key features:
Data Visualization and Dashboards
Tableau incorporates easily buildable, customizable dashboards, as well as various types of charts. These are highly useful for visualizing and monitoring performance of the business, as well as daily operations and logistics.
AI Features
Tableau incorporates several AI features, including:
- Tableau Agent – conversational generative AI assistant that allows users to ask natural-language questions and receive visualizations, explanations, and suggested next steps
- Tableau Pulse – AI-powered metric monitoring that continuously watches KPIs and surfaces relevant developments; provides summaries and alerts for proactive monitoring
Additionally, Tableau incorporates AI tools that provide automated trend explanations, predictive analytics, and anomaly detection in data. Tableau’s AI is powered by Salesforce’s Einstein generative AI and its Einstein Trust Layer, which provides governance, security, and data privacy protections for AI workflows. A newer agentic layer, Tableau Next, extends this into automated, workflow-embedded analytics built on Salesforce’s Agentforce architecture.
Integrations
Tableau integrates with various structured data sources (such as Excel, Salesforce, Snowflake, and Google BigQuery) and is able to combine disparate internal data sets into a centralized view.
Tableau Pros:
- Advanced data visualization and graphing capabilities
- Incorporates AI features for streamlining internal data analysis
- Mobile support and responsive dashboard
- Able to handle large amounts of data
- Easy to implement
- Efficient collaboration with teammates through data-sharing capabilities
Tableau Cons:
- No built-in access to external market intelligence content, such as company documents, news, expert call transcripts, and broker research
- No AI search technology for extracting insights from external sources
Pricing
Tableau uses role-based per-user pricing (Viewer, Explorer, Creator) across its Standard and Enterprise tiers, plus a premium Tableau+ tier for advanced AI and agentic analytics features. Costs scale with license type, deployment model (Tableau Cloud vs. Tableau Server), and add-ons. Contact Tableau directly for pricing details.
Answer the Public
Best for: Uncovering real user search questions to inform SEO content strategy and topic ideation
Answer the Public, now owned by NP Digital, is a search listening and keyword ideation tool designed for SEO professionals and content marketers. It surfaces autocomplete-based queries from search engines, revealing the intent behind people’s searches.
Answer the Public is best suited for generating new content ideas, collecting market research data, creating more effective marketing campaigns, or ensuring your new product will address your target market’s biggest pain points.
However, Answer the Public is not a complete market research tool, as it lacks access to key content sets such as company documents, news, expert transcripts, and broker research. Recently, the tool has added AI-powered content generation and opportunity-tagging features, but these capabilities are not designed for enterprise-scale market intelligence workflows.
Answer the Public includes the following key features:
Search Listening
Answer the Public taps into autocomplete data from major search engines (and increasingly from social media and AI platforms) to show the actual questions and phrases people are typing online, giving you insight into user intent and emerging search trends. It also sends automatic notifications when patterns shift for selected topics.
Visual Keyword Mapping
Answer the Public presents keyword data in intuitive visual formats, helping users quickly spot content gaps and emerging themes in customer searches.
Trend Comparison Tools
Answer the Public enables side-by-side comparison of keyword data across time periods to track shifts in public interest or consumer behavior.
Answer the Public Pros:
- Helps perform keyword research
- Fast idea generation for early-stage content planning
- Offers comparative search behavior analysis tools
- Offers CSV data export capabilities
- Easy to use, intuitive interface
- Now includes AI-powered content generation and personalized opportunity suggestions
Answer the Public Cons:
- Not designed for enterprise-level strategic intelligence or competitive analysis
- Only offers high-level, publicly available data
- Lacks external content sets for holistic market research, such as company documents, news, expert transcripts, and broker research
- AI capabilities are not built for comprehensive market intelligence or financial research workflows
- Limited depth of analytics or historical data
- No qualitative or contextual details
- Not suitable for enterprise reporting
Pricing:
Answer the Public offers three subscription options:
- Starter: For individuals with limited search needs
- Growth: For teams of up to three users who require more searches
- Business: For teams of up to 10 users and even more searches
Answer the Public also offers custom plans for those with needs exceeding the ones outlined above.
Free Market Research Tools
If none of the tools above fit into your budget, there are plenty of free market research tools out there that offer valuable insights.
Google Trends – a search trend analysis tool that can help you uncover search trends, discover subtopics, or see whether search terms are rising or falling in popularity. While useful for directional insight, it does not provide absolute search volume or deep qualitative analysis.
Google Analytics – a free data analysis tool that uses machine learning to provide valuable consumer insights and digital behavior analytics. It does not serve as a comprehensive market analysis tool due to lack of external content sets and qualitative research capabilities. .
Pew Research Center – a nonpartisan research organization that conducts original public opinion polling, demographic research, and social science studies. While it provides high-quality public research, it does not focus on business intelligence, competitive analysis, or real-time monitoring.
Try AlphaSense For Free
With AlphaSense’s AI-based smart search functionality, agentic workflows, customizable alerts, intuitive user interface, and extensive library of premium and proprietary content, it is truly the only AI-powered market research solution your business needs to succeed.
If you’re interested to see how AlphaSense compares with other market research platforms — including Bloomberg Terminal, PitchBook, CB Insights, GLG, Third Bridge, and many more — don’t miss our AlphaSense Compares page.
