Best Market Intelligence Tools for Food and Beverage Companies in 2026 

 
Food and beverage market intelligence draws on more data and sources than ever. The challenge is knowing which platforms, datasets and research can best answer your business questions.

A food or ingredient manufacturer might need to size an opportunity in a new market, understand how demand is changing further downstream, compare competitor performance, or track what major customers are investing in. Other questions require a closer view of consumer preferences, retail sales, product launches, commodity markets, or trade flows. 

Different tools answer different parts of these questions, often using very different types of data and research. There is no single best platform for every food and beverage intelligence need. 

Rather than ranking vendors, this guide compares the main types of food and beverage market intelligence tools, where each is most useful, and how to choose the right combination. 

For a broader comparison of enterprise intelligence technologies, see our guide to building a competitive and market intelligence stack. 

Quick comparison: Which food and beverage market intelligence tools do you need?

If you need to…	Best suited to	Providers to consider
Understand what consumers want and how preferences are changing	Consumer research and consumer trends	Mintel, FMCG Gurus, Kantar, quantilope
Measure what shoppers actually buy	Retail sales and shopper data	NIQ, Circana, Kantar Worldpanel, SPINS
Track product launches and innovation patterns	Product launch and innovation data	Innova, Mintel GNPD
Compare menus and foodservice trends systematically	Foodservice and menu data	Datassential, Technomic
Size markets and compare opportunities	Market sizing and category research	Euromonitor, GlobalData, Mintel
Understand commodities, production and trade flows	Agricultural, commodity and trade data	Expana, Kynetec, FAOSTAT, UN Comtrade, Valona
Compare competitor performance and earnings	Financial data and earnings analysis	Valona, company filings and earnings materials
Continuously track competitors, customers and markets	Market and competitive intelligence	Valona and other CMI platforms

Many platforms span several of these areas. The table is intended to show the type of evidence each can contribute, rather than put every vendor into a single category. 

Consumer research and consumer trends 

Consumer research tools differ in both what they measure and how closely the research can be tailored to your question. 

Some providers specialize in food and beverage. FMCG Gurus, for example, conducts consumer research across food, drink, ingredients and supplements. Mintel combines dedicated food and drink research with consumer, market and product-launch data across a broader range of industries. Platforms such as quantilope enable teams to run their own consumer research and tracking using automated research methods, while broader research providers such as Kantar can provide consumer evidence across markets and categories.

The choice is not necessarily between buying an existing dataset and commissioning a study. Many providers offer both. Existing surveys, panels and reports can help benchmark consumer attitudes and behaviours, while custom research can investigate a specific audience, market, concept or business question. 

But consumer research is still only one part of the evidence. A company investigating growing demand for high-protein foods might use survey research to understand changing attitudes toward protein, then look at retail performance, product launches, menu changes, ingredient investments, and how brands and suppliers are responding. 

Local and business news, trade publications, company announcements, and published research can add another layer of evidence, showing where a trend is appearing, which companies are responding, and how developments differ between markets. Rather than relying on one-off searches of the general web, Valona continuously monitors a maintained set of company, industry, local, regulatory, and other external sources to help teams track these developments over time.

Retail sales and category data 

Use retail and shopper data when you need to understand what consumers are buying and how categories, brands, and competitors are performing. 

Providers such as NIQ and Circana provide retail measurement and category data covering areas such as sales, market share, distribution, pricing, and promotions. Worldpanel by Numerator provides consumer and shopper panel data, while SPINS specializes in retail data for natural, organic, and wellness products. 

These are typically highly structured datasets. Analysis can depend on how categories are defined, which retailers and channels are covered, the level of product and geographic detail available, and the time period being analysed. For teams working across multiple markets, differences in coverage and classification can be as important as the headline numbers. 

The data can help answer questions such as which brands are gaining share, how branded products are performing against private label, where distribution is expanding, and how pricing is changing.  
 
It does not necessarily explain what is driving those changes. Consumer research can provide evidence on changing preferences, while external market signals can add context on competitor strategy, retailer activity, regulation, investment, or supply. 

Product launch and innovation data 

Use product launch data when you need to understand how brands, categories, and product propositions are changing. 

Mintel GNPD and Innova Market Insights track new products across dimensions such as ingredients, formulations, flavors, claims, formats, and packaging. This structured data makes it possible to compare launch activity across competitors, categories, markets, and time periods. 

For example, teams can track whether protein fortification is spreading into new categories, which ingredients or flavors are appearing more frequently, or how health and sustainability claims are changing. 

The important limitation is that a launch shows what a company has introduced, not how well the product is performing. Retail data can provide evidence of sales and distribution, while consumer research can help explain the needs and preferences behind demand. 

Foodservice and menu data 

The right approach depends on whether you need to track specific companies or measure what is happening across the foodservice market. 

Continuous monitoring of QSRs, restaurant groups, suppliers, local and industry news, and other external sources can reveal new menu launches, limited time offers, partnerships, expansion, and other changes at important competitors or customers. For franchise-led businesses, monitoring franchisees and regional operators can provide additional visibility into where competitors are entering new markets or expanding their local presence. 

Specialist providers such as Datassential, Lumina Intelligence and Technomic add structured foodservice and menu data. This is more useful when you need to compare menus systematically across operators and markets or measure how ingredients, flavors, claims, formats, or pricing are changing over time. 

For an ingredient supplier, for example, competitor and customer monitoring may be enough to follow how major QSR customers are responding to a trend. If the question is how widely an ingredient is appearing across the restaurant market, structured menu data provides stronger evidence. 

Digital shelf, social, and search data 

Digital sources can add another view of how competitors are going to market and how consumer interest is changing. 

Digital shelf platforms such as Profitero+ and DataWeave provide structured data on ecommerce assortment, pricing, promotions, availability, product content, retailer search visibility, ratings, and reviews. This is particularly useful when teams need to compare products and competitors systematically across online retailers. 

Social media monitoring tracks mentions, posts, topics, and competitor activity across social channels. Social listening goes further by analysing those conversations for patterns such as emerging themes, sentiment, and changes in consumer discussion. Platforms such as Brandwatch support both. Google Trends provides another signal by showing changes in relative search interest, while food-specific platforms such as Tastewise analyse digital signals around food trends and behaviours. 

These signals need careful interpretation. Online conversations are not representative of the wider consumer population, and spikes in activity can be driven by campaigns, news events, or viral content rather than sustained changes in demand. For competitive and market intelligence teams, social and search data is often most useful for identifying something worth investigating, then validating it against consumer research, sales data, or other market evidence. 

Market sizing and category research 

Use market and category research when you need to understand the size, structure, and expected development of a market or opportunity. 

Providers such as Euromonitor, GlobalData, IWSR and Mintel offer market and category estimates, forecasts, geographic comparisons, channel analysis, and supporting research. Companies may use existing syndicated research or commission more specific analysis for a particular market or question. 

Market size figures are estimates, and results can vary depending on how the market is defined, which geographies and channels are included, the underlying data, and the assumptions used. This matters particularly in niche, fragmented, or emerging markets where reliable data may be limited. 

Market sizing can also support market share analysis. Where reliable company or segment-level revenues or volumes are available, comparing the largest players against the estimated total market can help establish competitive positions and estimate your own share. The quality of the result depends on having comparable definitions and sufficiently granular company data. 

For a deeper look at the methodology, see How the Best Strategy Teams Approach Market Sizing. 

A market estimate is also only part of an opportunity assessment. Teams may need to understand which competitors are investing, how customers and downstream markets are developing, whether trade flows are changing, and what changes in regulation, capacity, or technology could affect the market. 

Agricultural, commodity, and trade data 

For businesses exposed to crops, ingredients, commodities, or agricultural supply chains, market intelligence often needs to extend upstream. 

Different providers answer different questions. Expana focuses on commodity markets, pricing, supply and demand. Kynetec provides agricultural market and farmer data, while AgbioInvestor specializes in areas such as crop protection, seeds, traits, and agricultural biotechnology. Public sources such as FAOSTAT provide agricultural statistics across countries and commodities. 

Trade data provides another view of the market. UN Comtrade offers public international trade statistics, while commercial platforms such as Valona and Tridge provide trade data and analysis. Import and export flows can help teams compare markets, identify sourcing dependencies, and track changes in where products or commodities are being supplied and purchased. 

The level of detail and update frequency matter. Trade data is typically structured around product classifications such as HS codes, and many official datasets are reported monthly, often with a lag. This can provide a strong view of how trade flows are changing over time, but not necessarily a real-time view or the exact end market, application, or company behind a shipment. 

Together, agricultural, commodity, and trade data can help teams understand changes in production, prices, supply, sourcing, and market flows. Explaining those changes often requires another layer of evidence, such as weather, regulation, geopolitical developments, processing capacity, competitor investments, or changing demand further downstream. 

Competitor financial data and earnings analysis 

Financial results and earnings can show not only how competitors are performing, but what they are seeing in the market and where their priorities are changing. 

Financial results provide evidence on revenue, profitability, investment, and geographic or segment performance. Earnings reports, presentations, and calls add management commentary on demand, pricing, volumes, margins, input costs, capacity, investment priorities, and outlook. 

For food and beverage companies, the distinction between pricing and volume can be particularly important. Revenue growth driven by price increases tells a different story from growth driven by higher volumes. Comparing results and commentary across competitors can also help distinguish company-specific developments from broader changes in the market. 

Coverage depends heavily on the companies being tracked. Listed companies often report quarterly or half-year results alongside earnings commentary, while private companies may only disclose annual accounts, often with less detail and a longer reporting lag. In markets with many private competitors, company announcements, local business news, trade flows, capacity investments, and other external evidence become more important for filling the gaps between financial updates. 

For more on comparing earnings consistently across competitors and reporting periods, see What Is Earnings Analysis? A Structured Framework for Comparable Competitive Insight. 

Market and competitive intelligence 

Use market and competitive intelligence (CMI) when you need to continuously understand how competitors, customers, and markets are changing and what those developments mean for your business. 

Unlike specialist datasets designed to measure a particular variable, competitive and market intelligence brings together signals from across the external market. Competitor monitoring might track acquisitions, partnerships, product launches, capacity and facility investments, geographic expansion, leadership changes, and developments at important customers. Signals can come from company and retailer websites, local and industry news, regulatory sources, financial disclosures, and other external sources. 

For example, a potato processor might use commodity data to understand raw-material conditions and menu data to assess changes in QSR demand. Trade and financial data can provide evidence on market flows and competitor performance. Continuous monitoring of companies, customers, industry and local news, regulation, and other sources can help explain what is changing around those numbers. 

Valona combines continuous market and competitive monitoring with company financial and trade data, helping teams connect developments across competitors, customers, markets, regulations, technology, and supply chains.  Competitive and market intelligence complements rather than replaces specialist datasets where direct measurement of consumers, retail sales, menus, commodities, or other variables is required. 

Explore market and competitive intelligence for food and beverage companies →

What market intelligence does a food and beverage company need?

The right mix depends on the decisions being supported, where the company sits in the value chain, and its exposure to particular commodities, ingredients, suppliers, and regions. 

A marketing or strategy team may focus on market growth, consumer and customer trends, competitor activity, innovation, and new opportunities. Procurement and sourcing teams may care more about commodity prices, production, suppliers, trade flows, regulation, and supply risk. 

The business model matters too. B2B suppliers may need to look beyond their direct customers to understand downstream demand. An ingredient supplier, for example, may follow food manufacturers, retailers and foodservice operators. QSRs may need to look beyond traditional competitors too, tracking delivery platforms, meal kit providers and other businesses changing how consumers access food. 

Exposure to particular commodities, ingredients, suppliers, or regions can shift the intelligence priorities again. A business heavily dependent on dairy, potatoes, cocoa, or another input may need detailed production, pricing, weather, and trade data. Geographic concentration can make local regulation, supply conditions, trade flows, or geopolitical developments particularly important. 

The right intelligence stack therefore starts with the decisions you need to support, the parts of the value chain you need visibility into, and the market and supply exposures that could materially affect the business. 

How should food and beverage companies choose market intelligence tools?

Most companies don’t need to start by replacing their existing tools. They need to identify what evidence is missing for the decisions they need to support. 

Start with four questions: 

• What decision are we trying to make? Avoid starting with a vendor or technology category. Define the business question first. 
• What evidence would answer it? That might be consumer research, observed purchases, product launches, menu data, market estimates, commodity prices, trade flows, financial performance, or competitor and customer developments. If the question cannot be answered reliably from existing sources, primary research such as surveys, customer or expert interviews, or commissioned research may be needed. 
• Does the source provide the coverage and detail we need? Check geography, language, category, company, channel, product or crop coverage, granularity, methodology, update frequency, and reporting lag. 
• What is missing from the evidence we already have? A company with strong retail data may need better visibility into competitors or consumers. Another may already monitor competitors but lack reliable market sizing, trade, or commodity data. 

The goal is not to accumulate more subscriptions. It is to build an intelligence mix that provides the right evidence, at the right level of detail and frequency, for the decisions the business needs to make. 

Frequently asked questions