Demand Intelligence is the category. Market Intelligence is one way of looking at it.
What is Demand Intelligence?
Demand Intelligence is a structured understanding of how market demand forms, changes and is expected to develop. It closes a gap. Every company has a system for everything, except demand.
Finance, customers, stock, marketing and sales each have their own system. Those systems show what happens inside the company. Few companies follow continuously how demand in their market changes.
The input is aggregated orientation moments. These are moments when people look into products, needs and brands, explore alternatives and prepare choices. Trendata reads 18.5 billion a day, in Search, Social and AI environments.
Orientation moments are not individual people, and they are not purchases. Demand is tied to measured orientation, and it does not equal realised sales.
Trendata uses aggregated demand signals only. It uses no personal data and places no tracking on your site.
The data has 48 months of history and is updated monthly. The methodology explains the approach.
Those signals get meaning inside a model of the market, with five levels: Market, Category, Type, Specification and Attribute. For the full explanation, read what Demand Intelligence is.
How does Market Intelligence fit within Demand Intelligence?
Market Intelligence is one perspective on the same underlying picture of demand. It looks at where demand sits and where it is moving. The other perspectives ask other questions about that picture.
| Perspective | Question it answers | Typical decision |
|---|---|---|
| Market Intelligence | Where does demand sit, and how is it changing? | Which market or category to focus on |
| Product Intelligence | Which types, specifications and attributes gain or lose demand? | What to develop or list |
| Consumer Intelligence | Which customer needs are becoming more relevant? | Which need to serve and how to describe it |
| Brand Intelligence | How does demand for a brand develop against its market? | Where to sharpen positioning and budget |
| Competitor Intelligence | How does demand for rivals develop against yours? | Where to respond, and where not to |
All five draw on one market picture. That is the practical gain. Teams work from the same categories and periods, so their answers can be compared.
Trendata organises this as three views. Market demand shows where demand sits and where it is heading. Customer needs show which needs gain or lose ground.
Brand position shows how demand for brands develops against the market and against competitors. The named perspectives are deeper cuts of these views.
One market picture, read from several angles. The category is demand, and each perspective asks its own question.
Is market intelligence not the wider term?
In general business use, it often is, and that deserves a straight answer. Many publishers use market intelligence for everything known about a market. That includes documents and sources that have nothing to do with demand.
Academic work uses that wider scope. Kohli and Jaworski describe market intelligence as covering current and future customer needs. It also takes in outside factors such as competition and regulation.
A 2026 analyst definition, quoted by a vendor, lists sources such as news, websites, research, filings and financial data. Those show what companies and analysts have published.
Demand signals show what people look into. They cannot show a new regulation, a rival's funding or a change in retail structure.
So keep those document sources where a decision needs them. Label each source for what it is.
We start from demand because it is the thing a consumer goods company decides on. Budget, range and capacity all follow it. So we name the category after demand, and treat Market Intelligence as an application of it.
The practical test is simple. If your question names a need, a product or a brand, Demand Intelligence helps. If it names a rule, a rival's finances or a distribution change, you need other sources too.
What does demand intelligence mean in supply chain software?
Supply chain software uses the same words for something else. There, demand intelligence means AI-supported forecasting that helps planners decide how much to stock, where and when. It is an established meaning, so name it when you use the term.
- Planning. One product page presents it as demand planning software, spanning forecasting, pricing, allocation and inventory ordering.
- Forecasts at SKU level. Another describes demand forecasts by SKU, location and time period.
- Local events. A third says demand intelligence predicts how local events affect consumer demand patterns.
These tools do not look only inward. One vendor says its product finds public signals such as weather, holidays and sporting events. So inside versus outside is not the real dividing line.
One user guide names outbound order lines as the primary source of historical demand for the forecast. Plans run in daily, weekly or monthly time buckets.
That design fits its job. A planner needs a number for a product at a site in a given period.
The term also travels further. One glossary calls it a category of e-commerce infrastructure that tracks the demand state of every product in a catalogue.
How do the two meanings compare?
The two differ in the question they answer and the level they work at. Both can use outside signals, but for different jobs.
| In supply chain software | Demand Intelligence as a category | |
|---|---|---|
| Main question | How much do we need, where and when? | How is demand in our market changing? |
| Starting data | Your order history, plus demand drivers | Aggregated orientation moments |
| Role of outside signals | Drivers such as weather, holidays and events | The main input |
| Level of detail | SKU, location, time period | Market, Category, Type, Specification, Attribute |
| Typical users | Planners, supply chain, retail operations | Strategy, marketing, product and operations teams |
| Output | A demand plan | A continuous market view and demand forecasts |
| Does not tell you | What people want that you do not yet sell | How much stock a given site needs |
Trendata offers demand forecasts up to 12 months ahead, at category, type and specification level. They describe how demand is expected to develop. They are not exact predictions of revenue, sales or stock per SKU.
Les Binet tested share of search in cars, energy and mobile handsets. It correlated with market share in all three and tended to lead it, by up to a year for cars.
The IPA also says it is not a perfect predictor, because price and other factors affect conversion.
Choi and Varian showed that search data can improve estimates of car sales, home sales, retail sales and travel. They framed that as predicting the present, not the future.
Do you need both?
You need both only if you make both kinds of decision. A brand choosing its next category needs the market view. A retailer ordering for next month needs the planning forecast.
Many companies face both, and the two can connect. A demand signal can be tested as one more driver in a planning forecast. Check that it beats your current forecast benchmark before you rely on it.
Whose demand? Your orders, your channel partners or the whole market?
Which level? A SKU at a store, or a need across a category?
Which decision? Replenishment, pricing, launch, budget or market entry?
What does a forecast cover? Which levels, over what horizon, and tested against which benchmark?
Frequently asked questions
Is demand intelligence a supply chain discipline?
In supply chain software, yes. The term there means forecasting for demand planning. Trendata uses Demand Intelligence as the overarching category for understanding market demand.
Is Demand Intelligence the same as market intelligence?
No. Demand Intelligence is the overarching category, and Market Intelligence is an application within it. General business use of market intelligence can be wider, and also includes regulation and filings.
Is Demand Intelligence the same as demand forecasting?
No. In supply chain software, forecasting is the core. In Demand Intelligence, a forecast is one output alongside a view of how demand, needs and brand positions are changing.
Why does Trendata use a term with another established meaning?
Because it describes the gap: no existing system shows market demand continuously. The overlap with supply chain software is real, so our guides state which meaning they intend.
Sources
- Amazon Connect Decisions User Guide, PDF (AWS)
- Demand intelligence, Amazon Connect Decisions (AWS)
- Workcloud Demand Intelligence (Zebra)
- What is Demand Intelligence? (PredictHQ)
- Demand Intelligence glossary entry (Flockr)
- Market Orientation: The Construct, Research Propositions, and Managerial Implications (Kohli and Jaworski, Journal of Marketing, 1990)
- Contify on the inaugural Gartner Magic Quadrant for Competitive and Market Intelligence Platforms (vendor post quoting Gartner, 2026)
- Binet presents fast, cheap, predictive Share of Search metric (IPA, 2020)
- Predicting the Present with Google Trends (Choi and Varian, Google Research)