how to build a predictive model without training data neither historical data I m trying to score "how much a product is expected in the market". I created some features:
How much this product is used each year.
Where was it used .
how many product for each country.
the main component of this product
compared the product with other similar products.
etc.
I built a big matrix/table with all these information.
I want to create a prediction model, where the input is a main component of a product and the output is ( expected with a pourcentage).

I dont have a training data ( just features without related results which indicates if the product is expected or no)
I dont have historical data to confirm the results of my work.

Some advices ?

Thank you all
If you do not have data then I think the problem is more of research than  Machine Learning. 
Ask your research team to gather primary data about the product by conducting surveys, polls,etc.

Depending upon the data you get from research, you can use some statistical methods like hypothesis testing to solve the problem.