The worst case senerio is that you use Keys and Values for the Association and code it out in a for loop. But here's how I would do it. Here's some randomly generated data that looks like what you described:

randomExampleData = Table[{RandomChoice[{"IndustryA", "IndustryB"}], RandomReal[1, 2]}, {100}]

Group them by their first argument and then reduce the sets by selecting the 2nd part of them:

byIndustry = GroupBy[randomExampleData, First, #[[All, 2]] &]

We can map ListPlot onto the results and wrap it in a TabView:

TabView[Map[ListPlot, byIndustry]]

The first thing you might try is to filter out specific industries. So this example would select all the data where the first argument was "SomeIndustry"

 someIndustryData = Select[data, First[#]=="SomeIndustry" &]

Once you have that data, you could select the second part of every pair

someIndustryData[[All,2]]

Of course, this might be a pain to do for all industries, so you can always use GroupBy:

GroupBy[data,First]

<| "Industry1" -> {....}, "Industry2" ->{...}, ..... |>