Sep 29, 2026 · 24 min · 11 segments
Market intelligence is evolving faster than ever. Advances in AI, machine learning and real-time data are changing not only how insights are collected, but how businesses make decisions and anticipate…
Greg MunvesGuest
Pete HaighGuestAndrew DavidsonHost
I'm just outside London, but I've just got back from our Malaysian office, been on a tour of our Southeast Asia businesses.
I mean, I guess before we get to the Compare Media story specifically, I mean, how would you describe what's happened to market intelligence in your time initially as CEO and then as chairman of Mintel?


Now, if we were still doing that, I'm not sure we'd be quite doing what we're doing today.

I started off with digitization of data, which allowed, with the birth of the CD-ROM, reach where market intelligence could get to more people on a global basis and also the depth of analysis has improved dramatically.

All of that data became big data and allowed much broader and deeper analysis and in today's world with machine learning we're able to spot those deep patterns in the data that normal humans can't and that's driven us right up until the present day into The decision intelligence period, which we're in now, which I believe is such a big unlock.


By way of example, what Mintel is seeing today is we're experts in managing to understand consumers.

But we're seeing those behavior shifts much, much more quickly and able to predict what's happening by helping our clients and focusing around a problem domain, which is innovation and answering those questions for clients in a predictive manner.

I'm just outside London, but I've just got back from our Malaysian office, been on a tour of our Southeast Asia businesses.
I mean, I guess before we get to the Compare Media story specifically, I mean, how would you describe what's happened to market intelligence in your time initially as CEO and then as chairman of Mintel?


Now, if we were still doing that, I'm not sure we'd be quite doing what we're doing today.

I started off with digitization of data, which allowed, with the birth of the CD-ROM, reach where market intelligence could get to more people on a global basis and also the depth of analysis has improved dramatically.

All of that data became big data and allowed much broader and deeper analysis and in today's world with machine learning we're able to spot those deep patterns in the data that normal humans can't and that's driven us right up until the present day into The decision intelligence period, which we're in now, which I believe is such a big unlock.


By way of example, what Mintel is seeing today is we're experts in managing to understand consumers.

But we're seeing those behavior shifts much, much more quickly and able to predict what's happening by helping our clients and focusing around a problem domain, which is innovation and answering those questions for clients in a predictive manner.
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