00:00Bonjour à tous, je m'appelle Guillaume Bonneton de GP Boulhound.
00:06Pour ceux qui ne connaissent pas, nous sommes une banque spécialisée en technologie,
00:11avec 12 officiers de l'ensemble du monde.
00:15Je m'appelle Paris.
00:16C'est la troisième fois que nous avons présenté le TITANS OF TECH report
00:21ici à VivaTech.
00:22Et c'est le 11th report que nous faisons.
00:29Nous avons été couvres, nous avons été couvres,
00:33comme les compagnies de plus de 1 billion euros,
00:37et ont commencé à l'année 2000 en Europe et en Israël.
00:41Nous avons été couvres depuis 2014.
00:44Donc, je pense que le rapport va vous donner une perspective
00:48sur ce qui s'est passé à l'écosystème durant ces 11 ans.
00:52Une petite remarque sur ce qu'on appelle les deux ans.
00:56Vous voyez que je vous ai mentionné,
00:57sur la fin du report, je vous ai mentionné les contenders.
01:00Les contenders sont une compagnies qui a une forte potentiale
01:05pour devenir un unicorn dans les deux dernières années.
01:08Unicorn, 1 à 10 billion euros.
01:10Et un peu plus, FYI, un décacore,
01:13qui ne fait pas mal, mais c'est plus de 10 billion euros.
01:17Et puis, c'est plus de 50 billion dollars en valuation.
01:23Donc, avec cela en minde,
01:25numéro 1, l'évolution entre 2023 et 2024.
01:30Ça commence à comparer à l'année dernière.
01:31Donc, ce qui s'est obvious, c'est que dans les bubbles,
01:35c'est le nombre d'européens,
01:38de plus de 1 billion dollars en technologie.
01:41Et vous pouvez voir que l'éropéens a augmenté.
01:45Il y a des plus de 12 plus unicorns entre 2023 et 2024.
01:52Et dans les années 2021 et 2022,
01:57vous pouvez voir qu'en 2022,
01:59il y a des plus de 114,
02:01c'est plus d'oublié d'oublié.
02:03Et entre 2022 et 2023, il y a toujours 28.
02:08Et 58 entre 20 et 21.
02:10Donc, en général,
02:12ça a été découvert à un triccoulet.
02:14Et je dirais que les 323,
02:18peu de elles ont augmenté dans les dernières années.
02:20Ils attendent pour les conditions de better.
02:24On le second marché,
02:25où les shares sont tradés,
02:27et beaucoup d'entre eux,
02:28pour être candid,
02:30ne sont pas worth 1 billion euros ou dollars aujourd'hui.
02:34Mais parce qu'ils n'ont pas testé le marché,
02:36ils restent leur statut.
02:39Et dans la valeur,
02:41il a augmenté slightly.
02:43Et je dirais que,
02:45si vous regardez la vraie valeur aujourd'hui,
02:47de certains de ces 323,
02:50il a augmenté.
02:56C'est très intéressant.
02:59C'est intéressant.
03:00C'est intéressant.
03:00C'est intéressant.
03:01C'est intéressant.
03:01C'est que ça a stabilisé,
03:02pour 3 quarters,
03:04à environ 15 billion dollars
03:07de verified funding
03:10per quarter
03:11en technologie,
03:12en Europe.
03:13C'est beaucoup moins
03:15que l'a augmenté,
03:17que c'est 30 billion dollars
03:20de funding
03:22durant la haute
03:24de 2021
03:26et la première half
03:27de 2022
03:27craziness.
03:29Mais c'est encore plus
03:31que pré-Covid,
03:33pré-pandemic,
03:34où l'average
03:35était plus
03:378,5,
03:389 billion dollars
03:39per quarter.
03:40Donc,
03:40c'est stabilisé
03:41à un niveau
03:42qui est
03:43normal
03:44à un niveau
03:46plus
03:46que c'était
03:47pré-pandemic.
03:51et
03:52puis,
03:52juste pour vous
03:54la perspective,
03:54quand nous avons
03:55le premier report,
03:56vous avez 30
03:58billion
03:58d'europe
03:59de 1 billion dollars
04:01de valuations
04:02créées après 2000,
04:03bien sûr.
04:04C'est pas
04:05d'ailleurs
04:05d'autres
04:05qui étaient
04:08plus de 5 billion.
04:10aujourd'hui,
04:13vous avez
04:1310 fois
04:14plus,
04:15en termes
04:15de 323.
04:18L'aggregate
04:19valuations
04:19x 14.
04:21Et
04:22enfin,
04:23vous avez
04:24plus de 10
04:26billion dollars
04:27et
04:3070
04:31plus de
04:335
04:33billion
04:34d'europe.
04:34Donc,
04:35en
04:35la décision
04:38que nous avons
04:38écrit
04:39la report,
04:41il y a
04:41une
04:42explosion
04:43dans les
04:44des
04:57100
04:58000
04:591
05:021
05:041
05:041
05:041
05:051
05:083
05:084
05:106
05:106
05:106
05:10C'est le meilleur ex-eco avec France.
05:14En nombre de billion dollar companies,
05:18Israel avec 67,
05:21et puis,
05:23puis,
05:26En France,
05:28je vais juste zoom un peu sur France.
05:31France est environ 15% de l'économie plus l'Israël.
05:37Et France est un pays d'engineering.
05:39Donc, France devrait être entre 15% et 20% de l'économie.
05:44Et en nombre de companies,
05:4636% à 323%,
05:48c'est environ 12%.
05:50Donc, on est là.
05:51En l'économie,
05:5388 billion dollars,
05:54c'est 7% de l'économie.
05:57Donc, on est un peu où nous devons être.
05:59En New Unicorns,
06:01on a Mistral.ai,
06:03on a...
06:07Je ne sais pas,
06:08on a Penilane et Pigment.
06:13Donc, on a 3%
06:14qui est notre meilleur,
06:15je veux dire,
06:16avec l'Économie.
06:17Mais c'est intéressant.
06:18La autre chose,
06:19c'est que vous voyez l'Économie,
06:21et vous voyez plus que l'Économie,
06:23l'Économie,
06:23l'Économie,
06:26vous voyez un peu sur les chiffres.
06:28de l'Économie.
06:31Le nombre sur l'Économie,
06:33c'est, pour moi,
06:33l'Économie,
06:34c'est le plus intéressant.
06:34C'est que l'Économie,
06:37de l'Économie,
06:38le 17% des 25% en 1923.
06:40whereas 93% did in 2021 and 2022 so the positive view is that they've raised
06:47they've more or less all raised during the good years the negative is that many
06:52of them are waiting for better market conditions because they they don't want
06:56to to do a down round which is always very destructive very demotivating and
07:01create lots of problems among other for management also former shareholders etc
07:08and the other thing is you can see now the mega rounds which are the over 50
07:14million they are really they are back and and out of the 15 billion a per
07:20quarter that is being raised by technology in Europe these days two
07:25thirds of that is for big rounds and this is what we see we see that those
07:31company will raise is because they they can though or because they need and then
07:36they don't disclose the number probably but okay now three sectors I wanted to
07:43highlight because they show up in the into the rankings three very and then I
07:48will add two which are not in there number one all the constituents of AI you
07:52know the the mistral etc the LLMs that is a rich vein of fundraising then the
07:59vertical AI with case basically the you successful use cases by making AI
08:05verticalized and usable like we we raised lots of money for a company in France
08:11called doctrine she's legal take last year and they are legal take AI you have
08:16some marketing AI etc that's that's a rich vein they're very successful in sell
08:22sides and fundraising and then cloud software tools for SMBs this is really
08:27successful this is driven by efficiency the SMBs of course many of them are
08:33having more difficult times in the current market conditions and these cloud
08:38software is basically they are considered as a cost with cost reducing
08:43efficiency improving tools for the SMBs and the SMBs were were behind you can
08:49sit in the report for a long time in adopting cloud and the current market
08:54conditions have triggered an acceleration actually it's in the next page so on AI
09:01needless to say you can see the the race that's worldwide of course but that's
09:07that's maintaining at a very high level left the middle what I find interesting
09:12is in terms of use cases you see content center personalization customer
09:18relation basically the top three are about the marketing marketing automation and that is
09:30confirmed the AI companies we know they say that half of the use cases have to do
09:36with marketing and customer acquisition this is still reflected here and then on
09:41the right is simply an explicitation of what I said which is SMBs then less than 250
09:48employees use less cloud-based solutions but but this is increasing this is they are
09:57catching up fast as per the chart on the right now the the contenders which I
10:06explained so we have a we do a survey so basically just to give it to to be very
10:12clear we we have we identify around 600 700 tech companies in Europe which are not
10:18unicorns so not of the 300 we then pre-rank them by what we call velocity so how
10:25fast are they recruiting how much have they raised and the publicity they get we get
10:29down to about 200 and then we interview we we ask 150 tech investors in Europe to
10:37fourth rank their top 10 or their top 20 a country member but anyway we we do that
10:44and that's some some of these surveyors are in the room and from that we identify
10:50the top 50 future unicorns as voted by by the investing community and that's
10:59always super interesting so I'm very proud to disclose the results here and
11:05you can have more detail on these companies in the report but I will just
11:12highlight first of all little little French Coco Rico moment of the top three
11:19two are French Agicap and Brevo and of the top 50 20 are French with 20% but
11:26actually the the most represented geographies UK and Ireland 24% then it's
11:33France then it's Germany but but interesting so we've we've been doing
11:39that for not we didn't do it at the beginning maybe we've been doing it for
11:43eight years this is the most Spanish and Italy we've had seven which is 14% so
11:51again you you can see the ramp ramp up ramping up of southern Europe so that's in
11:58terms of of origin geography in terms of of sectors like every year enterprise SAS and
12:07and that is 30% number two AI and that is sorry don't know this one 20% and number
12:19three fintech 16% and in in AI we have content AI augmented content like on bus
12:28which does content for the for health for the physicians AI augmented etc but all sorts of
12:34so and and of course these three sectors are mostly B2B so it's another big
12:40difference with the US the equivalent in the US would have more B2C we believe
12:44whereas in Europe it's a huge majority of of B2B other difference in the US more
12:53more than half of these companies are profitable whereas in the US I would argue
13:00like less than 20% and I think that concludes my presentation thank you very
13:11much
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