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Since reaching lofty , all - metre highs in 2021 , startup passing have strike all - time lows over the last 12 months as interest rates skyrocket , access to tacky money dwindled , and opportunities to cash out dried up . The first one-half of 2023 see the depressed combined loss value for U.S. companies and speculation capital investor in about 15 years , according to PitchBook data .
However , in Q3 , we find out some light at the end of the tunnel , with PE / VC exits in August hitting thehighest they ’ve been in over 22 months . Perhaps surprisingly , deep tech companies , which I ’d define as novel technology or those using engineering - direct innovations , have contributed to that initial , slow rebound for those not closely follow the domain . Looking at the Crunchbasebig board of $ 1 billion inauguration exitsfor 2023 , a after part of those 16 unicorn issue are rich tech company . Given the sheer phone number of deep tech unicorn minted over the last few years , it ’s not a surprise for our team . In 2021 , wecompiled a listof deep tech companies that had eclipsed the $ 1 billion valuation and observe that 120 inscrutable tech unicorn had already created most half a trillion dollars of value .
But for those not nearly following the deep tech distance day to Clarence Day , it ’s possible to still believe that you ca n’t establish deep tech unicorns and that there are only a handful of deep tech exit opportunities each twelvemonth . However , the Sojourner Truth is that deep tech innovations are no longer science fiction or research experiments . Many world - change deep technical school root are being commercialized , and successful going continue to increase in number and size . In that sense , recondite technical school exit are no longer science fable either . To understand this well , our squad recently analyzed global cryptic tech departure over the last decade for what we believe is the first time in the industry ( 2013–2022 ) , and here is what we uncovered .
Deep tech unicorn exits from 2018–2022 increased 550%
From labor shortages and supply chain disruptions to globular poker chip dependance and the raceway to address the climate crisis , deep tech companionship have become decisive in solving the biggest challenges facing industries and guild over the last 10 . Those need have accelerated the number and sizing of outlet during that period . When you liken the first one-half of the decade ( 2013–2017 ) with the 2nd one-half ( 2018–2022 ) , you’re able to see those exits take off . During the first one-half of the ten , there were 19 departure per year , with an mediocre yearly exit time value of $ 14 billion . equate that with 2018–2022 , when deep technical school departure leap to 49 with an average yearly exit value of $ 103 billion .
Even if you debar 2021 as a true outlier , given the backdrop of the SPAC flush , there were 31 thick tech exits on average annually with an average yearly exit note value of $ 40 billion . Perhaps even more imposingly , the act of thick technical school unicorn ( $ 1 billion ) issue jumped 550 % to 26 on average per twelvemonth between 2018 and 2022 , compared to just four unicorn exits per class between 2013 and 2017 . This finding instance that while thick tech companies may have slightly slower initial increase cycle as they address technical readiness , their valuation likely aligns with , or is even big than , software companies when they at last exit .
SPACs played an outsized role in 2021 exits, but deep tech IPOs and M&As steadily increase
Of course , 2021 was a record year for SPAC ( particular - role skill company ) uniting , with613 filingstaking place that year . Among them were many deep tech companies attracted to a faster and often more predictable path to becoming publicly traded than traditional IPOs . And while deep tech SPAC merger accounted for over 50 of these 2021 exits , an approximately 333 % jumping from the prior yr , there was also a startle in IPOs and M&A activity . Our inquiry prove that M&A deals involving deep technical school companies increased by nearly 300 % between 2020 ( 10 peck ) and 2021 ( 28 mass ) . cryptical technical school expiration via traditional initial public offering also breed , with the identification number of IPO exits in 2021 alone ( 42 ) outpace the combined act of public offer ( 39 ) made the three old age prior ( 2018–2020 ) .
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In 2021 , there were the most notable bass tech trade over the last 10 , include galvanising vehicle makers Rivian ( whose initial public offering exit valued them at $ 67 billion ) and Lucid Motors ( who went public via SPAC with an passing economic value of $ 24 billion ) . The transportation or mobility industry has played a substantial role in deep tech expiration over the last decade , which will likely carry on in the near future . And while the IPO market has been basically flatlined in 2023 for all speculation - back technology party , Q3 is showing sign of lifespan , with Instacart and Klaviyo proving in Q3 that you could go public in a down market without halving your rating . Deep technical school unicorns should follow in their itinerary in Q1 of 2024 , and overall deep tech exit storey should return to 2020 grade if involvement charge per unit hikes finally hit a ceiling .
Meanwhile , SPAC deals have died down since 2021 as the SEC increasingly scrutinise them to ensure adequate investor protection and transparence . But they have n’t gone away whole . According to our data , 15 deep tech companies cash in one’s chips via this itinerary in 2022 . And of the $ 1 billion+ deep tech exits in 2023 to date , three of the four have been SPACs — including NET Power , Intuitive Machines , and LanzaTech .
Health tech, compute, and mobility drive deep tech exits
Over the last 10 years , health technical school companies — which we ’ve limit as computational biology or gadget - based ( biotechnology has been excluded ) — with 99 loss , have account for the most recondite tech way out . This was primarily driven by a substantial focus on computational biological science ship’s company run public in 2015–2020 . The second most popular exit category was compute , which includes domain like quantum computer science and next - multiplication semiconducting material . Across 12 months of 2021 and 2022 , three quantum calculation caller — D - Wave , Rigetti , and IonQ — go public . More will derive as we reach the dawn of the quantum industry .
As we mentioned antecedently , transport or mobility has also been a substantial category of going . If you look at exits by family when only consider $ 1 billion+ exit , transit had more unicorn exits than wellness tech , which comes in second . mysterious technical school mobility company , like those building self-governing vehicles , are changing how we move and are make us rethink how we plan smart city . There is also an intersection with AI and robotics , with robotic machines leveraging deep learning to engage autonomously and perform nomadic physical undertaking with greater preciseness , truth , and speed than man can .
fourthly on the list of entire exit was mood or clean-living free energy , which has picked up again with the most late clime tech renaissance . This should only increase with regulatory tailwind drive by government note such as the Inflation Reduction Act . This creates a significant requirement for companies utilizing purgative and chemistry to direct removing carbon copy from the atmosphere or lowering emissions . LanzaTech , which we noted above , rifle public through a SPAC this class . It is an representative of one of these types of companies having develop a gas fermentation engineering that can transmute waste carbon into material such as sustainable fuel , fabrics , and promotional material .
assault out the top five categories of exits were data and applied AI companies . yield the current AI gold rush , we should expect this category to continue to rise in exits in the coming years . M&A will in all likelihood repulse a pregnant per centum of these exits as large troupe look to ensure they are n’t left on the sidelines of the gyration by buying into AI invention . A recent example of that can be seen in Databricks ’ $ 1.3 billion skill of two - year - old AI inauguration MosaicML in June of this year .
There is little doubtfulness that the landscape of rich tech exits has acquire significantly over the retiring decade . As the sector continues to senesce , it ’s clear that these innovations are no longer skill fabrication , and neither are the time value of the deep technical school business organization being built or the opportunities for pregnant exits .