Despite the receipt in IPO, startup outputs and financing are still more difficult than in previous years. Add to this an increasingly competitive landscape for AI startups and it is not surprising that this yr we saw the increase in startups by buying other startups.
The reasons for the startups of their brothers buying their brothers are varied. In many cases, consolidation is powered by market forces, including more difficult funds to lift funds and more inexpensive valuations for buyers. For other startups, it is simply to buy a company other than attempting to build some technologies yourself.
By numbers
According to Crunchbase in the first half of 2025 data. Compared to 362 in the same period last yr, which is an increase of 18%.
For comparison, in the full years 2021 and 2022, there have been over 1000 offers in which the startups bought other startups for the Crunchbase data.
Buyer market
Michael MufsonManaging partner of the Investment Banking company Moufson Howe HunterHe believes that we see more startups at an early stage joining forces, because the environment of obtaining funds “became so difficult”.
“Venture Capital is still tight and without enough liquidity events to go to LPS, VC are much more selective,” said Crunchbase News. “For the founders, surviving the strongest – and this means creativity to build a very strict investment thesis.”
In many cases, the combination of two firms at an early stage can create a stronger, more convincing narrative for investors, in line with Mufson.
“This can broaden the customer base, consolidate IP or, more and more often, bring critical opportunities such as AI,” he added. “In the case of startups deprived of specialist knowledge of artificial intelligence, acquiring or connecting with a team that has this technical depth, it can help accelerate product development and improve the financing prospects for a highly competitive market.”
Startup advisor ITay SagieOwner of Israel Capital Advisors sagieHe agrees that the most vital controller of merger and startup acquisitions is the exacerbation of the financing of the project-a modest impact on financing the project around the world in the second quarter.
“On a small scale, startups that are not profitable, it is difficult to collect capital because VC become more conservative, so they perceive mergers as the most logical option,” said Crunchbase News in the E -Mail interview.
Another driver, as the sagie believes, is that the valuations appear to “stabilize at reasonable ARR multiplier ranges.”
This allows for larger startups, which raised large rounds in 2021 with high-speed valuations to make use of money reserves to acquire smaller startups with reasonable valuations.
“Instead of facing the round, they implement this capital towards purchasing startups, especially those that offer one of the three” TS: supplementary technology, adhesion or talent “, added the sagie.
On the other side of the spectrum, larger startups, which are more financially balanced with impressive unit economy and growth performance indicators, are even more attractive as buyers startups, in line with the sagie, “because their capital is a more important resource compared to the overstated, burning unicorn burning.”
Shopping includes larger offers
Some offers this yr were also transactions with high dollars. And no wonder that some of the major offers included AI.
- In particular, at the Arena, one of the most Polish transactions was OpenAI ‘S can buy Andstarting devices co -found Apple Product designer Ive ionsfor reported $ 6.5 billion.
- Opeli also tried to buy a coding tool with artificial intelligence Windsurfing For $ 3 billion, but this contract has collapsed. Instead, Learning He got here up to gather what was left after Windsurf Google It was announced in mid -July that he pays $ 2.4 billion for a license for Windsurf technology and compensation.
Not all large offers of mergers and acquisitions concerned AI. Other noteworthy peers’ purchases this yr include:
- Primary brokerage Hidden road He was taken over by Crypto Payments Company Ripple In transactions value $ 1.25 billion announced at the starting of April;
- In mid -May Databicks announced plans to buy the database management platform Neon in the contract reportedly valued at About $ 1 billion;
- Recently, a unicorn cyber security Aconic He announced that he was buying FirstStartup of the safety of medical devices in a contract with a value of just over $ 100 million; AND
- July 1, a Canadian company dealing with legal software Clio He said he was planning to take over Spain VLEX With Oakley Capital for $ 1 billion.
In addition, many foremost buyers collected large rounds before they made purchases – from OpenAI at the starting of April pronounces a stunning investment value $ 40 billion conducted by Softbank. This agreement meant the largest investment of the project in history. In December last yr, Databicks collected $ 10 billion with a valuation of $ 62 billion, which suggests one of the largest Venture Capital increases in 2024 and one of the largest records.
Purchases of assets and acquisitions
Lindsey S. MignanoSSM LAW co -founder notes an interesting trend that sees: More Asset Acquisitions Plus Acquihires. At this point, larger technology firms buy assets (think IP portfolio) of the company from the early stage and take one to three people from the founding team to integrate relationships with technological and transition clients.
SSM law normally represents technological startups purchased by larger, more set startups, which have received more financing of increased risk capital. An example could be AI, which received funds on coverage or series A purchased by the C or D series.
“The motivation of the seller for sale is often associated with economically or on the market market. This company could not collect the next round of increased risk capital, or simply saw on the wall of the magazine that a large technology company intends to cross them in an interview for” transition “due to strategic acquisitions or consolidation,” said Crunchbase News in the interview.
Mignano notes that the motivation of the buyer to buy is also economical. Usually buying this technology is normally cheaper and cheaper “buy a team with a six -month golden earnings than recruitment”.
But it is also based in a hurry to the market, especially in the extremely competitive AI field.
“In the case of AI companies, the buyer has immediate access to reserved architecture models, platforms of inference or integration of edgetic devices without expenses related to AI training,” she said. “The buyer can immediately get specialized data sets or refined models from the seller who effectively blocks competition in the industry with particularly awkward sales cycles, such as law, government or hospitals.”
In general, Mignano believes that “buyers are now in a really good place.”