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The data industry is at the doorstep of a strict transformation.
The market is consolidating. And if the contract flows in the last two months, any index – Databrix is buying Neon for $ 1 billion And Salesforce Cloud Management Farm Informatika is snaping for $ 8 billion – Building for more of the speed.
The acquired companies can be in the size, age and focus region of data stacks, but they all have a similarity between them. These companies are hoping that the technology acquired will be the missing part of the initiatives to receive the AI.
At the surface level, this technique makes sense.
AI companies’ success and AI applications are determined by access to quality underlying data. Except for it is not just worth – a belief shared by the Enterprise VCS. Enterprise VCS said in a TechCrunch survey conducted in December 2021 that data was the main reason for making data quality. AI Startups stand outside And successful. And even though there are not some startups in these agencies involved in this agreement, the feeling still stands.
Former co-founder and chief executive officer of Informatika and the current chairman and chief executive officer of the data integration agency Snaplog’s, Gaurav, has echoed in a recent interview with Gaurav Ilon TechCrunch.
“There is a complete reset of how the data is managed and the enterprise flows around the enterprise.” “If people want to occupy the AI requirement, their data platforms have to do again in a very big way and
But what is the way to increase Enterprise AI adoption in today’s rapid innovative market? It is unclear. Dhilon is also suspected.
“No one was born in AI; it was only three years old,” Hill Lone mentioned the current AI market in the post-Chatzept. “For a larger organization, especially to provide AI innovation to re -imagine Agent Enterprise Enterprise, it will require a lot of rebuilding it to do so.”
Fragmented data landscape
The data industry has become a broad and fragmented web over the past decade – which makes it suitable for consolidation. It needed a catalyst. According to the pitchbook data, more than $ 300 billion data from 2024 to 2024 was invested in data startups.
The data industry did not resist the trends seen in other industries like Sass as a result of the initiative of the past decade Numerous startups are being funded By the capitalists of the enterprise that was only aimed at a particular region or in some cases a single feature was built.
The current industry value of a bunch of different data management solutions is with each of its own specific focus, when you want to crawl around your data to find answers or create applications.
It is understood that larger companies are trying to snap up startups that can plug the existing gaps in their data stack and fill in. This is a perfect example of tendency Ekti In May – which is yes, Was made in the name of AIThe
FiveTran companies help transfer their data to their data cloud database from various sources. For the first 13 years of business, it did not allow customers to remove this data out of the database, which gives the census exactly. This means that before this acquisition, FiveTran customers need to work with the second company to create an end to end solution.
To be clearly speaking, it is not to be thrown into the shadow on the FiveTran. During the contract, Fiventran co-founder and CEO George Fraser told TechCrunch that the warehouse was as much as the two sides of the same coin when removing data inside and outside, it is not so easy; The company has even tried internal solutions to this problem.
“Technically speaking, if you see the code below [these] The services, they are actually quite different, “Fraser said at the time.” To do this you need to solve a very different problem. “
This situation helps to illustrate how the data market has been transformed over the past decade. Sanjeev Mohan, a former Gartner analyst who is now managing his own data trend advisory firm Sanjmo, is a great driver of the current wave of unification of such a situation.
Mohan said, “This consolidation is being managed by a lot of products that are unmatched by customers.” “We live in a very interesting world where there are various data storage solutions, you can open the open, they can go to Kafka, but the field we failed is metadata. A few dozen metadita of these products are capturing a few metadata but it’s an overlap to work.”
Good for startups
The broad market also plays a role here, Mohan said. Mohan said the data startups are fighting to raise capital, and the departure is better than the debt or loading the debt. For acquisitions, adding features give them a better price leverage and an edge against their peers.
“If Salesforce or Google does not achieve these companies, their competitors are likely to be,” Pitchbook’s senior emerging technology analyst Derek Hernandez told TechCrunch. “The best solutions are currently being achieved. If you have a reward -winning solution I don’t know that the outlook for private stays can win even bigger [acquirer]The “
This trend brings big advantage to startups. The initiative market is starving to exit and the current quiet period for IPOs does not give up many opportunities. Not only does it provide that departure, but in many cases the founding parties give houses to continue the building.
Mohan agreed and added that many data startups are feeling the slow recovery of the current market pains exit and initiative funds.
“At this time, acquisition was a much more favorable exit technique for them,” said Hernandez. “So I think, both sides of the sides have been very encouraged to reach the finish line and
After that
However, this acquisition strategy will achieve the buyers’ goals, but doubts still remain.
As Dhilon mentions, database companies are not necessarily ready to work easily with the rapidly changed AI market. Also, if the company with the best data wins the AI World, will it make sense of data and AI companies to be a separate entity?
Hernandez says, “I think that the price of data management agencies is in combination with Major AI players.” “I don’t know that a Standelone Data Management Agency is specially encouraged to stay and somehow prefer, play third party between enterprise and AI solutions.”