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Data industry is about to transform.
The market is monotheism. And if the flow of the deal in the past two months is any indicator – with Databricks buy neon for a billion dollars and Salesforce Conven Up Cloud Management FIRM Informatica for $ 8 billion – The momentum is based on more.
Corporates acquired in size, age and concentration may range within the data stack, but they all have one common thing. These companies are bought in the hope that the acquired technology will be the lost piece to obtain companies to adopt artificial intelligence.
At the surface level, this strategy is logical.
The success of artificial intelligence companies and artificial intelligence applications is determined by accessing the basic quality data. Without it, there is no simplicity of value – a belief shared by VCS Enterprise. In a survey conducted at Techcrunch in December 2024, Enterprise VCS said that data quality was a major factor in making it. Startups AI stands out And success. Although some of these companies participating in these deals are not startups, the feelings are still in place.
The former co -founder and CEO of Informatica, the current president and CEO of Integration Snaplogic, said this in a recent interview with Techcrunch.
“There is a complete reset on how to manage data and flow around the institution,” said Dhillon. “If people want to seize the necessity of artificial intelligence, they must restore their data platforms in a very big way. This is where I think you see all these data access, because this is the basis for obtaining an audio strategy.”
But is this strategy of capturing companies that were built before the post -semester world is a way to increase AI’s accreditation for institutions in today’s innovation market today? This is not clear. Delon also has doubts.
“No one was born in artificial intelligence; this is only three years old,” referring to the current AI market after ChatGPT. “For Akbar, to provide Amnesty International innovations to re -imagine the institution, and the Foundation in particular, you will need a lot of re -preparation to achieve this.”
Feiled data scene
The data industry has grown to become the sprawling and freezing web network over the past decade – making it mature to monotheism. All he needed was a catalyst. From 2020 to 2024 alone, more than $ 300 billion has been invested in data startups through more than 24,000 deals, according to Pitchbook data.
The data industry was not fortified against the trends seen in other industries such as SAAS, as the project led to bloating in the past decade Many startups are funded By investment capital owners who targeted only one specific area or in some cases are based on one feature.
The current industry level of collecting a set of different data management solutions does not work, each of which has its specific focus, when you want Amnesty International to crawl about your data to find answers or build applications.
It makes sense for large companies to look to capture startups that can connect the existing gaps and fill them in their data stack. An ideal example of this trend is Fivetran’s last acquisition of the census In May – yes, This was done in the name of artificial intelligence.
Fivetran helps companies transfer their data from a variety of sources to cloud databases. During the first 13 years of her work, customers did not allow the transfer of these data again from the mentioned databases, which is exactly what the census offers. This means before this acquisition, Fivetran customers need to work with a second company to create a comprehensive solution.
To be clear, this is not intended to throw the shadow on Fivetran. At the time of the deal, George Fraser, co -founder and CEO of Fivetran, told Techcrunch that while transferring data inside and outside these warehouses it seems to be two aspects of the same currency, it is not so simple; The company even tried and gave up an internal solution to this problem.
Fraser said at that time: “Technically, if you look at the code below the services (these), it is completely different.” “You have to solve a different set of problems in order to do this.”
This situation helps to clarify how the data market has shifted in the past decade. For Sanjeev Mohan, former Gartner analyst that now runs Sanjmo, his data consulting company, these types of scenarios are a large engine of the current wave of monotheism.
Mohan said: “This monotheism is driven by customers who are tired of many incompatible products.” “We live in a very interesting world where there are a lot of different data storage solutions, you can do the source of the source, and they can go to Kafka, but the only field we failed is the definition data.
Good for startups
Mohan said that the broader market plays a role here as well. Mohan said that the data startups are struggling to raise the capital, and the exit is better than having to finish or download debts. For buyers, they give them the addition of better price lever features and an edge against their peers.
“If Salesforce or Google does not get these companies, it is likely to be their competitors,” Derek Hernandez, chief analyst of emerging technology in Pitchbook, told Techcrunch. “The best solution is currently getting. Even if you have a award -winning solution, I don’t know that expectations to stay in the private sector eventually win the ACQUirer.”
This trend brings great benefits to startups that are obtained. The project market starts to hunger for the sake of exits and does not leave them the current quiet period for subscription subscriptions, subscriptions, many opportunities. Not only does this exit provides, but in many cases these founding teams give space to continue construction.
Mohan agreed to add that many data starters feel the current market pain in relation to abroad and the slow recovery to finance the project.
“At this time, the acquisition was a more convenient exit strategy for them,” Hernandez said. “So I think a kind of two sides are very motivated to reach the finish line on this. I think the informatics is a good example of this, even with a little haircut from where he was talking to them last year, still, as you know, is the best solution, according to the Board of Directors.”
What happens after that
But there is still doubt if this acquisition strategy will achieve buyers’ goals.
Dhillon also pointed out, the database companies that are necessarily obtained to work easily with the rapid artificial intelligence market have not been built. In addition, if the company with the best data wins the world of artificial intelligence, is it logical that the data and artificial intelligence companies are separate entities?
“I think a lot of value in integrating the main artificial intelligence players with data management companies,” Hernandez said. “I don’t know that the independent data management company is particularly improved to remain so, and play somewhat, plays a third party between Enterprises and AI Solutions.”