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The 'data infrastructure market' is driving the hot M&A tech race in AI.

Dealmaking in most industries has been slowed down by geopolitical uncertainties and tariffs. The only exception is the less glamorous world of data infrastructure.

In the race to remain competitive with OpenAI, Google, and Anthropic, legacy tech companies such as Meta, Salesforce, or ServiceNow have made the companies that process data for advanced AI models their top targets.

Brian Marshall, Global Co-Head of Software Investment Banking at Citi, said that AI without data would be like life without air. It doesn't exist.

Marshall explained that AI is driving the current zeitgeist of data. Tech deals are among the few bright spots of a gloomy M&A industry. They account for $421 billion out of $1.67 trillion announced globally in the first five month of this year. This is about 25% of all M&A.

The data show that this is up from around 20% last year to 17% by 2023. The data shows that of all the tech deals, AI software makers represented almost three-quarters of the total value.

Speed Matters

Goldman Sachs' Managing Director Matthew Lucas focuses on M&A in all aspects of computing. He said that enterprise data as it relates to AI is "the most dynamic area right now in software M&A."

Lucas explained that there is a strong perception that getting to the destination first and speed are important factors. This lends itself well to M&A.

Software companies that assist businesses in managing their data through cloud-based platforms are becoming increasingly valuable as the number of potential targets shrinks. Investment bankers believe that legacy tech companies could target enterprise data infrastructure and analytics firms like Confluent. They say that these companies may help businesses better integrate, store, and analyze information.

The executives of Boomi, Dataiku Fivetran and Qlik said that they were not surprised at the attention.

"Siloed, messy data has undermined enterprise efforts to realize the transformative power of analytics for a long time. In light of the urgent need to deploy AI that is effective, Florian Douetteau said, "Fixing it has become a matter of life and death." Confluent and Sigma Computing didn't respond to requests for comment.

LEGACY TECH BOUGHT IN

In the past few weeks, several multi-billion dollar deals have been made or closed for companies that provide data infrastructure.

Meta announced a deal on Friday for $14.8 billion to acquire a 49% stake of the data-labeling firm Scale AI. Salesforce announced last month that it would be buying data integration company Informatica, for $8 billion.

Artificial intelligence is driving an unprecedented change in technology that has forced several of the biggest social media platforms, and software companies to purchase companies that support AI-backed systems. Gartner, a technology data provider, forecasts that generative AI will total $644 billion worldwide in 2025. This is an increase of 76.4 percent from 2024. ServiceNow, an IT management company, announced in early May that it would be purchasing Data.world's data catalog platform. This will help ServiceNow better understand the context of data. Salesforce's acquisition of Informatica announced late last month will enable Salesforce to better assimilate and analyze scattered data across internal and external systems, before feeding Einstein AI into its own AI system.

The very next day, IBM completed its acquisition of DataStax. IBM announced the February deal that would allow it to process and manage unstructured data prior to feeding it into its AI platform.

BAD ADVICE

These deals show how important it is for legacy software companies to control all aspects of the data management process. M&A can be the fastest and most efficient way to do this. They are instead acquiring data specialists who can help them organize, clean and connect data across their entire business, rather than building complex systems from scratch.

As was the case last week when Databricks announced its plans to purchase serverless database manager Neon, valued at $1 billion and a leader in AI, data processing, and AI, which was recently appraised at $62 billion.

Dealmakers cautioned that companies cannot just throw any data into an AI system, and expect to get good results. Air Canada was forced to refund airfare after its AI chatbot gave a bad recommendation last year. Tech dealmakers claim that these types of mistakes can occur if unfiltered data of the wrong type is fed into an AI engine.

(Reporting by Milana Vinn in New York Editing by Dawn Kopecki and Nick Zieminski) (Reporting and editing by Dawn Kopecki, Nick Zieminski, and Milana Vinn from New York)

(source: Reuters)