Global EV sales rise in May as China hits 2025 peak: Rho Motion
GLOBAL sales of electric and plug-in hybrid vehicles rose 24 per cent in May compared with the same period a year ago, as strength in China offset slower growth in North America, according to market research firm Rho Motion.
Electric vehicle sales in China surpassed over one million units in a single month for the first time this year, driven by strong domestic demand and targeted export efforts from Chinese manufacturers, notably BYD, tapping into emerging markets.
BYD's exports to Mexico and South-east Asia, along with Uzbekistan, have significantly boosted sales in these regions, Rho Motion data manager Charles Lester said.
Fleet incentives in Germany and robust growth in Southern Europe helped lift the European market, while the expiry of Canadian subsidies dragged on North American demand, he added.
US tariff
Global automakers face a 25 per cent import tariff in the United States, the world's second-largest car market, causing many of them to withdraw their outlooks for 2025.
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In Europe, new incentives for fleet buyers in Germany are expected to support electric car sales through the second half of the year.
Tesla's Model Y production in Berlin shields it from tariffs, yet it faces market share pressures as production ramps up globally amidst shifting trade tensions.
President Donald Trump's stance towards emissions standards and uncertainties around tariffs has also hampered EV growth in North America.
In the US, tax credits for EVs are still available but will begin phasing out from 2026, contributing to hesitation among buyers.
By the numbers
Global sales of battery-electric vehicles and plug-in hybrids rose to 1.6 million units in May, Rho Motion data showed.
Sales in China grew more than 24 per cent from the same month last year to 1.02 million vehicles.
Europe posted a 36.2 per cent increase to 0.33 million units, while North American sales edged up just 7.5 per cent to 0.16 million.
Sales in the rest of the world rose 38 per cent to 0.15 million vehicles. REUTERS
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Unglamorous world of 'data infrastructure' driving hot tech M&A market in AI race
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CNA
2 hours ago
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Weighed down by tariffs and geopolitical uncertainty, dealmaking has slowed to a crawl across most industries except one: the unglamorous world of data infrastructure. The companies that process the data used to build advanced AI models have become highly sought after targets for legacy tech companies like Meta, Salesforce, and ServiceNow in the scramble to stay competitive against the likes of OpenAI, Google and Anthropic. 'AI without data is like life without oxygen, it doesn't exist,' said Brian Marshall, global co-head of software investment banking at Citi. 'Because of that, data is having a zeitgeist moment right now driven by AI,' Marshall said. Tech deals are one of the few bright spots in an otherwise gloomy M&A market, accounting for $421 billion of the $1.67 trillion in global deals announced in the first five months of the year, or about 25 per cent of total M&A, according to preliminary data compiled for Reuters by Dealogic. That's up from about 20 per cent last year and 17 per cent in 2023, the data shows. Of the tech deals, those involving AI software makers accounted for almost three quarters of the overall value, the data shows. SPEED MATTERS Goldman Sachs Managing Director Matthew Lucas, who focuses on M&A relating to all aspects of computing, said enterprise data, as it applies to use in AI, is the 'most dynamic area in software M&A right now.' 'There's a very strong perception that speed matters a lot, getting there first matters a lot, and that tends to lend itself to doing M&A,' Lucas said. The software firms that help companies manage their data on cloud-based systems are increasingly valuable commodities as the number of such potential targets is rapidly shrinking. Enterprise data infrastructure and analytics companies like Confluent, Collibra, Sigma Computing, Matillion, Dataiku, Fivetran, Boomi, and Qlik, could become targets for legacy tech providers in the near term, investment bankers say. The companies, they say, may help businesses integrate, analyze, and store information better. Executives for Boomi, Dataiku, Fivetran, and Qlik all said they weren't surprised by the attention. "Messy, siloed data has long undermined the attempts of enterprises to deliver on the transformative potential of analytics. Now, with the urgency to deploy effective AI, fixing it isn't just essential — it's existential," Florian Douetteau, co-founder and CEO of Dataiku, said in a statement. Requests for comment from Confluent, Collibra, Sigma Computing, and Matillion weren't immediately returned. LEGACY TECH BUYS IN Several multibillion-dollar deals for data infrastructure companies have been struck or closed just in the last few weeks. Meta announced Friday a $14.8 billion deal for a 49 per cent stake in data-labeling company Scale AI. Salesforce announced plans last month to buy data integration company Informatica for $8 billion. Artificial intelligence is driving a once-in-a-generation makeover in tech that's forcing several of the largest social media platforms and software makers to buy companies that help AI-backed systems run smoothly. Worldwide, generative AI spending is expected to total $644 billion in 2025, an increase of 76.4 per cent from 2024, according to a forecast by technology data provider Gartner. In early May, IT management provider ServiceNow said it was buying data catalogue platform which will allow ServiceNow to better understand the business context behind data, executives said when it was announced. The Salesforce acquisition of Informatica, announced late last month, will allow Salesforce to better analyze and assimilate scattered data from across its internal and external systems before feeding it into its in-house AI system, Einstein AI, executives said at the time. IBM closed on its acquisition of data management provider DataStax the very next day. IBM said the deal, announced in February, will allow it to manage and process unstructured data before feeding it to its AI platform. BAD AI ADVICE Those deals highlight the strategic importance for legacy software players to own all aspects of data management, and M&A is often the fastest way to achieve it. Instead of building complex data systems from scratch, they are acquiring specialists that can help organize, clean, and connect data from across their business. Would-be targets have sometimes become the hunters as was the case when Databricks, a leader in data processing and AI that was recently valued at $62 billion, announced plans last week to buy serverless database manager Neon for $1 billion. But dealmakers warned that companies can't just buy any kind of data and throw it into an AI system and expect good results. Air Canada <> was found liable in small claims court and forced to refund airfare last year after one of its AI chatbots gave a customer bad advice. Those types of errors can happen if the wrong kind of unfiltered data is imported into an AI engine, tech dealmakers say. 'A lot of companies have a huge amount of data, but I think they're learning that you can't just funnel every piece of data you have into an AI engine with no organization, and hope that it spits out the right answer,' said Brian Mangino, partner at Latham & Watkins.