Nvidia’s market value gets $2 trillion boost in 2024 on AI rally
![Nvidia’s market value gets trillion boost in 2024 on AI rally Nvidia’s market value gets trillion boost in 2024 on AI rally](https://i2.wp.com/www.livemint.com/lm-img/img/2024/12/06/1600x900/market_2_1733466021722_1733466033367.jpg?w=1200&resize=1200,0&ssl=1)
Source: Live Mint
– Nvidia emerged as the biggest global gainer in market capitalization for 2024, driven by surging interest in artificial intelligence and the robust demand for its AI-centric chips across various industries.
The chipmaker’s market value increased by over $2 trillion last year, reaching $3.28 trillion at the close of 2024, making it the second-most valuable listed company in the world. Its market value was $1.2 trillion at the end of 2023.
Meanwhile, Apple continued to lead global companies in market value, nearing a historic $4 trillion valuation. This surge was fuelled by investor enthusiasm for the company’s anticipated AI enhancements, aimed at revitalizing sluggish iPhone sales.
At the end of 2024, Microsoft ranked third with a market value of $3.1 trillion, followed by Alphabet Inc and Amazon, each valued at approximately $2.3 trillion.
These tech companies significantly boosted their respective global indexes in 2024, with the S&P 500 index surging 23.3% and the Nasdaq climbing 28.6%.
Despite the shares’ higher valuations, looming U.S.-China tariff tensions, and potentially slower U.S. interest rate cuts, analysts remain optimistic about the sustained strong performance by tech firms in 2025.
Daniel Ives of Wedbush predicts a 25% gain in tech stocks in 2025, attributing potential growth to a less regulatory environment under Donald Trump, forthcoming strong AI initiatives, and a stable foundation for Big Tech and Tesla in 2025 and beyond.
“We believe tech stocks will be robust in 2025 on the shoulders of the AI Revolution and $2 trillion of incremental AI cap-ex over the next 3 years,” he said.
This article was generated from an automated news agency feed without modifications to text.