Nvidia (NVDA 1.86%) became the first company in the world to achieve a $5 trillion market capitalization in October 2025, fueled by the artificial intelligence (AI)-powered growth in its revenue and earnings in recent years.
The good news for Nvidia stock investors is that the semiconductor giant’s growth isn’t showing any signs of slowing down. It continues to dominate the lucrative AI chip market, and more importantly, Nvidia continues to hunt for new opportunities to sustain its phenomenal growth.
Nvidia’s performance in the first quarter of fiscal 2027 (which ended on April 26) clearly shows that the intensifying competition in the AI chip market isn’t affecting its growth. In fact, I won’t be surprised if it becomes the world’s first $15 trillion company in the next three years. Let’s see why that’s likely to be the case.
Image source: Nvidia.
Nvidia is poised to deliver stronger growth in the AI inference era
Nvidia has dominated the AI chip market in recent years thanks to its graphics processing units (GPUs), which offer massive parallel computing power, making them ideal for training large language models (LLMs). However, there is enough evidence suggesting that hyperscalers and AI companies prefer custom chips in the inference era to reduce compute costs.
Today’s Change
(-1.86%) $-4.09
Current Price
$215.42
Key Data Points
Market Cap
$5.2T
Day’s Range
$214.84 – $221.07
52wk Range
$132.92 – $236.54
Volume
5.8M
Avg Vol
171.3M
Gross Margin
74.15%
Dividend Yield
0.02%
That’s not surprising, as inference workloads require much less computational power than the training phase, which is why GPUs are considered overkill for inference applications. However, Nvidia’s latest results make it clear that its GPUs remain relevant in the AI inference era.
The company reported an 85% year-over-year increase in revenue in fiscal Q1 to $81.6 billion. That was a significant improvement over the 69% revenue growth it reported in the same quarter last year. The semiconductor specialist’s non-GAAP earnings jumped by a whopping 140% year over year to $1.87 per share, again exceeding the 33% growth it clocked in the year-ago period.
Nvidia’s guidance clearly suggests that its growth is poised to accelerate. The company anticipates $91 billion in revenue in the current quarter, a 95% increase over the year-ago period. The company’s ability to accelerate growth despite achieving a massive revenue base is commendable, indicating that Nvidia is now in a robust position to capitalize on the next phase of the AI computing cycle.
According to Deloitte, AI inference will account for two-thirds of compute power in data centers this year. However, the consulting giant adds that instead of inference-focused chips, the majority of the computing will be performed by powerful chips such as GPUs. Given that Nvidia is designing its server racks to deliver higher inference performance at lower costs, it is easy to see why hyperscalers, sovereign customers, and cloud computing providers continue to line up for its chips.
Nvidia management noted on the latest earnings call that its next-generation Vera Rubin server racks can “deliver up to 35x higher inference throughput and up to 10x greater AI factory revenue compared with Blackwell.” So, it is easy to see why Nvidia management is confident of achieving $1 trillion in revenue from its Blackwell and Rubin chips in 2026 and 2027.
What’s more, the company believes that inference and agentic AI applications will significantly boost AI infrastructure spending from an estimated $1 trillion in 2026 to a range of $3 trillion to $4 trillion by the end of the decade. Nvidia reported $75.2 billion in data center revenue in fiscal Q1, translating into an annual run rate of $300 billion. The massive AI infrastructure spending the company expects by 2030 suggests it still has significant room for growth in this market.
That’s the reason why analysts have become more bullish about its prospects, paving the way for Nvidia to cross the $15 trillion market cap milestone within the next three years.
The math behind Nvidia’s $15 trillion valuation
Analysts have revised their growth expectations following Nvidia’s latest results. As the following chart shows us, Nvidia’s earnings estimates for the next three fiscal years have crept up.
Data by YCharts
Nvidia’s expectation of a significant acceleration in AI infrastructure spending over the coming years could help it sustain its remarkable growth. However, even if its earnings increase to $15.51 per share in fiscal 2029 (which will end in January 2029) and it trades at 43 times earnings at that time (in line with the tech-focused Nasdaq Composite index’s earnings multiple), its stock price could jump to $667.
That’s just over triple its current stock price, which should be enough for this AI stock to breach the $15 trillion market cap milestone, given its current $5.2 trillion market cap. So, it would make sense for investors to continue loading up on Nvidia shares, as it can soar higher over the next three years on account of its outstanding growth potential.
