Nvidia (NVDA) stock Clearly AI has been Wall Street’s biggest winner, but Morgan Stanley thinks it has a lot of room to run.
Analyst Joe Moore recently bumped from his price target $250 who $235a giant 38% up From Nvidia’s current price $181.46.
Moore, rated 5 stars on TipRanks, feels anxious Google-parent Alphabet (GOOGL) or Advanced Micro Devices (AMD) catching up”overstated“New tests confirm that Nvidia hasn’t lost any meaningful market share.
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Instead, demand for its GPUs, HBM, and advanced packaging remains hotter than expected as businesses race to scale AI models.
Moore feels that Nvidia still remains the go-to for customers, as it continues to offer the best overall cost-and-performance equation, backed by a strong software stack and a reliable long-term roadmap.
Morgan Stanley’s Joe Moore recently raised his Nvidia price target to $250, reaffirming the chipmaker’s dominance in the AI race. Photo by Christian Wiediger on Unsplash” loading=”eager” height=”640″ width=”960″ class=”yf-1gfnohs loader”/>
Morgan Stanley’s Joe Moore recently raised his Nvidia price target to $250, reaffirming the chipmaker’s dominance in the AI race.Photo by Christian Widiger on Unsplash
Moore’s optimism lies in Nvidia’s “end-to-end advantage” in the GPU space.
That strong combo of superior chip performance, software maturity, and deployment speed puts it above the competition.
In short, customers choose Nvidia not for its raw power, but because it shortens training time and lowers operating costs, while keeping large-scale AI projects on schedule.
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Moore also noted how aggressively hyperscalers are ramping up AI workloads with tight supply for GPUs, HBM, and advanced packaging, reinforcing Nvidia’s enviable position in the race.
For perspective, Nvidia sits at Wall Street’s consensus on the stock Average $250.66 price targetThat represents an increase of about 38% from the current level.
Moore’s new $250 target matches that consensus, while keeping Morgan Stanley firmly in camp puts Nvidia another leg up. of the road The high-end estimate reaches $352So Moore’s call puts Nvidia on the bullish end of the range.
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Besides Morgan Stanley, other heavyweights also recently bumped their Nvidia targets:
Goldman Sachs and JP Morgan Both raised around their 12-month Nvidia targets $250Behind the ever-growing AI infrastructure demand and healthy data-center visibility.
Jeffery hit its target $240 to $250 While repeating a buy itNvidia criticized the AI build-out, saying it “answered the bell” on the increase.
Cantor Fitzgerald A step forward, his goal was raised to a road-high $240 to $300, Keeping as Nvidia “Top pick” overweight. The firm makes the case that we are still in the early innings of a multi-trillion-dollar AI infrastructure cycle.
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Moore’s argument that Nvidia hasn’t lost any meaningful market share may sound like analyst shorthand, but the data actually backs him up.
The latest AI-server work by TrendForce highlights that Nvidia almost dominates 70% of AI chip market by 2025.
That’s after accounting for all the hullabaloo with the emergence of Google TPUs and other custom ASICs. It also notes that hyperscalar capex remains heavily “focused on Nvidia’s high-end GPUs,” with in-house chips often supplementing this point.
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More, of Dell’Oro 2Q 2025 The data-center component report echoes the same view.
Nvidia trumps all vendors in data-center IT component sales Blackwell Ultra Especially being a major driving force of the accelerator and high-bandwidth-memory boom.
On top of that, broader industry syntheses still place Nvidia’s market share in the middle 80% to 95% The total AI-accelerator market and approx 92% of data center GPU sharing.
Additional checks from TrendForce, CounterPoint, Canalys, and Omdia support that pattern, predictably 70%-80% AI-GPU shipping partnership for Nvidia by 2025-26.
Also, OEMs such as Dell, HPE, Supermicro and Lenovo have joined forces with Nvidia to design their flagship AI servers around Hopper and Blackwell.
Even outside of Wall Street, we’re seeing a similar pattern.
For example, in Reddit’s post r/data beautiful (A subreddit with more 1 million weekly visitors), a user charted GPU price-to-performance trends across several Nvidia generations.
Although the post wasn’t focused on data-center AI training, the broader story still aligns; Every new Nvidia generation offers more bang for the buck.
What’s more, that consumer-level takeaway aligns with what independent AI benchmarks show on a much larger scale.
In a test reported by AIMultiple, an Nvidia H100 almost pushed 23,000 tokens per second in a $2.69/hour A cloud instance, which is approx 8,600 tokens per second for every dollar spent.
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This story was originally published by TheStreet on December 3, 2025, where it first appeared in the Investing section. Add TheStreet as a preferred source by clicking here.
