Nvidia's 2026 Price Target Raised by 38%, Analysts Recommend Buy
Written by Emily J. Thompson, Senior Investment Analyst
Updated: Jan 16 2026
0mins
Should l Buy NVDA?
Source: Fool
- Analyst Recommendations: Nvidia's average price target is set at $253, indicating a 38% upside from the current price of $183, reflecting strong market confidence in its future growth, with 94% of analysts recommending a buy, highlighting its popularity among the Magnificent Seven stocks.
- Market Share Outlook: Evercore ISI analyst Mark Lipacis believes Nvidia could capture 70% to 80% of the AI market share, showcasing its competitive edge in general-purpose GPUs and underscoring its pivotal role in the anticipated surge in AI demand.
- Inventory Growth Signal: Lipacis notes that rising inventory levels at Nvidia are indicative of sustained demand growth, suggesting the company is well-positioned to meet market needs and further solidify its leadership in the sector.
- US-China Trade Impact: Although Nvidia could not sell chips to China in 2025 due to trade tensions, the company is set to resume this revenue stream, which is expected to provide new growth momentum, even as the market remains cautious about its future competitive landscape.
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Analyst Views on NVDA
Wall Street analysts forecast NVDA stock price to rise
41 Analyst Rating
39 Buy
1 Hold
1 Sell
Strong Buy
Current: 175.750
Low
200.00
Averages
264.97
High
352.00
Current: 175.750
Low
200.00
Averages
264.97
High
352.00
About NVDA
NVIDIA Corporation is an artificial intelligence (AI) infrastructure company. The Company is engaged in accelerated computing to help solve the challenging computational problems. Its segments include Compute & Networking and Graphics. The Compute & Networking segment includes its Data Center accelerated computing and networking platforms and AI solutions and software, and automotive platforms and autonomous and electric vehicle solutions, including software. The Graphics segment includes GeForce GPUs for gaming and personal computers (PCs), and Quadro/NVIDIA RTX GPUs for enterprise workstation graphics. Its technology stack includes the foundational NVIDIA CUDA development platform that runs on all NVIDIA GPUs, as well as hundreds of domain-specific software libraries, frameworks, algorithms, software development kits (SDKs), and application programming interfaces (APIs). Its platforms address four markets, which include Data Center, Gaming, Professional Visualization, and Automotive.
About the author
Emily J. Thompson
Emily J. Thompson, a Chartered Financial Analyst (CFA) with 12 years in investment research, graduated with honors from the Wharton School. Specializing in industrial and technology stocks, she provides in-depth analysis for Intellectia’s earnings and market brief reports.
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- Surging Order Forecast: CEO Jensen Huang indicated that Nvidia expects approximately $1 trillion in purchase orders for its Blackwell and Vera Rubin chips by 2027, doubling last year's forecast of $500 billion, signaling sustained strong demand for AI chips.
- Future Revenue Expectations: Nvidia anticipates first-quarter revenue of $78 billion for fiscal year 2027, representing an almost 77% increase compared to the same period last year, reflecting strong growth potential in the Agentic AI applications sector, which will further drive demand for AI chips.
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- Overreaction in the Market: Despite the potential for increased demand due to efficiency gains, the market's bearish reaction towards Micron seems excessive, especially as the company projects the high-bandwidth memory market to grow from $35 billion to $100 billion, indicating robust future demand.
- Impact of Jevons Paradox: As memory becomes more efficient, demand may actually rise, suggesting that Micron's market position might not be fundamentally threatened, potentially presenting a buying opportunity for investors.
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- Market Reaction: Following this announcement, shares of memory chipmakers Micron Technology and Sandisk fell by 10% and 14%, respectively, as investors feared a significant drop in demand, reflecting market panic over Google's AI breakthrough.
- Historical Insight: The Jevons Paradox suggests that increased efficiency in resource use can lower costs and subsequently increase demand; historical examples, such as improved fuel efficiency in cars leading to higher fuel consumption, indicate that current market fears may be overstated.
- Analyst Perspective: Mizuho analyst reiterated outperform ratings on Micron and Sandisk, positing that TurboQuant's performance improvements will drive further AI adoption and strengthen demand for memory chips, despite potential short-term price pressures.
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