Nvidia Chief Expects Artificial Intelligence Market to Reach Four Trillion Dollars by 2030
Santa Clara, Monday, 14 September 2026.
Nvidia CEO Jensen Huang reaffirmed his prediction that the artificial intelligence market will hit $4 trillion by 2030, driven by soaring infrastructure demand and unprecedented chip scarcity.
Reaffirming the 2030 Market Vision
Nvidia Corporation (NVDA) Chief Executive Officer Jensen Huang has reiterated his long-term projection for the artificial intelligence infrastructure market, maintaining that the sector will reach a valuation between $3 trillion and $4 trillion by 2030 [1][2]. This statement was made during a presentation at the Goldman Sachs Communacopia & Tech conference on Thursday, 10 September 2026, exactly one year after the initial prediction was unveiled at the same event [1][2]. The reaffirmation serves as a significant vote of confidence for specialized cloud infrastructure providers, including CoreWeave and Nebius, which rely heavily on Nvidia’s semiconductor technology [2][3]. Market analysts note that Huang’s consistency in maintaining this forecast underscores a belief in the sustained demand for AI computing power despite broader economic fluctuations [1][3].
Financial Performance and Quarterly Results
In conjunction with the market outlook, Nvidia reported quarterly financial results that exceeded analyst expectations, reinforcing the company’s dominant position in the semiconductor industry [2]. The company posted an adjusted earnings per share (EPS) of $2.22, surpassing the expected $2.09, while total revenue reached $96.2 billion against a projection of $92.3 billion [2]. Data Center revenue specifically accounted for $89 billion of the total, exceeding the $85.8 billion projection, while Edge Computing revenue contributed $7.2 billion compared to the expected $6.6 billion [2]. These figures highlight the robust demand for Nvidia’s advanced graphics processing units (GPUs) across various sectors of the technology industry [2][3].
Strategic Infrastructure Partnerships
A critical component of Nvidia’s strategy involves deep integration with cloud infrastructure partners, evidenced by its 11.5% equity stake in CoreWeave [2]. Nvidia acts as the primary financial guarantor and supplies 100% of the advanced GPUs powering CoreWeave’s AI data centers, creating a symbiotic relationship that supports both entities’ growth trajectories [2]. CoreWeave CEO Michael Intrator highlighted the intensity of current market demand, stating that every available GPU could be sold to multiple different clients [2]. This supply constraint indicates that production capacity remains a limiting factor in meeting the escalating requirements of AI model training and deployment [2][4].
Security Concerns and Future Growth
Addressing industry challenges, Huang suggested that heightened fear surrounding AI security risks is largely driven by cybersecurity firms seeking to expand their enterprise business [2]. Looking ahead, Nvidia forecasts 70% revenue growth for fiscal year 2028, a figure that surpasses the analyst consensus of 45% [2]. The CEO noted that growth could potentially exceed 100% if not for ongoing memory chip shortages, emphasizing the compounded result of smarter AI models and the end of Moore’s law [2]. As the semiconductor industry continues to expand, these dynamics suggest a prolonged period of infrastructure investment leading up to the 2030 target [1][3].