AI Infrastructure Spending to Reach $902 Billion by 2029
Written by Emily J. Thompson, Senior Investment Analyst
Updated: 1 hour ago
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Should l Buy NVDA?
Source: NASDAQ.COM
- Market Growth Forecast: Statista projects that AI infrastructure spending will reach $902 billion by 2029, a significant increase from $334 billion in 2025, indicating strong demand and investment potential in AI technologies.
- Nvidia's Market Dominance: Nvidia's data center business accounted for over 90% of its revenue last quarter, growing 75% year-over-year, highlighting its critical role and high margins in the AI infrastructure landscape.
- Iren's Strategic Advantage: Iren has secured over 4.5 gigawatts of power and signed a $9.7 billion contract with Microsoft, expecting to generate $3.4 billion in annualized revenue by 2026, showcasing its strong execution capabilities and market opportunities in data center construction.
- Long-Term Investment Outlook: While Nvidia's valuation reflects strong growth, its projected earnings growth of 38% over the next five years, combined with Iren's untapped market potential, suggests both companies remain compelling investment opportunities amid the AI boom.
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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: 165.170
Low
200.00
Averages
264.97
High
352.00
Current: 165.170
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.
- Significant Revenue Growth: Nvidia reported a revenue of $215.9 billion for fiscal 2026, reflecting a 65% year-over-year increase, despite a 10.2% decline in stock price so far in 2026, indicating market concerns about the sustainability of AI infrastructure spending.
- Robust AI Demand Outlook: CEO Jensen Huang announced at the GTC AI Conference that demand for AI systems is projected to reach at least $1 trillion in 2026 and 2027, a substantial increase from the previous estimate of $500 billion, highlighting the long-term trend in AI infrastructure development.
- Diversified Customer Base: Nvidia's business is composed of 60% from hyperscalers and 40% from enterprises, sovereign AI projects, startups, and emerging applications, ensuring that the company is not overly reliant on any single industry, thereby mitigating market risks.
- Continuous Product Innovation: Nvidia is actively launching new products, with ongoing deployments of Hopper systems and ramping up Blackwell systems, while future platforms like Rubin and Feynman are already in development, enhancing the company's competitive edge in the market.
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- Investor Confidence: According to recent research by The Motley Fool, 59% of investors surveyed on March 3, 2026, hold AI stocks, indicating strong investor confidence in AI despite the tech sector's slump.
- Youth Engagement: The survey reveals that Gen Z and millennials have the highest AI stock ownership rates at 67% and 66%, respectively, highlighting the younger generation's keen interest and willingness to invest in future technologies.
- Major Investment Plans: Leading tech giants like Alphabet, Amazon, Meta, and Microsoft are projected to spend between $600 billion and $700 billion on AI data centers by 2026, reflecting their commitment to the AI sector and confidence in future growth.
- Nvidia's Success Story: Nvidia's stock has surged 1,190% over the past five years, exemplifying a successful investment in AI infrastructure, which encourages investors to consider opportunities in this rapidly evolving field.
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- Succession Issues: As CEO Tim Cook approaches 65, rumors of his retirement persist despite his denials, with John Ternus, who has been with Apple for nearly 15 years and oversees hardware engineering, seen as a potential successor, facing complex supply chain challenges ahead.
- AI Strategy Lagging: While Apple dominates the U.S. smartphone market with over $100 billion in annual services revenue, its investment in AI lags behind competitors pouring hundreds of billions into infrastructure, and the slow evolution of Siri may hinder its future market competitiveness.
- China Market Dilemma: Apple's revenue from China reached $64.4 billion in fiscal 2025, down 11% from two years prior, although recent quarterly sales surged 38%, the ongoing U.S.-China trade tensions pose risks of tariffs and supply chain disruptions, leaving long-term growth prospects uncertain.
- Brand Positioning Challenges: Apple faces pressure to maintain its premium brand image as it introduces lower-priced products to attract more users, with analysts warning that failure to manage brand perception could dilute its brand value significantly.
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- Layoff Announcement: Oracle has begun notifying its 162,000 employees about plans to cut thousands of jobs, aiming to free up cash flow to support its $50 billion data center buildout, which is expected to enhance revenue in the long term.
- Stock Price Reaction: Following the layoff news, Oracle's shares rose 2.6% in premarket trading, although the stock has declined approximately 25% this year, indicating market caution regarding the company's future prospects.
- Capital Expenditure Concerns: Oracle plans to raise up to $50 billion in 2025 through a mix of debt and equity to meet cloud demand from clients, yet investors are worried about the substantial spending on AI infrastructure.
- Analyst Insights: Barclays analysts noted that the layoffs will help free up cash flow and expect Oracle's revenue to triple over the next few years, despite lower profit per employee compared to competitors, highlighting the company's potential for cost control.
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- Strategic Investment: Nvidia's $2 billion strategic partnership with Marvell focuses on core technologies such as NVLink, AI-RAM, and optical networking, highlighting Nvidia's ambitions in the AI infrastructure sector.
- Technological Integration: Nvidia's NVLink Fusion technology will enable hyperscalers and custom integrated circuit designers to better integrate their CPUs and XPUs, enhancing overall computing efficiency and performance.
- Market Motivation for Marvell: While analysts express uncertainty about the specific importance of the technology collaboration, Marvell is motivated to pursue this partnership due to Nvidia's substantial investment, demonstrating its adaptability in the market.
- Complementary Products: Under the agreement, Marvell will provide custom AI accelerators and NVLink Fusion-compatible networking solutions, while Nvidia will offer products like Vera CPUs and ConnectX NICs, further strengthening both companies' competitive positions in the market.
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- Market Share Shift: By 2025, Chinese GPU and AI chip makers captured 41% of the AI accelerator server market, significantly narrowing Nvidia's once-dominant position, indicating the rapid rise of local companies in market competition.
- Shipment Data: Total shipments of AI accelerator cards by Nvidia, AMD, and Chinese chipmakers reached approximately 4 million units in 2025, with Nvidia shipping nearly 2.2 million cards for a 55% market share, reflecting a decline from its previous dominance amid increasing competition.
- Local Vendor Performance: Huawei led among Chinese vendors with approximately 812,000 AI chips shipped, accounting for nearly half of all local branded shipments, showcasing its strong influence in the domestic market.
- Policy Incentives: In 2025, Beijing unveiled a new wave of AI infrastructure spending, with local governments boosting intelligent computing centers, many of which carried implicit directives to “buy Chinese,” further promoting the use of domestic chips.
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