财报前瞻 | AI芯片霸主英伟达(NVDA.US)再临大考,华尔街押注“超预期+上调指引“
NvidiaNvidia(US:NVDA) 智通财经网·2025-11-17 04:03

Core Viewpoint - Nvidia is expected to report strong earnings for Q3 FY2026, with adjusted earnings per share projected at $1.26 and revenue estimated at $55.28 billion, reflecting over 55% year-over-year growth [1] Group 1: Data Center Business - The data center business is anticipated to be a key growth driver, benefiting from the increasing adoption of cloud solutions and strong demand for Nvidia's chips in the generative AI and large language model markets [2] - Estimated revenue for the data center segment in Q3 is $48.04 billion, indicating a robust year-over-year growth of 56.1% [2] Group 2: Gaming and Professional Visualization - The gaming segment is showing signs of recovery, with estimated revenue for Q3 at $4.71 billion, representing a 43.7% increase compared to the previous year [2] - The professional visualization segment is also expected to continue its growth trend, with estimated revenue of $678.9 million, reflecting a 39.7% year-over-year increase [3] Group 3: Automotive Sector - The automotive segment is projected to see continued improvement, with estimated revenue for Q3 at $624.8 million, which would mark a 39.1% year-over-year growth [3] Group 4: Generative AI Market - Nvidia is positioned as a leader in the generative AI chip market, with increasing demand across various industries, including marketing, healthcare, and gaming [4] - The global generative AI market is expected to reach $967.65 billion by 2032, with a compound annual growth rate of 39.6% from 2024 to 2032 [4] Group 5: Analyst Sentiment - Analysts from Jefferies and Wedbush expect Nvidia to exceed earnings expectations and raise future guidance, citing strong capital expenditure trends from large-scale enterprises [6] - Bank of America maintains a target price of $275, anticipating assurances from Nvidia executives regarding their capacity to meet demand [7] - Oppenheimer analysts have raised Nvidia's target price, identifying it as the most likely winner in the AI sector [9]