The 2024 global semiconductor industry outlook anticipates a recovery in chip sales, led by advancements in generative artificial intelligence (AI) and related chip supplies. Despite the cyclical nature of the semiconductor industry, characterized by challenges in 2023, the outlook projects a robust rebound in 2024 with projected sales reaching $588 billion, marking a 13% increase from the previous year and a slight 2.5% rise from the record-high sales in 2022.
Generative AI and Chip Accelerators: Sales of chips designed to accelerate generative AI model training and inference are forecasted to surpass $50 billion in 2024, accounting for approximately 8.5% of total chip sales. This segment is expected to grow significantly, potentially reaching $400 billion by 2027, driven by the increasing demand for AI capabilities across various industries.
Smart Manufacturing and Automation: The adoption of AI in smart manufacturing continues to evolve, enhancing operational efficiency and quality control through predictive maintenance and real-time process optimization.
Assembly and Test Capacity Expansion: There is a notable need for increased assembly and test capacity globally to meet rising demand and ensure timely delivery of products.
Cybersecurity and IP Protection: The semiconductor industry faces heightened cyber threats, necessitating robust cybersecurity measures to safeguard intellectual property against unauthorized access and theft.
Geopolitical Implications: Export controls, particularly around advanced node manufacturing equipment and technologies, and the integration of AI in semiconductors, introduce geopolitical complexities affecting global supply chains and trade dynamics.
The 2024 global semiconductor industry outlook highlights the pivotal role of generative AI in driving innovation and growth, alongside the need for strategic planning in areas such as smart manufacturing, cybersecurity, and geopolitical considerations. The industry faces both significant opportunities and challenges, requiring a nuanced approach to capitalize on technological advancements while managing operational complexities and regulatory constraints.