Artificial Intelligence is creating the largest semiconductor investment cycle since the invention of the microprocessor. The explosive growth of generative AI, foundation models, AI factories, and hyperscale GPU clusters has transformed advanced semiconductors from a component of the digital economy into one of the world's most strategic industrial assets.
The AI revolution is increasingly constrained not by algorithms but by access to advanced compute chips, packaging capacity, high-bandwidth memory (HBM), photonics, and semiconductor manufacturing infrastructure.
The world is witnessing an unprecedented global race to build semiconductor manufacturing capacity capable of supporting artificial intelligence workloads. Governments, foundries, hyperscalers, and sovereign wealth funds are collectively committing trillions of dollars to expand semiconductor production capabilities across North America, Europe, Asia, and the Middle East.
Industry estimates suggest that cumulative investments in AI-related semiconductor manufacturing infrastructure could exceed US$ 4 trillion between 2025 and 2040, while annual investments in advanced fabs, packaging facilities, and HBM production could exceed US$ 400 billion annually by the mid-2030s.
The report builds the brains of artificial intelligence. The report tracks semiconductor fabs, advanced packaging facilities, chip manufacturing capacity, supply chains, and investments powering the global AI economy. The report mainly answers who will manufacture the chips that power artificial intelligence. The report covers 3,000+ Semiconductor Projects, 1,500+ Companies, 80+ Countries, 650+ pages.
Major Market Participants
Foundries and Manufacturing Leaders
● TSMC
● Samsung Electronics
● Intel Foundry
● GlobalFoundries
● SMIC
● UMC
AI Chip Designers
● NVIDIA
● AMD
● Intel
● Broadcom
● Marvell Technology
Memory and HBM Leaders
● SK hynix
● Micron Technology
● Samsung Electronics
Equipment Suppliers
● ASML
● Applied Materials
● Lam Research
● Tokyo Electron
● KLA Corporation
Why This Report Matters
The AI race may ultimately be decided by semiconductor manufacturing capacity.
Executives and policymakers are increasingly asking:
● Who controls advanced AI chip production?
● Which countries are building new fabs?
● Where will HBM shortages emerge?
● Can packaging become the next bottleneck after wafers?
● Which regions are becoming semiconductor manufacturing hubs?
● How quickly can global manufacturing capacity expand?
This report is designed to answer those questions through project-level intelligence and long-term capacity forecasting.
Key Market Drivers
● Generative AI expansion
● GPU shortages
● Sovereign semiconductor strategies
● AI factory deployment
● National security considerations
● Supply chain diversification
● Semiconductor sovereignty initiatives
The AI race may ultimately be decided by semiconductor manufacturing capacity.
Executives and policymakers are increasingly asking:
● Who controls advanced AI chip production?
● Which countries are building new fabs?
● Where will HBM shortages emerge?
● Can packaging become the next bottleneck after wafers?
● Which regions are becoming semiconductor manufacturing hubs?
● How quickly can global manufacturing capacity expand?
This report is designed to answer those questions through project-level intelligence and long-term capacity forecasting.
PART I — Executive Intelligence
● Executive Summary
● CEO Briefing
● Global Semiconductor Snapshot
● Key Findings
● Future Outlook
PART II — Semiconductor Market Overview
● Market Size and Forecast
● Industry Structure
● Growth Drivers
● Value Chain Analysis
● Research Methodology
PART III — Fab Construction Intelligence
● Semiconductor Projects
● Fab Expansion Pipeline
● Capacity Additions
● Regional Investments
● Project Timelines
PART IV — Foundry Intelligence
● TSMC Strategy
● Samsung Strategy
● Intel Foundry Strategy
● GlobalFoundries Strategy
● Competitive Landscape
PART V — Packaging Intelligence
● Advanced Packaging
● CoWoS
● Chiplets
● 2.5D Packaging
● 3D Packaging
PART VI — HBM Intelligence
● HBM Demand Forecasts
● Supplier Analysis
● Capacity Expansion
● Pricing Trends
PART VII — Equipment Intelligence
● Lithography Equipment
● Etching Equipment
● Deposition Equipment
● Inspection Equipment
PART VIII — Country Intelligence
● United States
● Taiwan
● South Korea
● China
● Japan
● Europe
● India
● Middle East
PART IX — Supply Chain Intelligence
● Materials
● Chemicals
● Gases
● Wafers
● Substrates
PART X — Risk Intelligence
● Export Controls
● Geopolitical Risks
● Supply Chain Risks
● Technology Risks
PART XI — Forecast Intelligence
● Capacity Forecasts
● Investment Forecasts
● Technology Roadmaps
● Scenario Analysis to 2040
PART XII — Appendices
● Methodology
● Data Sources
● References
● Glossary
● Definitions
The AI revolution is increasingly constrained not by algorithms but by access to advanced compute chips, packaging capacity, high-bandwidth memory (HBM), photonics, and semiconductor manufacturing infrastructure.
The world is witnessing an unprecedented global race to build semiconductor manufacturing capacity capable of supporting artificial intelligence workloads. Governments, foundries, hyperscalers, and sovereign wealth funds are collectively committing trillions of dollars to expand semiconductor production capabilities across North America, Europe, Asia, and the Middle East.
Industry estimates suggest that cumulative investments in AI-related semiconductor manufacturing infrastructure could exceed US$ 4 trillion between 2025 and 2040, while annual investments in advanced fabs, packaging facilities, and HBM production could exceed US$ 400 billion annually by the mid-2030s.
The report builds the brains of artificial intelligence. The report tracks semiconductor fabs, advanced packaging facilities, chip manufacturing capacity, supply chains, and investments powering the global AI economy. The report mainly answers who will manufacture the chips that power artificial intelligence. The report covers 3,000+ Semiconductor Projects, 1,500+ Companies, 80+ Countries, 650+ pages.
Major Market Participants
Foundries and Manufacturing Leaders
● TSMC
● Samsung Electronics
● Intel Foundry
● GlobalFoundries
● SMIC
● UMC
AI Chip Designers
● NVIDIA
● AMD
● Intel
● Broadcom
● Marvell Technology
Memory and HBM Leaders
● SK hynix
● Micron Technology
● Samsung Electronics
Equipment Suppliers
● ASML
● Applied Materials
● Lam Research
● Tokyo Electron
● KLA Corporation
Why This Report Matters
The AI race may ultimately be decided by semiconductor manufacturing capacity.
Executives and policymakers are increasingly asking:
● Who controls advanced AI chip production?
● Which countries are building new fabs?
● Where will HBM shortages emerge?
● Can packaging become the next bottleneck after wafers?
● Which regions are becoming semiconductor manufacturing hubs?
● How quickly can global manufacturing capacity expand?
This report is designed to answer those questions through project-level intelligence and long-term capacity forecasting.
Key Market Drivers
● Generative AI expansion
● GPU shortages
● Sovereign semiconductor strategies
● AI factory deployment
● National security considerations
● Supply chain diversification
● Semiconductor sovereignty initiatives
The AI race may ultimately be decided by semiconductor manufacturing capacity.
Executives and policymakers are increasingly asking:
● Who controls advanced AI chip production?
● Which countries are building new fabs?
● Where will HBM shortages emerge?
● Can packaging become the next bottleneck after wafers?
● Which regions are becoming semiconductor manufacturing hubs?
● How quickly can global manufacturing capacity expand?
This report is designed to answer those questions through project-level intelligence and long-term capacity forecasting.