Thorough explanation of the world's top 10 semiconductor companies | Who will win in the AI era?

[Summary]

The AI revolution is bringing the global semiconductor market to a historic turning point.

Semiconductors are no longer just electronic components.

AI, generation AI
Data center, cloud infrastructure
Autonomous driving, EV
Defense, national security
Smartphone, edge AI
Robotics, Factory Automation

It is the strategic infrastructure that plays the core of all of this.

According to Gartner's preliminary tally, global semiconductor sales in 2025 will be $793.4 billion, an increase of 21.0% from the previous year.

At the center are NVIDIA, Samsung, SK Hynix, Intel, Micron, Qualcomm, Broadcom, AMD, Apple, and MediaTek.

In this article, we will summarize the world's top 10 semiconductor companies, differences in business models, the essence of NVIDIA and TSMC, the HBM war, Intel's restructuring, and investment themes for 2026-2027.

The semiconductor industry is made up of three business models

When comparing semiconductor companies, it is easy to misunderstand the essence of a company by looking only at sales.

What is important is which business model the company belongs to.

1. Fabless

A fabless company is a company that does not have its own factory and specializes in design and development.

Actual manufacturing will be outsourced to foundries such as TSMC.

Item	Contents
Strengths	Avoid huge factory investments and focus on design and software
Weaknesses	Dependence on external manufacturers such as TSMC
Representative companies	NVIDIA, AMD, Qualcomm, Broadcom, Apple, MediaTek

This fabless type is the strongest in the current AI semiconductor market.

By designing GPUs and controlling software ecosystems such as CUDA, NVIDIA is able to achieve high profit margins without owning a factory.

2. Foundry

A foundry is a contract manufacturing company that manufactures semiconductors designed by other companies.

The representative is TSMC.

Item	Contents
Strengths	Able to serve fabless companies around the world as customers
Weaknesses	Very heavy factory investment
Representative companies	TSMC, Samsung Foundry, SMIC, UMC, GlobalFoundries

TSMC manufactures advanced chips for companies such as NVIDIA, Apple, AMD, and Qualcomm.

In other words, the more competitive AI semiconductor design becomes, the more likely TSMC's advanced manufacturing capabilities will become a bottleneck.

3.IDM

IDM is a vertically integrated company that handles everything from design, manufacturing, and sales in-house.

Item	Contents
Strengths	Design and manufacturing can be optimized together
Weaknesses	Heavy factory maintenance costs and capital investment burden
Representative companies	Samsung Electronics, SK Hynix, Intel, Micron

IDM has had strengths in memory semiconductors and CPUs.

However, in the AI era, success and darkness will be determined by the ability to respond to GPUs, HBM, and advanced packaging.

Ranking of the world's top 10 semiconductor companies

The following is the 2025 global semiconductor vendor sales ranking published by Gartner in January 2026.

Units are in millions of dollars.

2025 ranking	Company name	Headquarters	Main models	2025 sales	Market share	2025 position
1	NVIDIA	United States	Fabless	125,703	15.8%	First AI GPU to exceed $100 billion
2	Samsung Electronics	South Korea	IDM	72,544	9.1%	Memory giant HBM is making a comeback
3	SK Hynix	South Korea	IDM	60,640	7.6%	Overtakes Intel to rank third in HBM demand
4	Intel	United States	IDM	47,883	6.0%	From CPU champion to rebuilding phase
5	Micron Technology	United States	IDM	41,487	5.2%	US memory giant recovers with HBM
6	Qualcomm	United States	fabless	37,046	4.7%	Smartphone SoC, Edge AI, Automotive
7	Broadcom	USA	Fabless	34,279	4.3%	AI Network, Custom ASIC
8	AMD	United States	Fabless	32,484	4.1%	Chase with CPU and AI GPU
9	Apple	USA	In-house design	24,596	3.1%	In-house chips such as A/M series
10	MediaTek	Taiwan	Fabless	18,472	2.3%	Smartphone SoC, edge terminal

According to Gartner, AI semiconductors will account for about one-third of the semiconductor market in 2025, and sales of AI processors will exceed $200 billion.

HBM also accounted for 23% of the DRAM market, with sales exceeding $30 billion.

One thing to note about this ranking is that TSMC is not included.

Because TSMC is a foundry that manufactures chips designed by other companies rather than a semiconductor vendor, it is often viewed separately from sales of companies such as NVIDIA in order to avoid double counting.

However, TSMC's actual importance is comparable to, or even greater than, the top 10 companies.

TSMC's consolidated sales in 2025 will be 3.81 trillion Taiwan dollars, or about 122.4 billion dollars in US dollars.

Why NVIDIA is the king

NVIDIA will have semiconductor sales of $125.7 billion in 2025, trailing Samsung by about $53.1 billion.

Additionally, the company's entire fiscal year 2026 will have sales of $215.9 billion and data center sales of $193.7 billion.

Many investors view NVIDIA as a GPU company.

However, at its heart, it is a platform company that supports everything from AI development to operation.

CUDA is the biggest barrier to entry

NVIDIA's greatest strength is CUDA, which it has invested in since 2006.

CUDA is a software platform for using GPUs for general-purpose calculations, and many AI developers build models, libraries, and operating environments based on CUDA.

Key point
↓
NVIDIA GPUKey point
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NVIDIA GPUKey point
↓
profitKey point
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Key point

Even if AMD or Intel releases high-performance AI chips, there are development costs and operational risks involved in migrating from CUDA.

This supports NVIDIA's pricing power and high gross profit margin.

From GPU to AI Factory

NVIDIA is no longer a company that sells individual chips.

The company has become an AI factory that designs entire data centers, including GPUs, CPUs, networks, software, racks, and cooling.

In the AI era, NVIDIA is valued as a company that holds the AI infrastructure standard rather than a semiconductor company.

Why TSMC is called the world's most important company

No matter how well-designed NVIDIA, Apple, AMD, Qualcomm, and Broadcom are, they cannot mass-produce cutting-edge chips on their own.

TSMC is responsible for turning that design into actual silicon.

According to TrendForce, TSMC's share of the global foundry market in the fourth quarter of 2025 was 70.4%.

Samsung Foundry is in second place with 7.1%.

This difference is very large.

Strength of TSMC

Strengths	Contents
Advanced processes	Leading with miniaturization such as 3nm and 2nm
Yield	Good product rate and mass production stability support customer trust
CoWoS	Advanced packaging that connects GPU and HBM
Customer base	Customers include the most important companies such as NVIDIA, Apple, and AMD
Investment size	2026 CapEx expected to be $52 billion to $56 billion

TrendForce predicts that global foundry sales in 2026 will increase 24.8% year-on-year to approximately $218.8 billion.

In particular, advanced nodes below 5/4nm are strongly supported by AI GPUs from NVIDIA and AMD, and in-house AI chips from Google, AWS, Meta, OpenAI, and others.

In other words, the more competition between AI chip design companies intensifies, the more likely TSMC's advanced manufacturing value will rise.

HBM War: SK Hynix, Samsung, Micron

In the AI semiconductor market, not only GPUs but also HBMs are becoming a bottleneck.

HBM stands for High Bandwidth Memory.

No matter how fast the AI GPU is, performance will not be achieved if the speed of retrieving data from memory is slow.

Therefore, GPU and HBM are important as a set for NVIDIA's H100, H200, Blackwell, and next-generation Rubin.

SK Hynix takes the lead

According to Gartner, SK Hynix's semiconductor sales in 2025 will be $60.6 billion, an increase of 37.2% from the previous year, surpassing Intel to become the third largest company in the world.

The main driver of growth is HBM.

TrendForce's HBM market analysis also shows that SK Hynix will maintain its top position in 2026, with Samsung and Micron following suit.

Company	Position at HBM
SK Hynix	Leading and leading position in HBM for NVIDIA
Samsung	Turn around with HBM3E and HBM4
Micron	Presence as a US memory major for AI servers

HBM usually tends to have a higher unit price and higher profits than DRAM.

Therefore, the expansion of the AI server market is also changing the profit structure of memory companies.

Can Intel make a comeback?

Intel has been the king of the CPU market for many years.

However, it is struggling in the age of AI.

There are two reasons.

Delays in manufacturing process
Lost leadership to NVIDIA in the AI accelerator market

According to Gartner's 2025 rankings, Intel's semiconductor sales were $47.88 billion, down 3.9% from the previous year.

Gartner points out that the market share was 6.0%, about half of what it was in 2021.

Intel's restructuring plan

Intel is currently undergoing restructuring under CEO Lip-Bu Tan.

The focus is on manufacturing chips for itself as well as external customers through Intel Foundry.

Additionally, the US government acquired approximately 10% of Intel's shares in August 2025.

This has great national security implications for keeping cutting-edge semiconductor manufacturing within the United States.

However, it will take time to close the gap with TSMC.

When looking at Intel, rather than looking at short-term business results, we need to look at improvements in manufacturing processes, acquisition of external customers, and profitability in the foundry business.

Semiconductor market trends in 2026-2027

Gartner predicts global AI spending in 2026 to be $2.596 trillion.

Of that, AI infrastructure is the largest segment accounting for $1.432 trillion, accounting for more than 45% of total AI spending.

This trend has a direct impact on the semiconductor market.

1. AI GPU and Accelerators

The focus is on NVIDIA and AMD.

NVIDIA is moving from Blackwell to Rubin to capture not only AI learning but also inference, agent AI, and robotics demand.

AMD is pursuing the MI350 series, but the difference with CUDA is an issue.

2.HBM

The core companies are SK Hynix, Samsung, and Micron.

HBM is an important component that determines the shipment volume of AI servers, and is attracting as much attention from investors as GPUs.

3. Advanced packaging

The centerpiece is TSMC's CoWoS.

Advanced packaging is essential for high-density connectivity between GPUs and HBM.

CoWoS capacity tends to be a constraint on AI server supply.

4. AI network semiconductor

The main players are Broadcom and NVIDIA.

Connecting tens of thousands of GPUs within a data center requires a high-speed network.

InfiniBand, Ethernet, custom switches, and optical communications will be growth areas.

5. Edge AI

The core companies are Qualcomm, Apple, AMD, and MediaTek.

AI processing will spread not only to the cloud but also to smartphones, PCs, cars, and robots.

In this area, low power consumption AI chips, NPUs, and automotive semiconductors will become important.

Risks that investors should look at

Semiconductor stocks are experiencing high growth, but they are also highly risky.

The points that investors should look at are as follows.

Risk	Points to watch
Overheating AI investment	Will hyperscalers' CapEx slow down
Price competition	NVIDIA's gross profit margin, rise of AMD and ASIC
Taiwan risk	Geopolitical risk due to TSMC concentration
Memory market	HBM is strong, but general-purpose DRAM/NAND is cyclical
Capital investment cycle	CapEx outlook for TSMC, Samsung, and Intel
Regulatory risks	Export restrictions to China, US-China semiconductor friction

Of particular importance is the ROI of AI investments.

If generative AI and agent AI do not lead to corporate profits, hyperscalers may adjust the pace of investment.

In that case, semiconductor stocks are prone to large corrections in the short term.

Conclusion

The semiconductor market is a battle for supremacy in the AI era.

The current composition can be organized as follows.

NVIDIA：AIKey point
TSMC：Key point
SK HynixKey point
Broadcom：AIKey point
Intel：Key point

AI infrastructure investment is likely to further expand from 2026 to 2027.

However, the winners will not be all companies that call themselves "semiconductor-related."

What matters is where in the AI supply chain they are located and which bottlenecks they hold.

NVIDIA, TSMC, HBM, advanced packaging, AI network, edge AI.

Understanding this structure is the most important perspective when investing in semiconductor stocks.

Reference information

This article is for educational and informational purposes only, based on public information. It is not a recommendation or solicitation to buy or sell any specific security or financial product. Although care is taken with accuracy, the content and future investment outcomes are not guaranteed. Final investment decisions should be made at your own judgment and responsibility.