Semiconductor Startups Overtake AI Firms in Median Valuation Rankings

Semiconductor startups are attracting higher valuations than artificial intelligence companies, as growing demand for advanced computer chips and digital infrastructure continues to create new investment opportunities across the global technology industry.

A new study by BestBrokers revealed that semiconductor startups that achieved unicorn status in 2026 recorded a median valuation of $2.5bn, the highest among 12 industries examined.

A unicorn is a privately owned startup valued at $1bn or more, reflecting the level of confidence investors have in its business prospects and growth potential.

According to the research, only 16 semiconductor companies were among the 256 startups that attained unicorn status during the period.

The semiconductor industry plays a critical role in modern technology because its products are used to manufacture electronic chips that control the flow of electricity in devices such as smartphones, computers, vehicles and data centre equipment.

Although semiconductor startups recorded the highest median valuation, artificial intelligence companies produced the largest number of new unicorns, with 63 firms crossing the $1bn threshold.

AI startups recorded a median valuation of $1.5bn, which was $1bn below the figure achieved by semiconductor companies.

Cryptocurrency and blockchain businesses ranked second, with a median valuation of $1.95bn, while robotics companies followed with $1.45bn.

The findings indicate that investment opportunities arising from the artificial intelligence revolution are extending beyond companies developing AI models and applications to businesses producing the chips, networking equipment and computing infrastructure required to operate advanced AI systems.

Despite having a lower median valuation, AI startups accounted for a significant proportion of the combined value of newly established unicorns.

The report found that the 63 AI companies were collectively valued at $236.1bn, representing approximately 42 per cent of the total valuation of all startups that achieved unicorn status in 2026.

Chinese artificial intelligence company DeepSeek emerged as the most valuable newly established unicorn, accounting for $91bn of the combined valuation.

Meanwhile, semiconductor companies maintained their position at the top of the valuation rankings despite having fewer new unicorns.

Optical networking startup Lumilens led the sector with a valuation of $5.5bn, while chipmaking equipment manufacturer Source Foundry and AI inference chipmaker Positron followed with valuations of $5bn each.

The report attributed the growing valuations to increasing demand for advanced computing components as technology companies expand their artificial intelligence operations.

According to figures from the Semiconductor Industry Association cited in the research, global semiconductor sales reached $517.7bn in the third quarter of 2026, representing a 24.1 per cent increase from the preceding quarter.

However, the rapid expansion of artificial intelligence infrastructure is creating fresh challenges for the global technology industry.

The study identified shortages of advanced computer chips, limited capacity to transfer data between processors and increasing electricity requirements for data centres as major obstacles to the expansion of AI infrastructure.

Financial analyst at BestBrokers, Stanislava Savisheva, said artificial intelligence remained the biggest contributor to the emergence of new billion-dollar private companies, but semiconductor businesses were benefiting significantly from the infrastructure requirements of the technology.

She explained that although AI companies were attracting substantial investment, their operations depended heavily on the availability of advanced computer chips.

Savisheva noted that the increasing demand for computing power was strengthening the investment prospects of semiconductor manufacturers and other businesses involved in supplying essential technology components.

She added that the relationship between AI developers and semiconductor manufacturers was becoming increasingly important as the industry faced limitations in chip availability, data transmission capacity and electricity supply.

Beyond semiconductors and artificial intelligence, cryptocurrency and blockchain startups recorded the second-highest median valuation of $1.95bn, although only five companies in the sector achieved unicorn status.

Three of the companies, Digital Asset, TRM Labs and Rain, recorded valuations ranging between $1.95bn and $2bn.

Robotics ranked fourth, with a median valuation of $1.45bn across 30 newly established unicorns.

The companies had a combined valuation of $58.9bn, making the sector the second-largest in aggregate value among the industries examined.

China accounted for 18 of the new robotics unicorns, with XPENG Robotics emerging as the leading company at a valuation of $6.3bn.

Defence technology ranked fifth, recording a median valuation of $1.3bn across 16 new unicorns.

Germany’s STARK, valued at $4bn, and United States-based Mach Industries, valued at $3.7bn, were the most valuable new entrants in the sector.

Fintech followed with a median valuation of $1.25bn, led by insurance startup Corgi, which was valued at $4bn.

Cybersecurity recorded a median valuation of $1.2bn, while energy and climate technology, alongside cloud and infrastructure businesses, each recorded $1.15bn.

Enterprise software and aerospace and space technology followed with median valuations of $1.1bn each, while health technology and biotechnology ranked lowest at $1bn.

The health and biotechnology sector recorded 21 new unicorns, with 11 companies valued at the minimum $1bn threshold.

Meanwhile, the growing competition for semiconductor components is beginning to affect manufacturers of consumer electronics, particularly smartphone and computer producers.

Increased demand for high-bandwidth memory used in artificial intelligence data centres has placed additional pressure on the supply of conventional memory chips required for everyday electronic devices.

The development has pushed up component costs, forcing manufacturers to reconsider their production plans, pricing strategies and supply arrangements.

International Data Corporation (IDC) warned that the shift towards producing memory components for AI infrastructure could further restrict supplies available to consumer electronics manufacturers.

Similarly, Counterpoint Research projected a decline in global smartphone shipments in 2026, as manufacturers contend with increasing memory costs.

The developments demonstrate how the rapid growth of artificial intelligence is reshaping the global technology market, creating substantial investment opportunities for semiconductor manufacturers while increasing competition for essential computing components.

Although AI companies continue to lead in the number of newly established billion-dollar startups, semiconductor businesses are increasingly benefiting from the enormous infrastructure required to sustain the technology’s expansion.

The growing demand for chips, networking equipment and data centre infrastructure could further strengthen the semiconductor industry, while potentially increasing production costs for smartphones, computers and other consumer electronic devices.

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