According to industry analysts, China’s crowded generative AI market, with over 100 companies competing, is heading toward a significant shakeout. As the market grows more competitive and costly, companies are expected to shift their focus from basic research to practical, revenue-generating applications. Analysts suggest this pivot will help Chinese firms distinguish themselves from their American counterparts.
Pressure mounts for profitability over research
China’s generative AI industry, heavily centred on large language models (LLMs), has seen rapid expansion but now faces the challenge of saturation. Su Lian Jye, chief analyst at research firm Omdia, spoke at a recent conference about the increasing debates over whether the market can sustain so many players. “We’ve observed concerns this year about market saturation due to the presence of so many similar models,” Su explained.
Developing advanced AI models demands enormous resources, particularly in computing power. Building these models requires vast numbers of graphics processing units (GPUs), making AI development prohibitively expensive. This financial hurdle, Su noted, raises the barrier for companies trying to compete, inevitably pushing smaller players out of the market. “Only a limited number of companies will be able to sustain this costly pursuit,” he added, hinting at a future where only the most prominent players remain.
As a result, China’s AI start-ups are expected to shift their priorities. Instead of dedicating extensive resources to fundamental research, many companies will likely concentrate on creating products that can generate revenue more immediately. By focusing on commercial applications, these firms may carve out a more defined role in the global AI landscape, distinguishing themselves from their US counterparts, who often invest more in foundational research.
A divided ecosystem emerges amid tech restrictions
The ongoing US-China technology rivalry, especially in areas like semiconductor chips and AI, is driving a growing division in the global tech ecosystem. According to Wang Shen, principal analyst for data centres at Omdia, this split will result in two largely independent tech ecosystems: one primarily serving Chinese customers and the other catering to US and international markets. “The two countries will end up with separate ecosystems, each with its supply chains and industries,” Wang explained.
However, Wang sees this development as less of a setback and more as an opportunity for Chinese companies. With a digital market of 1.4 billion people, China has the consumer base to support its domestic AI industry. Wang pointed out that China’s vast, tech-savvy population could sustain numerous companies even as the market consolidates. This immense digital landscape provides a valuable competitive advantage that helps mitigate the effects of technology restrictions imposed by the US.
In response to these restrictions, more than a dozen Chinese AI and GPU companies have emerged to address the country’s surging demand for computing power. This demand has only grown stronger as restrictions from the US limit Chinese companies’ access to certain high-end GPUs, particularly from market leader Nvidia. Despite these constraints, a robust domestic market allows Chinese firms to focus on local demand, further fuelling the sector’s resilience.
The domestic chip market also faces consolidation
Even with the emergence of local AI and chip start-ups, the market remains crowded and could soon see a similar wave of consolidation. According to Su, homogeneity in the AI chip industry could lead to an adjustment period where the market no longer needs such a wide array of vendors. While Nvidia remains the dominant force in the US and globally, China’s domestic chip start-ups face a challenging path forward, partly due to their products’ similarities.
The recent collapse of GPU start-up Xiangdixian Computing Technology highlights domestic firms’ difficulties in this competitive environment. The Chongqing-based company shut down in September, laying off all employees due to a lack of funding. Xiangdixian’s closure underscores the financial pressures confronting China’s tech start-ups, even as the country pushes for greater self-sufficiency in key technological areas.
Despite this, China’s extensive data centre infrastructure provides a foundation for growth in its AI industry. As local chip companies benefit from the country’s investment in data centres, analysts remain hopeful that the sector will mature and consolidate, leaving a smaller but potentially more resilient group of players.
