Generative AI May Form Two Trillion-Dollar Markets: In-Depth Research on the AIGC Industry
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With the growing demand for digital content, generative artificial intelligence (AIGC) technology has been widely implemented this year, further integrating the digital economy with the real economy. AIGC has opened a new frontier in human technological vision. Today, everyone is talking about AIGC, and businesses are increasingly recognizing the importance of data. Large models have driven an exponential increase in computing power demand. Many tech companies are actively exploring and practicing how to effectively utilize large models and apply AIGC technology to real-world industries.
Generative AI May Form Two Trillion-Dollar Markets
Since the beginning of this year, general artificial intelligence, represented by cognitive large models, has sparked a global trend. International companies like OpenAI, Microsoft, and Google have been increasing their investments, while domestically, a "thousand-model battle" has emerged, with numerous high-tech companies competing in research and development. According to the "China Artificial Intelligence Large Model Map Research Report" released by the Ministry of Science and Technology, China and the U.S. lead significantly in the number of large models released globally, accounting for over 80% of the total.
At the same time, large models are seen as a new engine for corporate transformation. Recently, McKinsey's report, "The Economic Potential of Generative AI: The Next Productivity Frontier," indicated that applying the 63 analyzed generative AI use cases across industries could add $2.6 trillion to $4.4 trillion annually to the global economy. This estimate does not include all generative AI applications; if unstudied applications are factored in, the economic impact of generative AI could double.
Specifically, industry players generally believe that the demand-side generative AI market is on the verge of an explosion, potentially forming two trillion-dollar markets in the C-end and B-end sectors. The demand for generative AI is growing rapidly among enterprises, and general-purpose models will inevitably transform the traditional AI market, while productivity improvements will significantly boost industrial development.
Li Hui, Technical Director of 360's Intelligent Products Division, stated that the large model market is unprecedented and revolutionary, with a potential tenfold increase over the current internet growth, certainly reaching trillion-dollar levels. With the development of 5G, mobile internet ecosystems have seen explosive growth. In the field of AI generation, it will further accelerate this explosion, inevitably creating new demand growth points in the market.
Zhang Lei, General Manager of Chery Auto's Technology Innovation Center, believes that two trillion-dollar markets could emerge: one in the C-end consumer sector, which is already in a period of rapid growth, and another in the B-end sector. These two sectors differ entirely in application scenarios, customer needs, and industry chain structures, but both are predicted to reach trillion-dollar scales in the future.
With the rapid advancement of technology, artificial intelligence is gradually permeating every corner of life.
In-Depth Research on the AIGC Industry Market
From the progression of computational intelligence to perceptual intelligence and then to cognitive intelligence, AIGC has opened the door to cognitive intelligence for human society. Through training on large-scale datasets, AI has acquired knowledge across multiple domains. With appropriate adjustments, these models can perform tasks in real-world scenarios.
This year, driven by the ChatGPT wave, industries have been actively exploring the possibilities of integrating AIGC technology. The financial sector, for instance, is continuously investigating how to use AIGC to meet personalized customer needs and innovate financial services.
According to a recent "Evaluation Report on the Application of Large AI Models in the Insurance Industry" jointly released by Yuanbao Insurance and Molecular Labs, current large models are highly suitable for serving customers as intelligent robots, answering inquiries about insurance and healthcare, and empowering insurance agents as a tool to enhance their service capabilities. Therefore, while the agent channel remains challenging, large models may help improve agent productivity, reduce service costs for insurers, and facilitate policy transactions.
The report systematically evaluated ten mainstream large models in the market, including ChatGPT3.5, ChatGPT4, Claude-1, Claude-2, Tsinghua's ChatGLM130B, Baidu's ERNIE Bot, Alibaba's Tongyi Qianwen, iFlytek's Spark, 360's Brain, and Kunlun Wanwei's Tian Gong.
AIGC holds milestone significance for human society and artificial intelligence. In the short term, it transforms fundamental productivity tools; in the medium term, it reshapes social production relations; and in the long term, it drives qualitative breakthroughs in overall societal productivity. Within this transformation of productivity tools, production relations, and productivity itself, the value of data as a production factor is greatly amplified.
AIGC elevates data as a core resource of the era, accelerating the digital transformation process of society to a certain extent.