In-Depth Research Report on Market Opportunities in the AIGC Industry
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AIGC is currently the hottest technological topic in the AI field, sparking a global trend. More and more enterprises are focusing on innovation and practical applications of AIGC-related technologies, actively exploring ways to implement them. Forecasts suggest that by 2030, the market size of AIGC could exceed one trillion yuan.
AIGC holds milestone significance for human society and artificial intelligence. In the short term, it transforms fundamental productivity tools; in the medium term, it alters societal production relations; and in the long term, it drives qualitative breakthroughs in overall social productivity. In this transformation of productivity tools, production relations, and productivity itself, the value of data as a production factor is greatly amplified.
Currently, against the backdrop of global economic digitization, the demand for digital content is surging. Industries urgently need to meet users' growing appetite for diverse content, necessitating innovative solutions to enhance production efficiency.
As a new content production model, AIGC offers diversity, strong controllability, and high efficiency, automatically generating a wide range of content—including articles, images, audio, and videos—based on user needs. This automated content generation not only responds swiftly to market demands and creates richer, more engaging user experiences but also provides businesses with new opportunities to optimize workflows, upgrade customer service, and improve office efficiency.
AIGC elevates data as a core resource of the era, accelerating the digital transformation of society to some extent.
Zhou Xiaoling, Vice President of Beijing Jiu Zhang Yun Ji Technology Co., Ltd., stated, 'Currently, various industries have accumulated vast amounts of data. How to utilize this data efficiently is a challenge that big data and artificial intelligence must address in the next phase.'
From real-time translation in voice chats to digital avatars in live streams, from climate monitoring to smart hardware for tutoring, the applications of AI technology showcased at the 2023 China International Fair for Trade in Services (September 2–6) span across industries, reflecting a new era of digitization and intelligence.
At the iFlytek Medical booth, a virtual doctor conducts dialogue-based interviews. Clad in a 'white coat,' the virtual doctor not only boasts a lifelike appearance but also engages in personalized, friendly conversations using medical large models and other technologies. These interactions alleviate patients' psychological stress, simulate clinical assessments, and enable intelligent quantitative evaluations of conditions like depression.
This year, amid the ChatGPT boom, industries are actively exploring the potential of integrating AIGC technology. The financial sector, for instance, is leveraging AIGC to meet personalized customer needs and innovate financial services.
Seizing the historic opportunity presented by AIGC, Wanxing Technology is intensifying its efforts through organizational upgrades, business and technical framework enhancements, and rapid product deployment. The company plans to collaborate on building an innovation system for industry-academia-research-application alliances in key areas like AIGC, Web3.0, and the metaverse, fostering comprehensive cooperation in talent, technology, and application outcomes.
With the rapid development of deep neural networks, the scale and capabilities of AI models are continually expanding. Driven by the explosive growth of data, computing power, and iterative algorithm models, digital content creation has reached new heights—scaling up to rival or surpass the number of neurons in the human brain while demonstrating robust multimodal understanding and generation capabilities.
Thus, in highly digitized industries with rich content demands—such as media, marketing, advertising, gaming, healthcare, finance, office work, and entertainment—AIGC is poised to achieve significant breakthroughs. Media can use AIGC to expand the scope and depth of news coverage; e-commerce can generate product descriptions and promotional content; entertainment can offer more personalized and interactive experiences.
Looking ahead, as AIGC technology advances, it will become more widespread and mature, enabling deeper innovation and refinement. It will spawn richer application scenarios, continuously empowering industries, improving quality of life, and boosting work efficiency.
With supportive national policies and advancements in foundational technologies like 5G, China's AI industry, driven by collective efforts, is entering a phase of explosive growth with immense market potential.
According to data from the foreign venture capital analysis company PitchBook, in the first half of 2023, there were 1,387 financing deals in the global artificial intelligence sector, raising a total of $25.5 billion, with an average financing amount of $26.05 million.
The global AI industry is projected to reach $150 billion by 2030, with a compound annual growth rate (CAGR) of approximately 40% in the coming years. Currently, the number of AI companies worldwide is growing rapidly. In 2022, the global AI market size was estimated at $19.78 billion and is expected to reach $159.103 billion by 2030, with a CAGR of 38.1% from 2022 to 2030.
AIGC Industry Market Opportunity Analysis
From the perspective of the AIGC industry's development background, the rise of AIGC stems from the rapid breakthroughs in deep learning technology and the increasing demand for digital content supply. On one hand, technological advancements have driven the continuous improvement of AIGC usability. In the early stages of AI development, although some preliminary attempts were made in AIGC, due to various limitations, related algorithms were mostly based on predefined rules or templates, far from achieving the level of intelligent content creation. In recent years, AIGC technology based on deep learning algorithms has rapidly evolved, breaking through the previous limitations of templated, formulaic, and small-scale approaches, enabling the rapid and flexible generation of multimodal data content. On the other hand, massive demand is driving the practical application of AIGC.
Terms such as "data" and "security" frequently appear in the "Measures." At the same time, the "Measures" clarify requirements for training data processing activities and data labeling. Providers of generative AI services should take effective measures to prevent underage users from becoming overly dependent or addicted to generative AI services and should label generated content. Additionally, the "Measures" establish systems for security assessments, algorithm filings, complaints, and reports, and define legal responsibilities.
Current policies continue to strengthen support for the AI sector, aiding in the construction of a nationally integrated big data center system that coordinates computing power, algorithms, data, and application resources. China's AI industry is highly valued by governments at all levels and receives strong support from national industrial policies. The government has introduced multiple policies to encourage the development and innovation of the AI industry.
As the integration of the digital economy and the real economy deepens, and as platform giants like Meta, Microsoft, and ByteDance transition their digital scenarios to the metaverse, the overall demand for the volume and diversity of digital content continues to rise. The production of digital content depends on imagination, manufacturing capabilities, and knowledge levels. Traditional content production methods, limited by human manufacturing capacity, are increasingly unable to meet consumer demand for digital content, highlighting supply-side bottlenecks. For these reasons, AIGC is being increasingly applied across various industries, and its market potential is gradually becoming evident.