In-depth Research on the AIGC Industry Market: Generative AI Market Expected to Reach $11.3 Billion by 2027
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Since the end of 2022, generative AI technology, represented by large models, has achieved significant breakthroughs and rapid development. Generative AI is a new type of artificial intelligence that generates original content by learning from large-scale datasets.
According to IDC's forecast data on China's generative AI network market size, as of this year, the scale of generative AI networks in data center networks is only about $2.8 billion. However, in the future, IDC predicts that by 2027, the expenditure on network equipment driven by generative AI is expected to grow significantly, accounting for nearly 40% of the entire market, reaching approximately $11.3 billion.
In-depth Research on the AIGC Industry Market
AIGC can automatically learn users' interests, preferences, and infer more accurate needs through historical browsing records, purchase information, and reviews, thereby providing more personalized services and significantly enhancing the shopping experience.
Currently, AIGC is offering increasingly strong support across various industries and will bring about significant changes. It has the potential to achieve and transcend integration across more fields, forming new application scenarios and solutions.
From the perspective of business optimization, digital technology empowering business can be summarized into five stages. These stages are progressive, gradually evolving, and comprehensively optimizing and empowering business. When planning products, these five stages can also serve as a reference to gradually advance and formulate the product's evolution path and strategy.
Industries with products or services primarily targeting the 2C (consumer) end, such as healthcare, education, and consumer goods/retail, focus more on digital practices in the "customer experience" domain. Industries with products or services mainly targeting the 2B (business) end, such as manufacturing, energy, chemicals, and construction/engineering, pay more attention to digital practices in the "digital operations and supply chain" domain.
Lu Yanxia, Research Director at IDC China, believes that generative AI can be applied to six horizontal scenarios: art design, digital employees, code generation, knowledge management, marketing, and customer service. For example, in art design, generative AI can assist designers in quickly generating creative works such as images, videos, and 3D models. In code generation, generative AI can be used to automatically generate code. Code completion tools can automatically generate code snippets based on context and syntax rules, improving developers' work efficiency.
However, while generative AI brings convenience, its application risks cannot be ignored. Zhou Zhengang, Vice President of IDC China, believes that generative AI applications mainly pose risks such as inaccurate generated content, personal information leakage, and social bias. "These risks can be addressed by strengthening IT and voice security, conducting compliance reviews during data preparation, performing security and compliance reviews on data labeling before model training, and conducting compliance reviews after content generation."
China Audio-Video and Digital Publishing Association Releases Group Standard "Guidelines for the Application of Generative AI Technology in the Publishing Industry"
On December 20, the China Audio-Video and Digital Publishing Association announced on its official website that the group standard 'Generative AI Technology Application Guidelines for Publishing Industry' has been approved for release after going through procedures including project review, standard drafting, public consultation, and expert panel review. The standard number is T/CADPA 47-2023, released on December 20, 2023, and will be implemented from January 20, 2024.
AIGC Becomes the New Favorite of Tech Giants
While the metaverse, as a carrier integrating the real and virtual worlds, remains promising in the long term, the development of the metaverse concept has seen VR/AR/XR technology products and business layouts become hot in specific sectors, serving as gateways for ordinary users to enter the metaverse. With the rise of ChatGPT this year, AIGC has become the new favorite of tech giants, igniting a new wave of artificial intelligence. Internet giants at home and abroad have shifted their focus to the AI track, with reports of multiple companies scaling back their metaverse businesses and laying off employees.
According to a report by Dappradar, the total financing for global metaverse projects in the first half of 2023 was approximately $707 million, compared to about $7.6 billion for the whole of 2022. The financing amount in the first half of this year was less than 10% of last year's total.
As a result, AIGC has become the new darling of capital. Following the lead of domestic tech giants, a large number of AI startups and projects have emerged, marking the official start of the 'Hundred Models Battle.'
In the fiercely competitive market, the ability of enterprises and investors to make timely and effective market decisions is the key to success. The AIGC industry report compiled by China Research Network provides a detailed analysis of the development status, competitive landscape, and market supply-demand dynamics of China's AIGC industry. It examines the opportunities and challenges faced by the industry from the perspectives of policy environment, economic conditions, social factors, and technological advancements. Additionally, the report reveals potential market demands and opportunities, offering accurate market intelligence and scientific decision-making support for strategic investors to choose the right investment timing and for corporate leadership to formulate strategic plans. It also holds significant reference value for government departments.