AIGC Industry Development Prospects Investment Report: Expected to Reach 720.2 Billion Yuan by 2028
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In 2023, the wave of generative artificial intelligence (AIGC) swept through the tech industry, with major overseas tech companies riding the AIGC wave and a 'hundred-model battle' emerging domestically. The financial sector, with its vast data and rich application scenarios, has become a key area for the implementation of large AI model technologies. Prioritizing and investing in AI has become a consensus in the financial industry. Currently, many banks and financial institutions are deploying generative AI to accelerate the exploration of application scenarios.
Zhipu's large model and AIGC digital content technology can generate multimodal content such as text, speech, images, and videos through AI. By intelligently upgrading content creation, it enhances video generation efficiency. While AI-driven virtual digital humans are advancing, products like Sora represent AI tools where the efficiency and quality of text-to-video generation are based on a deep understanding of the world. Successful practices in speech, motion, and video driving have been achieved, and future applications will further expand creative content production scenarios using AIGC technology.
AIGC, short for 'AI Generated Content,' refers to content automatically generated using AI technology, representing a new production method. The development speed of AIGC is astonishing, with exponential iteration rates, leading the trends of 'AI industrialization' and 'industrial AI-ization.'
AIGC Industry Development Prospects Investment Report
Large financial institutions, with their massive financial data and diverse application scenarios, are well-positioned to adopt leading foundational large models, build industry-specific or enterprise-level large models, and fine-tune them to create task-specific models for professional fields, thereby rapidly empowering their businesses. In contrast, smaller financial institutions, with relatively limited resources in data, computing power, and algorithms, may struggle to independently develop large models. They can opt to introduce various large model public cloud APIs or scenario-specific private deployment products as needed. The AIGC industry chain includes data, algorithms, platforms, and applications. In the data segment, large amounts of data need to be collected and processed for model training. In the algorithm segment, models must be continuously optimized and improved to enhance the quality and efficiency of generated content. In the platform segment, user-friendly and efficient AIGC tools and platforms must be provided. In the application segment, AIGC technology needs to be applied across various fields such as writing, composing, painting, and video production.
Data security and privacy protection are critical issues, requiring effective measures to safeguard user data. Additionally, the quality and authenticity of generated content are important concerns that need continuous improvement.
From an industry trend perspective, technologies like artificial intelligence and big data are being widely adopted globally, providing AIGC companies with vast development opportunities. Particularly, as technology advances and application scenarios expand, AIGC companies are expected to achieve sustained market growth in the coming years.
Moreover, AIGC companies hold advantages in technological innovation and market expansion. These companies typically possess strong R&D teams and advanced technical capabilities, enabling them to continuously launch new products and services to meet market demands. This innovation capability is a key driver for the growth of AIGC stocks.
AIGC Industry Investment Opportunities Infrastructure: The development of AIGC relies on robust infrastructure, such as basic computing power, GPUs, cloud computing platforms, and data centers. As AIGC applications become more widespread, the demand for infrastructure is rapidly increasing. Therefore, investing in companies or projects related to AIGC infrastructure, such as GPU manufacturers and cloud computing service providers, may have promising prospects.
Application Fields: AIGC has a wide range of applications, including e-commerce, education, entertainment, finance, and healthcare. In these fields, AIGC technology can significantly improve efficiency and reduce costs. Thus, investing in companies that successfully apply AIGC technology in these areas may yield good returns.
Models and Algorithms: The core of AIGC lies in its models and algorithms. With continuous technological advancements, new models and algorithms will emerge. Investing in companies with strengths in model and algorithm development may lead to higher returns.
Data: Data is the foundation of AIGC. Companies or projects with access to large amounts of high-quality data may have a competitive edge in the AIGC field. Therefore, investing in companies or projects with rich data resources could also be a viable option.
The rapid pace of technological development, intense market competition, and uncertainties in policies and regulations may all impact investments. Hence, investors need to carefully consider these factors, conduct thorough research and analysis, and mitigate investment risks when making decisions.
AIGC Industry Development Prospects Research The development of the AIGC industry is inseparable from technological progress and innovation. With the continuous advancement of technologies such as deep learning, natural language processing, and computer vision, the application scenarios of AIGC are also expanding. For example, AIGC applications like ChatGPT excel in semantic understanding, text creation, code writing, logical reasoning, and knowledge Q&A, providing users with a brand-new interactive experience.
The commercialization of AIGC is accelerating, with various fields actively exploring its applications. At the same time, investment in the AIGC sector is also increasing.
The AIGC market is growing rapidly. According to predictions by iResearch, China's AIGC industry scale was approximately 14.3 billion yuan in 2023 and is expected to reach 720.2 billion yuan by 2028, with the potential to exceed one trillion yuan by 2030. This indicates the enormous growth potential of the AIGC industry.
In a fiercely competitive market, the ability of enterprises and investors to make timely and effective market decisions is 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 also examines the opportunities and challenges faced by the industry from the perspectives of policy, economic, social, and technological environments. 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.