AIGC Industry Development Research Report: AIGC Applications Will Experience Explosive Growth in 2024
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In 2023, the number of domestic large models surged rapidly, with incomplete statistics showing over 200 models. The large model field has entered its second phase, where application is king. 2024 may mark the first year of large-scale implementation of large models. It must be acknowledged that the rapid development of AI large models has successfully redefined what product innovation means. By 2024, the popularity of the AIGC field continues to grow, with new companies and models constantly emerging, and the so-called 'Hundred-Model Battle' remains fiercely contested.
With the continuous development of technologies such as deep learning and big data, AI has made significant progress in content generation. Through technologies like natural language processing and computer vision, AI can now generate high-quality content, including articles, videos, and images. The application scenarios of AIGC technology are expanding, covering fields such as news media, advertising, education, and entertainment. AI-generated content has become a crucial production factor for many industries, helping businesses improve efficiency and reduce costs.
AIGC Industry Development Research Report
The rapid development of the AIGC industry has raised higher requirements for data regulation. In the future, as technology continues to advance and application scenarios expand, relevant policies and standards will also be refined to better meet the needs of industry development. At the same time, companies need to strengthen their data management and governance capabilities to ensure data accuracy, security, and reliability.
Intel Corporation and global investment firm DigitalBridge announced the formation of Articul8, an independent company that provides enterprise clients with a full-stack, vertically optimized, and secure generative AI software platform. The platform's AI capabilities keep customer data, training, and inference within the enterprise's security boundaries.
Analysts believe that domestic large models will achieve breakthroughs in capabilities such as text-to-image and text-to-video, with AIGC applications set to explode in 2024.
A Galaxy Securities research report indicates that AIGC applications will experience significant growth in 2024. Currently, artificial intelligence remains in the early stages of industry development. Future breakthroughs in domestic large models for text-to-image and text-to-video capabilities are anticipated, with a focus on AIGC application sub-sectors. As AIGC applications accelerate, driving marginal improvements in industry financial metrics, 2024 may see the emergence of killer C-end applications. Attention should be paid to company fundamentals, as stock selection enters a phase of "separating the wheat from the chaff."
The 2024 AIGC Application Layer Top Ten Trends Whitepaper (referred to as the Whitepaper), jointly released by DingTalk and IDC, identifies key trends for 2024, including application-layer innovation, AI Agents, proprietary models, super entry points, multimodal integration, AI-native applications, AI tooling, and AI democratization.
Regarding super entry points, the Whitepaper suggests that AIGC will accelerate their formation. Ultra-simple natural language interactions will replace some traditional graphical interface interactions, and the "no App" concept will reshape the entry points and user landscape established during the mobile internet era. Application functions will be fragmented and integrated into super apps, allowing users to access and utilize various tools directly through conversation. IDC research shows that 97% of enterprises believe super entry points will become the mainstream application format in the future. Software companies will evolve into intelligent system operators, with extensive coordination among applications shaping a new ecosystem. Apps like DingTalk are poised to become super apps in the intelligent era.
With the advancement of AIGC technology, intelligent applications will grow exponentially. IDC predicts that by 2024, over 500 million new applications will emerge globally, equivalent to the total number of applications developed in the past 40 years.
<u>AIGC Market Size</u>
Currently, as the integration of the digital economy and the real economy deepens, and as internet platforms transition their digital scenarios toward the metaverse, the overall demand for the volume and diversity of digital content continues to rise. AIGC, as a new form of content production, has already achieved significant innovative developments in industries with high digitalization and substantial content needs, such as media, e-commerce, film, and entertainment, showcasing its market potential. Simultaneously, in the process of promoting digital-real integration and accelerating industrial upgrades, AIGC applications are rapidly developing across various sectors, including finance, healthcare, manufacturing, and industrial fields.
According to IDC, in 2022, the top five industries in China with the highest penetration of AI applications were the internet, finance, government, telecommunications, and manufacturing. Additionally, the value AI brings to autonomous driving, transportation, and logistics cannot be overlooked. McKinsey estimates that AI will generate 380 billion yuan in economic value for the transportation sector.
Data from the China Center for Information Industry Development (CCID) under the Ministry of Industry and Information Technology reveals that this year, China's generative AI market is expected to surpass 10 trillion yuan. Generative AI is accelerating its penetration into four major industries: manufacturing, retail, telecommunications, and healthcare.
Statistics show that this year, 368 new AI enterprises have been established in China, with the adoption rate of generative AI reaching 15% and the market size approximating 14.4 trillion yuan. The adoption rate of generative AI technology has seen rapid growth in the four major industries of manufacturing, retail, telecommunications, and healthcare.
Experts predict that by 2035, generative artificial intelligence is expected to contribute nearly 90 trillion yuan in economic value globally, with China surpassing 30 trillion yuan, accounting for over 40% of the total.
AIGC Industry Market Research
With the widespread application of AI technology, it has also raised some ethical and legal issues. For example, AI-generated content may involve copyright problems and privacy leaks. Therefore, the industry needs to strengthen self-discipline and regulations to ensure the reasonable application and development of the technology.
AIGC industry data policies mainly involve data collection, storage, usage, and protection. Since AIGC technology requires vast amounts of data to train models and improve the accuracy of generated content, data security and privacy protection have become critical issues in this sector. In summary, the AIGC industry is entering a period of rapid development, but it also faces many challenges. In the future, with continuous technological advancements and expanding application scenarios, the AIGC industry is expected to achieve greater breakthroughs and innovations.
Some countries have already begun formulating policies to regulate data usage and protection in the AIGC industry. For example, the EU's General Data Protection Regulation (GDPR) requires companies to obtain user consent for the collection, storage, and use of personal data and mandates security measures to prevent data leaks or misuse. Additionally, some states in the U.S. have enacted laws requiring companies to inform users about the purpose of data collection and usage and obtain explicit consent.
In addition to policies on data security and privacy protection, there are also policies addressing the ethical issues of AIGC technology. For example, some countries require researchers and engineers to adhere to ethical guidelines for artificial intelligence to ensure the reasonable and safe application of the technology. Furthermore, some institutions have established relevant regulations requiring companies to review and filter the content they generate to ensure its quality and compliance.
In the fierce market competition, 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 and demand situation of China's AIGC industry. It also analyzes the opportunities and challenges faced by the industry from the perspectives of policy environment, economic environment, social environment, and technological environment. Additionally, it 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.