Double 11 Introduces AI Category for the First Time, These Products Become Best-Sellers, Multimodal AI Expected to Lead a Trillion-Dollar Market
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According to TechWeb on November 6, during Tmall's Double 11, Taobao has added a first-level category for AI services, initially covering tens of thousands of products, including AI image generation, AI painting, AI audio and video, AI voice packs, and around 20 other subcategories.
Previously popular AI-generated image platforms like Miaoya Camera, Beauty Camera, and Wink have also launched new AIGC products and participated in Double 11 promotions. On the first day of sales, transactions in this category exceeded 150,000 items.
AIGC holds significant advantages over traditional content creation in terms of speed, cost, and dissemination. CITIC Securities believes that from the initial "AI Sun Yanzi" to Miaoya Camera and the breakout success of Heygen, multimodal AI applications are flourishing, demonstrating the potential for blockbuster applications.
Huaxi Securities suggests that multimodal technology expands AI capabilities from text interaction to video generation, once again turning cutting-edge AI technology into real-world hits. This aligns with the popularity of user-generated content (UGC) on short-video platforms and lightweight content like micro-dramas. The firm is optimistic that AI technology will enable the creation of more high-quality content, replicating the revenue and profit growth curves of overseas AI platforms.
In terms of scale, according to Quantum Bit Think Tank, China's AIGC industry is in a period of exploration and growth from 2023 to 2025, with an expected annual compound growth rate of 25%. From 2026 to 2030, the industry is projected to enter a rapid growth phase, with China's market size potentially reaching 1.1491 trillion yuan by 2030.
Regarding companies, as disclosed on listed companies' interactive platforms:
- Chuling Information: The company's AI image generation tool for video operations can intelligently create posters by simply uploading clips and selecting templates, addressing pain points like long production times and high labor costs.
- Tom Cat: The domestic R&D team has developed AI products featuring contextual dialogue, English oral training, AI object recognition, and AI drawing.
With the growing demand for digital content, generative AI (AIGC) technology has been widely adopted this year, further integrating the digital economy with the real economy. AIGC has opened a new frontier in technological vision for humanity.
Today, everyone is talking about AIGC, and companies are increasingly recognizing the importance of data. Large models have driven exponential growth in computing power demand. Many tech firms are actively exploring and implementing ways to effectively utilize large models and apply AIGC technology in real-world industries.
Generative AI May Create Two Trillion-Dollar Markets
Since the beginning of this year, general AI represented by cognitive large models has sparked a global trend. International companies like OpenAI, Microsoft, and Google are doubling down, while China has seen a "thousand-model war" with numerous high-tech firms investing heavily in R&D. According to the "China AI Large Model Map Research Report" released by the Ministry of Science and Technology, China and the U.S. dominate the global large model landscape, accounting for over 80% of the total.
Meanwhile, large models are seen as a new engine for corporate transformation. A recent McKinsey report, "The Economic Potential of Generative AI: The Next Productivity Frontier," estimates 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 projection excludes some applications; if included, the economic impact could double.
According to the "2023-2028 China AIGC Industry Market In-Depth Research and Development Strategy Report" by China Research Institute:
Industry stakeholders widely believe that the generative AI market is poised for explosive growth on the demand side, potentially forming two trillion-dollar markets for both consumer (C-end) and business (B-end) applications. The demand for generative AI is surging, and general-purpose models will inevitably transform the traditional AI market, significantly boosting productivity and industry development.
Li Hui, Technical Director of 360's Smart Products Division, stated that the large model market is revolutionary and unprecedented, potentially ten times the incremental growth of the current internet, certainly reaching a trillion-dollar scale. With the development of 5G, mobile internet content has seen explosive growth. In the AI generation field, it will further accelerate this trend, inevitably creating new demand growth points for the market.
Zhang Lei, General Manager of Chery Auto Finance Technology Innovation Center, believes that there could be two trillion-dollar markets: one is the consumer-facing (To C) sector, which is already in a period of explosive growth, and the other is the business-to-business (To B) sector. These two fields differ entirely in terms of application scenarios, customer demands, and industry chain structures, but both are predicted to reach trillion-dollar scales in the future. With the rapid development of technology, artificial intelligence is gradually permeating every corner of life.
AIGC Industry Market In-depth Research
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 to the models, AI can now perform tasks in real-world scenarios.
This year, driven by the ChatGPT wave, industries across the board are actively exploring the possibilities of integrating AIGC technology. The financial sector, in particular, is continuously investigating how to leverage AIGC to meet personalized customer needs and innovate financial services.
According to the Artificial Intelligence Large Model Insurance Industry Application Evaluation Report recently released by Yuanbao Insurance and Molecular Lab, current large models are highly suitable for use as intelligent customer service robots. They can answer customer inquiries about insurance, healthcare, and other areas while also empowering insurance agents as a tool to enhance their service capabilities.
Given that the agent channel is still in a critical development phase, large models could help improve the average productivity of agents, reduce service costs for insurance institutions, and facilitate policy transactions.
The report systematically evaluated ten mainstream large models in the market, including ChatGPT3.5, ChatGPT4, Claude-1, Claude-2, Tsinghua Zhipu ChatGLM130B, Baidu ERNIE Bot, Alibaba Tongyi Qianwen, iFlytek Spark, 360 ZhiNao, and Kunlun WanTian.
AIGC represents a milestone for human society and artificial intelligence. In the short term, AIGC is transforming foundational productivity tools; in the medium term, it will alter societal production relations; and in the long term, it will drive qualitative breakthroughs in overall social productivity. In this transformation of productivity tools, production relations, and productivity, 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 of society to a certain extent.