The list of China AIGC’s most noteworthy companies & products has been announced! The first application panorama map released

Latest update time：2024-04-17

Reads：

Organizing Committee Posted by Ao Fei Si
Qubit | Public account QbitAI

" Hello, new app! "

Standing on the first year of the launch of large-scale models, it is time to shout this sentence.

From software APPs, smart terminals to embodied intelligence, etc., AIGC has begun to sweep everything.

Large model players, Internet giants, terminal manufacturers, and vertical scene players have entered the market one after another, and the office, creation, marketing, education, and medical fields have been penetrated one after another... A trillion-dollar market is brewing.

Standing at the starting point of the wave, what is the current development? Where are the opportunities? How's the challenge?

At the China AIGC Industry Summit held by Qubit, an industry reference was officially released - the "China AIGC Application Panoramic Report".

It draws a comprehensive three-dimensional application panorama for the current AIGC application market. Core ideas include:

China's AIGC application market size will reach 20 billion this year and reach trillions in 2030 ;
80% of B-side products achieve revenue, and nearly 50% of C-side products are mainly free;
The proportion of AI native applications is higher than that of X+AI, accounting for nearly 57%;
Multimodality is a major trend, with application products accounting for nearly 50%;
Matching scenarios and technology is the primary factor in product implementation, and technology maturity determines the speed of implementation;
AIGC industrial investment resources are concentrated at the top, and potential capital is focused on the application layer.
…

Also unveiled is the AIGC Enterprise & Product List Worth Watching in 2024 . They provide an objective perspective for understanding the current Chinese AIGC application market.

Let’s look at the specific details.

What is the current situation?

Current status of venture capital: resources are concentrated at the top

Let’s first look at the investment and financing situation.

Last year, there were at least 5 representative financing events in the domestic AIGC circle. Among them, Zhipu AI received a total of more than 2.5 billion yuan in financing in one year with Zhipu Qingyan, and the Kimi intelligent assistant of Dark Side of the Moon was in the Series A round. alone attracted more than $1 billion.

It can be said that the cycle to become a unicorn is getting shorter and shorter.

Overall, AIGC industry investment is showing a directional shift: the snowball effect of investment and financing at the model layer is obvious , resources are gathering at the top, and potential capital is focused on the application layer.

Qubit Think Tank predicts that China's AI capital market will further converge towards the top in 2024; at the same time, we believe that more AICG projects that can be implemented in the future will gain opportunities.

Business model: B-side monetization is clear, 80% achieved revenue

In terms of implementation, among the existing business models, C-side AIGC applications account for 50% .

Among them, B-side products are evenly distributed from general scenarios to vertical tracks. The revenue model is mainly membership subscription and on-demand payment. The business model is relatively clear . Although (pure B-side) accounts for only 31%, more than 80% of the products All achieved revenue.

The C-side products are mainly smart assistants and image generation productivity tools. Although there are a large number of users (pure C-side accounts for more than 50%) , the profitability is generally not optimistic. Nearly 50% of the products currently have no clear definition. The income model is mainly free.

According to the analysis of Qubit Think Tank, this is mainly because the needs of C-end users are not clear, and demand is often stimulated by supply. The experience requirements of the product itself are relatively high, and "ease of use" is emphasized.

The following is the complete business model map:

Application type: AI native > X+AI

AIGC application products can be divided into two types according to AI application type: AI native and X+AI. The former accounts for nearly 57%, which is larger than the latter.

The so-called AI-native and easy-to-understand means that it is completely based on generative AI technology; X+AI is commonly understood as adding generative AI-related technologies to products that originally do not contain AI.

If divided by large model application types, AIGC application products include three categories based on self-developed basic large models, self-built vertical large models and API access.

As shown in the figure below, you can see that products based on self-built vertical large models dominate the entire application layer.

These companies use their data accumulation and technical capabilities to take the lead in finding the direction of AIGC.

Looking at the cross-section, AI native products are mainly self-built and self-developed large models; X+AI products are based on self-built vertical large models and feature API access .

Technology popularity: Multimodality is the trend, currently accounting for 48%

The popularity of technology determines the maturity of the application to a certain extent.

Among the modalities currently generated by AIGC applications, more than 44% focus on text generation, which is the most popular; image generation accounts for about 29%, followed by image generation.

The proportion of audio generation is 6% higher than that of Sora's popular video generation. In the past month, the birth of two music generators, Suno and Udio, has indeed allowed us to see the huge potential of AI audio (music) generation.

Finally, 3D generation is still a niche mode, accounting for less than 3% of the product market.

As an inevitable trend, multi-modality (products that can identify and understand data from two or more modalities) currently accounts for 48%, and there is still much room for growth in the future.

If we look at product presentation capabilities and compare them to the eight basic human capabilities, the current popularity of AIGC products’ capabilities is as follows:

"Reading and writing" are the most popular, "seeing, drawing, listening, and speaking" are developing rapidly, and "thinking and moving" are the future directions.

What is the player/product distribution?

Back to the present, AIGC applications have seven major tracks worthy of attention.

According to technology maturity, it can be divided into two categories:

AIGC applications are relatively mature, with clear business models and good revenue: marketing, retail, education, film and television, and office collaboration.
The technology is not mature yet, but has great potential: gaming, medical care.

Divided by product form, currently 90%+ AI applications are in software form, and AI hardware is beginning to emerge in endlessly, but the "iPhone moment" has not yet arrived.

Among the representative categories of AI hardware, "AI + everything" includes AI mobile phones, AI PCs, etc.; new AI species include AI Pin, Rabbit R1, etc.

According to function attributes and software and hardware forms, manufacturers and representative products are divided as follows. Products with productivity attributes account for more than 95% .

In terms of player distribution, according to company type, it can currently be divided into four categories:

Internet company
AI2.0 company
AI1.0 company
ICT company

The representative player graph, application types, and revenue are as follows:

Among them, commercial revenue represents the speed of realization of the company's products.

From a regional perspective, Beijing, Shanghai, Hangzhou, and Shenzhen produce the most AIGC application products.

The geographical distribution map of AIGC application products across the country is as follows. Beijing is dominated by Internet companies and AI2.0 companies, representing the most players.

What are the opportunities?

For AIGC application development, the Qubit Think Tank divides the commercialization process into three stages.

The first phase (2024-2027) : product launch
The second stage (2028-2029) : The business model develops maturely
The third stage (after 2030) : large-scale profitability

Within three years, the player landscape at the model layer has been basically settled , and “AI native” products at the application layer have begun to experience explosive growth. The business model of the B-end market is clear, and the C-end market has shifted from customer acquisition first to profit first .

Starting in 2028, as video generation and multi-modal technology matures, it will further assist the realization of AGI. The C-end business model is mature, head products will appear in companies with the ability to self-develop large models, and competition for waist products is fierce.

After 2030, it will officially enter the AGI stage. AIGC products will simultaneously possess the eight abilities of "listening, speaking, reading, writing, watching pictures, and moving", which can better simulate humans. The application-level head products touch multiple industry scenarios, while the waist products focus on vertical industries.

In terms of market size, China's AIGC application market size will reach 20 billion in 2024 .

It is expected that by 2026, the scale of China's AI market will reach 100 billion.

By 2030, China's AIGC application will become a trillion-scale market, with an average compound growth rate of more than 30% in five years (2024-2028) .

Finally, the China AIGC Application Panorama 1.0 is attached .

(How to obtain the complete report is attached at the end of the article)

Who deserves attention in 2024?

Who will create such trends and future?

In the first year of the launch of AI applications, a reference answer was newly released - the results of " AIGC Companies & Products Worth Watching in 2024 " were announced.

There are 50 AIGC companies and 40 AIGC products selected respectively. The complete list is as follows.

We hope that this list can provide an objective perspective for understanding China’s AIGC application trends, and also hope that it can become a new footnote in the AIGC revolution.