36Kr Research Institute | Report on the Development Trends of China's AI in the Cultural and Tourism Industry in 2025 Driven by the New Supply-Demand Relationship
Currently, China's cultural and tourism industry is undergoing a profound transformation driven by both the reconstruction of AI technology and consumption upgrading. According to data from the National Bureau of Statistics, in the first half of 2025, domestic residents' total travel expenditure reached 3.15 trillion yuan, a year-on-year increase of 15.2%. The number of tourist trips reached 3.285 billion, a year-on-year increase of 20.6%. With the strong recovery of residents' travel willingness and the change of consumption concepts, travel is no longer just a simple spatial movement and scenic spot check-in, but has increasingly become an important carrier for people to pursue emotional resonance, cultural identity and self-growth. People pay more attention to the depth, personalization and spiritual gain of travel experiences, which poses a huge challenge to the traditional cultural and tourism model centered on resources and standardized supply. Therefore, how to solve the long - standing dilemma of "mismatch between supply and demand" and achieve systematic industrial upgrading has become an important proposition related to the high - quality development of the cultural and tourism industry. Against this background, En Aowa, a professional capability platform focusing on tourism scenarios under CIMC Group, proposes a new paradigm of "synchronous intelligence of supply and demand", driving the collaborative evolution of the demand side and the supply side with AI, and kicking off a truly "understanding you" journey.
Consumer demand is shifting from cost - performance to "emotional - value ratio"
In the past, tourists' trips were mostly guided by cost - performance, and they measured the value of travel by "worth or not". The standards were concentrated on the external and quantifiable "more" and "less" - whether the scenic spots were dense, whether the photos were good - looking, and whether the price was affordable. At this stage, self - discovery was more about understanding the world through iconic landscapes and confirming one's own existence through the external splendor.
Now, consumer demand is shifting from "cost - performance" to "emotional - value ratio". The measurement standard has changed to the internal and experiential "depth" and "authenticity" - whether the experience is unique, whether the emotions are touched, and whether there are stories worth long - term recollection. Travel is no longer a simple itinerary consumption, but a self - investment in emotional cultivation and spiritual growth. Tourists are no longer satisfied with "I've been there", but pursue a deep connection of "I experience, I feel, I grow". And the "emotional - value ratio" is the core indicator to measure the return on this spiritual investment. This puts forward higher requirements for merchants: they must shift from providing standardized products to creating personalized and in - depth experiences that can touch people's hearts.
En Aowa's pioneered "synchronous intelligence of supply and demand" model becomes the core concept to solve the main pain points of the cultural and tourism industry
One of the root causes of the pain points in the cultural and tourism industry is that the traditional demand analysis model often starts from the supply side, that is, the model from supply to demand, while ignoring the dynamic and personalized characteristics of tourists' needs, which ultimately leads to the situation of "mismatch between supply and demand". The "synchronous intelligence of supply and demand" model pioneered by En Aowa starts from the demand side and uses intelligent technology to achieve the collaborative evolution of the demand side and the supply side, constructing a closed - loop system of accurate demand perception and intelligent supply response. Its essence is to take artificial intelligence technologies such as large models as the core driving force to achieve two - way collaboration, dynamic matching and iterative optimization of accurate insight on the demand side and flexible response on the supply side. The implementation of the "synchronous intelligence of supply and demand" model depends on technology service providers with the capabilities of data integration and analysis, intelligent decision - making support, and cross - subject ecological collaboration.
AI technology is leaving the stage of fragmented and independent applications and accelerating the evolution towards an ecological platform - type system
Currently, AI technology is gradually breaking through the primary stage of single - scenario and isolated applications in the cultural and tourism industry and accelerating the evolution towards platformization and ecologicalization. By constructing a data - driven, open and collaborative AI cultural and tourism platform, it can effectively integrate multi - dimensional data such as government macro - data, merchants' business data, and tourists' behavior data, promoting the efficiency improvement and experience upgrade of the entire industrial chain. En Aowa, based on this trend, constructs a trinity architecture of "platform + product + ecosystem", with the technology platform as the foundation, scenario products as the carrier, and an open ecosystem as the extension. It aggregates the atomic capabilities of AI, transforms technical modules into resources that can be flexibly called, and shares, co - builds and co - uses them with ecological partners in the cultural and tourism industry, effectively breaking through technical barriers and data islands and promoting the intelligent collaborative development of the entire industry. For example, the Beihai Weizhou Island project is the first complete cultural and tourism ecological platform case created by En Aowa and a typical practice of government - enterprise collaboration. Centered on data connection at the technical level, service innovation at the scenario level, and cross - border linkage at the ecological level, it constructs an operation model led by the government, implemented by enterprises, and participated in by the ecosystem, becoming a replicable sample for the regional promotion of "synchronous intelligence of supply and demand".
The key research questions in this report are as follows:
- What are the core pain points currently faced by the cultural and tourism industry? What are the deep - seated reasons behind the "mismatch between supply and demand" phenomenon?
- What is the concept of "synchronous intelligence of supply and demand"? How does the "synchronous intelligence of supply and demand" model systematically solve the industrial pain points and achieve dynamic balance between supply and demand?
- How does AI empower tourists' experiences, merchants' operations and industrial governance in the cultural and tourism industry? What are the core values and application scenarios?
- How does a platform represented by "En Aowa" achieve "synchronous intelligence of supply and demand" through an ecological strategy? What are its typical practices and achievements?
- What technological trends and industrial changes will occur in the future AI - enabled cultural and tourism industry? How can it evolve from "tool application" to "intelligent symbiosis"?
- What policy and institutional support systems need to be constructed to promote the standardized and inclusive development of the AI - enabled cultural and tourism industry?
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