Summary of the Core Content
This article discusses the contradictions in China's meteorological economy: despite being a major meteorological country with diverse needs and frequent disasters, China is actually a "minor consumer nation" in the field of meteorological services. There is a shortage of specialized, personalized meteorological services, making it difficult for most companies to profit, resulting in a significant mismatch between supply and demand. A few bloggers and companies have succeeded by focusing on niche markets (due to the survivor bias), but the majority are struggling to survive. The root causes lie in the lack of user payment habits and the limited openness of the market. Compared to the mature models in Europe and America, AI could be a breakthrough, but fundamental reforms of the meteorological market are necessary.
Detailed Analysis
1. Why is China a "Minor Consumer Nation" Despite High Demand?
People's demand for meteorological services is becoming more specific: they want forecasts that account for factors like sudden rain while camping, potential flash floods when hiking, wind conditions for renewable energy generation, and temperature and humidity for pest control in agriculture. However, the general weather forecasts available on mobile phones (e.g., "It will rain today") only meet basic needs and cannot support more precise decision-making.
With a population of 1.4 billion and a wide range of climates (from cold zones to tropical regions, including typhoons, cold waves, and sandstorms), China should be a major meteorological country. However, the reality is stark: out of 16,000 related companies, only about 3,000 are operating normally, and less than 40 are sizable; 80% of them are not financially stable. Despite high demand, the industry cannot sustain its companies.
2. A Few Profit Well, While Most Struggle to Survive – Survivor Bias
You may have seen bloggers on platforms like Bilibili or REDnote who make money by tracking typhoons and providing professional weather information for travel recommendations, attracting hundreds of paying users. These are the "survivors," but most companies are not so lucky:
- Moji Weather: Had 700 million users but failed two IPO attempts because 95% of its revenue came from advertising, not user payments.
- He Riti Tian Guan: Received $6 million in funding but was flagged for operational issues.
- A certain radar company has advanced technology (can scan the weather in one minute) but relies on a single state-owned customer for 80% of its revenue, making it vulnerable to any changes in that customer's situation.
The industry is full of companies that seem successful on paper but are actually struggling financially.
3. Two Major Barriers to Profitability in the Meteorological Business
The main challenges are:
1. Lack of Payment Habits: People assume weather information should be free, making it difficult for companies to generate revenue.
2. Limited Market Openness: State-owned meteorological units dominate the market, holding access to key data and allowing them to conduct business within their systems. Private companies must cooperate with these entities, incurring additional costs. For example, a radar company's 80% of revenue comes from one state-owned customer, putting it at risk.
These barriers make it difficult for private companies to thrive in the meteorological industry.
4. Why Is the Meteorological Economy More Successful in Europe and America?
The European and American models are worth learning from:
- Governments provide basic weather services, while private companies can access data at low costs to develop commercial products.
- At the corporate level, The Weather Company in the U.S. operates 250,000 weather stations and serves 5,000 companies; WNI in Japan provides meteorological services for 6,000 ships and 7,000 flights.
- At the individual level, weather apps in the U.S. generate nearly $100 million in membership fees due to the need for disaster prevention (e.g., hurricanes) and efficiency (precise forecasts down to specific streets).
This cycle of data openness, market competition, and user acceptance has made the meteorological industry more profitable in those countries.
5. Can AI Save the Meteorological Economy?
AI offers hope, but it's not enough yet:
AI has developed models that can improve weather forecasting (e.g., "Feng Qing" and "Feng Lei") and provide global mid-term forecasts. Chinese meteorological agencies have also deployed AI-based early warning systems internationally.
AI can reduce costs and enhance efficiency, turning general services into tailored solutions (e.g., providing accurate forecasts for specific locations). However, it cannot solve the fundamental issue of lack of user payment habits. Reforms are needed to create a market environment where advanced technology can be profitable.
Conclusion
What China's meteorological economy lacks is not demand or technology, but a market structure that allows these technologies to be monetized. Without reforms, no amount of AI will save companies from failing due to market barriers.