Emerging Industry Opportunity Radar

Problem

When deciding whether an emerging industry deserves a regional portfolio, the main risk is mistaking short-term policy buzz, fundraising narratives, or media hype for a 3-5-year industrial trend. This skill targets industry research, regional planning, and investment-promotion due diligence. Given an industry_name, such as low-altitude economy, synthetic biology, or humanoid robotics, it helps assess whether the sector has durable growth logic and whether a target region has a realistic fit.

How It Works

The skill centers on industry_name, with optional target_region, time_horizon, and analysis_depth. Key steps include:
- Policy and strategy: map national plans, industrial catalogs, future-industry policies, and local support to judge cross-cycle positioning.
- Market heat and capital: review primary-market financing, leader expansion, M&A, authoritative reports, and market size to separate real demand from concept trading.
- Technology and stage: compare technology routes, commercialization progress, domestic substitution, and bottlenecks, then classify the industry as embryonic, early commercial, rapid growth, or mature.
- Growth logic and competition: decompose policy, market, technology, industrial-upgrade, and consumer drivers, and evaluate national clusters, benchmark cities, and regional windows.
- Regional fit: if target_region is provided, produce a conclusion such as priority layout, key cultivation, follow-up observation, or not recommended.

Limits and Notes

It relies on web search and public authoritative sources, and it does not replace field research, financial diligence, or investment advice. When reliable public data is unavailable, the output should state that clearly instead of filling gaps with vague forecasts.