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The MySQL query can be slower for large amounts of data due to several reasons:

1. Indexing: If the database lacks proper indexing, searching through large amounts of data can take a significant amount of time, causing the queries to become slower.

2. Network latency: Retrieving data over a network can be a bottleneck. Larger datasets require more network transfer times, increasing latency, and reducing query throughput.

3. Limited hardware resources: Not having sufficient memory or processing capabilities can result in slow queries with larger datasets.

4. Inefficient queries: Complex queries and queries without optimization can lead to slower performance with larger datasets.

5. Hardware limitations: Slow database queries can also be due to server hardware issues, such as disk I/O, memory, or processing power limitations, which could impact query performance.

6. Locking and constrictions: Locks might cause further delays, especially in high-traffic multi-user environments. The query processing times may increase as more people are concurrently using the database.

In summary, larger datasets can cause MySQL queries to become slower due to several factors, such as inefficient queries, inadequate hardware resources, and poor indexing.