This is addressed by the respective FAQ Q: How does Amazon DynamoDB differ from Amazon SimpleDB? Which should I use? (hash link no longer works, but use in-page Find to locate question within page) to some extent already, with the most compact summary at the end of the paragraph:
While SimpleDB has scaling limitations, it may be a good fit for
smaller workloads that require query flexibility. Amazon SimpleDB
automatically indexes all item attributes and thus supports query
flexibility at the cost of performance and scale.
So it's a trade off between performance/scalability and simplicity/flexibility, i.e. for simpler scenarios it might still be easier getting started with SimpleDB to avoid the complexities of architecturing your application for DynamoDB (see below for a different perspective).
The linked FAQ entry references Werner Vogel's Amazon DynamoDB – a Fast and Scalable NoSQL Database Service Designed for Internet Scale Applications as well, which is indeed an elaborate and thus highly recommended read concerning the History of NoSQL at Amazon in general and Dynamo in particular; it contains many more insights addressing your question as well, e.g.
It became obvious that developers [even Amazon engineers] strongly preferred simplicity to
fine-grained control as they voted "with their feet" and adopted
cloud-based AWS solutions, like Amazon S3 and Amazon SimpleDB, over
Dynamo. [addition mine]
Obviously DynamoDB has been introduced to address this and could thus be qualified as a successor of SimpleDB rather than 'just' amending their existing NoSQL offering:
We concluded that an ideal solution would combine the best parts of
the original Dynamo design (incremental scalability, predictable high
performance) with the best parts of SimpleDB (ease of administration
of a cloud service, consistency, and a table-based data model that is
richer than a pure key-value store).
Werner's Summary suggests DynamoDB to be a good fit for applications of any size now accordingly:
Amazon DynamoDB is designed to maintain predictably high performance
and to be highly cost efficient for workloads of any scale, from the
smallest to the largest internet-scale applications.