Make a CLEAR distinction between Information Technology and Data Science. They should NOT be written as the same industry.
1. How large is the data science/analytics industry today in terms of global revenue generated as an entire industry? Give me statistical facts, numbers, and percentage growth rates based on RESEARCH.

2. How much of the United States GDP does the data science industry encompass? Give me statistical facts, numbers, and percentage growth rates based on RESEARCH.
3. How much of global GDP does the data science industry encompass? Give me statistical facts, numbers, and percentage growth rates based on RESEARCH.

4. What is the forecast on how much the data science industry is expected to grow in terms of revenue (within the U.S and then ALSO globally) and what kind of small business and industrial applications it is forecasted to serve? Give me statistical facts, numbers, and percentage growth rates based on RESEARCH.
5. How much does a data analytics service cost on average? For example, how much would cost to pay for data analytics services like Amazon Web Services, Google Analytics, SAS, Tableau, etc? Give me statistical facts, numbers, and percentage growth rates based on RESEARCH.
6. Based on the answers to all the above questions, why should an entrepreneur decide to get into the data science industry that targets small businesses?
Answer each question as its own section. DO NOT combine into an essay.