Where Analytics, Data Science, Machine Learning Were Applied: Trends and Analysis
CRM/Consumer Analytics, Finance, and Banking are still the leading applications, but Health Care and Fraud Detection are gaining. Anti-spam, Manufacturing, and Social are the fastest growing sectors in 2017, while Oil / Gas / Energy and Social Networks analysis have declined.
Regional distribution was again similar to last year poll, but almost exactly the same share from US/Canada and Europe, with higher share from Asia and lower share from Africa/Middle East and Latin America:
Here are the results of past polls:
Chris Barnes:
Many fields not included; e.g. : Mathematics, Sport, Education; Business Process Engineering; Economics, Gambling.... How were the categories chosen, given the inevitable overlaps? What about a clustered correlation plot etc? Gregory Piatetsky
The options are the most popular application areas based on our view of the field and our experience and are the same as in 2016 poll where "Other" option was only 6%. In this poll "Other" was 8%.
- US/Canada, 39%
- Europe, 34%
- Asia 16%
- Latin America, 5.2%
- Africa/Middle East, 3.1%
- Australia/NZ, 2.9%
Industries/Fields where you applied Analytics, Data Science, Machine Learning in 2017?
 2017 % of voters
 2016 % of voters
 2015 % of voters
| |
| CRM/Consumer analytics (75) | 16.8%
16.3%
18.6%
|
| Finance (68) | 15.2%
15.0%
15.4%
|
| Banking (63) | 14.1%
13.4%
14.3%
|
| Health care (59) | 13.2%
12.0%
13.4%
|
| Fraud Detection (58) | 13.0%
11.1%
10.0%
|
| Science (55) | 12.3%
12.0%
11.7%
|
| Retail (50) | 11.2%
10.3%
9.1%
|
| Advertising (47) | 10.5%
12.0%
8.9%
|
| E-commerce (46) | 10.3%
8.9%
10.3%
|
| Education (42) | 9.4%
7.1%
10.0%
|
| Manufacturing (40) | 9.0%
5.6%
6.9%
|
| Medical/ Pharma (38) | 8.5%
6.5%
6.0%
|
| Supply Chain (38) | 8.5%
6.5%
na
|
| Other (36) | 8.1%
6.3%
8.9%
|
| Insurance (36) | 8.1%
9.2%
7.4%
|
| IT / Network Infrastructure (34) | 7.6%
7.2%
6.6%
|
| Credit Scoring (31) | 7.0%
6.9%
7.1%
|
| Social Media / Social Networks (30) | 6.7%
8.3%
10.3%
|
| Oil / Gas / Energy (29) | 6.5%
7.1%
8.9%
|
| Government/ Military (26) | 5.8%
5.6%
7.1%
|
| Telecom / Cable (26) | 5.8%
8.3%
7.7%
|
| Automotive/Self-Driving Cars (24) | 5.4%
4.5%
4.3%
|
| Search / Web content mining (24) | 5.4%
5.4%
6.0%
|
| Biotech/Genomics (24) | 5.4%
5.8%
4.9%
|
| Software (24) | 5.4%
7.2%
6.0%
|
| Direct Marketing/ Fundraising (22) | 4.9%
4.3%
5.1%
|
| HR/workforce analytics (21) | 4.7%
3.6%
6.3%
|
| Travel / Hospitality (18) | 4.0%
4.0%
2.6%
|
| Games (16) | 3.6%
2.9%
4.0%
|
| Agriculture (15) | 3.4%
3.3%
2.9%
|
| Investment / Stocks (15) | 3.4%
6.2%
4.3%
|
| Mining (14) | 3.1%
4.2%
3.7%
|
| Social Good/Non-profit (12) | 2.7%
2.0%
2.3%
|
| Entertainment/ Music/ TV/ Movies (12) | 2.7%
4.0%
3.1%
|
| Junk email / Anti-spam (10) | 2.2%
1.1%
0.3%
|
| Social Policy/ Survey analysis (7) | 1.6%
1.8%
1.7%
|
| Security / Anti-terrorism (7) | 1.6%
2.7%
2.3%
|
| Mobile apps (6) | 1.3%
3.3%
1.4%
|
Here are the results of past polls:
- Where Analytics, Data Mining, Data Science were applied in 2016
- Where Analytics, Data Mining, Data Science were applied in 2015
- Where Analytics, Data Mining, Data Science was applied in 2014?
- Where did you apply Analytics/Data Mining in 2012?
- Industries / Fields where you applied Analytics / Data Mining, 2011.
- Industries / Fields for Analytics / Data Mining, 2010.
- Data Mining Applications, 2009.
- Data Mining Applications, 2008.
- Data Mining Applications by Industry, 2007.
- Industries/fields where you applied data mining, 2006.
Chris Barnes:
Many fields not included; e.g. : Mathematics, Sport, Education; Business Process Engineering; Economics, Gambling.... How were the categories chosen, given the inevitable overlaps? What about a clustered correlation plot etc? Gregory Piatetsky
The options are the most popular application areas based on our view of the field and our experience and are the same as in 2016 poll where "Other" option was only 6%. In this poll "Other" was 8%.
