Software as a Service (SaaS) Tyne and Wear> Sunderland
The table below provides summary statistics for permanent job vacancies advertised in Sunderland requiring SaaS skills. It includes a benchmarking guide to the annual salaries offered in vacancies that cited SaaS over the 6 months leading up to 31 May 2025, comparing them to the same period in the previous two years.
6 months to 31 May 2025
Same period 2024
Same period 2023
Rank
17
18
19
Rank change year-on-year
+1
+1
0
Permanent jobs citing SaaS
2
19
1
As % of all permanent jobs advertised in Sunderland
SaaS falls under the Cloud Services category. For comparison with the information above, the following table provides summary statistics for all permanent job vacancies requiring cloud computing skills in Sunderland.
Permanent vacancies with a requirement for cloud computing skills
17
102
14
As % of all permanent jobs advertised in Sunderland
30.36%
59.30%
18.92%
Number of salaries quoted
14
90
6
10th Percentile
-
£41,143
£34,500
25th Percentile
£32,500
£50,000
£40,313
Median annual salary (50th Percentile)
£51,125
£60,000
£53,750
Median % change year-on-year
-14.79%
+11.63%
+26.47%
75th Percentile
£62,188
£73,250
£70,875
90th Percentile
£75,500
£82,500
£72,000
Tyne and Wear median annual salary
£55,000
£50,000
£55,000
% change year-on-year
+10.00%
-9.09%
+4.76%
SaaS Job Vacancy Trend in Sunderland
Job postings citing SaaS as a proportion of all IT jobs advertised in Sunderland.
SaaS Salary Trend in Sunderland
3-month moving average salary quoted in jobs citing SaaS in Sunderland.
SaaS Top 6 Co-occurring Skills and Capabilities in Sunderland
For the 6 months to 31 May 2025, job vacancies citing SaaS also mentioned the following skills and capabilities in order of popularity.
The figures indicate the absolute number co-occurrences and as a proportion of all permanent job ads across the Sunderland region with a requirement for SaaS.
SaaS Co-occurring Skills and Capabilities in Sunderland by Category
The follow tables expand on the table above by listing co-occurrences grouped by category.
The same employment type, locality and period is covered with up to 20 co-occurrences shown in each of the following categories:
