Africa Cyber Talent Observatory

2026-Q2 (preview) · reproducible snapshot · the supply/demand instrument the continent lacks

Job-Ready supply (opt-in)

active demand (roles)

0.78

supply ÷ demand

regions (≥ floor)

Supply & demand by role

National Job-Ready supply vs active demand. Ratio < 1 = the careerist's opportunity.

Role	Supply	Demand	Ratio	Signal
SOC Analyst L2	10	14	0.71	undersupplied
Penetration Tester	11	13	0.85	balanced
Security Auditor	10	13	0.77	balanced

Regional concentration (location quotient)

CyberSeek method: LQ > 1 means cyber demand is over-concentrated in that region relative to its workforce baseline.

Region	Learners	Job-Ready	Demand	LQ	S/D
KE	18	8	16	2.30×	0.50
NG	24	14	12	0.69×	1.17
ZA	12	7	8	0.66×	0.88

🔒 1 region(s), 6 learners suppressed — below the 10-learner privacy floor. Counted in national totals, never disaggregated.

Skill demand–supply gap

Demand share (job postings) minus supply share (Job-Ready learners). Positive = the nation's shortage / the learner's opportunity.

Skill	Demand	Supply	Gap
cloud-security	4%	0%	+4%
ai-security	4%	0%	+4%
threat-hunting	3%	0%	+3%
incident-response	8%	8%	-0%
siem	8%	8%	-0%
detection-engineering	8%	8%	-0%
log-analysis	8%	8%	-0%
risk-management	7%	8%	-1%

Methodology & privacy. CyberSeek-style: location quotient (demand concentration vs baseline) + supply/demand ratio; supply = Job-Ready, aggregate-opt-in learners. Sources: och readiness_snapshots (synthetic); och opportunities + ingested feeds (synthetic); regional baseline proxy (synthetic). Cohorts < 10 learners are suppressed (privacy floor). No individual learner data in this snapshot. Synthetic demonstration data — not real figures. No individual learner is identifiable in this snapshot; cohorts below the 10-learner floor are suppressed. This is the aggregate projection — the third lens over the same scored object that powers the learner Passport and recruiter search.