Weekly report

Tech Layoffs Weekly Report: 2026-W29

Weekly tech layoffs report for 2026-W29: 1,320 reported layoffs across 7 public events and 6 companies.

Data range: 2026-07-13 to 2026-07-19 Status: final Updated: 2026-07-31
Total layoffs1,320
Events7
Companies6
High intensity1

Summary

During 2026-W29, the dataset recorded 1,320 reported tech layoffs across 7 public events. The report covers 6 companies, 6 industries, and 3 countries or regions.

Comparisons

Compared with 2026-W28, reported layoffs changed by -4,407 (-77.0%). Compared with 2025-W29, reported layoffs changed by 619 (+88.3%).

Comparison Period Layoff delta Layoff % change Event delta
Previous period 2026-W28 -4,407 -77.0% -6
Same period last year 2025-W29 619 +88.3% -2

Breakdowns

Largest Events

Sorted by reported headcount. Events where no headcount was publicly disclosed are not shown.

Date Company Laid off Industry Country Source
2026-07-19 Samsung 739 Hardware United States Source
2026-07-15 Sprout Social 260 Marketing United States Source
2026-07-13 Redis 200 Data United States Source
2026-07-19 Samsung 100 Hardware United States Source
2026-07-14 Rapid7 21 Security United States Source

Methodology

Rows with invalid dates are excluded from period reports.

Rows without num_laid_off count as events but are excluded from headcount totals.

Layoff percentage, funding stage, and funds raised fields are incomplete in source data.

FAQ

How many tech layoffs were reported in 2026-W29?

The weekly report for 2026-W29 includes 1,320 reported layoffs across 7 public events.

Which company had the most layoffs in 2026-W29?

Samsung had the highest reported layoff total in 2026-W29, with 839 layoffs.

Which industry was most affected in 2026-W29?

The leading named industry in 2026-W29 is Hardware, with 839 reported layoffs.

How should this report be interpreted?

This report is generated from public layoff records. Rows without reported headcount can count as events but are excluded from headcount totals, and the dataset should not be treated as proof of causal claims.