Top enterprise software employers in South Korea
LG CNS leads South Korean enterprise software with a Visibility score of 79.5 out of 100, 12.8 points ahead of Kakao. Microsoft is third. The list covers the 38 enterprise software employers AI recommends to job seekers in South Korea.
- 179.5
LG CNS
#1 in South Korean enterprise software#1 for innovation#1 for job securityEvery AIEvery AI recommends it for innovation, job security and purpose, among others. No other South Korean enterprise software employer is named for innovation or job security by every AI. The enterprise software employer AI recommends most in South Korea.
- 266.7
Kakao
Top 3Every AIEvery AI recommends it for leadership, purpose and culture, among others.
- 356.4
Microsoft
Top 3#1 for Marketing#1 for Product Management#1 for SalesEvery AI recommends it for career growth, inclusion and pay, among others.
- 356.4
Naver
Top 3#1 for Software EngineeringEvery AIEvery AI recommends it for leadership, culture and work-life balance, among others.
- 548.7
Oracle
Every AIEvery AI recommends it for the hiring process and onboarding.
- 548.7
SAP
Global starEvery AIEvery AI recommends it for the hiring process and onboarding.
- 746.2
Salesforce
#1 for Customer SuccessGlobal starEvery AIEvery AI recommends it for inclusion, the hiring process and onboarding.
- 828.2
AI recommends it most for onboarding, inclusion and the hiring process. One AI does not mention it yet.
- 917.9
Google
Every AIEvery AI recommends it for pay.
- 1012.8
AI recommends it most for onboarding, culture and the hiring process, among others. One AI does not mention it yet.
Everyone else
11 to 19Adobe, Naver Business Platform, KT, LY Corp and 24 moreShow
- 11Adobe7.7
- 11Naver Business Platform7.7
- 13KT5.1
- 13LY Corp5.1
- 13NCSOFT5.1
- 13TCS5.1
- 13VMware5.1
- 13Workday5.1
- 19Atlassian2.6
- 19Cisco2.6
- 19Coupang2.6
- 19HCLTech2.6
- 19HP2.6
- 19Hanwha Aerospace2.6
- 19Hyosung2.6
- 19Hyundai2.6
- 19Infosys2.6
- 19Lotte2.6
- 19Mirae Asset Daewoo2.6
- 19Naver Cloud Platform2.6
- 19NetApp2.6
- 19Nexon2.6
- 19POSCO2.6
- 19SK hynix2.6
- 19Samsung2.6
- 19Tech Mahindra2.6
- 19Trend Micro2.6
- 19Wipro2.6
Best for what candidates ask about
The South Korean enterprise software employer AI recommends most when candidates ask about each topic.
By role
Who AI recommends to engineers is not who it recommends to salespeople. Each role has its own ranking.
- Top enterprise software employers for Customer Success in South KoreaSee the ranking →
- Top enterprise software employers for Marketing in South KoreaSee the ranking →
- Top enterprise software employers for Product Management in South KoreaSee the ranking →
- Top enterprise software employers for Sales in South KoreaSee the ranking →
- Top enterprise software employers for Software Engineering in South KoreaSee the ranking →
About this ranking
This is the first measurement of this ranking, so there is no earlier order to compare it with yet.
What separates the top five from the rest is interviews and work-life balance: AI recommends the leaders for these far more often than the employers below them. The gap is smallest on innovation, where the rest of the list keeps closer to the leaders.
Across the 23 countries the index covers for enterprise software, the leader here has the 16th highest score. Elsewhere the lead changes hands: in India, AI recommends Atlassian first.
More than half of the 38 employers score 2.6 or less, while a place in the top ten takes a score of 12.8. The leader's 79.5 shows how far ahead the most recommended employers sit.
Most lists of the best enterprise software companies to work for come from employee surveys or awards. This one tracks what AI tells job seekers, because many candidates now ask AI where to work before they open a careers page.
Read our article: Top enterprise software companies to work for
Enterprise software rankings in other countries
- AustraliaTop pickAtlassian
- BrazilTop pickSAP
- CanadaTop pickSalesforce
- ChinaTop pickSAP
- DenmarkTop pickMicrosoft
- FranceTop pickSAP
- GermanyTop pickSAP
- IndiaTop pickAtlassian
- IrelandTop pickSalesforce
- ItalyTop pickMicrosoft
- JapanTop pickSalesforce
- MexicoTop pickOracle
- NetherlandsTop pickMicrosoft
- NorwayTop pickMicrosoft
- Saudi ArabiaTop pickMicrosoft
- SingaporeTop pickMicrosoft
- SpainTop pickMicrosoft
- SwedenTop pickSAP
- SwitzerlandTop pickSAP
- United Arab EmiratesTop pickMicrosoft
- United KingdomTop pickSalesforce
- United StatesTop pickMicrosoft
Ready to move up this list?
This page shows how often AI recommends you. PerceptionX shows why, which sources are holding you back, and what to change to move up.
Questions about this ranking
What are the top enterprise software companies to work for in South Korea?
Going by who AI recommends most to South Korean job seekers right now: LG CNS, Kakao, Microsoft, Naver and Oracle.
Which South Korean enterprise software employer does AI recommend for innovation?
LG CNS. No other South Korean enterprise software employer is named by every AI when candidates ask about innovation.
Which South Korean enterprise software employer does AI recommend for job security?
LG CNS. No other South Korean enterprise software employer is named by every AI when candidates ask about job security.
Which South Korean enterprise software employers does AI recommend for leadership?
Kakao and Naver are both named by every AI when candidates ask about leadership.
How does the Employer Visibility Index work?
We ask AI assistants the questions job seekers ask about employers, by industry, country and role. We record which employers they recommend and turn that into a Visibility score out of 100.
How often are rankings updated?
Rankings refresh with each new round of AI answers. Each page shows the date its data was updated, and the arrows next to each score show how an employer has moved since the previous measurement.
Do I need to be a PerceptionX customer to appear in the index?
No. Any employer AI recommends often enough appears automatically. Customers get the full picture behind their Visibility score and well beyond it: how positively AI describes them (Sentiment), the themes it links them with, the sources it relies on, custom reports by country and role, and clear steps to improve how candidates see them.