Top cloud and data employers in Japan
Google leads Japanese cloud and data with a Visibility score of 92.3 out of 100, 2.6 points ahead of AWS. Microsoft is joint 2nd. The list covers the 46 cloud and data employers AI recommends to job seekers in Japan.
- 192.3
Google
#1 in Japanese cloud and data#1 for Customer Success#1 for Data Science#1 for Software EngineeringEvery AI recommends it for purpose, onboarding and pay, among others. The cloud and data employer AI recommends most in Japan.
- 289.7
AWS
Top 3#1 for Customer Success#1 for Product Management#1 for SalesEvery AI recommends it for onboarding, pay and innovation, among others.
- 289.7
Microsoft
Top 3#1 for Product Management#1 for Sales#1 for Software EngineeringEvery AI recommends it for purpose, pay and innovation, among others.
- 453.8
Snowflake
Every AIAI recommends it most for the hiring process, work-life balance and onboarding, among others.
- 548.7
Databricks
Every AIAI recommends it most for the hiring process, work-life balance and onboarding, among others.
- 646.2
Fujitsu
Every AIEvery AI recommends it for leadership and job security.
- 646.2
NTT Data
Every AIEvery AI recommends it for career growth.
- 835.9
NEC
Every AIEvery AI recommends it for leadership.
- 928.2
Hitachi
Every AIAI recommends it most for purpose, innovation and leadership, among others.
- 928.2
IBM
Every AIAI recommends it most for inclusion, interviews and career growth, among others.
- 928.2
Oracle
Every AIAI recommends it most for interviews, pay and culture.
- 928.2
AI recommends it most for pay and innovation. One AI does not mention it yet.
Everyone else
13 to 24Salesforce, SoftBank, Accenture, NTT Communications and 30 moreShow
- 13Salesforce20.5
- 14SoftBank17.9
- 15Accenture15.4
- 16NTT Communications10.3
- 17CyberAgent5.1
- 17Deloitte5.1
- 17Hitachi Vantara5.1
- 17LY Corp5.1
- 17SAP5.1
- 17Teradata5.1
- 17Yahoo Japan5.1
- 24ARM2.6
- 24Capgemini2.6
- 24Check Point Software2.6
- 24Cloudera2.6
- 24Daiwa2.6
- 24Fortinet2.6
- 24Hitachi Solutions2.6
- 24Informatica2.6
- 24Intel2.6
- 24LY Corporation2.6
- 24MUFG2.6
- 24Mitsubishi Electric2.6
- 24NTT Research2.6
- 24Nomura2.6
- 24Palantir2.6
- 24Palo Alto Networks2.6
- 24Panasonic2.6
- 24Red Hat2.6
- 24Sony2.6
- 24Splunk2.6
- 24TCS2.6
- 24Trend Micro2.6
- 24Z Holdings2.6
Best for what candidates ask about
The Japanese cloud and data 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 cloud and data employers for Customer Success in JapanSee the ranking →
- Top cloud and data employers for Data Science in JapanSee the ranking →
- Top cloud and data employers for Product Management in JapanSee the ranking →
- Top cloud and data employers for Sales in JapanSee the ranking →
- Top cloud and data employers for Software Engineering in JapanSee 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 work-life balance and onboarding: AI recommends the leaders for these far more often than the employers below them. The gap is smallest on leadership, where the rest of the list keeps closer to the leaders.
Across the 23 countries the index covers for cloud and data, the leader here has the 4th highest score. Google also leads in Australia, Canada and Switzerland and elsewhere.
Half of the 46 employers score 2.6 or less, while a place in the top ten takes a score of 28.2. The leader's 92.3 shows how far ahead the most recommended employers sit.
Most lists of the best cloud and data 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.
Cloud and data rankings in other countries
- AustraliaTop pickGoogle
- BrazilTop pickMicrosoft
- CanadaTop pickGoogle
- ChinaTop pickAlibaba
- DenmarkTop pickMicrosoft
- FranceTop pickMicrosoft
- GermanyTop pickSAP
- IndiaTop pickGoogle
- IrelandTop pickGoogle
- ItalyTop pickGoogle
- MexicoTop pickMicrosoft
- NetherlandsTop pickMicrosoft
- NorwayTop pickMicrosoft
- Saudi ArabiaTop pickMicrosoft
- SingaporeTop pickGoogle
- South KoreaTop pickNaver
- SpainTop pickMicrosoft
- SwedenTop pickGoogle
- SwitzerlandTop pickGoogle
- United Arab EmiratesTop pickMicrosoft
- United KingdomTop pickGoogle
- United StatesTop pickGoogle
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 cloud and data companies to work for in Japan?
Going by who AI recommends most to Japanese job seekers right now: Google, AWS, Microsoft, Snowflake and Databricks.
Which Japanese cloud and data employers does AI recommend for leadership?
Fujitsu and NEC are both named by every AI when candidates ask about leadership.
Which Japanese cloud and data employers does AI recommend for purpose?
Google and Microsoft are both named by every AI when candidates ask about purpose.
Which Japanese cloud and data employers does AI recommend for onboarding?
Google and AWS are both named by every AI when candidates ask about onboarding.
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.