Samsung Electronics

Type

Corporate investor

Status

Active

Location

Seoul, South Korea

Total investments

64

Average round size

79M

Portfolio companies

60

Rounds per year

1.16

Lead investments

18

Follow on index

0.05

Exits

13

Areas of investment
AutomotiveInternetSoftwareInformation TechnologyArtificial IntelligenceMachine LearningHealth CareManufacturingElectronicsWireless

Summary

Samsung Electronics is the famous Corporate Investor, which was founded in 1969. The company was established in Asia in South Korea. The main office of represented Corporate Investor is situated in the Suwon.

For fund there is no match between the country of its foundation and the country of its the most frequent investments - United States. Moreover, a startup needs to be at the age of 6-10 years to get the investment from the fund. Among the most popular fund investment industries, there are Information Technology, Semiconductor. Among the most popular portfolio startups of the fund, we may highlight Starent Networks, Wave Computing, TTTech. The fund has no specific favorite in a number of founders of portfolio startups. If startup sums 5+ of the founder, the chance for it to be financed is low.

This organization was formed by Byung-chul Lee. We also calculated 3 valuable employees in our database.

The usual cause for the fund is to invest in rounds with 5-6 partakers. Despite the Samsung Electronics, startups are often financed by VantagePoint Capital Partners, Intel Capital, Samsung Ventures. The meaningful sponsors for the fund in investment in the same round are North Bridge Venture Partners & Growth Equity, Matrix Partners, Highland Capital Partners. In the next rounds fund is usually obtained by Samsung Ventures, UOB Venture, Korea Investment Partners.

The high activity for fund was in 2017. Despite it in 2019 the fund had an activity. The fund is constantly included in less than 2 deals per year. Comparing to the other companies, this Samsung Electronics performs on 17 percentage points more the average number of lead investments. The usual things for fund are deals in the range of 10 - 50 millions dollars. The average startup value when the investment from Samsung Electronics is 10-50 millions dollars. Speaking about the real fund results, this Corporate Investor is 9 percentage points more often commits exit comparing to other organizations. The top amount of exits for fund were in 2010.

Show more

Investor highlights

Stage focus
Seed

Discover reliable insights

Find relevant VC investors, identify key contacts and secure funding opportunities.

Investments analytics

Analytics

Total investments
64
Lead investments
18
Exits
13
Rounds per year
1.16
Follow on index
0.05
Investments by industry
  • Software (15)
  • Manufacturing (13)
  • Artificial Intelligence (10)
  • Information Technology (9)
  • Machine Learning (8)
  • Show 114 more
Investments by region
  • United States (28)
  • China (5)
  • Canada (1)
  • Austria (2)
  • Germany (2)
  • Show 7 more
Peak activity year
2017
Number of Unicorns
1
Number of Decacorns
1
Number of Minotaurs
2

Discover reliable insights

Leverage validated data, identify key contacts and secure funding opportunities for your business.

Quantitative data

Avg. startup age at the time of investment
12
Avg. valuation at time of investment
75M
Group Appearance index
0.69
Avg. company exit year
8
Avg. multiplicator
0.06
Strategy success index
0.60

Need more data?

Get access to full data about investors, including their team, contact information, and historic data.

Latest deals

Company name Deal date Industry Deal stage Deal size Location
Hona AI 03 May 2024 Seed 3M United States, California, San Francisco
Meyahh 11 Jan 2023 Software, Water Purification Seed 40K
XPerience XR 14 Sep 2021 Information Technology, Information Services Seed São Paulo, Sao Paulo, Brazil
How we get our data

At Unicorn Nest, we combine cutting-edge technology with human expertise to build one of the most reliable venture capital databases in the market. Our process begins with automated AI-enhanced data collection, leveraging the full potential of Large Language Models (LLMs).

Later, our team of analysts takes it further with manual verification, using proprietary tools for data cleaning and validation to ensure accuracy and reliability. We cross-check and enhance our findings through press and media monitoring, integrating information from trusted news outlets and venture capital aggregators. Finally, we stay ahead of the curve by monitoring social networks like LinkedIn and X.com.