Explore All 9664 Add-on Acquisition Information Technology Deals - Search the Database Free
M&A Deal Summary |
|
|---|---|
| Date | April 14, 2025 |
| Target | Pex |
| Sector | Information Technology |
| Buyer(s) | Vobile Group |
| Sellers(s) | Layline Partners |
| Deal Type | Add-on Acquisition |
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| Category | Company |
|---|---|
| Founded | 2005 |
| Sector | Information Technology |
| Employees | 542 |
| Revenue | 2.4B HKD (2024) |
Vobile Group is a provider for protecting, measuring and monetizing online video content. Vobile Group creates cutting-edge technology solutions for content owners and distributors through its best-in-class SaaS platform. Vobile Group was founded in 2005 and is based in Hong Kong, China.
| Deal Context for Buyer | # |
|---|---|
| Overall | 2 of 2 |
| Sector: Information Technology | 1 of 1 |
| Type: Add-on Acquisition | 1 of 1 |
| Country: United Kingdom | 1 of 1 |
| Year: 2025 | 1 of 1 |
| DATE | TARGET | DEAL TYPE | VALUE |
|---|---|---|---|
| 2019-07-18 |
ZEFR - RightsID and ChannelID
Los Angeles, California, United States ZEFR, Inc. - RightsID is the industry major rights management and monetization technology suite for enterprise media companies. ChannelID ability to monitor and analyze video metadata at a massive scale. |
Buy | $90M |
| Category | Growth Capital Firm |
|---|---|
| Founded | 2004 |
| Size | Small |
| Type | Sector Agnostic |
Layline Partners is a private investment firm focused on small and mid market companies in Sweden. The Firm looks to work alongside company management to help accelerate growth. Layline Partners was formed in 2004 and is based in Gothenburg, Sweden.
| Deal Context for Seller | # |
|---|---|
| Overall | 3 of 3 |
| Sector: Information Technology | 1 of 1 |
| Type: Add-on Acquisition | 3 of 3 |
| Country: United Kingdom | 1 of 1 |
| Year: 2025 | 1 of 1 |
| DATE | TARGET | DEAL TYPE | VALUE |
|---|---|---|---|
| 2019-07-16 |
understand.ai
Karlsruhe, Germany understand.ai provides high-quality training and validation data to enable mobility companies to develop with confidence computer vision and machine learning models that reliably and safely power autonomous vehicles. |
Sell | - |
