A Win-Win Royalty Deal Structure in IP Business
Barun Kumar De (SmartPlay Technologies)
Royalty is a critical component in any IP deal. SoC companies want IP companies to share the risk of success (or failure) of their SoC and to enable that they want IP vendors to accept a substantial part of their payment to be paid as royalty. But the customers are also not very interested to shell out huge money to IP companies if the SoC is successful and hence they would like to have the royalty percentage as much as low which IP companies find non-acceptable in several situations.
One way, the IP companies can overcome the challenge is to provide a buyout option to its customers. The buyout option allows buyer to pay a certain amount of money to the seller and stop all future royalty payment. SoC companies will go to buyout option if they see the cash outflow of all the future royalty is more than the buyout price. IP vendor can demand of higher royalty percentage with the buyout option.
To read the full article, click here
Related Semiconductor IP
- 8MHz / 40MHz Pierce Oscillator - X-FAB XT018-0.18µm
- UCIe RX Interface
- Very Low Latency BCH Codec
- 5G-NTN Modem IP for Satellite User Terminals
- 400G UDP/IP Hardware Protocol Stack
Related Articles
- Integrating VESA DSC and MIPI DSI in a System-on-Chip (SoC): Addressing Design Challenges and Leveraging Arasan IP Portfolio
- The Thriving Silicon IP Business
- Increasing bandwidth to 128 GB/s with a tailored PCIe 6.0 IP Controller
- Paving the way for the next generation of audio codec for True Wireless Stereo (TWS) applications - PART 5 : Cutting time to market in a safe and timely manner
Latest Articles
- SNAP-V: A RISC-V SoC with Configurable Neuromorphic Acceleration for Small-Scale Spiking Neural Networks
- An FPGA Implementation of Displacement Vector Search for Intra Pattern Copy in JPEG XS
- A Persistent-State Dataflow Accelerator for Memory-Bound Linear Attention Decode on FPGA
- VMXDOTP: A RISC-V Vector ISA Extension for Efficient Microscaling (MX) Format Acceleration
- PDF: PUF-based DNN Fingerprinting for Knowledge Distillation Traceability