NVIDIA's H100/B200 GPUs power the majority of the world's AI training infrastructure. Its CUDA platform and Blackwell architecture are the de facto standard for generative AI compute.
Industrial robot deployment, smart factory adoption, and automated assembly line penetration across global manufacturing sectors. NVIDIA's automation score of 51 reflects its R&D intensity ($8.7B annually) and AI patent portfolio of 4200 patents.
| # | Company | Automation Score | AI Patents | R&D ($B) |
|---|---|---|---|---|
| 1 | Siemens Automation | 2400 | $6.0B | |
| 2 | FANUC | 1100 | $1.3B | |
| 3 | Yaskawa | 890 | $1.1B | |
| 4 | ABB Robotics | 740 | $1.6B | |
| 5 | KUKA | 620 | $0.8B | |
| 6 | Mitsubishi Electric FA | 860 | $1.4B | |
| 7 | Kawasaki Robotics | 520 | $0.7B | |
| 8 | Denso Robotics | 430 | $0.6B | |
| 9 | Comau (Stellantis) | 310 | $0.4B | |
| 10 | Epson Robots | 280 | $0.35B |