HOME Research Insight NVIDIA (US) and Softbank (Japan) are the Top 2 players in the Artificial Intelligence (AI) Robots Market



NVIDIA (US) and Softbank (Japan) are the Top 2 players in the Artificial Intelligence (AI) Robots Market


The artificial intelligence (AI) robots market is expected to grow from USD 3.49 Billion in 2018 to USD 12.36 Billion by 2023, at a CAGR of 8.78% between 2018 and 2023. Artificially intelligent robots refer to service and industrial robots that are integrated with artificial intelligence (AI) technology. These robots can learn a few repetitive tasks without any human intervention and can even communicate with humans or in some cases with other pier robots. Hardware such as AI processors and network devices, along with AI platform, are the key differentiating components of an AI robot from a traditional robot. APAC is expected to hold the largest share of the AI robots market in 2018; the market in this region is expected to grow at a high rate between 2018 and 2023. North America is expected to hold the second-largest share of the AI robots market in 2018. AI-integrated robots are expected to be increasingly adopted in APAC and North America as there is a presence of a significant number of manufacturing companies in these regions and also, these two regions have witnessed a large number of deployments in the recent past. The AI robots market is highly competitive owing to the presence of several large and small players.

In 2017, the AI robots market was dominated by NVIDIA (US), Softbank (Japan), Hanson Robotics (China), Amazon (US), and Alphabet (US). Partnerships, collaborations, and product launches were the key strategies adopted by these top players to capture a major share of the AI robots market.

Top 2 players in the AI robots market:

NVIDIA is among the world leaders in the visual computing business. The company has a well-established geographic footprint and mainly deals with major OEMs/ ODMs worldwide. In addition, it has gained the first mover advantage with the launch of DGX-1, a complete integrated system for deep learning technology. The system includes deep learning software and hardware, which can be used to develop new deep learning technologies/products. The company invests significantly in R&D (21.10%, 26.6%, and 28.90% of its total revenue in 2017, 2016, and 2015, respectively). As of October 2017, it made a total R&D investment of USD 12 billion since its inception. Moreover, it has 7,300 patents with inventions pertaining to modern computing, and more than 71% of its total employees (6,566) in R&D. This has resulted into its strong organic growth and robust positioning, in terms of hardware product development, in the AI market. In addition, with products such as Tegra, NVIDIA aims to establish its supercomputing capabilities in autonomous driving. Further, the company focuses on developing multiple generations of GPUs and Tegra processors for high-performance computing and future AI needs.

SoftBank conducts investment activities to set up new businesses. In 2012, the company entered into the robotics market through the acquisition of Aldebaran Robotics (France) for USD ~100 million. SoftBank Robotics, a subsidiary of the SoftBank Group, changed the “Aldebaran” brand name to “SoftBank Robotics” to increase global brand awareness and business scale. Owing to this, Aldebaran Robotics (France) was renamed to SoftBank Robotics Europe, resulting in the change of the names of other related subsidiaries accordingly. In line with this, Aldebaran Robotics (US) and Aldebaran Robotics (China) were renamed to SoftBank Robotics America and SoftBank Robotics China Trading, respectively. The company has adopted acquisitions as its key growth strategy to strengthen its position in the AI robots market. For instance, in June 2017, the group entered into an agreement to acquire Boston Dynamics (US) and Schaft (Japan), humanoid robot pioneers.

Related Reports:

Artificial Intelligence (AI) Robots Market by Robot Type (Service, Industrial), Offering (GPU, MPU), Technology (Machine Learning, Computer Vision), Application (Public Relations, Stock Management), and Geography - Global Forecast to 2023

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