AI In Computer Vision Companies - NVIDIA Corporation (US), Intel Corporation (US)and Microsoft Corporation (US) are the Key Players
The global AI in computer vision market is expected to be valued at USD 17.2 billion in 2023 and is projected to reach USD 45.7 billion by 2028; it is expected to grow at a CAGR of 21.5% from 2023 to 2028.
NVIDIA and Intel are industry majors and have largely benefitted from their well-recognized brands, wide range of products, and strong distribution capabilities. This is also confirmed by their growth rates, which have been very similar to the markets. Their margins appear to improve as they leverage their scale to lower the marginal cost of production, cut better deals with suppliers, and negotiate better prices with their trade partners.
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NVIDIA Corporation (US)
NVIDIA is among the world leaders in the visual computing business. It has a well-established geographic footprint and deals with major OEMs or ODMs. The company continues to lead in the development of new products for AI in the computer vision market. Recently, it has witnessed a significant rise in revenue from the data center business. It is giving tough competition to Intel in the data center market. NVIDIA DRIVE for automakers to build and deploy self-driving cars and trucks that are functionally safe and certified to international safety standards is one of the companys essential products. NVIDIA is ahead in the R&D of autonomous cars compared to its competitors. NVIDIA primarily focuses on extending its technology and platform leadership in visual computing. It has invested more than 20% of its revenue in R&D to expand the visual computing segment and enhance the user experience for consumer entertainment and professional visualization applications. Its roadmap delivers the latest technologies across multiple products and devices. This roadmap results from extensive collaboration with game developers, governments, and industry-standard organizations, as well as years of research in emerging network standards and the development of integrated circuits.
Intel Corporation (US)
Intel is a leading designer and manufacturer of advanced integrated digital technology platforms. The company has untapped opportunities in the edge-based artificial intelligence market. Intel, in the past two years, has significantly adopted inorganic strategies such as acquisitions and partnerships. Acquiring companies such as Saffron Technology, Altera, Nervana Systems, Movidius, and Mobileye has further improved its AI product portfolio. Moreover, Intels partnership with AI software solutions and service providers such as C3 IoT, Inc., JianPei Tech Ltd., and Mphasis is expected to be a vital growth strategy of the company in the coming years, as these solutions will lead to mainstream AI adoption. For instance, in August 2017, Intel acquired Mobileye (Israel) to develop automated driving cloud-to-car solutions. This acquisition has positioned Intel as a leading technology provider in the fast-growing market for fully autonomous vehicles and enabled the company to expand its footprint globally and position itself in the automotive industry in Israel.
Microsoft Corporation (US)
Microsoft is one of the leading players in the field of software technology solutions, especially cloud-based solutions. It serves different customer groups through its hardware, software, and service segments. Microsoft Azure platform has empowered the company to offer advanced solutions in AI, analytics, IoT, and cloud solutions. With the development of new Azure Machine Learning (AML), new Visual Studio Tools for AI, Cognitive Services, and new enterprise AI solutions in September 2020, Microsoft showcased its strong organic growth capability. The acquisitions of various startups in the AI space have strengthened its position in the market. Expanding businesses across Asian countries would help strengthen its dominance in the AI in the computer vision market and gain more revenue.
Related Reports:
AI In Computer Vision Market by Component (Hardware, Software), Function (Training, Inference), Application (Industrial, Non-industrial), End-use Industry (Automotive, Consumer Electronics) and Region - Global Forecast to 2028
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