AI in Computer Vision Market Key Manufacturers 2026

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The AI in Computer Vision Market would be worth USD 15.9 billion in 2021 and USD 51.3 billion in 2026 with a CAGR of 26.3%.

According to estimates, the AI in Computer Vision Market would be worth USD 15.9 billion in 2021 and USD 51.3 billion in 2026, growing at a CAGR of 26.3%. The primary drivers of the market's expansion are the increased need for ASICs, quality inspection and automation, computer vision systems in novel and developing applications, and quality inspection. Government programmes to encourage industrial automation and the integration of AI into edge devices are also anticipated to open up lucrative potential for market participants in computer vision AI. However, growing security worries about image processing and analytics in the cloud are anticipated to hamper industry expansion.

NVIDIA (US), Intel Corp. (US), Microsoft Corp. (US), IBM Corp. (US), and Qualcomm (US) controlled the AI in Computer Vision market in 2020.  The top 5 players in the AI in computer vision market mostly used product launches, new innovations, collaborations, and acquisitions to expand their client bases and innovate on their product offerings.

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Top 2 Players in the AI in Computer Vision are:

NVIDIA Corporation (US)

Among the top companies in the world for visual computing is NVIDIA. It does business with significant OEMs or ODMs and has an established geographic footprint. The business maintains its position as a market leader in the creation of fresh products for the AI in computer vision sector. Revenue from the data centre industry has significantly increased recently. In the market for data centres, it is putting Intel up against stiff competition. One of the company's key products is NVIDIA DRIVE, which helps automakers create and use self-driving cars and trucks that are certified to meet global safety requirements and are functionally safe. When compared to its rivals, NVIDIA is well ahead in the research and development of autonomous vehicles. The main goal of NVIDIA is to maintain its technological and platform leadership in visual computing. In order to develop the visual computing market and improve the user interface for consumer entertainment and business visualisation applications, the company has been investing more than 20% of its revenue in RD. The most recent technologies are delivered by its roadmap across a variety of goods and devices. This roadmap is the result of years of study into developing integrated circuits, upcoming network standards, and substantial engagement with game developers, governments, and industry-standard groups. NVIDIA can get around any supply chain constraints since it has a large base of dependable raw material sources. The business has developed a solid distribution network over time that can access the majority of its potential markets. Through the introduction of new products, it has invested in developing a solid brand portfolio for the visual computing market.

Recent Developments

The next-generation AI-enabled CPU for autonomous vehicles, NVIDIA DRIVE Atlan, was unveiled in April 2021 and is capable of delivering more than 1,000 trillion operations per second (TOPS). The most recent addition to NVIDIA's centralised compute roadmap for autonomous vehicles, the NVIDIA DRIVE Atlan system-on-a-chip, combines AI and software with the most advanced computing, networking, and security technologies to deliver unprecedented levels of performance and security.

NVIDIA released a new category of NVIDIA-Certified System in April 2021, making AI accessible to businesses that run their apps on enterprise data centre infrastructure that is standardised throughout the industry. High-volume enterprise servers from leading manufacturers that support VMware vSphere 7, the most popular virtualization platform in the world, are included in this new class. They can also run the NVIDIA AI Enterprise software suite.

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Intel Corporation (US)

Leading innovator and producer of cutting-edge integrated digital technology platforms is Intel. The company is well-established in the industry, particularly in the PC and data centre sectors, and makes considerable RD investments, which has led to its dominant position in the AI Computer Vision market. In the data centre industry particularly in developing nations like China and India, Intel enjoys a monopoly. The market for artificial intelligence that is built on the edge offers unexplored potential for the organisation. In the last two years, Intel has aggressively embraced inorganic techniques like partnerships and acquisitions. Its AI product range has been further enhanced by the acquisition of businesses like Saffron Technology, Altera, Nervana Systems, Movidius, and Mobileye. Additionally, Intel's collaboration with AI software solution and service providers like C3 IoT, Inc., JianPei Tech Ltd., and Mphasis is anticipated to be a key component of the company's growth strategy in the years to come as these solutions will promote the widespread use of AI. For instance, Intel purchased the Israeli company Mobileye in August 2017 in order to create cloud-to-car solutions for automated driving. With this acquisition, Intel has established itself as a market leader in the rapidly expanding fully autonomous car business, expanding its global reach and strengthening its position in Israel's automotive sector.

Recent Developments

Intel RealSense ID, an on-device solution that combines an active depth sensor with a dedicated neural network to enable safe, precise, and user-aware facial authentication, was unveiled by Intel in January 2021. Smart locks, access control, point-of-sale, ATMs, and kiosks are a few of the devices that Intel RealSense ID can be used with.

In order to add additional artificial intelligence (AI) capabilities to its MAXPRO linked security platform, Honeywell and Intel collaborated in April 2019. The Intel Vision solutions will be incorporated into the MAXPRO Network Video Recorders (NVR) and Video Management Systems (VMS), enabling advanced analytics, deep learning, and facial recognition capabilities. By drastically lowering false alarms, these security solutions can save costs and save time.

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