Advanced Micro Devices designs a variety of digital semiconductors for markets such as PCs, gaming consoles, data centers, industrial, and automotive applications, among others. AMD’s traditional strength was in central processing units, CPUs, and graphics processing units, or GPUs, used in PCs and data centers. Additionally, the firm supplies the chips found in prominent game consoles such as the Sony PlayStation and Microsoft Xbox. In 2022, the firm acquired field-programmable gate array, or FPGA, leader Xilinx to diversify its business and augment its opportunities in key end markets such as the data center and automotive.

Founded in 2003 and based in Palo Alto, California, Tesla is a vertically integrated sustainable energy company that also aims to transition the world to electric mobility by making electric vehicles. The company sells solar panels and solar roofs for energy generation plus batteries for stationary storage for residential and commercial properties including utilities. Tesla has multiple vehicles in its fleet, which include luxury and midsize sedans and crossover SUVs. The company also plans to begin selling more affordable sedans and small SUVs, a light truck, a semi truck, and a sports car. Global deliveries in 2023 were a little over 1.8 million vehicles.

Nvidia is a leading developer of graphics processing units. Traditionally, GPUs were used to enhance the experience on computing platforms, most notably in gaming applications on PCs. GPU use cases have since emerged as important semiconductors used in artificial intelligence. Nvidia not only offers AI GPUs, but also a software platform, Cuda, used for AI model development and training. Nvidia is also expanding its data center networking solutions, helping to tie GPUs together to handle complex workloads.

Determining a realistic estimate for the size of the Artificial Intelligence industry is a challenge, as there is simply no measurable unit of AI output comparable to barrels of oil or tons of steel. As well, much of the AI development occurs within laboratories and at universities - and results are measured in tangible progress against AI objectives, not dollars or units of output. In the corporate world, nearly all pure-play AI companies service micro-niches, have little measurable revenue, and are deeply unprofitable. Argus believes that much of the revenue and most of the profitability from the AI industry is attributable to several giant U.S. and a few international companies. These primarily operate in growth sectors such as Technology, Communication Services, and Consumer Discretionary. Key companies include Amazon, Microsoft, Apple, Meta Platforms, IBM, Alphabet, Salesforce, Nvidia, and Qualcomm in the U.S. China has Baidu, Tencent, and Alibaba all developing AI solutions. There is also significant activity among companies pursuing advances in IoT, vehicle electrification, autonomous driving, automation, and connectivity for manufacturing, warehousing, construction, and other areas. Argus has derived a model of the size and scope of the global AI industry, based on our coverage of major publicly traded players and most of the mid-tier players, along with our industry knowledge of private players. We estimate the global industry annual revenue amounted to $90-$100 billion in 2021, and expect that to grow at a 40% CAGR through 2030, when it is expected to reach $1.8 trillion. Annual growth is expected to decelerate from the low- to mid-40% range in the immediate years, to the mid-30% range for years toward the end of the survey period.