Netflix’s relatively simple business model involves only one business, its streaming service. It has the biggest television entertainment subscriber base in both the United States and the collective international market, with almost 250 million subscribers globally. Netflix has exposure to nearly the entire global population outside of China. The firm has traditionally avoided live programming or sports content, instead focusing on on-demand access to episodic television, movies, and documentaries. The firm recently began introducing ad-supported subscription plans, giving the firm exposure to the advertising market in addition to the subscription fees that have historically accounted for nearly all its revenue.

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.

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.