The word assume ...

U.S. Graphics Processing Unit (GPU) Market

The word assume applies as predicting the future's a fool's game due to quantum and the two laws of thermodynamics. There is no certitude yet this report assumes the market will increase nearly 10 fold within the space of 9 years as BAU (Business as Usual) applies. 

The United States Graphics Processing Unit (GPU) Market is expected to reach US$ 136.07 billion by 2033 from US$ 19.03 billion in 2024, with a CAGR of 24.43% from 2025 to 2033

The growing demand for gaming, artificial intelligence, and data-intensive applications, as well as the expansion of cloud computing, machine learning, cryptocurrency mining, high-performance computing, and improvements in 3D visualization, as well as consumer preferences for immersive digital and multimedia experiences, are driving the growth of the GPU market in the United States.

Applications such as data analytics, 3D modeling, scientific simulations, machine learning, and artificial intelligence depend on them. GPUs are perfect for high-performance computing because they can process several jobs at once, unlike CPUs, which handle tasks sequentially. GPUs are essential in a variety of sectors, including gaming and entertainment, healthcare, finance, and autonomous cars, because to their adaptability, efficiency, and speed.

High-performance computing (HPC), artificial intelligence (AI), and gaming are the three industries driving the graphics processing unit (GPU) market in the United States. Advanced GPUs are required by the rapidly expanding gaming industry for esport, virtual reality, and immersive experiences. Demand is further accelerated by the use of AI and machine learning in the fields of healthcare, finance, and autonomous cars because GPUs are excellent at performing complex algorithms in parallel.

In order to manage enormous workloads, growing cloud computing and data centers depend on GPU-powered infrastructure. Growth is also fueled by applications in scientific research, media, and 3D rendering. Performance and efficiency are improved by ongoing innovation in GPU architectures, which makes them indispensable in a variety of industries and propels steady market growth.

Notice, there is no analysis about the inevitable costs of said tech beginning with the eating the world scenario regarding the intense resource requirements to drive said systems as tech companies are contemplating buying nuclear reactors to power the tech in question. Another issue not discussed is maintenance as GPU life spans are 2-3 years at best so the data centers in question must be constantly updated in order for the AIs to function and lastly, we haven't even discussed the woeful power grid situation or climate change as CC impacts the making of stuff in ways boggling the mind. 

In essence, the word assume is the most dangerous word in any language as it is truly the Ass of You & Me. :)

Factoid, systems hallucinate as LLMs have run out of content to crunch so AI companies are asking the AI's to create artificial experiences, a process akin to the in-breading of the royals with Charles II of Spain as poster child. 

Charles II of Spain Portrait by Juan Carreño de Miranda, c. 1685