Showing posts sorted by date for query general purpose technology. Sort by relevance Show all posts
Showing posts sorted by date for query general purpose technology. Sort by relevance Show all posts

Thursday, November 14, 2024

How Big is "GPU as a Service" Market?

It’s almost impossible to precisely quantify the addressable market for specialized “graphics processor unit as a service” providers such as CoreWeave, which specializes in providing GPU infrastructure to artificial intelligence developers.


CoreWeave might be considered an innovation in the area of high-performance computing for that reason, as it emphasizes GPUs rather than Central Processing Units. GPUs are considered essential for accelerating computationally intensive tasks like AI and machine learning. 

  

Traditional HPC often relies on CPUs for general-purpose computing. CoreWeave prioritizes GPUs, which are optimized for parallel processing. Right now, the market might be in low single-digit billions, but growing to possibly double-digit or triple-digit billions by the mid-2030s. 


Still, GPU as a service is a specialty within the cloud computing as a service business, and might remain two orders of magnitude smaller. 


Study Name

Date

Publisher

Key Estimates

GPU as a Service Market Size, Share & Growth Report

2023

Grand View Research

Global market valued at USD 3.35 billion in 2023, projected to grow at a CAGR of 21.6% from 2024 to 2030.

GPU as a Service Market Size, Growth

Forecast Analysis [2032]

Fortune Business Insights

Global market valued at USD 3.23 billion in 2023, projected to grow from USD 4.31 billion in 2024 to USD 49.84 billion by 2032, exhibiting a CAGR of 35.8%.

GPU as a Service Market Size & Share

Growth Forecast 2032

Global Market Insights

Global market valued at USD 6.4 billion in 2023, projected to grow at a CAGR of over 30% during 2024 to 2032.

GPU-as-a-Service Market Size, Trends & Outlook by 2033

2023

FMI - Future Market Insights

Global market valued at USD 3.91 billion in 2023, projected to grow at a CAGR of 40.8% between 2023 and 2033, totaling around USD 119.6 billion by 2032.

GPU as a Service Market Size & Share

Growth Analysis 2037

Research Nester

Global market valued at USD 4.34 billion in 2024, projected to exceed USD 95.07 billion by 2037, registering over 26.8% CAGR.


As with many other firms launching in new markets, perhaps the essential gamble is that X market will be huge and Y provider will get N percent of the market. So GPU as a service might be a subset of generative AI as a service. 


Study

Date

Publisher

Key Estimate

The State of AI 2023

June 2023

Anthropic

The global market for generative AI computing as a service is forecast to reach $15 billion by 2027.

Generative AI Market Outlook

September 2023

CoreWeave

The market for generative AI computing as a service is expected to grow at a CAGR of 35% from 2023 to 2028, reaching $18.2 billion in value by 2028.

Gartner Hype Cycle for AI 2023

July 2023

Gartner

Generative AI computing as a service is projected to have a market size of $14.5 billion by 2026.

Generative AI Market Size, Share

2023

Fortune Business Insights

Global market valued at USD 43.87 billion in 2023, projected to reach USD 967.65 billion by 2032, with a CAGR of 39.6%.

Generative AI Market Size To Hit USD 803.90 Bn By 2033

2023

Precedence Research

Global market size was USD 17.65 billion in 2023, expected to reach USD 803.90 billion by 2033, expanding at a CAGR of 46.5%.

Generative AI Market Size And Share

2024

Grand View Research

Global market led by North America, with a revenue share of 40.8% in 2024. Software segment dominates with a 64.2% share.

Generative AI Market Size, Trends, & Technology Roadmap

2023

MarketsandMarkets

Focuses on technology trends and roadmap, including advancements in transformer models and multimodal data.


Monday, November 4, 2024

Which Firm Will Use AI to Boost Revenue by an Order of Magnitude?

Ultimately, there is really only one way for huge AI infrastructure investments up by an order of magnitude over cloud computing investment to pay off: revenues will have to increase by an order of magnitude as well. 


It might be a stretch to argue that is possible for most firms investing in generative AI frontier models, for example. But it is almost certain that at least one or two of those firms will manage to do so, emerging as leaders of a new industry they lead. 


And that is the prize.  


source: Sherwood 


But generative AI, the current focus of capex, might be--if not a full-blown general-purpose technology--the sort of digital product that creates a whole new--and big--industry. Think of the past pattern of new industries built on firms and products including operating systems, e-commerce, search, social media and online advertising in general, plus still-growing businesses such as ride-hailing and peer-to-peer lodging. 


if generative AI winds up being a “winner take all” business, as most other computing segments have been, there will be no prize for third best, and limited advantage for being second best. 


We have already seen that pattern in many other computing markets. The leader in search has 91 percent market share. The browser leader has 65 percent share. The mobile operating system leader has 72 percent share. The U.S. ride-hailing leader has 68 percent share. 


Market

Dominant Player

Market Share

Runner-up

Market Share

Search Engines

Google

91.9%

Bing

3.0%

Desktop Browsers

Chrome

65.72%

Safari

18.22%

Mobile Browsers

Chrome

66.17%

Safari

23.28%

E-commerce

Amazon

37.8% (US)

Walmart

6.3% (US)

Video Streaming

YouTube

2.5B users

Netflix

231M subscribers

Music Streaming

Spotify

31%

Apple Music

15%

Ride-hailing (US)

Uber

68%

Lyft

32%

Cloud Services

AWS

32%

Azure

22%

Mobile OS

Android

71.8%

iOS

27.6%


So, whether investors like it or not, would-be leaders of the generative AI ecosystem are pouring resources into the effort to lead the new market. And that investment intensity affects investor perceptions, even as the big firms continue to post revenue growth. 


Alphabet reported a robust 15-percent revenue growth; 35-percent cloud computing revenue growth; operating income up 34 percent but also AI-focused capital investment up 72 percent. 


“And as we think into 2025, we do see an increase in AI-focused capital investment coming in 2025,” said Alphabet CFO Anat Ashkenazi. 


So does Amazon, which expects capex to be about  $75 billion in 2024 and “more than that in 2025,” according to Amazon CEO Andy Jassy. “And the majority of it is for AWS and specifically, the increased bumps here are really driven by Generative AI.


“Our AI business is a multi-billion dollar business that's growing triple-digit percentages year-over-year and is growing three times faster at its stage of evolution than AWS did itself,” said Jassy.


Generative AI “is a really unusually large, maybe once-in-a-lifetime type of opportunity,” he said.


All that is fueling investment into generative AI, which based on recent computing product precedent, will produce  a “winner take all” market. 


Company

2024 Estimated AI Capex

2025 Estimated AI Capex

Microsoft

$80 billion

Significant increase

Amazon

$75 billion

Further increase

Alphabet

$52 billion

Increase expected

Meta

$38-40 billion

Significant growth


Microsoft and Meta Platforms both beat analyst expectations with their quarterly earnings reports, but also said more AI spending is coming, pushing down share prices for both firms. 


Microsoft CEO Satya Nadella noted continued capacity constraints at data centers amid surging demand, but also continues heavy spending  on cloud and AI to scale to alleviate capacity constraints. 


Meta CEO Mark Zuckerberg also forecast a "significant acceleration" in spending on AI-related infrastructure in 2025. Zuckerberg acknowledged that this may not be what investors want to hear in the near term, but insisted that the opportunities here "are really big."


GenAI is a big gamble. Based on history, we might suggest that all but one or two of these efforts will fail, and the list of serious contenders also includes OpenAI and others. Should that pattern hold, the top two companies might have 60 percent to 80 percent share of the total market. 


Market Position

Market Share

Profit Share

Leader

70-90%

80-90%

Runner-up

10-20%

5-15%

Others (3-10)

5-10%

0-5%


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