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This growth is fueled by AI workloads. “Because of our overall differentiation, more than 18,000 organizations now use Azure OpenAI service, including new-to-Azure customers.” ” “Higher-than-expected AI consumption contributed to revenue growth in Azure.
Google Cloud Platform (GCP) & Microsoft Azure had strong quarters with about 28% annual revenue growth each. But the story in this quarter’s reports is AI. The total customer count for Azure’s OpenAI has grown dramatically. All of that usage is creating a massive business. 1 percentage point of growth on a $28.5b
Perhaps most importantly, Salesforce has leaned deeply into AI … and while the usage is impressive, so far it hasn’t materially changed growth. Nvidia, Google Cloud, Azure, etc. Salesforce May Be Hiring 1,000+ Reps To Sell AI, But Overall Sales & Marketing Spend is down From 32% of revenue a year ago to 30% today.
Subscribe now Azure Report - Cloud Infra Looks Good! For software, all eyes were on Azure - which grew 31% YoY (ahead of expectations closer to 29%). Azure doesn’t disclose exact Azure quarterly revenue (they disclose growth rate in absolute terms and in constant currency), but there are good estimations.
Which is the best business in AI at the moment? I analyzed Q4 revenue data from publicly traded companies across multiple sectorssoftware companies, consulting firms, and hardware manufacturers to determine which segment dominates the AI market. In second place, Microsoft’s AI business, including Azure, is at a $3.25b Q4 revenue.
Subscribe now “Grouping + AI” for Triage One area I’m quite excited to see AI revolutionize is “grouping + triage” workflows. Many of them AI based. They each have some of the largest cloud businesses in the world in AWS, Azure and Google Cloud respectively. Follow along to stay up to date!
ai is one of those enterprise software companies ($2m customers on average) you hear about and see their billboards but are never quite sure what they do. ai, that somewhat mysteriously does “Enterprise AI” It IPO’d to now a $5 Billion valuation and is now at $200m+ in ARR, growing at 29%.
“For some companies, [AI is] going to be standard issue like a PC.” Calendar Quarter Azure OpenAI Orgs, k CoPilot Users, m Power Platform Orgs, k 1/1/24 53 1.3 Microsoft’s document database, Cosmos, grew 42% annually, driven by AI. ” The data point suggests AI workloads could be a massive boon for Mongo.
At SaaStr AI Day , Mike Tamir, Head of AI at Shopify, and Rudina Seseri, founder and Managing Partner at Glasswing Ventures, level-set about where we are in the cycle for Enterprises adopting AI and the critical work being done at Shopify to leverage AI and solve real problems. The future of Enterprise is “Ambient AI.”
In the past, the bigger the AI model, the better the performance. This is a chart of many recent AI models’ performance according to a broadly accepted benchmark called MMLU. 1 MMLU measures the performance of an AI model compared to a high school student. OpenAI Model Release Date Parameters, B MMLU GPT2 2/14/19 1.5
There are so many mixed signals: Unicorn product is up 2x over last year, but layoffs continue AI spend is fast and furious, with Google Cloud, Microsoft Azure, etc. Overall, SaaS leaders tied to non-tech buyers or tied to AI are still growing at epic rates. So is it a downturn in SaaS or Cloud — or not?
There are 4 questions a startup should ask themselves about building a startup that uses generative AI. The narrative is : AI is a massive platform change that Goldman Sachs projects will increase GDP 300x more than the PC. There are 4 questions startups should ask themselves about building with generative AI. The video is here.
And AI is obviously on fire, pulling up AWS, Google Cloud, Azure, etc. So not everyone is seeing tougher times these days. SaaS outside of classic “B2B’ is often holding up well. Klaviyo, Toast, etc. just had very strong quarters. More B2B2C there. Security remains on fire overall as well.
If it wasn’t clear before, AI is the single biggest revenue driver in cloud. Microsoft’s Azure is winning share directly from Amazon. ” Much of the AI spend is at the enterprise, where a 50% reduction in customer support cost or a 75% increase in engineering capacity filters billions to the bottom line.
Billion in ARR GitLab is growing 30% at $730m ARR Microsoft Azure, Google Cloud are on fire, fueled by AI But others are seeing more headwinds due to downturns in the “B2B2B” segment of tech. Not Directly Seeing Revenue Benefits from AI Workloads Yet AI isn’t benefiting Mongo yet directly. #5.
Cloud Capex in Q1 AWS $14 billion Azure $14 billion Google Cloud $12 billion These are not one-time investments, but part of a broader trend that started to occur after the introduction of GPT 3 in mid-2020 Amazon was the first to invest significantly. Each of these businesses are large enough to justify it.
Both Google & Microsoft announced growth rates in GCP & Azure that held steady from one quarter to the next. There are two forces in tension : overall cost reduction efforts by companies & the desire to invest in AI. The desire for AI is broad. The acceleration is really quite broad.
With a PLG-heavy background, first working at Microsoft Azure and again with Atlassian, the PLG pioneers, he gives insights into leveraging PLG for the growth of your organization. Atlassian, Microsoft Azure, and Zoom are good examples of that. Leverage AI to assist sales. Whichever you choose will be a strategic decision.
We saw moderated consumption growth in Azure and lower-than-expected growth [elsewhere]. Segment Expected Growth Productivity 12% Office Commercial 6% Office On-Premise -25% LinkedIn 5% Dynamics 13% Intelligent Cloud 18% Azure 26% Server -3% Services -3% 2. At some point, the optimizations will end.
Just about everything in Cloud, SaaS and AI is firing on all cylinders at Microsoft: Azure and Cloud up +30% (!) 60,000 AI-on-Azure Customers, and Accelerating — Up a Stunning 60% Year-over-Year We all sort of knew this, but helpful to see the numbers here. #3. But the Cloud and AI side of Microsoft?
It’s worth pointing out that Azure is a bit above the long term trendline, while AWS is still below (but accelerating up). It’s worth pointing out that Azure is a bit above the long term trendline, while AWS is still below (but accelerating up).
Because thats how their customerswho were used to AWS, Azure, and GCP pricingexpected to buy. Enterprise sales require a field presence, strategic account management, and a drive to go where your customers are. Pricing: Keep It Simple (At First) Databricks started with a simple, consumption-based pricing model.
Drift brings Conversational Marketing, Conversational Sales and Conversational Service into a single platform that integrates chat, email and video and powers personalized experiences with artificial intelligence (AI) at all stages of the customer journey.
Subscribe now Cloud Giants Report Q3 ‘23 Not a great signal for software this week from the Cloud Giants (AWS, Azure and Google Cloud)…After Q2 (3 months ago), the tone from the Cloud Giants around optimizations was largely: optimizations have started to ease, and net new workloads have picked up. Staggering scale already.
This is why the consumption players (Snowflake, Mongo, Confluent, Azure, AWS, etc) so more variability in the macro slowdown. This brings me to AI (everything leads to AI these days…). When it comes to AI there is now another BIG culprit in misused ARR which I’m calling ERR (we use this term internally).
AI companies] have a real use case for the cloud which is somewhat different than what we see from some other companies. Today, our largest R2 customer is another AI company using us for exactly the purpose of being a neutral place to store their training data. Yesterday, Cloudflare announced earnings.
" As with many other companies reporting strength in the market, AI & unstructured data workloads are fueling growth. “I don’t even hear the words AI and budget in the same sentence.” “Yes, we actually saw quite a bit of energy coming from the Azure platform this quarter.
2: LinkedIn is Migrating to Microsoft Azure. 3: Microsoft Invests $1 BIllion in OpenAI to Develop AI Technologies on Azure. And ask them if it could happen to you. You will get some scary answers. #2: But it will take 3+ years!! #3: The Cloud Wars continue to heat up. Maybe like nothing we’ve seen before. #4:
” Microsoft on Azure : “And I think last quarter, we said one, we are going to continue to have these cycles where people will build new workloads. So what you're seeing is much more of that continuous cycles by customers, both when it comes to AI or whether it comes to the traditional workloads.”
Generative AI took the consumer landscape by storm in 2023, reaching over a billion dollars of consumer spend 1 in record time. Over the past couple months, we’ve spoken with dozens of Fortune 500 and top enterprise leaders , 2 and surveyed 70 more, to understand how they’re using, buying, and budgeting for generative AI.
Microsoft has launched Microsoft Syntex, a rebranding of the application as the company transforms it into a set of content apps, low-code tools and services that uses AI to streamline how organizations work with content. To read this article in full, please click here
Microsoft has gone all in on artificial intelligence (AI), pouring $10 billion in the OpenAI startup — and that’s just the opening gambit. AI will reap many billions in revenue for the company, particularly its cloud business. Yesterday it unveiled plans to add AI to Bing in a bid to take market share from Google.
Microsoft and Oracle are partnering in the cloud, allowing their customers to run enterprise workloads across Microsoft Azure and Oracle Cloud. Users can run one part of a workload within Azure and another part in Oracle Cloud. To read this article in full, please click here
They addressed the top concern for CISOs: the impact of generative AI on enterprise security. Here’s what they had to say about the key considerations for technology adoption and strategies CISOs can employ to navigate the rise of AI-driven security solutions: 1. What is the biggest security threat that enterprises face today?
Cloud Giants Report Q2 We also got the Q2 quarters from AWS / Azure / GCP this week! Our expectation, obviously again, is that we are going to significantly increase our investments in AI infrastructure next year, and we'll give further guidance as appropriate.”
Hyperscaler Preview Next week Amazon, Microsoft and Google report earnings and we’ll see Q3 data for AWS, Azure and Google Cloud. These are thought to be the early AI winners, largely due to all of the compute they’re selling to power GenAI applications.
This conversation is part of our AI Revolution series, which features some of the most impactful builders in the field of AI discussing and debating where we are, where we’re going, and the big open questions in AI. Find more content from our AI Revolution series on www.a16z.com/AIRevolution.
Microsoft announced earnings yesterday & the data painted a brilliant picture for the future of AI. The AI subset is on a $13b run rate, more than double last year. Azure other cloud services revenue grew 31%. 300b of RPO is basically the next 2 years of Azure revenue already committed. .
AWS (Amazon), Azure (Microsoft), and Google Cloud (Google) all reported this week. Azure reported on Tuesday and gave us that glimmer of hope. Azure : Coming into the quarter, a growth rate that would have satisfied the market would have been ~29%. Azure came in at 31% (constant currency). Follow along to stay up to date!
In comparing the two most recent Microsoft earnings calls, Claude highlighted: faster than expected Azure growth (29% vs 27%) AI contributing 8% of Azure revenue up from 7% higher CapEx spending & greater capacity constraints for data centers much better commercial bookings growth : 17% vs 13% Excellent analysis.
Who are the real AI winners. It looks at the YoY dollar change in quarterly revenue from the hyperscalers (just looking at Azure / AWS because the data goes back further) going back a few years. My hope is that this analysis can provide startup entrepreneurs with a framework for how to manage their businesses around SaaS metrics (e.g.,
When I think about the monetization of AI (and which “layers” monetize first) I’ve always thought it would follow the below order, with each layer lagging the one that comes before it. Model providers (OpenAI, Anthropic, etc as companies start building out AI). 2024 will be the year of AI applications!
This conversation is part of our AI Revolution series, which features some of the most impactful builders in the field of AI discussing and debating where we are, where we’re going, and the big open questions in AI. Find more content from our AI Revolution series on www.a16z.com/AIRevolution. Ali: Enterprises move slow.
This can lead to an airpocket of valuation as companies transition to a different primary valuation metric Outside of the hypserscalers (Azure, AWS, GCP) who have uniquely benefited from AI revenue (mainly selling compute), everyone else has largely struggled. Coming in to Q1 there was broader optimism. Q4’s were generally good!
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