AI Software

AI Software

AI Software covers the layer of the AI stack above the chip: the labs that build foundation models (OpenAI, Anthropic, Google DeepMind, xAI, Meta, Mistral, DeepSeek, Qwen), the cloud and inference platforms that serve those models at scale (Azure AI, AWS Bedrock, Vertex AI, CoreWeave, Nebius, Together, Fireworks), the data and ML platforms that connect models to enterprise data (Databricks, Snowflake, MongoDB, HuggingFace, Scale), and the application companies that turn intelligence into product (ChatGPT, Cursor, Perplexity, Glean, Harvey, Sierra, Adobe Firefly, Salesforce Agentforce, Microsoft 365 Copilot). The sector spans both the frontier-lab revenue race and the much larger pool of AI revenue embedded inside Big Tech earnings, plus a fast-growing private-company universe that includes most of the highest-valued AI startups.

Updated 2026-05-15
AI Software

AI Software at a Glance

Sector-wide signals from late 2025 and early 2026.
  • OpenAI annualized run-rate hit approximately $13B by late 2025, more than tripling year-over-year, per The Information and Reuters reporting.
  • Anthropic annualized run-rate reached approximately $5B by mid-2025, up from $1B at YE 2024, driven by enterprise API growth.
  • Microsoft Azure AI services contributed approximately 13 percentage points to Azure growth in FY2025-Q4, up from 6 to 7 points in FY2024 early quarters.
  • ChatGPT reached approximately 800M weekly active users in late 2025, the largest disclosed user base for any AI product.
  • Google Cloud served approximately 480T tokens per month as disclosed at I/O 2025, up from 9.7T per month a year earlier (roughly 50x).
  • DeepSeek R1 (Jan 2025) marked the inflection point on the open-versus-closed gap; open-weights models now sit within striking distance of closed-API leaders on most benchmarks.
  • McKinsey State of AI 2024: 72% of organizations report using AI in at least one business function (up from 55% in 2023).

AI Software Supply Chain: Who Does What

The four-layer AI software stack: compute (cross-referenced to AI Chips), foundation models, cloud and inference, and applications. Hover cells for details. Compute-layer companies link out to the AI Chips sector for canonical coverage.
Compute & Data Centers
Foundation Models
Cloud & Inference
Applications
Compute & Data Centers
Foundation Models
Cloud & Inference
Applications
NVIDIA logoNVIDIA
AMD logoAMD
Broadcom logoBroadcom
TSMC logoTSMC
CoreWeave logoCoreWeave
Nebius logoNebius
OpenAI logoOpenAI
Anthropic logoAnthropic
Google DeepMind / Alphabet logoGoogle DeepMind / Alphabet
Microsoft logoMicrosoft
Amazon logoAmazon
Meta logoMeta
xAI logoxAI
Mistral logoMistral
DeepSeek logoDeepSeek
Alibaba (Qwen) logoAlibaba (Qwen)
Oracle logoOracle
Together AI logoTogether AI
Fireworks AI logoFireworks AI
Crusoe logoCrusoe
Databricks logoDatabricks
Snowflake logoSnowflake
MongoDB logoMongoDB
Hugging Face logoHugging Face
Salesforce logoSalesforce
ServiceNow logoServiceNow
Adobe logoAdobe
Palantir logoPalantir
Cursor (Anysphere) logoCursor (Anysphere)
Perplexity logoPerplexity
Glean logoGlean
Harvey logoHarvey

Solid bars = active in this stage. Faded = notable relationship but not primary business. Compute-layer companies cross-link to the AI Chips sector for canonical coverage.

Structural Chokepoints

NVIDIA dominance on training-grade GPUs

NVIDIA holds approximately 80% or more of AI accelerator share through 2025. AMD MI300 and MI350 plus hyperscaler custom silicon (Google TPU, AWS Trainium, Microsoft Maia, Meta MTIA) chip away at the edges, but training every frontier model in 2024 and 2025 has been dominated by NVIDIA H100/B200.

TSMC monopoly on leading-edge nodes

Every meaningful AI accelerator at 3nm and 2nm is manufactured by TSMC. Samsung Foundry and Intel Foundry have not closed the gap for the volumes that matter.

HBM duopoly (SK Hynix and Samsung)

HBM3E and HBM4 supply is concentrated in SK Hynix and Samsung, with Micron ramping. Multi-quarter HBM allocation visibility has been a binding constraint on accelerator output through 2024 and 2025.

US export controls (BIS) on advanced compute

Successive BIS rules restrict H100, H200, B200, and equivalents to China; the AI Diffusion Framework (paused in 2025) would have tiered global cloud access. Affects Chinese frontier-lab training trajectories and reshapes global GPU flow.

Power and data center capacity

Northern Virginia, Phoenix, and Texas have become the primary AI data center clusters; grid interconnect queues stretch 4 to 7 years. Nuclear PPAs (Constellation-Microsoft, Vistra-AWS) and behind-the-meter gas (Crusoe, Stargate) are emerging as constraint releases.

Licensed training data

NYT v. OpenAI, Authors Guild, Getty, RIAA v. Suno and Udio plus licensing deals (Reddit, NewsCorp, AP) are still unresolved. Outcomes could materially raise training-data unit costs for closed-API labs.

Global AI Market Size by Analyst

Annual global AI market size, USD billions, 2020 to 2030E. Spread between IDC, Gartner, and Bloomberg Intelligence reflects scope differences (IDC: hardware plus software plus services; Gartner: software only; BI: GenAI everything), not analyst disagreement. McKinsey's economic-potential figure is shown separately because it measures value created, not vendor revenue captured.

McKinsey GenAI Economic Potential (not vendor revenue)

$2.6T to $4.4T per year

McKinsey's June 2023 report The Economic Potential of Generative AI: The Next Productivity Frontier estimated $2.6T to $4.4T in annual economic value across 63 use cases at full adoption. The 2024 follow-up edged the bottom of the range up. This is an addressable economic value (savings plus revenue uplift across all enterprises), NOT a vendor revenue figure. Shown here for cross-reference only; do not directly compare to the IDC, Gartner, or Bloomberg vendor-revenue figures.

Annual global AI software market size, USD billions, 2020 to 2030E. Spread reflects scope differences (IDC includes services, Gartner is software-only, BI captures GenAI broadly), not analyst disagreement on direction. Click legend pills to toggle series. Hover the points for per-row notes.

Big Tech AI Revenue Contribution (management-disclosed only)

Quarterly AI contribution per hyperscaler. Only management-disclosed numbers are shown. Microsoft cites Azure AI growth as a points contribution; Amazon, Alphabet, Oracle, Meta, and Apple have not published a quarterly dollar figure. Their rows show the latest earnings-call characterization, not zero. No third-party estimates are used.

Microsoft Azure AI Growth Contribution (disclosed)

Percentage points contributed to Azure-and-other-cloud-services growth, per Satya Nadella on each quarterly earnings call.

Other Hyperscalers: Not Disclosed by Management

Amazon (Bedrock + Q)

Not disclosed

Bedrock and generative AI run-rate. AMZN Q4-2025 earnings call, early Feb 2026 (Andy Jassy). Continued multi-billion-dollar framing.

Alphabet (Vertex + Gemini)

Not disclosed

Google Cloud AI mention. Alphabet Q4-2025 earnings call.

Oracle (OCI GenAI)

Not disclosed

OCI GenAI bookings. ORCL FY2026-Q3 earnings call (typically reported mid-March).

Meta

Not disclosed

AI not broken out. META Q4-2025 earnings call.

Apple Intelligence

Not disclosed

Apple Intelligence not disclosed. Apple does not disclose AI revenue.

Milestone Disclosures

  • 2025-01-29Microsoft. AI business at $13B annual run-rate, up 175% year over year. (MSFT FY2025-Q2 earnings call (Satya Nadella))
  • 2024-10-30Microsoft. Azure AI services contributed approximately 12 points to Azure-and-other-cloud-services growth. (MSFT FY2025-Q1 earnings call)
  • 2024-08-01Amazon. Generative AI cited as multi-billion-dollar revenue run-rate growing triple-digit percent year over year. (AMZN Q2-2024 earnings call (Andy Jassy))
  • 2025-04-24Alphabet. Google Cloud grew 28% year over year; Vertex AI and Gemini API cited as drivers; AI Overviews scaling globally. (Alphabet Q1-2025 earnings call (Sundar Pichai))

Only management-disclosed numbers are included. Microsoft cites Azure AI as a points contribution to Azure-and-other-cloud-services growth. Amazon, Alphabet, Oracle, Meta, and Apple have not published a quarterly AI dollar figure; their rows show the latest earnings-call characterization, not zero. No third-party estimates are used in this table.

Top 20 by AI-Attributable Revenue

Companies ranked by estimated AI-attributable revenue, calendar 2024 actuals and 2025E. Mix of management-disclosed figures and clearly-marked estimates. NVIDIA is included for relative-scale context and cross-links to the AI Chips sector. Apple, Meta, Alphabet, Amazon, Databricks, and Mistral do not disclose standalone AI revenue.
#CompanyCategory2024 AI Revenue2025E AI Revenue
1

NVIDIA

Cross-reference to AI Chips sector. Included in this table for relative-scale context only.

Compute$97B$150B
2

Microsoft (Azure AI plus Copilot)

Big Tech AI$13B$27B
3

OpenAI

Frontier Lab$4.0B$13B
4

Anthropic

Frontier Lab$800M$5.0B
5

Google Cloud AI (Vertex plus Gemini API plus Workspace AI)

Big Tech AIn/dn/d
6

AWS Bedrock plus Amazon Q plus generative AI services

Big Tech AIn/dn/d
7

Adobe (Firefly plus AI Assistant)

Enterprise Horizontal$400M$700M
8

Palantir (AIP plus US Commercial)

Enterprise Horizontal$400M$800M
9

Salesforce (Agentforce plus Einstein)

Enterprise Horizontal$300M$900M
10

IBM watsonx

Big Tech AI$300M$600M
11

Midjourney

Consumer App$300M$500M
12

GitHub Copilot

Coding$250M$500M
13

ServiceNow (Now Assist)

Enterprise Horizontal$200M$500M
14

Databricks

Data Platformn/dn/d
15

ElevenLabs

Consumer App$100M$200M
16

Perplexity

Consumer App$50M$150M
17

Cursor (Anysphere)

Coding$50M$200M
18

Glean

Enterprise Horizontal$60M$200M
19

Mistral

Frontier Labn/dn/d
20

Harvey

Vertical AI$30M$80M

Top 20 entities by AI-attributable revenue, calendar 2024 actuals and 2025E. Hover the figures for per-row sourcing notes. n/d = not disclosed (Alphabet, Amazon, Meta, Apple, Databricks, Mistral). NVIDIA is included for relative-scale context; canonical coverage lives in the AI Chips sector.

AI Software Regulatory Snapshot

Major AI software regulatory milestones, enforcement programs, and copyright suits. EU AI Act, US EO 14179, Colorado AI Act, BIS export controls, EU/UK/US AISI evaluation programs, CAC model registration regime, plus the unresolved NYT, Authors Guild, Getty, and RIAA litigation. Click any card for the originating source.
China2023-01-10

China Deep Synthesis Provisions

CAC Deep Synthesis Provisions require labelling of synthetic media, algorithm registration, and real-name registration of users. Together with the 2022 Algorithm Recommendation Provisions, sets the architecture for China's AI model registration regime that pre-dates the EU AI Act.

Cyberspace Administration of China
China2023-08-15

CAC Generative AI Measures take effect

Cyberspace Administration of China (CAC) issues Interim Measures for the Management of Generative AI Services. Public-facing GenAI services must complete CAC algorithm registration, security assessment, and content moderation aligned with socialist core values. Foundational to subsequent CAC enforcement against domestic LLM providers.

Cyberspace Administration of China
EU2024-08-01

EU AI Act enters into force

The EU AI Act enters into force after publication in the Official Journal on 12 July 2024. The Act introduces a risk-tiered framework (prohibited, high-risk, limited-risk, minimal-risk) and a separate regime for general-purpose AI (GPAI) models. Most obligations phase in over 6 to 36 months.

Official Journal of the European Union
EU2025-02-02

EU AI Act prohibitions take effect

Article 5 prohibitions become applicable: social scoring, manipulative AI, exploitation of vulnerabilities, untargeted facial-recognition scraping, certain real-time remote biometric identification in public, emotion recognition at work or school, and predictive policing based solely on profiling.

European Commission Digital Strategy
EU2025-08-02

EU AI Act GPAI obligations apply

General-purpose AI model obligations apply: technical documentation, training-data summaries, copyright policy, and systemic-risk obligations for the largest models (FLOPs threshold of 10 to the 25th). The Commission's AI Office and the GPAI Code of Practice are the primary instruments.

European Commission AI Office
EU2025-08-02

EU AI Office becomes operational

The EU AI Office (inside DG Connect) coordinates enforcement of the AI Act's GPAI provisions, the GPAI Code of Practice, and the AI Pact voluntary regime. Performs model evaluations and oversees the systemic-risk GPAI category.

European Commission AI Office
EU2026-08-02

EU AI Act high-risk obligations apply

Most high-risk AI system obligations become enforceable: conformity assessments, risk management systems, data governance, human oversight, post-market monitoring, and registration in the EU database. Covers credit scoring, hiring, education, critical infrastructure, law enforcement, and biometrics.

European Commission Digital Strategy
EU2027-08-02

EU AI Act embedded high-risk obligations apply

Final phase: high-risk obligations extend to AI systems embedded as safety components in products already regulated under EU product-safety law (medical devices, machinery, toys, vehicles). Completes the multi-year AI Act compliance ramp.

European Commission Digital Strategy
UK2023-11-02

UK AI Safety Institute established

Established at the Bletchley Park AI Safety Summit, the UK AI Safety Institute (AISI) became the first government-backed body to evaluate frontier model capabilities and safety. AISI has signed pre-deployment evaluation agreements with OpenAI, Anthropic, Google DeepMind, Microsoft, and Meta. Renamed AI Security Institute in early 2025.

UK Government
US2023-09-19

Authors Guild v. OpenAI filed

The Authors Guild and 17 named authors (including George R.R. Martin, John Grisham, Jodi Picoult) file a class action against OpenAI in S.D.N.Y. for use of copyrighted books in training data. Consolidated with related class actions in 2024.

Court Listener (case 1:23-cv-08292)
US2023-12-27

NYT v. OpenAI and Microsoft filed

The New York Times sues OpenAI and Microsoft in S.D.N.Y., alleging mass copyright infringement in training data and output regurgitation. Most-watched AI copyright case; OpenAI's motion to dismiss was largely denied in 2024, with discovery proceeding into 2025 and 2026.

Court Listener (case 1:23-cv-11195)
US2024-02-08

US AI Safety Institute established

NIST established the US AI Safety Institute (US AISI) inside NIST, with voluntary pre-deployment testing agreements signed with OpenAI and Anthropic in August 2024. Mandate under review following the rescission of EO 14110 and the 2025 AI Action Plan.

NIST
US2024-06-24

RIAA v. Suno and Udio filed

The Recording Industry Association of America (Sony Music, UMG, Warner) sues Suno (D. Mass.) and Udio (S.D.N.Y.) alleging mass training-data infringement of sound recordings. First major music-industry test of generative AI training-data liability.

RIAA press release
US2025-01-13

BIS AI Diffusion Framework published

The Bureau of Industry and Security (BIS) publishes the Interim Final Rule on AI Diffusion: tiered global access to advanced AI compute and model weights via a country-cap and Validated End User regime. Builds on October 2022 and October 2023 export-control rules targeting H100, H200, B200 sales to China. Subsequently paused for further review under the Trump administration.

BIS Federal Register
US2025-01-23

Trump signs EO 14179, rescinds Biden AI EO 14110

Executive Order 14179 (Removing Barriers to American Leadership in Artificial Intelligence) rescinds Biden's EO 14110 (Oct 2023) and directs OSTP and OMB to draft a new AI Action Plan within 180 days. Centerpiece: deregulatory posture, reduced reporting requirements, focus on US competitive position versus China.

The White House
US2025-07-23

White House releases AI Action Plan

The OSTP and OMB release the AI Action Plan called for by EO 14179. Plan emphasizes federal-procurement preference for American AI, accelerated permitting for data centers, reform of NIST AI Safety Institute mandate, and limited federal preemption of state AI laws (notably Colorado AI Act).

The White House Office of Science and Technology Policy
US-Colorado2026-02-01

Colorado AI Act takes effect

Colorado SB 24-205 becomes the first US comprehensive AI consumer-protection law to take effect. Imposes duty of reasonable care on developers and deployers of high-risk AI systems (used in consequential decisions: hiring, lending, housing, education, healthcare, insurance, legal services). Requires impact assessments and consumer notice and appeal rights.

Colorado General Assembly
US-UK2023-02-03

Getty Images v. Stability AI

Getty Images files parallel suits in the High Court of Justice (UK) and the District of Delaware against Stability AI over Stable Diffusion training data. UK trial proceeded in mid-2025; US Delaware case advanced into discovery. Landmark test of image-training copyright liability.

Court Listener (case 1:23-cv-00135)

Major AI software regulatory milestones, enforcement programs, and unresolved copyright suits. Click any card for the originating source. Sorted by jurisdiction then date.

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