Gitnux/Report 2026

Artificial Intelligence Industry Statistics

AI adoption jumped from 55% in 2022 to 72% of companies using it in at least one function in 2023, while 65% of organizations already use generative AI in business by early 2024. You will see how fast investment and impact are moving, from generative AI funding up to $25.2 billion in 2023 to the scale of model building and job market disruption.
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November 10, 2026Updated
Artificial Intelligence Industry Statistics
Samuel NorbergWritten by Samuel Norberg·Edited by Henrik Dahl·Fact-checked by Astrid Bergmann
Published ·Updated
How this report is researched
01Editorial Scope

Gitnux editors write the brief first: the topic, the inclusion rules, and the frame for what belongs.

02Source Research

Agents search the published record and log every extracted figure back to the passage it came from.

Read our full methodology →

Search agents attach provenance to every extracted figure.

Next review: within 39 days

01 Industry overview

The artificial intelligence industry at a glance

Artificial intelligence has become a large-scale investment and adoption industry: global AI spending is forecast to reach $2.7 trillion in 2026, while 88% of surveyed organizations report using AI.

$2.7T[33]
Global AI spending, 2026
49.5%[33]
AI spending growth, 2026
$344.7B[1]
Private AI investment, 2025
88%[1]
Organizations adopting AI, 2025
Market size
Worldwide spending on artificial intelligence is forecast at $2.67 trillion in 2026, compared with $1.79 trillion in 2025. AI infrastructure is the largest spending category at $1.48 trillion in 2026, followed by AI services at $576.5 billion and AI software at $461.6 billion.[33]
Forecast & CAGR
Gartner forecasts total AI spending to rise from $2.67 trillion in 2026 to $3.64 trillion in 2027, equivalent to approximately 36.2% one-year growth. Gartner’s longer-range forecast published in December 2025 projected AI spending of $4.7 trillion by 2029 and 44% growth in 2026.[33]
Market share & regions
The United States remains the leading national market for private AI investment: U.S. private AI investment reached $285.9 billion in 2025, compared with $12.4 billion in China. In the EU, 19.95% of enterprises used AI technologies in 2025; adoption was highest in Denmark at 42.0%, followed by Finland at 37.8% and Sweden at 35.0%.[1][4]
Segmentation
Gartner’s 2026 spending breakdown includes AI infrastructure at $1.48 trillion, AI services at $576.5 billion, AI software at $461.6 billion, AI cybersecurity at $51.3 billion, AI agents and assistants at $29.2 billion, and generative AI models at $28.3 billion. Within enterprise adoption, the most common EU use in 2025 was analysing written language, reported by 11.8% of enterprises, followed by generating pictures, video or audio at 9.5%.[33][4]
Key players & concentration
Industry produced more than 90% of notable frontier AI models in 2025, indicating strong concentration of frontier-model development among commercial laboratories. The United States also recorded 1,953 newly funded AI companies in 2025, more than 10 times the next-highest country.[1]
Pricing
Worldwide end-user spending on AI models and platforms is projected to reach $64 billion in 2026, up 63.4% from $39 billion in 2025. Spending on generative AI models is forecast to grow 117% in 2026, while AI platform spending is forecast to increase 36.9%.[33]
Trends, drivers & challenges
AI infrastructure is driving the investment cycle: providers are expected to spend nearly $1 trillion on AI infrastructure in 2026 and a further $6 trillion from 2027 through 2030. Gartner estimates that more than $3.5 trillion of infrastructure spending could be exposed to impairment by the end of 2030 if AI revenues do not support current capital-spending plans.[33]
Consumer behavior & competition
Generative AI reached 53% population adoption within three years, according to Stanford HAI, while four in five university students used generative AI in 2025. In the EU, AI adoption was 55.03% among large enterprises, 30.36% among medium-sized enterprises and 17% among small enterprises in 2025, showing a substantial scale advantage for larger firms.[1][4]
M&A
Global corporate AI investment reached $581.69 billion in 2025, including $214.44 billion in mergers and acquisitions. Recent strategic activity includes Google’s completion of its acquisition of Wiz on March 11, 2026, strengthening cloud and AI security capabilities.[1][74]
Regulation
The EU AI Act became broadly applicable on August 2, 2026, when transparency obligations began applying to certain interactive AI systems and AI-generated or manipulated content. Rules for high-risk AI systems in sensitive use cases are scheduled to apply from December 2, 2027, while rules for high-risk AI embedded in regulated products are scheduled for August 2, 2028.[78][4]
Latest news
In September 2026, Gartner raised its worldwide AI-spending forecast to $2.7 trillion for 2026, representing 49.5% year-over-year growth. In October 2026, Gartner warned that more than $3.5 trillion of AI infrastructure spending could be exposed to impairment by the end of 2030.[33]

02 Ranking

Top 10 Companies in the Artificial Intelligence Industry

The leading companies in the artificial intelligence industry, ranked on market impact, performance, momentum, innovation and brand popularity.

Updated November 10, 2026 · Next review December 10, 2026

Verdict

NVIDIA leads Gitnux's 2026 artificial intelligence ranking with an Overall score of 9.6, driven by FY2026 Data Center revenue reached $193.7B. Microsoft is the highest-ranked cloud and enterprise AI platform provider at 9.5, backed by fiscal 2025 R&D at 12% of revenue and operating margin 45.62%.

Ranked by Overall score · How we score ↓

Editor's top 3 picks

Where to start, by need.

  1. #1 Overall · Leader in AI accelerators

    NVIDIA

    US

    Ranked #1 · 9.6 · AI accelerators

    Why we picked it: Its AI accelerators and networking support data-center spend, reflected in $193.7B Data Center revenue.

    See in ranking ↓Visit nvidia.com ↗

  2. Leader in AI cloud platforms

    Microsoft

    US

    Ranked #2 · 9.5 · AI cloud platforms

    Why we picked it: Its Azure and Copilot delivery model is reflected in 12% R&D of revenue and 45.62% operating margin.

    See in ranking ↓Visit microsoft.com ↗

  3. Leader in AI models & APIs

    OpenAI

    US

    Ranked #3 · 9.5 · AI models & APIs

    Why we picked it: Its model and API offering shows via ChatGPT scale, exceeding one billion weekly users.

    See in ranking ↓Visit openai.com ↗

Pick 1 is the #1 company overall. Picks 2 and 3 are the highest-ranked companies in the top 5 that add a new segment.

Full ranking

Sort by
Top 10 companies in the artificial intelligence industry, 2026 – Gitnux ranking
#CompanyOverall ↓Company snapshot
1

NVIDIA

AI accelerators · US

9.6
2

Microsoft

AI cloud platforms · US

9.5
3

OpenAI

AI models & APIs · US

9.5
4

Meta Platforms

Generative AI software · US

9.5
5

Alphabet

AI cloud platforms · US

9.4
6

AMD

AI accelerators · US

9.3
7

Anthropic

Generative AI software · US

9.2
8

CoreWeave

AI infrastructure providers · US

8.3
9

Baidu

AI cloud platforms · CN

8.0
10

Alibaba Group

AI cloud platforms · CN

7.8

How we score

  • Impact (30%): scale and weight in the market (revenue, market share, employees, market position).
  • Performance (20%): recent revenue growth and operating margin; an analyst assessment where a company does not publish them.
  • Momentum (20%): growth trajectory and future potential.
  • Innovation (15%): R&D intensity and how technologically advanced the company is.

Popularity (brand search demand, 15%) counts toward Overall but is not published as a column. Overall leaves out what is not known.

Scale Scores are shown on a 7–10 scale with one decimal; bars start at 7.0.

Cadence Recalculated when new figures are published; next review December 10, 2026.

Independence. Rankings are editorially independent. Scores, ranks, picks and the verdict follow the method above; no company can pay to change them.

Cite this ranking

APA

Samuel Norberg. (2026, February 13). Top 10 companies in the artificial intelligence industry. In Artificial Intelligence Industry Statistics. Gitnux. https://gitnux.org/artificial-intelligence-industry-statistics/#top-companies

report visual · Comparison

Revenue of the largest artificial intelligence companies

Alphabet leads with $403.0B in annual revenue (group level, converted to USD).

Alphabet$403.0B
Microsoft$281.7B
NVIDIA$215.9B
Meta Platforms$201.0B
AMD$34.6B
source-verifiedabc.xyz · microsoft.com · investor.nvidia.com · sec.gov · ir.amd.com2026

04 Statistics

Technology & Innovation

Private and corporate investment figures show sustained capital formation, including $344.7B in private AI investment in 2025 and 88% AI use in 2025.

AI in the artificial intelligence industry

  • $9.3 billion was invested privately in AI in China in 2024.[1]
  • $33.9 billion was invested privately in generative AI globally in 2024.[1]
  • 88% of surveyed organizations used AI in at least one business function in 2025.[1]
  • 70% of surveyed organizations used generative AI in at least one business function in 2025.[1]
  • $4.5 billion was invested privately in AI in the United Kingdom in 2024.[1]
  • $252.3 billion in corporate AI investment was recorded globally in 2024, including private investment and mergers and acquisitions.[1]

Automation in the artificial intelligence industry

  • 12% of real household tasks were successfully completed by robots in 2025.[1]
  • 450,000 weekly trips were provided by Waymo across five United States cities in 2025.[1]
  • 26,000 professional-cleaning service robots were installed worldwide in 2024.[1]
  • 19,000 agricultural service robots were installed worldwide in 2024.[1]
  • 11 million fully driverless rides were completed by Apollo Go in China in 2025.[1]
  • 33% growth in industrial-robot installations was recorded in Taiwan between 2023 and 2024.[1]

Digital Transformation in the software and IT services sector (sector benchmark)

  • 45% of North American technology and business decision-makers planned to adopt AI and machine learning to improve business within 12 to 24 months.[2]
  • 34% of surveyed organizations globally identified replacing or upgrading legacy technology as a top digital-transformation goal in 2024.[2]
  • 54.8% of surveyed organizations reported having a chief digital officer or another executive responsible for digital transformation.[3]
  • 72% of digital leaders globally expected to increase technology spending in 2024, compared with 50% of digital laggards, according to a survey of 855 technology and business decision-makers.[2]
  • 75% of digital leaders globally planned to increase AI-related business expenditure in 2024.[2]

Technology Adoption in the software and IT services sector (sector benchmark)

  • 57.7% of surveyed organizations reported having a chief information security officer or equivalent in 2024.[3]
  • 51.8% of surveyed organizations reported that AI solutions were somewhat or extremely rare in 2024.[3]
  • More than 50% of surveyed global IT decision-makers were exploring AI use cases or piloting AI technologies in 2024.[2]
  • 67.6% of IT services were delivered through cloud infrastructure among surveyed organizations in 2024.[3]

Cloud Computing in the software and IT services sector (sector benchmark)

  • 85.2% of EU enterprises using paid cloud services used them for email in 2025.[4]
  • 71.5% of EU enterprises using paid cloud services used them for file storage in 2025.[4]
  • 65.5% of EU enterprises using paid cloud services used them for security software applications in 2025.[4]
  • 26.1% of EU enterprises using paid cloud services used computing platforms for application development, testing or deployment in 2025.[4]
  • 71.7% of EU enterprises using paid cloud services used them for office software in 2025.[4]
  • 52.7% of EU enterprises with at least 10 employees used paid cloud-computing services in 2025.[4]

Big Data in the software and IT services sector (sector benchmark)

  • 14% of enterprises with at least 10 employees across the OECD used big-data analytics on average, based on 2022 data or the latest available year.[5]
  • 3% was the lowest reported enterprise adoption rate for big-data analytics across OECD countries in the latest available data through 2023.[5]
  • 40% was the highest reported enterprise adoption rate for big-data analytics across OECD countries in the latest available data through 2023.[5]

05 Statistics

Data & Analytics

Adoption is broad but operational quality varies: 46% of organizations rated data excellent for accuracy and integrity in 2025.

Business intelligence in the artificial intelligence industry

  • 38% of media and telecommunications organizations used AI in IT in 2025 worldwide.[6]
  • 49% of technology-sector organizations used AI in marketing and sales in 2025 worldwide.[6]
  • 46% of media and telecommunications organizations used AI in service operations in 2025 worldwide.[6]
  • 43% of financial-services organizations used AI in risk, legal and compliance in 2025 worldwide.[6]
  • 38% of financial-services organizations used AI in service operations in 2025 worldwide.[6]
  • 58% of business, legal and professional-services organizations used AI for knowledge management in 2025 worldwide.[1]

Data analytics in the artificial intelligence industry

  • 28% of organizations running AI/ML workloads on Kubernetes used batch model inferencing in 2025.[7]
  • 70% of organizations used generative AI in at least one business function in 2025 worldwide.[1]
  • 12% of organizations running AI/ML workloads on Kubernetes used hyperparameter tuning in 2025.[7]
  • 88% of surveyed organizations reported using AI in 2025 worldwide.[1]
  • 40% of organizations running AI/ML workloads on Kubernetes used data preprocessing in 2025.[7]
  • 12% of organizations running AI/ML workloads on Kubernetes used feature engineering in 2025.[7]

Data Quality in the software and IT services sector (sector benchmark)

  • In 2024, 95% of enterprise data leaders and practitioners reported a data-quality issue with a direct impact on business outcomes, across companies with at least $1 billion in revenue.[8]
  • In 2025, 34% of organizations globally rated their data excellent for relevance and suitability, across surveyed technology and business organizations.[9]
  • In 2025, 46% of organizations globally rated their data excellent for accuracy and integrity, across surveyed technology and business organizations.[9]
  • In 2025, 35% of organizations globally rated their data excellent for consistency and standardization, across surveyed technology and business organizations.[9]
  • In 2025, 43% of organizations globally rated their data excellent for quality and completeness, across surveyed technology and business organizations.[9]
  • In 2025, 46% of organizations globally said they were fully confident in their data quality, across surveyed technology and business organizations.[9]

Data Governance in the software and IT services sector (sector benchmark)

  • In 2024, 32% of global technology leaders prioritized data governance among their data-management areas for the next 12 months.[10]
  • In 2026, 76% of global data leaders said their company’s AI governance did not completely keep pace with employee use of AI technology.[11]
  • In 2024, 35% of U.S. technology executives prioritized data governance among their data-management areas for the next 12 months.[10]
  • In 2024, 81.7% of organizations reported having no data-governance or catalog solution as part of their governance program, according to a global governance study.[11]
  • In 2024, 18.3% of organizations reported having a data-governance or catalog solution as part of their governance program, according to a global governance study.[11]
  • In 2024, 61% of supply-management organizations reported having a dedicated data-governance function, based on an Institute for Supply Management survey.[12]

KPIs in the artificial intelligence industry

  • 49% of organizations using AI in service operations reported cost savings in 2024.[1]
  • 41% of organizations using AI in software engineering reported cost savings in 2024.[1]
  • 90% of technology leaders said their organizations struggled to measure return on investment from technology investments in 2025.[13]
  • 71% of organizations using AI in marketing and sales reported revenue gains in 2024.[1]
  • 29% of executives said they could measure AI return on investment confidently in late 2025.[13]
  • 43% of organizations using AI in supply-chain management reported cost savings in 2024.[1]

06 Statistics

Strategy & Growth

AI ecosystem activity stays active, with $109.3B venture capital investment in 2025 for AI infrastructure and hosting firms.

Growth in the artificial intelligence industry

  • AI infrastructure and hosting firms attracted $47.4 billion in venture capital investment in 2024.[5]
  • AI mergers and acquisitions increased 12.1% in 2024, according to the Stanford AI Index.[1]
  • EU enterprises using AI increased from 13.5% in 2024 to 20.0% in 2025.[4]
  • The number of UK AI companies increased 58% from 2023 to 5,862 active companies in 2024.[14]
  • AI infrastructure and hosting firms attracted $109.3 billion in venture capital investment in 2025.[5]
  • Global corporate investment in AI reached $252.3 billion in 2024, while private investment increased 44.5% year over year.[1]

Differentiation in the artificial intelligence industry

  • The average size of open-weight models increased 17-fold between 2019 and 2025.[15]
  • Quantization among open-weight models increased fivefold between 2019 and 2025.[15]
  • Multimodal generation among open-weight models increased 3.4-fold between 2019 and 2025.[15]
  • Use of mixture-of-experts architectures among open-weight models increased sevenfold between 2019 and 2025.[15]
  • 80% of Hugging Face model downloads in March 2026 were for open-source-licensed models, indicating strong distribution for openly licensed AI models.[5]
  • Open-source-licensed models represented about two-thirds of Hugging Face models with license information in 2026.[5]

Mergers and acquisitions in the artificial intelligence industry

  • The share of US AI acquisitions made by non-AI companies increased from 10% in 2014 to 45% in 2023.[16]
  • AI mergers and acquisitions increased 12.1% globally in 2024.[1]
  • The number of AI-software transactions fell 14% in 2023 compared with 2022.[17]
  • 65 AI acquisitions worth at least $26.7 billion were tracked in 2026 by Race to AGI.[18]
  • The value of AI-software transactions rose approximately 108% in 2023 compared with 2022.[17]
  • 104 AI-software mergers and acquisitions worth approximately $4.9 billion were recorded in 2023.[17]

Strategic partnerships in the artificial intelligence industry

  • The 2026 cloud go-to-market survey found that 63% of independent software vendors were actively using or piloting AI in co-selling or marketplace motions.[19]
  • 138 AI partnerships worth at least $1.4 billion were tracked in 2026 by Race to AGI, with most partnership values undisclosed.[18]
  • ASML and Mistral AI announced a long-term strategic partnership in 2025 covering AI models across ASML’s products, research, development and operations.[20]
  • 16% of independent software vendors in the 2026 cloud go-to-market survey used AI to automate significant portions of co-selling or marketplace activity.[19]
  • Meta announced a $14.3 billion strategic partnership and investment in Scale AI in 2025.[21]
  • 349 S&P 500 companies documented external AI activity through partnerships, investments or acquisitions between 2023 and 2025.[22]

07 Statistics

People & Workforce

Workforce signals show training demand and capability gaps, including 49% of employees saying AI advances outpacing their company’s training capabilities in 2025.

Hiring in the artificial intelligence industry

  • 22% growth occurred in new AI PhD graduates in the United States and Canada between 2022 and 2024.[1]
  • 2,841 United States job postings mentioned ChatGPT in 2023.[1]
  • 4,669 United States job postings mentioned large-language-modeling skills in 2023.[1]
  • 15,410 United States job postings specifically cited generative-AI skills in 2023.[1]
  • 186 large companies entered the scope of the United Kingdom AI sector study in 2025.[14]

Remote Work in the software and IT services sector (sector benchmark)

  • 6% of global respondents worked fully remotely in 2025, defined as spending less than one day per week in the office.[23]
  • 10% of technology-services respondents worked under fully flexible arrangements in 2025, allowing employees substantial control over remote work.[23]
  • 34.8% of global software and IT services respondents worked remotely in 2026, according to the Stack Overflow Developer Survey.[24]
  • 48% of U.S. software and IT professionals surveyed worked remotely in 2026, compared with 21% in France.[24]
  • 84% of technology-services employers agreed in 2025 that the ability to work remotely is important for employee retention.[23]

Hybrid Work in the software and IT services sector (sector benchmark)

  • 56% of IT employees worked in hybrid arrangements in 2025, while 31% were fully remote and 13% attended the office daily.[25]
  • 47% of global respondents worked in hybrid arrangements in 2025, down from 63% in Cisco’s 2022 study.[23]
  • 55% of technology-services respondents worked in a hybrid arrangement in 2025, the highest share among industries measured by Cisco.[23]
  • 52% of U.S. employees with remote-capable jobs worked in hybrid arrangements in May 2026, according to Gallup.[26]
  • 61% of U.S. employees with remote-capable jobs preferred hybrid work in November 2025, compared with 33% preferring fully remote work.[26]

Upskilling in the artificial intelligence industry

  • 49% of United States employees said AI advances were outpacing their company’s training capabilities in 2025.[27]
  • 5% of United States employees were classified as AI-fluent in 2026.[28]
  • 48% of companies offered AI seminars to employees in 2025.[29]
  • 75% of employees said they need AI skills to remain competitive in the job market in 2025.[30]
  • 59% of companies offered AI training to upskill employees in 2025.[29]

Employee Engagement in the software and IT services sector (sector benchmark)

  • 22.2% of global software and IT respondents were happy with their current professional role in 2026, while 32.6% were unhappy.[24]
  • 74% of respondents approved of fully flexible hybrid policies in 2025, the highest positive sentiment among the policy types Cisco measured.[23]
  • 92% of employees ranked collaboration and community as very important aspects of office culture in Cisco’s 2025 global study.[23]
  • 37% of exclusively remote U.S. employees were engaged in May 2026, compared with 34% of hybrid employees and 29% of on-site employees with remote-capable jobs.[26]
  • 54% of exclusively remote U.S. employees were thriving in May 2026, compared with 52% of hybrid employees and 49% of on-site employees with remote-capable jobs.[26]

DEI in the artificial intelligence industry

  • Women’s representation in United Kingdom AI roles fell by 4 percentage points between 2020 and 2024.[14]
  • White students remained the most represented ethnic group among new United States and Canadian computer-science graduates in 2023.[1]
  • 50% of non-AI hires globally went to women in 2025.[31]
  • AI-focused companies had a workforce share of women approximately 5 percentage points lower than comparable non-AI companies in 2025.[31]
  • Asian, Hispanic, and Black or African American representation increased among new United States and Canadian computer-science graduates through 2023.[1]

08 Statistics

Customer & Sales

Governance failures create rollbacks: 74% of surveyed business leaders shut down or rolled back AI customer-communications agents due to governance failures.

Customer experience in the artificial intelligence industry

  • 74% of surveyed business leaders said they had shut down or rolled back AI customer-communications agents because of governance failures.[27]
  • 22% of surveyed companies used AI for customer acquisition in 2023, according to Stanford’s global AI adoption survey.[1]
  • 64.2% of consumers in the United States and Canada rated customer service as good or excellent in 2025, up from 55.3% in 2024, in research covering AI-enabled service experiences.[32]
  • 26% of surveyed companies used AI for contact-center automation in 2023, making it the most commonly reported AI use case by business function.[1]
  • 64% of surveyed customers would prefer companies not use artificial intelligence in customer service, based on a December 2023 survey of 5,728 customers.[33]

Customer retention in the artificial intelligence industry

  • More than 100% long-term net dollar retention was described as achievable by leading self-serve and month-to-month AI companies in 2025.[34]
  • 85% gross retention was reported for AI-native and AI-enabled companies in 2023 in SuccessCOACHING’s AI exposure analysis.[35]
  • 88% gross retention was reported for AI-native and AI-enabled companies in 2022 in SuccessCOACHING’s AI exposure analysis.[35]
  • 13% was the median 2025 churn rate in HSBC Innovation Banking’s SaaS dataset, compared with 16% in 2023 as AI-native solutions had not yet caused broad customer abandonment.[36]
  • 13% was the median SaaS customer churn rate in 2025, down from 16% in 2023, across HSBC Innovation Banking’s SaaS benchmarking dataset that included AI-native software companies.[36]

Customer acquisition in the artificial intelligence industry

  • 43% of 1,030 U.S. consumers who had tried AI tools said they had discovered a new brand through AI in 2026.[37]
  • 57.5% of AI users said chatbots had talked them out of buying a product in Semrush’s 2026 U.S. consumer study.[37]
  • 2.4 percentage points was the increase in visits to a brand’s own website after an AI assistant recommended it, in a 2026 field experiment.[15]
  • 29.09% of U.S. consumers, including AI non-users, said they use AI chatbots for product research in 2026.[37]
  • 49.28% of regular AI-tool users said AI is a product-research source, ahead of friends and family at 49.07% in Semrush’s 2026 U.S. survey.[37]

Customer loyalty in the artificial intelligence industry

  • 45% of consumers globally said they had switched from a previously loyal brand because of its use of artificial intelligence in SAP’s 2026 loyalty research.[38]
  • 73% of customers said companies treat them like individuals rather than numbers, compared with 39% in 2023, in Salesforce’s connected-customer research covering AI-enabled personalization.[39]
  • 31% of consumers said interactions with AI assistants make them feel more loyal toward a brand in SAP’s global 2026 Customer Loyalty Index.[40]
  • 49% of consumers said they would trust a brand more if it disclosed how customer data is used in AI-powered interactions, according to Twilio research.[41]
  • 44% of retail executives worldwide expected generative AI to weaken brand loyalty by 2026 in Deloitte’s 2026 Retail Industry Outlook survey.[42]

Lead generation in the artificial intelligence industry

  • 92% of B2B respondents said lead-acquisition costs had increased over the preceding two years in Slate CX’s 2026 GenAI report.[43]
  • 3 times higher was HubSpot’s conversion rate from leads generated through its AI-answer-engine strategy compared with traditional search.[44]
  • Only 5% of marketing leaders in Slate CX’s 2026 B2B GenAI survey considered AI sales-development representatives highly effective.[43]
  • 92% of HubSpot’s industry-specific pages were cited by answer engines after structured data, contextual content and FAQ schema were added.[44]
  • 1,850% was the increase in qualified leads HubSpot reported after changing its content strategy for AI answer engines.[44]

09 Statistics

Marketing & Brand

Answer-engine and personalization usage is measurable, with 92% of B2B respondents reporting lead-acquisition costs increased over the preceding two years.

Marketing in the artificial intelligence industry

  • 73% of marketing leaders reported using AI for content creation in a 2026 marketing survey.[45]
  • 47% was the increase in time spent with some leading consumer-facing AI models during the first half of 2026, according to Nielsen Media Impact trends.[46]
  • 65% of marketing leaders reported using AI for personalization in a 2026 marketing survey.[45]
  • 50% of consumers reported regularly turning to AI for brand or product recommendations in Nielsen’s 2026 Annual Marketing Report.[46]
  • 36% of marketing leaders reported using AI for segmentation in a 2026 marketing survey.[45]

Digital marketing in the artificial intelligence industry

  • 84% of marketers agreed social search would become a key brand-discovery channel in 2025, according to HubSpot’s global social-media trends research.[47]
  • 68% of consumers wanted generative-AI tools to aggregate search, social-media and retailer results into one set of purchase options in Capgemini’s 2025 research.[48]
  • 71% of consumers wanted generative AI integrated into their shopping experiences in Capgemini’s 2025 consumer research.[48]
  • 40% of consumers occasionally used social media for customer-service interactions in Capgemini’s 2025 consumer research.[48]
  • 48% of Gen Z respondents said they use AI for brainstorming in Yext’s 2025 global brand-discovery study.[49]

Branding in the artificial intelligence industry

  • 80.5% was the observed mention rate when a brand had a previous mention and current own-domain exposure in one 2026 AI-search visibility experiment.[15]
  • 62% of global consumers trusted AI tools for brand discovery in Yext’s 2025 study of how consumers search for and evaluate brands.[49]
  • 43% of U.S. consumers who had tried AI tools said they discovered a new brand through AI in Semrush’s 2026 study.[37]
  • 44% of retail executives worldwide expected generative AI to weaken brand loyalty by 2026, according to Deloitte’s 2026 Retail Industry Outlook survey.[42]
  • 2.4 percentage points was the increase in a brand’s own-site visits after an AI assistant recommended the brand in a 2026 field experiment.[15]

Social media in the artificial intelligence industry

  • 23% of adults aged 18 and over clicked a brand advertisement in a social-media feed or homepage in Horowitz Research’s 2025 study.[50]
  • 79% of U.S. consumers engaged with brands on social media in Censuswide’s 2025 Voice of a CMO research.[51]
  • 48.38% of regular AI-tool users used social media for product research in Semrush’s 2026 U.S. consumer study.[37]
  • 45% of Gen Z respondents used social media to spark ideas in Yext’s 2025 global study of AI-mediated brand discovery.[49]
  • 40% of consumers occasionally used social media for customer-service interactions in Capgemini’s 2025 research on AI and shopping.[48]

Influencer Marketing in the software and IT services sector (sector benchmark)

  • Across B2B companies, 55% of marketing organizations were using influencers in 2025, based on an Ipsos survey of 1,500 marketing leaders.[52]
  • Across B2B companies, 58% of marketing teams reported using an always-on influencer marketing approach in the 2025 B2B Influencer Marketing Report.[53]
  • Across B2B companies, 43% of marketers reported outstanding results from their influencer programs in the 2025 B2B Influencer Marketing Report.[53]
  • Across B2B companies, another 29% of marketing organizations planned to adopt influencer marketing within the next year in 2025, based on an Ipsos survey of 1,500 marketing leaders.[52]
  • Across technology companies, 27% of marketers reported dedicated but flat budgets for creator or influencer marketing in 2026, according to Nielsen’s global marketing survey.[46]

10 Statistics

Operations & Execution

Operationalization outpaces controls, with hallucination rates ranging 22% to 94% across 26 leading AI models in a 2026 benchmark.

Process optimization in the artificial intelligence industry

  • More than 80% of software professionals believe AI-assisted development increased their productivity in 2025.[54]
  • 42% of surveyed software developers reported that AI-assisted coding increased code volume by 26% to 50% in the previous 12 months.[55]
  • 50% of respondents report that AI helps them make better decisions in 2026, according to McKinsey’s global AI survey.[56]
  • 36% of surveyed developers reported saving 6–10 hours per week through AI coding assistants in 2026.[55]
  • 80% of respondents report that AI improved their individual productivity in 2026, according to a global survey of organizations.[56]

Operational efficiency in the artificial intelligence industry

  • 36% of data-center operators identified reduced maintenance or service costs as a benefit of AI-based operational software in 2025.[57]
  • 59% of data-center operators reported training AI in their on-premises data centers in 2024.[57]
  • 22% of data-center operators identified reduced staffing levels as a benefit of AI-based operational software in 2025.[57]
  • 79% of data-center operators said their organizations were increasing AI spending in 2024.[57]
  • 40% of data-center operators identified improved IT performance as a benefit of AI-based operational software in 2025.[57]

Quality management in the artificial intelligence industry

  • 22% to 94% was the range of hallucination rates across 26 leading AI models in a 2026 accuracy benchmark.[1]
  • 84.0% was DeepSeek-R1’s overall accuracy on the MMLU-Pro benchmark reported in 2025.[1]
  • 78.0% was Claude 3.5 Sonnet’s overall accuracy on MMLU-Pro in the 2025 AI Index leaderboard.[1]
  • 11% of businesses had no responsible-AI policies in 2025, down from 24% in the prior year.[1]
  • 77.9% was GPT-4o’s overall accuracy on MMLU-Pro in the 2025 AI Index leaderboard.[1]

Supply chain in the artificial intelligence industry

  • 22% of organizations had piloted or implemented AI agents in supply chains in 2026.[48]
  • 40% of respondents reported using AI across supply-chain operations in 2026, compared with 24% in 2024.[58]
  • 27% of respondents reported using AI across supply-chain operations in 2025.[58]

Outsourcing / Offshoring in the software and IT services sector (sector benchmark)

  • Across German digital-experience service providers, 13.2% of services for customer projects were delivered nearshore in 2024.[59]
  • Among German IT-service generalists, 10.2% of digital-experience services for customer projects were delivered offshore in 2024.[59]
  • Across European organizations, 35% planned to increase their use of nearshore outsourcing in the 2024/2025 sourcing study.[60]
  • Across German digital-experience service providers, 7.6% of services for customer projects were delivered offshore in 2024.[59]
  • Across EU enterprises sourcing business functions internationally during 2021–2023, 28.7% moved information and communication technology services abroad.[4]

11 Statistics

Finance & Pricing

Inference cost compression is expected, with projected decline from $0.04 to approximately $0.01 per million tokens between 2025 and 2030.

Pricing strategy in the artificial intelligence industry

  • Approximately 51% to 58% of B2B SaaS providers reported bundling AI functionality into existing products at a higher price in 2025.[61]
  • Nearly 89% of B2B SaaS providers believe consumption pricing aligns price with AI product costs best in 2025.[61]
  • $3 per million input tokens was Anthropic’s global standard price for Claude Sonnet 4.6 as of May 12, 2026.[62]
  • $25 per million output tokens was Anthropic’s global standard price for Claude Opus 4.7 as of May 12, 2026.[62]
  • $5 per million input tokens was Anthropic’s global standard price for Claude Opus 4.7 as of May 12, 2026.[62]

Cost reduction in the artificial intelligence industry

  • AI inference cost was projected to decline from $0.04 to approximately $0.01 per million tokens between 2025 and 2030.[63]
  • Inference cost for an AI model at GPT-3.5-equivalent MMLU performance fell from $20 to $0.07 per million tokens between November 2022 and October 2024.[64]
  • 36% of data-center operators reported reduced maintenance or service costs as an AI benefit in 2025.[57]
  • 43% of data-center operators reported reduced human-error failure risk as an AI benefit in 2024.[57]
  • AI inference costs were estimated to fall between ninefold and 900-fold per year depending on the task in 2025.[64]

Profitability in the artificial intelligence industry

  • Alphabet Cloud operating income reached $5.3 billion in the fourth quarter of 2025, more than doubling year over year.[65]
  • Microsoft reported $281.724 billion in fiscal-2025 revenue, up 15% year over year.[66]
  • NVIDIA reported a 75.0% GAAP gross margin in fiscal 2025.[67]
  • NVIDIA reported $130.497 billion in fiscal-2025 revenue, up 114% year over year.[67]
  • Microsoft Cloud’s gross margin percentage declined to 69% in fiscal 2025 because of scaling AI infrastructure.[66]

Financial planning in the artificial intelligence industry

  • 70% of organizations reported allocating at least 10% of their IT spending to AI initiatives in 2025.[68]
  • 50% of organizations prioritized cost reduction and operational efficiency when measuring AI initiative ROI in 2025.[68]
  • 51% of organizations expected measurable financial benefits from AI investments within one year in 2025.[68]
  • 21% of organizations reported already seeing measurable financial benefits from AI investments in 2025.[68]
  • 25% of organizations reported allocating more than 20% of their IT budgets to AI initiatives in 2025.[68]

12 Statistics

Product & Service

Developer integration continues expanding, with 693,867 GitHub repositories using an LLM SDK created during the 12 months to August 2025.

Product development in the artificial intelligence industry

  • 693,867 GitHub repositories using an LLM SDK were created during the 12 months to August 2025 worldwide, up 178% year over year.[69]
  • 72.6% of developers using Copilot code review said it improved their effectiveness in 2025.[69]
  • 62% of organizations using AI in product or service development reported revenue increases during the prior 12 months in 2025.[56]
  • 18% of technology-sector organizations used AI agents in product and/or service development in 2025 worldwide.[56]
  • 1.1 million public GitHub repositories used an LLM software-development kit in 2025 worldwide.[69]

Product lifecycle in the artificial intelligence industry

  • 44% of organizations running AI/ML workloads on Kubernetes used real-time model inferencing in 2025.[7]
  • 24% of organizations running AI/ML workloads on Kubernetes used large-scale model training in 2025.[7]
  • 16% of organizations running AI/ML workloads on Kubernetes used model monitoring or drift detection in 2025.[7]
  • 48% of organizations running AI/ML workloads on Kubernetes used model experimentation in 2025.[7]
  • 7% of organizations deploying generative AI models reported deploying them daily in 2025.[7]

After-sales in the artificial intelligence industry

  • 57.1% of Freshworks customers identified minimizing operational tasks and inefficiencies as a major AI impact area in customer service in 2025.[70]
  • 31% of organizations exploring or using generative AI reported improved customer-service response times in 2024.[48]
  • 32% of customer-service practitioners already used AI in 2025, according to Freshworks’ survey.[70]
  • 47% of companies that had not adopted AI for customer service planned to implement it in 2025.[70]
  • 33% of organizations exploring or using generative AI reported improved first-contact resolution rates in 2024.[48]

Value proposition in the artificial intelligence industry

  • £9.2 billion was revenue from dedicated AI companies in the United Kingdom in 2025, almost double the 2024 figure.[14]
  • £33.6 billion was the artificial-intelligence sector’s AI-related revenue in the United Kingdom in 2025, up 41%.[14]
  • 130,400 people held AI-related roles in the United Kingdom’s AI sector in 2025, up 51% year over year.[14]
  • $252.3 billion was global corporate AI investment in 2024.[1]
  • 44.5% was the increase in global private AI investment in 2024 compared with 2023.[1]

13 Statistics

Sustainability & Ethics

Energy and emissions remain material constraints, with global data centers consuming 415 TWh in 2024 as AI demand accelerated.

Sustainability in the artificial intelligence industry

  • 100% of Amazon’s electricity consumption was matched with renewable-energy sources in 2024 for the second consecutive year.[71]
  • 415 TWh of electricity was consumed by global data centers in 2024, equal to 1.5% of global electricity consumption, as AI demand accelerated.[72]
  • 19.8 GW of renewable-energy capacity had been contracted by Microsoft across 21 countries by 2023, supporting its data-center and AI infrastructure.[73]
  • 100% of Google’s annual electricity consumption has been matched with renewable-energy purchases every year since 2017.[74]
  • 47 million metric tons of operational greenhouse-gas emissions were produced by Google, Amazon and Microsoft combined in 2023, up 62% from 2020.[72]

ESG in the artificial intelligence industry

  • 179 technology companies with AI exposure represented 28% of the technology industry’s global market capitalization in the OECD’s 2025 sustainability analysis.[5]
  • 14% of organizations identified environmental impact as a responsible-AI risk in 2025, compared with 16% in 2024.[1]
  • 72% of organizations surveyed by EY said they had integrated and scaled AI across most or all initiatives in 2025.[75]
  • 40% of surveyed companies reported board- or committee-level oversight of AI in 2025.[76]
  • 43.7% of surveyed companies publicly communicated having an AI strategy in 2025, while 13% said it aligned with a formal AI-governance framework.[76]

Ethics in the artificial intelligence industry

  • 44% of organizations identified autonomous or unintended system actions as an AI risk in 2025.[1]
  • 76% of surveyed companies showed no evidence of policies evaluating the quality of data used to train AI systems in 2025.[76]
  • 31% of U.S. adults said they trusted businesses at least somewhat to use artificial intelligence responsibly in 2025.[77]
  • 51% of organizations identified intellectual-property infringement as an AI risk in 2025, according to the Stanford-McKinsey survey.[1]
  • 12% of surveyed companies reported a policy ensuring that a human oversees AI systems in 2025.[76]

CSR in the artificial intelligence industry

  • 1.5 million learners had been trained in AI by IBM by 2025, against its goal of training 2 million by 2026.[13]
  • 3,265 companies and organizations had joined the EU AI Pact by December 2025, including more than 230 voluntary pledgers.[78]
  • 73% of corporate-social-impact teams reported using AI tools in 2025, up from 53% in 2024.[79]
  • 8.8 million components from decommissioned Google data-center hardware were harvested for reuse or resale in 2024.[80]
  • 72% of corporate-social-impact teams used AI to enhance communications in 2025, compared with 36% in 2024.[79]

Circular economy in the artificial intelligence industry

  • 8.8 million components from Google data-center hardware were harvested for reuse or resale in 2024.[80]
  • 3.5 years is the approximate lifespan of data-center hardware used in the generative-AI e-waste assessment.[81]
  • 131.0–224.8 million kilograms of AI e-waste was estimated for 2030 in the recalibrated global model.[82]
  • 1.2–5.0 million tons of cumulative e-waste could be generated by generative-AI infrastructure between 2020 and 2030 under modeled development scenarios.[83]
  • 8.4 million kilograms of technology waste has been kept from landfill through HPE’s equipment-reuse and recycling activities.[27]

Carbon footprint in the artificial intelligence industry

  • 24–44 million metric tons of additional annual carbon emissions could result from U.S. AI-server deployment between 2024 and 2030, depending on expansion scale.[83]
  • 13% was Google’s year-over-year increase in total greenhouse-gas emissions in 2023, driven mainly by data-center energy use and supply-chain emissions.[74]
  • 0.24 Wh was the median energy consumption of a Gemini Apps text prompt in Google-scale production measurement.[15]
  • 62% was the increase in combined operational greenhouse-gas emissions from Google, Amazon and Microsoft between 2020 and 2023.[72]
  • 47 million metric tons of operational greenhouse-gas emissions were produced by Google, Amazon and Microsoft combined in 2023.[72]

15 Statistics

Globalization & Expansion

Regional private investment remains skewed, with U.S. private AI investment at $285.9B in 2025 versus $12.4B in China.

Globalization in the artificial intelligence industry

  • 53% of the global population had adopted generative AI within three years of its emergence, according to the 2026 AI Index.[1]
  • $285.9 billion was invested in private AI companies in the United States in 2025, compared with $12.4 billion in China and $5.9 billion in the United Kingdom.[1]
  • 16.3% of the world’s population used generative AI tools in the three months ending December 2025.[66]
  • The United Kingdom recorded 5,862 active AI companies in 2024, including dedicated and diversified firms.[14]
  • 51 AI-related inward investment projects entered the United Kingdom in 2024, representing more than £15 billion in capital investment.[14]

Cultural adaptation in the artificial intelligence industry

  • 71% to 81% of countries and territories showed improved cultural alignment when newer GPT models were evaluated against nationally representative survey data.[15]
  • 7,286 participants from 15 countries were used to evaluate GPT-3.5’s ability to reproduce culturally specific responses to persuasive news articles.[15]
  • 15 countries were represented in a simulation study testing whether specifying a user’s country improved GPT-3.5’s cultural response alignment.[15]
  • 21 participants were included in a multinational pilot study examining how language, values and institutional exposure shape AI trust and reliance.[15]

Stakeholder management in the artificial intelligence industry

  • The median S&P 500 company active in external AI relationships had three to four documented AI partner relationships between 2023 and 2025.[22]
  • 21% of European SMEs and mid-cap companies consulted in 2026 planned to adopt AI and advanced manufacturing technologies in the future.[92]
  • 349 S&P 500 companies, nearly 70% of the index, documented external AI activity through partnerships, investments or acquisitions between 2023 and 2025.[22]
  • 42% of European SMEs and mid-cap companies consulted in 2026 already used AI and advanced manufacturing technologies, mostly in limited or experimental ways.[92]

Distribution channels in the artificial intelligence industry

  • 95% of distributors were forecast to struggle by 2027 to secure funding needed to participate in the AI era and invest in digital marketplaces and ecosystem orchestration.[19]
  • 63% of respondents in the 2026 cloud go-to-market survey were actively using or piloting AI for co-selling or marketplace activities.[19]
  • 170% was the reported 2024 growth in gross transaction value for Google Cloud Marketplace, which added more than 2,000 solutions across existing and new independent software vendors.[93]
  • 16% of independent software vendors in the 2026 cloud go-to-market survey used AI to automate significant portions of co-sell or marketplace motions.[19]
  • 80% of downloads on Hugging Face in March 2026 were for models with open-source licenses, despite those models representing about two-thirds of models with license information.[5]

Key questions about the Artificial Intelligence Industry

What is the total AI market size in 2026?
Worldwide spending on artificial intelligence is forecast at $2.67 trillion in 2026, compared with $1.79 trillion in 2025.
How fast is AI spending expected to grow in 2026?
AI spending growth in 2026 is forecast at 49.5% year over year, reaching $2.7T with Gartner’s September 2026 forecast.
Which companies lead the artificial intelligence industry?
NVIDIA leads Gitnux's 2026 artificial intelligence ranking with an Overall score of 9.6, driven by FY2026 Data Center revenue reached $193.7B. Microsoft is the highest-ranked cloud and enterprise AI platform provider at 9.5, backed by fiscal 2025 R&D at 12% of revenue and operating margin 45.62%.
What technology shifts are most visible in 2026 spending categories?
AI infrastructure remains dominant at $1.48 trillion in 2026, followed by AI services at $576.5 billion and AI software at $461.6 billion.
How concentrated is frontier AI development among industry players?
Industry produced more than 90% of notable frontier AI models in 2025, indicating strong concentration among commercial laboratories.
What governance change affects organizations deploying interactive AI in the EU in 2026?
The EU AI Act became broadly applicable on August 2, 2026, when transparency obligations began applying to certain interactive AI systems and AI-generated content.
Reference

Cite This Report

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APA
Samuel Norberg. (2026, February 13). Artificial Intelligence Industry Statistics. Gitnux. https://gitnux.org/artificial-intelligence-industry-statistics
MLA
Samuel Norberg. "Artificial Intelligence Industry Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/artificial-intelligence-industry-statistics.
Chicago
Samuel Norberg. 2026. "Artificial Intelligence Industry Statistics." Gitnux. https://gitnux.org/artificial-intelligence-industry-statistics.

Sources & references

101 sources cited across this report

  1. hai.stanford.edu
  2. teksystems.com
  3. higherlogicdownload.s3.amazonaws.com
  4. ec.europa.eu
  5. oecd.org
  6. statista.com
  7. cncf.io
  8. anomalo.com
  9. riverbed.com
  10. kpmg.com
  11. informatica.com
  12. utah.ismworld.org
  13. ibm.com
  14. gov.uk
  15. arxiv.org
  16. cset.georgetown.edu
  17. imaa-institute.org
  18. racetoagi.org
  19. tackle.io
  20. asml.com
  21. apnews.com
  22. cbinsights.com
  23. newsroom.cisco.com
  24. survey.stackoverflow.co
  25. computerworld.com
  26. gallup.com
  27. itpro.com
  28. ipsos.com
  29. go.pluralsight.com
  30. eane.org
  31. news.linkedin.com
  32. metrigy.com
  33. gartner.com
  34. a16z.com
  35. research.successcoaching.co
  36. hsbcinnovationbanking.com
  37. semrush.com
  38. emarsys.com
  39. salesforce.com
  40. sap.com
  41. investors.twilio.com
  42. emarketer.com
  43. slatecx.com
  44. techradar.com
  45. reddit.com
  46. brand-news.it
  47. hubspot.com
  48. capgemini.com
  49. yext.com
  50. tvtechnology.com
  51. censuswide.com
  52. business.linkedin.com
  53. toprankmarketing.com
  54. cloud.google.com
  55. blackduck.com
  56. mckinsey.com
  57. datacenter.uptimeinstitute.com
  58. 2325471.fs1.hubspotusercontent-na1.net
  59. luenendonk.de
  60. whitelane.com
  61. fticonsulting.com
  62. www-cdn.anthropic.com
  63. deloitte.com
  64. hai-production.s3.amazonaws.com
  65. abc.xyz
  66. microsoft.com
  67. investor.nvidia.com
  68. flexential.com
  69. github.blog
  70. freshworks.com
  71. sustainability.aboutamazon.com
  72. itu.int
  73. blogs.microsoft.com
  74. blog.google
  75. ey.com
  76. mediarightsagenda.org
  77. news.gallup.com
  78. digital-strategy.ec.europa.eu
  79. accp.org
  80. sustainability.google
  81. publications.jrc.ec.europa.eu
  82. sciencedirect.com
  83. nature.com
  84. iapp.org
  85. eur-lex.europa.eu
  86. aiadoption.org
  87. isc2.org
  88. gtia.org
  89. cdn.sypher.eu
  90. pagerduty.com
  91. crfm.stanford.edu
  92. employment-social-affairs.ec.europa.eu
  93. services.google.com
  94. openai.com
  95. sec.gov
  96. ir.amd.com
  97. anthropic.com
  98. coreweave.com
  99. ir.baidu.com
  100. home.alibabagroup.com
  101. iea.org