Market Share in Generative AI

Extracted Attributes

• xAI Model

  Grok, strong in current events/real-time information

• Google Model

  Gemini, gaining significant ground

• OpenAI Status

  Declining market share, implemented 'Code Red' strategy

• Anthropic Model

  Claude, excelling in Enterprise AI

• Key Competitors

  OpenAI, Google, Anthropic, xAI, Meta

• NVIDIA Market Share

  92% in data center GPU market

• ChatGPT Weekly Users

  Over 800 million users

• Competitive Landscape

  Dynamic five-horse race

• Accenture Market Share

  7% in generative AI services

• ChatGPT Monthly Visits

  4.6 billion visits

• Key Competitive Factors

  Distribution (as a competitive advantage), Leapfrogging (model capabilities), Specialization (in AI models)

• Generative AI Challenges

  Cybercrime, deception and manipulation (fake news, deepfakes), mass replacement of human jobs, intellectual property violations, environmental impacts (e-waste, fresh water consumption for cooling, high energy consumption)

• Generative AI Definition

  Subfield of artificial intelligence that uses generative models to generate text, images, videos, audio, software code or other forms of data

• Regional Dominance (2024)

  North America, 40.8% of global generative AI revenue

• Generative AI Applications

  Software development, healthcare, finance, entertainment, customer service, sales and marketing, art, writing, fashion, product design

• Microsoft Market Share (2024)

  39% in foundation models and platforms

• Generative AI Core Technologies

  Deep neural networks, large language models (LLMs), transformer architecture

• Largest Market Share by Type (2025)

  Text-based generative AI

• Anthropic Coding Market Share (2025)

  54% (up from 42% six months prior)

• Largest Market Share by Application (2025)

  Content management

Timeline

• Significant increase in the prevalence of generative AI tools, marking an 'AI boom'. (Source: Wikipedia)

  2020s

• Microsoft holds an estimated 39% market share in the foundation models and platforms sector. (Source: Web Search Results)

  2024

• North America dominates the global generative AI revenue with a 40.8% share. (Source: Web Search Results)

  2024

• ChatGPT's market share in the generative AI chatbot space has seen a decline year-to-date. (Source: Web Search Results)

  2025

• ClaudeAI's market share in the generative AI chatbot space has contributed to the splintering of the market year-to-date. (Source: Web Search Results)

  2025

• Perplexity's market share has taken some share from ChatGPT and Gemini year-to-date. (Source: Web Search Results)

  2025

• Anthropic commands an estimated 54% market share in the coding market, an increase from 42% six months prior. (Source: Web Search Results)

  2025

• Content management is projected to hold the largest market share in generative AI applications. (Source: Web Search Results)

  2025

• Text-based generative AI is projected to hold the largest market share, driven by LLM adoption. (Source: Web Search Results)

  2025

• Google DeepMind published the 'Gemini 3 Technical Report'. (Source: Web Search Results)

  2025-11-01

• The SWE-bench Verified Leaderboard was accessed. (Source: Web Search Results)

  2025-12-01

Generative artificial intelligence

Generative artificial intelligence (Generative AI, or GenAI) is a subfield of artificial intelligence that uses generative models to generate text, images, videos, audio, software code or other forms of data. These models learn the underlying patterns and structures of their training data and use them to produce new data in response to input, which often comes in the form of natural language prompts. The prevalence of generative AI tools has increased significantly since the AI boom in the 2020s. This boom was made possible by improvements in deep neural networks, particularly large language models (LLMs), which are based on the transformer architecture. Major tools include LLM-based chatbots such as ChatGPT, Claude, Copilot, DeepSeek, Google Gemini and Grok; text-to-image models such as Stable Diffusion, Midjourney, and DALL-E; and text-to-video models such as Veo and Sora. Technology companies developing generative AI include Alibaba, Anthropic, Baidu, DeepSeek, Google, Meta AI, Microsoft, Mistral AI, OpenAI, Perplexity AI, xAI, and Yandex. Generative AI has been adopted in a variety of sectors, including software development, healthcare, finance, entertainment, customer service, sales and marketing, art, writing, fashion, and product design. Generative AI has been used for cybercrime, and to deceive and manipulate people through fake news and deepfakes. Generative AI may lead to mass replacement of human jobs. The tools themselves have been described as violating intellectual property laws, since they are trained on copyrighted works. Many generative AI systems use large-scale data centers whose environmental impacts include e-waste, consumption of fresh water for cooling, and high energy consumption that is estimated to be growing steadily. Generative AI continues to evolve rapidly as new models and applications emerge.

Web Search Results

• Top Generative AI Chatbots by Market Share – December 2025

  ## ChatGPT Market Share: 2025 Trend Below you will find the YTD 2025 trend of ChatGPT’s market share in the generative AI chatbot space. As the pioneer and marketplace leader, it has the most to lose, and it has seen a decline in market share this year at the hands of its many smaller competitors. [...] ## ClaudeAI Market Share: 2025 Trend Below you will find the YTD 2025 trend of ClaudeAI’s market share in the generative AI chatbot space. Like Perplexity, it has contributed to the splintering of the generative AI market and loss of market share from ChatGPT and Gemini. [...] ## Perplexity Market Share: 2025 Trend Below you will find the YTD 2025 trend of Perplexity’s market share in the generative AI chatbot space. While its growth may not look significant, it has taken some market share from ChatGPT and Gemini this year.

• 2025: The State of Generative AI in the Enterprise | Menlo Ventures

  LLM Market ShareLLM market shares represent estimated dollars spent based on proportion of production API usage. Survey respondents reported the share of their AI workloads using each model. Responses were weighted based on each enterprise and startup application’s scale, and triangulated with publicly reported financials where available. [...] Anthropic’s ascent has been driven by its remarkably durable dominance in the coding market, where it now commands an estimated 54% market share, compared to 21% for OpenAI. This is up from 42% just six months ago, driven in large part by the popularity of Claude Code. [...] 9. LLM market shares approximate dollars spent based on proportion of production API usage. Survey respondents reported the share of their AI workloads using each model. Responses were then weighted based on each enterprise and startup application’s scale, and results triangulated with publicly reported financials. ↩︎ 10. Google DeepMind, “Gemini 3 Technical Report,” November 2025, ↩︎ 11. SWE-bench, “SWE-bench Verified Leaderboard,” accessed December 2025, ↩︎

• Generative AI Market Size, Trends, & Technology Roadmap

  Content management is set to hold the largest market share in 2025, reflecting enterprise focus on Hyper-personalization, Automated publishing, and Omnichannel engagement. Vendors are enabling semantic search, multilingual content generation, and real-time localization, transforming content ecosystems into intelligent, adaptable platforms. Gen AI is redefining marketing, media, and customer experience strategies through scalable, brand-safe content automation. [...] In 2025, text-based generative AI will hold the largest market share, powered by the widespread adoption of Large Language Models (LLMs). Key enterprise use cases include Chatbots and virtual assistants, Knowledge management and intelligent search, Automated report generation and NLP-driven analytics. Vendors emphasize context-aware NLP, prompt engineering, and integration with data lakes and BI dashboards as differentiators. Text-based models are foundational to Gen AI adoption, supporting

• The leading generative AI companies - IoT Analytics

  Accenture leads generative AI services with $3 billion investment.IoT Analytics estimates thatAccenture, an Ireland-based professional services company, holds 7% market share, making it a relatively dominant force in the generative AI services market. The company has solidified its lead through a $3 billion AI investment aimed at accelerating enterprise AI adoption, developing AI-powered solutions, and enhancing internal AI integration. Accenture’s GenAI strategy revolves around being the [...] Microsoft holds lion’s share for AI platforms.US-based software company and hyperscalerMicrosoft has solidified its leadership in the foundation models and platforms sector, with an estimated 39% market share in 2024. Its dominance is driven by its deep integration with leading foundation models (such as OpenAI’s models) and enterprise-focused AI services. Azure AI provides businesses with multimodal AI support and customization, making it the dominant cloud AI platform with the most new [...] . The data center GPU market saw remarkable growth to $125 billion, with NVIDIA maintaining a dominant position, holding 92% of the market share. Microsoft and AWS lead the rapidly expanding foundation models and model management platforms market, while Accenture and Deloitte lead the highly fragmented generative AI services market. Why it matters?

• 58 Generative AI Statistics for 2025: Trends & Insights - Mend.io

  4. North America dominates the current market with a 40.8% share of global generative AI revenue in 2024, attributed to the concentration of leading tech firms in the region (Grandview Research) 5. ChatGPT, a leading product in the market, had over 800 million weekly usersand 4.6 billion monthly visits, according to web traffic data (Semrush) [...] 1. 76% of marketersuse genAI for content creation, 71%for creative inspiration, and 63%for analyzing market data (Salesforce) 2. 84% of sales professionalsusing genAI report increased sales performance (Salesforce) 3. 61% of sales prosbelieve genAI helps them sell more efficiently and serve customers better (Salesforce) 4. Sales reps using AImost commonly apply it for content creation (82%)and personalized communication (71%)(Salesforce) ### Barriers and risks of adoption [...] Marketers and sales professionals are using generative AI to streamline operations and create personalized content.