2026 Global: Artificial Intelligence (Ai) Software-Competitive Review (2032) report
Description
The 2026 Global: Artificial Intelligence (Ai) Software-Competitive Review (2031) report features the global market size and projected growth/decline data for the period 2021 through 2032. The report primarily provides an examination of the business strategies for the ten largest global companies in the market and how their strategies differ.
Perry/Hope Partners' reports provide the most accurate industry forecasts based on our proprietary economic models. Our forecasts project the product market size nationally and by regions for 2021 to 2032 using regression analysis in our modeling. and Perry/Hope is the only market research publisher that utilizes both longitudinal (historical) and vertical (from market section to market division to market class) analysis, since we study every manufactured product in the countries we analyze. The report also provides written analysis on the market definition, market segments, and SWOT analysis (market strengths, weaknesses, opportunities, and threats).
The market study aims at estimating the market size and the growth potential of this market. Topics analyzed within the report include a detailed breakdown of the global markets for artificial intelligence (ai) software by geography and historical trend. The scope of the report extends to sizing of the artificial intelligence (ai) software market and global market trends with market data for 2024 as the base year, 2025 and 2026 as the estimate years with projection of CAGR from 2027 to 2032.
The report also features a list of the top ten largest global players in the market. A review of each company includes 1) an estimate of the market share, 2) a listing of the products and/or services in the market, and 3) the features of these products and/or services in the market. The report has a chapter on Comparative Business Strategies for the largest four players. An example of the Comparative Business Strategies analysis would be -- How does Netflix's business strategy to expand its market share in the global online streaming compare to Amazon Prime's business strategy through its video products and services?
The ten market players in this report and a brief synopsis of their participation in the market are:
The ten major companies in Artificial Intelligence (AI) software in 2025 are Nvidia, Microsoft, Google (Alphabet), OpenAI, Amazon Web Services (AWS), Anthropic, Palantir Technologies, IBM, Meta AI, and Databricks. Nvidia dominates with 92% of the data center GPU market, powering AI model training via H100 and Blackwell processors essential for infrastructure. Microsoft leads enterprise AI through Azure AI and Copilot, integrating OpenAI models across Office and cloud services, generating over $13 billion in annual AI revenue. Google excels in research via DeepMind and Gemini, serving 1.5 billion users monthly with AI-enhanced search and Vertex AI. OpenAI's GPT models, now at version 4.5 with 5 planned, drive generative AI innovation and API services nearing $300 billion valuation.
These leaders shape AI software platforms by combining foundational models, cloud infrastructure, and enterprise tools amid a market projected to reach $467 billion by 2030. AWS secures 19% of foundation model platforms via Bedrock and SageMaker, offering scalable access to models from Anthropic and others. Anthropic's Claude LLMs achieve $3 billion in recurring revenue with 1,000% growth, emphasizing safety for regulated sectors and partnerships with AWS and Palantir. Palantir's AI Platform excels in government and enterprise decisions, processing 90% of NATO classified data and driving 36% revenue growth. IBM's Watson and watsonx focus on trustworthy AI for hybrid cloud, holding strong in banking and regulated industries.
Databricks grows 60% yearly with its Mosaic AI lakehouse, serving 10,000 enterprises at data-AI intersections. Meta AI's open-source Llama 4 competes cost-effectively against GPT, integrating across platforms. This dominance reflects North America's 42% market share, fueled by cloud giants and investments, though Asia-Pacific surges at 30% CAGR. Competition intensifies in machine learning (38% share) and APIs (27% CAGR), with large enterprises adopting for analytics and automation. These firms dictate trends in model development (40% share) and deployment, balancing innovation with governance amid rapid evolution.
Perry/Hope Partners' reports provide the most accurate industry forecasts based on our proprietary economic models. Our forecasts project the product market size nationally and by regions for 2021 to 2032 using regression analysis in our modeling. and Perry/Hope is the only market research publisher that utilizes both longitudinal (historical) and vertical (from market section to market division to market class) analysis, since we study every manufactured product in the countries we analyze. The report also provides written analysis on the market definition, market segments, and SWOT analysis (market strengths, weaknesses, opportunities, and threats).
The market study aims at estimating the market size and the growth potential of this market. Topics analyzed within the report include a detailed breakdown of the global markets for artificial intelligence (ai) software by geography and historical trend. The scope of the report extends to sizing of the artificial intelligence (ai) software market and global market trends with market data for 2024 as the base year, 2025 and 2026 as the estimate years with projection of CAGR from 2027 to 2032.
The report also features a list of the top ten largest global players in the market. A review of each company includes 1) an estimate of the market share, 2) a listing of the products and/or services in the market, and 3) the features of these products and/or services in the market. The report has a chapter on Comparative Business Strategies for the largest four players. An example of the Comparative Business Strategies analysis would be -- How does Netflix's business strategy to expand its market share in the global online streaming compare to Amazon Prime's business strategy through its video products and services?
The ten market players in this report and a brief synopsis of their participation in the market are:
The ten major companies in Artificial Intelligence (AI) software in 2025 are Nvidia, Microsoft, Google (Alphabet), OpenAI, Amazon Web Services (AWS), Anthropic, Palantir Technologies, IBM, Meta AI, and Databricks. Nvidia dominates with 92% of the data center GPU market, powering AI model training via H100 and Blackwell processors essential for infrastructure. Microsoft leads enterprise AI through Azure AI and Copilot, integrating OpenAI models across Office and cloud services, generating over $13 billion in annual AI revenue. Google excels in research via DeepMind and Gemini, serving 1.5 billion users monthly with AI-enhanced search and Vertex AI. OpenAI's GPT models, now at version 4.5 with 5 planned, drive generative AI innovation and API services nearing $300 billion valuation.
These leaders shape AI software platforms by combining foundational models, cloud infrastructure, and enterprise tools amid a market projected to reach $467 billion by 2030. AWS secures 19% of foundation model platforms via Bedrock and SageMaker, offering scalable access to models from Anthropic and others. Anthropic's Claude LLMs achieve $3 billion in recurring revenue with 1,000% growth, emphasizing safety for regulated sectors and partnerships with AWS and Palantir. Palantir's AI Platform excels in government and enterprise decisions, processing 90% of NATO classified data and driving 36% revenue growth. IBM's Watson and watsonx focus on trustworthy AI for hybrid cloud, holding strong in banking and regulated industries.
Databricks grows 60% yearly with its Mosaic AI lakehouse, serving 10,000 enterprises at data-AI intersections. Meta AI's open-source Llama 4 competes cost-effectively against GPT, integrating across platforms. This dominance reflects North America's 42% market share, fueled by cloud giants and investments, though Asia-Pacific surges at 30% CAGR. Competition intensifies in machine learning (38% share) and APIs (27% CAGR), with large enterprises adopting for analytics and automation. These firms dictate trends in model development (40% share) and deployment, balancing innovation with governance amid rapid evolution.
Table of Contents
32 Pages
- 1.0 Scope of Report and Methodology
- 2.0 Market SWOT Analysis and Players
- 2.1 Market Definition
- 2.2 Market Segments
- 2.3 Market Strengths
- 2.4 Market Weaknesses
- 2.5 Market Threats
- 2.6 Market Opportunities
- 2.7 Major Players
- 3.0 Competitive Analysis
- 3.1 Market Player 1
- 3.2 Market Player 2
- 3.3 Market Player 3
- 3.4 Market Player 4
- 3.5 Market Player 5
- 3.6 Market Player 6
- 3.7 Market Player 7
- 3.8 Market Player 8
- 3.9 Market Player 9
- 3.10 Market Player 10
- 4.0 Comparative Business Strategies
- 4.1 Comparative Business Strategies of Player 1 and 2
- 4.2 Comparative Business Strategies of Player 1 and 3
- 4.3 Comparative Business Strategies of Player 1 and 4
- 4.4 Comparative Business Strategies of Player 2 and 3
- 4.5 Comparative Business Strategies of Player 2 and 4
- 4.6 Comparative Business Strategies of Player 3 and 4
- 5.0 Appendix
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