The market size change in the 'Machine Learning' segment of the artificial intelligence market worldwide was modeled to amount to 203.79 percent in 2025. Between 2021 and 2025, the market size change rose by 154.04 percentage points, though the increase followed an uneven trajectory rather than a consistent upward trend. The market size change is expected to drop by 192.83 percentage points between 2025 and 2032, showing a continuous downward movement throughout the period.Further information about the methodology, more market segments, and metrics can be found on the dedicated Market Insights page on Machine Learning.

The market size change in the 'Autonomous & Sensor Technology' segment of the artificial intelligence market worldwide was modeled to amount to 91.58 percent in 2025. Between 2021 and 2025, the market size change rose by 39.83 percentage points, though the increase followed an uneven trajectory rather than a consistent upward trend. The market size change is expected to drop by 85.3 percentage points between 2025 and 2032, showing a continuous downward movement throughout the period.Further information about the methodology, more market segments, and metrics can be found on the dedicated Market Insights page on Autonomous & Sensor Technology.

Complete dataset included in the full report. Detailed tables, regional splits, forecasts, and methodologies are available with purchase.

Epoch’s AI models dataset is a collection of machine learning models useful for research about trends in the history and future of artificial intelligence.

Large-scale models are models that were trained with over 10^23 FLOP of compute, which is a static threshold that is used in some AI regulatory frameworks.

Epoch’s AI models dataset is a collection of machine learning models useful for research about trends in the history and future of artificial intelligence.

The database covers AI models, especially models that are notable for advancing the state of the art, or a large impact on the world or the history of the field.

The data contain several subsets, which can be viewed using the interactive visualization. Notable AI models are those that meet our notability criteria. Frontier models are models that were in the top 5 of training compute as of the time of their release. Large-scale models are models trained with at least 10^23 floating-point operations. All models shows every model in the dataset, including models that do not qualify for the above categories, such as models found during our research on algorithmic progress, AI for biology, or other investigations.

The dataset was originally created for the report “Compute Trends Across Three Eras of Machine Learning” and has continually grown and expanded since then.

Where possible, we collect details such as training compute directly from publications. Otherwise, we estimate details from information such as model architecture and training data, or training hardware and duration.

The dataset is available on our website as a visualization or table, and is available for download in CSV format, updated daily.

Epoch AI’s Biology AI models dataset is a collection of machine learning models trained on biological data, and key information about their training. This dataset is useful for research about trends in the application of artificial intelligence to biology.

The dataset focuses on biological ML models: those that are trained on biological data, including biological sequences, molecular structures or data about molecular properties, among others.

The market size in the 'Computer Vision' segment of the artificial intelligence market worldwide was modeled to be 103.13 billion U.S. dollars in 2025. Between 2020 and 2025, the market size rose by 55.05 billion U.S. dollars, though the increase followed an uneven trajectory rather than a consistent upward trend. The market size will steadily rise by 130.03 billion U.S. dollars over the period from 2025 to 2032, reflecting a clear upward trend.Further information about the methodology, more market segments, and metrics can be found on the dedicated Market Insights page on Computer Vision.

The market size in the 'Autonomous & Sensor Technology' segment of the artificial intelligence market worldwide was modeled to amount to 57.3 billion U.S. dollars in 2025. Between 2020 and 2025, the market size rose by 24.52 billion U.S. dollars, though the increase followed an uneven trajectory rather than a consistent upward trend. The market size will steadily rise by 46.04 billion U.S. dollars over the period from 2025 to 2032, reflecting a clear upward trend.Further information about the methodology, more market segments, and metrics can be found on the dedicated Market Insights page on Autonomous & Sensor Technology.

Complete dataset included in the full report. Detailed tables, regional splits, forecasts, and methodologies are available with purchase.

When asked about how their organizations are adjusting their talent strategies due to the adoption of artificial intelligence (AI), over half of AI leaders worldwide named educating a broader workforce to raise overall AI fluency in 2025. The second-most common adjustment was designing and implementing strategies for employee reskilling and upskilling.

Epoch’s AI models dataset is a collection of machine learning models useful for research about trends in the history and future of artificial intelligence.

Frontier models are models that were in the top 5 by training compute at the time of their release, a threshold that grows over time as larger models are developed.

The market size in the 'Natural Language Processing' segment of the artificial intelligence market worldwide was modeled to be 126.05 billion U.S. dollars in 2025. Between 2020 and 2025, the market size rose by 104.2 billion U.S. dollars, though the increase followed an uneven trajectory rather than a consistent upward trend. The market size will steadily rise by 742.68 billion U.S. dollars over the period from 2025 to 2032, reflecting a clear upward trend.Further information about the methodology, more market segments, and metrics can be found on the dedicated Market Insights page on Natural Language Processing.

AI statistics for B2B technology marketers — every figure traceable to the primary vendor or research-firm report. Coverage spans enterprise AI adoption, generative AI risk, AI-augmented threat detection, and AI infrastructure spending, reviewed by Nick Cavalancia.

Global Artificial Intelligence (AI) Software market size was worth USD 57.9 billion in 2023 and is predicted to grow to USD 680.8 billion by 2032.(CAGR) of roughly 31.5%

Market size, estimate, forecast and CAGR for the Artificial Intelligence in Manufacturing Market Report, 2025-2030.

Market size, growth, historical analysis, and forecast estimates included in the Artificial Intelligence (AI) in Healthcare Market is Expected to Witness a CAGR of 34-36% from 2024 to 2029.

snapshot-tab-pane Artificial Intelligence (AI) Market Size 2026-2030The artificial intelligence (ai) market size is valued to increase by USD 310.45 billion, at a CAGR of 26.9% from 2025 to 2030. Industrial scaling of agentic and autonomous AI will drive the artificial intelligence (ai) market.Major Market Trends & InsightsNorth America dominated the market and accounted for a 56.6% growth during the forecast period.By Component - Software segment was valued at USD 67.08 billion in 2024By End-user - Retail segment accounted for the largest market revenue share in 2024Market Size & ForecastMarket Opportunities: USD 393.15 billionMarket Future Opportunities: USD 310.45 billionCAGR from 2025 to 2030 : 26.9%Market SummaryThe artificial intelligence (AI) market is defined by a comprehensive ecosystem of hardware, software, and services simulating human cognitive functions. This technology enables systems to perform complex tasks by learning from vast datasets. The evolution from a theoretical framework to a foundational technology is driven by advancements in deep learning algorithms, machine learning, and natural language processing.The current landscape is shaped by the development of generative AI and reasoning models, allowing systems to act with increasing independence. In supply chain management, for instance, agentic AI systems are deployed to automate intricate workflows. These systems leverage predictive maintenance and computer vision to monitor assets and optimize logistics, using AI-powered advisory services for real-time decision-making.This reduces human intervention and enhances operational resilience by utilizing AI-driven analytics and operational intelligence platforms. The integration of AI-powered copilots and explainable AI is becoming standard, ensuring transparency and trust. This shift toward cognitive automation using large language models and on-device intelligence is a critical driver of digital transformation for enterprises worldwide, supported by AI-led enterprise operating models.What will be the Size of the Artificial Intelligence (AI) Market during the forecast period? Get Key Insights on Market Forecast (PDF) Get Free SampleHow is the Artificial Intelligence (AI) Market Segmented?The artificial intelligence (ai) industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in "USD million" for the period 2026-2030, as well as historical data from 2020-2024 for the following segments.ComponentSoftwareHardwareServicesEnd-userRetailBankingManufacturingHealthcareOthersTechnologyDeep learningMachine learningNLPGen AIGeographyNorth AmericaUSCanadaMexicoEuropeUKGermanyFranceAPACChinaIndiaJapanSouth AmericaBrazilArgentinaMiddle East and AfricaSaudi ArabiaUAESouth AfricaRest of World (ROW)By Component InsightsThe software segment is estimated to witness significant growth during the forecast period.The global artificial intelligence (AI) market segmentation is increasingly defined by the software layer, which serves as the core for cognitive automation and enterprise applications. This segment includes foundational models, development platforms, and end-user tools driving agentic commerce.A key trend is the shift toward agentic AI systems capable of orchestrating multi-step workflows without human supervision, leveraging large language models for complex reasoning. Modern architectures prioritize retrieval augmented generation to ensure high-fidelity outputs.In this dynamic landscape, a focus on explainable AI is crucial, as some implementations have demonstrated a 15% improvement in error detection, underscoring the demand for both on-device intelligence and robust, auditable systems that utilize AI-powered advisory services and AI-driven analytics. Get Free SampleThe Software segment was valued at USD 67.08 billion in 2024 and showed a gradual increase during the forecast period. Get Free SampleRegional AnalysisNorth America is estimated to contribute 56.6% to the growth of the global market during the forecast period.Technavio’s analysts have elaborately explained the regional trends and drivers that shape the market during the forecast period. See How Artificial Intelligence (AI) Market Demand is Rising in North America Get Free SampleThe geographic landscape of the global artificial intelligence (AI) market is characterized by distinct regional specializations and investment priorities.North America leads in foundational models and inference optimized semiconductors, with firms in the region securing over 60% of global venture capital for agentic AI systems.Europe focuses on industrial applications and regulatory leadership, pioneering frameworks for explainable AI and data sovereignty.Meanwhile, the APAC region is the fastest-growing

There are the underlying data for our report "Artificial Intelligence: How knowledge is created, transferred, and used", published 2018. Data can be used to construct the graphs used in the report.

The United States Artificial Intelligence Market size is estimated at USD 66.26 Billion in 2025 and is anticipated to reach USD 414.87 Billion by 2033, growing at a CAGR of 25.80% from 2026 to 2033.

Market size, estimate, forecast and CAGR for the Artificial Intelligence In Marketing Market Report, 2025-2030.