In 2025, 21 percent of AI leaders surveyed worldwide expected intelligent security systems and smart monitoring to have the greatest impact among physical AI types. Collaborative robotics and digital twins followed closely with a share of 20 percent.

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.

https://heliontechnologies.com/wp-content/uploads/2024/04/AI.jpeg" alt="Ai"> The dataset, "The Rise of Artificial Intelligence," contains 8 entries and 16 columns, providing various insights on AI adoption, market trends, and job impact from 2018 to 2025.

Year: The year of data (2018–2025). AI Software Revenue: Annual revenue generated from AI software (e.g., "$10.1 billion"). Global AI Market Value: The global market value of AI (e.g., "$29.5 billion"). AI Adoption (%): Percentage of organizations adopting AI. Organizations Using AI: Percentage of organizations currently using AI. Organizations Planning to Implement AI: Percentage of organizations planning to adopt AI. Global Expectation for AI Adoption: Global expectations for AI adoption. Net Job Loss in the US: The estimated job loss in the U.S. due to AI. Organizations Believing AI Provides Competitive Edge: Percentage of organizations that think AI gives them an edge. Companies Prioritizing AI in Strategy: Percentage of companies prioritizing AI in their strategy. Marketers Believing AI Improves Email Revenue: Percentage of marketers who believe AI enhances email revenue. Americans Using Voice Assistants: The percentage of Americans using voice assistants (e.g., "Over 50%"). Medical Professionals Using AI for Diagnosis: Percentage of medical professionals using AI for diagnosis. Jobs at High Risk of Automation - Transportation & Storage: Percentage of jobs at high risk in this sector. Jobs at High Risk of Automation - Wholesale & Retail Trade: Percentage of jobs at high risk in this sector. Jobs at High Risk of Automation - Manufacturing: Percentage of jobs at high risk in manufacturing.

In 2025, India and Nigeria recorded the highest rates of regular or semi-regular artificial intelligence (AI) use, with 92 percent of consumers adopting these technologies. Emerging economies led this trend, as the United Arab Emirates and Egypt following with usage rates of 90 percent. Among advanced economies, Singapore reported a 73 percent AI usage rate in the same period.

The artificial intelligence market is estimated to grow from $273.6 billion currently to $5,267 billion by 2035, at a CAGR of 30.84% during the forecast period.

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

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.

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.

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 GCC artificial intelligence market size reached US$ 7.8 Billion in 2023. Looking forward, IMARC Group expects the market to reach US$ 23.7 Billion by 2032, exhibiting a growth rate (CAGR) of 13.88% during 2024-2032.

IMARC Group provides an analysis of the key trends in each segment of the GCC artificial intelligence market report, along with forecasts at the regional and country levels from 2024-2032. Our report has categorized the market based on type, solutions, system, technology and end use industry.

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

Artificial Intelligence Market size was valued at USD 312.41 Million in 2024 and is projected to reach USD 2,414.52 Million by 2032, growing at a CAGR of 33.93% from 2026 to 2032.Global Artificial Intelligence Market OverviewThe rise of Advanced Driver Assistance Systems integrated with Artificial Intelligence (AI) is a key trend rising the growth of the global AI market, particularly in the automotive and transportation sectors. These systems assist drivers in crucial tasks such as lane monitoring, parking, crash avoidance, blind-spot reduction, and maintaining safe distances. AI-powered ADAS features, including adaptive cruise control, lane departure warnings, braking, and collision avoidance, are transforming the automotive landscape by minimizing human error—the primary cause of road accidents. These systems rely on AI-driven software to process sensor data from cameras, radar, and LiDAR, enabling real-time decision-making for precise vehicle control.

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.

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.

The Saudi Arabia artificial intelligence market size was valued at USD 1,073 Million in 2024. Looking forward, IMARC Group estimates the market to reach USD 4,018 Million by 2033, exhibiting a CAGR of 15.80% from 2025-2033. The Saudi Arabia artificial intelligence market share is expanding, driven by the rising adoption of cloud platforms that provide the infrastructure needed to support advanced artificial intelligence (AI) applications in industries, along with the increasing investments in education to create a skilled workforce capable of driving AI innovations.

The Dataset "AI Global index" includes The Global AI Index itself and seven indicators affecting the Index on 62 countries, as well as general information about the countries (region, cluster, income group and political regime).

The Global AI Index is the first index to benchmark nations on their level of investment, innovation and implementation of artificial intelligence.

Talent, Infrastructure and Operating Environment are the factors of AI Implementation group of indicators, which represents the application of artificial intelligence by professionals in various sectors, such as businesses, governments, and communities. - Talent indicator focuses on the availability of skilled practitioners for the provision of artificial intelligence solutions. - Infrastructure indicator focuses on the reliability and scale of access infrastructure, from electricity and internet, to super computing capabilities. - Operating Environment indicator focuses on the regulatory context, and public opinion surrounding artificial intelligence.

Research and Development are the factors of Innovation group of indicators, which reflects the progress made in technology and methodology, which signify the potential for artificial intelligence to evolve and improve. - Research indicator focuses on the extent of specialist research and researchers; investigating the amount of publications and citations in credible academic journals. - Development indicator focuses on the development of fundamental platforms and algorithms upon which innovative artificial intelligence projects rely.

Government Strategy and Commercial are the factors of Investment group of indicators, which reflects financial and procedural commitments to artificial intelligence. - Government Strategy indicator focuses on the depth of commitment from national government to artificial intelligence; investigating spending commitments and national strategies. - Commercial indicator focuses on the level of startup activity, investment and business initiatives based on artificial intelligence.

All these seven indicators were calculated by Tortoise Media via weighting and summarizing 143 other indicators.

The dataset can be used for practicing data cleaning, data visualization, finding correlations between the indexes, Machine Learning (classification, regression, clustering).

The data was used in the analytical article research Artificial Intelligence on the World Stage: Dominant Players and Aspiring Challengers

By 2035, the Artificial Intelligence (AI) Market is projected to reach USD 3520.9 Bn, up from USD 244.3 Bn in 2025, at a CAGR of 30.6%.

This dataset captures insights into the use of Artificial Intelligence (AI) among 535 students in Indonesian higher education, focusing on their expectations, challenges, attitudes, perceptions, and motivations regarding AI-based learning tools. Collected through a structured survey, the dataset includes demographic variables such as university type, field of study, and educational level, along with students' self-reported experiences with AI in academic settings. The dataset serves as a valuable resource for understanding AI adoption trends in higher education, identifying barriers to AI integration, and evaluating its impact on student engagement and learning outcomes. It enables comparative analysis across different academic disciplines and institutional contexts, offering opportunities for policymakers and educators to design AI-informed curricula. Additionally, this dataset is structured for reproducibility and reuse, allowing researchers to extend its findings, apply alternative analytical approaches, and conduct cross-regional or longitudinal studies on AI integration in higher education.

According to a global survey conducted among 52 participating institutions in 2025, there were more participants who viewed AI's impact on education as an opportunity in every region than as a challenge. However, in the USA and Canada, 43 percent of faculty thought AI could be a challenge in education, higher than in every other region. On the other hand, Latin America had the highest share of respondents viewing AI's impact on education as an opportunity, at 78 percent.

Global Artificial Intelligence in Accounting Market size Valued at $ 4.68 Billion in 2023 to $ 57.32 Billion by 2032, with a CAGR of around 32.1% from 2024 to 2032.