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, 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.

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

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.

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 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.

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

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.

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.

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

This dataset details how ICE recognizes the transformative potential of artificial intelligence (AI) to the mission space. the agency continued to establish the foundation for the safe, secure and ethical development and use of AI technology.

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

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.

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.

According to Cognitive Market Research, the global Artificial Intelligence Platform market size is USD 150.1 billion in 2024 and will expand at a compound annual growth rate (CAGR) of 36.4% from 2024 to 2031. Market Dynamics of Artificial Intelligence Platform Market

Key Drivers for Artificial Intelligence Platform Market

Growing Industry Adoption of AI-Powered Solutions to Increase the Demand Globally - One key driver in the Artificial Intelligence Platform market is the growing industry adoption of AI-powered solutions. Businesses worldwide are recognizing the transformative potential of Artificial Intelligence in enhancing operations, decision-making, and customer experiences. This growing acceptance is fueling a surge in demand for AI-driven technologies as organizations seek to capitalize on the myriad benefits they offer, driving momentum in the global market. Rise of Intelligent Virtual Assistants and Chatbots

Key Restraints for Artificial Intelligence Platform Market

Data Privacy and Security Concerns Complexity and Integration Challenges Introduction of the Artificial Intelligence Platform Market

The Artificial Intelligence Platform is a versatile framework tailored for diverse industries aimed at enhancing operational efficiency beyond conventional methods. It facilitates cost reduction through multiple avenues, including the prevention of redundant work, automation of simpler tasks, and the elimination of costly activities such as data duplication or extraction. One of the key drivers propelling the growth of the Artificial Intelligence Platform market is the growing demand for advanced technological solutions across industries. Businesses are increasingly leveraging innovative tools like Artificial Intelligence, Machine Learning, and Data Analytics to enhance efficiency, productivity, and decision-making processes. This surge is fueled by the recognition of the competitive advantages these technologies offer, including improved insights, cost savings, and the ability to adapt to rapidly evolving market dynamics.

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

Eleven reference AI benchmarks (ImageNet, SuperGLUE, MMLU, GPQA Diamond, OSWorld, SWE-bench, VQA, SQuAD 2.0, MATH, MMMU, AIME) scaled against a human baseline of 100%, tracking model performance over time.

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