The market size in the 'Machine Learning' segment of the artificial intelligence market worldwide was modeled to amount to 203.05 billion U.S. dollars in 2025. Between 2020 and 2025, the market size rose by 122.2 billion U.S. dollars, though the increase followed an uneven trajectory rather than a consistent upward trend. The market size will steadily rise by 314.51 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 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.

The market size change in the 'Machine Learning' segment of the artificial intelligence market worldwide was modeled to be 202.94 percent in 2025. Between 2021 and 2025, the market size change rose by 153.32 percentage points, though the increase followed an uneven trajectory rather than a consistent upward trend. The market size change is forecast to decline by 188.86 percentage points from 2025 to 2032, fluctuating as it trends downward.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 be 91.05 percent in 2025. Between 2021 and 2025, the market size change rose by 39.44 percentage points, though the increase followed an uneven trajectory rather than a consistent upward trend. The market size change is forecast to decline by 79.45 percentage points from 2025 to 2032, fluctuating as it trends downward.Further information about the methodology, more market segments, and metrics can be found on the dedicated Market Insights page on Autonomous & Sensor Technology.

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.

The market size in the 'Computer Vision' segment of the artificial intelligence market worldwide was modeled to stand at 98.78 billion U.S. dollars in 2025. Between 2020 and 2025, the market size rose by 51.97 billion U.S. dollars, though the increase followed an uneven trajectory rather than a consistent upward trend. The market size will steadily rise by 140.96 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.

🚀 Global AI Tools Dataset (2020–2026) | 1500+ AI Products

A comprehensive artificial intelligence dataset containing 1500+ AI tools across multiple categories, including Large Language Models (LLM), Image Generation AI, Video AI, Coding Assistants, Voice AI and AI Agents.

This dataset is designed for machine learning, data science, NLP research, recommendation systems and AI market analysis.

It provides structured information about AI tools, companies, pricing models, and adoption metrics to support AI ecosystem research and machine learning projects.

📊 Dataset Highlights

• 1500+ AI tools
• Multiple AI categories (LLM, Generative AI, Coding AI, Voice AI)
• Company metadata and valuation
• AI funding information
• Pricing model classification
• AI market ecosystem insights

This dataset is suitable for AI analytics, machine learning datasets, recommendation system development, and AI industry research.

📂 Dataset Files

1️⃣ ai_tools.csv

Main dataset containing information about AI tools and products.

Features include:

• Tool Name
• AI Category
• Company
• Launch Year
• Estimated User Base
• Pricing Model
• Open Source Status

This file can be used for machine learning classification, clustering, and recommendation systems.

2️⃣ ai_tool_categories.csv

Description of major AI technology categories, including:

• Large Language Models (LLM)
• Image Generation AI
• Video Generation AI
• Coding AI Assistants
• Voice AI Systems
• Autonomous AI Agents
• AI Productivity Tools

3️⃣ ai_company_metadata.csv

Metadata about companies developing AI tools, including:

• Company name
• Country
• Founding year
• Estimated valuation

Useful for AI startup ecosystem analysis and AI industry research.

4️⃣ ai_tool_funding.csv

Dataset containing AI startup funding rounds including:

• Funding round
• Investment amount
• Funding year

This can support AI startup funding analysis and venture capital trend analysis.

📑 Column Descriptions

🧠 Potential Machine Learning Use Cases

This dataset can be used for:

Machine Learning Projects

Classification of AI tools by category.

Recommendation Systems

Recommend AI tools based on category or company.

Natural Language Processing (NLP)

AI tool description analysis and categorisation.

Data Visualization

Analyse the **growth of AI tools from 2020 to 2026.

AI Market Analysis

Study trends in generative AI, LLMs and AI startups.

📈 AI Industry Insights

The global AI ecosystem has grown rapidly with the emergence of the following:

• Large Language Models (LLMs)
• Generative AI platforms
• AI coding assistants
• AI automation agents

Datasets like this help researchers and data scientists understand AI adoption, market growth and technology evolution.

🔄 Expected Update Frequency

Quarterly updates will include:

• New AI tools
• Updated company information
• AI funding updates

📜 License

CC0: Public Domain

🙌 Acknowledgement

This dataset was compiled using publicly available information about AI tools and companies. Some values were synthetically generated for research and educational purposes.

🔍 Keywords

Artificial Intelligence Dataset
AI Tools Dataset
Machine Learning Dataset
Generative AI Dataset
LLM Dataset
Natural Language Processing Dataset
Data Science Dataset
AI Market Analysis Dataset
AI Startup Dataset
AI Industry Dataset

This dataset can be used for machine learning, data science, artificial intelligence research, recommendation systems, and AI market analysis.

The market size in the 'Natural Language Processing' segment of the artificial intelligence market worldwide was modeled to be 120.73 billion U.S. dollars in 2025. Between 2020 and 2025, the market size rose by 99.45 billion U.S. dollars, though the increase followed an uneven trajectory rather than a consistent upward trend. The market size will steadily rise by 251.48 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.

The market size in the 'Generative AI' segment of the artificial intelligence market in the United States was modeled to be 211.33 billion U.S. dollars in 2025. Between 2019 and 2025, the market size rose by 210.38 billion U.S. dollars, though the increase followed an uneven trajectory rather than a consistent upward trend. The market size will steadily rise by 304.45 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 Generative AI.

The Indonesia Artificial Intelligence Data Center Market Report is Segmented by Data Center Type (Cloud Service Providers, Colocation Data Centers, and More), Component (Hardware, Software Technology, and Services), Tier Standard (Tier III and Tier IV), End-User Industry (IT and IT Services, Internet and Digital Media, and More). The Market Forecasts are Provided in Terms of Value (USD).

Global Artificial Intelligence (AI) in Manufacturing Market size was $3.45 Billion in 2023 and is predicted to around $47.02 Billion by 2032 at a CAGR of 33.68%.

Human Action Detection with Artificial Intelligence - Emirhan BULUT

I made an artificial intelligence CNN software that detects and classifies human movements. I trained 9 ready-made models and added 1 36-layer CNN artificial intelligence algorithm (model) that I created myself to the software. In order for the code to be instructive and understandable, I interpreted the code blocks with the help of notebook-like titles. I shared the dataset and software with humanity for free on Kaggle and GitHub.

Enjoyable software...

Emirhan BULUT

AI Inventor - Senior Artificial Intelligence Engineer

The coding language used:

Python 3.9.8

Libraries Used:

Tensorflow - Keras

NumPy

Matplotlib

Pandas

glob

os

Seaborn

https://github.com/emirhanai/Human-Action-Detection-with-Artificial-Intelligence/blob/main/Human%20Action%20Detection%20with%20Artificial%20Intelligence.png?raw=true" alt="Human Action Detection with Artificial Intelligence - Emirhan BULUT">

Developer Information:

Name-Surname: Emirhan BULUT

Contact (Email) : emirhan@isap.solutions

LinkedIn : https://www.linkedin.com/in/artificialintelligencebulut/

Kaggle: https://www.kaggle.com/emirhanai

Official Website: https://www.emirhanbulut.com.tr

📊 About the Dataset

This dataset explores the influence of AI-generated content across various industries, including journalism, social media, entertainment, and marketing. It provides insights into public sentiment, engagement trends, economic impact, and regulatory responses over time.

With AI-generated content becoming increasingly prevalent, this dataset serves as a valuable resource for data analysts, business strategists, and machine learning researchers to study trends, detect biases, and predict future AI adoption patterns.

💡 This dataset is perfect for AI adoption analysis, industry forecasting, and ethical AI research!

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.

Introducing a comprehensive and openly accessible dataset designed for researchers and data scientists in the field of artificial intelligence. This dataset encompasses a collection of over 4,000 AI tools, meticulously categorized into more than 50 distinct categories. This valuable resource has been generously shared by its owner, TasticAI, and is freely available for various purposes such as research, benchmarking, market surveys, and more. Dataset Overview: The dataset provides an extensive repository of AI tools, each accompanied by a wealth of information to facilitate your research endeavors. Here is a brief overview of the key components: AI Tool Name: Each AI tool is listed with its name, providing an easy reference point for users to identify specific tools within the dataset. Description: A concise one-line description is provided for each AI tool. This description offers a quick glimpse into the tool's purpose and functionality. AI Tool Category: The dataset is thoughtfully organized into more than 50 distinct categories, ensuring that you can easily locate AI tools that align with your research interests or project needs. Whether you are working on natural language processing, computer vision, machine learning, or other AI subfields, you will find a dedicated category. Images: Visual representation is crucial for understanding and identifying AI tools. To aid your exploration, the dataset includes images associated with each tool, allowing for quick recognition and visual association. Website Links: Accessing more detailed information about a specific AI tool is effortless, as direct links to the tool's respective website or documentation are provided. This feature enables researchers and data scientists to delve deeper into the tools that pique their interest. Utilization and Benefits: This openly shared dataset serves as a valuable resource for various purposes: Research: Researchers can use this dataset to identify AI tools relevant to their studies, facilitating faster literature reviews, comparative analyses, and the exploration of cutting-edge technologies. Benchmarking: The extensive collection of AI tools allows for comprehensive benchmarking, enabling you to evaluate and compare tools within specific categories or across categories. Market Surveys: Data scientists and market analysts can utilize this dataset to gain insights into the AI tool landscape, helping them identify emerging trends and opportunities within the AI market. Educational Purposes: Educators and students can leverage this dataset for teaching and learning about AI tools, their applications, and the categorization of AI technologies. Conclusion: In summary, this openly shared dataset from TasticAI, featuring over 4,000 AI tools categorized into more than 50 categories, represents a valuable asset for researchers, data scientists, and anyone interested in the field of artificial intelligence. Its easy accessibility, detailed information, and versatile applications make it an indispensable resource for advancing AI research, benchmarking, market analysis, and more. Explore the dataset at https://tasticai.com and unlock the potential of this rich collection of AI tools for your projects and studies.

The Artificial Intelligence Market in Sports Report is Segmented by Application (Player Analysis, Fan Engagement, Coaching and Game Strategy, and More), Component (Software, Services), Deployment (On-Premises, Cloud), Technology (Machine Learning and Deep Learning, and More), and Geography (North America, Europe, Asia-Pacific, South America, Middle East and Africa). The Market Forecasts are Provided in Terms of Value (USD).

Artificial Intelligence SAAS Market size was valued at USD 71.54 Billion in 2024 and is projected to reach USD 775.44 Billion by 2032, growing at a CAGR of 38.28% from 2026 to 2032.Artificial Intelligence SAAS Market DriversArtificial Intelligence SaaS is a cloud-based AI solution that allows enterprises to access and employ artificial intelligence technology without requiring considerable in-house infrastructure or experience. This model enables enterprises to efficiently install, maintain, and scale AI applications while reducing initial expenses. AI SaaS applications are diverse, including customer service chatbots that improve user interaction, predictive analytics tools that inform data-driven decision-making, automated marketing platforms that optimize outreach efforts, and advanced data analysis services that extract insights from large datasets.

Dataset Card for Dataset Name

  Dataset Summary

This dataset card aims to be a base template for new datasets. It has been generated using this raw template.

  Supported Tasks and Leaderboards

information-retrieval semantic-search

  Languages

English

  Dataset Structure





  Data Instances

[More Information Needed]

  Data Fields

[More Information Needed]

  Data Splits

[More Information Needed]

  Dataset Creation… See the full description on the dataset page: https://huggingface.co/datasets/Adel-Elwan/Artificial-intelligence-dataset-for-IR-systems.

Market size, estimate, forecast and CAGR for the Artificial Intelligence Market Size & Share Report, 2026-2033.

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.