A broad dataset providing insights into artificial intelligence statistics and trends for 2025, covering market growth, adoption rates across industries, impacts on employment, AI applications in healthcare, education, and more.

The largest impact that AI will make is on the current workforce. AI will automate tasks and even entire jobs that humans have previously done.

Google Gemini Statistics: In 2023, Google unveiled the most powerful AI model to date. Google Gemini is the world’s most advanced AI leaving the ChatGPT 4 behind in the line. Google has 3 different sizes of models, superior to each, and can perform tasks accordingly. According to Google Gemini Statistics, these can understand and solve complex problems related to absolutely anything. Google even said, they will develop AI in such as way that it will let you know how helpful AI is in our daily routine. Well, we hope our next generation won’t be fully dependent on such technologies, otherwise, we will lose all of our natural talent! Editor’s Choice Google Gemini can follow natural and engaging conversations. According to Google Gemini Statistics, Gemini Ultra has a 90.0% score on the MMLU benchmark for testing the knowledge of and problem-solving on subjects including history, physics, math, law, ethics, history, and medicine. If you ask Gemini what to do with your raw material, it can provide you with ideas in the form of text or images according to the given input. Gemini has outperformed ChatGPT -4 tests in the majority of the cases. According to the report this LLM is said to be unique because it can process multiple types of data at the same time along with video, images, computer code, and text. Google is considering its development as The Gemini Era, showing the importance of our AI is significant in improving our daily lives. Google Gemini can talk like a real person Gemini Ultra is the largest model and can solve extremely complex problems. Gemini models are trained on multilingual and multimodal datasets. Gemini’s Ultra performance on the MMMU benchmark has also outperformed the GPT-4V in the following results Art and Design (74.2), Business (62.7), Health and Medicine (71.3), Humanities and Social Science (78.3), and Technology and Engineering (53.00).

As of 2023, about ** percent of surveyed employees from companies in the United States of America and United Kingdom claim to use artificial intelligence (AI) in the logic-based task of data analysis. Approximately ** percent claim to use it for routine administrative tasks. These numbers are forecasted to grow, as the share of employees that wish to use the technology for both tasks is much higher, lying around ** percent.

According to the 2024 Stack Overflow developer survey, over 80 percent of developers reported that the most important benefit of using AI tools in their workflow was improved productivity. It is important to note that this is a substantial increase from the previous year's results with around 33 percent, which highlights AI's significance in work environments. Moreover, around 62 and 59 percent of respondents respectively stated that AI sped up learning and helped achieve greater efficiency.

Introduction

AI In Business Statistics: In today’s world, global businesses are rapidly transforming with Artificial Intelligence (AI), and as a result, overall operations are becoming easier in almost every industry. From automating regular tasks to enabling smarter decision-making, AI is also helping companies boost efficiency, increase productivity, reduce costs, enhance software development, improve customer experiences, and increase overall output.

This article includes several statistical analyses from different sources that elaborate on the overall AI-enhancing business sectors, along with their advantages and disadvantages.

As large language models (LLMs) such as GPT have become more accessible, concerns about their potential effects on students’ learning have grown. In data science education, the specter of students’ turning to LLMs raises multiple issues, as writing is a means not just of conveying information but of developing their statistical reasoning. In our study, we engage with questions surrounding LLMs and their pedagogical impact by: (a) quantitatively and qualitatively describing how select LLMs write report introductions and complete data analysis reports; and (b) comparing patterns in texts authored by LLMs to those authored by students and by published researchers. Our results show distinct differences between machine-generated and human-generated writing, as well as between novice and expert writing. Those differences are evident in how writers manage information, modulate confidence, signal importance, and report statistics. The findings can help inform classroom instruction, whether that instruction is aimed at dissuading the use of LLMs or at guiding their use as a productivity tool. It also has implications for students’ development as statistical thinkers and writers. What happens when they offload the work of data science to a model that doesn’t write quite like a data scientist? Supplementary materials for this article are available online.

According to a 2024 survey conducted in the United States, around ** percent of respondents who used artificial intelligence-powered online search engines found search results provided by these tools more specific to their queries. Another ** percent found their results more trustworthy. On the other hand, approximately ** percent of respondents reported they would not trust AI-generated result to their web searches.

The statistic shows the cumulative revenues from the ten leading artificial intelligence (AI) use cases worldwide, between 2016 and 2025. Over the ten years between 2016 and 2025, AI software for vehicular object detection, identification, and avoidance is expected to generate * billion U.S. dollars.

According to the 2024 Stack Overflow Developer Survey, around 82 percent of developers reported that they were currently using AI tools for writing code. Searching for answer was the second most popular use for AI tools among developers with around 68 percent of developers currently using it as of 2024.

Introduction

E-Learning Statistics: In today’s fast-moving digital world, e-learning has become a key tool for businesses and people who want to keep improving and growing. E-learning is convenient, easy to access, and flexible, making it a game-changer for traditional education. It’s now an essential resource for staying competitive and adaptable in various industries.

Before the global COVID-19 pandemic, online learning was already starting to show up in schools, from elementary through university, as well as in corporate training. Both students and teachers liked the flexibility it offered to everyone taking part in the lessons.

Don't worry; we've put together a list of important E-Learning Statistics for 2024, bringing together the most useful insights in one handy place.

Crash Statistics are summarized crash statistics for large trucks and buses involved in fatal and non-fatal Crashes that occurred in the United States. These statistics are derived from two sources: the Fatality Analysis Reporting System (FARS) and the Motor Carrier Management Information System (MCMIS). Crash Statistics contain information that can be used to identify safety problems in specific geographical areas or to compare state statistics to the national crash figures.

Analysis of ‘Statistic Tables of Building and Housing Statistics — EDYVI. Q2 2020’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from http://data.europa.eu/88u/dataset/https-opendata-euskadi-eus-catalogo-estadistica-tablas-estadisticas-de-la-estadistica-de-edificacion-y-vivienda-edyvi-2-trimestre-2020- on 17 January 2022.

--- Dataset description provided by original source is as follows ---

Official statistical operation carried out by the Department of Environment, Territorial Planning and Housing. It provides information on the entire construction activity carried out in the CAE.

--- Original source retains full ownership of the source dataset ---

Introduction

Fake News Statistics: Fake news has become a major problem in today's digital age in recent years. It spreads quickly through social media and other online platforms, often misleading people. Fake news spreads faster than real news, thus creating confusion and mistrust among global people. In 2024, current statistics and trends reveal that many people have encountered fake news online, and many have shared it unknowingly.

Fake news affects public opinion, political decisions, and even relationships. This article helps us understand how widespread it is and helps us address several issues more effectively. Raising awareness and encouraging critical thinking can reduce its impact, in which reliable statistics and research are essential for uncovering the truth and stopping the spread of false information. Everyone plays a role in combating fake news.

This dataset is about books. It has 1 row and is filtered where the book is Statistical relational artificial intelligence : logic, probability, and computation. It features 7 columns including author, publication date, language, and book publisher.

Analysis of ‘Access statistics from moers.de for June 2016 ’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from http://data.europa.eu/88u/dataset/ca3dc38d-87aa-4a1a-b7f3-46d4ace43ddb on 16 January 2022.

--- Dataset description provided by original source is as follows ---

Note: due to an error in the tracking code, until mid-June, the access was no longer correctly counted. This explains the sharp reduction in access figures to moers.de compared to previous months.

The Zip file contains the following CSV files:

• Visitors per year_1.csv
• Visitors per month — individual period_1.csv
• Visitors per month_1.csv
• Visitors per hour_1.csv
• Visitors per day_1.csv
• Visitors_1.csv
• Browser main versions by operating system_1.csv
• Browser by operating system subversions_1.csv
• Browser subversions_1.csv
• Access pages_1.csv
• Statement of origin_1.csv
• Use per domain_1.csv
• PAGE Impression per page_1.csv
• Search word statistics Phrasen by search engine_1.csv
• Search word statistics Phrasen_1.csv
• Search word statistics words_1.csv

--- Original source retains full ownership of the source dataset ---

In 2023, the Edge AI Market reached a value of USD 19.34 billion, and it is projected to surge to USD 105.75 billion by 2030.

Analysis of ‘New Hire Statistics’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/6251fa5e-6a67-4c77-bd4f-8503b49cbe5a on 26 January 2022.

--- Dataset description provided by original source is as follows ---

This dataset contains resources that present new hire statistics for the Oklahoma state government workforce.

--- Original source retains full ownership of the source dataset ---

As of 2023, over 90 percent of the respondents claim their companies must invest more into reassuring customers their data is being used for intended and legitimate purposes only throughout the use of artificial intelligence (AI).

The Artificial Intelligence (AI) in Machine Learning (ML) market has witnessed exponential growth in recent years, driven by the rapid advancement of technology and the increasing integration of AI solutions across various industries. With a market size that has reached billions of dollars and is expected to expand