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.

Most organizations have not adapted AI to a great degree, with only a select number of employees within an organization using it in 2023. This is in all likelihood because the technology is still maturing and a select amount of employees might be running pilot programs or test programs for AI usage within companies. What is notable is more than a quarter of companies did not use any AI within their enterprise in 2023.

About 14 percent of real estate firms used artificial intelligence, according to a 2023 survey among 750 CFOs at major companies worldwide. Approximately 28 percent of respondents shared that their firm was in early-stage adoption, while 30 percent were piloting the technology. Meanwhile, about three percent of industry experts were not interested.

Introduction

AI Agents Statistics: AI agents are smart computer programs that handle tasks, make choices, and talk with people or other systems. They use tools like machine learning, natural language processing (NLP), and automation, such as automatic language translation, to collect and study information quickly. This helps save time and boost efficiency.

You’ll often see AI agents used in customer service chatbots, voice assistants like Siri or Alexa, and in areas like healthcare and finance. Their main goal is to make things easier by cutting down on human work and using data to make better decisions based on patterns in how people act. We shall shed enough light on AI Agents Statistics through this article.

Introduction

Jasper AI Statistics:Â Jasper AI has emerged as a leading generative AI platform, significantly transforming content creation and marketing workflows. By 2024, the company reported over 100,000 active users and more than 850 enterprise clients. Its revenue reached approximately USD 142.9 million, reflecting substantial growth from previous years.

To enhance productivity, Jasper AI introduced over 80 AI applications and launched Marketing Workflow Automation tools. With a total funding of USD 131 million and a valuation of USD 1.5 billion as of early 2024, Jasper AI continues to be a pivotal tool for businesses aiming to optimize their content strategies and achieve better marketing outcomes.

On this account, the article looks at some key Jasper AI statistics and trends for 2024, depicting the evolution and influence.

Introduction

AI in Healthcare Statistics: Artificial Intelligence (AI) is changing healthcare quickly. It helps doctors and nurses provide better care by using smart machines and computer programs. These tools can look at data like medical reports or images to find diseases and recommend treatments faster and more accurately. AI uses advanced methods like machine learning, natural language understanding, and even robotic surgery to improve healthcare services.

AI is especially useful in areas like scanning medical images, creating new medicines, and giving patients care tailored to their needs. It helps save money, speeds up finding health problems, and makes treatments work better. By working alongside healthcare professionals, AI makes it easier to give patients the best care possible while making the system more efficient.

Generative AI is already employed at Amazon. In 2024, a bit more than one-third of Amazon’s sellers and brands created and optimized product listings with AI tools. Another 14 percent of them shifted from manual to AI-based production of marketing and social media content.

A work-in-progress situation

AI use at Amazon aligns with the general trend observed in the United States. In 2023, only one-third of B2C e-commerce companies fully implemented AI in their operations, while nearly half of them are still in the experimental phase. In comparison, B2B organizations were lagging, as the full implementation rate stood at 25 percent.

What holds companies back?

Implementing AI-based solutions is easier said than done, as companies face numerous challenges ranging from data security to significant business costs – the main factors retail CEOs mentioned in a survey from 2023. In the same survey, over four in ten managers and employees believed AI innovations were hindered by a lack of understanding and expertise in AI use.

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: 1) quantitatively and qualitatively describing how select LLMs write report introductions and complete data analysis reports; and 2) 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 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?

The global number of AI tools users in the 'AI Tool Users' segment of the artificial intelligence market was forecast to continuously increase between 2025 and 2031 by in total 826.2 million (+238.59 percent). After the tenth consecutive increasing year, the number of AI tools users is estimated to reach 1.2 billion and therefore a new peak in 2031. Notably, the number of AI tools users of the 'AI Tool Users' segment of the artificial intelligence market was continuously increasing over the past years.Find more key insights for the number of AI tools users in countries and regions like the market size in the 'Generative AI' segment of the artificial intelligence market in Australia and the market size change in the 'Generative AI' segment of the artificial intelligence market in Europe. The Statista Market Insights cover a broad range of additional markets.

The Artificial Intelligence Non-Player Character (NPC) market is rapidly evolving, driven by advancements in machine learning, natural language processing, and computer graphics. As video games, virtual reality (VR), and simulations become increasingly immersive, AI NPCs are revolutionizing the way players interact

Survey of advanced technology, applications related to artificial intelligence technologies, by North American Industry Classification System (NAICS) and enterprise size for Canada and certain provinces, in 2022.

Introduction

Call Center Statistics: As global business and economic activities keep expanding, more companies hire outside help to handle a wide range of tasks—from simple, repetitive jobs to complex, high-priority work. Call centers are one example of the growing global outsourcing industry. They’re often the most visible part of a company’s outsourcing strategy because they deal directly with customers one-on-one, making them especially valuable to their businesses.

Not all call centers are outsourced, and not all are just for customer service. The structure and purpose of a call center can vary depending on a company's needs and goals. In this article, we shall shed more light on call center statistics.

Our most comprehensive database of AI models, containing over 800 models that are state of the art, highly cited, or otherwise historically notable. It tracks key factors driving machine learning progress and includes over 300 training compute estimates.

Analysis of ‘Statistics on the Open Data site ’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from http://data.europa.eu/88u/dataset/https-mon-saint-quentin-hub-arcgis-com-datasets-5426305826594a33a561acfd02d25808_0 on 12 January 2022.

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

Statistics on official and obsolete consignments broken down by actor in the portal.

Definition of Obsolète: A batch of data is considered obsolete when obvious defects have been detected as a result of a quality check or where there is no longer an update strategy carried out by the business department responsible for the maintenance of the lot.

Definition of official: The lot is usable and suitable.

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

The Artificial Intelligence (AI) in Robotics market is experiencing a transformative evolution, integrating advanced algorithms and machine learning capabilities into robotic systems across various industries. This synergy between AI and robotics is not just enhancing automation; it is revolutionizing operations in

The AI Assessment Service market has emerged as a crucial segment within the broader landscape of artificial intelligence, providing businesses with the tools necessary to evaluate and enhance their AI capabilities. As organizations across various sectors increasingly adopt AI technologies, the need for comprehensiv

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.

The AI Photo Moderation market is rapidly emerging as a vital component in the digital landscape, where the need for content safety and relevance is paramount. This innovative technology leverages artificial intelligence to automatically review and filter images, detecting inappropriate or harmful content while ensu

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.

In the United States, most retail companies are likely to use artificial intelligence (AI) for marketing purposes. Nearly 49 percent of professionals from retail companies answering a survey in 2024 stated that their enterprises will be using AI to handle marketing automation. Chatbots and virtual shopping assistants follow in the ranking, with 31.4 percent of answers.