According to a 2023 study conducted with marketers in the United States, ** percent of respondents reported using generative artificial intelligence tools, such as chatbots, as a part of their company's work. Only*** percent of American marketing professionals were not using the generative AI tools.

Most people in nearly all industries around the world have tried a generative AI tool at least once in 2023. Those working in retail and consumer goods industry were the largest group of those who had no exposure to generative AI tools. In general, those in technology, media, and telecom were far likelier to have used generative AI tools at work or outside of work regularly. This is perhaps unsurprising as these fields are the most likely to involve the use of generative AI in business practices. Generative AI employment change The effects of generative AI on employee numbers globally will be a serious consideration in the coming years. In 2023 most companies expected generative AI to decrease the number of employees in their business with the sole exception of product development and risk analysis., which was expected to change little. This is likely due to the fact that both require creativity and case-by-case analysis, something AI is still relatively bad in handling. Europe leads what? Globally users in North America use generative AI the most used generative AI regularly for work and outside of work. However, it was Europe that led in those using generative AI specifically in the workplace, being the only region with ************ response. Unsurprisingly, users in developing markets were the least likely to have been exposed to generative AI at all.

Introduction

Generative AI statistics: From its early days in research labs to now, a global sensation, generative AI has completely changed the technology landscape. We are past the initial hype and now deep into a phase of actual application and major economic impact.

This article explores more into the data behind the rise of generative AI, giving you a clear, driven look at its current state and what's coming next. I've gathered all the latest information to give you the most detailed and accurate picture available, showing you exactly how this technology is changing everything, so let’s get into it.

As of 2023, the majority of users engaging with generative artificial intelligence (Gen AI), or ** percent, was composed of young adults in between 18 and 24 years old. Most of the users are also male and with a college degree or higher.

In 2024, around 15 million adults in the United States claimed to have used generative artificial intelligence (AI) as their primary tool for online search. By 2028, this number is projected to reach over 36 million online users. The global online search market is likely to be one of the most affected industries by the AI-powered search market trend.

In late 2024, when a major logistics firm in Ohio replaced its legacy routing software with a generative AI system, delivery efficiency improved by 32% within three weeks. That wasn’t just an isolated success; it was a glimpse into the future. By mid-2025, AI has evolved from a futuristic novelty...

Business's use of Generative AI, by North American Industry Classification System (NAICS), business employment size, type of business, business activity and majority ownership, first quarter of 2024.

The main use, or ** percent, of generative AI was in seeking answers to questions the user did not know or generally brainstorming. Over **** the respondents used generative AI in such cases in 2023. Coding and writing lyrics were the least influential use cases, with barely ** percent of users using generative AI in such tasks.

In 2024, 44 percent of interviewed adults in the United States claimed to have used artificial intelligence-powered search engines to help them learn or explain concepts. Among matters of online search and discovery, around 37 percent of the survey respondents stated using these tools for providing them with recommendations. Among users' users who used these tools for information and processing management, 40 percent of respondents said they helped them improve writing and sum up information.

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.

In 2025, ** percent of teachers who do not use AI tools, agree that their students' engagement in the classroom has worsened due to the implementation of generative AI, compared to ** percent of teachers who use AI tools agreeing to the same statement.

Snapshot img

Generative AI In Data Analytics Market Size 2025-2029

The generative ai in data analytics market size is valued to increase by USD 4.62 billion, at a CAGR of 35.5% from 2024 to 2029. Democratization of data analytics and increased accessibility will drive the generative ai in data analytics market.

Market Insights

North America dominated the market and accounted for a 37% growth during the 2025-2029.
By Deployment - Cloud-based segment was valued at USD 510.60 billion in 2023
By Technology - Machine learning segment accounted for the largest market revenue share in 2023

Market Size & Forecast

Market Opportunities: USD 621.84 million 
Market Future Opportunities 2024: USD 4624.00 million
CAGR from 2024 to 2029 : 35.5%

Market Summary

The market is experiencing significant growth as businesses worldwide seek to unlock new insights from their data through advanced technologies. This trend is driven by the democratization of data analytics and increased accessibility of AI models, which are now available in domain-specific and enterprise-tuned versions. Generative AI, a subset of artificial intelligence, uses deep learning algorithms to create new data based on existing data sets. This capability is particularly valuable in data analytics, where it can be used to generate predictions, recommendations, and even new data points. One real-world business scenario where generative AI is making a significant impact is in supply chain optimization. In this context, generative AI models can analyze historical data and generate forecasts for demand, inventory levels, and production schedules. This enables businesses to optimize their supply chain operations, reduce costs, and improve customer satisfaction. However, the adoption of generative AI in data analytics also presents challenges, particularly around data privacy, security, and governance. As businesses continue to generate and analyze increasingly large volumes of data, ensuring that it is protected and used in compliance with regulations is paramount. Despite these challenges, the benefits of generative AI in data analytics are clear, and its use is set to grow as businesses seek to gain a competitive edge through data-driven insights.

What will be the size of the Generative AI In Data Analytics Market during the forecast period?

Get Key Insights on Market Forecast (PDF) Request Free SampleGenerative AI, a subset of artificial intelligence, is revolutionizing data analytics by automating data processing and analysis, enabling businesses to derive valuable insights faster and more accurately. Synthetic data generation, a key application of generative AI, allows for the creation of large, realistic datasets, addressing the challenge of insufficient data in analytics. Parallel processing methods and high-performance computing power the rapid analysis of vast datasets. Automated machine learning and hyperparameter optimization streamline model development, while model monitoring systems ensure continuous model performance. Real-time data processing and scalable data solutions facilitate data-driven decision-making, enabling businesses to respond swiftly to market trends. One significant trend in the market is the integration of AI-powered insights into business operations. For instance, probabilistic graphical models and backpropagation techniques are used to predict customer churn and optimize marketing strategies. Ensemble learning methods and transfer learning techniques enhance predictive analytics, leading to improved customer segmentation and targeted marketing. According to recent studies, businesses have achieved a 30% reduction in processing time and a 25% increase in predictive accuracy by implementing generative AI in their data analytics processes. This translates to substantial cost savings and improved operational efficiency. By embracing this technology, businesses can gain a competitive edge, making informed decisions with greater accuracy and agility.

Unpacking the Generative AI In Data Analytics Market Landscape

In the dynamic realm of data analytics, Generative AI algorithms have emerged as a game-changer, revolutionizing data processing and insights generation. Compared to traditional data mining techniques, Generative AI models can create new data points that mirror the original dataset, enabling more comprehensive data exploration and analysis (Source: Gartner). This innovation leads to a 30% increase in identified patterns and trends, resulting in improved ROI and enhanced business decision-making (IDC).

Data security protocols are paramount in this context, with Classification Algorithms and Clustering Algorithms ensuring data privacy and compliance alignment. Machine Learning Pipelines and Deep Learning Frameworks facilitate seamless integration with Predictive Modeling Tools and Automated Report Generation on Cloud

According to a survey from September 2024 that was conducted among people in Japan who use generative artificial intelligence (AI), **** percent of the respondents often used generative AI tools on the web. It was the most commoly given usage environment, ahead of generative AI apps and smartphone functions.

According to a survey from September 2024 that was conducted among people in Japan who use generative artificial intelligence (AI), **** percent of the respondents stated that using generative AI saves time and effort. It was the most commonly given merit of generative AI usage, ahead of text summaries and the experience of cutting-edge technology.

According to a survey conducted in Japan in March 2025, **** percent of those respondents who use generative artificial intelligence (AI) with a PC did so in order to create and improve texts. The share was lower among people who use generative AI with a smartphone or tablet.

Across the globe, there has been a near ** percent increase in generative AI use within organizations from 2023 to 2024. The greatest increase was seen in Europe and Greater China, where there has been a ** percent increase year-on-year.

Value or potential value created by Generative AI, by North American Industry Classification System (NAICS), business employment size, type of business, business activity and majority ownership, first quarter of 2024.

In 2024, a survey found that more than ** percent of employees in the Asia-Pacific region used generative AI (GenAI) for work purposes, with ** percent using GenAI tools every day. Meanwhile, nearly a third of employees in the region never used GenAI at work.

As of April 2024, search engines powered by artificial intelligence (AI) results were the preferred search tools among the majority of teens in the United States, with 20 percent of them using them every day. Around 27 percent of U.S. teens reported using chatbots for online search daily, while around 20 percent of survey respondents stated that they use AI tools for image generation each day. Overall, seven percent reported using image generators multiple times in a week, while five percent used video generators as often.

Commercial leaders in 2023 feel their organizations should be using machine learning and generative AI often or almost always within their organization. Uniformly, **** percent of respondents were expecting to use these technologies never or rarely.