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.

AI in Healthcare Statistics: AI in healthcare has been a hot topic for the past few years, and the report says that the industry is expected to reach $187.95 billion by the end of 2030. The fact of this platform in 2023 suggests a huge boom in the market size worldwide, with a compound annual increase rate (CAGR) of 40.1% from 2023 to 2030. The worldwide Artificial intelligence in the healthcare marketplace length changed into worth $20.65 billion in 2023 which has increased from last year. These AI in Healthcare Statistics include insights from various aspects and sources that will provide effective light on the importance of AI in the healthcare industry around the world in recent times. In 2023, the Market share records the gradual adoption of AI which is advancing the sector, and has been observed that 85% of organizations have already implemented AI. Additionally, 1/2 of the executives claimed that AI is indicating a tremendous shift inside and outside the industry. Aid of AI-based healthcare companies used solutions like telemedicine and remote tools and sensors backed by means of large information that can reduce healthcare charges improve access, and promote better outcomes, and performance. Key Takeaways According to AI in Healthcare Statistics, the platform when implemented Artificial Intelligence has experienced a huge increase, with a CAGR of 40.1% from 2023 to 2030 and a global market size expected to attain $187.95 billion by 2030. Around the world, approximately 40% of healthcare industries are regularly using AI and Machine Language in the sector. In 2023, Healthcare executives are increasingly adopting AI in their techniques, and nearly 1/2 of the executives surveyed are already using it. This is being adopted globally, with answers like telemedicine and faraway tools and sensors backed through huge information that could lessen healthcare charges and equitably improve admission to, results, and performance.

Introduction

DeepSeek AI Statistics: DeepSeek AI, founded by Liang Wenfeng in May 2023, has quickly emerged as a significant competitor in the global artificial intelligence market, particularly recognized for its cost-effective and large-scale models. Despite the strong presence of U.S.-based companies like OpenAI, DeepSeek made a notable entry into the international arena in January 2025. The company benefits from unique funding provided by High-Flyer, a quantitative hedge fund also established by Wenfeng. This support allows DeepSeek to focus on long-term projects without the influence of external investors.

The core team at DeepSeek is composed of young and talented graduates from top Chinese universities, providing a fresh perspective and a deep understanding of AI development. The company prioritizes technical skills over traditional experience in its hiring practices, fostering a culture of innovation and efficiency.

DeepSeek has achieved significant milestones, including the release of the DeepSeek Coder in November 2023, an open-source model designed for coding tasks. Following this, they launched the DeepSeek LLM, which features 67 billion parameters. In May 2024, they unveiled DeepSeek-V2, a model that sparked a price competition in the Chinese AI market due to its affordability and impressive performance. The success of this model led major Chinese tech companies to lower their prices in order to remain competitive.

(Source: github.com/deepseek-ai/DeepSeek-LLM)

The more advanced DeepSeek-Coder-V2 has been introduced, boasting 236 billion parameters and a context length capacity of up to 128,000 tokens. This model is available via an API, priced at USD 0.14 per million input tokens and USD 0.28 per million output tokens. This pricing structure highlights the company's commitment to providing accessible and efficient AI solutions.

AI incidents have grown by over ** percent from 2022, up to *** ethical incidents in 2023. This is based on the AI incident database (AIID) which tracks instances of ethical misuse of AI.

Discover more about the size and trends of the rapidly expanding generative AI market.

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).

Introduction

Grok AI Statistics: Grok AI is a significant contestant in the fast-growing field of artificial intelligence. Initiated in late 2023 by X, formerly known as Twitter, it offers a unique flavour and a blend of wit, real-time access to data, and advanced reasoning capabilities. In 2024, while generating an expanding user base, Grok AI also launched novel features that helped to set an original tone when measured against ChatGPT from OpenAI and Gemini from Google. This review unveils Grok AI statistics milestones and market opportunities surrounding, accounting for user acquisition, user engagement, and industry positioning.​

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 ******* of companies did not use any AI within their enterprise in 2023.

Introduction

Mistral AI Statistics:Â Founded in April 2023 by former DeepMind and Meta researchers, Mistral AI is a Paris-based startup specializing in open-source large language models. The company has rapidly ascended in the AI sector, securing a total of $1.2 billion across four funding rounds. Its Series B round in June 2024 raised $640 million, comprising $503 million in equity and $142 million in debt, elevating its valuation to $6 billion.

In addition to its funding success, Mistral AI has formed strategic partnerships to bolster its market presence. In February 2024, the company entered into a collaboration with Microsoft, which included a €15 million investment and the integration of Mistral's models into Microsoft's Azure platform. Furthermore, in July 2024, Mistral AI partnered with BNP Paribas to enhance the bank's operations in customer support, sales, and IT through the application of generative AI.

Mistral AI's flagship model, Mistral 7B, is a 7-billion-parameter open-source language model released in September 2023. The company continues to develop advanced AI models, positioning itself as a formidable competitor in the global AI landscape.

This article explores the Mistral AI statistics progress in 2024, highlighting some of the key achievements and opportunities along the growth path.

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.

Technology professionals in Asia had the highest weekly adoption of artificial intelligence (AI) tools with a rate of **** percent in 2023. In contrast, the United States had the lowest adoption rate of AI tools with only about ** percent.

During a 2024 global survey, over **** (or ** percent) of responding consumers chose the lack of a human being to connect with as a concern around brands using artificial intelligence (AI), up from **** percent of the respondents a year earlier. Approximately ** percent mentioned job losses, while ** percent cited the misuse of their personal data.

The Asia Pacific region expected the greatest amount of change from utilizing AI and ML technologies in supply lines from 2023 until 2025. The continent was more than three percent ahead of the next region, showing more dedication and capacity for AI usage in the supply chains.

In 2023, ChatGPT was the artificial intelligence (AI) tool that had the largest market share worldwide, eclipsing all other AI tools with a total of **** percent of the market. Far behind, in second place, was Character.AI with about ** percent of the market share.

According to a survey conducted in February 2023, 74 percent of the adults in the United States mentioned concerns about their data privacy in regards to artificial intelligence (AI). Overall, worries about AI-powered searched engines were very frequent among respondents, as 68 percent were concerned about misinformation and included in results from these tools while more than 63 percent of those expressed concerns about the accuracy of AI-generated results. Meanwhile, more than half of adults in the country were interested in AI-powered online search among other AI-related products.

Generative AI saw significant growth across financial services in 2024, with 52 percent of survey respondents reporting active use of the technology - up from 40 percent in 2023. The companies primary generative AI use case was enhancing customer experience and engagement, particularly through applications like chatbots, virtual assistants, and agent support tools.

Between 2023 and 2027, the majority of companies surveyed worldwide expect big data to have a more positive than negative impact on the global job market and employment, with ** percent of the companies reporting the technology will create jobs and * percent expecting the technology to displace jobs. Meanwhile, artificial intelligence (AI) is expected to result in more significant labor market disruptions, with ** percent of organizations expecting the technology to displace jobs and ** percent expecting AI to create jobs.

Per a survey carried out in July 2023, a majority of respondents in the United States, or ** percent, confirmed that they believe AI should be regulated and that they are concerned about deep fakes. As a result, many are less firm in their belief that AI is currently safe and secure, with concerns around AI use by government agencies.

A survey held among authors in the United States in 2023 found that of the ** percent of authors who reported using AI in their work, ** percent were using it as a grammar tool, and ** percent used AI to brainstorm plot ideas and characters. Under ** percent used artificial intelligence to generate the text of their work.

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).