As of June 2024, global Google searches for the word "ChatGPT" increased again after a slight decline by the end of 2024. Interest in the chatbot, developed by the U.S.-based OpenAI and launched in November 2022, started rising in the week ending December 3, 2022. Recently, growing demand for information on ChatGPT made the keyword hit a peak of 100 index points during the week ending on June 2, 2024. ChatGPT, which stands for Chat Generative Pre-trained Transformer, is a chatbot and AI-powered auto-generative text system able to give human-sounding replies and reproduce human-like interactions when prompted.

As of June 2024, global searches for the keyword "generative AI" had experienced an increase in the previous year. The search terms for generative artificial intelligence surged in popularity from mid-February to early March 2024, hitting a score of 100 index points in the week ending March 3. Interest in "generative AI" frequently coincides with searches for ChatGPT, an AI chatbot model developed by the United States-based research company OpenAI.

The rivalry between ChatGPT and Google Gemini defines the generative AI landscape. ChatGPT remains the leader in active engagement, while Gemini closes the gap through mass distribution. From corporate reports to web traffic studies, figures speak clearly about adoption, reach, and momentum. Explore what makes each platform stand out, and what...

A partir de febrero de 2022, las búsquedas globales de Google de la palabra ChatGPT se han disparado a nivel mundial en los tres meses previos. El interés en el chatbot comenzó a aumentar desde el * de diciembre de 2022, con un índice de búsqueda de **. La creciente demanda de información sobre ChatGPT llevó a que la palabra clave alcanzara su punto máximo de 100 puntos el ** de febrero de 2023.

Comparison of JAMA,EQIP, modified DISCERN and Global Quality Scale (GQS) ratings for the responses from ChatGPT-4o, Gemini, and Perplexity.

The paid language model market is experiencing explosive growth, driven by increasing demand for sophisticated AI-powered applications across various sectors. While precise market sizing data is unavailable, a reasonable estimate based on the rapid adoption of generative AI and the substantial investments from major tech companies suggests a 2025 market value exceeding $5 billion. This market is projected to achieve a compound annual growth rate (CAGR) of 35% through 2033, reaching an estimated market size of over $70 billion. Key drivers include the expanding need for automated content creation, improved customer service through AI chatbots, enhanced data analytics capabilities, and the development of innovative applications in fields like healthcare, finance, and education. The rise of large language models (LLMs) such as ChatGPT, PaLM, and LLaMA is fueling this growth, offering businesses powerful tools for natural language processing (NLP) tasks. The market is segmented by model type (e.g., conversational, generative, etc.), deployment (cloud, on-premise), application (e.g., chatbots, machine translation, code generation), and industry. While North America and Europe currently dominate, rapid growth is expected in Asia-Pacific, driven by increasing digitalization and technological advancements. However, challenges such as data privacy concerns, ethical considerations surrounding AI bias, and the high cost of development and deployment act as restraints. The competitive landscape is fiercely contested, with established tech giants like Google, Microsoft, and Amazon competing with innovative startups such as OpenAI, Cohere, and Anthropic. The continuous improvement in model accuracy, efficiency, and accessibility will shape the future of this dynamic market. Future growth will depend on addressing ethical concerns and ensuring responsible AI development.

The AI assistant app market is experiencing explosive growth, driven by increasing smartphone penetration, advancements in natural language processing (NLP), and the rising demand for personalized digital experiences. The market, estimated at $15 billion in 2025, is projected to maintain a robust Compound Annual Growth Rate (CAGR) of 25% through 2033, reaching an impressive $75 billion. This significant expansion is fueled by several key factors. Firstly, the proliferation of smart devices and increased internet connectivity creates a fertile ground for AI assistant adoption across various demographics. Secondly, continuous improvements in NLP algorithms empower these apps with enhanced comprehension and contextual awareness, resulting in more intuitive and helpful interactions. Finally, the diverse range of applications—from enterprise task management to personal scheduling and entertainment—broadens the market's appeal, attracting a wider user base. The segmentation reveals a strong presence across both operating systems (iOS and Android) and application types (enterprise, family, and personal), indicating a balanced market with opportunities across various user needs. The competitive landscape is highly dynamic, with established tech giants like Google, Apple, and Amazon competing alongside innovative startups such as Reclaim.ai and SlidesAI. This competition fosters innovation and drives continuous improvements in functionality, user experience, and integration with other services. However, challenges remain, including concerns about data privacy and security, the need for continuous improvement in accuracy and reliability, and the potential for market saturation as the technology matures. Successful players will need to focus on developing unique value propositions, forging strategic partnerships, and addressing user concerns to maintain a competitive edge in this rapidly evolving market. The regional breakdown, while not fully specified, suggests a strong market presence in developed economies, with opportunities for expansion in emerging markets as technological adoption increases.

The AI office software market is experiencing explosive growth, driven by increasing demand for automation, enhanced productivity, and intelligent data analysis within businesses of all sizes. The market, currently valued at approximately $15 billion in 2025, is projected to exhibit a robust Compound Annual Growth Rate (CAGR) of 25% from 2025 to 2033, reaching an estimated $75 billion by 2033. This surge is fueled by several key trends, including the rising adoption of cloud-based solutions, the integration of advanced AI capabilities like natural language processing (NLP) and machine learning (ML) into existing office suites, and the growing need for intelligent automation to streamline workflows and reduce operational costs. Key drivers include the increasing availability of affordable AI solutions, improved user experience, and the demonstrated ROI from increased efficiency and reduced human error. While data security concerns and the need for skilled professionals to implement and manage these systems present challenges, the overall market outlook remains strongly positive. The segment landscape is diverse, encompassing various applications such as AI-powered writing assistants (e.g., Anyword, Jasper, ChatGPT), search and research tools (e.g., Arc Search, Perplexity), video editing software (e.g., Descript, Runway, Wondershare Filmora), and AI-driven automation platforms (e.g., Zapier). Competition is fierce, with established tech giants like Google and Meta alongside innovative startups vying for market share. North America currently holds the largest regional market share due to early adoption and technological advancements, but the Asia-Pacific region is anticipated to exhibit significant growth in the coming years, driven by rapid digital transformation and increasing investment in AI technologies. Strategic partnerships, acquisitions, and continuous innovation in AI algorithms and user interfaces will be critical for companies to maintain their competitive edge in this dynamic and rapidly evolving market.

Large language models (LLMs), such as ChatGPT and DeepSeek, are increasingly used by patients for medical information about their health condition. While several studies have explored ChatGPT’s performance in spinal cord injury (SCI)-related queries, no direct comparison between GPT-4o and DeepSeek-V3 has been conducted in this context. The five most-searched SCI-related topics comprising of forty-eight questions were generated based on top Google Trends search terms. Responses were generated using GPT-4o and DeepSeek-V3, with three outputs per question. A total of two hundred and eighty-eight responses were independently evaluated by three Rehabilitation Physicians using the S.C.O.R.E. framework, which evaluates five domains: Safety, Consensus with Guidelines, Objectivity, Reproducibility, and Explainability on a 5-point Likert scale. Paired t-tests were used to compare model performance. Both models achieved high ratings for Safety and Consensus with Guidelines. DeepSeek-V3 scored slightly but significantly higher in Objectivity (P = 0.014), Reproducibility (P = 0.007), and Explainability (P 

As of March 2025, Google represented 79.1 percent of the global online search engine market on desktop devices. Despite being much ahead of its competitors, this represents the lowest share ever recorded by the search engine in these devices for over two decades. Meanwhile, its long-time competitor Bing accounted for 12.21 percent, as tools like Yahoo and Yandex held shares of over 2.9 percent each. Google and the global search market Ever since the introduction of Google Search in 1997, the company has dominated the search engine market, while the shares of all other tools has been rather lopsided. The majority of Google revenues are generated through advertising. Its parent corporation, Alphabet, was one of the biggest internet companies worldwide as of 2024, with a market capitalization of 2.02 trillion U.S. dollars. The company has also expanded its services to mail, productivity tools, enterprise products, mobile devices, and other ventures. As a result, Google earned one of the highest tech company revenues in 2024 with roughly 348.16 billion U.S. dollars. Search engine usage in different countries Google is the most frequently used search engine worldwide. But in some countries, its alternatives are leading or competing with it to some extent. As of the last quarter of 2023, more than 63 percent of internet users in Russia used Yandex, whereas Google users represented little over 33 percent. Meanwhile, Baidu was the most used search engine in China, despite a strong decrease in the percentage of internet users in the country accessing it. In other countries, like Japan and Mexico, people tend to use Yahoo along with Google. By the end of 2024, nearly half of the respondents in Japan said that they had used Yahoo in the past four weeks. In the same year, over 21 percent of users in Mexico said they used Yahoo.

The AI Question-Answering Systems market is experiencing robust growth, driven by the increasing demand for automated customer service, enhanced data analysis capabilities, and the proliferation of intelligent virtual assistants across various industries. The market, estimated at $8 billion in 2025, is projected to experience a Compound Annual Growth Rate (CAGR) of approximately 25% from 2025 to 2033, reaching an estimated market value of $40 billion by 2033. This significant expansion is fueled by several key factors, including advancements in Natural Language Processing (NLP) and Machine Learning (ML) technologies, the rising adoption of cloud-based AI solutions, and the growing need for businesses to improve operational efficiency and customer experiences. Major players like IBM Watson, Google AI, and Microsoft Azure AI are leading the market, constantly innovating and expanding their offerings to cater to diverse applications across sectors including healthcare, finance, and education. The market segmentation reveals a strong demand across various sectors, with healthcare and finance demonstrating particularly significant growth due to their reliance on precise and efficient information retrieval. While challenges remain, such as ensuring data security and addressing ethical concerns related to AI bias, the overall market trajectory suggests continued expansion. The increasing availability of large datasets, coupled with advancements in deep learning algorithms, promises to further refine the accuracy and efficiency of AI question-answering systems, unlocking new possibilities in various application domains and driving future market growth. The competitive landscape remains dynamic, with both established technology giants and emerging startups vying for market share through continuous innovation and strategic partnerships. This competition ultimately benefits consumers and businesses alike, leading to improved product offerings and faster adoption of AI-powered question-answering solutions.

The Large Language Model (LLM) market is experiencing explosive growth, driven by advancements in deep learning and the increasing availability of large datasets. The market, currently estimated at $15 billion in 2025, is projected to achieve a Compound Annual Growth Rate (CAGR) of 40% from 2025 to 2033, reaching an impressive $200 billion by 2033. This rapid expansion is fueled by several key factors. Firstly, the diverse applications of LLMs across various sectors, including chatbots, content creation, language translation, code generation, and even medical diagnosis, are driving substantial demand. Secondly, the continuous improvement in model accuracy and efficiency, with the emergence of models exceeding 100 billion parameters, is attracting significant investment and accelerating adoption. Finally, major tech giants like Google, OpenAI, and Microsoft, along with numerous emerging players, are fueling innovation and competition, making LLMs increasingly accessible and affordable. However, several challenges remain. The high computational cost associated with training and deploying large LLMs presents a significant barrier to entry for smaller companies. Ethical concerns surrounding bias, misinformation, and misuse of LLMs also need careful consideration and mitigation. Regulatory uncertainty around data privacy and intellectual property rights could further impact market growth. Despite these hurdles, the long-term prospects for the LLM market remain exceptionally positive. Ongoing research and development, coupled with increasing demand from diverse industries, suggest that the market will continue its rapid expansion in the coming years, with substantial opportunities for innovation and investment. The segmentation by application and parameter size allows for a nuanced understanding of the market, with the ‘Above 100 Billion Parameters’ segment expected to dominate due to its superior performance capabilities. Geographical expansion, particularly in rapidly developing economies like India and China, will also play a significant role in the market’s overall growth.