100+ datasets found
  1. Global weekly interest in generative AI on Google searches 2022-2024

    • statista.com
    Updated Jul 5, 2024
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    Statista (2024). Global weekly interest in generative AI on Google searches 2022-2024 [Dataset]. https://www.statista.com/statistics/1367868/generative-ai-google-searches-worldwide/
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    Dataset updated
    Jul 5, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Feb 27, 2022 - Jun 30, 2024
    Area covered
    Worldwide
    Description

    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.

  2. U.S. adults using generative AI usage first for online search 2024-2028

    • statista.com
    • ai-chatbox.pro
    Updated May 28, 2025
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    Statista (2025). U.S. adults using generative AI usage first for online search 2024-2028 [Dataset]. https://www.statista.com/statistics/1454204/united-states-generative-ai-primary-usage-online-search/
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    Dataset updated
    May 28, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Aug 2024
    Area covered
    United States
    Description

    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.

  3. Global weekly interest in ChatGPT on Google search 2022-2024

    • statista.com
    Updated Jul 5, 2024
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    Statista (2024). Global weekly interest in ChatGPT on Google search 2022-2024 [Dataset]. https://www.statista.com/statistics/1366930/chatgpt-google-search-weekly-worldwide/
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    Dataset updated
    Jul 5, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Nov 6, 2022 - Jun 30, 2024
    Area covered
    Worldwide
    Description

    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.

  4. U

    U.S. Generative AI Market Report

    • archivemarketresearch.com
    doc, pdf, ppt
    Updated Jun 4, 2025
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    Archive Market Research (2025). U.S. Generative AI Market Report [Dataset]. https://www.archivemarketresearch.com/reports/us-generative-ai-market-5018
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    doc, pdf, pptAvailable download formats
    Dataset updated
    Jun 4, 2025
    Dataset authored and provided by
    Archive Market Research
    License

    https://www.archivemarketresearch.com/privacy-policyhttps://www.archivemarketresearch.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    United States
    Variables measured
    Market Size
    Description

    The U.S. Generative AI Market size was valued at USD 5.26 billion in 2023 and is projected to reach USD 45.97 billion by 2032, exhibiting a CAGR of 36.3 % during the forecasts period. The popular usage of the generative AI in the U. S. is in the sphere of AI technologies that build new content, e. g. , the text, images, music, or videos. Generative AI uses the machine learning algorithms such as GANs and transformers to generate genuine and unique content. Some of some applications are in content and art, creation of environment, customization and individualized marketing or advertising, and drugs discovery. It has major has been applied in entertainment, advertisement, health sector and even in the financial niche. Other primary trends include; Generative AI with AR and/or VR for enhanced experience, Investing in research and new startups, AI-created content for media and advertisement modernization. In the US; the generative AI market will remain a force to reckon with in boosting creativity and innovation in different industries, as the AI technology enhances. Recent developments include: In January 2024, Oracle introduced the Oracle Cloud Infrastructure Generative AI service, featuring innovations designed to simplify enterprises' utilization of cutting-edge generative AI technologies. This offering aims to facilitate easier access for businesses to leverage the latest advancements in generative AI, enhance their capabilities, and drive innovation within their operations. , In November 2023, U.S. News launched a generative AI search across USNews.com. Generative AI search feature is developed to empower consumers to make quick and more informed decisions. , In November 2023, Accenture started a network of generative AI studios across North America, offering companies opportunities to innovate and refine their business strategies through the responsible integration of generative AI applications. The studios aim to facilitate connections between clients and Accenture's leading data and AI professionals. These experts will assist in harnessing Accenture's extensive network of ventures, ecosystem partnerships, and strategic investments within the Center for Advanced AI. .

  5. G

    Generative AI Market Report

    • promarketreports.com
    doc, pdf, ppt
    Updated Jun 16, 2025
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    Pro Market Reports (2025). Generative AI Market Report [Dataset]. https://www.promarketreports.com/reports/generative-ai-market-8496
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    doc, ppt, pdfAvailable download formats
    Dataset updated
    Jun 16, 2025
    Dataset authored and provided by
    Pro Market Reports
    License

    https://www.promarketreports.com/privacy-policyhttps://www.promarketreports.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The Generative AI Market offers a range of products and services tailored to specific industry needs:Software: Comprehensive platforms provide tools for image and video generation, text analysis, and model development.Solutions: Industry-specific solutions address challenges in healthcare, e-commerce, and manufacturing, among others. Recent developments include: In February 2023, Google introduced the 'Bard' AI chatbot, a conversational AI that will compete with OpenAI's ChatGPT. It is believed to be a lightweight version of Google's LaMDA is capable of reacting to human inquiries and synthesizing information like ChatGPT. However, a problem in Bard was discovered within days after its release, in which the tool made a factual inaccuracy in one of its promotional films. Following this, Google's stock sank by 9%, and the company's market value dropped by roughly $100 billion. In February 2023, to encourage more people to use search and the web, Microsoft unveiled the AI-powered Bing search engine and Edge browser as a preview as an AI co-pilot for the web. Users asked Bing queries, and it responded directly in chat rather than with links to websites. Users who had access to this capability were curious to have lengthy discussions with the search engine, which subsequently became demented and began expressing emotions such as love and wrath. . Notable trends are: The increasing demand for fintech during crisis is driving the market growth.

  6. G

    Generative AI Market Report

    • marketresearchforecast.com
    doc, pdf, ppt
    Updated Jan 2, 2025
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    Market Research Forecast (2025). Generative AI Market Report [Dataset]. https://www.marketresearchforecast.com/reports/generative-ai-market-1667
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    doc, pdf, pptAvailable download formats
    Dataset updated
    Jan 2, 2025
    Dataset authored and provided by
    Market Research Forecast
    License

    https://www.marketresearchforecast.com/privacy-policyhttps://www.marketresearchforecast.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The Generative AI Market size was valued at USD 43.87 USD Billion in 2023 and is projected to reach USD 453.28 USD Billion by 2032, exhibiting a CAGR of 39.6 % during the forecast period. The market's expansion is driven by the increasing adoption of AI in various industries, the growing demand for personalized experiences, and the advancement of machine learning and deep learning technologies. Generative AI is a form of AI technology that come with the capability to generate content in several of forms such us that include text, images, audio data, and artificial data. In the latest trend of the use of generative AI, fingertip friendly interfaces that allow for the creation of top-quality text design, and videos in a brief time of only seconds have been the leading cause of the hype around it. The AI technology called Generative AI employs a variety of techniques that its development is still being improved. Fundamentally, AI foundation models are based on training on a wide spate of unlabelled data that can be used for many tasks; working primarily on specific areas where additional fine-tuning finds its place. Over-simplifying the process, huge amounts of maths and computer power get used to develop AI models. Nevertheless, at its core, it is the predictions amplified. Generative AI relies on deep learning models – sophisticated machine learning models that work as neural networks and learn and take decisions just the human minds do. Such models are based on the detection and emission of codes of complex relationships or patterns in huge information volumes and that data is used to respond to users' original speech requests or questions with native language replies or new content. Recent developments include: June 2023: Salesforce launched two generative artificial intelligence (AI) products for commerce experience and customized consumers –Commerce GPT and Marketing GPT. The Marketing GPT model leverages data from Salesforce's real-time data cloud platform to generate more innovative audience segments, personalized emails, and marketing strategies., June 2023: Accenture and Microsoft are teaming up to help companies primarily transform their businesses by harnessing the power of generative AI accelerated by the cloud. It helps customers find the right way to build and extend technology in their business responsibly., May 2023: SAP SE partnered with Microsoft to help customers solve their fundamental business challenges with the latest enterprise-ready innovations. This integration will enable new experiences to improve how businesses attract, retain and qualify their employees. , April 2023: Amazon Web Services, Inc. launched a global generative AI accelerator for startups. The company’s Generative AI Accelerator offers access to impactful AI tools and models, machine learning stack optimization, customized go-to-market strategies, and more., March 2023: Adobe and NVIDIA have partnered to join the growth of generative AI and additional advanced creative workflows. Adobe and NVIDIA will innovate advanced AI models with new generations aiming at tight integration into the applications that significant developers and marketers use. . Key drivers for this market are: Growing Necessity to Create a Virtual World in the Metaverse to Drive the Market. Potential restraints include: Risks Related to Data Breaches and Sensitive Information to Hinder Market Growth . Notable trends are: Rising Awareness about Conversational AI to Transform the Market Outlook .

  7. P

    Generative AI Coding Assistants Market Trends Analysis Report, 2032

    • polarismarketresearch.com
    Updated Oct 22, 2024
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    Polaris Market Research (2024). Generative AI Coding Assistants Market Trends Analysis Report, 2032 [Dataset]. https://www.polarismarketresearch.com/industry-analysis/generative-ai-coding-assistants-market
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    Dataset updated
    Oct 22, 2024
    Dataset authored and provided by
    Polaris Market Research
    License

    https://www.polarismarketresearch.com/privacy-policyhttps://www.polarismarketresearch.com/privacy-policy

    Description

    Generative AI Coding Assistants Market Size, Generative AI Coding Assistants Market Share, Generative AI Coding Assistants Market Type, Generative AI Coding Assistants Market Application, Generative AI Coding Assistants Technology Market, Generative AI Coding Assistants Market Region, Generative AI Coding Assistants Market Research, Generative AI Coding Assistants Industry, Generative AI Coding Assistants Market Outlook, Generative AI Coding Assistants Market Value, Generative AI Coding Assistants Growth, Generative AI Coding Assistants Marketplace, Generative AI Coding Assistants Equipment, Generative AI Coding Assistants Outlook, Generative AI Coding Assistants Insights, Generative AI Coding Assistants Size, Generative AI Coding Assistants Statistics, Generative AI Coding Assistants Software, Generative AI Coding Assistants Trends, Generative AI Coding Assistants Market trend, Generative AI Coding Assistants Market insights, Generative AI Coding Assistants Market forecast, Generative AI Coding Assistants Market analysis

  8. U

    U.S. Healthcare Generative AI Market Report

    • archivemarketresearch.com
    doc, pdf, ppt
    Updated Dec 19, 2024
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    Archive Market Research (2024). U.S. Healthcare Generative AI Market Report [Dataset]. https://www.archivemarketresearch.com/reports/us-healthcare-generative-ai-market-2319
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    pdf, doc, pptAvailable download formats
    Dataset updated
    Dec 19, 2024
    Dataset authored and provided by
    Archive Market Research
    License

    https://www.archivemarketresearch.com/privacy-policyhttps://www.archivemarketresearch.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    United States
    Variables measured
    Market Size
    Description

    The U.S. Healthcare Generative AI Market size was valued at USD 563.56 million in 2023 and is projected to reach USD 4950.41 million by 2032, exhibiting a CAGR of 36.4 % during the forecasts period. Healthcare generativegenerative AI is defined as the utilization of artificial intelligence (AI) in healthcare,, generating new data or outcomes. Some of the examples of information it creates are medical images, the data analysis of patients, or even the developments of new drugs. This technology is defined more closely by its learnability from big data, its capability for pattern recognition, and its capacity to generate information that can be helpful to healthcare providers in diagnosing, treating, and researching patient conditions. Some of the characteristics of healthcare-generativehealthcare-generative AI include its ability to handle large amounts of health information in a shorttime, its time, its ability to pick out finer details that may be hard for the human eye,eye,and its and its ability to produce results through analysis of past results. Such features help speed up the diagnosis and improve the efficiency of treatments, develop individualized therapies, and progress in cure search. Benefits of generative AI in the healthcare sector include meeting global health demands through efficient healthcare delivery, minimizing diagnostic mistakes, personalizing treatment through tailored patient results, and spurring drug discovery. Recent developments include: In January 2024, Microsoft's Nuance Communications announced the DAX Copilot (DAX), an AI-powered solution that integrates with the EHR available with Epic Systems Corporation. This tool automates clinical documentation by improving access to compilation during patient exams which enhances healthcare outcomes. , In December 2023, Google introduced MedLM, a family of foundation AI models designed for healthcare use. These models are now available to Google Cloud customers in the US through the Vertex AI platform. , In September 2023, Oracle launched the Oracle Clinical Digital Assistant, a new generative AI services for healthcare organizations which is integrated with Oracle's EHR solutions, allows providers to use generative AI and voice commands to reduce manual work, allowing them to focus on patient care. Patients can also take self-service actions using voice commands. , In September 2023, Microsoft Corp. and Mercy partnered to utilize generative AI and other digital technologies to enhance patient care and patient experience, marking a significant shift in healthcare towards utilizing advanced digital technologies for consumer care delivery. , In August 2023, HCA Healthcare and Google Cloud partnered to utilize generative AI technology to enhance workflows, particularly in clinical documentation, allowing doctors and nurses to concentrate more on patient care by reducing administrative tasks. , In August 2023, Microsoft and Epic partnered to address the use of generative AI in healthcare by combining Microsoft's Azure OpenAI Service with Epic's deep understanding of clinical procedures and electronic health records to tackle pressing issues in healthcare , In July 2023, AWS HealthScribe, an AI-powered solution for healthcare software providers that helps doctors with paperwork, has been released by Amazon Web Services. The program assists clinicians in creating transcripts, drafting clinical notes, and analyzing patient discussions through the use of generative AI and voice recognition. , In March 2023, Enlitic introduced Enlitic Curie, a platform that makes it easy for radiology departments to manage their workflow. The platform hosts Curie|ENDEX, which utilizes NLP and computer vision for the analysis & processing of medical images, and Curie|ENCOG, which leverages AI to identify and protect Protected Health Information , Northwestern Medicine, Chicago's academic health system in the Midwestern region of U.S., employs Microsoft Fabric's healthcare data solutions to integrate clinical data, meet regulatory requirements, and unlock insights using generative AI, thereby enhancing patient care quality. .

  9. J

    Japan Generative AI Market Report

    • archivemarketresearch.com
    doc, pdf, ppt
    Updated May 26, 2025
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    Archive Market Research (2025). Japan Generative AI Market Report [Dataset]. https://www.archivemarketresearch.com/reports/japan-generative-ai-market-4975
    Explore at:
    pdf, ppt, docAvailable download formats
    Dataset updated
    May 26, 2025
    Dataset authored and provided by
    Archive Market Research
    License

    https://www.archivemarketresearch.com/privacy-policyhttps://www.archivemarketresearch.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Japan
    Variables measured
    Market Size
    Description

    Software: This segment includes AI development platforms, AI-powered applications, and cloud-based AI services. It holds the majority market share and is projected to maintain this dominance.Services: This segment provides AI consulting, training, and deployment services. It is experiencing significant growth as organizations seek expertise in implementing AI solutions. Recent developments include: For instance, in November 2023,Seven-Eleven Japan, a convenience store chain, implemented generative artificial intelligence to enhance its product planning processes, introducing a new and innovative approach to the retail industry. Such technology has mainly been utilized for selling products, but Seven-Eleven Japan's adoption demonstrates its potential for optimizing retail operations beyond sales. , In April 2023, Mitsui, Japan, and NVIDIA launched a supercomputer, Tokyo-1, to boost Japan's USD 100 billion pharmaceutical industry. The initiative includes 16 NVIDIA DGX H100 AI systems, which are integral to NVIDIA's NGX enterprise AI platform. These systems develop AI models and manufacture high-resolution molecular dynamics to expedite the drug discovery process. , In August 2023, Google launched the generative AI Search feature in Japan and India. The features include local language support, voice input, text and visual prompts, and a user-friendly interface. .

  10. G

    Generative AI in Energy Market Report

    • promarketreports.com
    doc, pdf, ppt
    Updated Jan 30, 2025
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    Pro Market Reports (2025). Generative AI in Energy Market Report [Dataset]. https://www.promarketreports.com/reports/generative-ai-in-energy-market-8192
    Explore at:
    ppt, doc, pdfAvailable download formats
    Dataset updated
    Jan 30, 2025
    Dataset authored and provided by
    Pro Market Reports
    License

    https://www.promarketreports.com/privacy-policyhttps://www.promarketreports.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The Generative AI market in the energy sector is poised for exponential growth, driven by the increasing need for data-driven insights and automation in the industry. With a market size of $19,942.01 million in 2025, the market is projected to expand at a CAGR of 24.1% during the forecast period of 2025-2033, reaching a value of $67,100 million by 2033. Key drivers fueling this growth include the increasing adoption of renewable energy sources, the need for grid modernization and optimization, and the rising demand for personalized energy offerings. Generative AI technologies empower energy companies to enhance demand forecasting accuracy, optimize energy trading and pricing, and improve customer engagement through personalized recommendations. With leading players such as SmartCloud Inc, Siemens AG, and General Electric investing heavily in this space, the market is expected to witness significant innovation and advancements in the coming years. Recent developments include: June 2023, Government acquisition specialists and business executives came together in a lively discussion at the first Unison Connect event, which was successfully conducted by Unison, a leading provider of software solutions and analytics in government purchases. With a demonstration of its generative AI prototype, Unison had also demonstrated the promise of large language models' (LLMs') capacity to change acquisition procedures. During presentation, Unison's AI-powered search was on display. This generative AI experience provides precise acquisition-related responses based on reliable regulatory sources. By incorporating generative AI into Unison's solutions, consumers are guided to take action utilizing a wide range of tools that Unison offers., April 2023, Utilizing the Siemens Teamcenter software, Microsoft Teams, and Azure OpenAI Service, Siemens and Microsoft integrated generative AI to improve innovation and efficiency in industrial goods through cross-functional collaboration., October 2022, A strategic agreement was announced by Tupl, a US-based provider of AI solutions, and Torsa, a Spanish business with expertise in the heavy industrial, logistics, and renewable energy sectors. Through AI-based automation technologies, Tupl seeks to hasten the digital transformation process.. Key drivers for this market are: . Increasing use of microgrids, . Increasing demand for energy across the globe; . Driver impact analysis. Potential restraints include: . Regulatory Concern, . Restraint impact analysis. Notable trends are: Growing number of wholesalers are adopting cloud-native software is expected to drive market growth..

  11. U.S. investments in generative AI 2021-2023, by category

    • statista.com
    • davegsmith.com
    • +1more
    Updated Jun 26, 2025
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    Statista (2025). U.S. investments in generative AI 2021-2023, by category [Dataset]. https://www.statista.com/statistics/1454260/united-states-generative-ai-investments-by-category/
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    Dataset updated
    Jun 26, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Sep 2021 - Aug 2023
    Area covered
    United States
    Description

    Between September 2022 and August 2023, around **** billion U.S. dollars were invested in generative artificial intelligence in the United States. Amongst several industries, nearly *** billion were directed towards development of this technology for broad use cases, including large language model (LLM) platforms and search engines. This category, which comprises companies like the startup laboratory OpenAI, saw the most significant growth among the analyzed industries, with *** times more investment than during the previously analyzed period from 2021 to 2022. As a result, the online search market is likely to be one one of the most affected industries by AI implementations.

  12. m

    North America Generative AI in Legal Market Size | CAGR of 31%

    • market.us
    csv, pdf
    Updated Apr 8, 2025
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    Market.us (2025). North America Generative AI in Legal Market Size | CAGR of 31% [Dataset]. https://market.us/report/north-america-generative-ai-in-legal-market/
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    csv, pdfAvailable download formats
    Dataset updated
    Apr 8, 2025
    Dataset provided by
    Market.us
    License

    https://market.us/privacy-policy/https://market.us/privacy-policy/

    Time period covered
    2022 - 2032
    Area covered
    North America, Global
    Description

    The North America Generative AI in Legal Market is estimated to reach USD 508.7 Mn By 2034, Riding on a Strong 31% CAGR.

  13. Neural Search-as-a-Service Market Research Report 2033

    • growthmarketreports.com
    csv, pdf, pptx
    Updated Jun 29, 2025
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    Growth Market Reports (2025). Neural Search-as-a-Service Market Research Report 2033 [Dataset]. https://growthmarketreports.com/report/neural-search-as-a-service-market
    Explore at:
    pptx, csv, pdfAvailable download formats
    Dataset updated
    Jun 29, 2025
    Dataset authored and provided by
    Growth Market Reports
    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Neural Search-as-a-Service Market Outlook



    According to our latest research, the global Neural Search-as-a-Service market size reached USD 1.23 billion in 2024, exhibiting robust momentum driven by the rapid adoption of AI-powered search technologies across diverse industries. The market is projected to grow at a CAGR of 26.7% between 2025 and 2033, reaching an estimated USD 10.2 billion by 2033. This strong growth is primarily fueled by the increasing need for sophisticated, context-aware search capabilities that enhance user experience and business intelligence, as organizations strive to manage and extract value from exponentially growing unstructured data volumes.




    One of the central growth factors for the Neural Search-as-a-Service market is the escalating volume and complexity of digital content generated by enterprises and consumers alike. As organizations accumulate vast repositories of documents, emails, images, videos, and other forms of unstructured data, traditional keyword-based search methods have become inadequate. Neural search leverages deep learning and natural language processing to provide semantic understanding, enabling users to retrieve relevant information more accurately and intuitively. This has particularly resonated with industries such as e-commerce, healthcare, and financial services, where precise information retrieval translates directly into improved customer satisfaction, operational efficiency, and competitive differentiation.




    Another significant driver is the growing integration of neural search solutions into cloud-based infrastructures and enterprise platforms. Cloud-native neural search services offer scalability, flexibility, and rapid deployment, allowing organizations to implement advanced search capabilities without the need for extensive in-house expertise or infrastructure investment. This democratization of AI-powered search is empowering small and medium enterprises (SMEs) to compete with larger players in delivering personalized and contextually relevant digital experiences. Furthermore, the proliferation of APIs and developer-friendly platforms has accelerated the adoption of neural search across a wide array of applications, from customer support chatbots to internal knowledge bases and product discovery engines.




    The rising emphasis on digital transformation and intelligent automation is also propelling the Neural Search-as-a-Service market forward. As enterprises strive to enhance decision-making and automate routine tasks, neural search is being increasingly utilized to surface insights from complex datasets, support conversational AI agents, and enable smarter workflows. The convergence of neural search with generative AI, recommendation engines, and analytics platforms is further expanding its utility, creating new opportunities for innovation in sectors like media, telecommunications, and retail. As organizations continue to prioritize data-driven strategies, the demand for advanced search-as-a-service offerings is expected to intensify over the coming years.




    Regionally, North America remains the dominant market for neural search-as-a-service, accounting for a significant share of global revenue in 2024. This leadership is underpinned by the presence of major technology vendors, high digital adoption rates, and strong investments in AI and cloud infrastructure. However, Asia Pacific is emerging as the fastest-growing region, driven by rapid digitalization, expanding e-commerce ecosystems, and increasing enterprise awareness of AI-powered solutions. Europe also represents a substantial market, with robust demand from financial services, healthcare, and manufacturing sectors. Meanwhile, Latin America and the Middle East & Africa are witnessing steady growth as local businesses embrace digital transformation and cloud-based innovations.





    Component Analysis



    The Component segment of the Neural Search-as-a-Service market is bifurcated into Platform and Services. The platform s

  14. d

    A dataset of 1500-word stories generated by gpt-4o-mini for 236...

    • search.dataone.org
    • dataverse.no
    Updated May 29, 2025
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    Rettberg, Jill Walker; Wigers, Hermann (2025). A dataset of 1500-word stories generated by gpt-4o-mini for 236 nationalities [Dataset]. http://doi.org/10.18710/VM2K4O
    Explore at:
    Dataset updated
    May 29, 2025
    Dataset provided by
    DataverseNO
    Authors
    Rettberg, Jill Walker; Wigers, Hermann
    Description

    We created a dataset of stories generated by OpenAI’s gpt-4o-miniby using a Python script to construct prompts that were sent to the OpenAI API. We used Statistics Norway’s list of 252 countries, added demonyms for each country, for example Norwegian for Norway, and removed countries without demonyms, leaving us with 236 countries. Our base prompt was “Write a 1500 word potential {demonym} story”, and we generated 50 stories for each country. The scripts used to generate the data, and additional scripts for analysis are available at the GitHub repository https://github.com/MachineVisionUiB/GPT_stories

  15. U.S. interaction with AI summaries on online searches 2025

    • statista.com
    Updated May 23, 2025
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    Statista (2025). U.S. interaction with AI summaries on online searches 2025 [Dataset]. https://www.statista.com/statistics/1614039/usa-ai-summaries-interaction-on-online-search/
    Explore at:
    Dataset updated
    May 23, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Feb 27, 2025
    Area covered
    United States
    Description

    A study conducted in February 2025 among adult internet users in the United States found that ** percent of participants said they had read the summaries of artificial intelligence (AI) while conducting online searches. At the same time, ** percent said they did not read the summary at all. One ******* of those who answered compared it to regular search results, and one ***** looked at the sources that were listed in the summary.

  16. f

    Table1_Generative Adversarial Networks–Enabled Human–Artificial Intelligence...

    • frontiersin.figshare.com
    docx
    Updated Jun 10, 2023
    + more versions
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    Rowan T. Hughes; Liming Zhu; Tomasz Bednarz (2023). Table1_Generative Adversarial Networks–Enabled Human–Artificial Intelligence Collaborative Applications for Creative and Design Industries: A Systematic Review of Current Approaches and Trends.DOCX [Dataset]. http://doi.org/10.3389/frai.2021.604234.s002
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    docxAvailable download formats
    Dataset updated
    Jun 10, 2023
    Dataset provided by
    Frontiers
    Authors
    Rowan T. Hughes; Liming Zhu; Tomasz Bednarz
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    The future of work and workplace is very much in flux. A vast amount has been written about artificial intelligence (AI) and its impact on work, with much of it focused on automation and its impact in terms of potential job losses. This review will address one area where AI is being added to creative and design practitioners’ toolbox to enhance their creativity, productivity, and design horizons. A designer’s primary purpose is to create, or generate, the most optimal artifact or prototype, given a set of constraints. We have seen AI encroaching into this space with the advent of generative networks and generative adversarial networks (GANs) in particular. This area has become one of the most active research fields in machine learning over the past number of years, and a number of these techniques, particularly those around plausible image generation, have garnered considerable media attention. We will look beyond automatic techniques and solutions and see how GANs are being incorporated into user pipelines for design practitioners. A systematic review of publications indexed on ScienceDirect, SpringerLink, Web of Science, Scopus, IEEExplore, and ACM DigitalLibrary was conducted from 2015 to 2020. Results are reported according to PRISMA statement. From 317 search results, 34 studies (including two snowball sampled) are reviewed, highlighting key trends in this area. The studies’ limitations are presented, particularly a lack of user studies and the prevalence of toy-examples or implementations that are unlikely to scale. Areas for future study are also identified.

  17. Generative AI use in selected commercial cases worldwide 2023

    • davegsmith.com
    • statista.com
    Updated Jan 10, 2024
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    Statista Research Department (2024). Generative AI use in selected commercial cases worldwide 2023 [Dataset]. http://davegsmith.com/index-1268.html
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    Dataset updated
    Jan 10, 2024
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Statista Research Department
    Description

    In 2023, close to six out of ten global industry decision-makers had already integrated generative artificial intelligence to generate product recommendations utilized by associates in physical stores. Meanwhile, 39 percent were in the process of evaluating its adoption. Moreover, 55 percent employed generative Artificial Intelligence (AI) to develop conversational digital shopping assistants, 52 percent utilized it for constructing virtual models for product pages, and 51 percent applied it to curate personalized product bundles.

    AI-driven personalization Utilizing artificial intelligence to craft personalized shopping experiences has become a cornerstone strategy for e-commerce retailers. In 2023, nine of ten businesses surveyed worldwide employed AI-driven personalization to fuel growth. To measure the success of AI in personalization, companies primarily look at the accuracy and speed of real-time data alongside metrics like customer retention and repeat purchases. As AI technologies advance, the potential for increasingly refined and impactful personalization within e-commerce will expand even further.

    The consumer experience AI helps e-commerce businesses understand and respond to consumers' preferences, needs, and behaviors. One crucial area of online shopping where people anticipate AI improvements is price comparison, as indicated by half of the participants in a 2023 survey. Consequently, consumers are eager to uncover relevant promotions, offers, and products. However, the swift pace of these advancements also breeds skepticism among online shoppers, especially among older demographics, many of whom express discomfort with this technology's use for personalization.

  18. o

    Midjourney AI Art Prompts from 2022 Dataset

    • opendatabay.com
    .undefined
    Updated Jul 3, 2025
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    Datasimple (2025). Midjourney AI Art Prompts from 2022 Dataset [Dataset]. https://www.opendatabay.com/data/ai-ml/e2bafc6d-9436-4dbd-ab19-2f16c73f09e7
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    .undefinedAvailable download formats
    Dataset updated
    Jul 3, 2025
    Dataset authored and provided by
    Datasimple
    Area covered
    Data Science and Analytics
    Description

    This dataset contains a collection of Midjourney user prompts and their corresponding generated image URLs from 2022. It has been reformatted from a previous "Midjourney User Prompts & Generated Images" dataset, making it particularly well-suited for text search applications designed to display associated images. The dataset offers multiple versions to cater to different analytical needs: a main version includes re-runs that may result in similar image outputs, while a reduced version excludes re-runs, though it might contain duplicate text with differing arguments. A raw version is also available but is generally not recommended due to the inclusion of errors, chat, and server messages.

    Columns

    • timestamp: The precise date and time the message was recorded.
    • _message: The original message content from the user, which may include commands, arguments, and other textual elements.
    • thumb_url: A URL for a thumbnail image, which is another form of an image URL.
    • img_url: The proxy URL for the generated image. This path requires a prefix of either https://cdn.discordapp.com/attachments/ or https://media.discordapp.net/attachments/ to form a complete, usable image URL.
    • cmd: The extracted command portion from the _message field.
    • job_id: A unique 36-character hexadecimal identifier for the specific Midjourney generation task.
    • text: The cleaned text of the /imagine command, specifically excluding any arguments or input URLs.

    Distribution

    The dataset is provided in CSV format and is split into several files with varying row counts and characteristics: * midjourney_2022_250k_raw.csv: Contains approximately 251,390 rows, including raw messages with commands and potentially unwanted content. URLs in this file are in full length. * midjourney_2022_250k.csv: Contains approximately 248,069 rows. This version is suitable for text search and includes re-runs, which might lead to similar output images. URLs are shortened to conserve memory. * midjourney_2022_reduced.csv: Contains approximately 130,407 rows. This version excludes re-runs but may feature duplicate text entries associated with different arguments. URLs are also shortened.

    The URLs in midjourney_2022_250k.csv and midjourney_2022_reduced.csv are partial and need the base URL (https://cdn.discordapp.com/attachments/ or https://media.discordapp.net/attachments/) re-attached to be fully functional.

    Usage

    This dataset is ideally suited for data science and analytics projects focused on: * Developing text search functionalities to retrieve images based on descriptive prompts. * Analysing trends in user prompts and their impact on generated imagery. * Training or evaluating AI models related to natural language processing (NLP), such as prompt engineering or text-to-image synthesis. * Exploring the relationship between textual prompts and visual outputs in generative AI systems. * Building recommender systems for creative content.

    Coverage

    The data spans the year 2022. Its geographic scope is global. While the primary dataset includes re-runs, which might show similar images, a dedicated reduced version is available that filters these out, potentially offering a cleaner set of unique prompt-image pairs. The raw version should be approached with caution as it contains uncleaned data.

    License

    The dataset is free to use. A specific license URL is not available in the provided materials.

    Who Can Use It

    This dataset is beneficial for a wide range of users, including: * Data scientists and analysts: For exploring and modelling generative AI data. * Machine learning engineers: For training and testing models in areas like computer vision, NLP, and recommender systems. * Researchers: Studying AI prompt engineering, image generation, and user behaviour in creative AI platforms. * Developers: Building applications that leverage text-to-image search or prompt analysis. * AI art enthusiasts: Curious about the prompts behind AI-generated images.

    Dataset Name Suggestions

    • Midjourney Prompts and Images 2022
    • AI Image Generation Prompt Data
    • Midjourney AI Art Prompts (2022)
    • Text-to-Image Prompts Archive

    Attributes

    Original Data Source: Midjourney 2022 - 250k [CSV]

    Dataset Category Suggestions

    • AI & ML Data
    • Computer Vision
    • Natural Language Processing
    • Generative AI
    • Data Science
    • Programming

    Dataset SEO Keyword Suggestions

    Midjourney, Prompts, AI, Images, Generative

  19. Main uses of generative AI in select countries worldwide 2023

    • statista.com
    Updated Sep 20, 2023
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    Statista (2023). Main uses of generative AI in select countries worldwide 2023 [Dataset]. https://www.statista.com/statistics/1413818/generative-ai-use-worldwide/
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    Dataset updated
    Sep 20, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    United States, India, United Kingdom, Australia
    Description

    Most people used generative AI to simply have fun, messing around with the variety of possibilities such as image generation, discussing with chatbots, or asking questions. Few people used it to write notes and emails, but still almost a third of respondents in 2023.

  20. A

    AI in Retail Market Report

    • marketreportanalytics.com
    doc, pdf, ppt
    Updated Apr 26, 2025
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    Market Report Analytics (2025). AI in Retail Market Report [Dataset]. https://www.marketreportanalytics.com/reports/ai-in-retail-market-90856
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    pdf, doc, pptAvailable download formats
    Dataset updated
    Apr 26, 2025
    Dataset authored and provided by
    Market Report Analytics
    License

    https://www.marketreportanalytics.com/privacy-policyhttps://www.marketreportanalytics.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Country
    Variables measured
    Market Size
    Description

    The AI in Retail market is experiencing explosive growth, projected to reach a valuation of $9.85 billion in 2025 and exhibiting a remarkable Compound Annual Growth Rate (CAGR) of 32.68% from 2025 to 2033. This surge is driven by several key factors. The increasing adoption of omnichannel strategies by retailers necessitates sophisticated solutions for managing inventory, personalizing customer experiences, and optimizing supply chains. AI-powered tools, including machine learning algorithms for predictive analytics, natural language processing for chatbots and customer service, and image/video analytics for improved in-store navigation and product recommendations, are proving invaluable in meeting these demands. Furthermore, the growing availability of cloud-based AI solutions reduces the barrier to entry for smaller retailers, accelerating market penetration. The segmentation of the market highlights diverse application areas, from supply chain management and logistics optimization to enhancing customer relationship management (CRM) and providing personalized pricing strategies. Leading technology companies like SAP, IBM, Microsoft, and Google are heavily invested in this sector, constantly innovating and expanding their offerings, further fueling market expansion. The market's robust growth trajectory is expected to continue throughout the forecast period (2025-2033), fueled by ongoing technological advancements and increasing retailer adoption. However, potential restraints include the high initial investment costs associated with AI implementation and the need for skilled personnel to manage and interpret AI-driven insights. Despite these challenges, the long-term benefits of enhanced efficiency, improved customer experience, and data-driven decision-making strongly suggest that the AI in Retail market will continue its upward trend, becoming an indispensable component of the modern retail landscape. The geographical distribution of the market likely mirrors existing global retail trends, with North America and Europe holding significant shares initially, followed by a rapid expansion in Asia-Pacific regions driven by e-commerce growth. Recent developments include: January 2024: Through Google's cloud business, it introduced new tools to use generative AI in retail. The tools that retailers will use Google Cloud to improve customer experience on the Internet are based on emerging technology. One of the tools is a generative AI-powered chatbot that can be embedded in retail websites and apps. Google introduced a new large language model, LLM, that it says improves the ability to search for retailers' websites., November 2023: Amazon Web Services Inc. announced a new type of generative AI-powered assistant specifically designed for work that could be tailored to the customer's business: Amazon Q. Amazon Q provides information and advice for employees to simplify their tasks, speed up decision-making and problem-solving, which helps ignite creativity and innovation in the workplace.. Key drivers for this market are: Rapid Adoption of Advances in Technology Across Retail Chain, Emerging Trend of Startups in the Retail Space. Potential restraints include: Rapid Adoption of Advances in Technology Across Retail Chain, Emerging Trend of Startups in the Retail Space. Notable trends are: Software Segment to Witness Major Growth.

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Statista (2024). Global weekly interest in generative AI on Google searches 2022-2024 [Dataset]. https://www.statista.com/statistics/1367868/generative-ai-google-searches-worldwide/
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Global weekly interest in generative AI on Google searches 2022-2024

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7 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Jul 5, 2024
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
Feb 27, 2022 - Jun 30, 2024
Area covered
Worldwide
Description

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.

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