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North America Artificial Intelligence Data Center Market Report is Segmented by Data Center Type (CSP Data Centers, Colocation Data Centers, Others (Enterprise and Edge)), by Component (Hardware, Software Technology, Services - (Managed Services, Professional Services, Etc). The Report Offers the Market Size and Forecasts for all the Above Segments in Terms of Value (USD).
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TwitterAs of 2024, over half of higher education employees reported that although some areas of their institution are working on AI-related strategy, there is no institution-wide approach, at 55 percent. A further 11 percent cited lacking any AI-related strategy at their institution at all.
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The Artificial Intelligence In Healthcare Market North America report segments the industry into By Technology (Natural Language Processing (NLP), and more), By Application (Robot-assisted Surgery, and more), By Offering (Hardware, Software, Services), By End User (Healthcare Payers, and more), and Geography (United States, and more).
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TwitterAccording to a 2023 survey, Colombia was the Latin America country presenting the most potential related to artificial intelligence (AI), as highlighted by ** percent of respondents among business leaders active on the continent. Mexico and Chile followed, with ** percent and ** percent, respectively.
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TwitterArtificial intelligence (AI) holds tremendous promise to benefit nearly all aspects of society, including the economy, healthcare, security, the law, transportation, even technology itself. On February 11, 2019, the President signed Executive Order 13859, Maintaining American Leadership in Artificial Intelligence. This order launched the American AI Initiative, a concerted effort to promote and protect AI technology and innovation in the United States. The Initiative implements a whole-of-government strategy in collaboration and engagement with the private sector, academia, the public, and like-minded international partners. Among other actions, key directives in the Initiative call for Federal agencies to prioritize AI research and development (R&emp;D) investments, enhance access to high-quality cyberinfrastructure and data, ensure that the Nation leads in the development of technical standards for AI, and provide education and training opportunities to prepare the American workforce for the new era of AI. In support of the American AI Initiative, this National AI R&emp;D Strategic Plan: 2019 Update defines the priority areas for Federal investments in AI R&emp;D. This 2019 update builds upon the first National AI R&emp;D Strategic Plan released in 2016, accounting for new research, technical innovations, and other considerations that have emerged over the past three years. This update has been developed by leading AI researchers and research administrators from across the Federal Government, with input from the broader civil society, including from many of America’s leading academic research institutions, nonprofit organizations, and private sector technology companies. Feedback from these key stakeholders affirmed the continued relevance of each part of the 2016 Strategic Plan while also calling for greater attention to making AI trustworthy, to partnering with the private sector, and other imperatives.
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The South America Artificial Intelligence Data Center Market Report is Segmented by Data Center Type (Cloud Service Providers, Colocation Data Centers, and More), Component (Hardware, Software, and Services), Tier Standard (Tier III and Tier IV), End-User Industry (IT and ITES, Internet and Digital Media, Telecom Operators, and More), and Country. The Market Forecasts are Provided in Terms of Value (USD).
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TwitterFrom January 2023 to December 2024, "character AI" was the most frequently searched keyword in the United States among those that were related or included "ai" in their queries. This term accounted for over 3.98 million average monthly searches. "Ai detector" ranked second, amassing more than 1.11 million search in the same period. Meanwhile, the sole keyword "ai" amassed around 902 thousand searches in the country. Globally, the interest in artificially powered tools like ChatGPT has spiked over the last years, as well as for its developing company OpenAI.
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TwitterThis dataset is a list of Department of Transportation (DOT) Artificial Intelligence (AI) use cases. Artificial intelligence (AI) promises to drive the growth of the United States economy and improve the quality of life of all Americans. Pursuant to Section 5 of Executive Order (EO) 13960, "Promoting the Use of Trustworthy Artificial Intelligence in the Federal Government," Federal agencies are required to inventory their AI use cases and share their inventories with other government agencies and the public. In accordance with the requirements of EO 13960, this spreadsheet provides the mechanism for federal agencies to create their inaugural AI use case inventories. https://www.federalregister.gov/documents/2020/12/08/2020-27065/promoting-the-use-of-trustworthy-artificial-intelligence-in-the-federal-government
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TwitterThe statistic shows the size of the North American market for artificial intelligence for enterprise applications, from 2016 to 2025. In 2016, the enterprise AI market is estimated to be worth around *** million U.S. dollars in North America.
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Artificial Intelligence (AI) Market In Education Sector Size 2025-2029
The artificial intelligence (ai) market in education sector size is forecast to increase by USD 4.03 billion at a CAGR of 59.2% between 2024 and 2029.
The Artificial Intelligence (AI) market in the education sector is experiencing significant growth due to the increasing demand for personalized learning experiences. Schools and universities are increasingly adopting AI technologies to create customized learning paths for students, enabling them to progress at their own pace and receive targeted instruction. Furthermore, the integration of AI-powered chatbots in educational institutions is streamlining administrative tasks, providing instant support to students, and enhancing overall campus engagement. However, the high cost associated with implementing AI solutions remains a significant challenge for many educational institutions, particularly those with limited budgets. Despite this hurdle, the long-term benefits of AI in education, such as improved student outcomes, increased operational efficiency, and enhanced learning experiences, make it a worthwhile investment for forward-thinking educational institutions. Companies seeking to capitalize on this market opportunity should focus on developing cost-effective AI solutions that cater to the unique needs of educational institutions while delivering measurable results. By addressing the cost challenge and providing tangible value, these companies can help educational institutions navigate the complex landscape of AI adoption and unlock the full potential of this transformative technology in education.
What will be the Size of the Artificial Intelligence (AI) Market In Education Sector during the forecast period?
Request Free SampleArtificial Intelligence (AI) is revolutionizing the education sector by enhancing teaching experiences and delivering personalized learning. AI technologies, including deep learning and machine learning, power adaptive learning platforms and intelligent tutoring systems. These systems create learner models to provide personalized recommendations and instructional activities based on individual students' needs. AI is transforming traditional educational models, enabling intelligent systems to handle administrative tasks and data analysis. The integration of AI in education is leading to the development of intelligent training software for skilled professionals. Furthermore, AI is improving knowledge delivery through data-driven insights and enhancing the learning experience with interactive and engaging pedagogical models. AI technologies are also being used to analyze training formats and optimize domain models for more effective instruction. Overall, AI is streamlining administrative tasks and providing personalized learning experiences for students and professionals alike.
How is this Artificial Intelligence (AI) In Education Sector Industry segmented?
The artificial intelligence (ai) in education sector industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments. End-userHigher educationK-12Learning MethodLearner modelPedagogical modelDomain modelComponentSolutionsServicesApplicationLearning platform and virtual facilitatorsIntelligent tutoring system (ITS)Smart contentFraud and risk managementOthersTechnologyMachine LearningNatural Language ProcessingComputer VisionSpeech RecognitionGeographyNorth AmericaUSCanadaMexicoEuropeFranceGermanyItalySpainUKAPACChinaIndiaJapanSouth KoreaSouth AmericaBrazilMiddle East and AfricaUAE
By End-user Insights
The higher education segment is estimated to witness significant growth during the forecast period.The global education sector is witnessing significant advancements with the integration of Artificial Intelligence (AI). AI technologies, including Machine Learning (ML), are revolutionizing various aspects of education, from K-12 schools to higher education and corporate training. Intelligent Tutoring Systems and Adaptive Learning Platforms are increasingly popular, offering Individualized Instruction and Personalized Learning Experiences based on each student's Learning Pathways and Skills Gap. AI-enabled solutions are enhancing Student Engagement by providing Interactive Learning Tools and Real-time communication, while AI platforms and startups are developing Smart Content and Tailored Content for Remote Learning environments. AI is also transforming administrative tasks, such as Assessment processes and Data Management, by providing Personalized Recommendations and Automated Grading. Universities and educational institutions are leveraging AI for Pedagogical model development and Virtual Classrooms, offering Educational Experiences and Virtual support. AI is also being used for Academic mapping an
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The North America Artificial Intelligence in Sports Market would witness market growth of 20.0% CAGR during the forecast period (2025-2032). The US market dominated the North America Artificial Intelligence in Sports Market by Country in 2024, and would continue to be a dominant market till 2032;
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The North America artificial intelligence market size reached approximately USD 45.90 Billion in 2024. The market is projected to grow at a CAGR of 25.70% between 2025 and 2034, reaching a value of around USD 452.03 Billion by 2034.
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North America Artificial Intelligence (AI) in Stock Trading Market is projected to grow at a considerable CAGR during the forecast period 2023-28, says MarkNtel Advisors.
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Gain insights into the future of the US AI market up to 2028. Explore trends, growth drivers, and projections shaping the landscape of artificial intelligence in the us.
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The North America artificial intelligence in healthcare market was valued at USD 14.30 Billion in 2024 and is expected to grow at a CAGR of 27.20%, reaching USD 158.56 Billion by 2034. The market growth is driven by increasing adoption of AI-based solutions in diagnostics, patient monitoring, and predictive analytics.
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Explore North America Artificial Intelligence in Healthcare Market, including size, share, growth, trends, and industry analysis, with forecasts extending to 2033.
| Report Attribute | Description |
|---|---|
| Market Size in 2023 | USD 8.9 Billion |
| Market Forecast in 2033 | USD 114.2 Billion |
| CAGR % 2024-2033 | 21% |
| Base Year | 2023 |
| Historic Data | 2016-2022 |
| Forecast Period | 2024-2033 |
| Report USP | Production, Consumption, company share, company heatmap, company production capacity, growth factors and more |
| Segments Covered | By Application, By Service, By Technology, By End User, By Country and By Region |
| Growth Drivers | The widespread adoption of electronic health records has generated vast amounts of data. AI can be leveraged to analyze this data efficiently, leading to better patient care, personalized medicine, and improved operational efficiency. AI is being used to accelerate the drug discovery process. Machine learning models can analyze large datasets to identify potential drug candidates, predict their efficacy, and optimize the drug development pipeline. AI-powered tools enable continuous monitoring of patients outside traditional healthcare settings. This can be especially beneficial for managing chronic conditions, providing real-time data to healthcare professionals and improving patient engagement. |
| Regional Scope | North America |
| Country Scope | U.S, Canada, Mexico |
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The North America AIaaS market is expected to experience significant growth, with a projected CAGR of 20.4% from 2025 to 2031, reaching $5.7 billion by 2031. The growing digitalization across industries, the rapid adoption of AI technologies, and increasing cloud computing infrastructure are key drivers of the market growth. Additionally, the North America government's push for AI innovation and the increasing demand for automation in both large enterprises and small businesses are fueling AIaaS adoption. The region's advanced technology landscape and strong economic base provide a robust foundation for this market's expansion.
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TwitterAutomated online grocery ordering via AI is a feature rather few Americans are likely to use. Over thirty percent of respondents from the U.S. stated in an online survey they are rather unlikely or very unlikely to use this feature. An additional 22.4 percent of respondents were neither likely nor unlikely. This made it the only feature with less than half of survey respondents saying they are likely or very likely to use the feature.
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North America Artificial Intelligence in Healthcare (AI) comes with extensive industry analysis of development components, patterns, flows, and sizes. The report calculates present and past market values to forecast potential market management during the forecast period between 2025 - 2033.
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North America Artificial Intelligence Education Technology Market size will be USD 1570.08 Million in 2023 and will expand at a compound annual growth rate (CAGR) of 45.7% from 2023 to 2030.
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North America Artificial Intelligence Data Center Market Report is Segmented by Data Center Type (CSP Data Centers, Colocation Data Centers, Others (Enterprise and Edge)), by Component (Hardware, Software Technology, Services - (Managed Services, Professional Services, Etc). The Report Offers the Market Size and Forecasts for all the Above Segments in Terms of Value (USD).