Funding for artificial intelligence companies in the United States has increased exponentially in recent years, growing from a little under *** million U.S. dollars in 2011 to around **** billion in 2019. Overall worldwide funding in AI startups amounted to approximately **** billion U.S. dollars in the same year. Artificial intelligence refers to the creation of intelligent hardware or software able to replicate human behaviors such as learning and problem solving.

Machine learning applications most funded   

Companies focusing on machine learning applications are the most funded in the artificial intelligence (AI) market. Machine learning application companies raised ** billion U.S. dollars in cumulative funding as of September 2019. Other well-funded AI categories include machine learning platforms as well as computer vision applications and platforms. Intel Capital is the leading AI investor with a total of ** investments in AI companies as of April 2021. *** Startups, NEA and Y Combinator also rank high in terms of AI investment deals.

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.

United States AI in Agriculture Market was valued at USD 351.09 Million in 2023 and is anticipated to reach USD 705.74 Million in the forecast period with a CAGR of 12.30% through 2029.

United States Artificial Intelligence (AI) Market By Size, Share, Trends, Growth, Forecast 2018-2028, Segmented By Type, By Technology, By Deployment, By Industry, By Region, Competition Forecast and Opportunities

United States AI in Manufacturing Market was valued at USD 1.1 billion in 2023 and is anticipated to project robust growth in the forecast period with a CAGR of 16.7% through 2029.

Artificial 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.

The government of the United States of America has been steadily increasing their expenditure in AI, ML, and autonomy since 2018, having reached up from approximately **** billion U.S. dollars to **** billion U.S. dollars by 2023. In 2023, the largest share of this expenditure was directed specifically to machine learning.

This 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

The USA AI Data Management Market size is expected to reach $26.2 Billion by 2030, rising at a market growth of 20.7% CAGR during the forecast period. The AI data management market in the United States has experienced significant growth in recent years, driven by the increasing adoption of artific

The number of AI tools users in the 'AI Tool Users' segment of the artificial intelligence market in the United States was forecast to continuously increase between 2025 and 2031 by in total *** million (+****** percent). After the tenth consecutive increasing year, the number of AI tools users is estimated to reach ****** million and therefore a new peak in 2031. Notably, the number of AI tools users of the 'AI Tool Users' segment of the artificial intelligence market was continuously increasing over the past years.Find further information concerning the market size change in the artificial intelligence market in Spain and the market size change in the 'Generative AI' segment of the artificial intelligence market in the world.The Statista Market Insights cover a broad range of additional markets.

To gain a complete understanding of the United States' (US) artificial intelligence (AI) hard law efforts at the federal and state levels, we searched the federal legislature and state legislatures' websites and previous datasets on US AI-related laws for enacted, proposed, or dead bills relating to these areas. Dead bills refer to those laws that did not pass the legislative or regulatory process. These searches were carried out through keyword searches and snowball referencing from other datasets and paper’s mentioning any relevant US AI and AI-related laws or regulations. Once relevant laws and regulations were identified, they were categorized across eight areas: (1) name of law or regulation; (2) government level; (3) jurisdiction or responsible organization; (4) industry or government department captured; (5) status (enacted, proposed, or dead); which actors are captured within the industry/government department; (6) description of the law or regulation; (7) implications of the law/regulation; and (8) a URL to the law or regulations' text. This dataset was last updated December 2023.

The United States AI in Healthcare Market was valued at USD 10.82 Billion in 2024 and is expected to reach USD 85.84 Billion by 2030 with a CAGR of 41.20% through forecast period.

The United States artificial intelligence market size reached approximately USD 33.96 Billion in 2024. The market is further projected to grow at a CAGR of 25.50% between 2025 and 2034, reaching a value of USD 329.16 Billion by 2034.

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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 f

United States AI in Computer Aided Synthesis Planning Market has valued at USD 180 Million in 2023 and is anticipated to project robust growth in the forecast period with a CAGR of 23.7% through 2029.

The market size change in the 'Generative AI' segment of the artificial intelligence market in the United States was forecast to continuously decrease between 2025 and 2031 by in total 56.5 percentage points. After the seventh consecutive decreasing year, the market size change is estimated to reach 20.1 percent and therefore a new minimum in 2031. Find more key insights for the market size change in countries and regions like the market size change in the 'Natural Language Processing' segment of the artificial intelligence market in the United States and the number of AI tools users in the 'AI Tool Users' segment of the artificial intelligence market in Nordics. The Statista Market Insights cover a broad range of additional markets.

Executive Summary: Artificial intelligence (AI) is a transformative technology that holds promise for tremendous societal and economic benefit. AI has the potential to revolutionize how we live, work, learn, discover, and communicate. AI research can further our national priorities, including increased economic prosperity, improved educational opportunities and quality of life, and enhanced national and homeland security. Because of these potential benefits, the U.S. government has invested in AI research for many years. Yet, as with any significant technology in which the Federal government has interest, there are not only tremendous opportunities but also a number of considerations that must be taken into account in guiding the overall direction of Federally-funded R&D in AI. On May 3, 2016,the Administration announced the formation of a new NSTC Subcommittee on Machine Learning and Artificial intelligence, to help coordinate Federal activity in AI.1 This Subcommittee, on June 15, 2016, directed the Subcommittee on Networking and Information Technology Research and Development (NITRD) to create a National Artificial Intelligence Research and Development Strategic Plan. A NITRD Task Force on Artificial Intelligence was then formed to define the Federal strategic priorities for AI R&D, with particular attention on areas that industry is unlikely to address. This National Artificial Intelligence R&D Strategic Plan establishes a set of objectives for Federallyfunded AI research, both research occurring within the government as well as Federally-funded research occurring outside of government, such as in academia. The ultimate goal of this research is to produce new AI knowledge and technologies that provide a range of positive benefits to society, while minimizing the negative impacts. To achieve this goal, this AI R&D Strategic Plan identifies the following priorities for Federally-funded AI research: Strategy 1: Make long-term investments in AI research. Prioritize investments in the next generation of AI that will drive discovery and insight and enable the United States to remain a world leader in AI. Strategy 2: Develop effective methods for human-AI collaboration. Rather than replace humans, most AI systems will collaborate with humans to achieve optimal performance. Research is needed to create effective interactions between humans and AI systems. Strategy 3: Understand and address the ethical, legal, and societal implications of AI. We expect AI technologies to behave according to the formal and informal norms to which we hold our fellow humans. Research is needed to understand the ethical, legal, and social implications of AI, and to develop methods for designing AI systems that align with ethical, legal, and societal goals. Strategy 4: Ensure the safety and security of AI systems. Before AI systems are in widespread use, assurance is needed that the systems will operate safely and securely, in a controlled, well-defined, and well-understood manner. Further progress in research is needed to address this challenge of creating AI systems that are reliable, dependable, and trustworthy. Strategy 5: Develop shared public datasets and environments for AI training and testing. The depth, quality, and accuracy of training datasets and resources significantly affect AI performance. Researchers need to develop high quality datasets and environments and enable responsible access to high-quality datasets as well as to testing and training resources. Strategy 6: Measure and evaluate AI technologies through standards and benchmarks. . Essential to advancements in AI are standards, benchmarks, testbeds, and community engagement that guide and evaluate progress in AI. Additional research is needed to develop a broad spectrum of evaluative techniques. Strategy 7: Better understand the national AI R&D workforce needs. Advances in AI will require a strong community of AI researchers. An improved understanding of current and future R&D workforce demands in AI is needed to help ensure that sufficient AI experts are available to address the strategic R&D areas outlined in this plan. The AI R&D Strategic Plan closes with two recommendations: Recommendation 1: Develop an AI R&D implementation framework to identify S&T opportunities and support effective coordination of AI R&D investments, consistent with Strategies 1-6 of this plan. Recommendation 2: Study the national landscape for creating and sustaining a healthy AI R&D workforce, consistent with Strategy 7 of this plan.

U.S. Artificial Intelligence (AI) Market size, market analysis, Market Revenue, trends, Regional Outlook, competition and growth opportunities till 2028

In the United States, most retail companies are likely to use artificial intelligence (AI) for marketing purposes. Nearly ** percent of professionals from retail companies answering a survey in 2024 stated that their enterprises will be using AI to handle marketing automation. Chatbots and virtual shopping assistants follow in the ranking, with **** percent of answers.

In the United States, consumers tried to identify whether or not the online product recommendations were artificial intelligence (AI) in 2023. Respondents over the age of 65 years were the most confident in identifying AI, with over 50 percent stating that the product recommendation they got was AI. Those between the ages of 45 and 64 years were the most unsure about whether the recommendation they got based on previous purchases was AI, with almost 30 percent.