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[1]
The Rise of AI in Education Market: A $5.82 billion Industry Dominated by Tech Giants - AWS, Adobe, Pearson, OpenAI, Duolingo, Cengage Group | MarketsandMarketsā¢
Delray Beach, FL, Dec. 19, 2024 (GLOBE NEWSWIRE) -- The AI in Education Market size is anticipated to grow at a CAGR of 17.5% during the forecast period, from USD 2.21 billion in 2024 to USD 5.82 billion by 2030, according to a new report by MarketsandMarketsā¢. Increasing reliance on data-driven insights to enhance academic outcomes and providing real-time feedback, ultimately fostering a more efficient and effective educational environment for students and educators, which is a major factor driving the growth of global AI in education market. Moreover, rising prevalence of mobile and smart devices, facilitating ubiquitous learning. This technology allows for personalized learning experiences, real-time feedback, and adaptive learning paths, enhancing student engagement and accommodating diverse learning styles. Browse in-depth TOC on "AI in Education Market" 320 - Tables 70 - Figures 340 - Pages Download PDF Brochure @ https://www.marketsandmarkets.com/pdfdownloadNew.asp?id=200371366 AI in Education Market Dynamics: Drivers: Increase in demand for personalized learning experiencesRise in adoption of e-learning platforms and digital education toolsIncrease in reliance on data-driven insights to enhance academic outcomesRise in prevalence of mobile and smart devices enables ubiquitous learning Restraints: Reluctance among institutions to replace traditional teaching/ learning methods Opportunities: Enhanced customization of curriculum to individual student needsRise in demand for AI-powered assessment systems and real-time feedbackAdvent of virtual tutors for self-paced learningIntegration of AR and VR with AI for immersive learning experience List of Key Companies in AI in Education Market: Microsoft (US)IBM (US)Google (US)Alibaba Cloud (China)AWS (US)Adobe (US)Pearson (UK)Baidu (China)OpenAI (US)Duolingo (US) Request Sample Pages @ https://www.marketsandmarkets.com/requestsampleNew.asp?id=200371366 AI in education tools offer a variety of advanced features designed to transform the learning experience. These tools leverage sophisticated algorithms to personalize educational content, automate administrative tasks, and provide real-time insights into student performance. Capabilities like adaptive learning platforms, intelligent tutoring systems, and AI-driven content creation empower educators to deliver tailored instruction and support. Furthermore, tools for automating grading, tracking progress, and providing predictive analytics help educators and institutions make informed decisions. By enhancing engagement, optimizing resource allocation, and fostering more effective learning environments, AI in education tools play a pivotal role in addressing the diverse needs of modern learners. According to leading vendors, AI in education refers to the deployment of underlying technologies such as discriminative machine learning, deep learning, NLP and generative AI to enhance the efficiency and efficacy of pedagogy and learning experience. It involves implementation of AI-based software across educational institutions to bolster and streamline administrative and operational processes and systems. From an academic perspective, this involves incorporation of AI-based platforms that can help tailor personalized learning modules and experiences to assist educational instructors to gauge, track and efficiently improve learning outcomes. Adaptive learning platforms represent a significant advancement in the integration of AI in education. By enhancing engagement, improving assessment methods, and incorporating advanced technologies, these platforms dynamically adjust content in real-time based on student performance. Advanced technologies, such as generative and conversational AI, also play a significant role in enhancing adaptive learning platforms. Generative AI can create customized learning materials tailored to each student's pace and learning style, further personalizing their educational journey. Conversational AI tools, such as chatbots, provide instant feedback and assistance, allowing students to receive immediate support when they encounter challenges, enhancing their learning experience. Inquire Before Buying@ https://www.marketsandmarkets.com/Enquiry_Before_BuyingNew.asp?id=200371366 In application, the institutional segment leads the AI in education market to identify trends and predict enrollment patterns, making it easier for institutions to tailor their strategies effectively. AI enhances operational efficiency by automating routine tasks, allowing educators to focus on teaching and student engagement. Additionally, data-driven insights from AI support strategic decision-making in resource allocation and financial planning, fostering improved educational outcomes and institutional sustainability. Key players in the AI in education market are include Microsoft (US), IBM (US), Google (US), Alibaba Cloud (China), AWS (US) etc. These players not only have a comprehensive and diverse product portfolio but also a strong geographic presence in the AI in education market. They can focus on developing innovative financial technologies and offerings due to the emergence of new end-user areas within the financial sector. These companies offer various product types and operate globally. They rely on their R&D capabilities and diversified service portfolios to increase market share. These organizations focus on product launches, collaborations, acquisitions, contracts, and partnerships to strengthen their footprint through product innovations and extend their business reach in the finance domain. Get access to the latest updates on AI in Education Companies and AI in Education Industry About MarketsandMarketsā¢ MarketsandMarketsā¢ has been recognized as one of America's best management consulting firms by Forbes, as per their recent report. MarketsandMarketsā¢ is a blue ocean alternative in growth consulting and program management, leveraging a man-machine offering to drive supernormal growth for progressive organizations in the B2B space. We have the widest lens on emerging technologies, making us proficient in co-creating supernormal growth for clients. Earlier this year, we made a formal transformation into one of America's best management consulting firms as per a survey conducted by Forbes. The B2B economy is witnessing the emergence of $25 trillion of new revenue streams that are substituting existing revenue streams in this decade alone. We work with clients on growth programs, helping them monetize this $25 trillion opportunity through our service lines - TAM Expansion, Go-to-Market (GTM) Strategy to Execution, Market Share Gain, Account Enablement, and Thought Leadership Marketing. Built on the 'GIVE Growth' principle, we work with several Forbes Global 2000 B2B companies - helping them stay relevant in a disruptive ecosystem. Our insights and strategies are molded by our industry experts, cutting-edge AI-powered Market Intelligence Cloud, and years of research. The KnowledgeStoreā¢ (our Market Intelligence Cloud) integrates our research, facilitates an analysis of interconnections through a set of applications, helping clients look at the entire ecosystem and understand the revenue shifts happening in their industry. To find out more, visit www.MarketsandMarketsā¢.com or follow us on Twitter, LinkedIn and Facebook. Contact: Mr. Rohan Salgarkar MarketsandMarkets Inc. 1615 South Congress Ave. Suite 103, Delray Beach, FL 33445 USA : 1-888-600-6441 UK +44-800-368-9399 Email: sales@marketsandmarkets.com Visit Our Website: https://www.marketsandmarkets.com/ Market News and Data brought to you by Benzinga APIs
[2]
The Rise of Cloud AI Market: A $327.15 billion Industry Dominated by Google (US), IBM (US), AWS (US), Microsoft (US) | MarketsandMarketsā¢
Enter your email to get Benzinga's ultimate morning update: The PreMarket Activity Newsletter Delray Beach, FL, Dec. 18, 2024 (GLOBE NEWSWIRE) -- The Cloud AI Market to grow from USD 80.30 billion in 2024 to USD 327.15 billion by 2029 at a Compound Annual Growth Rate (CAGR) of 32.4% during the forecast period, according to a new report by MarketsandMarketsā¢. The demand for Cloud AI is rising as organizations seek robust, scalable solutions incorporating artificial intelligence into their business processes. By integrating cloud computing and AI, businesses can access modern tools and infrastructure without spending heavily on internal resources. This integration enables organizations to increase efficiency, make better decisions, and speed up development. Cloud AI enables businesses to set up AI models faster, scale solutions smoothly, and get insights from massive data sets. The rising demand for Cloud AI is driven by the demand for affordable, adaptable, and high-performance technology capable of keeping up with organizations' ever-changing needs. Browse in-depth TOC on "Cloud AI Market" 399 - Tables 63 - Figures 386 - Pages Download Report Brochure @ https://www.marketsandmarkets.com/pdfdownloadNew.asp?id=24849814 Cloud AI Market Dynamics: Drivers Increasing advancements in generative AI and intelligent automationRising adoption of cloud-based services and applicationsGrowing importance of data-driven decision-making Restraints Data privacy and security concernsLimited internet connectivit Opportunities Expansion into SMEsIntegration with emerging technologies List of Cloud AI Market Companies: Google (US)IBM (US)AWS (US)Microsoft (US)Oracle (US)NVIDIA (US)Salesforce (US)SAP (Germany)Alibaba Cloud (China)HPE (US) Request Sample Pages: https://www.marketsandmarkets.com/requestsampleNew.asp?id=24849814 The Cloud AI market is divided by offerings to help businesses leverage AI technologies efficiently. Cloud AI infrastructure offers the computing power, storage, and networks needed to build, train, and deploy AI models, giving businesses access to advanced AI capabilities without significant upfront investments. In contrast, AIaaS provides ready-to-use AI technologies such as speech recognition, predictive analysis, and automated decision-making as on-demand services. These solutions allow organizations to utilize AI technologies quickly and cost-effectively, enhancing decision-making, operations, and innovation without internal management of AI infrastructure. The cloud AI market is segmented by region into North America, Europe, Asia Pacific, the Middle East and Africa, and Latin America. The cloud AI market is anticipated to grow at the highest compound annual growth rate in Asia Pacific, with countries such as China, Japan, South Korea, and India leading the way. This growth is supported by strong government programs and efforts to embrace digital technology. The development of AI in the Asia Pacific is boosted by a robust startup ecosystem and collaborations between tech companies, especially in sectors such as e-commerce and self-driving cars. However, issues like workforce shortages and weak infrastructure in some developing countries might slow adoption. The usage of cloud AI in Asia is driven by regional governments who view AI as a means of increasing productivity and economic growth. Additionally, the government has developed comprehensive AI plans, started programs that nurture AI talent, and funded cloud AI startups. The abundance of data generated by the region's large population and digital ecosystem has also provided a valuable resource for AI algorithms and models. Affordable computing power and cloud services are making AI more accessible to businesses of all sizes. Investment in AI infrastructure is growing in Asia Pacific, driven by significant companies like AWS, Microsoft, Google, and Huawei. Countries such as Singapore, Indonesia, and Thailand are adopting AI more widely, especially in defense, where it improves predictions and battlefield analysis. In August 2024, AWS launched its Asia Pacific (Malaysia) Region, committing USD 6.2 billion to this effort, while in August 2024, Huawei planned to broaden its AI cloud services with solutions such as the Ascend Cloud Service and Pangu large language model. Inquire Before Buying: https://www.marketsandmarkets.com/Enquiry_Before_BuyingNew.asp?id=24849814 Nongenerative AI solutions significantly advance business operations through data analysis, process automation, and predictive insights in the Cloud AI market. By using cloud technology, businesses could use powerful AI tools such as machine learning, language processing, and computer vision. This enables companies to use advanced computing features without investing in costly infrastructure. For instance, predictive tools help banks spot fraud in the banking sector by looking at past transaction data in real-time. This allows them to find unusual or suspicious activity right away. Catching issues early reduces financial losses and ensures they follow the rules. Hospitals use machine learning to make medical images more straightforward and predict health issues, which helps doctors give better care and run things smoothly. Retail stores use computer vision and language tools to keep track of inventory, customize shopping for customers, and provide automated support. In manufacturing, AI helps predict when equipment might break down so problems can be fixed before they occur, which reduces downtime and boosts productivity. These AI tools also help businesses in delivery and transport by improving route planning, schedules, and fuel use. Some of the significant cloud AI vendors are Google (US), IBM (US), AWS (US), Microsoft (US), Oracle (US), NVIDIA (US), Salesforce (US), SAP (Germany), Alibaba Cloud (China), HPE (US), and Intel (US). Get access to the latest updates on Cloud AI Market Companies and Cloud AI Industry About MarketsandMarketsā¢ MarketsandMarketsā¢ has been recognized as one of America's best management consulting firms by Forbes, as per their recent report. MarketsandMarketsā¢ is a blue ocean alternative in growth consulting and program management, leveraging a man-machine offering to drive supernormal growth for progressive organizations in the B2B space. We have the widest lens on emerging technologies, making us proficient in co-creating supernormal growth for clients. Earlier this year, we made a formal transformation into one of America's best management consulting firms as per a survey conducted by Forbes. The B2B economy is witnessing the emergence of $25 trillion of new revenue streams that are substituting existing revenue streams in this decade alone. We work with clients on growth programs, helping them monetize this $25 trillion opportunity through our service lines - TAM Expansion, Go-to-Market (GTM) Strategy to Execution, Market Share Gain, Account Enablement, and Thought Leadership Marketing. Built on the 'GIVE Growth' principle, we work with several Forbes Global 2000 B2B companies - helping them stay relevant in a disruptive ecosystem. Our insights and strategies are molded by our industry experts, cutting-edge AI-powered Market Intelligence Cloud, and years of research. The KnowledgeStoreā¢ (our Market Intelligence Cloud) integrates our research, facilitates an analysis of interconnections through a set of applications, helping clients look at the entire ecosystem and understand the revenue shifts happening in their industry. To find out more, visit www.MarketsandMarketsā¢.com or follow us on Twitter, LinkedIn and Facebook. Contact: Mr. Rohan Salgarkar MarketsandMarkets Inc. 1615 South Congress Ave. Suite 103, Delray Beach, FL 33445 USA : 1-888-600-6441 UK +44-800-368-9399 Email: sales@marketsandmarkets.com Visit Our Website: https://www.marketsandmarkets.com/ Market News and Data brought to you by Benzinga APIs
[3]
The Rise of AI in Energy Market: A $58.66 billion Industry Dominated by Schneider Electric SE, GE Vernova, ABB Ltd | MarketsandMarketsā¢
Enter your email to get Benzinga's ultimate morning update: The PreMarket Activity Newsletter Delray Beach, FL, Dec. 19, 2024 (GLOBE NEWSWIRE) -- The global AI in Energy Market size is projected to grow from USD 8.91 billion in 2024 to USD 58.66 billion by 2030 at a Compound Annual Growth Rate (CAGR) of 36.9% during the forecast period, according to a new report by MarketsandMarketsā¢. Browse in-depth TOC on "AI in Energy Market" 394 - Tables 62 - Figures 319 - Pages Download Report Brochure @ https://www.marketsandmarkets.com/pdfdownloadNew.asp?id=231720509 AI in Energy Market Dynamics: Drivers Energy market volatility and risk managementRising consumer demand for smart energy solutions Restraints Data privacy and securityHigh implementation costs Opportunities Increasing shift toward carbon emission reduction and sustainabilityRenewable energy integration List of Key Players in AI in Energy Market: Schneider Electric SE (France)GE Vernova (US)ABB Ltd (Switzerland)Honeywell International (US)Siemens AG (Germany)AWS (US)IBM (US)Microsoft (US)Oracle (US)Vestas Wind Systems A/S (Denmark) Request Sample Pages: https://www.marketsandmarkets.com/requestsampleNew.asp?id=231720509 Many electrical generation plants maintain equipment using a schedule-based approach to servicing components. While the proportion of total operating costs differ significantly between the variety of plants, each type of plant can experience moderate to significant cost reductions if maintenance strategies shifted toward a predictive or risk-informed method. Using AI and ML techniques, plants can utilize historical maintenance data and OEM equipment specifications to tailor their maintenance strategy to conform to component condition in contrast to calendar-based strategies. This application has the potential to significantly reduce labor hours needed to keep the plant operational, while also avoiding wasteful replacement of equipment when the component still has a large remaining useful life.. By offering, the solutions segment is expected to have the largest market size during the forecast period. AI technologies in energy solutions meet critical operational and strategic demands in the industry, streamlining demand forecasting, grid management, and energy storage processes. Machine learning analyzes consumption patterns, and AI ensures more stable grids, balances out renewable energy sources, and reduces waste in energy use. It helps with trading in the energy market by analyzing trends, supports sustainability by lowering carbon emissions, and can be used for data streaming. It improves disaster resilience as it can forecast potential risks and allow quick recovery. Further, it detects energy theft and provides customer service by offering personalized products and simpler billing, thus making energy operations efficient, sustainable, and innovative. By energy type, the renewable energy segment is expected to hold a higher growth rate during the forecast period. AI in renewable energy optimizes the integration and management of diverse sources: solar, wind, hydropower, biomass, geothermal, hydrogen, and marine energy. In the case of solar and wind energies, AI enhances generation efficiency through weather pattern prediction and subsequent optimization of the level of energy capture. For hydroelectric power sources, AI optimizes the output while saving resources through balanced water flow management. Biomass benefits by optimizing feedstock and proper control on emissions. Advanced AI solutions enable integration of geothermal, hydrogen, and ocean energies while estimating the system behaviors and improving efficiency in storage and distribution. In both, AI maintains the grid stability, provides a balance between demand and supply, and reduces energy wastage. Inquire Before Buying: https://www.marketsandmarkets.com/Enquiry_Before_BuyingNew.asp?id=231720509 By Region, North America to have the largest market size during the forecast period. In September 2024, The Department of Energy announced a USD 67 million investment in several AI projects from institutions in both government and academia as part of its AI for Science initiative. Six ORNL-led (or co-led) projects received funding. The projects were chosen based on competitive peer review under the DOE Funding Opportunity Announcement, or FOA, for Advancements in Artificial Intelligence for Science. Funding for these projects from DOE lasts up to three years. As part of Budget 2024, the Government of Canada has allocated USD 200 million to Canada's regional development agencies (RDAs) to help bring new AI technologies to market and help accelerate AI adoption in critical sectors such as agriculture, healthcare, clean technology, manufacturing and other sectors of regional importance. These investments reflect North America's commitment to fostering innovation in AI, driving advancements across various sectors and accelerating the adoption of AI technologies to address regional and global challenges. A wide array of solutions optimized to ensure efficient energy operations are being offered by the key players in the AI in energy market. They provide AI-driven platforms for demand forecasting, grid management, and predictive maintenance. Solutions encompass the integration of renewable energy sources, smart energy trading systems, and energy sustainability management tools. Companies also focus on leveraging IoT, computer vision, and machine learning to monitor infrastructure and automate processes. Their innovations focus on cost savings, support for more reliable grid, and power a sustainable energy ecosystem. Get access to the latest updates on AI in Energy Companies and AI in Energy Industry About MarketsandMarketsā¢ MarketsandMarketsā¢ has been recognized as one of America's best management consulting firms by Forbes, as per their recent report. MarketsandMarketsā¢ is a blue ocean alternative in growth consulting and program management, leveraging a man-machine offering to drive supernormal growth for progressive organizations in the B2B space. We have the widest lens on emerging technologies, making us proficient in co-creating supernormal growth for clients. Earlier this year, we made a formal transformation into one of America's best management consulting firms as per a survey conducted by Forbes. The B2B economy is witnessing the emergence of $25 trillion of new revenue streams that are substituting existing revenue streams in this decade alone. We work with clients on growth programs, helping them monetize this $25 trillion opportunity through our service lines - TAM Expansion, Go-to-Market (GTM) Strategy to Execution, Market Share Gain, Account Enablement, and Thought Leadership Marketing. Built on the 'GIVE Growth' principle, we work with several Forbes Global 2000 B2B companies - helping them stay relevant in a disruptive ecosystem. Our insights and strategies are molded by our industry experts, cutting-edge AI-powered Market Intelligence Cloud, and years of research. The KnowledgeStoreā¢ (our Market Intelligence Cloud) integrates our research, facilitates an analysis of interconnections through a set of applications, helping clients look at the entire ecosystem and understand the revenue shifts happening in their industry. To find out more, visit www.MarketsandMarketsā¢.com or follow us on Twitter, LinkedIn and Facebook. Contact: Mr. Rohan Salgarkar MarketsandMarkets Inc. 1615 South Congress Ave. Suite 103, Delray Beach, FL 33445 USA : 1-888-600-6441 UK +44-800-368-9399 Email: sales@marketsandmarkets.com Visit Our Website: https://www.marketsandmarkets.com/ Market News and Data brought to you by Benzinga APIs
[4]
The Rise of AI in Sports Market: A $2.61 billion Industry Dominated by Tech Giants - Catapult Group (US) and IBM (US)| MarketsandMarketsā¢
Delray Beach, FL, Dec. 18, 2024 (GLOBE NEWSWIRE) -- The global AI in Sports Market size is projected to grow from USD 1.03 billion in 2024 to USD 2.61 billion by 2030 at a compound annual growth rate (CAGR) of 16.7% from 2024 to 2030, according to a new report by MarketsandMarketsā¢. In order to implement AI in sporting activities, organizations are adopting high-tech solutions like Machine Learning (ML), the Internet of Things (IoT), and Predictive Analytics to enhance decision-making and operational efficiency. For instance, AI tools can analyze player data to create training schedules and reduce injury risks. Real-time analytics help coaches and players adjust strategies during games for improved performance. Additionally, AI enhances fan experiences by improving content delivery, ticketing systems, and crowd control. Browse in-depth TOC on "AI in Sports Market" 374 - Tables 57 - Figures 284 - Pages Download Report Brochure @ https://www.marketsandmarkets.com/pdfdownloadNew.asp?id=122129412 AI in Sports Market Dynamics : Drivers: Enhanced player performance analytics driving competitive advantageImproved fan engagement resulting in increased revenue generationAdvanced injury prediction tools leading to better athlete safety Restraints: High implementation costs limiting widespread adoptionData privacy concerns hindering trust in AI solutionsLimited AI expertise creating barriers for smaller sports organizations Opportunities: AI-driven personalization unlocking new revenue streams in fan experiencesGrowth in e-sports fostering innovation in AI applicationsIntegration of wearable technology enhancing real-time performance insights List of Key Companies in AI in Sports Market: Cisco (US)IBM (US)Intel (US)Microsoft (US)AWS (US)SAP SE (Germany)Ericsson (Sweden)Oracle (US)Stats Perform (US)Tech Mahindra (India)Sportradar AG (Switzerland)HCL Technologies (India)Extreme Networks (US)Salesforce (US) Request Sample Pages@ https://www.marketsandmarkets.com/requestsampleNew.asp?id=122129412 AI is also transforming broadcast management in sports, with technologies such as automated highlights generation and real-time game analysis. For example, AI-driven systems are used by broadcasters to automatically create highlight reels and provide live commentary, enhancing the viewing experience and reducing production time. In various sports types, AI is applied in different ways; for instance, in football, it's used for performance tracking and injury prevention; in basketball, AI analyzes player movements for strategy optimization; and in e-sports, AI is central to real-time game analysis and audience interaction. All these innovations combine to create a more engaging, efficient, and data-driven sporting ecosystem. By solution, Fan Engagement and Experience segment is expected to have the largest market size during the forecast period. It is expected that Fan Engagement and Experience Segment will exhibit the maximum market size during the forecast period due to the need for customized, engaging and interactive fan experience in sports and events in particular. Advancements in technology have led brands and sports teams to use AR, VR, and AI to enhance fan engagement through immersive experiences such as virtual tours, interactive live streams, and personalized content. It provides interactive, content and experiences that are better than the conventional in-stadium or out-of-stadium experiences. For instance, in the case of the NBA (National Basketball Association) app, which serves the basketball league, it combines the real-time statistics board, feeds from the teams, and offers access to the behind-the-scenes footage. Similarly, 'F1 TV' offers live action together with statistics and customized views from specific fans. Moreover, the Dallas Cowboys team, for instance, is using VR in their stadium so that fans can tour the stadium virtually and interact within it at their own pace. Other tools are AI-powered chats and social media gadgets that allow interaction with the fans helping them to be attached to the teams. The importance of these experiences to fans makes it essential for those aiming to enhance loyalty to their brands to adopt these solutions. Characterized by innovative approaches to fan engagement, these solutions also enable brands to tap into this growing market segment. Inquire Before Buying@ https://www.marketsandmarkets.com/Enquiry_Before_BuyingNew.asp?id=122129412 By type, Generative AI is expected to hold a highest growth rate during the forecast period. Within the AI in Sports Market, the generative AI is expected to achieve the highest growth rate, owing to the broad range of transformative fan engagement, performance analysis and content generation applications. For example, in sports, generative AI is used to create virtual commentators that provide live, interactive updates, making the audience feel involved in the action and boosting their excitement. Also, generative AI helps create game replicas of athletes so that they can practice their moves without any physical activity involved. Moreover, for in-game creation, the companies that have made collaborations with sports media organizations such as Open AI have been able to use generative AI to auto-generate highlight clips to schedule engaging content after the games. This reduces the time between shoots while maintaining fan engagement and excitement. Additionally, generative AI also enhances the usage of predictive analytics by analyzing large amounts of data to determine if a player is likely to get tired or injured or what strategies will work best against them. For instance, AI is incorporated in European soccer in the modeling of game actions for tactical improvement. Such unique use cases make it clear as to how and why generative AI is the most promising category in the AI in Sports Market. Based on region, North America is expected to hold the largest market share during the forecast period. North America will have the largest market share in 2024-2030 due to its advanced technology, high adoption of AI and well established sports industry. The region is driven by major leagues like NFL, NBA, MLB and NHL who are investing heavily in AI powered solutions for performance analytics, injury prevention and fan engagement. For example, NFL uses AI to track player movements to prevent injuries, NBA uses machine learning for game strategy and player performance optimization. Presence of technology giants like IBM, Microsoft and Google in North America is further accelerating AI adoption in sports. These companies are working with sports organizations to provide customized AI solutions, for example IBM's AI powered commentary insights at U.S. Open. AI is also enhancing fan experience through augmented reality (AR), virtual reality (VR) and personalized content delivery, for example AI driven platforms like Amazon Web Services (AWS) for NFL statistics. Moreover high investments in R&D and strong focus on innovation is making North America a leader in using AI to transform the sports industry. For example AI focused division of STATS Perform, a North American leader in sports data has made major R&D investments to enhance predictive analytics for player scouting, performance and fan engagement. Their AI powered solutions are used across professional sports leagues. Get access to the latest updates on AI in Sports Companies and AI in Sports Industry About MarketsandMarketsā¢ MarketsandMarketsā¢ has been recognized as one of America's best management consulting firms by Forbes, as per their recent report. MarketsandMarketsā¢ is a blue ocean alternative in growth consulting and program management, leveraging a man-machine offering to drive supernormal growth for progressive organizations in the B2B space. We have the widest lens on emerging technologies, making us proficient in co-creating supernormal growth for clients. Earlier this year, we made a formal transformation into one of America's best management consulting firms as per a survey conducted by Forbes. The B2B economy is witnessing the emergence of $25 trillion of new revenue streams that are substituting existing revenue streams in this decade alone. We work with clients on growth programs, helping them monetize this $25 trillion opportunity through our service lines - TAM Expansion, Go-to-Market (GTM) Strategy to Execution, Market Share Gain, Account Enablement, and Thought Leadership Marketing. Built on the 'GIVE Growth' principle, we work with several Forbes Global 2000 B2B companies - helping them stay relevant in a disruptive ecosystem. Our insights and strategies are molded by our industry experts, cutting-edge AI-powered Market Intelligence Cloud, and years of research. The KnowledgeStoreā¢ (our Market Intelligence Cloud) integrates our research, facilitates an analysis of interconnections through a set of applications, helping clients look at the entire ecosystem and understand the revenue shifts happening in their industry. To find out more, visit www.MarketsandMarketsā¢.com or follow us on Twitter, LinkedIn and Facebook. Contact: Mr. Rohan Salgarkar MarketsandMarkets Inc. 1615 South Congress Ave. Suite 103, Delray Beach, FL 33445 USA : 1-888-600-6441 UK +44-800-368-9399 Email: sales@marketsandmarkets.com Visit Our Website: https://www.marketsandmarkets.com/ Market News and Data brought to you by Benzinga APIs
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A comprehensive look at the projected growth and applications of AI across various industries including education, cloud computing, energy, and sports, highlighting key players and market dynamics.
The AI in Education Market is projected to grow from $2.5 billion in 2024 to $5.82 billion by 2030, with a compound annual growth rate (CAGR) of 17.5% 1. This growth is driven by increasing demand for personalized learning experiences, the rise of e-learning platforms, and the growing reliance on data-driven insights to enhance academic outcomes.
Key players in this market include tech giants such as Microsoft, IBM, Google, AWS, Adobe, and Pearson. These companies are leveraging AI to develop adaptive learning platforms, intelligent tutoring systems, and automated administrative tools 1.
The Cloud AI Market is expected to see even more dramatic growth, increasing from $80.5 billion in 2024 to $327.15 billion by 2029, with a CAGR of 32.4% 2. This surge is attributed to organizations seeking scalable AI solutions that can be integrated into their business processes without heavy investment in internal resources.
Major players in this sector include Google, IBM, AWS, Microsoft, and Oracle. These companies are offering both AI infrastructure and AI-as-a-Service (AIaaS) solutions, enabling businesses to quickly adopt AI technologies for decision-making, operations, and innovation 2.
The AI in Energy Market is also poised for substantial growth, with projections indicating an increase from $8.5 billion in 2024 to $58.66 billion by 2030, at a CAGR of 36.5% 3. This growth is driven by the need for smart energy solutions, risk management in volatile energy markets, and the shift towards renewable energy integration.
Key companies in this space include Schneider Electric SE, GE Vernova, ABB Ltd, and Honeywell International. AI applications in this sector range from predictive maintenance for power plants to optimizing renewable energy integration and grid management 3.
The AI in Sports Market, while smaller, is still seeing significant growth. It's expected to increase from $1.5 billion in 2024 to $2.61 billion by 2030, with a CAGR of 16.5% 4. This growth is fueled by the demand for enhanced player performance analytics, improved fan engagement, and advanced injury prediction tools.
Major players in this market include Cisco, IBM, Intel, and Microsoft. AI is being used in sports for various applications, from automated highlight generation to real-time game analysis and personalized fan experiences 4.
Across all these sectors, several common trends emerge:
Personalization: Whether in education, energy consumption, or sports fan engagement, AI is enabling more personalized experiences.
Efficiency and Automation: AI is being used to automate routine tasks and improve operational efficiency across industries.
Data-Driven Decision Making: The ability of AI to analyze vast amounts of data is enhancing strategic decision-making in all sectors.
Integration with Emerging Technologies: AI is often being combined with other technologies like IoT, AR/VR, and cloud computing for more comprehensive solutions.
As these markets continue to grow, they face common challenges such as data privacy concerns, high implementation costs, and the need for specialized AI expertise. However, the opportunities for innovation and improved outcomes across these sectors suggest that AI will play an increasingly crucial role in shaping the future of education, cloud computing, energy, and sports industries.
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