Here are relevant reports on : e-learning-market
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Artificial Intelligence in Transportation Market by Machine Learning (Deep Learning, Computer Vision, Context Awareness, NLP), Application (Semi & Full-Autonomous, HMI, Platooning), Offering (Hardware, Software), Process, and Region - Global Forecast to 2030
The artificial intelligence in transportation market is projected to grow at a CAGR of 17.87% during the forecast period, and the market size is expected to grow from USD 1.21 Billion in 2017 to USD 10.30 Billion by 2030. The key software & Tier- I suppliers profiled in the report include Continental AG (Germany), Bosch (Germany), Microsoft (US), and NVIDIA (US). These systems and technologies are supplied to automotive OEMs such as Volvo (Sweden), Daimler (Germany), Scania (Sweden), and others.
- Published: November 2017
- Price: $ 4950
- TOC Available:
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Cognitive Media Market by Technology (Deep Learning & Machine Learning, NLP), Application (Content Management, Network Optimization, Predictive Analysis), Component (Solutions, Services), Deployment, Enterprise Size, and Region - Global Forecast to 2023
MarketsandMarkets expects the global cognitive media market size to grow from USD 551.4 million in 2018 to USD 1,839.1 million by 2023, at a Compound Annual Growth Rate (CAGR) of 27.2% during the forecast period. Major growth drivers for the market include automation of workflow in the media sector, an increasing demand for improved content creation, utilization of cognitive computing to combat the increasing pressure for detecting illegal content, and an increasing number of AI startups in the media industry. The cognitive media market report provides the competitive landscape and company profiles of the key vendors by their product offerings and business strategies. The major vendors in the global cognitive media include Microsoft (US), Google (US), AWS (US), Adobe (US), IBM (US), nVIDIA (US), Salesforce (US), Baidu (China), Crimson Hexagon (US), Veritone (US), Bytedance (China), Acrolinx (Germany), Zeta Global (US), Kitewheel (US), Clarifai (US), Axle.ai (US), Albert (US), Kenshoo (Israel), Spotad (Israel), Valossa (Finland), Emarsys (Austria), Soundhound Inc. (US), Video Intelligence (Switzerland), MiQ (UK), Phrasee (UK), NewsRx (US), and TrendKite (US).
- Published: August 2018
- Price: $ 4950
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NLP in Finance Market by Offering (Software, Services), Application (Customer Service and Support, Risk Management and Fraud Detection, Sentiment Analysis), Technology (Machine Learning, Deep Learning), Vertical and Region - Global Forecast to 2028
The NLP in finance market is projected to reach USD 18.8 billion by 2028 at a compound annual growth rate (CAGR) of 27.6%. Some major players in the NLP in Finance market include Microsoft (US), IBM (US), Google (US), AWS (US), Oracle (US), SAS Institute (US), Qualtrics (US), Baidu (China), Inbenta (US), Basis Technology (US), Nuance Communications (US), Expert.ai (Italy).
- Published: April 2023
- Price: $ 4950
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AI Vision Market by Vision Software (API, SDK), Vision Platform, Behavioral Analysis, Optical Character Recognition, Spatial Analysis, Image Recognition, Heatmap Analysis, Machine Learning, Deep Learning, CNN, Generative AI – Global Forecast to 2029
The global AI vision market is expected to grow from USD 14.85 billion in 2024 to USD 43.02 billion in 2029, at a compound annual growth rate (CAGR) of 23.7% during the forecast period.The key players NVIDIA Corporation (US), Microsoft Corporation (US), Intel Corporation (US), Alphabet Inc. (US), Amazon.com, Inc. (US), IBM (US), Oracle (US), Cognex Corporation (US), Qualcomm Technologies, Inc. (US), STMicroelectronics (Switzerland).
- Published: January 2025
- Price: $ 4950
- TOC Available:
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Mobile Learning Market by Solution (Mobile Content Authoring, E-books, Portable LMS, Mobile and Video-based Courseware, Interactive Assessments, Content Development, M-Enablement), by Applications, by User Type, & by Region - Global Forecast to 2020
In the recent years, there has been a substantial growth in mobile learning industry. Education institutions and corporate users have become more receptive towards the adoption of technological components. Technology in the mobile learning industry has played a significant role in enabling students and educators to interact with the upcoming learning opportunities, thus enabling them to have a richer learning experience. The total mobile learning market to grow from $7.98 billion in 2015 to $37.60 billion by 2020 at a Compound Annual Growth Rate (CAGR) of 36.3% during the forecast period.
- Published: April 2015
- Price: $ 4950
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Adaptive Learning Market by Component (Platform and Services), Application, Deployment (Cloud and On-premises), End User (Academic (K-12 and Higher Education) and Enterprise (SME and Large Enterprise)), and Region - Global Forecast to 2025
The global adaptive learning market size is expected to grow USD 5.3 billion by 2025, at a Compound Annual Growth Rate (CAGR) of 22.7% during the forecast period. Major vendors of adaptive learning include McGraw-Hill (US), Pearson (UK), Curriculum Associates (UK), Wiley (US), Istation (US), Area9 Lyceum(US), ScootPad (US), CogBooks (UK), VitalSource (US), DreamBox (US), Impelsys (US), Mathspace (Australia), Fulcrum Labs (US), Knowre (US), Follett (US), Imagine Learning (US), Cerego (US), Realizeit (US), K12 (US), and Houghton Mifflin Harcourt (US).
- Published: June 2020
- Price: $ 4950
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ModelOps Market by Platforms (AutoML, Monitoring & Observability), Model type (Machine Learning, Graph-based), Application (Dashboard & Reporting, CI/CD, Governance, Risk & Compliance, Batch Scoring, Monitoring & Alerting) - Global Forecast to 2029
The global ModelOps Market is projected to reach USD 29.5 billion in 2029, at a CAGR of 40.2% during the forecast period. The significant ModelOps platform and service providers include IBM (US), Google (US), Oracle (US), SAS Institute (US), AWS (US), Teradata (US), Palantir (US), Veritone (US), Altair (US), c3.ai (US), TIBCO (US), Databricks (US), Giggso (US), Verta (US), ModelOp (US), Comet ML (US), Superwise (Israel), Evidently Al (US), Minitab (US), Seldon (UK), Innominds (US), Datatron (US), Domino Data Lab (US), Arthur (US), Weights & Biases (US), Xenonstack (US), Cnvrg.io (Israel), DataKitchen (US), Haisten AI (US), Sparkling Logic (US), LeewayHertz (US). These companies have used organic and inorganic growth strategies such as product launches, acquisitions, and partnerships to strengthen their position in the ModelOps Market.
- Published: June 2024
- Price: $ 4950
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Top 10 Telecom Technologies – (MVAS, BYOD and Enterprise Mobility, Mobile Money, Mobile Learning, Contactless Payment, Indoor Location, Mass Notification System, M2M Satellite Communication, Mobile CDN and Mobile User Authentication) - Forecast to 2021
The top 10 telecom technologies market is expected to grow at a significant rate during the forecast period 2016–2021. The growth of this market is being propelled by the rapid adoption of smartphones and tablets across the globe. The scope of this report covers the top telecom technologies market on the basis of different segments such as solutions, components, applications, services, verticals, regions, and others.
- Published: February 2017
- Price: $ 4950
- TOC Available:
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Industrial Internet Market - By Technology (Big Data Analytics, Machine Learning, Internet of things), By Application (Wind Turbines, Jet Engines, Health Care) - Advancements, Market Forecasts and Analysis (2014 - 2019)
- Published: January 2026
- Price: $ 4950
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No-Code AI Platforms Market by Technology (NLP, Predictive Analytics, Deep Learning) Automation Platforms (Conversational AI, Business Process Automation), Application (Workflow Automation, Text Translation, Chatbots) - Global Forecast to 2029
The global no-code AI platforms market is projected to reach USD 24.8 billion in 2029, at a CAGR of 38.2% during the forecast period. The major No-code AI platforms providers include IBM (US), Microsoft (US), Google (US), AWS (US), Salesforce (US), C3 AI (US), H2O. ai (US), Qlik (US), Clarifai (US), DataRobot (US), Dataiku (US), SymphonyAI (US), Altair (US), Levity (Germany), Akkio (US), Aito (Finland), Obviously AI (US), Pecan AI (Israel), Kore.ai (US), Konverse AI (US), Yellow.ai (US), MokeyLearn (US), Roboflow (US), NanoNets (US), Noogata (Israel), Rasa (US), Builder.ai (UK), Appy Pie (US), Accern (US), RunwayML (US), and Bubble (US). These companies have used both organic and inorganic growth strategies such as product launches, acquisitions, and partnerships to strengthen their position in the no-code AI platforms market.
- Published: June 2024
- Price: $ 4950
- TOC Available:
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