Here are relevant reports on : machine-learning-market
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Machine Learning Market by Vertical (BFSI, Healthcare and Life Sciences, Retail, Telecommunication, Government and Defense, Manufacturing, Energy and Utilities), Deployment Mode, Service, Organization Size, and Region - Global Forecast to 2022
The machine learning market size is expected to grow from USD 1.03 Billion in 2016 to USD 8.81 Billion by 2022, at a Compound Annual Growth Rate (CAGR) of 44.1% during the forecast period. Some of the major vendors are Microsoft Corporation (Washington, US), IBM Corporation (New York, US), SAP SE (Walldorf, Germany), SAS Institute Inc. (North Carolina, US), Google, Inc. (California, US), Amazon Web Services Inc. (Washington, US), Baidu, Inc. (Beijing, China), BigML, Inc. (Oregon, US), Fair Isaac Corporation (FICO) (California, US), Hewlett Packard Enterprise Development LP (HPE) (California, US), Intel Corporation (California, US), KNIME.com AG (Zurich, Switzerland), RapidMiner, Inc. (Massachusetts, US), Angoss Software Corporation (Toronto, Canada), H2O.ai (California, US), Alpine Data (California, US), Domino Data Lab, Inc. (California, US), Dataiku (Paris, France), Luminoso Technologies, Inc. (Massachusetts, US), TrademarkVision (Pennsylvania, US), Fractal Analytics Inc. (New Jersey, US), TIBCO Software Inc. (California, US), Teradata (Ohio, US), Dell Inc. (Texas, US), and Oracle Corporation (California, US).
- Published: September 2017
- Price: $ 4950
- TOC Available:
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Automotive Artificial Intelligence (AI) Market by Offering, Technology (Deep Learning, Machine Learning, Computer Vision, Context-aware Computing and Natural Language Processing), Process, Application, Component and Region - Global Forecast to 2027
The global Automotive Artificial Intelligence market is expected to grow from USD 2.3 Billion in 2022 to USD 7.0 Billion by 2027, at a compound annual growth rate (CAGR) of 24.1% during the forecast period.The key players NVIDIA Corporation (US), Alphabet Inc. (US), Intel Corporation (US), IBM Corporation (US), Microsoft Corporation (US), Xilinx Inc. (US), Qualcomm Inc. (US), Tesla Inc. (US), BMW AG (Germany), and Micron technology (US).
- Published: August 2022
- Price: $ 4950
- TOC Available:
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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
- TOC Available:
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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
- TOC Available:
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AI Infrastructure Market by Offering (Hardware, Server Software), Technology (Machine Learning, Deep Learning), Function (Training, Inference), Deployment Type (On-premises, Hybrid, Cloud), End user and Region - Global Forecast to 2027
The global AI infrastructure market is projected to reach USD 96.6 billion by 2027, at a CAGR of 27.5% during the forecast period. Some of the key companies in the AI infrastructure market are NVIDIA Corporation (US), Intel Corporation (US), Oracle Corporation (US), Samsung Electronics Co., Ltd. (South Korea), Micron Technology, Inc (US), Advanced Micro Devices, Inc. (US), International Business Machines (IBM) Corporation (US), Google LLC (US), Microsoft Corporation (US), Amazon Web Services, Inc. (US), SK Hynix, Inc. (South Korea), MIPS (US), Toshiba Corporation (Japan), Imagination Technologies (UK), Cambricon Technologies Corp. Ltd. (China), Graphcore (UK), Gyrfalcon Technology Inc (US), Cadence Design Systems, Inc. (US), Tenstorrent Inc. (US), Cisco Systems, Inc. (US), Arm Limited (US), Dell Technologies (US), Hewlett Packard Enterprise (US), Synopsys, Inc. (US), and SenseTime Group Inc. (China) are the major players operating in the AI infrastructure market.
- Published: July 2022
- Price: $ 4950
- TOC Available:
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Artificial Intelligence (AI) in Clinical Trials Market by Offering (Software, Services), Technology (Machine Learning, Deep Learning, Supervised), Application (Cardiovascular, Metabolic, Oncology), End User (Pharma, Biotech,CROs) - Global Forecasts to 2027
The artificial intelligence (AI) in clinical trials market is projected to reach $4.8 billion by 2027, at a CAGR of 25.6% during the forecast period. The growing need to curb clinical trials costs and reduce time involved in the drug development process, the rising adoption of cloud-based applications and services, and the impending patent expiry of blockbuster drugs are some of the key factors driving the growth of AI in clinical trials market.
- Published: October 2024
- Price: $ 4950
- TOC Available:
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Artificial Intelligence in Retail Market by Type (Online, Offline), Technology (Machine Learning and Deep Learning, NLP), Solution, Service (Professional, Managed), Deployment Mode (Cloud, On-Premises), Application, Region - Global Forecast to 2022
The AI in retail market size is expected to grow from USD 993.6 Million in 2017 to USD 5,034.0 Million by 2022, at a Compound Annual Growth Rate (CAGR) of 38.3%. The key factors driving the growth of the AI in retail market include the increasing need to streamline omnichannel retailing and customer turnover. The major vendors providing AI in retail solutions and services include Microsoft (US), Google (US), IBM (US), NVIDIA (US), Intel (US), Oracle (US), Sentient Technologies (US), Salesforce (US), Amazon Web Services (US), SAP (Germany), Inbenta Technologies (US), Nuance Communications (US), SAMSUNG (South Korea), Narrative Science (US), Daisy Intelligence (Canada), Infosys (India), Wipro (India), Happiest Minds (India), MicroStrategy (US), Dynamic Yield (US), IPsoft (US), Appier.com (Taiwan), ViSenze (Singapore), Manthan Software Services (India), and Optoro (US).
- Published: October 2017
- Price: $ 4950
- TOC Available:
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AI In Genomics Market Size, Share & Trends by Offering (Software & Services), Technology (Machine Learning), Functionality (Gene Sequencing, Gene Editing), Application (Diagnostics, Drug discovery), End User (Pharma, Hospitals) - Global Forecast to 2028
The size of global AI in genomics market in terms of revenue was estimated to be worth USD 0.5 billion in 2023 and is poised to reach USD 2.0 billion by 2028, growing at a CAGR of 32.3% from 2023 to 2028. The comprehensive research encompasses an exhaustive examination of industry trends, meticulous pricing analysis, patent scrutiny, insights derived from conferences and webinars, identification of key stakeholders, and a nuanced understanding of market purchasing dynamics.
- Published: May 2023
- Price: $ 4950
- TOC Available:
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Artificial Intelligence in Marketing Market by Offering (Hardware, Software, Services), Technology (Machine Learning, Context-Aware Computing, NLP, Computer Vision), Deployment Type, Application, End-User Industry, and Geography - Global Forecast to 2025
According to MarketsandMarkets, the artificial intelligence (AI) in marketing market is expected to be valued at USD 6.46 Billion in 2018 and is likely to reach USD 40.09 Billion by 2025, at a CAGR of 29.79% between 2018 and 2025. AI in marketing market report are NVIDIA (US), Intel (US), IBM (US), Micron (US), Samsung Electronics (Korea), Xilinx (US), Amazon (US), Alphabet (US), Facebook (US), Microsoft (US), Salesforce (US), Baidu (China), Sentient Technologies (US), Albert Technologies (Israel), and Oculus360 (US). Some of the other key companies included in the report are Twitter (US), Oracle (US), InsideSales (US), Persado (US), Mariana (US), Drawbridge (US), Narrative Science (US), Appier (US), GumGum (US), and Zensed (Sweden).
- Published: February 2018
- Price: $ 4950
- TOC Available:
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