Here are relevant reports on : ai-in-event-management-market
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Edge Data Center Market by Component (Edge Hardware (Servers, Gateways, Sensors, Devices), Edge Software (Data Management)), Edge Application (Edge AI & Inference, Real-time Processing & Control, Immersive & Interactive Experiences) - Forecast to 2030
The global edge data center market is projected to rise from USD 50.86 billion in 2025 to USD 109.20 billion by 2030, registering a CAGR of 16.5% during the forecast period. The major players in the edge data center market include HPE (US), Dell Technologies (US), Cisco (US), Supermicro (US), IBM (US), Nvidia (US), Huawei (China), and Broadcom (US).
- Published: September 2025
- Price: $ 4950
- TOC Available:
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AI in Chemicals Market by Hardware (Accelerators, Processors, Memory, Network), Software (Dashboard & Analytics, Process Simulation, Laboratory Management, Chemical Property Prediction, Virtual Screening), Technology (ML, NLP) - Global Forecast to 2029
The global market for the AI in chemicals market is projected to reach USD 3.8 billion by 2029 at a CAGR of 39.2% during the forecast period. The major AI in chemicals providers include IBM (US), Microsoft (US), Schneider Electric (France), AWS (US), Google (US), SAP (Germany), NVIDIA (US), C3.ai (US), GE Vernova (US), Siemens (Germany), Hexagon (Sweden), Engie Impact (US), TrendMiner (Belgium), Xylem (US), NobleAI (US), Iktos (France), Kebotix (US), Uptime AI (US), Canvass AI (Canada), Nexocode (Poland), SandboxAQ (US), Deepmatter (England), Zapata AI (US), Citirne Informatics (US), Chemical.AI (China), Augury (Israel), Intellegens (UK), Ripik.AI (India), Tractian (US), Polymerize (Singapore), ScienceDesk (Germany), OptiSol Business Solutions (India), NuWater (Africa) and VROC (Australia). These companies have used both organic and inorganic growth strategies such as product launches, acquisitions, and partnerships to strengthen their position in the AI in chemicals market.
- Published: May 2024
- Price: $ 4950
- TOC Available:
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AI in Precision Medicine Market by Application (Drug Discovery, Screening, Diagnosis, Stratification, Staging, Prognosis, Therapy Selection, Monitoring, Risk Management), Indication (Cancer, CNS, CVS), Tools (ML, NLP), & End User -Global Forecast to 2030
The global AI in Precision Medicine market, valued at US$0.60 billion in 2023, stood at US$0.78 billion in 2024 and is projected to advance at a resilient CAGR of 30.7% from 2024 to 2030, culminating in a forecasted valuation of US$3.92 billion by the end of the period. Growth in precision medicine, AI’s efficiency in drug discovery, integration of Real-World Evidence (RWE) in emerging markets to drive the market significantly.
- Published: November 2024
- Price: $ 4950
- TOC Available:
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Smart Warehousing Market by Offering (AGVs, AMRs, AS/RS, AIDC, Palletizing & Depalletizing Systems, Conveyors & Sorters, TMS, WMS, Order Management), Technology (AI, IoT, Blockchain, Big Data & Analytics, Robotics & Automation) - Global Forecast to 2030
The smart warehousing market is expanding rapidly, with a projected market size anticipated to rise from about USD 31.21 billion in 2025 to USD 46.42 billion by 2030, featuring a CAGR of 8.3%. The key players in the smart warehousing market are Manhattan Associates (US), Körber (Germany), Oracle (US), SAP (Germany), Tecsys (Canada), PSI Logistics (Germany), Samsung SDS (South Korea), Reply (Italy), and Magazino (Germany).
- Published: June 2025
- Price: $ 4950
- TOC Available:
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AI In Education Market by Software Type (Learning Management System (LMS), Adaptive Learning Platform, Chatbot & Virtual Assistant, Plagiarism Detection Tools), Technology, Academic Application (Predictive Analysis, Gamification) - Global Forecast to 2030
The AI in education market size is projected to reach USD 5.82 billion by 2030, at a CAGR of 17.5% during the forecast period. Some major players in the AI in education Market include Microsoft (US), IBM (US), Google (US), Alibaba Cloud (China), AWS (US), Adobe (US), Pearson (UK), Baidu (China), OpenAI (US), Duolingo (US), Cengage Group (US), Knewton (US), Skillsoft (US), Udacity (US), Stride (US), HPE (US), Carnegie Learning (US), Dreambox Learning (US), Quizlet (US), Grammarly (US), Vimeo (US), Riiid (South Korea), Cognii (US), Elsa Speak (US), Memrise (UK), Alef Education (UAE), Querium (US), Amira Learning (US), Knowre (US), Century Tech (UK), Thinkster Math (US), Quizizz (India), Khan Academy (US), Sana Labs (Sweden), Teachmint X (India), 360Learning (US), Mainstay (India), Blippar (UK), Blue Canoe Learning (US), Otter.ai (US), Quillbot (US), Nolej (France), and Speechify (US).
- Published: November 2024
- Price: $ 4950
- TOC Available:
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Nuclear Medicine Software Market by Software (Image Management, Workflow, PACS, Dosimetry, Treatment, AI/Analytics), Application (Diagnosis, Treatment, Theranostics, Research), Disease (Onco, Neuro, Cardio), End User & Region - Global Forecast to 2030
The global nuclear medicine software market, valued at US$887.5million in 2024, stood at US$970.0 million in 2025 and is projected to advance at a resilient CAGR of 9.0% from 2025 to 2030, culminating in a forecasted valuation of US$1,491.5 million by the end of the period. This growth is mainly driven by the increasing demand for early and accurate diagnostics, as precision imaging is essential for treatment planning.
- Published: July 2025
- Price: $ 4950
- TOC Available:
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Predictive Maintenance Market Size, by Technology (Analytics, Data Management, AI, IoT Platform, Sensors), Technique (Vibration Analysis, Infrared Thermography, Oil analysis, Motor Circuit Analysis, Acoustic Monitoring) - Global Forecast to 2029
The global market for the predictive maintenance market is projected to reach USD 47.8 billion in 2029, at a CAGR of 35.1% during the forecast period. The major predictive maintenance hardware, solution and service providers include IBM (US), ABB (Switzerland), Schneider Electric (France), AWS (US), Google (US), Microsoft (US), Hitachi (Japan), SAP (Germany), SAS Institute (US), Software AG (Germany), TIBCO Software (US), Altair (US), Oracle (US), Splunk (US), C3.ai (US), Emerson (US), GE (US), Honeywell (US), Siemens (Germany), PTC (US), Dingo (Australia), Uptake (US), Samotics (Netherlands), WaveScan (Singapore), Quadrical Ai (Canada), UpKeep (US), Limble (US), SenseGrow (US), Presage Insights (India), Falcon Labs (India). These companies have used both organic and inorganic growth strategies such as product launches, acquisitions, and partnerships to strengthen their position in the predictive maintenance market.
- Published: March 2024
- Price: $ 4950
- TOC Available:
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Digital Oilfield Market by Processes (Reservoir, Production, Drilling Optimizations, Safety-, Asset Management), Technology (IoT, AI, Robotics & Automation, Big Data & Analytics, Cloud Computing), Solution, Application, Region - Global Forecast to 2029
The global digital oilfield market size is projected to reach USD 43.0 billion by 2029; it is expected to record a CAGR of 6.3% during the forecast period. Some of the major players in the digital oilfield market are SLB (US), Weatherford (US), Baker Hughes Company(US), Halliburton (US), NOV Inc. (US). The major strategies adopted by these players include new product launches, contracts, agreements, partnerships, and expansions.
- Published: March 2024
- Price: $ 4950
- TOC Available:
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AI in Finance Market by Product (Algorithmic Trading, Virtual Assistants, Robo-Advisors, GRC, IDP, Underwriting Tools), Technology, Application (Fraud Detection, Risk Management, Trend Analysis, Financial Planning, Forecasting) - Global Forecast to 2030
The AI in finance market size is projected to reach USD 190.33 billion by 2030, at a CAGR of 30.6% during the forecast period. Some major players in the AI in Finance Market include FIS (US), Fiserv (US), Google (US), Microsoft (US), Zoho (India), IBM (US), Socure (US), Workiva (US), Plaid (US), SAS (US), C3 AI (US), HighRadius (US), AWS (US), SAP (Germany), HPE (US), Oracle (US), Intel (US), NVIDIA (US), Salesforce (US), DataRobot (US), Enova International (US), AlphaSense (US), NetApp (US), Ocrolus (US), Vectra AI (US), Teradata (US), Pega (US), Vena Insights (US), Affirm (US), Symphony AI (US), Envestnet Yodlee (US), Addepto (Poland), Deeper Insights (UK), H2O.ai (US), App0 (US), Underwrite.ai (US), Deepgram (US), Emagia (US), InData Labs (US), Zest AI (US), Scienaptic AI (US), Gradient AI (US), Kasisto (US), Trumid (US), DataVisor (US), Kavout (US), WealthBlock (US).
- Published: February 2025
- Price: $ 4950
- TOC Available:
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Road Safety Market by Offering (Traffic Control, ANPR, ALPR, Incident Response, Enforcement, Smart Signals, RSUS, Sensors, Cameras, AI, ML, Analytics), Application (Accident Prevention, Work Zone Safety, Violation Management) - Global Forecast to 2030
The road safety market is witnessing strong growth, projected to rise from around USD 6.69 billion in 2025 to over USD 12.39 billion by 2030, registering a CAGR of nearly 13.1%. The major players in the road safety market include Siemens (Germany), Motorola Solutions (US), Jenoptik (Germany), Kapsch TrafficCom (Austria), Sensys Gatso Group (Sweden), Verra Mobility (US), Teledyne FLIR (US), IDEMIA (France), Vitronic (Germany), and SWARCO (Austria).
- Published: July 2025
- Price: $ 7150
- TOC Available:
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