Here are relevant reports on : ai-in-industry-verticals-market
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High-performance Computing (HPC) Market by Component, Computation Type (Parallel Computing, Distributed computing and Exascale Computing), Industry, Deployment, Server Price Band, Verticals & Region - 2027
The High performance computing (HPC) market is projected to reach USD 49.9 billion by 2027, at a CAGR of 6.7% during the forecast period. Some of the key companies operating in the market are Advanced Micro Devices (US), Intel (US), HPE (US), IBM (US), Dell (US), Lenovo (China), Fujitsu (Japan), Atos (France), CISCO (US), Nvidia (Japan), NEC Corporation (Japan) and so on.
- Published: May 2022
- Price: $ 4950
- TOC Available:
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COVID-19 Impact on Analytics Market by Components, Verticals and Region - Global Forecast to 2021
The COVID-19 impact on the global analytics market size is expected to grow USD 33.8 billion by 2021, at a Compound Annual Growth Rate (CAGR) of 15.5% during the forecast period. The report includes the study of the key players offering analytics solutions and services. Major vendors in the global analytics market include Microsoft (US), Teradata (US), IBM (US), Oracle (US), SAS Institute (US), Google (US), Adobe (US), Talend (US), Qlik (US), TIBCO Software (US), Alteryx (US), Sisense (US), Informatica (US), Splunk (US), Hitachi Vantara (US), Information Builders (US), AWS (US), SAP (Germany), Salesforce (US), Micro Focus (UK), MicroStrategy (US), Gorilla Technology (US), and ThoughtSpot (US).
- Published: April 2020
- Price: $ 4950
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Generative AI Cybersecurity Market by Generative AI-based Cybersecurity (SIEM, Risk Assessment, Threat Intelligence), Cybersecurity Software for Generative AI (AI Model Security), Security Type (Data Encryption, Access Control) - Global Forecast to 2031
The generative AI cybersecurity market is undergoing rapid expansion, with estimates projecting a substantial market value surge from USD 8.65 billion in 2025 to USD 35.50 billion by 2031, at a CAGR of 26.5% during the forecast period. Microsoft (US), IBM (US), Google (US), SentinelOne (US), AWS (US), NVIDIA (US), Cisco (US), CrowdStrike (US), Fortinet (US), Zscaler (US), Trend Micro (Japan), Palo Alto Networks (US), BlackBerry (Canada), Darktrace (UK), F5 (US), Okta (US), Sangfor (China), SecurityScorecard (US), Sophos (UK), Broadcom (US), Trellix (US), Veracode (US), LexisNexis (US), Abnormal Security (US), Adversa AI (Israel), Aquasec (US), BigID (US), Checkmarx (US), Cohesity (US), Credo AI (US), NeuralTrust (Spain), Cybereason (US), DeepKeep (Israel), Elastic NV (US), Flashpoint (US), Lakera (US), MOSTLY AI (Austria), Recorded Future (US), Secureframe (US), Skyflow (US), SlashNext (US), Snyk (US), Tenable (US), TrojAI (Canada), VirusTotal (Spain), XenonStack (UAE), and Zerofox (US) are leading plaryes in generative AI cybersecurity market
- Published: August 2025
- Price: $ 4950
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Legal AI Software Market by Offering (Legal AI Platforms, Generative AI Agents, Legal Drafting Tools, Report Generation Tools), Application (Ediscovery, Legal Research & Analytics, Contract Drafting & Review, IP Management) - Global Forecast to 2030
The legal AI software market is expected to grow from USD 3.11 billion in 2025 to USD 10.82 billion by the year 2030, at a CAGR of 28.3% during the forecast period. The major players in the legal AI software market include LexisNexis (US), Thomson Reuters (Canada), Sirion (US), Wolters Kluwer (Netherlands), Relativity (US), CS DISCO (US), and Consilio (US), along with SMEs and startups such as Harvey (US), vLex (US), Lawgeex (US), Neota Logic (US), and eBrevia (US).
- Published: February 2025
- Price: $ 4950
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AI in Networks Market by Offering (Router & Switches, AI Networking Platform, Management Software, Software Defined Networking), Function (Optimization, Cybersecurity, Predictive Maintenance), Technology (Gen AI, ML, NLP) - Global Forecast to 2029
The global AI in Networks market is expected to grow from USD 10.9 billion in 2024 to USD 46.8 billion by 2029, at a compound annual growth rate (CAGR) of 33.8% during the forecast period.The key players NVIDIA Corporation, Cisco Systems, Inc. (US), Telefonaktiebolaget LM Ericsson (Sweden), Hewlett Packard Enterprise Development LP (US), Arista Networks, Inc. (US).
- Published: August 2024
- Price: $ 4950
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AI in Sports Market by Solutions (Performance Analytics, Player Monitoring, Broadcast Management), Technology (Generative AI and Other AI), and End User (Sports Associations, Sports Teams) - Global Forecast to 2030
The AI in Sports market is projected to reach USD 2.61 billion by 2030 at a compound annual growth rate (CAGR) of 16.7% during the forecast period. The major vendors covered in the AI in Sports market are 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), SAS Institute (US). These players have adopted various growth strategies, such as partnerships, agreements and collaborations, new product launches, enhancements, and acquisitions to expand their footprint in the AI in Sports market.
- Published: November 2024
- Price: $ 4950
- TOC Available:
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Enterprise AI Market by Component (Solution & Services), Technology, Application Area (Security & Risk, Marketing, Customer Support & Experience, HR & Recruitment, Process Automation), Deployment, Organization Size, Industry, & Region - Forecast to 2022
MarketsandMarkets expects the global enterprise Artificial Intelligence (AI) market to grow from USD 845.4 Million in 2017 to USD 6,141.5 Million by 2022, at a Compound Annual Growth Rate (CAGR) of 48.7% during the forecast period. The rising demand for AI-based solutions and platforms, and the need to analyze large and complex data sets are expected to drive the growth of the enterprise AI market. The enterprise AI market report encompasses the competitive landscape and company profiles of the key vendors based on their product offerings and business strategies. The major enterprise AI vendors include IBM (US), Microsoft (US), AWS (US), Intel (US), Google (US), SAP (Germany), Sentient Technologies (US), Oracle (US), HPE (US), and Wipro (India).
- Published: March 2018
- Price: $ 4950
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Artificial Intelligence (AI) in Construction Market by Technology, Stage, Component, Application, Deployment Type, Organization Size, Industry Type (Residential, Institutional Commercial, and Heavy Construction), and Region - Global Forecast to 2023
MarketsandMarkets expects the global Artificial Intelligence (AI) in construction market to grow from USD 407.2 Million in 2018 to USD 1,831.0 Million by 2023, at a Compound Annual Growth Rate (CAGR) of 35.1% during the forecast period. The rising demand for AI-based solutions and platforms, the need for more safety measures at construction sites, and the capabilities of AI solutions and services to reduce the production costs are expected to drive the growth of the AI in construction market. The AI in construction market report encompasses the competitive landscape and company profiles of the key vendors based on their product offerings and business strategies. The key AI in construction vendors include IBM (US), Microsoft (US), Oracle (US), SAP (Germany), Alice Technologies (US), eSUB (US), Smartvid.io(US), Aurora Computer Services(England), Autodesk(US), and Building System Planning (US).
- Published: May 2018
- Price: $ 4950
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AI for Customer Service Market by Product Type (AI Agents, Recommendation Systems (Knowledge Base Platforms), Workflow Automation (RPA, CRM Automation), Content Generation, Customer Journey Analytics, Service Quality Management) - Global Forecast to 2030
The AI for customer service market is projected to reach USD 47.82 billion by 2030, at a CAGR of 25.8% during the forecast period. Some major players in the AI for customer service Market include Microsoft (US), IBM (US), Google (US), AWS (US), Salesforce (US), Atlassian (Australia), ServiceNow (US), SAP (Germany), Zendesk (US), Sprinklr (US), OpenAI (US), Aisera (US), UiPath (US), HubSpot (US), NICE (Israel), Intercom (US),Qualtrics (US), Freshworks (US), LivePerson (US), HelpShift (US), Yellow.ai (US), Cogito (US), SmartAction (US), Talkdesk (US), Five9 (US), RingCentral (US), Nextiva (US), Kore.ai (US), Dynamic Yield (US), Jio Haptik (India), Oracle (US), Afiniti (Bermuda), Kommunicate (US), Help Scout (US), Gorgias (US), Atera (Israel), Ada (US), Kustomer (US), Levity (Germany), Cognigy (Germany), Engageware (US), Netomi (US), Level AI (US), Sybill AI (US), OneAI (US), Brainfish (Australia), SentiSum (England), Balto (US), Tovie AI (UK), Guru (US), Tidio (US), Quiq (US), Aircall (US), OneReach.ai (US), Cresta (US), Deepdesk (Netherlands), Front (US), Fullview (Denmark), Crescendo AI (US), Gridspace (US).
- Published: February 2025
- 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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