Here are relevant reports on : ai-deployment-market
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Call Center AI Market by Component, Mode of Channel (Phone, Social Media, & Chat), Application (Workforce Optimization & Predictive Call Routing), Deployment Mode, Vertical and Region - Global Forecast to 2027
The global Call Center AI Market size is projected to reach USD 4.1 billion by 2027, at a Compound Annual Growth Rate (CAGR) of 21.3% during the forecast period. IBM (US), Microsoft (US), Oracle (US), AWS (US), SAP (Germany), Google (US), Avaya (US), NICE (Israel), Nuance Communications (US), Genesys (US), 8x8 (US), Artificial Solutions (Sweden), Zendesk (US), Five9 (US), RingCentral (US), Talkdesk (US), Dialpad (US), Twilio (US), Kore.ai (US), Inbenta (US), Creative Virtual (UK), Haptik (India), Rulai (US), Pypestream (US), Avaamo (US), Senseforth.ai (US), Observe.AI (US), Yellow.ai (US), Ultimate.ai (Germany), and Cognigy (Germany).
- Published: May 2022
- 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
- TOC Available:
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Blockchain AI Market by Technology (ML & NLP), Component (Platform/Tools & Services), Deployment Mode, Organization Size, Application (Smart Contracts, Payments, & Asset Tracking), Vertical (BFSI, Automotive, & Media), and Region - Global Forecast to 2025
The Blockchain AI Market is expected to grow from USD 228 million in 2020 to USD 703 million by 2025, at a CAGR of 25.3% during the forecast period. Key and innovative vendors in the Blockchain AI market include Figure Technologies (US), Cyware Labs (US), Core Scientific (US), NetObjex (US), Fetch.ai (UK), Ai-Blockchain (US), AlphaNetworks (US), Bext360 (US), Blackbird.AI (US), BurstIQ (US), Chainhaus (US), CoinGenius (US), Computable (US), Finalze (US), Gainfy (US), Hannah Systems (US), LiveEdu (UK), Mobs (US), Neurochain Tech (France), Numerai (US), SingularityNET (The Netherlands), Stowk (US), Synapse AI (US), Talla (US), Verisart (US), VIA (US), Vytalyx (US), Wealthblock.AI (US), and Workdone (US).
- Published: November 2020
- Price: $ 4950
- TOC Available:
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AI in Supply Chain Market by Offering (Software, Services), Deployment (Cloud, On-premises, Hybrid), Application (Demand Planning & Forecasting, Warehouse & Transportation Management, Supply Chain Risk Management) - Global Forecast to 2032
The global AI in supply chain market is projected to grow from USD 13.93 billion in 2025 to USD 50.41 billion by 2032 at a CAGR of 20.2%. The key players SAP SE (Germany), Oracle (US), Blue Yonder Group, Inc. (US), Kinaxis Inc. (Canada), and Manhattan Associates (US).
- Published: January 2026
- Price: $ 4950
- TOC Available:
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AI in Project Management Market by Component (Solution (Robotic Process Automation, Chatbots & Intelligent Virtual Assistants, Others), Service), Application, Deployment Mode, Organization Size, Vertical and Region - Global Forecast to 2028
The global market for AI in project management is projected to reach USD 5.7 billion by 2028, at a CAGR of 17.3% during the forecast period. Major vendors in the global AI in Project Management market are IBM (US), Oracle (US), Hitachi (Japan), Adobe (US), Microsoft (US), TIS (Japan), ServiceNow (US), Atlassian (Australia), Alice Technologies (US), Aitheon (US), PMaspire (Singapore), Forecast (UK), ClickUp (US), Zoho (India), ProofHub (US), Azeendo (France), Bubblz (France), Lili.ai (France), RationalPlan (Romania), ClearStrategy (Ireland), Saviom (Australia), CodeComplete (Japan), monday.com (Israel), ImageGrafix (UAE), Orangescrum (US), Smartsheet (US), PSOhub (Netherlands), Bitrix24 (US), Asana (US), and Wrike (US).
- Published: March 2023
- Price: $ 4950
- TOC Available:
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AI in Telecommunication Market by Technology, Application (Network Optimization, Network Security, Self-diagnostics, Customer Analytics, and Virtual Assistance), Component (Solutions and Services), Deployment Mode, and Region - Global Forecast to 2022
The increasing adoption of Artificial Intelligence (AI) for various applications in the telecommunication industry and utilization of AI-enabled smartphones are expected to be driving the growth of the AI in telecommunication market. MarketsandMarkets expects the global AI in telecommunication market to grow from USD 235.7 Million in 2016 to USD 2,497.8 Million by 2022, at a Compound Annual Growth Rate (CAGR) of 46.8% during the forecast period. The base year considered for the study is 2016 and the forecast period is 2017–2022. The AI in telecommunication market report encompasses the competitive landscape and company profiles of the key vendors based on their product offerings and business strategies. The major AI in telecommunication vendors include IBM (US), Microsoft (US), Intel (US), Google (US), AT&T (US), Cisco Systems (US), Nuance Communications (US), Sentient Technologies (US), H2O.ai (US), Infosys (India), Salesforce (US), and NVIDIA (US).
- Published: February 2018
- Price: $ 4950
- TOC Available:
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Data Center GPU Market by Deployment (Cloud, On-premises), Function (Training, Inference), Application (Generative AI, Machine Learning, Natural Language Processing, Computer Vision), End User (CSP, Enterprises) & Region - Global Forecast to 2030
The global data center GPU market is expected to grow from USD 119.97 billion in 2025 to USD 228.04 billion by 2030, at a compound annual growth rate (CAGR) of 13.7% during the forecast period. The Key Players NVIDIA Corporation (US), Advanced Micro Devices, Inc. (US), Intel Corporation (US), Google Cloud (US), Microsoft (US), Amazon Web Services, Inc. (US), IBM (US), Alibaba Cloud (Singapore), Oracle (US), Tencent Cloud (China), Coreweave (US), Vast.ai (US), Lambda (US), DigitalOcean (US), and JarvisLabs.ai (India).
- Published: May 2025
- Price: $ 4950
- TOC Available:
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AI in Fintech Market by Component (Solution, Service), Application Area (Virtual Assistant, Business Analytics & Reporting, Customer Behavioral Analytics), Deployment Mode (Cloud, On-Premises), and Region - Global forecast to 2022
The AI in Fintech market size is expected to grow from USD 959.3 Million in 2016 to USD 7,305.6 Million by 2022, at a Compound Annual Growth Rate (CAGR) of 40.4%. The AI in Fintech market report encompasses the competitive landscape, which presents the positioning of the 25 key AI in Fintech vendors, based on their product offerings and business strategies. Some of the major vendors are Microsoft (Washington, US), Google (California, US), Salesforce.com (California, US), IBM (New York, US), Intel (California, US), Amazon Web Services (Washington, US), Inbenta Technologies (California, US), IPsoft (New York, US), Nuance Communications (Massachusetts, US), and ComplyAdvantage.com (New York, US).
- Published: September 2017
- Price: $ 4950
- TOC Available:
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AI Infrastructure Market by Offerings (Compute (GPU, CPU, FPGA), Memory (DDR, HBM), Network (NIC/Network Adapters, Interconnect), Storage, Software), Function (Training, Inference), Deployment (On-premises, Cloud, Hybrid) – Global Forecast to 2030
The AI Infrastructure market is expected to grow from USD 135.81 billion in 2024 to USD 394.46 billion by 2030, at a compound annual growth rate (CAGR) of 19.4% during the forecast period.The key players NVIDIA Corporation (US), Advanced Micro Devices, Inc. (US), SK HYNIX INC. (South Korea), SAMSUNG (South Korea), Micron Technology, Inc. (US), Intel Corporation (US), Google (US), Amazon Web Services, Inc. (US), Tesla (US), Microsoft (US), Meta (US), Graphcore (UK), Groq, Inc. (US), Shanghai BiRen Technology Co., Ltd. (China), Cerebras (US).
- Published: November 2024
- Price: $ 4950
- TOC Available:
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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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