Here are relevant reports on : ai-in-fintech-market
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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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Fintech as a Service (FaaS) Market Size Share, Growth Analysis by Type (Banking, Payment, Insurance, Investment), Technology (AI, Blockchain, RPA, API), Application, End User and Region - Global Industry Forecast to 2029
The Fintech as a Service (FaaS) market size is projected to reach USD 806.9 billion by 2029 at a Compound Annual Growth Rate (CAGR) of 17.6% during the forecast period. PayPal (US), Mastercard (US), Fiserv (US), Block (US), Rapyd (UK), Envestnet (US), Upstart (US), Solid Financial (US), FIS (US), Synctera (US), Stripe (US) , Adyen (Netherlands), Dwolla (US), Finastra (UK), Revolut (UK), Fispan (Canada), Nium (Singapore), Airwallex (Australia), Sofi Technologies Inc. (US), Margeta (US), Finx (US), Synapse (US).
- Published: July 2024
- Price: $ 4950
- TOC Available:
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FinTech Blockchain Market by Provider, Application (Payments, Clearing, and Settlement, Exchanges and Remittance, Smart Contract, Identity Management, and Compliance Management/KYC), Organization Size, Vertical, and Region - Global Forecast to 2023
The FinTech blockchain market is expected to grow from USD 370.3 Million in 2018 to USD 6,228.2 Million by 2023, at a Compound Annual Growth Rate (CAGR) of 75.9% during the forecast period. The major drivers of the FinTech blockchain market include the higher compatibility with financial industry ecosystem, the rising crypto-currency market cap and Initial Coin Offering (ICO), faster transaction, and reduced total cost of ownership. The future growth opportunities for FinTech blockchain market include the rising adoption of blockchain applications, such as payments, clearing, and settlements, smart contracts, and identity management, and a new breed of programmable blockchain platform. The major FinTech blockchain technology vendors include AWS (US), IBM (US), Microsoft (US), Ripple (US), Chain (US), Earthport (UK), Bitfury (US), BTL Group (Canada), Oracle (US), Digital Asset Holdings (US), Circle (Ireland), Factom (US), AlphaPoint (US), Coinbase (US), Abra (US), Auxesis Group (India), BitPay (US), BlockCypher (US), Applied Blockchain (UK), RecordesKeeper (Spain), Symbiont (US), Guardtime (Estonia), Cambridge Blockchain (US), Tradle (US), and Blockchain Advisory Mauritius Foundation (Mauritius).
- Published: June 2018
- Price: $ 4950
- TOC Available:
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Conversational AI Market by Technology (Supervised Learning, Reinforcement Learning, Sentiment Analysis, ASR, Speech to Text, Data Mining, Voice Activity Detection), Conversational Agents (Generative AI, AI Bots, IVA) - Global Forecast to 2030
The conversational AI market is projected to reach USD 49.9 billion by 2030, at a compound annual growth rate (CAGR) of 24.9% during the forecast period. Some major players in the conversational AI market include Microsoft (US), IBM (US), Google (US), OpenAI (US), Baidu (China), AWS (US), Artificial Solutions (Sweden), SAP (Germany), Oracle (US), Kore.ai (US), and other players. Startup/SMEs covered in the market include Twilio (US), Sprinklr (US), Boost.ai (Norway), Cognigy (Germany), Rasa (Germany), Saarthi.ai (India), Senseforth.ai (India), Yellow.ai (US), Exceed.ai (US), Clinc (US), Laiye (China), Rulai (US), Quiq (US), and Pypestream (US).
- Published: April 2024
- Price: $ 4950
- TOC Available:
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Deep Learning Market by Offering (Hardware, Software, and Services), Application (Image Recognition, Signal Recognition, Data Mining), End-User Industry (Security, Marketing, Healthcare, Fintech, Automotive, Law), and Geography - Global Forecast to 2023
The deep learning market is estimated to be valued at USD 3.18 Billion in 2018 and is expected to reach USD 18.16 Billion by 2023, at a CAGR of 41.7% between 2018 and 2023. Major drivers for this market are improving computing power and declining hardware cost; the increasing adoption of cloud-based technology; usage in big data analytics; and growing AI adoption in customer-centric services. Companies that are profiled in this report are NVIDIA (US), Intel (US), Xilinx (US), Samsung Electronics (South Korea), Micron Technology (US), Qualcomm (US), IBM (US), Google (US), Microsoft (US), and AWS (US). Some of the key start-ups included in this report are Graphcore (UK), Mythic (US), Adapteva (US), and Koniku (US).
- Published: March 2018
- 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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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
- TOC Available:
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Emotion AI Market by Solutions (Emotion Recognition, Emotion AI SDKs and APIs, Emotion Analytics), Type (Text-Focused, Voice-Focused, Video & Multimodal), Technology (Machine Learning, NLP, Computer Vision) - Global Forecast to 2030
The Emotion AI market is projected to reach USD 9.01 billion by 2030, at a CAGR of 21.9% during the forecast period. The report profiles key players such as IBM (US), Microsoft (US), Google (US), Amazon (US), Smart Eye (Sweden), Entropik Tech (India), Uniphore (US), Audeering GmbH (Germany), VIER GmbH (Germany), Cognitec (Germany), Symanto (Germany), Realeyes (UK), CIPIA Vision (Israel), Noldus (Netherlands), Cogito (US), Morphcast (US), Voicesense (Israel), Superceed (Malaysia), Siena AI (US), Opsis (Singapore), Behavioral Signals (US), Hume (US), Kairos (US), Beemotion.AI (Australia), Intelligent Voice (UK), Davi (France), Utrigg (Ukraine), AttentionKart (India) and VERN AI (US).
- Published: December 2024
- Price: $ 4950
- TOC Available:
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Edge AI Software Market by Technology (Generative AI, Machine Learning (ML) (Supervised Learning, Reinforcement Learning), Natural Language Processing (NLP), Computer Vision), Data Modality (Spatial Data, Temporal Data) - Global Forecast to 2030
The edge AI software market is projected to reach USD 7.19 billion by 2030, at a CAGR of 24.7% during the forecast period. The major edge AI software providers include Microsoft (US), IBM (US), Google (US), AWS (US), Nutanix (US), Synaptics (US), Gorilla Technologies (UK), Infineon Technologies (Germany), Intel (US) and VEEA (US). These companies have used both organic and inorganic growth strategies, such as product launches, acquisitions, and partnerships, to strengthen their position in the edge AI software market.
- Published: December 2024
- Price: $ 4950
- TOC Available:
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AI in Video Surveillance Market by Offering (AI Camera, Video Management System, Video Analytics), Deployment (Cloud, Edge), Technology (Machine Learning, Deep Learning, GenAI, Computer Vision, Natural Language Processing) - Global Forecast to 2030
The AI in video surveillance market is expected to grow from USD 3.90 billion in 2024 to USD 12.46 billion by 2030, at a compound annual growth rate (CAGR) of 21.3% during the forecast period.The key players Hikvision Digital Technology Co., Ltd. (China), Dahua Technology Co., Ltd. (China), Motorola Solutions, Inc. (US), Milestone Systems A/S (Denmark), SenseTime (Hong Kong), Irisity (Sweden), NEC Corporation (Japan), Axis Communications AB (Sweden), Genetec Inc. (Canada), Hanwha Vision Co., Ltd., (South Korea), BriefCam (US), MOBOTIX AG (Germany), Teledyne Technologies Incorporated (US), Honeywell International Inc. (US), VIVOTEK Inc. (Taiwan), Verkada Inc. (US), Morphean SA (Switzerland), Bosch Sicherheitssysteme Gmbh (US), i-PRO (Japan), Camcloud (Canada), Ivideon (Russia), Hakimo, Inc. (US), promiseQ Gmbh (Germany), Rhombus Systems (US), Umbo Computer Vision Inc. (US) .
- Published: December 2024
- Price: $ 4950
- TOC Available:
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