Global Artificial Intelligence in Information and Communications Technology Ecosystem Report 2020
Dublin, Oct. 28, 2020 (GLOBE NEWSWIRE) — The “Artificial Intelligence in Information and Communications Technology:…
Dublin, Oct. 28, 2020 (GLOBE NEWSWIRE) — The “Artificial Intelligence in Information and Communications Technology: AI and Cognitive Computing in Communications, Applications, Content, and Commerce 2020 – 2025” report has been added to ResearchAndMarkets.com’s offering.
This research assesses the AI in the ICT ecosystem including technologies, solutions and players.
Application areas covered include marketing and business decision making, workplace automation, predictive analysis and forecasting, fraud detection and mitigation. The report provides detailed forecasts globally, regionally, and across market segments from 2020 to 2025. The report also covers AI subset technologies, embedded in other technologies, and cognitive computing in key industry verticals.
While the opportunities for artificial intelligence in the information and communications technology industry are virtually limitless, we focus on a few key opportunities including AI in big data, chatbots, chipsets, cybersecurity, IoT, smart machines and robotics. AI is poised to fundamentally shift the Information and Communications Technology (ICT) industry as technologies such as Machine Learning, Natural Language Processing, Deep Learning, and others.
AI will dramatically enhance the performance of communications, apps, content, and digital commerce. AI will also drive new business models and create entirely new business opportunities as interfaces and efficiencies facilitate engagement that has been heretofore incomprehensible.
Many other industry verticals will be transformed through this evolution as ICT and digital technologies support many aspects of industry operations including supply chains, sales and marketing processes, product and service delivery and support models.
For example, we see particularly substantial impacts on the medical and bioinformatics as well as financial services segments. Workforce automation is an area that will affect many different industry verticals as AI greatly enhances workflow, processes, and accelerates the ROI for smart workplace investments.
Forecasts for AI regionally and across industry verticals 2020 – 2025
Identify key AI functions for communications, content, and commerce
Recognize important intellectual property topic areas and patent holders
Understand challenges and opportunities for AI in workplace automation
Understand the market direction and future of AI and cognitive computing
Identify opportunities for AI to improve productivity across industry verticals
Key Topics Covered:
1 Executive Summary
2.1 Artificial Intelligence Overview
2.1.1 Intelligent Software Agent
2.1.2 Problem Solving
2.2.4 Practical Approaches to AI
2.2 Machine Learning
2.2.1 Supervised Learning
2.2.2 Unsupervised Learning
2.2.3 Semi-Supervised Learning
2.2.4 Reinforcement Learning
2.3 Deep Learning
2.3.1 Artificial Neural Networks
2.3.2 Artificial Neural Network Deployment
2.4 Cognitive Computing
2.5 AI Algorithms in Applications
2.5.1 Natural Language Processing
2.5.2 Machine Perception
2.5.3 Data Mining
2.5.4 Motion and Manipulation
2.6 Limitations and Challenges for AI Expansion
2.7 AI in Information and Communications Technology Industry
2.7.1 AI Market Drivers in ICT
2.7.2 Key AI Opportunities in ICT
220.127.116.11 Artificial Intelligence and Big Data
18.104.22.168 Artificial Intelligence in Chatbots and Virtual Private Assistants
22.214.171.124 Artificial Intelligence in Chipsets and Microelectronics
126.96.36.199 Artificial Intelligence and Cybersecurity
188.8.131.52 Artificial Intelligence and Internet of Things
184.108.40.206 Artificial Intelligence in Network Management and Optimization
220.127.116.11 Artificial Intelligence in Smart Machines and Robotics
3 AI Intellectual Property Leadership by Country and Company
3.1 Global AI Patents
3.2 AI Patents by Leading Countries
3.3 Global Machine Learning Patents
3.4 Machine Learning Patents by Leading Countries
3.5 Machine Learning Patents by Leading Companies
3.6 Global Deep Learning Patents
3.7 Deep Learning Patents by Leading Countries
3.8 Global Cognitive Computing Patents
3.9 Cognitive Computing Patents by Leading Countries
3.10 AI and Cognitive Computing Innovation Leadership
4 AI in ICT Market Analysis and Forecasts 2020 – 2025
4.1 Global Markets for AI 2020 – 2025
4.2 Global Market for AI by Segment 2020 – 2025
4.3 Regional Markets for AI 2020 – 2025
4.4 AI Market by Key Application Area 2020 – 2025
4.4.1 AI Markets for Predictive Analysis and Forecasting 2020 – 2025
4.4.2 AI Market for Marketing and Business Decision Making 2020 – 2025
4.4.3 AI Market for Fraud Detection and Classification 2020 – 2025
4.4.4 AI Market for Workplace Automation 2020 – 2025
5 AI in Select Industry Verticals
5.1 Market for AI by Key Industry Verticals 2020 – 2025
5.1.1 AI Market for Internet-related Services and Products 2020 – 2025
5.1.2 AI Market for Telecommunications 2020 – 2025
5.1.3 AI Market for Medical and Bio-Informatics 2020 – 2025
5.1.4 AI Market for Financial Services 2020 – 2025
5.1.5 AI Market for Manufacturing and Heavy Industries 2020 – 2025
5.2 AI in other Industry Verticals
6 AI in Major Market Segments
6.1 AI Market by Product Segment 2020 – 2025
6.2 Market for Embedded AI within other Technologies 2020 – 2025
6.2.1 AI Algorithms in Data Mining 2020 – 2025
6.2.2 AI in Machine Perception Technology 2020 – 2025
6.2.3 Market for AI Algorithms in Pattern Recognition Technology 2020 – 2025
6.2.4 Market for AI Algorithm in Intelligent Decision Support Systems Technology 2020 – 2025
6.2.5 Market for AI Algorithms in Natural Language Processing Technology 2020 – 2025
7 Important Corporate AI M&A
7.1 Apple Inc.
8. AI in ICT Use Cases
8.1 Verizon Uses AI and Machine Learning To Improve Performance
8.2 Deutche Telecom Uses AI
8.3 H2O.ai Use-cases in Telecommunications powered by AI
8.4 KDDI R&D Laboratories Inc., AI-assisted Automated Network Operation System
8.5 Telefonica AI Use Cases
8.6 Brighterion AI, Worldpay Use cases
9 AI in ICT Vendor Analysis
9.1 IBM Corporation
9.1.1 Company Overview
9.1.2 Recent Developments
9.2 Intel Corporation
9.3 Microsoft Corporation
9.4 Google Inc.
9.5 Baidu Inc.
9.7 Hewlett Packard Enterprise (HPE)
9.8 Apple Inc.
9.9 General Electric (GE)
9.10 LG Electronics
9.11 Digital Reasoning Systems Inc.
9.12 SparkCognition Inc.
9.13 Nuance Communications Inc.
9.15 Facebook Inc.
9.17 Amazon Inc.
9.18 SK Telecom
9.20 PointGrab Ltd.
9.22 SAS Institute Inc.
9.23 AIBrian Inc.
9.24 Brighterion Inc.
9.25 General Vision Inc.
9.26 Sentient Technologies Holdings Limited
9.30 Infosys Nia
9.31 Wipro HOLMES
9.36 Vital AI
9.45 Zebra Medical Vision Inc.
9.46 Fair Isaac Corporation
9.47 Bigml Inc.
9.48 AT&T Speech API
10. Summary and Recommendations
11. Appendix: Key AI in ICT Patents
For more information about this report visit https://www.researchandmarkets.com/r/gerl4k
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