Artificial Intelligence and Cognitive Computing Research Report 2017-2022: Market Outlook for Communications, Applications, Content, and Commerce - Research and Markets
DUBLIN, Apr 6, 2017 /PRNewswire/ --
Research and Markets has announced the addition of the "Artificial Intelligence and Cognitive Computing: Market Outlook for Communications, Applications, Content, and Commerce 2017 - 2022" report to their offering.
Artificial Intelligence (AI) represents machine-based intelligence, typically manifest in "cognitive" functions that humans associate with other human minds. There are a range of different technologies involved in AI including Machine Learning, Natural Language Processing, Deep Learning, and more. Cognitive Computing involves self-learning systems that use data mining, pattern recognition and natural language processing to mimic the way the human brain works.
This research assesses the AI ecosystem, technologies, solutions and market outlook. Key industry verticals covered include use of AI in Internet related services and products, Financial Services, Medical and Bio-informatics, Manufacturing, and Telecommunications. Some of the key application areas covered include Marketing and Business Decision Making, Workplace Automation, Predictive Analysis and Forecast, Fraud Detection and Classification.
The report provides detailed forecasts globally, regionally, and across the following market segments:
- Predictive Analysis and Forecasting
- Marketing and Business Decision Making
- Fraud Detection and Classification
- Workplace Automation
Select Research Findings:
- Data Mining will be a leading global segment for AI, reaching $8.5B in revenue by 2022
- Combination of AI and cognitive computing to propel market growth in key industry verticals
- Substantial opportunities for data mining software and platform developers to create algorithms
- AI to take on substantive digital security role as signature-based protection not sufficient for industry
- AI to become a core component of virtually all online communication, digital content, and commerce
- AI to become extensively embedded in many solutions, apps, products and services including predictive analytics, automated laboratories and factories, self-driving cars and unmanned vehicles
Select Report Benefits:
- Forecasts for AI regionally and across industry verticals 2017 - 2022
- 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
Target Audience:
- Artificial Intelligence companies
- Big Data and analytics companies
- Robotics and automation companies
- Cloud and Internet of Things companies
- Investment firms focused on automation
- Product and service providers of all types
- Governments and NGO R&D organizations
Key Topics Covered:
1 Introduction
1.1 Research Background
1.2 Research Scope
1.3 Organizations in Report
2 Executive Summary
3 Artificial Intelligence
3.1 Overview
3.2 Market Definitions
3.2.1 Client
3.2.2 Intelligent Software Agent
3.2.3 Problem Solving
3.3 Practical Approaches to AI
3.4 Machine Learning
3.4.1 Supervised Learning
3.4.2 Unsupervised Learning
3.4.3 Semi-supervised Learning
3.4.4 Reinforcement Learning
3.5 Deep Learning
3.5.1 Artificial Neural Networks
3.6 Cognitive Computing
3.7 AI Algorithms in Applications
3.7.1 Natural Language Processing
3.7.2 Machine Perception
3.7.3 Data Mining
3.7.4 Motion and Manipulation
3.8 Limitations and Challenges for AI Expansion
3.9 Artificial Intelligence Opportunities and Drivers
3.10 Artificial Intelligence and Digital Security
4 Intellectual Property Leadership by Country and Company
4.1 Global AI Patents
4.2 AI Patents by Leading Countries
4.3 Global Machine Learning Patents
4.4 Machine Learning Patents by Leading Countries
4.5 Machine Learning Patents by Leading Companies
4.6 Global Deep Learning Patents
4.7 Deep Learning Patents by Leading Countries
4.8 Global Cognitive Computing Patents
4.9 Cognitive Computing Patents by Leading Countries
4.10 AI and Cognitive Computing Innovation Leadership
5 Global Market for Artificial Intelligence
5.1 Global Markets for AI 2017 - 2022
5.2 Global Market for AI by Segment 2017 - 2022
5.3 Regional Markets for AI 2017 - 2022
5.4 AI Market by Key Application 2017 - 2022
5.4.1 AI Markets for Predictive Analysis and Forecast 2017 - 2022
5.4.2 AI Market for Marketing and Business Decision Making 2017 - 2022
5.4.3 AI Market for Fraud Detection and Classification 2017 - 2022
5.4.4 AI Market for Workplace Automation 2017 - 2022
6 AI in Select Industry Verticals
6.1 Market for AI by Key Industry Vertical 2017 - 2022
6.1.1 AI Market for Internet-related Services and Products 2017 - 2022
6.1.2 AI Market for Telecommunications 2017 - 2022
6.1.3 AI Market for Medical and Bio-Informatics 2017 - 2022
6.1.4 AI Market for Financial Services 2017 - 2022
6.1.5 AI Market for Manufacturing and Heavy Industry 2017 - 2022
6.2 AI in other Industry Verticals
7 AI in Major Market Segments
7.1 AI Market by Product Segment 2017 - 2022
7.2 Market for Embedded AI within other Technologies 2017 - 2022
7.2.1 AI Algorithms in Data Mining 2017 - 2022
7.2.2 AI in Machine Perception Technology in 2017 - 2022
7.2.3 Market for AI Algorithms in Pattern Recognition Technology 2017 - 2022
7.2.4 Market for AI Algorithm in Intelligent Decision Support Systems Technology 2017 - 2022
7.2.5 Market for AI Algorithms in Natural Language Processing Technology 2017 - 2022
8 Select Companies and Solutions
8.1 Apple Inc.
8.2 Facebook
8.3 Google
8.4 IBM
8.5 Microsoft
9 Important AI Patents 2010 - 2015
For more information about this report visit http://www.researchandmarkets.com/research/4fl4h4/artificial
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