Artificial Intelligence, Machine Learning, and Cognitive Computing: Market and Outlook for Communications, Applications, Content and Commerce 2016 2021




Published: May 2016   Pages: 92
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Overview:

Artificial Intelligence is a technology that uses machine intelligence and human like thinking ability to process historical, and increasingly, real-time data to make predictions, recommendations, and decisions. AI is not a single technology but a convergence of various technologies, statistical models, algorithms, and approaches. Machine Learning is a subfield of computer science that evolved from the study of pattern recognition and computational learning theory in AI. Cognitive Computing involves self-learning systems that use data mining, pattern recognition and natural language processing to mimic the way the human brain works.

AI is increasingly integrated in many areas including Internet search, entertainment, commerce applications, content optimization, and robotics. The long-term prospect for these technologies is that they will become embedded in many different other technologies and provide autonomous decision making on behalf of humans, both directly, and indirectly through many processes, products, and services.

This report evaluates the technologies and market for AI. 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. Additionally, there is a strong future for AI in digital security, particularly for support of the Internet of Things (IoT).

The report includes forecasts for the period 2016 to 2021. This includes a market value assessment by Data Mining, Machine Perception, Pattern Recognition, Intelligent Decision Support Systems, Natural Language Processing and more. All purchases of Mind Commerce reports includes time with an expert analyst who will help you link key findings in the report to the business issues you're addressing. This needs to be used within three months of purchasing the report.

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

Report Benefits:

  • Forecasts through 2021
  • Understand AI technologies
  • Identify leading AI companies
  • Learn about leading AI solutions
  • Learn about key AI M&A activity
  • Identify AI integration with applications
  • Understand AI on communications and apps

Organizations in Report:

  • Arizona State University
  • 6Wunderkinder GmbH
  • Adometry
  • ANZ Global Wealth
  • Apple
  • BigParkkko
  • Boston Dynamics
  • Bot & Dolly
  • Bridgewater
  • Canesta, Inc.
  • Charles Schwab
  • Colloquis
  • Cylance
  • Dark Blue Labs
  • Datazen Software, Inc.
  • DeepMind Technologies
  • DNNresearch Inc.
  • Emotient
  • Equivio
  • Explorys
  • Face.com
  • Faceshift
  • FingerWorks
  • Flutter
  • Georgia State University
  • Google
  • Harvard University
  • Holomni
  • IBM
  • Industrial Perception
  • Jetpac
  • lchemyAPI
  • LiveLoop
  • Mapsense
  • Meka Robotics
  • Metaio
  • Microsoft
  • Mobile Data Labs, Inc.
  • Neustar
  • N-trig
  • Oculus VR
  • Pebbles
  • Perceptio
  • Perceptive Pixel
  • Phonetic Arts
  • PittPatt
  • Polar Rose
  • Poly9
  • Redwood Robotics
  • Revolution Analytics
  • Rosetta Biosoftware
  • Salesforce.com
  • SayNow
  • SCHAFT, Inc.
  • Sentillion, Inc.
  • Siri
  • spider.io
  • Surreal Vision
  • The University of Birmingham
  • The University of Leeds
  • The University of Liverpool - Chester College
  • The University of Manchester University of York
  • The Weather Company
  • University of Edinburgh
  • Videosurf
  • Viewdle
  • Vision Factory
  • VocalIQ
  • Wavii
  • Wit.ai
  • Yale University
  • Your.MD

Table of Contents:

1 Introduction
1.1 Research Background
1.2 Scope of the Research
1.3 Organizations in Report
2 Executive Summary
3 Overview
3.1 Introduction to Artificial Intelligence
3.2 Market Definitions
3.2.1 Client
3.2.2 Intelligent Software Agent
3.2.3 Problem Solving
3.2.4 Algorithms
3.3 History of Artificial Intelligence
3.4 Key Characteristics of Artificial Intelligence
3.4.1 Reasoning and Problem Solving
3.4.2 Knowledge Representation and Knowledge Engineering
3.4.3 Planning
3.4.4 Natural Language Processing
3.4.5 Machine Perception
3.4.6 Motion and Manipulation
3.4.7 Data Mining
3.5 Machine Learning
3.5.1 Deep Learning
3.6 Cognitive Computing
4 The Global Artificial Intelligence Marketplace
4.1 Global Markets for Artificial Intelligence 2016 – 2021
4.2 Artificial Intelligence Markets by Technologies 2016 – 2021
4.2.1 Markets for Data Mining Technology in Artificial Intelligence 2016 - 2021
4.2.2 Markets for Machine Perception Technology in Artificial Intelligence 2016 - 2021
4.2.3 Markets for Pattern Recognition Technology in Artificial Intelligence 2016 - 2021
4.2.4 Markets for Intelligent Decision Support Systems Technology in AI 2016 - 2021
4.2.5 Markets for Natural Language Processing Technology in AI 2016 – 2021
4.3 Markets for AI by Key Application Areas 2016 – 2021
4.3.1 AI Markets for Marketing and Business Decision Making 2016 – 2021
4.3.2 AI Markets for Workplace Automation 2016 – 2021
4.3.3 AI Markets for Predictive Analysis and Forecast 2016 – 2021
4.3.4 AI Markets for Fraud Detection and Classification 2016 – 2021
4.4 Market for AI by Key Industry Verticals 2016 – 2021
4.4.1 AI Market for Internet related Services and Products 2016 – 2021
4.4.2 AI Markets for Financial Services 2016 – 2021
4.4.3 AI Market for Medical and Bio-Informatics 2016 – 2021
4.4.4 AI Market for Manufacturing and Heavy Industry 2016 – 2021
4.4.5 AI Market for Telecommunications 2016 – 2021
4.5 Regional Markets for AI 2016 - 2021
5 AI Industry Analysis
5.1 Vendor Ecosystem in AI
5.2 Key Mergers and Acquisitions in AI
5.2.1 Google acquires various Companies in AI
5.2.2 IBM Acquisition of Companies Working in AI
5.2.3 Facebook Acquisition of Companies working in AI
5.2.4 Microsoft Acquisition of Companies Working in AI
5.2.5 Apple Acquisition of Companies Working in AI
5.3 Limitations and Challenges for Expansion of Artificial Intelligence
5.4 Artificial Intelligence Opportunities and Drivers
5.5 An Emerging Area: Artificial Intelligence and Digital Security

Figures

Figure 1: Global AI Market Value 2016 - 2021
Figure 2: Overall Artificial Intelligence Functionality
Figure 3: Artificial Intelligence Market 2016 – 2021
Figure 4: Artificial Intelligence Market by End user Segment 2016 – 2021
Figure 5: Artificial Intelligence by Sub-category 2016 - 2021
Figure 6: Artificial Intelligence Market by Technologies 2016 – 2021
Figure 7: Market for Data Mining Technology in Artificial Intelligence 2016 - 2021
Figure 8: Market for Machine Perception Technology in Artificial Intelligence 2016 - 2021
Figure 9: Market for Pattern Recognition Technology in Artificial Intelligence 2016 - 2021
Figure 10: Market for Intelligent Decision Support Systems Technology in AI 2016 - 2021
Figure 11: Market for Natural Language Processing Technology in AI 2016 - 2021
Figure 12: Artificial Intelligence Market by Applications 2016 - 2021
Figure 13: AI Market for Marketing and Business Decision Making 2016 - 2021
Figure 14: Artificial Intelligence Market for Workplace Automation 2016 - 2021
Figure 15: Artificial Intelligence Market for Predictive Analysis and Forecast 2016 - 2021
Figure 16: AI Market for Fraud Detection and Classification 2016 - 2021
Figure 17: Artificial Intelligence Markets by Industry: 2016 - 2021
Figure 18: AI Market for Internet Services and Products 2016 - 2021
Figure 19: Artificial Intelligence Market for Financial Services 2016 - 2021
Figure 20: Artificial Intelligence Market for Medical and Bio-informatics 2016 - 2021
Figure 21: AI Market for Manufacturing and Heavy Industry 2016 - 2021
Figure 22: Artificial Intelligence Market for Telecommunications 2016 - 2021
Figure 23: Regional Markets for Artificial Intelligence 2016 - 2021
Figure 24: Artificial Intelligence support of Security in the Internet of Things (IoT)

Tables

Table 1: Artificial Intelligence Market 2016 – 2021
Table 2: Artificial Intelligence Market by End user segment 2016 – 2021
Table 3: Artificial Intelligence by Sub-category 2016 - 2021
Table 4: Artificial Intelligence Market by Technologies 2016 – 2021
Table 5: Market for Data Mining Technology in Artificial Intelligence 2016 - 2021
Table 6: Market for Machine Perception Technology in Artificial Intelligence 2016 - 2021
Table 7: Market for Pattern Recognition Technology in Artificial Intelligence 2016 - 2021
Table 8: Market for Intelligent Decision Support Systems Technology in AI 2016 - 2021
Table 9: Market for Natural Language Processing Technology in Artificial Intelligence: 2016 - 2021
Table 10: Artificial Intelligence Market by Applications 2016 - 2021
Table 11: AI Market for Marketing and Business Decision Making 2016 - 2021
Table 12: Artificial Intelligence Market for Workplace Automation 2016 - 2021
Table 13: Artificial Intelligence Market for Predictive Analysis and Forecast 2016 - 2021
Table 14: Artificial Intelligence Market for Fraud Detection and Classification 2016 - 2021
Table 15: Artificial Intelligence Markets by Industry 2016 - 2021
Table 16: Artificial Intelligence Market for Internet Services and Products: 2016 - 2021
Table 17: Artificial Intelligence Market for Financial Services 2016 - 2021
Table 18: Artificial Intelligence Market for Medical and Bio-informatics 2016 - 2021
Table 19: Artificial Intelligence Market for Manufacturing and Heavy Industry 2016 - 2021
Table 20: Artificial Intelligence Market for Telecommunications 2016 - 2021
Table 21: Regional Markets for Artificial Intelligence 2016 - 2021
Table 22: Google Artificial Intelligence Acquisitions
Table 23: IBM Artificial Intelligence Acquisitions
Table 24: Facebook Artificial Intelligence Acquisitions
Table 25: Microsoft in Artificial Intelligence Acquisitions
Table 26: Apple Artificial Intelligence Acquisitions


Categories



Infrastructure

Data and Analytics

M2M and IoT

Devices

Strategy

Artificial Intelligence
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