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Artificial Intelligence in Big Data, Commercial Apps, Mobility and Search

April 2013

Pages: 55

Single-user License: $ 995 USD
Team License (up to five users): $ 2,995 USD
Company-wide License: $ 1,865 USD

Keywords: Artificial Intelligence, AI, AI Big Data, AI Applications, AI Mobile, AI Wireless, AI Search

Overview

Artificial Intelligence (AI) facilitates the efficient and effective supply of information to enterprises for optimized business decision-making. Major IT and software vendor companies are investing billions to generate revenue from AI based commercial solutions in various areas including robotics, machine translators, chat bots, voice recognizers, business intelligence systems, mobility control systems, intelligent search, and more.

The AI based solution market is valued at US$ 900 million globally by year end 2013 and is expected to grow exponentially over the next five years. Some of the biggest opportunity areas are commercial applications, search in the Big Data environment, and mobility control for generation of actionable business intelligence. The entire mobile/wireless ecosystem is well-positioned for AI via the growing adoption and expanded usage of consumer and enterprise electronics devices including smartphone, tablet, portable devices and wearable technologies.

This research evaluates the market for AI solutions within commercial applications, business intelligence, search analytics in mobility environment, and more. This report analyzes the potential for enterprises to improve performance through AI, development of AI solution in cloud environment, and AI for Big Data control. The report also includes vendor analysis and market predictions.

See Table of Contents for complete list of areas covered.

Audience

  • AI companies
  • Big Data companies
  • Mobile network operators
  • Wireless device manufacturers
  • Wireless application developers
  • Analytics and data reporting companies
  • Cloud infrastructure and service providers

Companies in Report

Apple, Google, Microsoft, IBM, HP, Intel, SAP, Facebook, Oracle, 12 Technologies, SAS System, Dell, Amazon, HTC, LG, Sony, Nokia, Lenovo, Samsung, Optimizely, Netflex, Motorola, Toshiba, Datalogic, Honeywell, Teradata, Tableu, Qliktech, Tetapp, Fuzitsu, Cloudera, 10Gen, Splunk, Actian, Cisco, Accenture, Hitachi, VMWare

Table of Contents

  • Executive Summary
  • Introduction
  • Artificial Intelligence
  • Definitions
  • Philosophy
  • The Birth of AI
  • AI Timeline
  • AI Research
  • Recent AI Research and Implementation
  • Looking for AI
  • Fundamental Concern of AI
  • AI Tools
  • Basic Elements of AI
  • Strong Artificial Intelligence
  • Weak Artificial Intelligence
  • AI and Nature
  • Knowledge Representation
  • AI Languages and Tools
  • Principal AI Application Areas
  • Comparison between AI and General Programmer
  • Three Laws of Robotics
  • Turing Test
  • AI Future Prediction
  • AI Dominant Global Market and Dominant Global Players
  • Where is AI?
  • AI Based Applications
  • AI Ultimate Future and Prediction
  • AI Market
  • The Business Case for Artificial Intelligence
  • Big Data for Artificial Intelligence
  • What is Big Data?
  • Big Data Means Five ‘V
  • The Application of Artificial Intelligence
  • Big Data Forecasts and Market Estimates
  • Big Data Market Highlights and Trends
  • Artificial Intelligence in Mobile Devices
  • AI on your Smartphone is Helpful
  • AI Mobility
  • Mobile Data as the Engine for AI
  • Vendor Analysis
  • IBM
  • Optimizely
  • Amazon
  • Netflix
  • Apple
  • Apps and FAQ
  • Mobility, Searcha and Big Data
  • Conclusions and Recommendations

List of Graphs

  • Figure 1: General Areas of Artificial Intelligence
  • Figure 2: Artificial Intelligence Breakthroughs 1950-2013
  • Figure 3: Artificial Intelligence Timeline 1941-1991
  • Figure 4: The Basic Picture Underlying Russell's Account of Intelligence/Rationality
  • Figure 5: Fundamental Parts of AI
  • Figure 6: Neural Network
  • Figure 7: Elements of AI
  • Figure 8: AI Tools
  • Figure 9: Robot Laws
  • Figure 10: Turing Test System of AI Justify
  • Figure 11: AI Vendor Revenue 2012
  • Figure 12: AI Based Global Dominant Players
  • Figure 13: Where is AI?
  • Figure 14: AI Application Areas
  • Figure 15: AI Implementations Region
  • Figure 16: Big Data Market Overview 2013-2020
  • Figure 17: Big Data Revenue by Segments 2012-2013
  • Figure 18: Big Data Revenue by Type 2012-2013
  • Figure 19: Hadoop Based Company Revenues 2012-2013
  • Figure 20: Big Data Drivers
  • Figure 21: Big Data and Sample Application
  • Figure 22: Big Data and IT Spending
  • Figure 23: AI and Operating System Market Size
  • Figure 24: Mobile and AI sector Investment 2010-2013
  • Figure 25: Mobile Based AI Field Revenue CAGR 25%
  • Figure 26: Recent Stored Data-Petabytes
  • Figure 27: AI Global Market Trends 2012-2220
  • Figure 28: BI market will Grow Smoothly
  • Figure 29: Big Data Search India-USA-Singapore-AUS-S. Korea
  • Figure 30: Big Data, AI, BI Search Comparison
  • Figure 31: AI Based New Sectors and Opportunity Smart Device Market Share %
  • Figure 32: AI Based JOB Sector-Java, C+HTML, PHP
  • Figure 33: Top Auto Data Capture Suppliers Revenues 2013

List of Tables

  • Table 1: Significant AI Researcher
  • Table 2: Four Possible Goals for AI
  • Table 3: AI's Domain of Study
  • Table 4: Comparison of AI with Conventional Programming
  • Table 5: AI Implemented Fields
  • Table 6: 2012 Worldwide Big Data Revenue
  • Table 7: Most Transformational Technologies 2013-2020
  • Table 8: Sector Sales Analysis
  • Table 9: Top Business Priorities in AI