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



Published: Apr 2013
Pages: 
55
Single User: 
$995.00
Company Wide: 
$2,995.00
Team License: 
$1,865.00
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.

Target 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, I2 TECHNOLOGIES, SAS SYSTEM, DELL, AMAZON, HTC, LG, SONY, NOKIA, LENOVO, SAMSUNG, OPTIMIZELY, NETFLEX, MOTOROLLA, TOSHIBA, DATLOGIC, HONEYWELL, TERADATA, TABLEU, QLIKTECH, TETAPP, FUZITSU, CLOUDERA, 10GEN, SPLUNK, ACTIAN, CISCO, ACCENTURE, HITACHI, VMWARE

Table of Contents: 

Table of Contents:

1.0 EXECUTIVE SUMMARY 5
2.0 INTRODUCTION 7
3.0 ARTIFICIAL INTELLIGENCE 9
3.1.1 DEFINITIONS 9
3.1.2 PHILOSOPHY 10
3.1.3 THE BIRTH OF AI 11
3.1.4 AI TIMELINE 13
3.1.5 AI RESEARCH 14
3.1.6 RECENT AI RESEARCH AND IMPLEMENTATION 15
3.1.7 LOOKING FOR AI 15
3.1.8 FUNDAMENTAL CONCERN OF AI 16
3.1.9 AI TOOLS 18
4.0 BASIC ELEMENTS OF AI 20
4.1 STRONG ARTIFICIAL INTELLIGENCE 20
4.2 WEAK ARTIFICIAL INTELLIGENCE 20
4.3 AI AND NATURE 20
4.4 KNOWLEDGE REPRESENTATION 21
4.5 AI LANGUAGES AND TOOLS 22
4.6 PRINCIPAL AI APPLICATION AREAS 22
4.7 COMPARISON BETWEEN AI AND GENERAL PROGRAMMER 23
4.8 THREE LAWS OF ROBOTICS 23
4.9 TURING TEST 24
5.0 AI FUTURE PREDICTION 26
5.1 AI DOMINANT GLOBAL MARKET AND DOMINANT GLOBAL PLAYERS 27
5.2 WHERE IS AI? 27
5.3 AI BASED APPLICATIONS 28
5.4 AI ULTIMATE FUTURE AND PREDICTION 29
5.5 AI MARKET 30
5.6 THE BUSINESS CASE FOR ARTIFICIAL INTELLIGENCE 30
6.0 BIG DATA CASE FOR ARTIFICIAL INTELLIGENCE 31
6.1 WHAT IS BIG DATA? 31
6.2 BIG DATA MEANS FIVE `V’ 31
6.3 THE APPLICATION OF ARTIFICIAL INTELLIGENCE 32
6.4 BIG DATA FORECASTS AND MARKET ESTIMATES 35
6.5 BIG DATA MARKET HIGHLIGHTS AND TRENDS 38
7.0 ARTIFICIAL INTELLIGENCE IN MOBILE DEVICES 44
7.1 AI ON YOUR SMARTPHONE IS HELPFUL 44
7.2 AI MOBILITY 45
7.3 MOBILE DATA AS THE ENGINE FOR AI 46
8.0 VENDOR ANALYSIS 48
8.1 IBM 48
8.2 OPTIMIZELY 48
8.3 AMAZON 48
8.4 NETFLIX 48
8.5 APPLE 49
9.0 APPS & FAQ 50
10.0 MOBILITY, SEARCH & BIG DATA 51
11.0 CONCLUSIONS AND RECOMMENDATIONS 55

List of Graphs
Figure 1: General Areas of Artificial Intelligence 10
Figure 2: Artificial Intelligence Breakthroughs 1950-2013 12
Figure 3: Artificial Intelligence Timeline1941-1991 13
Figure 4: The Basic Picture Underlying Russell’s Account of Intelligence/Rationality 16
Figure 5: Fundamental parts of AI 17
Figure 6: Neural Network 18
Figure 7: Elements of AI 21
Figure 8: AI Tools 22
Figure 9: Robot Laws 24
Figure 10: Turing Test system of AI Justify 24
Figure 11: AI Vendor Revenue 2012 26
Figure 12: AI Based Global Dominant Players 27
Figure 13: Where is AI? 27
Figure 14: AI Application Areas 29
Figure 15: AI Implementations Region 29
Figure 16: Big Data Market Overview 2013-2020 35
Figure 17: Big Data Revenue by Segments 2012-2013 39
Figure 18: Big Data Revenue by Type 2012-2013 40
Figure 19: Hadoop Based Company Revenues 2012-2013 41
Figure 20: Big Data Drivers 41
Figure 21: Big Data and Sample Application 42
Figure 22: Big Data and IT Spending 42
Figure 23: AI and Operating System Market Size 45
Figure 24: Mobile and AI sector Investment 2010-2013 46
Figure 25: Mobile Based AI Field Revenue CAGR 25% 46
Figure 26: Recent stored Data-Petabytes 47
Figure 27: AI Global Market Trends 2012-2220 51
Figure 28: BI market will Grow Smoothly 51
Figure 29: Big Data Search India-USA-Singapore-AUS-S. Korea 52
Figure 30: Big Data, AI, BI Search Comparison 52
Figure 31: AI Based New Sectors and Opportunity Smart Device Market Share% 53
Figure 32: AI Based JOB sector-Java, C+HTML,PHP 53
Figure 33: Top Auto Data Capture Suppliers Revenues 2013 54

List of Tables
Table 1: Significant AI Researcher 14
Table 2: Four Possible Goals for AI 16
Table 3: AI’s Domain of Study 17
Table 4: Comparison of AI with Conventional Programming. 23
Table 5: AI Implemented Fields 28
Table 6: 2012 Worldwide Big Data Revenue $ 35
Table 7: Most Transformational Technologies 2013-2020 35
Table 8: Sector Sales Analysis 36
Table 9: Top Business Priorities in AI 38