Global Commercial Artificial Intelligence Market Analysis & Forecasts 2017-2025: Focus on Technologies, Competitors and Opportunities - Research and Markets

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Apr 25, 2017, 18:30 ET

DUBLIN, Apr. 25, 2017 /PRNewswire/ --

Research and Markets has announced the addition of the "Commercial Artificial Intelligence: Technologies, Global Markets, Competitors And Opportunities: 2017-2025 Analysis And Forecasts" report to their offering.

The concepts of Artificial Intelligence (AI) are 60 years old, but only recently have the vast datasets, raw computation and storage power aligned to harness the utility of these concepts. Technological innovation has finally reached a level that the practical implementations of training complex computer neural networks to mimic the human brain are finally starting to become practical.

AI is a multi-year megatrend that will have far-reaching implications on how money will move to companies that invest in and adopt the technology. AI is already used in a wide range of applications including web search systems, marketing recommendation functions, financial trading programs and autonomous vehicles. Future applications for AI are limitless.

While AI has captured public attention in both positive (Google's DeepMind beat the 18-time world Go champion) and negative (50% of the workforce will be unemployed by robots with AI) ways, little is known about the commercial market for AI.

Key Topics Covered:

1. Introduction

2. Artificial Intelligence Technology

Definition
Artificial Intelligence Elements
Inflection Point
Emerging AI Capabilities
Machine Learning Progress
AI Is a Core Technology for IoT
IoT Development Progress
IoT Market
AI History
First AI Era
Second AI Era
Third AI Era
Four Levels of AI
AI Technologies
Machine Learning vs. Deep Learning
AI Already in Wide Use
Voice Recognition and Response
Information Gathering and Searching
Automating Communication
Problem-Solving
Personal Assistants
Content Creation and Synthesis
Cognitive Science Growing Significantly
Cognitive Computing
Exponential Growth in Performance
Major Drivers of AI Adoption
Explosive Growth of Big Data
Cloud-Based AI
Computer Vision
AI Concerns
Privacy Issues
Unemployment and AI
Singularity Issues
Asimov's Laws of Robotics
Disruptions and Benefits
Limits of AI
Computation and Intelligence
Barriers Between Deep Minds and Real Minds
AI Cannot Replace the Human Mind
U.S. Leads in AI
Research vs. Products
Academia and Industry
Basic Research
AI Academics Supply
Diversity of AI Field

3. Artifical Intelligence Market

Megatrend
AI Platform Providers
AI Embracers
AI Enablers
AI Market
AI Market by Segment
AI Hardware Market by Segment
AI Market by Technology
AI Market by End-Market
AI Market by Geography
Competitive Environment

4. AI Applications

Healthcare
Transportation
Financial
Wealth Management
Trading
Financial Operations
Research Assistants
Voice Assistants
Administrative
Manufacturing
Advertising
Legal
Drones
AI Enhanced Products and Services

5. Artificial Intelligence And Autonomous Vehicles

Implementing AI in Vehicles
Tesla Model S
NHTSA Milestone Reached
Automakers Lack Software and AI Expertise
Detroit vs. Silicon Valley
Ford and Mobility Services
Value and Benefits of Autonomous Vehicles
Barriers to Adoption
Autonomous Vehicles Concept
Timeline of AV launches
Autonomous Vehicles Development Costs
Levels of Autonomous Driving
Economic Impacts
Self-Driving Car Technology
AI Replacing Humans as the Driver
Learning and Adjustment
Vehicle - Network - Cloud Cycle
Data Sharing a Major Issue
Solutions Market by Technology
AV Production Volume
Beyond AV Cars
Trains
Robo-Trucks
Internet of Cars
Connected Car Value Chain
Vehicle-Analytics Skyrocketing
IoC Data Generation
Computation
Compute Opportunity
Nvidia and AVs
Accelerated Connectivity
AI Personal Assistants and AVs
AI, AV and Lost Jobs

6. AI Technology Enablers

AI Requires Massive Parallel Computation
Processor Chips Fueling the AI Revolution
Parallel Computing Key Enabler
GPUs
Alternative Solutions and Issues
Intel Transition to Parallel Computing
Intel's AI Strategy Centered Around Nervana
FPGAs vs. GPUs
Deep Learning Chip Startups
Accelerator Chip Market
Cloud Market Growing Rapidly
High-Performance Computing Drivers
High-Performance Computing Market
HPC Accelerator Market Shares
HPC Industry Growth Rates
Accelerated Supercomputers
Semiconductor Equipment to Benefit from AI
Networking Enables AI
High-Performance Cloud-Connected Networks
Networking Pushing AI to the Edge
Networking Specific Artificial Intelligence
SD-WAN and Networking Specific AI
SD-WAN Market, Vendors and Timeline

7. Company Profiles

AIBrain
Accenture plc
Adobe Systems Incorporated
Agralogics
Agrible
Agrilyst
Alphabet Inc.
Amazon.com
Anki
Apple Inc.
Arria NLG plc
Automated Insights
Baidu Inc
Banjo
CloudMinds
Cyberlytic
Darktrace
DeePhi
Deep Instinct
Drive.ai
Entefy
Facebook Inc.
FireEye, Inc.
Fortscale
Gamaya
Google
Hitachi, Ltd
HubSpot, Inc.
International Business Machines Corporation
Jask
Jibo
Microsoft Corporation
NEC Corporation
Narrative Science
Nervana Systems
Next IT Corporation
Orbital Insight
Palantir Technologies, Inc.
Palo Alto Networks, Inc.
PatternEx
Prisma
Qualcomm Incorporated
ReSnap
S4
SoftBank Group Corp
Status Today
Strider
Twitter
Vectra Networks
ViSenze
Wave Computing
X.ai
Yseop
Zendesk, Inc.
harvest.ai
iCarbonX
salesforce.com, inc.

For more information about this report visit http://www.researchandmarkets.com/research/gcz38k/commercial

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Laura Wood, Senior Manager
[email protected]

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