Table of Content

1.0 Executive Summary
2.0 Introduction
2.1 Research Objectives
2.2 Key Findings
2.3 Target Audience
2.4 Companies in the Report
3.0 Overview
3.1 Artificial Intelligence and Machine Learning
3.2 AI Types
3.3 AI & ML Language
3.4 Artificial Intelligence Technology
3.4.1 Machine Learning
3.4.2 Natural Language Generation and Processing
3.4.3 Image Processing
3.4.4 Voice Recognition
3.4.5 Artificial Neural Network
3.4.6 Deep Learning
3.4.7 Others
3.5 AI and ML Technology Goal
3.5.1 Reasoning
3.5.2 Knowledge Representation
3.5.3 Planning
3.5.4 Learning
3.5.5 Communication
3.5.6 Machine Perception
3.5.7 Motion Manipulation
3.5.8 Social Intelligence
3.5.9 Creativity
3.5.10 Artificial General Intelligence
3.5.11 Computer Vision
3.5.12 Robotics
3.6 AI Approaches
3.6.1 Cybernetics and Brian Simulation
3.6.2 Symbolic
3.6.3 Sub-Symbolic
3.6.4 Statistical
3.6.5 Integration
3.7 AI Tools
3.7.1 Search and Optimization
3.7.2 Logic
3.7.3 Probability
3.7.4 Classifier and Statistics
3.7.5 Neural Network
3.7.6 Deep Feedforward Neural Network
3.7.7 Deep Recurrent Neural Network
3.7.8 Control Theory
3.7.9 Language
3.8 AI Outcome
3.8.1 Testing Tools
3.8.2 Virtual Assistant
3.8.3 AI Optimized IoT Hardware
3.8.4 Decision Management System
3.8.5 Biometrics Solution
3.8.6 Robotic Process Automation
3.9 Neural Network and Artificial Intelligence
3.10 Deep Learning and Artificial Intelligence
3.11 Predictive Analytics and Artificial Intelligence
3.12 Internet of Things and Big Data Analytics
3.13 IoT and Artificial Intelligence
3.14 Consumer IoT, Big Data Analytics, and Artificial Intelligence
3.15 Industrial IoT, Big Data Analytics, and Machine Learning
3.16 Artificial intelligence and cognitive computing
3.17 Transhumanism or H+ and Artificial Intelligence
3.18 Rise of Analysis of Things (AoT)
3.19 Supervised vs. Unsupervised Learning
3.20 AI as New form of UI
4.0 AI Technology in Big Data and IoT
4.1 Machine Learning Everywhere
4.1.1 Machine Learning as Open Source Technology
4.1.2 Machine Learning and Intelligent Discovery in IoT
4.1.3 Supervised and Unsupervised Machine Learning
4.1.4 Machine Learning as Big Data Analysis Technique
4.1.5 Machine Learning AI Robots
4.1.6 Machine Learning and Data Democratization
4.2 Machine Learning APIs and Big Data Development
4.2.1 Phases of Machine Learning APIs
4.2.2 Machine Learning API Challenges
4.2.3 Top Machine Learning APIs
4.2.3.1 IBM Watson API
4.2.3.2 Microsoft Azure Machine Learning API
4.2.3.3 Google Prediction API
4.2.3.4 Amazon Machine Learning API
4.2.3.5 BigML
4.2.3.6 AT&T Speech API
4.2.3.7 Wit.ai
4.2.3.8 AlchemyAPI
4.2.3.9 Diffbot
4.2.3.10 PredictionIO
4.2.4 Machine Learning API in General Application Environment
4.3 Enterprise Benefits of Machine Learning
4.4 Machine Learning in IoT Data
4.5 Ultra Scale Analytics and Artificial Intelligence
4.6 Rise of Algorithmic Business
4.7 Cloud Hosted Machine Intelligence
4.8 Contradiction of Machine Learning
4.9 Value Chain Analysis
4.9.1 AI & Machine Learning Companies
4.9.2 IoT Companies
4.9.3 Big Data Analytics Providers
4.9.4 Connectivity Solution and Infrastructure Providers
4.9.5 Hardware and Equipment Manufacturers
4.9.6 Developers and Data Scientists
4.9.7 End Users
5.0 AI Technology Application and Use Case
5.1 Intelligence Performance Monitoring
5.2 Infrastructure Monitoring
5.3 Generating Accurate Models
5.4 Recommendation Engine
5.5 Blockchain and Crypto Technologies
5.6 Enterprise Application
5.7 Contextual Awareness
5.8 Customer Feedback
5.9 Self-Driving Car
5.10 Fraud Detection System
5.11 Personalized Medicine and Healthcare Service
5.12 Predictive Data Modelling
5.13 Smart Machines
5.14 Cybersecurity Solutions
5.15 Autonomous Agents
5.16 Intelligent Assistant
5.17 Intelligent Decision Support System
5.18 Risk Management
5.19 Data Mining and Management
5.20 Intelligent Robotics
5.21 Financial Technology
5.22 Machine Intelligence
6.0 AI Technology Impact on Vertical Market
6.1 Enterprise Productivity Gain
6.2 Digital Twinning and Physical Asset Security
6.3 IT Process Efficiency Increase
6.4 AI to Replace Human Form Work
6.5 Enterprise AI Adoption Trend
6.6 Inclusion of AI as IT Requirement
7.0 AI Predictive Analytics in Vertical Industry
7.1 E-Commerce Services
7.2 Banking and Finance Services
7.3 Manufacturing Services
7.4 Real Estate Services
7.5 Government and Public Services
8.0 Company Analysis
8.1 Google Inc.
8.2 Twitter Inc.
8.3 Microsoft Corporation
8.4 IBM Corporation
8.5 Apple Inc.
8.6 Facebook Inc.
8.7 Amazon.com Inc.
8.8 Skype
8.9 Salesforce.com
8.10 Intel Corporation
8.11 Yahoo Inc.
8.12 AOL Inc.
8.13 NVIDIA Corporation
8.14 x.ai
8.15 Tesla Inc.
8.16 Baidu Inc.
8.17 H2O.ai
8.18 SparkCognition Inc.
8.19 OpenAI
8.20 Inbenta
8.21 CISCO Systems Inc.
8.22 Infineon Technologies AG
8.23 McAfee
8.24 Happiest Minds Technologies
8.25 Tachyus
8.26 Sentrian
8.27 MAANA
8.28 Veros Systems Inc.
8.29 NEURA
8.30 Augury Systems Ltd.
8.31 glassbeam
8.32 Comfy
8.33 mnubo
8.34 C-B4
8.35 PointGrab Ltd.
8.36 Tellmeplus
8.37 moov
8.38 Sentenai Inc.
8.39 imagimob
8.40 FocusMotion
8.41 MoBagel
9.0 AI in Big Data and IoT Market Analysis and Forecasts 2020 – 2025
9.1 AI in Big Data and IoT Market 2020 – 2025
9.2 AI in Big Data and IoT Market by Solution Components 2020 – 2025
9.2.1 Embedded AI Solutions
9.2.1.1 IoT Device
9.2.1.1.1 Wearable Devices
9.2.1.1.2 Medical and Healthcare Devices
9.2.1.1.3 Industrial Machines
9.2.1.1.4 Networking Device
9.2.1.1.5 Smart Grid Device
9.2.1.1.6 Robots and Drone
9.2.1.1.6.1 Service Robots
9.2.1.1.7 Smart Appliances
9.2.1.1.8 Security Devices
9.2.1.1.9 Entertainment Devices
9.2.1.1.10 In-Vehicle Device
9.2.1.1.11 Military Device
9.2.1.1.12 Energy Management Device
9.2.1.1.13 Agriculture Specific Device
9.2.1.2 IoT Things/Objects
9.2.1.3 Software
9.2.1.3.1 Digital Personal Assistants
9.2.1.4 IoT Platform
9.2.2 Storage and Analytics
9.2.2.1 Storage and Analytics Tools
9.2.3 Services
9.2.3.1 Professional Services
9.3 AI in Big Data and IoT Market by Management Functions
9.4 AI in Big Data and IoT Market by Technology
9.4.1 Machine Learning
9.5 AI in Big Data and IoT Market by Industry Vertical
9.5.1 Medical and Healthcare
9.5.2 Manufacturing
9.5.3 Consumer Electronics
9.5.4 Automotive and Transportation
9.5.5 Retail and Apparel
9.5.6 Marketing and Advertising
9.5.7 FinTech
9.5.8 Building and Construction
9.5.9 Agriculture
9.5.10 Security and Surveillance
9.5.11 Government, Military, and Aerospace