Artificial Intelligence in Big Data Analytics and IoT: Market

  • KMI-168282
  • Sep 2017
  • 123 pages
  • Telecom And IT
Artificial Intelligence in Big Data Analytics and IoT: Market for Data Capture, Information and Decision Support Services 2017 - 2022

Every large corporation collects and maintains a huge amount of human-oriented data associated with its customers including their preferences, purchases, habits, and other personal information. As the Internet of Things (IoT) progresses, there will an increasingly large amount of unstructured machine data. The growing amount of human-oriented and machine generated data will drive substantial opportunities for AI support of unstructured data analytics solutions.

This research evaluates various AI technologies and their use relative to analytics solutions within the rapidly growing enterprise data arena. The report assesses emerging business models, leading companies, and solutions. The report also provides forecasting for unit growth and revenue from 2017 – 2022 associated with AI supported predictive analytics solutions. All purchases of KMI 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.

Report Benefits:

• Forecasts for AI in predictive analytics 2017 to 2022
• Identify highest potential AI technology area opportunities
• Understand AI strategies and initiatives of leading companies
• Learn the optimal use of AI for smart predictive analytics in IoT data
• Understand the AI in Big Data, Analytics, and IoT ecosystem and value chain
• Identify opportunities for AI in Analytics for IoT and other unstructured data

Target Audience:

• Internet of Things companies
• 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
1 Introduction
1.1 Executive Summary
1.2 Research Objectives
1.3 Key Findings
1.4 Target Audience
1.5 Companies in the Report
2 Overview
2.1 Artificial Intelligence and Machine Learning
2.2 AI Types
2.3 AI and ML Language
2.4 Artificial Intelligence Technology
2.4.1 Machine Learning
2.4.2 Natural Language Generation and Processing
2.4.3 Image Processing
2.4.4 Voice Recognition
2.4.5 Artificial Neural Network
2.4.6 Deep Learning
2.4.7 Others
2.5 AI and ML Technology Goal
2.5.1 Reasoning
2.5.2 Knowledge Representation
2.5.3 Planning
2.5.4 Learning
2.5.5 Communication
2.5.6 Machine Perception
2.5.7 Motion Manipulation
2.5.8 Social Intelligence
2.5.9 Creativity
2.5.10 Artificial General Intelligence
2.5.11 Computer Vision
2.5.12 Robotics
2.6 AI Approaches
2.6.1 Cybernetics and Brian Simulation
2.6.2 Symbolic
2.6.3 Sub-Symbolic
2.6.4 Statistical
2.6.5 Integration
2.7 AI Tools
2.7.1 Search and Optimization
2.7.2 Logic
2.7.3 Probability
2.7.4 Classifier and Statistics
2.7.5 Neural Network
2.7.6 Deep Feedforward Neural Network
2.7.7 Deep Recurrent Neural Network
2.7.8 Control Theory
2.7.9 Language
2.8 AI Outcome
2.8.1 Testing Tools
2.8.2 Virtual Assistant
2.8.3 AI Optimized IoT Hardware
2.8.4 Decision Management System
2.8.5 Biometrics Solution
2.8.6 Robotic Process Automation
2.9 Neural Network and Artificial Intelligence
2.10 Deep Learning and Artificial Intelligence
2.11 Predictive Analytics and Artificial Intelligence
2.12 Internet of Things and Big Data Analytics
2.13 IoT and Artificial Intelligence
2.14 Consumer IoT, Big Data Analytics, and Artificial Intelligence
2.15 Industrial IoT, Big Data Analytics, and Machine Learning
2.16 Artificial intelligence and cognitive computing
2.17 Transhumanism or H+ and Artificial Intelligence
2.18 Rise of the Analysis of Things
2.19 Supervised vs. Unsupervised Learning
2.20 AI as New form of UI
3 AI Technology in Big Data and IoT
3.1 Machine Learning Everywhere
3.1.1 Machine Learning as Open Source Technology
3.1.2 Machine Learning and Intelligent Discovery in IoT
3.1.3 Supervised and Unsupervised Machine Learning
3.1.4 Machine Learning as Big Data Analysis Technique
3.1.5 Machine Learning AI Robots
3.1.6 Machine Learning and Data Democratization
3.2 Machine Learning APIs and Big Data Development
3.2.1 Phases of Machine Learning APIs
3.2.2 Machine Learning API Challenges
3.2.3 Top Machine Learning APIs
3.2.3.1 IBM Watson API
3.2.3.2 Microsoft Azure Machine Learning API
3.2.3.3 Google Prediction API
3.2.3.4 Amazon Machine Learning API
3.2.3.5 BigML
3.2.3.6 AT&T Speech API
3.2.3.7 Wit.ai
3.2.3.8 AlchemyAPI
3.2.3.9 Diffbot
3.2.3.10 PredictionIO
3.2.4 Machine Learning API in General Application Environment
3.3 Enterprise Benefits of Machine Learning
3.4 Machine Learning in IoT Data
3.5 Ultra Scale Analytics and Artificial Intelligence
3.6 Rise of Algorithmic Business
3.7 Cloud Hosted Machine Intelligence
3.8 Contradiction of Machine Learning
3.9 Value Chain Analysis
3.9.1 AI and Machine Learning Companies
3.9.2 IoT Companies
3.9.3 Big Data Analytics Providers
3.9.4 Connectivity Solution and Infrastructure Providers
3.9.5 Hardware and Equipment Manufacturers
3.9.6 Developers and Data Scientists
3.9.7 End Users
4 AI Technology Application and Use Case
4.1 Intelligence Performance Monitoring
4.2 Infrastructure Monitoring
4.3 Generating Accurate Models
4.4 Recommendation Engine
4.5 Blockchain and Crypto Technologies
4.6 Enterprise Application
4.7 Contextual Awareness
4.8 Customer Feedback
4.9 Self-Driving Car
4.10 Fraud Detection System
4.11 Personalized Medicine and Healthcare Service
4.12 Predictive Data Modelling
4.13 Smart Machines
4.14 Cybersecurity Solutions
4.15 Autonomous Agents
4.16 Intelligent Assistant
4.17 Intelligent Decision Support System
4.18 Risk Management
4.19 Data Mining and Management
4.20 Intelligent Robotics
4.21 Financial Technology
4.22 Machine Intelligence
5 AI Technology Impact on Vertical Market
5.1 Enterprise Productivity Gain
5.2 Digital Twinning and Physical Asset Security
5.3 IT Process Efficiency Increase
5.4 AI to Replace Human Form Work
5.5 Enterprise AI Adoption Trends
5.6 Inclusion of AI as IT Requirement
6 AI Predictive Analytics in Vertical Industry
6.1.1 E-Commerce Services
6.1.2 Banking and Finance Services
6.1.3 Manufacturing Services
6.1.4 Real Estate Services
6.1.5 Government and Public Services
7 AI Solution in Big Data and IoT Market Forecast 2017 - 2022
7.1 Aggregated AI Solution Market 2017 - 2022
7.2 AI Solution Market by Segment 2017 – 2022
7.3 AI Embedded Solution Market 2017 – 2022
7.3.1 AI Embedded Solution by Segment
7.3.2 AI Embedded Solution Market for IoT Device 2017 – 2022
7.3.2.1 IoT Device Market by Type
7.3.2.2 IoT Device Market by AI Technology
7.3.2.3 IoT Device Market by Industry Vertical
7.3.2.4 IoT Device Market by Region
7.3.2.4.1 APAC IoT Device Market by Country
7.3.2.4.2 Europe IoT Device Market by Country
7.3.2.4.3 North America IoT Device Market by Country
7.3.2.4.4 Middle East and Africa IoT Device Market by Country
7.3.2.4.5 Latin America IoT Device Market by Country
7.3.3 AI Embedded Solution Market for IoT Platform 2017 – 2022
7.3.3.1 IoT Platform Market by Type
7.3.3.2 IoT Platform Market by AI Technology
7.3.3.3 IoT Platform Market by Industry Vertical
7.3.3.4 IoT Platform Market by Region
7.3.3.4.1 APAC IoT Platform Market by Country
7.3.3.4.2 Europe IoT Platform Market by Country
7.3.3.4.3 North America IoT Platform Market by Country
7.3.3.4.4 Middle East and Africa IoT Platform Market by Country
7.3.3.4.5 Latin America IoT Platform Market by Country
7.3.4 AI Embedded Solution Market for Digital Personal Assistant 2017 – 2022
7.3.4.1 Digital Personal Assistant Market by Type
7.3.4.2 Digital Personal Assistant Market by AI Technology
7.3.4.3 Digital Personal Assistant Market by Sector
7.3.4.4 Digital Personal Assistant Market by AI System
7.3.4.5 Digital Personal Assistant Market by Region
7.3.4.5.1 APAC Digital Personal Assistant Market by Country
7.3.4.5.2 Europe Digital Personal Assistant Market by Country
7.3.4.5.3 North America Digital Personal Assistant Market by Country
7.3.4.5.4 ROW Digital Personal Assistant Market by Country
7.3.5 AI Embedded Solution Market for Data Capture and Integration 2017 – 2022
7.3.5.1 Data Capture and Integration Market by Big Data Tools
7.3.5.2 Data Capture and Integration Market by Industry Vertical
7.3.5.3 Data Capture and Integration Market by Region
7.3.5.3.1 North America Data Capture and Integration Market by Country
7.3.5.3.2 APAC Data Capture and Integration Market by Country
7.3.5.3.3 Europe Data Capture and Integration Market by Country
7.3.5.3.4 Middle East and Africa Data Capture and Integration Market by Country
7.3.5.3.5 Latin America Data Capture and Integration Market by Country
7.4 AI Predictive Analytics Market 2017 – 2022
7.4.1 AI Predictive Analytics Market by AI Technology
7.4.2 AI Predictive Analytics Market by Business Application
7.4.3 AI Predictive Analytics Market by Technology Application
7.4.4 AI Predictive Analytics Market by Business Goal
7.4.5 AI Predictive Analytics Market by Industry Vertical
7.4.6 AI Predictive Analytics Market by Region
7.4.6.1 North America AI Predictive Analytics Market: AI Technology, Business Application, Technology Application, Business Goal, Industry Vertical, and Country
7.4.6.2 Europe AI Predictive Analytics Market: AI Technology, Business Application, Technology Application, Business Goal, Industry Vertical, and Country
7.4.6.3 APAC AI Predictive Analytics Market: AI Technology, Business Application, Technology Application, Business Goal, Industry Vertical, and Country
7.4.6.4 Middle East and Africa AI Predictive Analytics Market: AI Technology, Business Application, Technology Application, Business Goal, Industry Vertical, and Country
7.4.6.5 Latin America AI Predictive Analytics Market: AI Technology, Business Application, Technology Application, Business Goal, Industry Vertical, and Country
7.5 AI Professional Service Market in Big Data and IoT 2017 – 2022
7.5.1 AI Professional Service Market by Service Type
7.5.2 AI Professional Service Market by Segment
7.5.3 AI Professional Service Market by Industry Vertical
7.5.4 AI Professional Service Market by Region
7.5.4.1 APAC AI Professional Service Market by Country
7.5.4.2 Europe AI Professional Service Market by Country
7.5.4.3 North America AI Professional Service Market by Country
7.5.4.4 Middle East and Africa AI Professional Service Market by Country
7.5.4.5 Latin America AI Professional Service Market by Country
8 AI Embedded Connected IoT Device and Things 2017 – 2022
8.1 AI Embedded Connected IoT Device 2017 – 2022
8.1.1 Aggregated AI Embedded Connected IoT Device
8.1.2 AI Embedded Connected IoT Device by Type
8.1.3 AI Embedded Connected IoT Device by IoT Platform
8.1.4 AI Embedded Connected IoT Device by IoT Sector
8.1.5 AI Embedded Connected IoT Device by AI Technology
8.1.6 AI Embedded Connected IoT Device by Technology Application
8.1.7 AI Embedded Connected IoT Device by Industry Verticals
8.1.8 AI Embedded Connected IoT Device by Region
8.1.8.1 North America Connected IoT Device by Country
8.1.8.2 Europe Connected IoT Device by Country
8.1.8.3 APAC Connected IoT Device by Country
8.1.8.4 Middle East and Africa Connected IoT Device by Country
8.1.8.5 Latin America Connected IoT Device by Country
8.2 AI Embedded Connected IoT Things and Objects 2017 – 2022
8.2.1 Aggregated AI Embedded Connected IoT Things and Objects
8.2.2 AI Embedded Connected IoT Things and Objects by IoT Platform
8.2.3 AI Embedded Connected IoT Things and Objects by IoT Sector
8.2.4 AI Embedded Connected IoT Things and Objects by AI Technology
8.2.5 AI Embedded Connected IoT Things and Objects by Industry Verticals
8.2.6 AI Embedded Connected IoT Things and Objects by Region
8.2.6.1 North America Connected IoT Things and Objects by Country
8.2.6.2 Europe Connected IoT Things and Objects by Country
8.2.6.3 APAC Connected IoT Things and Objects by Country
8.2.6.4 Middle East and Africa Connected IoT Things and Objects by Country
8.2.6.5 Latin America Connected IoT Things and Objects by Country
9 Company Analysis
9.1 Google Inc.
9.2 Twitter Inc.
9.3 Microsoft Corporation
9.4 IBM Corporation
9.5 Apple Inc.
9.6 Facebook Inc.
9.7 Amazon.com Inc.
9.8 Skype
9.9 Salesforce.com
9.10 Intel Corporation
9.11 Yahoo Inc.
9.12 AOL Inc.
9.13 NVIDIA Corporation
9.14 x.ai
9.15 Tesla Inc.
9.16 Baidu Inc.
9.17 H2O.ai
9.18 SparkCognition Inc.
9.19 OpenAI
9.20 Inbenta
9.21 CISCO Systems Inc.
9.22 Infineon Technologies AG
9.23 McAfee
9.24 Happiest Minds Technologies
9.25 Tachyus
9.26 Sentrian
9.27 MAANA
9.28 Veros Systems Inc.
9.29 NEURA
9.30 Augury Systems Ltd.
9.31 glassbeam
9.32 Comfy
9.33 mnubo
9.34 C-B4
9.35 PointGrab Ltd.
9.36 Tellmeplus
9.37 moov
9.38 Sentenai Inc.
9.39 imagimob
9.40 FocusMotion
9.41 MoBagel
10 Conclusions and Recommendations
10.1 AI in the Next Decade
10.2 Recommendation for Data Analytics Providers
10.3 Recommendation for AI and Machine Learning Companies
10.4 Recommendation for IoT Companies and Equipment Manufacturers
10.5 Recommendation for Service Providers
10.6 Recommendations for Enterprise
11 Appendix
11.1 AI Embedded IoT Device Sales Revenue
11.1.1 Sales Revenue by Device Type
11.2 AI Optimized IoT Component Market
11.3 AI Optimized IoT Equipment Market
11.4 AI Optimized IoT Software Market
11.5 AI Optimized IoT Platform Market

   Global Translation Software Market By Type (Rule based, Statistical based, Hybrid), Application (Legal, Medical, Travel & Tourism, Financial & Banking) and Regional Market Size, Status and Forecast to 2025

   Global Oil and Gas Mobility Market By Component (Software, Service), Deployment Model (Cloud-based, On-premise), End User (Large Enterprises, Small and Medium Businesses), and Regional Market Size, Status and Forecast to 2025

   Global Mobile Value Added Services (MVAS) Market By End User (Large Companies, Small and Medium Businesses), Solution (Mobile Advertising, Location Based Services, Mobile Infotainment, Mobile Email & IM, Short Messaging Service (SMS), Multimedia Messaging Service (MMS), Mobile Money), Vertical, and Regional Market Size, Status and Forecast to 2025

   Global Enterprise Mobility Management Market By Device (Tablet, Laptop, Smartphone), Component (Solutions, Services), Operating System Type (iOS and Mac OS, Android, Blackberry, Windows), Organization Size (Large Enterprises, Small and Medium Businesses), Vertical, and Regional Market Size, Status and Forecast to 2025

   Global Mobile Learning Market By End User (Corporate, Academic), Software Solution (Content Development, Portable LMS, Mobile Content Authoring,m-Enablement, Mobile and video based courseware, e-Books, Interactive Assessments), Application (Corporate Learning, In-Class Learning, Online-on-the job training, Simulation-Based Learning), and Regional Market Size, Status and Forecast to 2025

   Global Mobile Middleware Market By End User (Large Enterprises, Small and Medium Business), Component (Software, Services), Deployment Model (Cloud-based, On-premise), Vertical, and Regional Market Size, Status and Forecast to 2025

   Global Telecom Billing Market By Deployment Model (Cloud-based, On-premise), Service (Managed services, Operation and maintenance, Planning and consulting, System integration), Software (Fraud management, Mediation, Partner and interconnect management, Revenue assurance, Billing and charging), and Regional Market Size, Status and Forecast to 2025

   Global Telecom IT Services Market By Organization Size (Large Enterprises, Small and Medium Business), Solution Types (Supply Chain Planning, CRM, Enterprise Mobility, OSS BSS Solutions, Mobile Commerce, Network management), Deployment Type (Cloud-based, On-premise), and Regional Market Size, Status and Forecast to 2025

   Global Rich Communications Services Market By User Type (Consumer, Enterprise User), Service (File transfer, Chat, IP video call, Content sharing, Social presence sharing, VoIP), Deployment Model (Cloud-based, On-premise), and Regional Market Size, Status and Forecast to 2025

   Global Mobile Unified Communications and Collaboration Market By Organization Size (Large Enterprises, Small and Medium Business), Solution (Content and Collaboration, Unified Messaging, Conferencing, Voice Solution), Service (Managed Services, Training and Support, Implementation and Integration, Consulting), Deployment Model (Cloud-based, On-premise), Vertical, and Regional Market Size, Status and Forecast to 2025

Purchase this Market Research Report



Contact Us


Mannan
Mannan Shaikh
Head-Sales
mansing
Mansingh Surve
Manager-Sales
Diksha
Diksha Singh Rathore
Team Lead-Sales
view