Artificial Intelligence in Big Data Analytics and IoT 2017-2022: Market for Data Capture, Information and Decision Support Services

Dublin, June 26, 2017 -- Research and Markets has announced the addition of the "Artificial Intelligence in Big Data Analytics and IoT: Market for Data Capture, Information and Decision Support Services 2017 - 2022" report to their offering.

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.

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.

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

Key Topics Covered:

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
2.5 AI and ML Technology Goal
2.6 AI Approaches
2.7 AI Tools
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
3.2 Machine Learning APIs and Big Data Development
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
7.4 AI Predictive Analytics Market 2017 - 2022
7.5 AI Professional Service Market in Big Data and IoT 2017 - 2022

8 AI Embedded Connected IoT Device and Things 2017 - 2022
8.1 AI Embedded Connected IoT Device 2017 - 2022
8.2 AI Embedded Connected IoT Things and Objects 2017 - 2022

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

For more information about this report visit https://www.researchandmarkets.com/research/dzb5lq/artificial

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         Related Topics: Data Storage and Management , Internet of Things and M2M, Big Data, Data Analytics , Artificial Intelligence