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Artificial Intelligence in Big Data Analytics and IoT: Market for Data Capture, Information and Decision Support Services 2018-2023 - ResearchAndMarkets.com
[September 21, 2018]

Artificial Intelligence in Big Data Analytics and IoT: Market for Data Capture, Information and Decision Support Services 2018-2023 - ResearchAndMarkets.com


The "Artificial Intelligence in Big Data Analytics and IoT: Market for Data Capture, Information and Decision Support Services 2018 - 2023" report has been added to ResearchAndMarkets.com's offering.

This report evaluates various AI technologies and their use relative to analytics solutions within the rapidly growing enterprise and industrial data arena. The report assesses emerging business models, leading companies, and solutions. The report also analyzes how different forms of AI may be best used for problem solving. The report also evaluates the market for AI in IoT networks and systems. The report provides forecasting for unit growth and revenue for both analytics and IoT from 2018 - 2023.

The Internet of Things (IoT) encompasses consumer, enterprise, and industrial market segments. Each of these markets has very unique needs in terms of infrastructure, devices, systems, and processes. One thing they all have in common is that they each produce massive amounts of data, most of which is of the unstructured variety, requiring Big Data technologies for management. Advanced analytics provide the ability to make raw data meaningful and useful as information for decision-making purposes.

Artificial Intelligence (AI) further enhances the ability for Big Data Analytics and IoT platforms to provide value to each of these market segments. The use of AI for decision making in IoT and data analytics will be crucial for efficient and ffective decision making, especially in the area of streaming data and real-time analytics associated with edge computing networks. Real-time data will be a key value proposition for all use cases, segments, and solutions. The ability to capture streaming data, determine valuable attributes, and make decisions in real-time will add an entirely new dimension to service logic. In many cases, the data itself, and actionable information will be the service.



Report Benefits:

  • Forecasts for AI in predictive analytics 2018 to 2023
  • 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 (News - Alert):


  • 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

Key Topics Covered:

1 Introduction

2 Overview

3 AI Technology in Big Data and IoT

4 AI Technology Application and Use Case

5 AI Technology Impact on Vertical Market

6 AI Predictive Analytics in Vertical Industry

7 AI Solution in Big Data and IoT Market Forecast 2018 - 2023

8 AI Embedded Connected IoT Device and Things 2018 - 2023

9 Company Analysis

10 Conclusions and Recommendations

11 Appendix

Companies Mentioned

  • Amazon
  • AOL (News - Alert)
  • Apple
  • Augury Systems
  • Baidu
  • C-B4
  • Comfy
  • Facebook
  • FocusMotion
  • Glassbeam
  • Google (News - Alert)
  • IBM
  • Imagimob
  • Inbenta
  • Intel
  • Maana
  • Microsoft
  • mnubo
  • MoBagel
  • Moov
  • Neura
  • NVIDIA (News - Alert)
  • OpenAI
  • PointGrab
  • Salesforce
  • Sentenai
  • Sentrian
  • Skype (News - Alert)
  • SparkCognition
  • Tachyus
  • Tellmeplus
  • Tesla
  • Twitter
  • Veros Systems
  • Yahoo
For more information about this report visit https://www.researchandmarkets.com/research/xt2clm/artificial?w=4


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