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Artificial Intelligence of Things Market to Witness Stunning Growth | Tachyus, SAS, IBM


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iCrowdNewswire   Nov 20, 2020  4:11 AM ET

Latest study released by AMA Research on Artificial Intelligence of Things Market research with more than 100 market data tables and figures spread through Pages are easy to understand TOC in “Artificial Intelligence of ThingsMarket research”, so you can get a variety of ways to maximize your profits. Artificial Intelligence of Things Market predicted until 2025 *. Some of the company that are profiled in this study are Tachyus (United States), SAS (United States), IBM (United States), HPE (United States), SAP (Germany), Microsoft (United States), Sentrain, Inc. (United States), Maana (United States), Neura (United States), Augury Systems (United States) and Glassbeam (United States).

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The Artificial Intelligence of Thing is designed with the combination of the adoption of Artificial Intelligence (AI) technologies within the Internet of Things (IoT) infrastructure to expand IoT operations, enhance human-machine interactions, and enhance data management, analytics, and decision-making capabilities. The AI technology, machine learning, provides IoT networks/systems with the ability to learn from data, transforming IoT enabled assets into machine learning. The artificial intelligence also helps in transforming IoT data into useful information, facilitating improved decision making. The Artificial Intelligence of Things has transformed both technologies by adding value to IoT through advanced machine learning and decision making. Along with that IoT is adding value to AI through connectivity and data exchange.

Market Drivers

Market Trend

Restraints

Opportunities

Challenges

Competitive Analysis:
Leading companies are focusing on innovation in production technology to improve efficiency and shelf life to overcome COVID19 Outbreak Impact. The best long-term growth opportunities in this sector can be captured by ensuring financial flexibility to invest in continuous process improvement and optimal strategies. Company profile sections such as Tachyus (United States), SAS (United States), IBM (United States), HPE (United States), SAP (Germany), Microsoft (United States), Sentrain, Inc. (United States), Maana (United States), Neura (United States), Augury Systems (United States) and Glassbeam (United States). include legal names, websites, headquarters, market locations, historical background and market information (including market cap / sales and contact information) And other basic information. Each player / manufacturer revenue figure, growth rate, and gross margin are provided in an easy-to-understand table format over the past five years and are provided as separate sections for recent developments such as mergers, acquisitions, or launch of new products / services.

Research objectives:

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The titled segments and Market Data BreakDownare illuminated below:
Services (Robot-Based Industrial Inspection Services, Natural Language Processing, Smart Home Monitoring Systems, Telematics, IoT Financial Services, Cloud & It Services, Others), End Users (Enterprise, Industrial, Manufacturing Sector, BFSI, Automobile, Public and Government, Others), Technology (Big Data, Cognitive Computing, Deep Learning, Machine Learning, Anomaly Monitoring, Predictive Maintenance, Vehicle Telemetry, Others), Devices (Consumer Connected Devices {Smart TV, Smart Phone, Smart Watches, and Others}, Industrial {Smart Grid, Smart Cities, Smart Sensors, and Others}, Enterprise Connected Devices {Commercial Security Systems, Surveillance Camera, And Others}, Others), Offerings (Software, Services) 

 Research Parameter/ Research Methodology
Primary Research:
Key sources are industry professionals in the Artificial Intelligence of Things industry, including management organizations, processing organizations, and analytics service providers that manage the value chain of industry organizations. As survey are restricted due to lockdown worldwide, out team of Analyst are collecting and certifying qualitative and quantitative information through extensive primary research process via LinkedIn, Email communication, Survey Monkey and Industry forum to acquire relevant information  from industry experts such as CEOs, vice presidents, directors, technology and innovation experts, founders and key executives from several of the industry’s leading Artificial Intelligence of Thingscompanies and organizations.

Secondary Research:
Secondary research studies critical information about the industrial value chain, core pool of people, and applications. We also helped market segmentation and key information with the help of Annual reports, press releases, analyst & conference call transcripts.

In this study, the years considered to estimate the market size of Artificial Intelligence of Thingsare as follows:
History Year: 2014-2019
Base Year: 2019
Estimated Year: 2020
Forecast Year 2020 to 2025

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Table of Content: Covid-19 Impact On Artificial Intelligence of Things Market:

  1. Study Scope

1.1      Artificial Intelligence of Things Market Competition by Manufacturers (Market Share, Y-o-Y Growth, Market Revenue, Rank)

1.2      Market Concentration

1.3      Comparative Market Share Analysis (Leaders and Emerging Players) [2018-2019]

1.2 Artificial Intelligence of Things Market Characteristics   

1.3 Artificial Intelligence of Things Market Scenario by Region

1.4      Artificial Intelligence of Things Market Segmentation

1.4.1   Artificial Intelligence of Things Historic Market Analysis by Type

1.4.2   Artificial Intelligence of Things Historic Market Analysis by Application

1.4.3   Artificial Intelligence of Things Historic Market Analysis By ………….

       1.4.4.     Artificial Intelligence of Things Historic Market Analysis by ………….

                      ——

  1. Market Company Profiles

2.1 Overview

2.2 Production & Services (2018-2025)

2.3 Financial Performance (2018-2025)

2.4 Strategy

  1. Future & Forecast Data
  2. Market Opportunities, Challenges, Risks and Influences Factors Analysis (2019-2025)
  3. Artificial Intelligence of Things Manufacturing Cost Analysis
  4. Artificial Intelligence of Things Value Chain and Sales Channels Analysis
  5. Artificial Intelligence of Things Marketing Channel, Distributors and Customers; Post COVID Analysis…
  6. Artificial Intelligence of Things Value Chain and Sales Channels Analysis (2018-2025)
  7. Artificial Intelligence of Things Research Finding and Conclusion
  8. Artificial Intelligence of Things Methodology and Data Source

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