Cloud Hosting

DUBLIN, Nov. 10, 2020 /PRNewswire/ -- The "Artificial Intelligence in Big Data Analytics and IoT: Market for Data Capture, Information and Decision Support Services 2020 - 2025" 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 2020 - 2025.

The Internet of Things (IoT) in consumer, enterprise, industrial, and government market segments 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.

Artificial Intelligence (AI) algorithms enhance the ability for big data analytics and IoT platforms to provide value to each of these market segments. The author sees three different types of IoT Data: (1) Raw (untouched and unstructured) Data, (2) Meta (data about data), and (3) Transformed (valued-added data). Artificial Intelligence (AI) will be useful in support of managing each of these data types in terms of identifying, categorizing, and decision making.

AI coupled with advanced big data analytics provides the ability to make raw data meaningful and useful as information for decision-making purposes. The use of AI for decision making in IoT and data analytics will be crucial for efficient and effective 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.

Select Report Findings:

Report Benefits:

Key Topics Covered:

1.0 Executive Summary

2.0 Introduction2.1 Research Objectives2.2 Key Findings2.3 Target Audience2.4 Companies in the Report

3.0 Overview3.1 Artificial Intelligence and Machine Learning3.2 AI Types3.3 AI & ML Language3.4 Artificial Intelligence Technology3.5 AI and ML Technology Goal3.6 AI Approaches3.7 AI Tools3.8 AI Outcome3.9 Neural Network and Artificial Intelligence3.10 Deep Learning and Artificial Intelligence3.11 Predictive Analytics and Artificial Intelligence3.12 Internet of Things and Big Data Analytics3.13 IoT and Artificial Intelligence3.14 Consumer IoT, Big Data Analytics, and Artificial Intelligence3.15 Industrial IoT, Big Data Analytics, and Machine Learning3.16 Artificial intelligence and cognitive computing3.17 Transhumanism or H+ and Artificial Intelligence3.18 Rise of Analysis of Things (AoT)3.19 Supervised vs. Unsupervised Learning3.20 AI as New form of UI

4.0 AI Technology in Big Data and IoT4.1 Machine Learning Everywhere4.2 Machine Learning APIs and Big Data Development4.3 Enterprise Benefits of Machine Learning4.4 Machine Learning in IoT Data4.5 Ultra Scale Analytics and Artificial Intelligence4.6 Rise of Algorithmic Business4.7 Cloud Hosted Machine Intelligence4.8 Contradiction of Machine Learning4.9 Value Chain Analysis

5.0 AI Technology Application and Use Case5.1 Intelligence Performance Monitoring5.2 Infrastructure Monitoring5.3 Generating Accurate Models5.4 Recommendation Engine5.5 Blockchain and Crypto Technologies5.6 Enterprise Application5.7 Contextual Awareness5.8 Customer Feedback5.9 Self-Driving Car5.10 Fraud Detection System5.11 Personalized Medicine and Healthcare Service5.12 Predictive Data Modelling5.13 Smart Machines5.14 Cybersecurity Solutions5.15 Autonomous Agents5.16 Intelligent Assistant5.17 Intelligent Decision Support System5.18 Risk Management5.19 Data Mining and Management5.20 Intelligent Robotics5.21 Financial Technology5.22 Machine Intelligence

6.0 AI Technology Impact on Vertical Market6.1 Enterprise Productivity Gain6.2 Digital Twinning and Physical Asset Security6.3 IT Process Efficiency Increase6.4 AI to Replace Human Form Work6.5 Enterprise AI Adoption Trend6.6 Inclusion of AI as IT Requirement

7.0 AI Predictive Analytics in Vertical Industry7.1 E-Commerce Services7.2 Banking and Finance Services7.3 Manufacturing Services7.4 Real Estate Services7.5 Government and Public Services

8.0 Company Analysis8.1 Google Inc.8.2 Twitter Inc.8.3 Microsoft Corporation8.4 IBM Corporation8.5 Apple Inc.8.6 Facebook Inc.8.7 Amazon.com Inc.8.8 Skype8.9 Salesforce.com8.10 Intel Corporation8.11 Yahoo Inc.8.12 AOL Inc.8.13 NVIDIA Corporation8.14 x.ai8.15 Tesla Inc.8.16 Baidu Inc.8.17 H2O.ai8.18 SparkCognition Inc.8.19 OpenAI8.20 Inbenta8.21 CISCO Systems Inc.8.22 Infineon Technologies AG8.23 McAfee8.24 Happiest Minds Technologies8.25 Tachyus8.26 Sentrian8.27 MAANA8.28 Veros Systems Inc.8.29 NEURA8.30 Augury Systems Ltd.8.31 glassbeam8.32 Comfy8.33 mnubo8.34 C-B48.35 PointGrab Ltd.8.36 Tellmeplus8.37 moov8.38 Sentenai Inc.8.39 imagimob8.40 FocusMotion8.41 MoBagel

9.0 AI in Big Data and IoT Market Analysis and Forecasts 2020 - 20259.1 AI in Big Data and IoT Market 2020 - 20259.2 AI in Big Data and IoT Market by Solution Components 2020 - 20259.3 AI in Big Data and IoT Market by Management Functions9.4 AI in Big Data and IoT Market by Technology9.5 AI in Big Data and IoT Market by Industry Vertical9.6 AI in Big Data and IoT Market by Solution9.7 AI in Big Data and IoT Market by Application9.8 AI in Big Data and IoT Market by Deployment9.9 AI in Big Data and IoT Market by AI System9.10 AI in Big Data and IoT Market by AI Type9.11 AI in Big Data and IoT Market by Connectivity9.12 AI in Big Data and IoT Market by Edge Network9.13 AI in Big Data and IoT Market in Smart City9.14 AI in Big Data and IoT Market by Intent-Based Networking9.15 AI in Big Data and IoT Market by Virtualization9.16 AI in Big Data and IoT Market by 5G9.17 AI in Big Data and IoT Market by Blockchain Networks9.18 AI in Big Data and IoT Market by Region

10.0 Conclusions and Recommendations10.1 AI Prediction10.2 Data Analytics Providers10.3 AI and Machine Learning Companies10.4 IoT Companies and Equipment Manufacturers10.5 Service Providers10.6 Enterprises

11.0 Appendix

For more information about this report visit https://www.researchandmarkets.com/r/hewgb5

Research and Markets also offers Custom Research services providing focused, comprehensive and tailored research.

Media Contact:

Research and MarketsLaura Wood, Senior Managerpress@researchandmarkets.com

For E.S.T Office Hours Call +1-917-300-0470For U.S./CAN Toll Free Call +1-800-526-8630For GMT Office Hours Call +353-1-416-8900

U.S. Fax: 646-607-1904Fax (outside U.S.): +353-1-481-1716

See the original post:

Artificial Intelligence in Big Data Analytics and IoT Markets, 2025 - AI Makes IoT Data 25% More Efficient and Analytics 42% More Effective for...