Global Artificial Intelligence in Big Data Analytics and IoT Market Outlook 2016-2023

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Artificial intelligence in big data analytics and IOT is making its way into many advanced solutions including smart bots, advanced predictive analytics, autonomous vehicles, and others. AI technologies are used to make effective and efficient decisions from the data obtained from big data analytics and the Internet of Things (IoT). The internet of things is basically an extension of internet connectivity into physical devices. The internet of things uses advance sensors and high speed internet networks that generate high volumes of data. The data obtained from IoT is referred to as big data, which cannot be processed by traditional data processing applications and algorithms.

At the same time, the data obtained from IoT-based systems faces difficulties in processing, storing, and visualizing. To avoid these problems, artificial intelligence solutions are used in managing and controlling this big data. Further, the AI technology in IoT helps in increasing work efficiency and effectiveness by reducing the operational time and cost. For instance, Google is using artificial intelligence with the internet of things for reducing their cost associated with cooling their data center.

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The global artificial intelligence in big data analytics and IOT is segmented on the basis of different technology and application. based on technology, the machine learning segment is growing at the fastest pace, owing to an increase in the use of this technology in IoT and big data analytics. Machine learning is used to minimize the risk of data security associated with data obtained from IoT devices and big data analytics, which is thereby driving the demand for artificial intelligence in big data analytics and IoT market

In terms of applications, the self-driving vehicles segment is growing at the fastest pace during the forecast period. Self-driving vehicles are trucks and cars that combine software and sensors to navigate, control, and drive vehicles without human drivers. Owing to this factor, there has been an increase in the demand for artificial intelligence in big data analytics and IoT in self-driving cars in recent years.

Based on regions, North America dominated the artificial intelligence in big data analytics and IOT in 2018 and is expected to show similar trends in the coming years, as the region is home to major market players that concentrate on mergers and acquisitions, in order to increase their market position.

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Table of Content

Chapter 1 Preface
1.1 Report Description
1.1.1 Purpose of the Report
1.1.2 Target Audience
1.1.3 USP and Key Offerings
1.2 Research Scope
1.3 Research Methodology
1.3.1 Phase I – Secondary Research
1.3.2 Phase II – Primary Research
1.3.3 Phase III – Expert Panel Review
1.3.4 Approach Adopted
1.3.4.1 Top-Down Approach
1.3.4.2 Bottom-Up Approach
1.3.5 Assumptions
1.4 Market Segmentation Scope

Chapter 2 Executive Summary
2.1 Market Summary
2.1.1 Global Artificial Intelligence in Big Data Analytics and IoT Market, 2016-2023, (US$ Mn)
2.1 Market Snapshot: Global Artificial Intelligence in Big Data Analytics and IoT Market
2.2 Market Dynamics
2.3 Global Artificial Intelligence in Big Data Analytics and IoT Market, by Segment, 2018
2.3.1 Global Artificial Intelligence in Big Data Analytics and IoT Market, by Technology, 2018, (US$ Mn)
2.3.2 Global Artificial Intelligence in Big Data Analytics and IoT Market, by Application, 2018,(US$ Mn)
2.3.3 Global Artificial Intelligence in Big Data Analytics and IoT Market, by Region, 2018 (US$ Mn)
2.4 Premium Insights
2.4.1 Artificial Intelligence in Big Data Analytics and IoT Market In Developed Vs. Developing Economies, 2018 vs 2023
2.4.2 Global Artificial Intelligence in Big Data Analytics and IoT Market: Regional Life Cycle Analysis

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Chapter 3 Market Dynamics
3.1 Market Overview
3.2 Market Drivers
3.2.1 The changing customer expectation
3.2.2 The increasing government initiatives
3.2.3 Driver 3
3.3 Market Restraints
3.3.1 Lack of professional expertise
3.3.2 Restraint 2
3.4 Market Opportunities
3.4.1 The unmanageable amount of data volume across various industries
3.4.2 Opportunity 2
3.5 Industry Value Chain Analysis
3.5.1 Analyst’s Views
3.6 Industry SWOT Analysis

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