Automotive Artificial Intelligence Market: Support With Integrations for autonomous vehicle, semi-autonomous driving, and human machine interface and other

Automotive Artificial Intelligence Market

According to a new report published by Reports Monitor titled, “Automotive Artificial Intelligence Market by Type, Property & Applications: Global Opportunity Analysis and Industry Forecast, 2017–2025,” the Automotive Artificial Intelligence Market was valued at XX million in 2016 and is projected to reach at XX million by 2025, growing at a CAGR of XX% from 2017 to 2025. Asia Pacific dominates the Automotive Artificial Intelligence Market, both in terms of volume and value, and is expected to maintain this trend throughout the forecast period. 

Artificial intelligence in the automotive industry is responsible for making the drastic changes in how to build and use the vehicles. The manufactures are continually absorbing the artificial intelligence into each aspect of automotive industry.

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The automotive artificial intelligence market is booming due to the continuous demand for automotive industry. The market is witnessing the significant growth in the future owing to the emergence of cloud-hosted intelligence and internet of things. However, the major players in the automotive industry is largely investing in advancement of artificial intelligence for automobiles, which is one of the important factor for the growth of the market. The opportunity for the market includes changing consumer preference towards convenience and safety is one of the opportunity for original equipment manufacturers in the market. The factors hampering the growth of the market includes high cost and lack of awareness among consumers.

The market is classified into various segments such as by technology, by process, by application, and by region. According to the technology segment the market is bifurcated into deep learning, machine learning, computer vision, context awareness, and natural language processing. On the basis of process, the market is divided into data mining, image recognition, and signal recognition. The applications are categorized into autonomous vehicle, semi-autonomous driving, and human machine interface.

Key Question Answered:
• What will be the market size in 2025 and at what rate it will grow?
• Who are the major key players in global automotive artificial intelligence market and what are their strategies?
• Which vertical industry is expected to show major growth?
• What segment and region will lead the market and why?

The major companies profiled in the report include: Nvidia, IBM, Intel, Microsoft, Alphabet, Baidu, AImotive, Nauto, nuTonomy, and Zoox.

 In-depth table of contents for this report @ http://bit.ly/2vcicj0

Research Scope:
The study for Automotive Artificial Intelligence Market will provide market size, estimates and forecast based on the following years: 

Historic data: 2015
Base Year Estimate: 2016
Forecast: 2017 to 2025

The report has been categorized in two distinctive sections, where the first category titled as Market Overview provides a holistic view of the market, key trends, drivers, challenges/restraints or opportunities with their current and expected impact on the overall industry sales.

Our analyst implement several qualitative tools such as Ansoff’s Matrix, PESTEL analysis, Porter’s five force analysis among other to interpret and represent key industry findings.

The second section of the study provides market size, estimates and forecast for key market segments and regional market. The final part of the report highlights key manufacturers/vendors operating in the associated market.

1.Introduction
1.1 Market Definition
1.2. Market Scope

2.Research Methodology
2.1. Primary Research
2.2. Secondary Sources
2.3. Assumptions & Exclusions

3.Market Overview
3.1. Research Report Segmentation & Scope
3.2. Key Market Trend Analysis
3.2.1. Market Drivers
3.2.2. Market Restraint/Challenges
3.2.3. Market Opportunities
3.3. Porter’s Five Forces Analysis
3.4. Potential Venture Avenues
3.5. Market Share Analysis, 2016 

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