Skip to main content

Artificial Intelligence in Automotive Market Analysis of Effective Business Strategies 2018 To 2026

Artificial Intelligence is increasingly being adopted in the automotive sector, in order to reduce human errors and human intervention. Artificial intelligence autonomously enhances visual perception, decision making, and speech recognition.  The increasing government regulations for vehicle safety become one of the major driver for the growth of the market.

Request PDF Brochure for Sample Purpose @ https://www.coherentmarketinsights.com/insight/request-pdf/1347

Increasing demand for autonomous vehicles is a major factor driving growth of the artificial intelligence in automotive market

Increasing demand for autonomous vehicles is expected to support growth of the artificial intelligence in automotive market. Increasing number of road accidents and fatal injuries, due to human errors has led to increasing demand for autonomous vehicles. For instance, according to the World Health Organization (WHO), 2015, fatalities of 1.25 million people were reported and 50 million people were injured, due to road accidents globally. Therefore, using autonomous vehicles could reduce accidents due to human errors. Key automakers are focusing on developing autonomous vehicles, which is expected to aid in growth of the market. For instance, Volkswagen is expected to launch self-driving cars by 2019 and BMW is expected to launch autonomous iNext by 2021. Moreover, fleet operators are also focusing on deploying self-driving cars, in order to enhance their market share. For instance, 2016, NuTonomy—a U.S.-based company, announced its plans to deploy self-driving taxi services in Singapore by 2018, and plans to be operational with fleets of self-driving taxies in 10 cities of the world by 2020.

Deep learning segment is expected to hold the largest share in the market over the forecast period

Deep learning segment held the largest share in 2016 and is projected to retain its dominance throughout the forecast period. Increasing use of deep learning by automotive manufacturers such as Audi, Delphi, Ford, and Volkswagen for various applications such as data analysis, speech recognition, image processing has led to growth of this segment.

Artificial intelligence in automotive market- Regional Insights

The global artificial intelligence market is segmented on the basis of regions into North America, Europe, Asia Pacific, Latin America, and Middle East, and Africa. North America is expected to account for the largest market share in the artificial intelligence in automotive market over the forecast period. This is due to existence of government initiatives regarding the enhancement of the automotive vehicles.  For instance, in 2016, the US government has invested US$ 4 billion for autonomous vehicles. Also, high presence of market leaders such as Qualcomm Inc., Ford Motor Company, and General Motors Company is another factor for growt of this market. U.S. and Canada are the growth engines in North America.

Browse more about the research report @ https://www.coherentmarketinsights.com/ongoing-insight/artificial-intelligence-in-automotive-market-1347

Artificial intelligence in automotive market- Competitive Background
Major players of global artificial intelligence in automotive market are Qualcomm Inc. (U.S.), Tesla Inc., Volvo Car Corporation, BMW AG, Audi AG (Germany), General Motors Company (U.S.), Ford Motor Company (U.S.), Toyota Motor Corporation (Japan), Hyundai Motor Corporation (South Korea), Uber Technologies Inc. (U.S.), and Apple Inc.

Comments

Popular posts from this blog

Application Delivery Network Market 2026 Focus On Research Methodology, Market Dynamics

Application Delivery Network is a set of technologies, which provides application availability, security, visibility, and acceleration. The application development network is primarily implemented to work with dynamic content. The major advantage of application delivery network is that it helps in improving the performance of Internet traffic. Increasing data traffic is major factor driving growth of the market. According to Coherent Market Insights, in 2016, 96,054 PB IP data traffic was generated per month and is projected to reach 278,108 PB IP data traffic by 2021, worldwide. Hence, increasing data traffic have accelerated the demand for application delivery network. Download PDF Copy @ https://www.coherentmarketinsights.com/insight/request-pdf/1390 Increasing adoption of mobile traffic is major factor driving growth of the market Increasing adoption of smart phones by user is one of the major reason for mobile data traffic. According to the Coherent Market Insights...

Background Music Market Assessment, Forecast: Invant Research by 2026

Global background music market generated revenue of US$ 1.35 billion in 2017. By 2026, the background music market is expected to be valued at US$ 2.31 billion with a CAGR of 6.3% over the forecast period. AV system segment held dominant position in the global background music market in 2017 and is expected to retain its dominance over the forecast period. AV system segment generated revenue of US$ 824.5 Mn in 2017. Request sample copy here @ https://www.coherentmarketinsights.com/insight/request-sample/2563 Availability of variety of music online and affordable subscription services has increased demand for background music. Rather than using compact disc, retailers are now downloading and constantly updating music from online sources. According to Coherent Market Insights’ analysis, paid music streaming subscription revenue was around US$ 230 Mn in 2018 and will reach around US$ 342 Mn by end of 2022, globally. Moreover, to attract more consumers, royalty free background musi...

Hashgraph Market Consumption, Market Share, Growth Opportunities & Regions By 2026

Hashgraph is an advanced type of distributed ledger technology developed by Swirlds, a US-based company. The key features of hashgraph algorithm includes fast, secure and fairness of access. Hashgraph is a data structure and distributed algorithm that reduces the requirement of major computation power and massive energy consumption. Moreover, hashgraph is expected to eliminate Ripple in banking and finance application. It can carry out functions faster than blockchain, and takes only a second for hundreds of thousands of transactions. These factors are expected to provide major growth opportunity to decentralized applications including games, stock market, and auctions. Download PDF Brochure @ https://www.coherentmarketinsights.com/insight/request-pdf/1130 Most applications that require thousands of transactions per second require community agreement on the order of transactions in near real time. For example, Google Apps for Work includes docs, sheets, and slides that can be...