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KACSK Market Research recently promoted a report on Global Autonomous Cars Market

The report offers a comprehensive valuation of the marketplace via in-depth comprehensions, accurate market growth by evaluating past developments, and keeping track of current situation and future prospects by intellect progressive and likely areas.
The Global Autonomous Cars Market report offers a deep analysis of the Market Research Industry. It demonstrates a rapid summary of industry data and key catalog of the market. The report highlights well-known performers from the Global Autonomous Cars Market beside contribution to the market vocation progress within the estimated time.  KACSK Market Research Report covers recent improvements while predicting the expansion of the players of the market.

Global Autonomous Cars Market Report is expected to grow at CAGR XX% by 2030. Global Autonomous Cars Market Report was $XX Million in 2019 and it expected to reach $XX Billion by the forecasted period 2020 to 2030

AUTONOMOUS CARSS
For quite some time the automotive industry has been keen on investments in the new age technology of Autonomous Carss , so we at KACSK Market Research thought of taking a dip in the new age technology and clear the buzz.
Generally, Autonomous Cars areone’s capable of moving with no human input by sensing its environment. This is made possible by variety of sensors that  perceive the surroundings, which can be named inertial measurement units , radar, Lidar, sonar, GPS and odometry. Control systems are used to navigate the paths by sensing the environment through sensory organs. This technology is now primarily being put for public transport and fleet vehicles to maximize their implications for the general masses across the nations but soon will have life changing implications in all aspects of mobility.

The history dates long back, since 1920 we have conceptualized the idea of Autonomous Carss and experiments began in 1950. Japan’s Tsukuba Mechanical Engineering Laboratory developed the first automated car was developed in 1977with a top speed of 30 kms/hr later in 1980 we started witnessing numerous prototypes. DARPA in 1984 funded Carnegie Mellon University’s Navlab and ALV and also in 1987 Mercedes-Benz and Bundeswehr University funded  Munich’s EUREKA Prometheus Project this saw a major boost in the race with many more similar fundings. In 1991 US allocated $650 million on behalf of the National Automated Highway System, 2015 saw the clearance of 6 US states for testing of Autonomous Carss on public roads along with Germany, Netherlands and Spain.
The breakthrough came in December 2018,Waymo autonomous taxi service of US came up with the first fully commercial Autonomous Cars. With detection and tracking of other moving objects (DATMO)Waymo has developed a system called SLAM (simultaneous localization and mapping)to identify moving objects and pedestrians.

The same year, MIT announced its expertise in building an automated car that can drive on unmapped roads. Maplite was developed by researchers at CSAIL which claims to allow cars to drive on roads like never before without 3D maps. In January 2019 Russia’s internet giant  Yandex tested its cars in Las Vegas and continued testing even in International Consumer Electronics Show (CES) 8–11 January. Ministry of Transport of Israel allowed Yandex to further test on public roads in 2019.
This new technological advancement has its own pros and cons and it won’t be fair to undermine the basic characteristics.
Homogenization and decoupling

Digital information from the various techniques (e.g. radar, GPS, motion sensors and computer vision) has to be stored in a homogenous way, which means same form of information with differences being decoupled for better understanding by the vehicle systems.
Connectivity
Autonomous vehicles are enabled with communication systems to communicate with roadside units to know about road work or traffic congestion. Future will have computer programs to connect and manage each individual autonomous vehicle through its route thus reducing the dependability on traffic signals and road mappings.
Reprogrammable
Similar to the mobile phones, Autonomous Carss will run on programs that will auto update and relearn from its AI systems. Thus reducing the load of manual updates and reprogramming.
Digital traces
Autonomous Carss have to be interoperating with roadside cars and other systems to make their way thus leaving digital traces. Such traces of this new model of mobility will enable to study and develop new systems for better results and find advancements.
AUTOMATED TRUCKS– Least left behind
To add the least there is almost equivalent buzz in the trucking and logistics arena too keeping in mind and vast span of this industry. Otto,(a self driving truck giant) demonstrated their trucks before being acquired by Uber in August 2016. Peterbilt’s vehicles too wouldn’t mind being left behind as a result announced a partnership with Embark, San Francisco-based startup in May to develop automated technology for their trucks. 2016 saw the first successful commercial delivery of beer under the joint venture of , Anheuser-Busch Inc and Uber Technologies Inc.Starsky Robotics in March 2018 completed its first 11 Kms run , becoming the first to run on public roads without a person.  In China, auto giant Baidu and King Long have expertise in automated buses with 14 seater capacity without driver, 2018 will marked the first year with 100 such units being produced and used for the masses.
Lockheed Martin developed a convoy system which can drive number of trucks with the initial one being human controlled, funded by the US army; developed as a part of the Army’s Autonomous Mobility Applique System (AMAS), consists of a driving package that drives nine types of different vehicles as a convoy, has completed 55,000 hours of driving with a speed of 40 mph.
Cities across the globe are planning to operate transport systems relevant and to facilitate driverless mobility like Europe, cities in Belgium, France, Italy and the UK. The French Government in 2015 summer allowed PSA Peugeot-Citroen to make trails in the Paris city for automated driving.
ADVANTAGES
SAFETY- McKinsey & Company estimated that driverless vehicles will eliminate 90% of road accidents in US thus saving $190 billion in health costs and related damages. Auto pundits predict that this new mobility will let off accidents caused by human errors and its different forms thus saving the lives of millions of people.
WELFARE-Reduced labor costs, reducing behind the wheels commuting hours thus giving more time for leisure or work, erase distractions while driving like texting, chatting etc also a ray of hope for elderly and low income citizens.
TRAFFIC-Better ride quality, higher speed, and reduced traffic congestion, reduced need of traffic Police and along with all least dependence on road signage.
Lower costs-With the entire tech and the digitalization coming in, cost of insurances will drastically reduce due to less road accidents and its threats.
Energy and environmental impacts-Autonomous Carss will accelerate less and break better thus increasing mileage also due to higher speed and due to less traffic congestion fuel efficiency shall be more enhanced. Inter-operational networking will benefit them to take shorter routes and thus saving more fuel.
Parking space
Autonomous Carss will be more driven and consistent whereas manually driven one’s are only 4-5% driven and remaining 95% of the time being parked.
Below is the detailed list of some of the major investments in the run of driverless technology
1.         Ford $1 billion investment in Argo AI
2.         Toyota research Institute $1 billion
3.         Uber purchased Otto for $680 million
4.         GM acquired CRUZE AUTOMATION for $580 millions
5.         Intel to buy Mobileye for $15.3 billion
6.         GM invests $500 million in LYFT- drive sharing startup
7.         VOLVO and Uber $300 million JV
8.         Hyundai $1.7 billion R & D
9.         Intel $250 million in driverless AI tech.
Having detailed the race and competition is so vast that 5G is a must needed network to be able to process and analyses the data received through all the sensors of driverless vehicles. But there is no denying to the fact that the race is heated and mankind will experience the best of its mobility option in no time.
The research report study is tactical in nature, taking an aggregate and long- term view, regardless of the players involved in the products.
This research report study gives, nevertheless, our worldwide estimates, demand, or the potential industry earnings (P.I.E.), for Global Autonomous Cars Market. It also shows how the P.I.E. is divided over the world’s National and Regional markets. For each country, our study also enhances estimation of how the P.I.E. (potential industry earnings) grows over time (positive or negative growth). In order to process to make these estimates, a multi-stage methodology was employed

Global Autonomous Cars Market The report estimates back to the year. It assesses the idea of returns (USD Millions). The study emphasizes the drivers also challenges which are determining the market growth. It also determines the valuation of the anticipated time. The report covers the key opportunities for the event.
The global KACSK Market Research team covers the key product category, sections, and sub-sections. The entire classification of the Market is out there within the global report associated with the analytics of the restraining and supporting factors of the market.
The study of KACSK Market Research comprises comprehensive primary investigation along with the detailed investigation of qualitative as well as quantitative aspects by various enterprise experts, key opinion leaders to obtain a deeper insight of the market and enterprise performance. The report gives a definite perception of the popular market situation which introduces the historical and predicted market size in terms of value and volume, technological advancement, macro economic and governing factors in the market. The report presents detailed information and strategies of the top key players in the industry.

The global Market classification is predicated on the variability of products and end-user request sections. The market study includes the event of every section of the worldwide Market. The info summarized within the report may be a collection of variant manufacturer bodies to approximate the expansion of sections in future time.
Qualitative, Quantitative, Forecasting and in-depth analysis for the market will be provided on a global, regional, and country-level for the following years:

Historical data- 2016 to 2018
The base year for estimation- 2019
Forecast period- 2020 to 2030

Our Research covers Competitors:
1- Company Profile
2- Main Business Information
3- SWOT Analysis
4- Sales, Revenue, Price and Gross Margin
5- Market Share
Market share and company profiles of the:
KACSK MR Present latest study on- Global Autonomous Cars Market The report present extensive, in-depth analysis of the on-going trends, opportunities/ high growth areas, market drivers, which could help stakeholders to device and align market strategies according to the future market dynamics.
Based on elite players, present, past and futuristic data which will offer as a profitable guide for all the readers and competitors. The overall analysis covers an overview of the industry policies, the cost structure of the products available in the market.

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KACSK Market Research- Our Research study will provide you to understand the key market trends, challenges, Market Size, Market Key Players, Market Insights, SWOT analysis, and opportunities in the industries.

1. The report offers statistical data in terms useful (US$) also as Volume (units)   till Forecast period.
2. Exclusive insight into the key trends affecting the industry, although key threats, opportunities and disruptive technologies that would shape the Global Autonomous Cars Market supply and demand.
3. The report tracks the leading market players which will shape and impact the Global Autonomous Cars Market most.
4. The info analysis present within the report is predicated on the mixture of both primary and secondary resources.
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6. Distribution Channel sales Analysis by Value.
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