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Autonomus Vehicle Market Report Sample

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According to Goldstein Research, global autonomous vehicles market is expected to grow at a CAGR of more than 39% during the forecast period 2016-2024. The autonomous vehicles are still in the testing phase but once there is the deployment of autonomous cars (expected by the year 2020), the world autonomous vehicle industry is expecting a sales of more than 600,000 units. – PowerPoint PPT presentation

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Title: Autonomus Vehicle Market Report Sample


1
Global Autonomous Vehicles Market Outlook
Global Autonomous Vehicles Market Outlook 2024
Opportunity Growth Analysis, 2016-2024
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Report Code AU 1335
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44-203-318-6627
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sales_at_goldsteinresearch.com
Published By Goldstein Research
Copyright All Rights Reserved, Goldstein
Research
www.goldsteinresearch.com
Copyright All Rights Reserved, Goldstein
Research
www.goldsteinresearch.com
2
Global Autonomous Vehicles Market Outlook
Global Autonomous Vehicles Market Share(), By
Region-2016-2024
Global Autonomous Vehicles Market Size USD
(Billion). 2016-2024
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Sample
Source Goldstein Research
Source Goldstein Research
In 2016, Driver Assistance Technology accounted
for the highest market share XX in global
Autonomous Vehicles market
With XX share in 2016, North America dominated
the global Autonomous Vehicles market
Global Autonomous Vehicles Market Share (), By
Components- 2016
Global Autonomous Vehicles Market Share (), By
vehicle Type-2016
Global Autonomous Vehicles Market Share (), By
Technology Type-2016
Source Goldstein Research
Source Goldstein Research
Source Goldstein Research
Copyright All Rights Reserved, Goldstein
Research
www.goldsteinresearch.com
3
Global Autonomous Vehicles Market Outlook
  • Tech companies like Apple and Alphabet, parent of
    Google, have now realized that they dont need to
    build hardware to win the autonomy game. Their
    collective conclusion is that they will never
    beat the auto industry at making a car the
    body and instead should focus on what they do
    best building revolutionary software platforms
    the mind this time in self-driving AI.
  • Huge tech companies are leveraging their software
    resources and experience to master machine
    learning so that their AI platform minds can not
    only sense the environment but also independently
    learn how to make more intelligent decisions
    about vehicle operation. Any aspirations to
    compete head-tohead with the automakers in making
    an actual vehicle have fallen by the wayside.
  • Intelligent mechanics can save fuel, reduce
    emissions, ease the flow of traffic, improve
    transportation and supply services. Moreover, the
    future of autonomous cars promises to save
    millions of lives by minimizing accidents caused
    by human error, making driving experience as safe
    as enjoyable.
  • Legal and ethical problems are hard to solve
    because their clues are outside the direct
    influence of the automotive industry and largely
    depend on the local governments. On the other
    hand, autonomous driving technology is improving
    faster and faster as more OEMs and Tier 1 vendors
    join the race to create autonomous cars.
  • A few years ago, sensor quality and cost were the
    hot spot of every discussion about the driverless
    future as the potential niche for business
    investments. Google used a LIDAR system priced at
    around USD 75,000 per unit, which was half the
    total cost around USD 150,000 of each of
    their driverless vehicles. These prices made
    self-driving cars a dead weight for the global
    market because a single travel on a self-driving
    car was tended to cost impossible sum comparable
    to owning a private jet.

Growing IT Spending
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Sample
Technological Advancements
Cost Efficiency
Emergence of Artificial Intelligence
Global Autonomous Vehicles Market Size (USD
Billion)
North America
Europe
Asia-Pacific
USD XX Billion
2025
USD XX Billion
USD XX Billion
2035
USD XX Billion
USD XX Billion
USD XX Billion
Copyright All Rights Reserved, Goldstein
Research
www.goldsteinresearch.com
Copyright All Rights Reserved, Goldstein
Research
www.goldsteinresearch.com
4
Major Players Presence-Regional Analysis
Major Players/ Industries North America APAC Europe Latin America Middle East Africa
Nissan Motor Corporation
Toyota Motor Corporation
Tesla Motors, Inc.
Audi AG
BMW
General Motors
Baidu Inc
Uber
Volvo Group
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Sample
High Penetration
Medium Penetration
Low Penetration
Copyright All Rights Reserved, Goldstein
Research
www.goldsteinresearch.com
5
Global Autonomous Vehicles Market Size (USD
Billion)-2016-2024
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Sample
Source Goldstein Research
  • Global Autonomous Vehicles Market is anticipated
    to expand at a compound annual growth rate of XX
    during the forecast period i.e. 2016-2024.
    Emergence of autonomous vehicles and other
    innovative technologies could provide solutions
    to some of our most stubborn social problemsthe
    high cost of traffic crashes and transportation
    infrastructure, traffic jams and to curb rising
    need for parking lots. The automotive industry is
    currently developing and providing sensor-based
    solutions to increase vehicle safety, known as
    Advanced Driver Assist Systems (ADAS), which uses
    a combination of advanced sensors, such as stereo
    cameras and long- and short-range RADAR, combined
    with actuators, control units, and integrating
    software, that enable cars to monitor and respond
    to their surrounding environment.
  • According to the autonomous vehicle market
    report, major driver in the market is growing
    investments by automotive companies and favorable
    government policies for faster development and
    deployment of autonomous vehicles. For instance,
    the new legislation in Germany allows the German
    car manufacturers to test their prototype
    autonomous vehicles on roads.

6
  • Huge RD Activities by Major Technology and
    Automotive Companies
  • The traditional automakers are no longer simply
    working on adding self-parking and other
    driver-assistance technologies to luxury cars.
    Perhaps concerned that they will become hardware
    manufacturers subservient to powerful operating
    systems providers, as we have seen play out in
    other industries, they are now preparing for a
    future of full autonomy.
  • Some are signaling the seriousness of their
    intentions through high-profile personnel
    changes For example, Jim Hackett, the former
    leader of Fords autonomous vehicle efforts, was
    recently named CEO of the automaker. Others are
    taking their intentions directly to investors and
    the public, such as when GMs CEO Mary Barra
    recently told The New York Times, We definitely
    want to be first to develop a fully autonomous
    car. GM is now mass producing self-driving Chevy
    Bolts to create the largest fleet of autonomous
    vehicles to date.
  • With the self-driving mind outsourced to a
    leading tech player, however, a wide range of
    auto OEMs will have to partner with the platform
    and produce competitive self-driving vehicle
    hardware. The potentially huge demand and range
    of uses for autonomous vehicles could support a
    wide range of producers of the bodies again,
    similar to the range of PC and smartphone OEMs
    running Windows and Android, respectively.

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Total autonomy-related U.S. patent filings,
select tech players (2007-2016)
Total autonomy-related patent filings by OEM,
2007--2016
Sample
Source Goldstein Research
Source Goldstein Research
  • Impact Analysis-
  • Of course, the race wont be over once we get
    from 0 to 1. Instead, it will shift into the next
    gear as an even wider range of companies
    including mobility-as-a-service firms like Uber
    fight to make their model of autonomous mobility
    widespread. In other words, the journey from 1 to
    100 will begin.

7
  • Technology and Cost Related Challenges
  • Relying on sensors, software, and GPS data, an
    autonomous vehicle processes nearly 4,000
    gigabytes of data daily. Advanced machine
    learning algorithms need timely updated data to
    react to the ever-changing environment. A
    continuous exchange of data between vehicles and
    the cloud can overload data networks and data
    storage, creating additional challenges for
    software vendors.
  • Currently, map providers are putting every effort
    into reducing the volume of data transferred
    between a vehicle and the cloud by trying to
    maximize the amount of data processed within the
    vehicle itself. One proposed solution is a
    so-called self-healing map that would use
    on-board AI algorithms and deep learning
    capabilities to navigate without stepping too far
    to the cloud.
  • Advanced V2V communication systems will make it
    much easier for autonomous vehicles to understand
    traffic behavior. Essentially, this is because
    vehicles will communicate in their own language
    among each other. Currently, a vehicles AI has
    to adapt to the human-made system of signs and
    signals to predict the movements of other
    human-driven vehicles.

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Sample
  • Impact Analysis-
  • As many as 50 start-ups are out to get costs way
    down, along with the research and development
    departments at automakers and auto industry
    suppliers, and Silicon Valley giants such as
    Google and Apple. Much of their focus is on the
    most expensive item in the computerized system
    that controls a robot car laser-based sensors,
    or lidar.
  • Traditional auto suppliers such as Continental
    and Bosch are working on lidar systems. Some,
    such as Delphi (recently renamed Aptiv) and
    Magna, have struck partnerships with smaller
    lidar companies.

Impact on Global Autonomous Vehicles Market
8
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Global Autonomous Vehicles Market Share (), By
Technology Type, 2016-2024
  • In the next five years, vehicles that adhere to
    SAEs high-automation level-4 designation will
    probably appear. These will have
    automated-driving systems that can perform all
    aspects of dynamic mode-specificity AVs, even if
    human drivers dont respond to requests for
    intervention. While the technology is ready for
    testing at a working level in limited situations,
    validating it might take years because the
    systems must be exposed to a significant number
    of uncommon situations.
  • Given current development trends, fully
    autonomous vehicles wont be available in the
    next ten years. The main stumbling block is the
    development of the required software. While
    hardware innovations will deliver the required
    computational power, and prices (especially for
    sensors) appear likely to go on falling, software
    will remain a critical bottleneck.

Sample
Source Goldstein Research
Global Autonomous Vehicles Market Y-O-Y Growth,
By Mode of Deployment, 2016-2024
Source Goldstein Research
Global Autonomous Vehicles Market Size (USD
Billion), By Mode of Deployment -2016-2024
Source Goldstein Research
9
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Global Autonomous Vehicles Market Size (USD
Billion), By Driver Assistance Technology,
2016-2024
  • These advanced driver-assistance systems
    (ADAS)including emergency braking, backup
    cameras, adaptive cruise control, and
    self-parking systemsfirst appeared in luxury
    vehicles. Eventually, industry regulators began
    to mandate the inclusion of some of these
    features in every vehicle, accelerating their
    penetration into the mass market. By 2016, the
    proliferation of ADAS had generated a market
    worth roughly USD XX billion.
  • Around the world, the number of ADAS systems (for
    instance, those for night vision and blind-spot
    vehicle detection) rose from 90 million units in
    2014 to about 140 million in 2016a XX percent
    increase in just two years. Some ADAS features
    have greater uptake than others. The adoption
    rate of surround-view parking systems, for
    example, increased by more than XX percent from
    2014 to 2016, while the number of adaptive
    front-lighting systems rose by around 20 percent
    in the same time frame.

Sample
Source Goldstein Research
Global Autonomous Vehicles Market Y-O-Y Growth,
By Public Cloud, 2016-2024
Source Goldstein Research
Car sensors and software to enable cars see the
road
10
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Global Autonomous Vehicles Market
Attractiveness-By Technology, 2016-2024
CAGR ()
Market Size (USD Billion)
Full Automation
Sample
Source Goldstein Research
Water based adhesive segment holds the largest
revenue share in the global Autonomous Vehicles
market as this segment constitutes which is
impacted by the rising cognizance among the
household users and thus it is likely to expand
at XX CAGR during the forecast
period. Autonomous Vehicles market is relying on
the adoption of EHR (Electronic health record)
software by various healthcare facility providers
in order to stand ahead in future. Behavioral
health EHR creates a world of difference to the
staff and patients and goes the extra mile giving
advanced capabilities such as it include support
for documenting violence risk factors, suicide
risk factors, or sadness scales.
Global Autonomous Vehicles Market BPS Analysis-
By Mode of Deployment, 2016-2024
Source Goldstein Research
11
North America Autonomous Vehicles Market Size
(USD Billion)-2016-2024
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Sample
Source Goldstein Research
North America Autonomous Vehicles Market Size
(USD Billion), By Technology-2016-2024
North America Autonomous Vehicles Market Size
(USD Billions), By Country-2016-2024
Source Goldstein Research
Source Goldstein Research
12
United States Autonomous Vehicles Market Size
(USD Billion), Compound Annual Growth Rate (),
Y-O-Y Growth Rate (), 2016-2024
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Sample
Source Goldstein Research
Opportunities in Autonomous Technology Projected
number of autonomous vehicles in operation in the
United States in 2024 and 2035 (in millions)
Key Insights
In June 2011, Nevada became the first state in
the world to allow autonomous vehicles on public
roads.56 Nevada law defines an autonomous vehicle
as a motor vehicle that uses artificial
intelligence, sensors and global positioning
system coordinates to drive itself without the
active intervention of a human operator. The law
also acknowledges that the operator will not need
to pay attention while the car is operating
itself. California recently passed regulations
allowing the routine use of autonomous cars on
public roads but has mandated that human
operators would be required, in case there is a
need to take control. 58 Nevada, California,
Florida, Michigan and Washington D.C. have
successfully enacted laws with respect to
autonomous vehicles.
Source Goldstein Research
While it can be difficult for U.S.-made parts to
compete with low-cost Chinese parts, there are
many opportunities for exports. Many Chinese
consumers appreciate the quality and reliability
of U.S.-made parts, and they have the means to
pay extra for them. In addition, those parts with
advanced technologies or unique features have the
potential to be exported. Moreover, create more
opportunities for vehicle electronic control
technologies, including sensors and modules to
take better advantage of different fuel types.
13
North America Autonomous Vehicles Market
Attractiveness-By Country, 2016-2024
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CAGR ()
Market Size (USD Billion)
Source Goldstein Research
Sample
According to the above graph, US Autonomous
Vehicles market is anticipated to be the most
attractive market across the region, for new
entrants looking to enter in the market, existing
players looking for business expansion and
investors seeking investment opportunities over
the forecast period i.e. 2016-2024. Moreover,
consumer interest for autonomous vehicles is
growing around the globe. In 2016, a poll by the
MIT in the U.S. found that XX percent of
respondents aged between 35 and 44 were willing
to use partially autonomous vehicles, while XX
percent of respondents aged 75 or older said the
same. Autonomous vehicle developers are looking
closely at lidar because current radar-based
sensor technologies are inadequate and have bad
angular resolution. We expect early adopters of
lidar to be fleet vehicles and taxis, predicting
consumer vehicle applications perhaps by 2025.
North America North America Autonomous Vehicles
Market BPS Analysis- By Country, 2016-2024
Source Goldstein Research
14
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Tesla Inc. (Company Overview Business Strategy)
Founded 2003
Website www.tesla.com
Employees 37,543
Headquarters U.S
Company Overview
Key Products
Electric Vehicles
Batteries
Charging Stations
Solar Panels
Energy Storage Systems
Solar roof Tiles
  • Tesla, Inc. (formerly Tesla Motors) is an
    American multinational corporation that
    specializes in electric vehicles, energy storage
    and solar panel manufacturing based in Palo Alto,
    California.
  • Founded in 2003, the company specializes in
    electric cars, lithium-ion battery energy
    storage, and residential photovoltaic panels
    (through the subsidiary company SolarCity).
  • The additional products Tesla sells include the
    Tesla Powerwall and Powerpack batteries, solar
    panels and solar roof tiles.
  • The company's Model S was the world's
    best-selling plug-in electric car in 2015 and
    2016. Global sales of the Model S reached the
    200,000 unit milestone during the fourth quarter
    of 2017.
  • Tesla operates multiple production and assembly
    plants, notably Gigafactory 1 near Reno, Nevada
    and its main vehicle manufacturing facility at
    Tesla Factory in Fremont, California.

Sample
Business Strategy
Investment and Innovation Tesla entered the
market through expensive high-end cars targeted
to the more financially privileged class of
people. Once it is more established and widely
known as a successful idea, it would venture into
a more competitive market of lower-level priced
models. So the first model was launched to get
the companys mission out in the
marketplace. All Tesla needed was to make a name
for their brand get its concept widely accepted.
After that it reinforced its business model.
Teslas business model is based on a
three-pronged approach to selling, servicing, and
charging its electric vehicles. Teslas growth
strategy is mostly driven by the anticipated high
demand for Model 3. Hence, research and
development costs rose to USD 81.5 million from
USD 54.9 million a year ago (2016).
15
Tesla Inc. (Business Segments Recent News)
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Business Strategy
Improves quality control structure and
globalization The company has adopted various
methods to enhance their manufacturing structure
which helps the company to improve the quality of
their automobile products. Moreover, the company
is looking forward towards expansion of
globalization. Tesla Inc. Corporation Motors
adopted Tesla Inc. Corporation Global Vision in
2011 to improve the quantitative expansion across
the globe. The company is investing a huge amount
for research and development activities to
introduce the future of material handling
equipment such as hydrogen powered forklifts and
automated guided vehicles. The company spend USD
588.11 Million in 2016 for research and
development of their products and services. Tesla
Inc. Corporation motors is one of the largest
automobile and material handling equipment
manufacturer across the globe and expected to
lead other global companies in near future.
16
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