Autonomus Vehicle Market Report Sample

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Global Autonomous Vehicles Market Outlook
Global Autonomous Vehicles Market Outlook 2024
Opportunity Growth Analysis, 2016-2024
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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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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
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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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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
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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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High Penetration
Medium Penetration
Low Penetration
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Global Autonomous Vehicles Market Size (USD
Billion)-2016-2024
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• 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.

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• 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
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• 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.

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• 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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• 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
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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.

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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
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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
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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
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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
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North America Autonomous Vehicles Market Size
(USD Billion)-2016-2024
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North America Autonomous Vehicles Market Size
(USD Billion), By Technology-2016-2024
North America Autonomous Vehicles Market Size
(USD Billions), By Country-2016-2024
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United States Autonomous Vehicles Market Size
(USD Billion), Compound Annual Growth Rate (),
Y-O-Y Growth Rate (), 2016-2024
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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.
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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
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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.

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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).
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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.
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