The document outlines the top 10 automotive industry trends and technologies to watch for in 2021, emphasizing the increasing importance of digital trends like AI, autonomous vehicles, and IoT in enhancing customer experiences and operational efficiency. It highlights the impact of startups leveraging these technologies to improve safety, data management, and manufacturing processes. As the industry evolves, companies are encouraged to adopt these innovations to stay competitive and meet customer expectations.

1. Top 10 Automotive
Industry Trends and
Technologies to Look
for in 2021
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2. Quick Overview: Get an insight into the
automotive sector digital trends that are
hiking the markets. Give your customers a
luxurious yet utilitarian auto-experience
such that entering the vehicle no more
remains a purpose to get somewhere.
Rather, they should have a desire to
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experience.
This blog contains the top 10 automotive
industry trends 2021. If you are an
entrepreneur in the vicinity of the
automobile industry, then invest your time
here and take away the futuristic approach
to boost your business.

3. Artificial Intelligence
Autonomous Vehicles
Big Data & Data Analytics
Blockchain
Internet of Things (IoT)
Cloud Computing Models/ Hybrid
Computing Models
AR/VR Solutions
Vehicle-to-Vehicle Communication
Smart Factory
Electrification
Table of Index
⭐ Introduction
⭐ 10 Automotive Industry Trends to Look
for in 2021
⭐ Conclusion

4. Introduction

5. Digital giants like Netflix, Amazon, and
Booking.com are setting exceptional
standards for customer experience.
Customers are used-to transparent prices,
one-click access, and fast delivery against
online & offline platforms. Customers are
expecting the same with automobiles. For
example, selling cars at transparent prices,
one-click access to in-car services, and
creating seamless online-offline journeys.
The new players in the market are thriving
because they are building extremely
customer-focused business and sales-
models. A study where such new market
players were questioned revealed that they
do not intend to sell cars, rather mobility.
The automotive industry and the sub-
branches of the domain that pertain under
the umbrella of the industry can leverage
the use of such fascinating and user-
friendly technologies.

6. Car-manufacturers, auto-parts
manufacturers, OEM original part
manufacturers, the ones in the transport
business, car-rentals, and shared mobility
have a tremendous amount of scope using
the digital technology trends in the
automotive industry for enhancing the
automobile utility and customer
satisfaction.

7. Top 10
Automotive
Industry
Trends and
Technologies

8. The automobile industry trends 2020n has
paved the way to keep the automotive
industry market trends top in the
competition.

9. 1. Artificial Intelligence
AI technologies like deep learning, machine
learning, and computer vision discover
robotic automation applications inside the
future trends of the automotive industry. AI
guides the self-driving or Autonomous cars,
helps the drivers in terms of safety,
manages the fleet, and enhances services
like vehicle insurance and inspection.
Artificial intelligence further finds
applications in automotive manufacturing,
the rate of production, acceleration and
helps to bring down the costs. Another best
example of AI Development Solutions For
Businesses and Enterprises in the
automotive industry is chatbots. They can
help a bid hand in deducing the manpower
and efforts along with satisfying and
serving customer queries.

10. Connectivity aided by AI creates room for
tracking the vehicular data easily for
several use cases like driver safety, fleet
management, insurance, and predictive
maintenance. Sharing or Splitting the
vehicular data helps the customer and
repairs and builds the entire mobility
ecosystem.
We are aware that fantastic self-driving cars
and connected cars can transform the
automotive landscape. It is going to change
how the drivers interact and communicate
with the vehicles. Human-Machine
Interface(HMI) uses voice-based feedback
to manage and operate the vehicles. This
further widens the scope of user control of a
car. Consequently, interfaces like these
make the driving experience much more
safe and enjoyable.

11. RevitsOne: RevitsOne is an Indian
startup that provides AI-powered fleet
management software and is suitable
for managing fleets of different sizes.
The vehicle management system of the
startup offers insights into running
vitals, speed, and health information.
Drivers of this solution are significantly
benefited from the Voicera ID, a voice-
based virtual assistant. In addition to it,
the onboard speed recorder restricts the
speed, thereby discouraging rash or
dangerous driving.
Examples:

12. Apex AI: Apex AI is a US-based startup
that authorizes automotive companies
to incorporate complicated AI solutions.
The Apex OS runs on automotive
electronic control units(ECUs), and for
developing an Autonomous mobility
solution, it provides reliable, secure, and
robust APIs. Furthermore, Apex
autonomy provides modules for
building 3D localization and enabling
Autonomous Vehicles. To conclude,
MARV. Automotive is an expansive data
management platform that transmits
data accurately and safely from the
vehicle to the cloud.

13. These are self-driving vehicles. They focus
on a simple goal to decrease a human
driver’s requirements and look forward to
bringing an evolution in daily
transportation. Stocks of AVs widens the
scope of last-mile deliveries, reduces the
overall downtime, and aims to convert the
concept of transportation safe and secure
by minimizing the accidents caused by
human drivers due to negligence.
Equipped with advanced and latest
technologies, AVs hold AI-enhanced
computer vision for spotting the hurdles or
obstacles that come in the route.
2. Autonomous Vehicles

14. Intvo: Intvo is a US-based startup that
owns pedestrian behavior indicating
technology. Comparing the 2D and 3D
object observation technology that
examines restricted parameters, Intvo’s
solution checks for eye contact, head
position, proper leg movements of the
pedestrian, and accurate weather
conditions, thereby assigning a certain
risk level. This procedure reduces all the
risks of accidents and elevates the
safety levels in Autonomous vehicles.
Examples:

15. Udelv: Udelv is a US Based startup that
offers Autonomous vehicles and deals in
last-mile deliveries. It mixes the hyper-
speed teleoperations and the AI
algorithms for human-assisted guidance
in certain situations. These vans own a
payload capacity of around 360kgs, and
it reaches a speed of approx 100km per
hour. This Autonomous van delivers
groceries from the close by stores and
sends a notification to the customer
when the order arrives.

16. In the generation of big data, advanced data
analytics notifies several decisions of a
specific vehicle’s life cycle. Data collected
from the vehicles qualify predictive
maintenance, alert the authorities in cases
of emergencies or accidents and notify the
managers about the fleets. With the help of
predictive analysis, car manufacturers can
take decisions on their annual sale purchase
and target for production. Additionally,
customer automotive data find the app to
improve supply chains, driving more sales,
increasing the upcoming new vehicles’
product design.
3. Big Data & Data
Analytics

17. Procon Analytics: Procon Analytics is a US-
based startup that influences big data to
provide a solution for automotive finance.
The solution gets hold of millions of data
points in real-time and inspects them to
enable the lenders to access them
immediately and lower the risk. This
company permits Buy Here Pay
Here(BHPH) dealers to expand their
businesses and credit to high-risk
customers. Furthermore, it provides
software solutions for asset and fleet
tracking along with connected cars.
Examples:

18. Unit8: Unit8 is a Swiss startup using
analytics and big data to provide digital
solutions in several industries. For
automotive particularly, the startup
progresses a predictive model that
encourages the car companies to
enhance marketing or operations
thereby elevating their revenue. These
models offer insights into product price,
build, and after-sales service as well.

19. Blockchains get hold of several applications
in the entire automotive industry. Few
include sharing of the vehicle data to a
secured network to enable connectivity and
shared mobility solutions like urban
transportation, ride-hailing, and deliveries.
Furthermore, blockchain finds the
application in confirming the supply chain
of the spare parts thereby ensuring that the
raw materials or parts are sourced
originally from trusted, safe, and legal
sources.
4. Blockchain

20. Cube Intelligence: Cube intelligence is a
British startup that develops a security
platform based on the blockchain for
Autonomous Vehicles. The use of hash
codes for blocking malicious attacks or
any hacking attempts hacking any
autonomous car and connected cars.
The hardware that is used collects real-
time data on emissions and Mobility.
Furthermore, cube intelligence provides
valet parking and ride-hailing services
for AVs along with smart parking
management systems.
Examples:

21. DAV: DAV is an Israeli startup that
provides a decentralized autonomous
vehicle platform based on blockchain
technology. This platform permits
Autonomous Vehicles to locate the AVs,
clients, and service providers around
them. The vehicle to vehicle (V2V)
interaction occurs on the blockchain
with smart contracts or the off-block
gain with DAV protocols. This startup,
however, develops specific protocols for
drone flight planning, charging
networks, and open mobility.

22. IoT allows secure interactions between the
vehicle to vehicle and its infrastructure
components in the vast automotive
industry. This technology helps to a great
extent in improving the road’s safety,
reducing pollution, solving traffic
congestion, and spending energy with
better management of the fleet. The
emerging companies and the startups in
developed advanced sensing technologies to
tock of data about the vehicle. Furthermore,
it enables the car to understand and
comprehend its surroundings. The best part
of Enterprise Mobility App Development is
that the technology automates toll
payments and fuel payments.
5. Internet of Things (IoT)

23. The data that is collected through IoT can
be influenced to offer great value-added
services to the drivers through the in-car
apps. Real-time driving data can be utilized
to give information in the navigation apps
which alerts the drivers for certain risks
like traffic hazards, bad road conditions, etc.
The automakers however need to handle
and manage the in-car software assets in a
reasonable and logical manner that involves
proper testing, accurately deploying
software, and tracking the deployment to
keep a record.

24. EcoG: EcoG operates from the US and
Germany. It is a startup that offers an
IoT-based operating platform and
system for enabling EV charging. The
startup offers the manufacturers
several tools that make the
maintenance and development of the
EV charging infrastructure fast, simple,
and scalable. It further permits the
operators to incorporate microservices
and services in the chargers to
transform the charging process more
profitable. Additionally, the solution
gets along well with any EV charger.
Examples:

25. KonnectShift: KonnectShift is a
Canadian startup that offers IoT
solutions to increase, and organize asset
and fleet management. The startup
supplements an automatic electronic
logging device (ELD), Konnect-GSO1, to
continually track the vehicle’s health.
The solution comprises route planning
and development for advanced and
latest analytics and real-time dispatch
to allow alerts regarding the vehicles,
fuel, driving, and maintenance thereby
deducting the downtime and developing
the driver management apps.

26. With the rise in demand for computing and
data in the automotive industry, an
enormous amount of collective innovating
is taking place in terms of data pipelines,
data capacity, computing capacity,
Analytics based algorithms, and AI. The
automotive companies own new computing
requirements that are only addressed by
cloud and hybrid computing models by
giving access to the enhanced capacity on
demand when they have storage-intensive
workloads and compute-intensive. Cloud
providers are funding significant R and D
resources in these areas specifically and the
car companies are partnering with these
providers to bring innovation in the correct
form.
6. Cloud Computing
Models/ Hybrid
Computing Models

27. Tesla: The Tesla model S is the superior
example of the modern-era car as it has
integration with the Tesla Cloud. The
cloud enables the driver to come over
any minor issue without involving the
driver’s physical effort.
BMW: The BMW automobile brand has
integrated with IBM cloud through their
BMW CarData network. The drivers
using these cloud services can tackle the
issue in a personalized manner.
Examples:

28. It is specifically made for the newly joined
employees in a company who can utilize the
AR/VR model for learning motive as well as
showcasing virtually to the customers. 3D
printing assists the automotive industry in
3 basic ways. First, it allows fast Prototyping
with the help of 3D printed models. This
accelerates the testing phases and design of
the production. Secondly, it enables the
manufacturers to print the spare parts to
match their needs and requirements. Lastly,
the additive generation of composite
materials guides to lighter, durable, and
robust automotive parts.
7. AR/VR Solutions

29. BMW: A real-time example of the mixed
reality trend in automotive is the BMW
company- which uses an augmented
dashboard for test-driving a specific car
model with the minutest customization
of the color and settings.
Examples:

30. Toyota: Toyota has developed a virtual
reality driving simulator known as the
TeenDrive365. To be more precise, this
stimulator helps the users to experience
the fun of driving in virtual reality
before they get themselves on the road.
Furthermore, it is enabled with 3D
graphics, realistic noises, full
simulations, and animations of the road
traffic. The TeenDrive365 teaches users
to be attentive on the road to avoid any
hurdles or distractions.

31. This brand innovation can decrease traffic,
sudden fatalities, severe vehicle accidents,
etc. With the introduction of V2V
innovation, a certain vehicle will receive a
signal straight away from the rest of the
vehicles in the entire car route.
8. Vehicle-to-Vehicle
Communication

32. Chorus Mobility: Chorus Mobility is a
USA-based startup that develops
applications based on blockchains for
enhanced V2V communication. The
applications allow Autonomous Vehicles
to communicate and share information
and data. Finally, the information that is
shared involves the factors like the
condition of traffic, roads, weather, etc.
Flexibility: Flexibility is a Russian-based
startup that develops and generates
close-range V2V solutions known as the
Flexroad. When this is installed in
certain vehicles, it allows the vehicle to
interact with other vehicles in a limited
or certain range. These vehicles warn
each other about potential collisions
and risks so that they can take
preventive measures.
Examples:

33. A smart factory stands as a vital part of
generating cars in a standardized, fast, and
free of error manner across diverse
locations around the globe. Robotic Process
Automation RPA uses technologies like
automation, modeling, and digitization to
offer a stabilized and flexible
manufacturing process in the foundation.
Apart from using automation and robotics
in the manufacturing industry, the adoption
of digital factories can generate great
business advantages.
9. Smart Factory

34. Mercedes-Benz: The company uses
virtual tools to aid their production and
thus develop self-learning and
optimizing production environments
using data analytics.
Audi: In Mexico, the automobile leader
Audi’s plant leverages 30% plus benefits
from its digital factory along with
strategy, talent robot, and integrated
system solution.
Examples:

35. Looking at the rate of depletion of the fossil
fuel reserves and the amount of harm
caused to the environment due to their use
introduces us to electric vehicles. (EVs). To
gain a more expanded adoption, EVs need to
evolve to spot issues like Fleet
electrification, low battery, insufficient
charging infrastructure, high price, and
fueling renewable energy-based charging
grids.
10. Electrification

36. Lordstown Motors: Lordstown Motors is
a US-based startup that makes an all-
electric pickup truck. The truck
Endurance TM is mapped to be a well-
built vehicle and comes along with
hardly any parts aa than traditional
commercial vehicles. This enables
extreme easy maintenance. This truck
features a 4hub electric motor to offer a
four-wheel drive and travel to distances
over 250 miles on one single charge.
Examples:

37. ChargeX: ChargeX is a German startup
that provides a modular EV charging
solution. It transforms parking spaces
into well-built charging stations.
Aqueduct, this startup platform is
uncomplicated to install, and it has four
charging modules using 22 kW energy.
Using a Type2 charging cable, this
solution offers accurate monthly
reports as well. It also indicates the
power requirements and automatically
handles the charging speed for each of
the vehicles.

38. I hope you are quenched by the futuristic
prospects of the marvelous automotive
industry trends 2021. Technology has the
power to transform any mere experience
into a utility-filled and profiting experience.
Who in the early agricultural era thought
that we today, shall be driving cars without
investing hand-energy or decisive skills into
the process? Be prepared for more such
eye-widening advances in the automotive
industry.
Do share your comments and feedback
here.
Conclusion

39. Thank you
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