23rd Annual Needham Growth Conference - January 11 - 15, 2021 Casey Eichler, CFO Louis Gerhardy, Corporate Development ...
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AMBARELLA.COM COPYRIGHT AMBARELLA 2021
January 11 – 15, 2021
23rd Annual
Needham Growth
Conference
Casey Eichler, CFO
ceichler@ambarella.com
Louis Gerhardy, Corporate Development
lgerhardy@ambarella.com
1
Forward-Looking Statements
This presentation contains forward-looking statements that are subject to many risks and uncertainties. All statements made in this presentation other than statements
of historical facts are forward-looking statements, including, without limitation, statements regarding Ambarella’s strategy, future operations, financial targets, future
revenues, projected costs, prospects, plans and objectives for future operations, future product introductions, future rate of our revenue growth, the size of markets
addressed by the company's solutions and the growth rate of those markets, technology trends, our ability to address market and customer demands and to timely
develop new or enhanced solutions to meet those demands, our ability to achieve design wins, and our ability to retain and expand our customer and partner
relationships.
In some cases, you can identify forward-looking statements by terms such as "may," "will," "should," "could," "would," "expects," "plans," "anticipates," "believes,"
"estimates," "projects," "predicts," "potential," or the negative of those terms, and similar expressions and comparable terminology intended to identify forward-looking
statements. We have based forward-looking statements largely on our estimates of our financial results and our current expectations and projections about future
events, markets and financial trends that we believe may affect our financial condition, results of operations, business strategy, short term and long-term business
operations and objectives, and financial needs as of the date of this presentation. Although these forward-looking statements are based upon information available at the
time the statements are made and reflect management’s good faith beliefs, forward-looking statements inherently involve known and unknown risks, uncertainties and
other factors that may cause actual results, performance or achievements to differ materially from anticipated future results. Important factors that could cause actual
results to differ materially from expectations are disclosed in Ambarella's annual reports on Form 10-K and quarterly reports and Form 10-Q filed with the Securities and
Exchange Commission (the “SEC”), particularly in the sections titled “Risk Factors” and “Management’s Discussion and Analysis of Financial Condition and Results of
Operations.” You should not place undue reliance on forward-looking statements, which speak only as of the date on which they are made. We do not undertake to
update or revise any forward-looking statements after they are made, whether as a result of new information, future events, or otherwise, except as required by
applicable law. Moreover, we operate in a very competitive and rapidly changing environment. New risks emerge from time to time. It is not possible for management to
predict all risks, nor can we assess the impact of all factors on our business or the extent to which any factor, or combination of factors, may cause actual results to differ
materially from those contained in any forward-looking statements we may make. In light of these risks, uncertainties and assumptions, the forward-looking events and
circumstances discussed in this presentation may not occur and actual results could differ materially and adversely from those anticipated or implied in the forward-
looking statements.
Before you invest, you should read the annual and quarterly reports and other documents Ambarella has filed with the SEC for more complete information about the
company and its ordinary shares. Additional information will also be set forth in Ambarella's future quarterly and annual reports and other filings made with the SEC from
time to time. You may access these documents for free by visiting EDGAR on the SEC web site at www.sec.gov.
AMBARELLA.COM COPYRIGHT AMBARELLA 2021
2
Ambarella Overview
Ambarella is an artificial intelligence (“AI”) company
Ambarella developed over a 4 year period an AI processor architecture specifically optimized for video edge-endpoint applications.
The integration of this deep neural network AI processor with the company’s state-of-the-art video processor yields a highly optimized
computer vision (“CV”) system-on-a-chip (“SoC”).
More than $400 million cumulative investment into CV targeting automotive, security camera and other robotic applications.
CV revenue estimated to be 10% of FY2021 revenue and 25% of FY2022 revenue. Three “waves” of CV revenue anticipated;
professional security cameras (CY2020), smart home security cameras (CY2021) and automotive camera systems (CY2022-23).
Founded 2004, IPO (NASDAQ: AMBA) 2012
Focused on video applications, always with the premise that video is a special type of data requiring an optimized chip architecture.
Initially targeted human viewing applications with low-power and high-resolution SoCs for the consumer and security camera markets.
New CV SoCs enable machines to visually perceive and make decisions, enabling higher levels of automation in multiple industries.
Strong and liquid balance sheet
$423 million cash and marketable securities and no debt exiting Q3 FY2021 (October 31, 2020).
Returned $176 million to shareholders via stock repurchases in the last 4 years.
AMBARELLA.COM COPYRIGHT AMBARELLA 2021
3
Global Footprint - 766 Employees
>80% of employees are engineers and >60% of the engineers are focused on software/algorithms
180 57 188 325 5 5 6
United States Europe China Taiwan Hong Kong Korea Japan
US ODMs
Jabil VisLab
HQ Flextronics
Parma, Italy
Santa acquired 2015 Taiwan ODMs
Clara, CA Founded and incorporated majority PhDs Chicony
in Cayman Islands in 2004 Sercomm
Vivotek
LiteOn
WNC
China ODMs Ability
Goertek
Huaqin
Kenxen
Manufacturing Preferred Partner Contract Design Houses
Rhonda
Samsung Semiconductor Teknique
AMBARELLA.COM COPYRIGHT AMBARELLA 2021
4
Ambarella Addresses the Edge Endpoints of the IoT Market
Thousands of data • The foundation of the pyramid
centers
requires a fundamentally
different architecture
• Ambarella is focused on the
endpoint devices where low
Millions of network
points
power, highly efficient
processing, and low latency
are critical
• IoT endpoint market is
extremely diverse with
Billions of cameras a key sensor for
endpoint nodes
viewing and now also for data
collection
AMBARELLA.COM COPYRIGHT AMBARELLA 2021
5
Source: Omdia/IHS, 2019
Ambarella’s Computer Vision System-on-a-Chip
Leveraging 15+ Years of Video Processing Expertise with a New and
Proprietary AI Processor
Programmable Computer Vision SoC Platform
15+ years of with Optimized Coprocessor Acceleration
Video and
Image (customer or 3rd party AI application software layer)
Processing
NEW
Experience
CVflow architecture
introduced in
FY2019 after 3
years in R&D
Video Image CVflow Deep Neural Network
Compression Processing AI processor
AMBARELLA.COM COPYRIGHT AMBARELLA 2021
6
Deep Learning (e.g. Ambarella’s CVflow)
is a Powerful Subset of AI
AMBARELLA.COM COPYRIGHT AMBARELLA 2021
7
CV5 the Latest Addition to Our Scalable Visual AI Portfolio
AI in the Camera - Superior Performance per Watt and Performance per Dollar
NEW NEW
CV28 CV25 CV22 CV22FS CV2 CV2FS CV5
CV22FS CV2FS
CV28 CV25 CV22 CV2 CV5
(ASIL-B) (ASIL-B)
Announced Nov. 2020 Announced Jan. 2019 Announced Jan. 2018 Announced Jan. 2020 Announced Mar. 2018 Announced Jan. 2020 Announced Jan. 2021
Availability
Sampling November Mass production Mass prod. revenue Sampling August Sampling August
Mass production Sampling Q2
2020 revenue July 2019 December 2018 2020 2020
Samsung low power 10nm process Samsung 5nm
Up to 6x cameras* Up to 3x cameras*
Processing
Up to 3x cameras* Up to 2x cameras* Up to 3x cameras* Up to 14x cameras*
and stereo support and stereo support
Video
Computer Vision
5 MP sensors at 30 8 MP sensors at 15 32 MP sensors up to
8 mega pixel (MP) sensors at 30 – 60 frames per second**
frames per second** frames per second** 60 FPS**
Processing
CVflow Deep Neural Network AI Processor (software tools port from TensorFlow, Caffe, ONNX, etc.)
AI
¼ of CV22 AI ½ of CV22 AI Baseline (Cvflow DNN AI) 4x CV22 AI 2x CV22 AI 3.5x CV22 AI
*additional cameras can be supported using external SERDES
**video processing trade-offs available between frames-per-second, resolution, and the number of cameras supported
AMBARELLA.COM COPYRIGHT AMBARELLA 2021
8
CV5 Targets Markets Include Auto, Robotics, +
Vehicles Robotics – Aerial and Terrestrial
• Multi-camera recording system for vehicle • Superior image quality for aerial videography
pre-install; record output from surround and cinematography
view, electronic mirror, front ADAS, etc.. • Multi-sensor (camera, LiDAR, TOF) support
for self-flying drones
• Aftermarket multi-camera ADAS system for • Flight control and navigation with AI: object
video telematics detection, sensor fusion, and path planning
• AI: front ADAS, driver/cargo
monitoring, BDS, driver scoring
• HDR processing on multiple feeds
• Highly efficient video encoders for
optimum storage and streaming
CV5
Sports and VR Cameras
• 8K encoding under 2W, dual 8K sensor support
• HDR for challenging lighting scenarios
• On-chip image stitching and stabilization
• AI: face tracking, time-lapse, and many more
AMBARELLA.COMCOPYRIGHT AMBARELLA 2021
9
Large and Growing SAM Driven by the Addition of “Sensing”
Applications in Addition to Traditional “Viewing” Applications
Other IoT Opportunities
$7,500 • Access Control
• Robotics • Automotive the
• Sensing Cameras largest SAM
$5,000 opportunity
Millions of $
• IoT-Security with
$2,500
the highest
Ambarella market
share
$-
FY2020 FY2021 FY2022 FY2023 FY2024 FY2025 FY2026 • IoT-Other offers
the highest CAGR
Auto IoT-Security IoT - Other
AMBARELLA.COM COPYRIGHT AMBARELLA 2021
10“Security Camera” Market Global "Security Camera" Installed Base to
Expand from Human Viewing to Machine Sensing
60%-65% fiscal 2020 total revenue 1,000
CV
“3G”
“Security camera” market transformation
750
A CV enabled camera collects and processes data for a machine’s
perception and simultaneously generates an image for human viewing Networked “2G”
500
Addressable market expands from humans to include machines
Customer software on our CV SoCs enables new data driven camera
applications and new business models for our customers 250
Source: Ambarella, IHS, Strategy Analytics, TSR
Machines can take advantage of video innovations that human eyes can’t
Analog “1G”
~900M “security camera” installed base C2020 -
2013 2014 2015 2016 2017 2018 2019 2020 2021
Installed base today is almost all human viewing (“2G” video processors)
primarily deployed for security applications
Global Security Camera Unit Shipments
The human viewing installed base is expected to continue to grow while the
300
installed base for machine perception is just beginning CV
Replacement rate estimated between 4 to 6 years
200
Annual Unit Shipments ~260 million in C2020 AMBA SAM =
CV+networked
~75% professional (enterprise and smart city) and ~25% smart home
100
“3G” CV SoCs command a ~2x ASP versus a similar 2G video processor
“1G” analog camera market expected to continue to shrink
-
2019 2021
Analog ("1G") Networked ("2G") Computer Vision ("3G")
AMBARELLA.COM COPYRIGHT AMBARELLA 2021
11Ambarella’s Global Security Camera Footprint
Enabling Most Major Enterprise, Smart City and Smart Home Camera Companies
Professional Security Home Security
Enterprise ― Retail ―Smart Cities ― ITS ― Smart Parking Home Security ― Smart Home Automation ― Delivery Services
AMBARELLA.COM COPYRIGHT AMBARELLA 2021 1Automotive Camera System Target Markets
~15%-20% fiscal 2020 total revenue
Recorders Forward- L4/L5 Part-
eMirrors In-Cabin time + Full-
Ambarella /Dataloggers Facing ADAS L2+
time
Enable Tier 1s to differentiate with combo products on 1 SoC Autonomous
2019 SAM ~$250M >$1B ~$100M ~$25M
2025 SAM $400M to $500M >$2B >2B ~$200M
New Vehicle
Penetration 2019
5% to 6% 45% to 50% ~1% ~1%Ambarella’s Global Automotive Footprint
OEM, Tier 1’s, and Tier 2’s
Computer Vision Human Viewing
(Video Processor and AI Processor “CVflow”) (Video Processor only)
AMBARELLA.COM COPYRIGHT AMBARELLA 2021
14L4/L5
Automotive Revenue Funnel L2+ Other
Won + Pipeline = Automotive Revenue Funnel eMirrors
Front
In ADAS
Cabin/
Pre-pipeline – not in the funnel
DMS
Data
Potentially indicative of future pipeline activity loggers
Customers who purchase engineering lots, evaluation hardware,
software development kits and/or development boards for automotive
applications
Pipeline – in the bidding process ~35%
Majority CV SoCs for ADAS/AD as well as video processors for human
viewing
2 discount factors: (1) probability of winning design and Pipeline
(2) confidence in customers’ revenue forecast
~$600M
Won – notified we have won design ~65% Won
Majority CV SoCs as well as video processors for human viewing
1 discount factor: confidence in customers’ revenue forecast
Automotive Revenue Funnel
Automotive revenue funnel data provided on November 23, 2020 as of October 31, 2020 Estimated Lifetime Revenue 15
AMBARELLA.COM COPYRIGHT AMBARELLA 2021Competitive Landscape is Fragmented
Ambarella’s visual AI processing expertise scales across multiple markets
Security Cameras Automotive Cameras
Forward-Facing
Professional Home Recorders eMirror In-Cabin L2+ PT/FT Autonomous
ADAS
HiSilicon (Huawei)
China only Aftermarket
Mobileye (Intel) (SW from Mobileye+SoC
from STM=“black box”) DNN begins with EyeQ5
Movidius (Intel)
(Server based
Nvidia architectures) central AI processing
NXP
Qualcomm
Renesas
SigmaStar
Texas Instruments
New DNN SoC sampling with primitive SW tools
Xilinx
PLDs utilized early in a product life cycle
(IP Cores)
Cadence, CEVA, etc. Incomplete solution
AMLogic, Fullhan, Ingenic, Will, Socionext,
(Others) (Custom ASICs)
AIT, Novatek, iCatch (Custom ASICs) (Custom ASICs)
AMBARELLA.COM COPYRIGHT AMBARELLA 2021
16“Other” Revenue – “Consumer Leisure” Exposure Should Diminish
15%-20% fiscal 2020 total revenue
~150% of Ambarella’s revenue decline between F2017 and
F2019 was driven by “Other”
C2016 C2017 C2018 C2019
Business mix shifting from consumer leisure driven markets to
(F2017) (F2018) (F2019) (F2020)
consumer durable, enterprise capital expenditure and government
driven investments focus
Security Cameras 35%-40% 45%-50% 60%-65% 60%-65%
market
focus
Auto
“Other” revenue expected to decline in dollars and as a percent of 10%-15% 10%-15% 15%-20% 15%-20%
market
______ ______ ______ ______
revenue over the next 2-3 years
focus
Subtotal 45%-55% 55%-65% 75%-85% 75%-85%
market
With a few exceptions, computer vision is not critical to “Other”
Other 50%-55% 35%-40% 15%-20% 15%-20% non focus
Some segments such as police body cameras and commercial
drones are expected to adopt CV and remain attractive but relatively
small market opportunities Total Revenue $310 $295 $228 $229
Sports/action cameras, prosumer drones, and AR/VR markets
have not come close to achieving market growth expectations and
are relatively small opportunities
AMBARELLA.COM COPYRIGHT AMBARELLA 2021
17Emerging Opportunities
Includes home, enterprise and public applications
ID/Authentication for access control and smart lock applications
Use of biometric technology (e.g. face ID) to identify and authenticate individuals for access control in enterprise,
smart home and public applications including access control panels, smart locks and payment terminals
Low cost single-camera fusion of multiple sensors for optimal accuracy
Robotics platform announced at CES 2020
Robotic software development kit (“SDK”) is a unified software infrastructure targeting home, factory and enterprise-
class robotics for assistance, automation, cleaning, delivery, surveillance, warehouse, etc.
SDK provides access and acceleration for common robotic functions including stereo, object detection, key points
tracking, occupancy grid, visual odometry.
Sensing and counting cameras
Analyze capacity, monitor elderly, customer patterns, foot traffic, line counting, social distancing, property
management, and HVAC control for energy efficiency while maintaining privacy and not recording
Images represent potential customers and their applications AMBARELLA.COMCOPYRIGHT AMBARELLA 2021
18Ambarella CES 2021 “Better with AI”
• AMBA’s SoCs Enable New AI Applications and Make Existing Ones More Robust + Efficient
• Ambarella’s 16+ years of video processing “know how” is being successfully leveraged into the visual AI
computer vision (“CV”) market with mass production having commenced in multiple markets
• Ambarella’s differentiated CV SoCs target IoT edge endpoints and offer superior performance
• Introducing CV5 – CVflow AI + 5th Generation ISP; Supports Up to 14 Cameras
• Enables the next generation of automotive, consumer and robotic cameras with single 8K (or multiple 4K)
resolution and CVflow deep neural network AI processing
• First in a family of 5nm SoCs consumingQ3 FY2021 (October 2020) Review and Q4 Outlook
(Q3 FY2021 results and Q4 FY2021 outlook provided November 23, 2020)
Despite the turbulent environment, we are making solid progress in our multi-year transformation
AI computer vision is becoming pervasive, we are embedding it in all our new products and we have growing evidence of market acceptance
The global pandemic brings economic constraints and operational challenges which we have managed-to-date
We see a wide variety of risks outstanding, including public health and geopolitical factors (e.g. foreign policy, trade, IP matters). Risks include*:
risks associated with the COVID-19 pandemic
potential export regulations on advanced technologies
the risk customers in China continue to take actions to reduce their dependence on components they believe could be subject to new export controls,
including the creation of dual China/non-China supply chains
changes to tariffs and/or the Entity List
market share shifts between our customers
supply chain issues
Our largest competitor in the security camera SoC market, HiSilicon, a unit of Huawei, is facing headwinds of their own
Q4 FY2021 (January, 2021) Outlook
Our Q4 revenue guidance is in the range of $56.0 million to $60.0 million versus the November 22 nd consensus estimate ~$51.9 million
We anticipate Auto revenue will increase 20% on a sequential and year-over-year basis, Security is estimated to increase in the low double digits sequentially, with
Other revenue estimated to be down sequentially
We estimate Q4 non-GAAP gross margin between 59.0% to 61.0% with non-GAAP operating expense in the $31.0 to $33.0 million range
Q3 F2021 (October, 2020) Results
Revenue of $56.1 million was slightly above the high-end of our guidance range of $52.0 million to $56 million and the November 22nd consensus estimate ~$54.1
million. On a sequential basis, Auto and Other increased sequentially and Security revenue declined sequentially.
Non-GAAP gross margin was 62.7% versus the consensus estimate of 61.1%
Non-GAAP EPS were $0.09 versus the consensus estimate of $0.05
*Potential risk factors that could affect our financial results are more fully described in the documents that we file with the SEC, including annual
reports on Form 10-K and quarterly reports on Form 10-Q.
AMBARELLA.COM COPYRIGHT AMBARELLA 2021
20COPYRIGHT AMBARELLA 2021
www. ambarella.com
lgerhardy@ambarella.com
Louis Gerhardy
Corporate Development
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