Us Cloud Electronic Design Automation Report

U.S. Cloud Electronic Design Automation (EDA) Market, By Type (Computer-Aided Engineering (CAE), Semiconductor Intellectual Property (SIP), Integrated Circuit (IC) Physical Design and Verification, Printed Circuit Board (PCB) and Multiple Chip Module (MCM); By Application (Military & Defense, Aerospace, Consumer Electronics, Telecom, Automotive, Industrial, and Others) Trend Analysis, Competitive Market Share & Forecast, 2017-2027
- Published Date: May 2021
- Report ID: BWC20362
- Available Format: PDF
- Page: 132
Report Overview
The U.S. Cloud EDA Market- Industry
Trends & Forecast Report 2027
The U.S. cloud electronic design automation (EDA) market was worth USD 2.0 billion in 2020. The market is further projected to reach USD 2.7 billion by 2027, at a CAGR of 5.0% during the forecast period (2021-2027). The market is supported by the increasing demand for miniature electronic devices because of the growing 3D printing industry. Additionally, the integration of advanced technology such as machine learning, and the Internet of Things in industry 4.0 techniques is propelling the U.S. cloud EDA market growth. The increasing technological advancements in the cloud EDA market is creating lucrative opportunities in the U.S. cloud EDA market.
Source: BlueWeave Consulting
U.S.
Cloud EDA Market Overview
The
U.S. cloud electronic design automation market comprises various open-source
and commercial software tools that are generally used for designing complex
electronic systems including integrated circuits (ICs) in the semiconductor
industry. By employing PaaS (Platform-as-a-service), cloud EDA software
solutions allow users to access it from anywhere, assisting enterprises in the
development and design of complicated ICs. Cloud EDA also facilitates the
development of ICs which are primarily used in various industries like
healthcare, aerospace, and transportation. Additionally, cloud EDA helps organizations
reduce the total time taken to complete
the simulation process, physical verification, fill requirements, and other
procedures allowing them to deliver their designs to market faster.
U.S. Cloud EDA
Market Trend
Growth
Drivers
Increasing
demand for miniature electronic devices owing to rising 3D printing Industry
The overall size of printed
circuit boards (PCBs) has been shrinking in tandem with the downsizing electronic
components connected to them. Moreover, the rising developments in transistor
density technologies have enabled more electronic components and devices to
shrink in size. Additionally, it provides greater functionality to newer
devices that require multiple boards in a single packaging or the simultaneous connection
of multiple devices for the smooth functioning. With the help of cloud EDA,
designers can leverage various tools for effective miniaturization, thereby
reducing the developmental costs of the end-product and encouraging designers
to come up with more innovative solutions to bind more components into a
confined space.
Opportunities
U.S.
Cloud EDA Market Technological Advancements
The U.S. cloud EDA companies
are increasingly leveraging analytics, machine learning, and other
technological breakthroughs to serve as an opportunity for the cloud EDA
industry. The ability to analyze the progress of a project, identify potential
resource optimization opportunities, prevent IP theft, and predicting a tape-out
schedule are some of the most pivotal factors for successful design projects
today. The standard methods could only identify problems when they become
obvious making it difficult for the companies to rectify those errors,
resulting in increased expenditures. Every day, terabytes of design change and
tool run data are generated by complex IC (Integrated Circuit) projects. Source
code edits, synthesis, verification runs, timing, place, power, and route tasks
generate terabytes of data that is leveraged by engineers in their day-to-day
activities, however, there has not been much aggregation or detailed analysis
of the aforementioned results.
U.S.
Cloud EDA Market Restraints
Vulnerability
due to Open-Source Software
Open-Source software means that
the design files and the code pertaining to the open-source hardware project
are hosted for the general public. A hardware project comprises a schematic
(diagram for an electric circuit) associated with code for a microcontroller,
printed circuit board (PCB) layout, and 3D CAD files. As a result, a large number
of people have access to all of these critical parts of open-source software
projects, making them more exposed to threats and viruses. Despite the fact
that many users leverage this access to report issues and provide suggestions
for improvements to the software, many users leverage this access to exploit
the software project’s vulnerabilities and generate errors and bugs that can infect
the hardware with malware and viruses, resulting in identity theft.
Additionally, the vulnerabilities in the parser (a software component) could
allow the user to access files without any action. Because cloud EDA is still
in its early stages of development, it poses some security problems due to its
open-source capabilities and cyber security threats.
Impact
of COVID-19 on U.S. Cloud EDA Market
The pandemic has restricted
activities for various businesses around the world. However, the system-level
design market witnessed a rise amid the pandemic. As a result of the rising
complexity of system specifications, the companies are now incorporating newer
methods for identifying design errors at an early stage of development to
ensure smooth functioning of the final product. This has driven the demand for
system-level design simulation which has become a necessity in the U.S. cloud
EDA market amid the pandemic. A system-level simulation allows the examination
of system specifications against the requirements before proceeding with the
hardware component implementations. Once incorporated in the cloud EDA, this
can help the companies to properly examine the design of semiconductor chips
used in their products and verify them before proceeding with the hardware. This
can help to cut expenses and time spent on the development of new product
designs. Furthermore, simulation aids in the reduction of effort associated with
the testing segments that are done at various phases of the design process.
U.S. Cloud EDA Market: By Type
The U.S. Cloud EDA market can be bifurcated into four types: CAE (Computer-aided engineering), SIP (semiconductor intellectual property), IC (Integrated Circuit) Physical Design and Verification, Printed Circuit Board (PCB), and Multi-Chip Module (MCM). The SIP (semiconductor intellectual property) Cloud EDA type holds the largest share in the market and it grew positively in the historical period. In the semiconductor and cloud EDA market, SIP refers to a design or verification unit pre-packed and available for licensing. Semiconductor IP (SIP) are generally interchangeable with the terms, IP cores or IP blocks. IP is critical for development of large and complex devices as it’s not possible for one company to produce all of the IP blocks necessary for these devices.
Source: BlueWeave Consulting
U.S.
Cloud EDA Market: By Application
Based on the application, the
U.S. cloud EDA market is bifurcated into Military/Defense, Aerospace, Telecom,
Automotive, Industrial, Consumer Electronics, and others. Among these, the
consumer electronics segment held the largest share in the market in 2020. In
contrast to this, the telecommunication segment is expected to register the
highest growth rate in the forecast period, with a healthy CAGR. With the
rising demand for internet around the world, the 5G network is expected to
witness a boom in the upcoming years, thereby suggesting a higher growth rate
for the telecommunication segment.
Competitive Landscape of U.S. Cloud EDA Market
The U.S. Cloud EDA software market is highly
competitive with the presence of top players in the market. The key players in
the U.S. cloud EDA market are Agilent Technologies Inc., Agnisys Inc., Aldec,
Inc., Altium Ltd., Ansys Inc., Cadence Design System, Inc., Infineon
Technologies AG (Infineon Technologies Americas Corp.), Altair Engineering
Inc., Keysight Technologies, Inc., Siemens EDA, Autodesk Inc., Synopsys Inc.,
Xilinx Inc., Zuken Inc., Silvaco, Inc., and other prominent players. Companies
operating in the U.S. cloud EDA market are competing against each other on the
basis of optimal security procedures for protecting intellectual property (IP)
and outstanding cloud services for improving the scalability and accessibility
of company subsidiaries across the country. Companies are also engaging in mergers
and acquisitions to gain a competitive advantage in the cloud EDA market in the
United States.
U.S.
Cloud EDA Market Recent Developments
·
In April 2021, Altium
Ltd. announced the launch of Nexar which is a cloud-based platform that has
been designed for connecting the Altium 365 PCB design users’ community and
their companies.
·
In February 2021, Ansys,
a US-based business that develops and produces multiphysics engineering
simulation software for product design, testing, and operation, announced the
debut of Moxie, which will enable engineering teams to cut development time,
increase productivity, and accelerate innovation. Engineers will be able to
execute and analyze SysML behavioral models in virtual environments using the
new solution, ensuring that these designs represent systems that meet mission
performance criteria.
Scope of the
Report
Attribute |
Details |
Years Considered |
Historical data – 2017-2020 Base Year – 2020 Forecast – 2021 –
2027 |
Facts Covered |
Revenue in USD Billion |
Product/Service Segmentation |
By type and application |
Key Players |
Key Players for the
market are Agilent
Technologies Inc., Agnisys Inc., Aldec, Inc., Altium Ltd., Ansys Inc.,
Cadence Design System, Inc., Infineon Technologies AG (Infineon Technologies
Americas Corp.), Altair Engineering Inc., Keysight Technologies, Inc.,
Siemens EDA, Autodesk Inc., Synopsys Inc., Xilinx Inc., Zuken Inc., Silvaco,
Inc, and other prominent players. |
By Type
Ø CAE
Ø SIP
Ø IC Physical Design and Verification
Ø PCB and MC
By Application
Ø Military & Defense
Ø Aerospace
Ø Consumer Electronics
Ø Telecom
Ø Automotive
Ø Industrial
Ø Others
FAQs:
1. What is the current size of the U.S. cloud EDA market?
Answer: The U.S. cloud EDA market
reached USD 2.0 million in 2020.
2. What are the major factors driving the growth of the U.S.
cloud EDA market?
Answer: The major factors driving the growth of the U.S.
cloud EDA market are increasing demand for miniature electronic devices owing
to the rising 3D printing industry and increasing adoption of SoC technology
across various applications.
3. Who are the key players in the U.S. cloud EDA market?
Answer: The key players in the U.S. cloud EDA market are
Agilent Technologies Inc., Agnisys Inc., Aldec, Inc., Altium Ltd., Ansys Inc.,
Cadence Design System, Inc., Infineon Technologies AG (Infineon Technologies
Americas Corp.), Altair Engineering Inc., Keysight Technologies, Inc., Siemens
EDA, Autodesk Inc., Synopsys Inc., Xilinx Inc., Zuken Inc., Silvaco, Inc., and
other prominent players.
4. Which type accounted for the largest share in the U.S.
cloud EDA market?
Answer: Based on type,
the SIP segment accounted for the largest share in the U.S. cloud EDA market.
5. Which application accounted for the largest share in
the U.S. cloud EDA market?
Answer: The consumer electronics application segment accounted for the largest share in the U.S. cloud EDA market.
Table of
Content
1 Executive
Summary
1.1 Market
Attractiveness Analysis
1.1.1 U.S. Cloud
Automation EDA Market, By Type
1.1.1.1 CAE (Computer
Aided Engineering)
1.1.1.2 SIP
(Semiconductor Intellectual Property)
1.1.1.3 IC
(Integrated Circuit) Physical Design and Verification
1.1.1.4 Printed
Circuit Board (PCB) and Multi-Chip Module (MCM)
1.1.2 U.S. Cloud
EDA Market, By Application
1.1.2.1 Military/Defense
1.1.2.2 Aerospace
1.1.2.3 Telecommunication
1.1.2.4 Automotive
1.1.2.5 Industrial
1.1.2.6 Consumer Electronics
1.1.2.7 Others
2 Market
Introduction
2.1 Definition
2.2 Scope of
the Study
2.3 Market
Structure
2.4 Key Buying
Criteria
2.4.1 Military/Defense
2.4.2 Aerospace
2.4.3 Telecommunication
2.4.4 Automotive
2.4.5 Industrial
2.4.6 Consumer
Electronics
2.4.7 Others
2.5 Macro
Factor Indicator Analysis
2.5.1 U.S. Nominal
GDP Trends, USD Trillion, (2016-2020)
2.5.2 U.S.
Government IT Spending Trends, USD Billion, (2016-2021)
2.5.3 U.S.
Military Expenditure, USD Billion, (2016-2020)
2.5.4 U.S.
Aerospace and Defense Trade Balance, USD Billion, (2015-2019)
2.5.5 U.S.
Inflation Rate, Consumer Prices (Annual %) (2015-2019)
3 Research
Methodology
3.1 Research
process
3.1.1 Research
Phases
3.1.2 Methodology
3.1.3 Split of
Primary and Secondary Research of U.S. Cloud EDA Market
3.2 Primary
Research
3.2.1 Breakdown of
Primary Research Respondents, By Industry Participants
3.3 Secondary
Research
3.4 Market
Size Estimation
3.5 Market
Breakdown & Data Triangulation
3.6 List of
Assumptions
4 Market
Dynamics
4.1 Introduction
4.2 Drivers
4.2.1 Increasing
demand for miniature electronic devices owing to rising 3D printing industry
4.2.2 Increasing
adoption of SoC technology across various applications
4.2.3 Growth in
adoption of Industry 4.0 techniques like IoT, and Machine Learning
4.2.4 Drivers
Impact Analysis
4.3 Restraints
4.3.1 Vulnerability
due to Open Source Software
4.3.2 Restraint
Impact Analysis
4.4 Opportunities
4.4.1 Technological
Advancements
4.5 Impact of
COVID on market
4.5.1 Increasing
demand for system level design simulation
4.5.2 Impact on
Cloud Market
4.5.3 Impact on
Overall Market Year-over-Year Growth from 2020-2022
5 Market
Factor Analysis
5.1 Value
Chain Analysis/Supply Chain Analysis
5.1.1 IT
Infrastructure and Prototyping
5.1.2 Platform
Support Services and System Integration
5.1.3 Regulatory
Approvals
5.1.4 Deployment
and Distribution
5.2 Porter’s
Five Forces Model
5.2.1 Bargaining
Power of Suppliers (Moderate)
5.2.2 Bargaining
Power of Buyers (Low to Moderate)
5.2.3 Threat of
New Entrants (Low to Moderate)
5.2.4 Threat of
Substitutes (Moderate)
5.2.5 Intensity of
Competitive Rivalry (Moderate to High)
6 US Cloud
Electronic Design Automation Market Estimates & Forecast, By Type
6.1 Introduction
6.2 CAE
6.3 SIP
6.4 IC
Physical Design and Verification
6.5 PCB and
MCM
7 U.S.
Cloud Electronic Design Automation Market Estimates & Forecast, By
Application
7.1 Introduction
7.2 Military/Defense
7.3 Aerospace
7.4 Telecommunication
7.5 Automotive
7.6 Consumer
Electronics
7.7 Industrial
7.8 Other
Applications
8 Competitive
Landscape
8.1 Introduction
8.2 Key
Players Market Share Analysis, 2019 (%)
8.2.1 Amazon Web
Services Inc.
8.2.2 Dell
Technologies Inc.
8.2.3 Xilinx Inc.
8.2.4 Synopsys
Inc.
8.2.5 Other Market
Players
8.3 Competitive
Benchmarking, By Operating Parameters
8.4 Competitor
Dashboard
8.5 Major
Growth Strategy in the Market
8.6 Key
Developments & Growth Strategies
8.6.1 New Product
Development
8.6.2 Merger and
Acquisitions
8.6.3 Contracts
& Agreements
8.6.4 Expansions
& Investments
8.7 Cloud
Vendors Market Share in Semiconductor Design
9 Company
Profile
9.1 AGILENT
TECHNOLOGIES INC.
9.2 Snapshot
9.3 Overview
9.4 Financial
Overview
9.5 Product
& Services Landscape
9.6 Key
Development (Merger & Acquisition and Other Strategies)
9.7 SWOT
Analysis
9.8 Key Strategies
9.9 AGNISYS
INC.
9.1 Snapshot
9.11 Overview
9.12 Product
& Services Landscape
9.13 Key
Development (Merger & Acquisition and Other Strategies)
9.14 SWOT
Analysis
9.15 Key
Strategies
9.16 ALDEC INC.
9.17 Snapshot
9.18 Overview
9.19 Product
& Services Landscape
9.2 Key
Development (Merger & Acquisition and Other Strategies)
9.21 SWOT
Analysis
9.22 ALTIUM
LIMITED
9.23 Snapshot
9.24 Overview
9.25 Financial
Overview
9.26 Product
& Services Landscape
9.27 Key
Development (Merger & Acquisition and Other Strategies)
9.28 SWOT
Analysis
9.29 Key
Strategies
9.3 ANSYS INC.
9.31 Snapshot
9.32 Overview
9.33 Financial
Overview
9.34 Product
& Services Landscape
9.35 Key
Development (Merger & Acquisition and Other Strategies)
9.36 SWOT
Analysis
9.37 Key Strategies
9.38 CADENCE
DESIGN SYSTEMS, INC.
9.39 Snapshot
9.4 Overview
9.41 Financial
Overview
9.42 Product
& Services Landscape
9.43 Key
Development (Merger & Acquisition and Other Strategies)
9.44 SWOT
Analysis
9.45 Key
Strategies
9.46 INFINEON
TECHNOLOGIES AG
9.47 Snapshot
9.48 Overview
9.49 Financial
Overview
9.5 Product
& Services Landscape
9.51 Key
Development (Merger & Acquisition and Other Strategies)
9.52 SWOT
Analysis
9.53 Key
Strategies
9.54 ALTAIR
ENGINEERING INC.
9.55 Snapshot
9.56 Overview
9.57 Financial
Overview
9.58 Product
& Services Landscape
9.59 Key
Development (Merger & Acquisition and Other Strategies)
9.6 SWOT
Analysis
9.61 Key
Strategies
9.62 KEYSIGHT
TECHNOLOGIES, INC
9.63 Snapshot
9.64 Overview
9.65 Financial
Overview
9.66 Product
& Services Landscape
9.67 Key
Development (Merger & Acquisition and Other Strategies)
9.68 SWOT
Analysis
9.69 Key
Strategies
9.7 SIEMENS
EDA
9.71 Snapshot
9.72 Overview
9.73 Financial
Overview
9.74 Product
& Services Landscape
9.75 Key
Development (Merger & Acquisition and Other Strategies)
9.76 SWOT
Analysis
9.77 Key
Strategies
9.78 AUTODESK
INC.
9.79 Snapshot
9.8 Overview
9.81 Financial
Overview
9.82 Product
& Services Landscape
9.83 Key
Development (Merger & Acquisition and Other Strategies)
9.84 SWOT Analysis
9.85 Key
Strategies
9.86 SYNOPSYS,
INC.
9.87 Snapshot
9.88 Overview
9.89 Financial
Overview
9.9 Product
& Services Landscape
9.91 Key
Development (Merger & Acquisition and Other Strategies)
9.92 SWOT
Analysis
9.93 Key
Strategies
9.94 XILINX,
INC.
9.95 Snapshot
9.96 Overview
9.97 Financial
Overview
9.98 Product
& Services Landscape
9.99 Key
Development (Merger & Acquisition and Other Strategies)
9.1 SWOT
Analysis
9.101 Key
Strategies
9.102 ZUKEN
9.103 Snapshot
9.104 Overview
9.105 Financial
Overview
9.106 Product &
Services Landscape
9.107 Key
Development (Merger & Acquisition and Other Strategies)
9.108 SWOT Analysis
9.109 Key
Strategies
9.11 SILVACO,
INC.
9.111 Snapshot
9.112 Overview
9.113 Product &
Services Landscape
9.114 Key
Development (Merger & Acquisition and Other Strategies)
9.115 SWOT Analysis
9.116 Key
Strategies
10 EDA User
Companies’ Strategy About Introducing Public Cloud
10.1 Introduction
10.2 Objective
of using Public Cloud Instead of On-premise (or Along with On-premise)
10.2.1 Micron
Technology Inc.
10.2.2 CNEX Labs
Inc.
10.2.3 Cypress
Semiconductor Corporation
10.2.4 NVIDIA
Corporation
10.2.5 Advanced
Micro Devices, Inc. (AMD)
10.3 In Case of
Using Public Cloud Along with On-premise, the Policy of Which to Use Public
Cloud or On-premise
10.3.1 Micron
Technology Inc.
10.3.2 CNEX Labs
Inc.
10.3.3 Cypress
Semiconductor Corporation
10.3.4 NVIDIA
Corporation
10.3.5 AMD
10.4 In Case of
Using Public Cloud Along with On-premise, the Ratio of Public Cloud to
On-premise
10.4.1 Micron Technology
Inc.
10.4.2 CNEX Labs
Inc.
10.4.3 Cypress
Semiconductor Corporation
10.4.4 NVIDIA
Corporation
10.4.5 AMD
10.5 Problems
with Introducing Public Cloud
10.5.1 Micron
Technology Inc.
10.5.2 CNEX Labs
Inc.
10.5.3 Cypress
Semiconductor Corporation
10.5.4 NVIDIA
Corporation
10.5.5 AMD
10.6 EDA User
Companies’ Application Example About Introducing or Utilizing Public Cloud
10.6.1 Micron
Technology Inc.
10.6.2 CNEX Labs
Inc.
10.6.3 Cypress
Semiconductor Corporation
10.6.4 NVIDIA
Corporation
10.6.5 AMD
Market Segmentation
By Type
Ø CAE
Ø SIP
Ø IC Physical Design and Verification
Ø PCB and MC
By Application
Ø Military & Defense
Ø Aerospace
Ø Consumer Electronics
Ø Telecom
Ø Automotive
Ø Industrial
Ø Others
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