Electronic Design Automation Market was valued at USD 26.2 billion by 2028

Electronic design automation was valued at USD 14.5 billion in 2022 and is estimated to reach

USD 26.2 billion by 2028, registering a CAGR of 9.8% during the forecast period. Electronic Design Automation (EDA) is a critical force shaping the landscape of modern electronics. It encompasses the software and tools that streamline the design process of integrated circuits (ICs) and printed circuit boards (PCBs), the building blocks of virtually every electronic device. As technology miniaturizes and functionalities become more complex, EDA tools are becoming increasingly essential. Let’s delve into the current state and projected future of the EDA market, reaching a value of USD 26.2 billion by 2028.

The Power of EDA:

Gone are the days of meticulous hand-drawn schematics and manual circuit layout. EDA tools offer a virtual design environment where engineers can create, simulate, and optimize complex electronic circuits with impressive efficiency. Some key functions of EDA tools include:

• Computer-Aided Design (CAD): Schematic capture tools allow for visual representation of circuits, while layout tools facilitate PCB design with precise component placement and routing.
• Simulation and Verification: EDA software allows virtual testing of circuits before physical prototypes are built, identifying and rectifying potential issues early in the design process.
• Design for Manufacturability (DFM) and Design for Test (DFT): EDA tools ensure designs are optimized for manufacturing efficiency and testability, saving time and resources during production.

Get more information https://www.marketsandmarkets.com/pdfdownloadNew.asp?id=55791440 

Market Growth Drivers:

The EDA market is poised for significant growth, with a projected value of USD 26.2 billion by 2028, according to MarketsandMarkets [1]. This growth can be attributed to several factors:

• Demand for Miniaturization: As devices become smaller and more powerful, the need for advanced EDA tools to manage complex chip designs intensifies.
• Rise of the Internet of Things (IoT): The proliferation of connected devices necessitates efficient design tools for low-power and resource-constrained circuits.
• Growth of Artificial Intelligence (AI): The development of AI chips requires specialized EDA tools capable of handling the intricate design requirements of these powerful processors.
• Globalization of Electronics Manufacturing: The globalized electronics industry demands geographically dispersed design teams, and EDA tools enable streamlined collaboration and design sharing.

Market Segments and Trends:

The EDA market can be segmented into various categories:

• Product Category: This includes Computer-Aided Engineering (CAE) tools, Semiconductor IP (Intellectual Property) cores, and PCB & Multi-Chip Module (MCM) design tools. Semiconductor IP is expected to hold the largest share due to the increasing demand for pre-designed circuit blocks.
• Deployment Mode: On-premises EDA tools offer full control but require significant upfront investment. Cloud-based EDA solutions provide greater flexibility and scalability but come with potential security concerns. Hybrid models combining both approaches are gaining traction.
• End-Use Application: The consumer electronics, automotive, healthcare, and aerospace & defense industries are major users of EDA tools, each with specific design needs.

The Competitive Landscape:

The EDA market is dominated by established players such as Synopsys, Cadence Design Systems, Siemens EDA (formerly Mentor Graphics), and Ansys. These companies continuously develop innovative tools to meet the evolving needs of the electronics industry. However, promising startups are also emerging, offering specialized EDA solutions and challenging the status quo.

The Future of EDA: Collaboration and Innovation

As the electronics industry continues to innovate, the future of EDA lies in collaboration and a focus on emerging technologies. Here are some potential trends to watch:

• Open-Source EDA Tools: Open-source collaboration could democratize access to EDA tools, fostering innovation and making them more accessible to smaller companies.
• Machine Learning in EDA: Integrating AI and machine learning into EDA tools can automate design tasks, optimize performance, and accelerate the design process.
• Security for Cloud-based EDA: Robust security solutions are crucial for protecting sensitive design data in the cloud-based EDA environment.

1 INTRODUCTION (Page No. — 32)

1.1 STUDY OBJECTIVES

1.2 MARKET DEFINITION

1.2.1 INCLUSIONS AND EXCLUSIONS

1.3 SCOPE

1.3.1 MARKETS COVERED

FIGURE 1 ELECTRONIC DESIGN AUTOMATION MARKET SEGMENTATION

1.3.2 YEARS CONSIDERED

1.4 CURRENCY CONSIDERED

1.5 STAKEHOLDERS

1.6 SUMMARY OF CHANGES

1.7 RECESSION ANALYSIS

FIGURE 2 GROWTH PROJECTIONS FOR ELECTRONIC DESIGN AUTOMATION MARKET

2 RESEARCH METHODOLOGY (Page No. — 38)

2.1 RESEARCH DATA

FIGURE 3 ELECTRONIC DESIGN AUTOMATION MARKET: RESEARCH DESIGN

2.1.1 SECONDARY DATA

2.1.1.1 List of key secondary sources

2.1.1.2 Key data from secondary sources

2.1.2 PRIMARY DATA

2.1.2.1 Breakdown of primaries

2.1.2.2 Key data from primary sources

2.1.2.3 Key industry insights

2.2 MARKET SIZE ESTIMATION

FIGURE 4 MARKET SIZE ESTIMATION METHODOLOGY: APPROACH 1 — TOP-DOWN (SUPPLY SIDE): REVENUES GENERATED BY COMPANIES FROM SALE OF ELECTRONIC DESIGN AUTOMATION SOLUTIONS

FIGURE 5 MARKET SIZE ESTIMATION METHODOLOGY: APPROACH 2 — TOP-DOWN (SUPPLY SIDE): ILLUSTRATION OF REVENUE ESTIMATIONS FOR ONE COMPANY IN ELECTRONIC DESIGN AUTOMATION MARKET

FIGURE 6 MARKET SIZE ESTIMATION METHODOLOGY: APPROACH 3 — BOTTOM-UP (DEMAND SIDE): DEMAND FOR ELECTRONIC DESIGN AUTOMATION SOLUTIONS AMONG DIFFERENT END USERS

2.3 MARKET SIZE FORECAST

2.3.1 BOTTOM-UP APPROACH

2.3.1.1 Approach for obtaining market share using bottom-up methodology (demand side)

FIGURE 7 MARKET SIZE ESTIMATION METHODOLOGY: BOTTOM-UP APPROACH

2.3.2 TOP-DOWN APPROACH

2.3.2.1 Approach for obtaining market share using top-down methodology (supply side)

FIGURE 8 MARKET SIZE ESTIMATION METHODOLOGY: TOP-DOWN APPROACH

2.4 MARKET BREAKDOWN AND DATA TRIANGULATION

FIGURE 9 DATA TRIANGULATION

2.5 RESEARCH ASSUMPTIONS

2.5.1 ASSUMPTIONS

2.6 RISK ASSESSMENT

TABLE 1 RISK FACTOR ANALYSIS

2.7 ASSUMPTIONS RELATED TO RECESSION

TABLE 2 ASSUMPTIONS: RECESSION

2.8 STUDY LIMITATIONS