- Nexan Insights
- Posts
- How Synopsys and Cadence Power the Semiconductor Revolution
How Synopsys and Cadence Power the Semiconductor Revolution
Exploring the competitive landscape, SaaS transition, and AI-driven growth fueling the future of chip design.
This investor-oriented table offers a detailed analysis of the EDA (Electronic Design Automation) market, highlighting the competitive landscape between Synopsys and Cadence. It focuses on key market drivers, technological advancements, revenue models, and future growth areas, including the shift to SaaS and AI-driven demand.
If you think the world of semiconductors is just about tiny transistors and complicated acronyms, well... you're absolutely right. But that’s not all it is. Let’s take a trip into the heart of the electronics universe: the magical, and slightly terrifying, world of Electronic Design Automation (EDA) tools. Imagine you're tasked with managing a tiny, incredibly complex city where everything is supposed to run smoothly—without traffic, waste, or even a kid being late to school. That’s pretty much what EDA tools do, only instead of managing a city, they design microchips that power your phone, laptop, car, and basically everything else in your life.
So, grab a coffee, buckle up, and let’s explore how companies like Synopsys and Cadence have turned this complex, geeky industry into an investor's dream.
1. EDA: Designing a New York City Inside a Thimble
To understand the role of EDA tools, picture designing New York City on a tiny island, but not just any New York City—one where there’s no traffic, every light switch turns off the moment it’s no longer needed, and power consumption is optimized at every corner. Imagine every single car, bus, and even the mice in the sewers being accounted for and positioned to perfection. That’s the level of complexity required for modern chip design, and the tools that make it happen are the EDA products offered by companies like Synopsys and Cadence.
These tools are the unseen heroes behind every major tech innovation, allowing semiconductor giants like NVIDIA and Qualcomm to design new chips faster and with greater efficiency. Think of it like a video game—Synopsys and Cadence provide the game engine, and companies like NVIDIA are creating new, mind-blowing game levels that leave everyone in awe.
Increasing chip complexity drives higher demand for EDA tools.


EDA tools: Designing microchips as complex as New York City—power, efficiency, and connectivity all compressed into silicon.

2. Why Not DIY? The Barrier to Entry in the EDA Game
So, if these EDA tools are so vital, why don’t companies like Intel or NVIDIA just build their own instead of paying Synopsys or Cadence? The answer is simple: Money and Complexity. Creating EDA tools isn’t like coding a simple mobile app. It’s a gargantuan task that requires huge R&D investments, intricate customer relationships, and an engineering team that knows this technology inside out. Imagine building a bridge without the exact blueprints—you might manage, but the chances of something going wrong are pretty high.
The former CMO of Synopsys explained it well—if a company like NVIDIA tried to develop its own EDA tools, they would have to pour billions into development, with no guarantee that it would be as effective or cost-efficient as simply licensing from existing EDA giants. The payoff just doesn’t balance out, especially when you’re racing to beat competitors to market.
R&D costs soar with internal development—licensing proves a far more cost-effective choice.

Synopsys and Cadence dominate the EDA industry, leveraging high R&D costs and strong customer relationships to maintain significant entry barriers.

3. The Shift to SaaS: From Perpetual Licenses to Cloud Convenience
In 2003, Synopsys took a leap—they moved from perpetual software licenses (where companies paid once and kept the tools forever) to a time-based model with licenses renewing every three years. This made revenue more predictable, transforming their financial model from a one-time pay-and-forget to a subscription model, which investors love because of the steady cash flow.
But that was just the beginning. Now, we’re witnessing the slow migration towards SaaS (Software as a Service). Imagine the flexibility of paying only for what you use, like renting gym equipment by the hour. Sounds great in theory, but in the semiconductor world, things get a bit trickier. SaaS for EDA is like giving engineers a limitless text messaging plan when every text used to cost $0.10—suddenly everyone is using it nonstop, and costs skyrocket.
The transition is slow because semiconductor companies want control over costs, but eventually, EDA giants will find the right balance. And when that happens, it’s another potential growth engine for Synopsys and Cadence.
SaaS adoption in the EDA industry has steadily increased, reaching 60% by 2021, highlighting the shift towards flexible, subscription-based models.

EDA licensing shifts from one-time payments to flexible SaaS models.

4. Synopsys vs. Cadence: The Tug of War Continues
Cadence and Synopsys are like two heavyweight boxers in the ring, continually sparring but never knocking each other out. Investors love it because they both keep innovating to stay ahead, which in turn strengthens their duopoly. Customers like NVIDIA or Apple, who use these tools, prefer this competitive balance—it keeps pricing in check and ensures that neither Synopsys nor Cadence becomes complacent.
Each has its strengths: Cadence excels in analog technology, while Synopsys is the go-to for Silicon IP. But fundamentally, they operate at such a similar level that companies often try to keep their business split between them, using both tools in a roughly balanced manner to avoid dependence on one single provider.
Synopsys leads the EDA market with a slight edge over Cadence.

5. The Future: From Generative AI to Automotive AI
Generative AI is reshaping the semiconductor landscape, and that means more business for EDA companies. NVIDIA’s growth may be off the charts—literally 300% in some aspects—but that growth also feeds into the ecosystem that Synopsys and Cadence operate in. Every time a new chip needs to be designed, it means another “design start” for EDA tools.
And AI isn’t stopping at GPUs or data centers; it’s moving into everything from cars to wearables. Automotive AI, in particular, is expected to be a significant growth driver in the coming years. Imagine self-driving cars needing chips that can handle more data with better energy efficiency—those chips need to be designed, and that’s where EDA tools will continue to shine.
Automotive AI leads with the highest growth rate among AI applications.

Automotive AI accelerates ahead as the fastest-growing segment among AI applications.

6. Investor Takeaway: Where to Place Your Bets
So, if you’re an investor looking at this space, where should you put your money? The former CMO of Synopsys suggested a balanced approach—split investments between Synopsys and Cadence for steady, reliable growth, and add NVIDIA to the mix if you’re looking to take on more risk and potentially higher rewards. Synopsys and Cadence might not double overnight, but their stable growth, high margins, and deep integration into the semiconductor ecosystem make them solid bets.
With the shift to SaaS, AI expansion, and the ongoing race between Cadence and Synopsys, these companies are not just players—they’re foundational to the entire semiconductor narrative. And as long as the world keeps demanding faster, smaller, and more efficient chips, the demand for EDA tools will keep growing.
Balanced investment approach: 70% in Synopsys and Cadence for stability, 30% in NVIDIA for high growth potential.

Diversified strategy: 70% in Synopsys and Cadence for long-term growth, 30% in NVIDIA for short-term high-risk investment.

7. Conclusion: Synopsys and Cadence—The Quiet Giants
While NVIDIA often steals headlines with its jaw-dropping growth, it’s the quieter giants like Synopsys and Cadence that ensure every microchip can actually be made. They are the infrastructure behind the infrastructure, the architects of the digital age. As AI evolves and the semiconductor industry adapts, these EDA giants are poised to keep growing—steadily, predictably, and profitably.
So next time you hear about a new, groundbreaking chip, remember—before there were chips, there were plans, and behind those plans, there were EDA tools making sure the New York City of transistors was built just right.

