Tech Company Attracts Breakthrough Billion-Dollar Activist Investment

1. As of the date of this article, officers, contractors, shareholders, and/or employees of Streetwise Reports LLC (including members of their household) own securities of Intel Corp.
2. Steve Sobek wrote this article for Streetwise Reports LLC and provides services to Streetwise Reports as an employee.
3. This article does not constitute investment advice and is not a solicitation for any investment. Streetwise Reports does not render general or specific investment advice and the information on Streetwise Reports should not be considered a recommendation to buy or sell any security. Each reader is encouraged to consult with his or her personal financial adviser and perform their own comprehensive investment research. By opening this page, each reader accepts and agrees to Streetwise Reports' terms of use and full legal disclaimer. Streetwise Reports does not endorse or recommend the business, products, services or securities of any company. 

For additional disclosures, please click here.

1. Ownership and Share Structure Information

The information listed above was updated on the date this article was published and was compiled from information from the company and various other data providers.

Activist investor Elliott Investment Management has invested several billion dollars in AI engineering powerhouse Synopsys Inc. (SNPS:NASDAQ), aiming to advocate for changes within the company, sources revealed, according to a report by Bloomberg's Liana Baker and Nick Turner on March 22.

Jesse Cohn of Elliott highlighted Synopsys' pivotal role in the global semiconductor industry, alongside Cadence Design Systems, noting its advantageous position amid increasing AI-driven complexities in chip design. "Given the essential nature of its platform and these structural tailwinds, we believe there is a clear opportunity for Synopsys' financial performance to more fully reflect the value it delivers," Cohn stated.

The company, a leader in electronic design automation, has seen its revenue growth lag behind expectations, with its stock value declining by 11% this year. Despite concerns that AI advancements might undermine traditional software roles in chip design, Cadence recently introduced a new AI tool to optimize the design process, suggesting a complementary role for AI in enhancing software capabilities.

The news of Elliott's investment was first reported by the Wall Street Journal.

Co. Advances Breakthrough AI Chip Design Platform

Synopsys announced its partnership with semiconductor and software design company Arm in developing the Arm AGI CPU, utilizing a comprehensive suite of Synopsys tools across exploratory data analysis (EDA), interface IP, and hardware-assisted verification (HAV), according to a March 24 release.

Arm Executive Vice President of its Cloud AI Business Unit, Mohamed Awad, emphasized the complexity of designing silicon for AI workloads, stating, "Designing data center silicon for increasingly complex AI workloads requires rigorous validation across the full system."

He praised the collaboration, noting, "The Arm AGI CPU reflects the strength of our SoC (system on a chip) design and the effectiveness of our collaboration with Synopsys. Their design, IP, and verification solutions supported the development and validation of our breakthrough performance-per-watt chip for next-generation AI infrastructure."

Ravi Subramanian, chief product management officer at Synopsys, commended Arm's achievement: "We congratulate Arm for delivering the AGI CPU with such ambition and precision. This achievement reflects exceptional engineering discipline, and we're proud that Synopsys design, IP, and advanced verification solutions played a mission-critical role in delivering this innovation."

The collaboration focused on optimizing the AGI CPU's power, performance, and efficiency, leveraging Arm's Neoverse CSS V3. Synopsys provided a vast array of design solutions tailored for Arm-based architectures, including tools like Synopsys VCS®, Fusion Compiler™, IC Validator™, PrimeTime®, and RedHawk-SC™. These tools supported various development stages from synthesis to signoff, enhancing the workflow for creating complex, high-performance computing platforms.

Further, Synopsys' silicon-proven interface IP solutions have been instrumental in accelerating development, reducing integration risks, and streamlining the path to production, the company noted in the release. Its software-defined HAV solutions, particularly the Synopsys ZeBu® Server 5, have enabled pre-silicon software confidence and system-scale validation, ensuring functionality and power validation are achieved efficiently and on schedule.

The ongoing partnership between Synopsys and Arm continues to focus on co-optimizing IP solutions and supporting the Arm Total Design ecosystem, particularly for Neoverse Compute Subsystems (CSS). This collaboration underscores both companies' commitment to advancing custom silicon innovation and simplifying design complexities.

According to the release, Synopsys is a leading provider of engineering solutions from silicon to systems, helping customers innovate AI-powered products swiftly. The company offers top-tier silicon design, IP, simulation, analysis solutions, and design services, partnering with a broad spectrum of industries to enhance their R&D efficiency and innovation.

Synopsys Converge 2026

At Synopsys Converge 2026 in Sunnyvale, California, Synopsys Inc. unveiled a series of groundbreaking engineering solutions aimed at redefining AI-powered product innovation, according to another release on March 11.

During the event's opening keynote, Synopsys President and Chief Executive Officer Sassine Ghazi introduced the company's vision for a new silicon-to-systems design paradigm that leverages the power of AI and software to enhance the design, verification, and delivery of next-generation products. Ghazi emphasized the necessity of a novel engineering approach that integrates software and hardware co-design and utilizes digital twins and AI to speed up the development of intelligent systems.

"The complexity of next-generation intelligent systems requires a completely new engineering approach," Ghazi said, highlighting the transformative potential of these technologies in reducing time to market for R&D teams.

The keynote also spotlighted collaborations with major industry players like AMD, Intel Corp. (INTC:NASDAQ), Microsoft Corp. (MSFT:NASDAQ), and Nvidia Corp. (NVDA:NASDAQ), and announced a new initiative with AMD and Microsoft to enhance access to Synopsys EDA tools on Microsoft platforms. These partnerships underscore the collaborative efforts necessary to drive innovation in the era of pervasive intelligence, the company said.

Analyst Rates Stock Outperform

At the Synopsys Converge 2026 event in Santa Clara, Ghazi presented the vision for the first year following the merger with Ansys, positioning the company as a leader in engineering solutions from silicon to systems, according to a research note by Mizuho Analyst Siti Panigrahi on March 11.

The merger leverages Synopsys' platformization strategy alongside Ansys' renowned point tool portfolio, enhancing the combined entity's capabilities in AI infrastructure and pervasive intelligence, the notes aid. This strategic alignment is expected to significantly bolster Synopsys' competitive edge by integrating multiphysics simulation into its silicon-to-systems portfolio.

During the event, Synopsys announced the launch of its first integrated products under the new Multiphysics Fusion technology, which incorporates Ansys' advanced multiphysics engines into the Synopsys design platform. The initial offerings include solutions for timing signoff, multi-die design, design closure, and analog/mixed-signal applications, integrating electromagnetics, thermal, and mechanical analysis directly into the design process.

These products, currently in active beta testing, are expected to be available within the first half of 2026. Management highlighted a strategic shift from overdesigning to co-designing, aiming to optimize power, performance, and area (PPA) while minimizing design iterations, the analyst noted.

The introduction of these integrated products is anticipated to not only enhance product value, commanding higher average selling prices, but also to exploit Ansys' extensive customer base for potential cross-selling opportunities. This synergy could potentially generate about US$400 million in revenue by the fourth-year post-acquisition, with the possibility of exceeding US$1 billion in the longer term, Panigrahi wrote.

Additionally, Synopsys unveiled its L4 agentic AI workflow, powered by the new AgentEngineer technology. This system demonstrates significant advancements in adaptive learning and multi-agent orchestration throughout the design process, promising to double productivity and achieve up to fivefold improvements in specific instances. The agentic AI technology, supported by industry-standard SDKs and APIs, allows for extensive customization and integration, enhancing user engagement and efficiency.

The event also featured a discussion with NVIDIA CEO Jensen Huang, who emphasized the transformative potential of GPU acceleration and AI agents in boosting runtime performance and expanding the capabilities of design teams. The partnership with NVIDIA not only enhances computational efficiency but also extends the reach of the combined Synopsys-Ansys platform into new domains like reasoning robots through the development of high-fidelity digital twins.

Overall, the developments announced at Synopsys Converge 2026 reaffirm a positive outlook for the company, underlining its strategic initiatives and technological advancements in the wake of the Ansys acquisition, noted the analyst, who rated the stock Outperform with a US$600 per share price target, a nearly 39% return from the time the note was written. The integration of multiphysics capabilities and the expansion of AI-driven workflows are set to redefine industry standards, driving significant productivity gains and fostering innovation across various engineering domains.

Firm Raises Price Target

According to a February 26 research note update by Analyst Charles Shi for Needham, Synopsys Inc. recently reported strong quarterly results, surpassing consensus estimates and raising future guidance while maintaining its long-term outlook through FY26.

The company addressed the "AI disruption" concerns, emphasizing its ongoing strategy to enhance value-based sales, particularly in areas like IP monetization with hyperscalers, upselling Ansys products, leveraging GPU-based EDA, and monetizing agentic AI technologies, the analyst noted. Despite these positive developments, management expressed caution regarding the Chinese market, noting a trend of local customers favoring domestic foundries, which poses challenges for Synopsys' IP business.

Looking ahead, FY26 is seen as a transitional period, setting the stage for expected growth in FY27. The company's financial projections have been adjusted to reflect a more robust performance in the coming years, with a target price of US$580 based on updated earnings estimates. Despite a cautious stance on China, Synopsys said it remained optimistic about its strategic initiatives and maintained a Buy rating.

Shi had raised its target from US$550 per share in a note on December 11, 2025.

"Synopsys issued the first FY26 outlook that is slightly below the Street in revenue but decently above consensus in NG EPS," the note said. "The company guided F1Q26 slightly below consensus, but for an FY-end report, we think next year's guide is all that matters. We believe investors had been expecting a rocky FY guide given the typical post-M&A integration risks. SNPS guiding largely in-line and slightly better than the Street is certainly a pleasant surprise to us. By segment, in FY26, SNPS expects Ansys growth to remain in double digits, while EDA growth should stay below 10% for a third consecutive year due to overall industry-level growth deceleration, and IP growth may still be subdued due to specific foundry customer challenges. Our PT is raised to US$580."

The Catalyst: An Exploding Market

According to a report by Statifacts, the global market for AI GPUs, which are specialized hardware designed to boost AI-related tasks, was valued at US$85.63 billion in 2024. It is expected to soar to US$1.84 trillion by 2034, with a compound annual growth rate (CAGR) of 35.9%. This significant growth is attributed to the escalating need for artificial intelligence applications, machine learning, data analytics, and high-performance computing across various sectors.

In 2024, the market size was recorded at US$85.63 billion and is anticipated to increase to US$116.37 billion by 2025. By 2031, it is projected to reach US$733.11 billion, culminating in US$1.84 trillion by 2034. The period from 2025 to 2034 is set as the forecast timeframe, with 2024 as the base year for the market analysis.

AI GPUs differ from standard GPUs in their enhanced ability to manage the parallel processing demands of AI algorithms. These units are particularly effective for training neural networks, managing large data sets, and facilitating the efficient operation of AI-driven applications.

NVIDIA concluded 2025 commanding a vast majority of the discrete GPU market, with research indicating a 92% market share in the first half of the year, according to a report for CarbonCredits.com on January 6, 2026.

This statistic encompasses add-in boards for PCs and workstations, far outpacing competitors like AMD and Intel. Despite some hiccups with the launch of its Blackwell GPU, NVIDIA's dominance in gaming and AI-specific GPUs remained unchallenged. The company also introduced its Rubin data center chips, touted as being "40% more energy efficient per watt," aligning with efforts to make AI computing more sustainable.

The article details NVIDIA's strategies and developments that helped it secure and maintain such a significant market lead. It also addresses the company's approach to environmental and energy efficiency concerns, crucial in an era where GPUs, known for their high energy consumption, are under scrutiny for environmental impact. This focus on sustainability is part of NVIDIA's response to increasing environmental, social, and governance (ESG) demands within the tech industry.

Ownership and Share Structure¹

Less than 1% of the company is held by insiders and management, about 3% by strategic corporations, and about 91% by institutions. The rest is retail

Top shareholders include The Vanguard Group Inc. with 9.59%, BlackRock Institutional Trust Co. with 5.11%, State Street Investment Management with 4.59%, Capital World Investors with 3.46%, and Fidelity Management and Research Co. with 3.42%.

Its market cap is US$72.88 billion with 191.56 million shares outstanding. It trades in a 52-week range of US$365.74 and US$651.73.