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The Power of Private Markets: How Private Equity and Private Credit Fuel Software Growth

November 12, 2025 4 MIN
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Private Equity’s Role in Building Durable Enterprises

The digital economy is increasingly being shaped not in public exchanges, but within the private markets. Today, roughly 96% of all software companies remain privately owned, and private capital has become the engine that funds their innovation and expansion.1

Private equity provides more than funding—it offers the strategic framework and operational partnership that allow software companies to scale responsibly. By applying repeatable best practices across go-to-market strategy, product development, and talent leadership, private equity investors help turn innovative software into enduring platforms. 

This approach contrasts with short-term growth models often seen in public markets, where quarterly performance pressures can discourage experimentation or reinvestment. In private equity, time horizons are longer, alignment is deeper, and the path to value creation is grounded in fundamentals—efficiency, governance and customer impact. 

The result is an ecosystem where innovation can compound over time, supported by patient, active ownership. 

The Rise of Private Credit in the Software Economy

As software businesses mature and financing needs evolve, credit has emerged as an important complement to equity investment. Direct lenders seek to play an increasingly strategic role in funding growth, acquisitions and recapitalizations without diluting ownership or operational control. 

We believe this evolution reflects confidence in the sector’s resilience. Recurring revenue models, strong margins, and mission-critical products make software well aligned with private credit solutions. As a result, private credit funds have become key participants in supporting liquidity and flexibility across the innovation lifecycle.

How Private Markets Drive Innovation at Scale

Beyond capital, private markets foster an environment where innovation can thrive sustainably. Long-term investors are positioned to help software companies modernize their infrastructure, adopt AI, and invest in cybersecurity and compliance. 

Moreover, by aligning investors, management and employees around shared outcomes, private ownership can cultivate a culture of continuous improvement and disciplined innovation. This alignment is increasingly valuable as companies integrate AI, automation, and analytics into their core operations. 

The Future of Private Market Leadership

As enterprise software enters its next phase, defined by AI, we believe the private markets will continue to play a defining role. Investors capable of combining discipline, foresight and operational depth will shape how this innovation is deployed and sustained. 

For long-term stewards of capital, the opportunity is clear: to build long-term value not just through ownership, but through the systems, relationships and insights that drive the digital economy forward. 

1 Vista proprietary research in collaboration with third-party independent consult, as of 09/2024.

 

Important Disclosures

This document does not constitute an offer to sell any securities or the solicitation of an offer to purchase any securities. This document discusses broad market, industry or sector trends, or other general economic, market or political conditions and should not be construed as research, investment advice, or any investment recommendation.

Statements contained in this document (including those relating to current and future market conditions and trends in respect thereof) that are not historical facts are based on current expectations, estimates, projections, targets, opinions, beliefs, and/or assumptions Vista considers reasonable. Such statements involve known and unknown risks, uncertainties and other factors, and undue reliance should not be placed thereon. In addition, no representation or warranty is made with respect to the reasonableness of any estimates, forecasts, illustrations, prospects or returns, which should be regarded as illustrative only, or that any profits will be realized. Certain information contained herein constitutes “forward-looking statements,” which can be identified by the use of terms such as “may”, “will”, “should”, “expect”, “project”, “estimate”, “intend”, “continue”, “target” or “believe” (or the negatives thereof) or other variations thereon or comparable terminology. Due to various risks and uncertainties actual events or results may differ materially from those reflected or contemplated in such forward-looking statements. No representation or warranty is made as to future performance or such forward-looking statements.

Certain information contained in this document has been obtained from published and non-published sources prepared by other parties, which in certain cases have not been updated through the date hereof. While such information is believed to be reliable, Vista does not assume any responsibility for the accuracy or completeness of such information and such information has not been independently verified by it. Except where otherwise indicated herein, the information provided in this document is based on matters as they exist as of the date of preparation of this document and not as of any future date and will not be updated or otherwise revised to reflect information that subsequently becomes available, or circumstances existing or changes occurring after the date hereof, or for any other reason.

No representation or warranty, either express or implied, is provided in relation to the accuracy or completeness of the information contained herein.

The use of artificial intelligence (“AI”) is increasing rapidly, which presents both significant opportunities for growth and competitive advantage, but also introduces substantial risks to Vista and its investments. The field of AI is characterized by rapid and ongoing technological innovation. While this presents significant opportunities for growth and competitive advantage, it also introduces a substantial risk of technological obsolescence. Even if the AI-related initiative described herein is successfully implemented, Vista could be outpaced by competitors who develop more advanced, efficient, or cost-effective technologies. Additionally, breakthroughs in areas such as quantum computing, machine learning algorithms, or data analytics could rapidly render existing technologies and business models obsolete. Accordingly, any direct or indirect investment in Artificial Intelligence carries a significant risk of depreciation due to technological obsolescence and the value of such investment could decline if the investment failed to stay at the forefront of technological advancements.

Additional important disclosures can be found here.

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