Patent Forecasting: 3 Proven Frameworks Elite Fund Managers Use to Boost Exit Multiples and Asset Valuations

Patent forecasting reveals where R&D investment is flowing before it hits the market, giving private investors a leading indicator that most funds have never used to identify acquisition targets and build asset value.

Ryan Miller BSc., MFin. | Host, Making Billions Podcast | LinkedIn

Key Takeaways

• Understand how patent forecasting functions as a leading indicator for R&D investment flows, helping fund managers and investors identify acquisition targets before market activity surfaces publicly.
• Explore why over 80% of companies globally hold intellectual property assets that are systematically undervalued because they are treated as legal obligations rather than strategic business assets.
• Learn how patent forecasting data informed the anticipated acquisition of Fitbit by Google approximately one year before the deal closed, illustrating the practical application of patent data in private market diligence.
• Discover why patentability research conducted before filing is described by Jinan Glasgow George as the single most important step to creating high-quality, defensible intangible assets that support stronger valuations.
• Consider how patent forecasting tools and free public resources such as Google Patents and USPTO.gov can be used by fund managers to conduct competitive portfolio analysis and inform investment strategy from an educational standpoint.

Patent Forecasting and the Intangible Asset Opportunity Most Fund Managers Ignore

Patent forecasting sits at the intersection of legal strategy and investment intelligence, yet the majority of institutional fund managers have never incorporated it into their diligence process. According to Jinan Glasgow George, US patent attorney and founder of NeoIP and PatentForecast.com, over 80% of companies globally carry intellectual property assets on their books that are systematically misunderstood. In this episode of Making Billions Podcast, Glasgow George explains that most executives simply route patent matters to the legal department and never examine the business value sitting inside those assets.

The core insight from this episode is that patent forecasting is not a legal exercise. It is a strategic intelligence function that can inform acquisition decisions, reveal competitive positioning, and support stronger exit multiples when a portfolio company goes to market. Glasgow George describes how she built visualization software to help CEOs and fund managers understand not only what patents they hold, but where the research and development trajectory of an entire market is heading.

For fund managers operating in private markets, where company valuations require more deliberate construction than in public markets, patent forecasting represents a category of analysis that most competitors are not running. As Glasgow George notes in the episode, patent data is a proxy for R&D investment, which means it reveals what is coming before it hits the market. According to the SEC’s guidance on intellectual property disclosure, intangible assets are a material consideration in investment analysis and corporate reporting.

How Patent Forecasting Functions as a Leading Indicator for Private Market Investors

Patent forecasting provides a category of forward-looking data that is not available through traditional financial analysis, and Glasgow George uses this distinction throughout the episode to explain why funds are increasingly incorporating it into their diligence workflows. The concept is straightforward in principle: companies must invest in patents before market activity materializes, which means the patent filing record shows where capital and innovation are being directed months or years before revenue data reflects the same trend. This is the mechanism that makes patent forecasting a genuine leading indicator.

Glasgow George illustrates this with the Apple versus Samsung litigation, noting that Apple held approximately three times the number of patents in user interface touch control compared to any competitor during the early smartphone era, and that this patent concentration corresponded with three times the profit in that category. The Apple versus Samsung litigation ultimately resolved in Apple’s favor for over one billion dollars, a figure Glasgow George references as a direct consequence of patent positioning. Fund managers studying patent forecasting data during that period would have had an early view of competitive advantage that was not yet visible in market share figures.

The Google and Motorola Mobility acquisition is another example Glasgow George uses to demonstrate patent forecasting in action. Google lacked the patent portfolio necessary to compete in the smartphone market and, according to Glasgow George, had to enter through acquisition. Google purchased Motorola Mobility for over 12.5 billion dollars in 2012, and then sold off the operating company, with the patent assets understood to be the primary motivation. Patent forecasting analysis conducted in advance of that transaction would have identified the gap in Google’s portfolio and anticipated the need to acquire. For additional context on how intellectual property drives M&A valuation, Harvard Business Review has examined how IP portfolios shape acquisition premiums.

Patent Forecasting in Practice: The Fitbit Acquisition Case Study

Patent forecasting delivered one of its most cited demonstrations of practical value in the period leading up to Google’s acquisition of Fitbit, and Glasgow George discusses this case directly in the episode. Using PatentForecast.com data, her team identified that both Google and Apple had minimal presence in the wearable device patent data set while Fitbit held a more concentrated position. That disparity in patent forecasting data signaled to Glasgow George that an acquisition was a logical outcome, and she describes calling the Fitbit acquisition approximately one year before it was announced.

This example is important for fund managers because it demonstrates how patent forecasting can be used not only to evaluate companies a fund already owns, but to identify potential acquisition targets before they become the subject of competitive bidding. A fund with access to patent forecasting data in this case would have had a structural informational advantage in evaluating Fitbit as a private target or in assessing wearable technology companies more broadly. Glasgow George frames this as the central value proposition of her platform: the data has always been publicly available, but the aggregation and visualization layer makes it actionable.

Patent forecasting of this kind is distinct from speculative analysis because it draws on a government-maintained record of filings, renewals, and competitive activity. Glasgow George notes in the episode that approximately 10 trillion dollars in new patent filings is projected annually at current rates, with about half of that volume coming from outside the United States. That scale of investment in the patent system means the data set is continuously expanding and that patent forecasting tools have an increasingly rich signal to work from. Investopedia provides a useful primer on intellectual property as an asset class for readers building foundational knowledge in this area.

The Patentability Research Framework That Supports Stronger Patent Forecasting Asset Valuations

Patent forecasting is not only a diligence tool for investors looking at other companies. It is equally applicable to the management of a fund’s existing portfolio companies, and Glasgow George spends significant time in the episode explaining the internal asset development dimension of patent strategy. Her primary recommendation is that patentability research must be conducted before any patent is filed, not after, and she describes this as the single most important step a company can take to improve the quality of its intangible asset base.

Glasgow George outlines three specific outcomes that patentability research produces before filing. First, it provides an early indication of whether a given innovation is likely to successfully clear the patent office and result in an issued patent, which she describes as a de-risking step. Second, it enables the applicant to differentiate their claims from prior art before the examiner raises objections, producing a higher quality asset with less friction in the prosecution process. Third, it makes the resulting patent more defensible against validity challenges after issuance, which is particularly important when patent assets are being scrutinized during a sale or financing round.

For fund managers who have portfolio companies with existing patent portfolios, Glasgow George’s patent forecasting framework suggests a different kind of analysis: understanding what assets the portfolio company actually holds, how those assets are positioned relative to competitive activity, and whether the current portfolio supports or undermines the valuation narrative being presented to prospective buyers or LPs. She notes in the episode that most companies, even those with portfolios of fewer than 100 assets, have leadership teams that cannot clearly articulate what their patents cover or how they can be deployed. The USPTO’s patent search resources are cited by Glasgow George as a free starting point for any organization beginning this process.

Using Patent Forecasting for Competitive Portfolio Analysis in Fund Diligence

Patent forecasting becomes a fund diligence tool when applied to the competitive environment surrounding a portfolio company or acquisition target, and Glasgow George describes this as one of the most underused applications of publicly available patent data. The insight that a company’s competitive positioning can be mapped through its patent forecasting activity gives fund managers a secondary channel of intelligence that does not depend on management disclosures or sell-side analysis. In the episode, Glasgow George explains that the companies she has worked with over more than two decades consistently underestimate how much their competitors are doing in the patent system.

The practical framework Glasgow George recommends includes a competitive patent analysis that maps the filing activity, renewal investment, and claim concentration of all material competitors in a market segment. Samsung’s annual renewal cost of 137 million dollars and its over two billion dollars in lifetime government fees, figures Glasgow George references in the episode, illustrate the scale of commitment that major players make to maintaining patent positioning. For a smaller company competing in the same market, understanding that level of incumbent investment is material to any strategic or financial assessment. Patent forecasting tools make this data accessible without requiring the kind of legal expertise that historically made this analysis expensive.

Glasgow George also discusses the Nortel case as an illustration of what happens when a large company fails to actively manage and apply its patent portfolio. Nortel sold a portfolio of telecom patents to the Rockstar Group for 4.5 billion dollars in 2011, and subsequently sold approximately 4,000 patents to RPX for close to one billion dollars. The company’s inability to manage and monetize the portfolio led to a distressed disposition of what were clearly valuable assets. For fund managers conducting diligence, patent forecasting analysis that identifies a mismatch between a target’s patent portfolio and its stated competitive moat is the kind of insight that can materially affect valuation assumptions.

How Patent Forecasting Supports Exit Multiple Construction in Private Markets

Patent forecasting has a direct application to exit planning in private markets, and this dimension of the episode is particularly relevant for fund managers who are managing the path to liquidity for existing investments. Glasgow George’s core argument is that the worst time to discover that a portfolio company’s patent assets are not where management believed them to be is during the diligence process of a sale or a financing round. At that stage, the ability to renegotiate or reposition the asset base is severely constrained, and value is lost.

The proactive approach to patent forecasting that Glasgow George advocates involves continuous monitoring of both the portfolio company’s own patent activity and the competitive environment, so that the fund has an accurate and up-to-date picture of intangible asset value at all times. This ongoing visibility is what enables a GP to construct a credible intellectual property narrative when approaching strategic acquirers or financial buyers. Glasgow George frames the patent portfolio as a component of the valuation story that needs to be built over time, not assembled at the last moment before a transaction.

For venture capital and private equity funds conducting initial diligence, Glasgow George describes patent forecasting as equivalent to running market comparables on a real estate asset. Her direct analogy from the episode is that you would never purchase a house without running comps, and a fund should not invest in a technology company without understanding where its patent assets stand relative to the competitive market. The combination of patentability research on the assets themselves and patent forecasting on the broader market context gives the fund a two-dimensional view of intellectual property value that most diligence processes do not currently include.

Free Patent Forecasting Resources Every Fund Manager Should Know

Patent forecasting does not require a significant financial commitment to begin, and Glasgow George is explicit in the episode about the free public resources available to any fund manager or entrepreneur who wants to start building this analytical capability internally. The primary resource she recommends is Google Patents, accessible at patents.google.com, where keyword searches and patent number lookups can surface a substantial amount of competitive intelligence about filing activity in any technology category. This free tool is the foundation that Glasgow George recommends before any paid platform engagement.

The USPTO’s patent search interface, available at USPTO.gov, is the second free resource Glasgow George references. She describes it as more technically demanding than Google Patents but equally valuable as a data source for any organization building a patent forecasting practice. Both platforms access the same government-maintained filing record, meaning the underlying data quality is equivalent to what commercial platforms use. The difference between the free tools and a platform like PatentForecast.com, as Glasgow George frames it in the episode, is the aggregation, visualization, and contextual analysis layer that transforms raw filing data into strategic intelligence.

Glasgow George also describes PatentForecast.com as designed specifically to address the communication gap between patent attorneys and the business executives who need to make decisions based on patent data. The visualization tools built into the platform use evolutionary biology algorithms, specifically cladistics, to map how technology and science evolve across patent filings over time. This approach to patent forecasting is intended to make the leading indicator data accessible to a C-suite or fund diligence team without requiring legal expertise. For fund managers who are not yet ready for a full platform engagement, starting with the free public tools is the entry point Glasgow George recommends in this episode.

Patent Forecasting and the Human Capital Connection in Portfolio Companies

Patent forecasting is ultimately a tool that reflects human innovation activity, and Glasgow George makes a point in the episode that is easy to overlook in a data-heavy conversation: intellectual property is created by people, not by automated systems. This observation carries significant implications for how fund managers should think about the relationship between their portfolio companies’ talent strategy and the quality of the patent assets those companies are generating. Glasgow George argues that team members who are aware of the competitive patent forecasting environment are more likely to produce differentiated innovation that results in higher quality, more defensible assets.

The competitive intelligence that patent forecasting provides is not just for executive teams making strategic decisions. Glasgow George describes cases where technology companies used patent benchmarking data to go to their boards and make the case for increased R&D budgets and patent investment. The data provided an objective external reference point that internal advocacy alone could not produce. For fund managers sitting on portfolio company boards, this suggests that patent forecasting data can be a useful input into budget and capital allocation discussions as well as exit preparation.

Glasgow George’s broader point is that most companies are operating with a significant blind spot about both their own intellectual property assets and their competitors’ patent activity, and that this blind spot has a direct and quantifiable impact on asset value. Patent forecasting is the mechanism that closes this blind spot and gives management teams and their investors a more accurate picture of where value sits and where it is being built. For fund managers, the implication is that incorporating patent forecasting into standard portfolio monitoring practice is a way to identify value creation opportunities and risk factors that are not visible in conventional financial reporting.

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The Room You Have Been Trying to Get Into

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Host, Making Billions Podcast
Founder, Fund Raise Capital
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About the Guest

Jinan Glasgow George is a US patent attorney and the founder and CEO of NeoIP and PatentForecast.com. She holds an engineering background from NC State University, where she conducted NASA Mars Mission Research Center work developing 3D composites for what ultimately became the Perseverance rover program, and she subsequently pursued patent law after work at the USPTO and in big law litigation. She launched her law practice, now NeoIP, in the late 1990s in North Carolina’s Research Triangle area, focusing on data-driven strategies to develop higher quality intellectual property assets for serial entrepreneurs and investors.

Glasgow George is the author of a book titled The IP Miracle: How to Transform Ideas into Assets That Multiply Your Business Value, and she has presented to audiences at the United Nations as well as in India, UAE, Mexico, Italy, Ghana, South Africa, New York City, San Francisco, and Chicago, among other locations. She can be reached on LinkedIn under her name, and her firm’s websites are neoipassets.com and patentforecast.com.

Topics Covered in This Article

• Patent forecasting as a leading indicator for private market investment decisions
• How patent forecasting data informed the anticipated acquisition of Fitbit by Google approximately one year in advance
• Intangible asset valuation frameworks for fund managers and portfolio companies
• Patent forecasting applications in venture capital and private equity diligence
• The Apple versus Samsung litigation and what patent concentration data revealed
• Patentability research as a framework for building higher quality intellectual property assets
• Free public resources for patent forecasting including Google Patents and USPTO.gov
• Patent forecasting and competitive portfolio analysis for identifying M&A targets
• How patent data supports exit multiple construction in private markets
• The Nortel and Motorola Mobility case studies as illustrations of patent portfolio value

Patent Forecasting Exposes the Portfolio Blind Spots That Erode Asset Value Before Exit

Patent forecasting reveals a pattern that Glasgow George has observed consistently across more than two decades of practice: most companies do not know what intellectual property assets they actually hold, and that ignorance has a direct cost when it matters most. In this episode, she describes portfolio companies with fewer than 100 patent assets whose leadership teams cannot articulate what those patents cover, how they can be deployed offensively or defensively, or how they compare to what competitors are building. This is the blind spot that patent forecasting is specifically designed to close.

Glasgow George’s recommendation in the episode is for fund managers and portfolio company executives to conduct a structured portfolio analysis that maps existing assets against the competitive patent activity in their market segment. The analysis should answer three questions: what does the company actually hold, what does that portfolio read on in terms of competitive coverage, and how does the current asset base compare to what key competitors have filed and maintained. According to Glasgow George, most organizations have never asked all three questions at the same time, which means they are making strategic and financial decisions without a complete picture of their most valuable assets.

For fund managers conducting diligence or managing active investments, patent forecasting provides the external context that makes an internal portfolio analysis meaningful. Without the competitive market data, a fund can evaluate a portfolio company’s patents in isolation but cannot assess whether those assets represent a leadership position, a parity position, or a vulnerability. The SEC’s corporate finance guidance on intangible assets underscores why accurate characterization of intellectual property is a material consideration in both investment analysis and public disclosure obligations.

Patent Forecasting as a Board-Level Intelligence Tool for Portfolio Value Creation

Patent forecasting carries implications that extend beyond diligence and into the ongoing governance of portfolio companies, and Glasgow George addresses this dimension directly in the episode. She describes cases where technology companies used patent benchmarking data derived from patent forecasting analysis to present objective external evidence to their boards in support of increased R&D investment. The data removed the subjectivity from what would otherwise have been an internal advocacy effort and replaced it with a market-referenced argument for capital allocation.

For fund managers who sit on portfolio company boards, this application of patent forecasting suggests a specific governance practice: periodically reviewing the company’s patent activity and competitive patent positioning as a standard agenda item alongside financial reporting and operational metrics. Glasgow George’s argument in the episode is that every other material asset in a company appears on a dashboard that executives and investors review regularly, and there is no principled reason why the intellectual property asset base should be treated differently. Patent forecasting tools make it possible to bring that same visibility to intangible assets without requiring the board to have legal expertise in patent prosecution.

The value creation implication is that funds which integrate patent forecasting into their portfolio monitoring practice are in a better position to identify both opportunities and risks earlier in the investment cycle, when the ability to act on that information is greatest. Glasgow George is explicit in the episode that the two worst moments to discover a patent positioning problem are when a company is preparing for a funding round and when it is entering a sale process, because at both points the window for remediation has effectively closed. According to Harvard Business Review’s research on intellectual property strategy, companies that actively manage IP portfolios as strategic assets demonstrate measurably different outcomes in competitive positioning over time.

Patent Forecasting as a Framework for Identifying M&A Targets Before the Market Does

Patent forecasting provides fund managers and corporate development teams with a methodology for identifying acquisition targets that have not yet surfaced through conventional deal flow channels, and Glasgow George positions this as one of the highest-value applications of her platform. The logic is the same logic that produced the Fitbit call approximately one year before the acquisition was announced: when a large strategic player is absent from a relevant patent data set while a smaller company holds a concentrated position, the conditions for an acquisition are structurally present. Patent forecasting makes that structural condition visible before it becomes public knowledge.

Glasgow George describes in the episode how M&A lawyers and corporate development professionals at larger companies use patent forecasting data to map the acquisition environment in a given technology category. The analysis identifies not just which companies have strong patent positions but also which categories are underserved by the major strategic players, creating what she frames as a map of likely future transactions. For private equity and venture capital funds operating in technology-adjacent sectors, this kind of forward-looking analysis is a complement to traditional deal sourcing that draws on a data source most competitors are not yet using systematically.

The practical entry point for this kind of patent forecasting work, according to Glasgow George, is the same free public infrastructure she recommends for all patent analysis: Google Patents and USPTO.gov for initial reconnaissance, followed by a platform like PatentForecast.com for the aggregation and visualization that transforms raw filing data into strategic intelligence. The competitive advantage is not in accessing data that others cannot access, because the underlying government record is public. The advantage is in organizing and interpreting the data faster and more systematically than the market currently does.

A Patent Forecasting Implementation Framework for Fund Managers Starting From Zero

Patent forecasting is most useful when it is incorporated into a structured process, and Glasgow George provides a practical implementation sequence in this episode that fund managers can treat as an educational starting point for building this capability internally. The first step she recommends is conducting a patentability analysis on any company that is under active diligence or that already sits in the portfolio, using Google Patents or USPTO.gov to establish a baseline picture of what the company holds and how those assets compare to publicly available competitive filings. This step costs nothing beyond analyst time and produces a materially more informed view of the target’s intangible asset base.

The second step in the patent forecasting framework Glasgow George describes is expanding the analysis from the portfolio company level to the market segment level, using the same public data sources to map filing activity, renewal investment, and claim concentration across the competitive set. This competitive layer is what transforms a static asset inventory into a forward-looking intelligence function, because it reveals not just where the portfolio company stands today but where the market is directing R&D investment. Glasgow George frames this market-level view as the context that gives individual asset assessments their strategic meaning, using the analogy that you would never value a house without running comparable market data.

The third step is engaging with a purpose-built patent forecasting platform to add the aggregation, visualization, and temporal analysis that free tools cannot provide at scale. Glasgow George describes PatentForecast.com’s cladistics-based visualization approach as specifically designed to make patent data legible to executives and investors who are not patent attorneys, closing the communication gap that has historically kept this category of analysis siloed inside legal departments. For fund managers who are beginning to build this competency, the foundational overview of patents on Investopedia provides accessible context on what patent assets represent legally and economically before more advanced patent forecasting analysis is undertaken.

For Fund Managers Raising $10M to $500M+

The Room You Have Been Trying to Get Into

The fund managers closing institutional LPs are not smarter than you. They are better positioned. Fund Raise Capital works exclusively with alternative asset managers who are serious about building a capital raising machine — not guessing their way through LP conversations.

This is not a course. This is not a community. This is direct access to the frameworks, relationships, and infrastructure used by fund managers operating at the highest levels of the alternative asset industry.

Ryan Miller BSc., MFin.
Host, Making Billions Podcast
Founder, Fund Raise Capital
Built for fund managers and capital raisers working in the $10M to $500M+ range.

Book Your Strategy Call →

About the Guest

Jinan Glasgow George is a US patent attorney and the founder and CEO of NeoIP and PatentForecast.com. She holds an engineering background from NC State University, where she conducted NASA Mars Mission Research Center work developing 3D composites for what ultimately became the Perseverance rover program, and she subsequently pursued patent law after work at the USPTO and in big law litigation. She launched her law practice, now NeoIP, in the late 1990s in North Carolina’s Research Triangle area, focusing on data-driven strategies to develop higher quality intellectual property assets for serial entrepreneurs and investors.

Glasgow George is the author of The IP Miracle: How to Transform Ideas into Assets That Multiply Your Business Value, and she has presented to audiences at the United Nations as well as in India, UAE, Mexico, Italy, Ghana, South Africa, New York City, San Francisco, and Chicago, among other locations. Her firm’s websites are neoipassets.com and patentforecast.com.