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SEP: Navigating the Technology-Driven World

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SEP: Navigating the Technology-Driven World

Posted | Updated by Insights team:

Publication | Update:

Jun 2024
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Standard-Essential Patents (SEPs) is a concept arising from the interaction between patent rights, which...

Standard-Essential Patents (SEPs) is a concept arising from the interaction between patent rights, which provide exclusive use of an invention and “standards” aimed at the widespread and mandatory use of this innovation in the relevant market. Considering the upward trend in patent litigation arising from SEPs, it would be fair to say that SEP has become patent law’s new buzzword.

Licensing SEPs: FRAND Terms

Standard Developing Organisations (“SDOs”) determine the technical specifications and standards, including sets of technical specifications in a certain industry, and aim to make these standards accessible to all players in the industry. In this sense, SDOs typically publish their policies regarding intellectual property rights as part of their governing rules.

Among these policies is the identification by SDO members of patents that may be essential to the SDOs’ standards. When a member discloses that it has a patent with a potential to become a SEP, it is also asked to declare whether it will agree to license the patent on FRAND (“Fair, Reasonable, Non- Discriminatory”) terms and conditions.

The terms of FRAND declarations may vary for different SDOs and may also vary between declarants. In this regard, as their main goal is to increase the number of members and make SEPs available to as many industry players as possible, SDOs do not impose rigid policies regarding intellectual property rights on their members to encourage them to declare a greater number of patents as SEPs, advantaging the SEP holder over the party wishing to implement the standard.

SEP Licensing

The proliferation of SEPs has also seen an increase in the number of related litigations. A l t h o u g h litigants suffer from a lack of detailed and case-by-case laws governing licensing in the FRAND terms, the widely known and cited Huawei Technologies v. ZTE (C-170/13) and Nokia v. Daimler (4c O 17/19), Nokia v. Oppo (21 O 11522/21), and Sisvel Haier (K ZR 35/17) decisions and others from different jurisdictions of Germany can shed light on practice in this area.

Additionally, on 14 February 2022, the European Commission initiated a public consultation process to establish a fair and balanced licensing framework for SEPs, asking industry stakeholders to provide feedback on policy options for a sustainable, transparent, and predictable SEP licensing ecosystem.

One of the most discussed concepts in SEP is “access to all” and “license to all”, which try to answer at which point in the production supply chain to license an SEP. The “access to all” approach allows SEP holders to choose at which level of the production chain to license their patents, which is usually the end-product stage. Accordingly, a license fee is requested per end-product in which the standard is used. However, this concept is criticised by end-product manufacturers as it allows companies at different levels of the value chain to access the standard without paying a license fee. The concept of “licensing for all”, which envisages the reflection of the value of a standard on the parts of the end-product and granting FRAND licenses to parts manufacturers (or suppliers at different levels of the supply chain) instead of the end-product manufacturers, emerged due to these criticisms.

Another heated discussion in SEP cases is the interpretation of the “unwilling licensee” concept. The prevailing question is when a company using the SEPs becomes an unwilling licensee. There are many possible answers to this question, such as when the alleged infringer is aware of the SEP but continues to use the standard without a license or when the alleged infringer walks away from the licensing negotiations, although the license terms were FRAND. Within this scope, as a result of the proceedings, the standard implementer may be found to have infringed the patent and responsible for damages.

Finally, one of the most talked about topics of discussion regarding the SEP at present is the anti-suit injunctions imposed by Chinese courts, which prevent SEP proceedings from being brought in other countries. These preliminary injunction decisions prevent SEP holders from filing lawsuits in countries other than China and even prohibit the request for enforcement of injunction decisions ruled in other countries, such as Germany. Following the decisions, the European Union filed a complaint with the World Trade Organization (“WTO”) on 18 February 2022, alleging that the practices of the Chinese courts unfairly restrict patent rights and prevent fair trade in violation of TRIPS provisions. Since the consultation process between the parties through the WTO did not yield any results, the dispute was referred to arbitration and the arbitration process is currently ongoing.

Türkiye’s Position

As far as is known, Turkish courts have not yet issued a detailed decision on FRAND licenses and/or SEPs. However, on 26 December 2019, the Turkish Competition Authority (“TCA”) issued its first decision regarding SEPs in the Vestel v. Koninklijke Philips investigation (19-46/790-344). The Competition Board evaluated Vestel’s application by referring to the decisions of the European Union Commission, especially the European Union Commission’s Apple v. Motorola (AT.39985) decision and the Samsung (At.39939) decision and the European Union Court of Justice’s Huawei-ZTE decision (C-170/13). However, The Competition Board has applied the FRAND principles by interpreting them more strictly on some points in comparison to the EU jurisprudence above.

In its decision, the Competition Board concluded that Koninklijke Philips N.V abused its dominant position in the relevant TV technology market due to the provisions of the TV Patent License and Settlement Agreement signed by the parties upon a series of SEP litigations and imposed on Koninklijke Philips N.V a penalty of 0.75% of its annual gross income generated by the end of the 2018 fiscal year.

Although the annulment action filed by Koninklijke Philips NV before the administrative court against the decision of the Competition Board was accepted, the Council of State subsequently reversed the decision of the court of first instance.

The Council of State, in the reasoning of its reversal decision, analysed in particular the contractual provisions regarding the non-suitability of the invalidity of the patent as grounds and explained that the SEP user should always be free to file a lawsuit on the validity of the patent. It also stated that the patent owner’s attempt to prevent SEP user from challenging validity of a patent would constitute a breach of competition in the context of abuse of dominant position.

Increase in SEP Litigation

It appears that SEP litigations will continue to proliferate in the upcoming years. Although we see that SEP holders mostly prefer German, USA and UK courts to enforce their SEPs due to the reliability and predictability of these jurisdictions, this trend may change in the future as technology companies seek enforcement in jurisdictions used to export infringing products following an expansionary policy with the effect of globalisation and shortage crises.

Given the investments and incentives in different industries and its high market potential, Türkiye may become one of the jurisdictions where SEP cases are heard. While the Competition Board surprisingly examined the specifics of the patent law in its only case law regarding SEPs, we will be keeping a close eye on whether a case will be heard in an IP Court in Türkiye and if the courts will follow the Boards approach in dealing with FRAND terms.

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Objectives and Study Scope

This study has assimilated knowledge and insight from business and subject-matter experts, and from a broad spectrum of market initiatives. Building on this research, the objectives of this market research report is to provide actionable intelligence on opportunities alongside the market size of various segments, as well as fact-based information on key factors influencing the market- growth drivers, industry-specific challenges and other critical issues in terms of detailed analysis and impact.

The report in its entirety provides a comprehensive overview of the current global condition, as well as notable opportunities and challenges. The analysis reflects market size, latest trends, growth drivers, threats, opportunities, as well as key market segments. The study addresses market dynamics in several geographic segments along with market analysis for the current market environment and future scenario over the forecast period. The report also segments the market into various categories based on the product, end user, application, type, and region.
The report also studies various growth drivers and restraints impacting the  market, plus a comprehensive market and vendor landscape in addition to a SWOT analysis of the key players.  This analysis also examines the competitive landscape within each market. Market factors are assessed by examining barriers to entry and market opportunities. Strategies adopted by key players including recent developments, new product launches, merger and acquisitions, and other insightful updates are provided.

Research Process & Methodology

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We leverage extensive primary research, our contact database, knowledge of companies and industry relationships, patent and academic journal searches, and Institutes and University associate links to frame a strong visibility in the markets and technologies we cover.

We draw on available data sources and methods to profile developments. We use computerised data mining methods and analytical techniques, including cluster and regression modelling, to identify patterns from publicly available online information on enterprise web sites.
Historical, qualitative and quantitative information is obtained principally from confidential and proprietary sources, professional network, annual reports, investor relationship presentations, and expert interviews, about key factors, such as recent trends in industry performance and identify factors underlying those trends - drivers, restraints, opportunities, and challenges influencing the growth of the market, for both, the supply and demand sides.
In addition to our own desk research, various secondary sources, such as Hoovers, Dun & Bradstreet, Bloomberg BusinessWeek, Statista, are referred to identify key players in the industry, supply chain and market size, percentage shares, splits, and breakdowns into segments and subsegments with respect to individual growth trends, prospects, and contribution to the total market.

Research Portfolio Sources:

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  • Dun & Bradstreet: Country Reports, Country Riskline Reports, Economic Indicators 5yr Forecast, and Industry Reports

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  • Progressive Digital Media: Industry Snapshots, News, Company Profiles, Energy Business Review

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  • Technavio: Global Market Assessment Reports, Regional Market Assessment Reports, and Market Assessment Country Reports

  • The Economist Intelligence Unit: Country Summaries, Industry Briefings, Industry Reports and Industry Statistics

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M&A and Risk Management | Regulation

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Forecast methodology

The future outlook “forecast” is based on a set of statistical methods such as regression analysis, industry specific drivers as well as analyst evaluations, as well as analysis of the trends that influence economic outcomes and business decision making.
The Global Economic Model is covering the political environment, the macroeconomic environment, market opportunities, policy towards free enterprise and competition, policy towards foreign investment, foreign trade and exchange controls, taxes, financing, the labour market and infrastructure. We aim update our market forecast to include the latest market developments and trends.

Forecasts, Data modelling and indicator normalisation

Review of independent forecasts for the main macroeconomic variables by the following organizations provide a holistic overview of the range of alternative opinions:

  • Cambridge Econometrics (CE)

  • The Centre for Economic and Business Research (CEBR)

  • Experian Economics (EE)

  • Oxford Economics (OE)

As a result, the reported forecasts derive from different forecasters and may not represent the view of any one forecaster over the whole of the forecast period. These projections provide an indication of what is, in our view most likely to happen, not what it will definitely happen.

Short- and medium-term forecasts are based on a “demand-side” forecasting framework, under the assumption that supply adjusts to meet demand either directly through changes in output or through the depletion of inventories.
Long-term projections rely on a supply-side framework, in which output is determined by the availability of labour and capital equipment and the growth in productivity.
Long-term growth prospects, are impacted by factors including the workforce capabilities, the openness of the economy to trade, the legal framework, fiscal policy, the degree of government regulation.

Direct contribution to GDP
The method for calculating the direct contribution of an industry to GDP, is to measure its ‘gross value added’ (GVA); that is, to calculate the difference between the industry’s total pre­tax revenue and its total bought­in costs (costs excluding wages and salaries).

Forecasts of GDP growth: GDP = CN+IN+GS+NEX

GDP growth estimates take into account:

  • Consumption, expressed as a function of income, wealth, prices and interest rates;

  • Investment as a function of the return on capital and changes in capacity utilization; Government spending as a function of intervention initiatives and state of the economy;

  • Net exports as a function of global economic conditions.

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Market Quantification
All relevant markets are quantified utilizing revenue figures for the forecast period. The Compound Annual Growth Rate (CAGR) within each segment is used to measure growth and to extrapolate data when figures are not publicly available.

Revenues

Our market segments reflect major categories and subcategories of the global market, followed by an analysis of statistical data covering national spending and international trade relations and patterns. Market values reflect revenues paid by the final customer / end user to vendors and service providers either directly or through distribution channels, excluding VAT. Local currencies are converted to USD using the yearly average exchange rates of local currencies to the USD for the respective year as provided by the IMF World Economic Outlook Database.

Industry Life Cycle Market Phase

Market phase is determined using factors in the Industry Life Cycle model. The adapted market phase definitions are as follows:

  • Nascent: New market need not yet determined; growth begins increasing toward end of cycle

  • Growth: Growth trajectory picks up; high growth rates

  • Mature: Typically fewer firms than growth phase, as dominant solutions continue to capture the majority of market share and market consolidation occurs, displaying lower growth rates that are typically on par with the general economy

  • Decline: Further market consolidation, rapidly declining growth rates

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The Global Economic Model
The Global Economic Model brings together macroeconomic and sectoral forecasts for quantifying the key relationships.

The model is a hybrid statistical model that uses macroeconomic variables and inter-industry linkages to forecast sectoral output. The model is used to forecast not just output, but prices, wages, employment and investment. The principal variables driving the industry model are the components of final demand, which directly or indirectly determine the demand facing each industry. However, other macroeconomic assumptions — in particular exchange rates, as well as world commodity prices — also enter into the equation, as well as other industry specific factors that have been or are expected to impact.

  • Vector Auto Regression (VAR) statistical models capturing the linear interdependencies among multiple time series, are best used for short-term forecasting, whereby shocks to demand will generate economic cycles that can be influenced by fiscal and monetary policy.

  • Dynamic-Stochastic Equilibrium (DSE) models replicate the behaviour of the economy by analyzing the interaction of economic variables, whereby output is determined by supply side factors, such as investment, demographics, labour participation and productivity.

  • Dynamic Econometric Error Correction (DEEC) modelling combines VAR and DSE models by estimating the speed at which a dependent variable returns to its equilibrium after a shock, as well as assessing the impact of a company, industry, new technology, regulation, or market change. DEEC modelling is best suited for forecasting.

Forecasts of GDP growth per capita based on these factors can then be combined with demographic projections to give forecasts for overall GDP growth.
Wherever possible, publicly available data from official sources are used for the latest available year. Qualitative indicators are normalised (on the basis of: Normalised x = (x - Min(x)) / (Max(x) - Min(x)) where Min(x) and Max(x) are, the lowest and highest values for any given indicator respectively) and then aggregated across categories to enable an overall comparison. The normalised value is then transformed into a positive number on a scale of 0 to 100. The weighting assigned to each indicator can be changed to reflect different assumptions about their relative importance.

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The principal explanatory variable in each industry’s output equation is the Total Demand variable, encompassing exogenous macroeconomic assumptions, consumer spending and investment, and intermediate demand for goods and services by sectors of the economy for use as inputs in the production of their own goods and services.

Elasticities
Elasticity measures the response of one economic variable to a change in another economic variable, whether the good or service is demanded as an input into a final product or whether it is the final product, and provides insight into the proportional impact of different economic actions and policy decisions.
Demand elasticities measure the change in the quantity demanded of a particular good or service as a result of changes to other economic variables, such as its own price, the price of competing or complementary goods and services, income levels, taxes.
Demand elasticities can be influenced by several factors. Each of these factors, along with the specific characteristics of the product, will interact to determine its overall responsiveness of demand to changes in prices and incomes.
The individual characteristics of a good or service will have an impact, but there are also a number of general factors that will typically affect the sensitivity of demand, such as the availability of substitutes, whereby the elasticity is typically higher the greater the number of available substitutes, as consumers can easily switch between different products.
The degree of necessity. Luxury products and habit forming ones, typically have a higher elasticity.
Proportion of the budget consumed by the item. Products that consume a large portion of the consumer’s budget tend to have greater elasticity.
Elasticities tend to be greater over the long run because consumers have more time to adjust their behaviour.
Finally, if the product or service is an input into a final product then the price elasticity will depend on the price elasticity of the final product, its cost share in the production costs, and the availability of substitutes for that good or service.

Prices
Prices are also forecast using an input-output framework. Input costs have two components; labour costs are driven by wages, while intermediate costs are computed as an input-output weighted aggregate of input sectors’ prices. Employment is a function of output and real sectoral wages, that are forecast as a function of whole economy growth in wages. Investment is forecast as a function of output and aggregate level business investment.

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