ESIQ
Deep Tech
Deep TechnologyJuly 20269 min readESIQ Research

Winning Through Deep-Tech Ecosystems

The Collaborative Engine Behind Breakthrough Innovation

Authored by Shalini Bartwal | Pallavi Marape

Deep-tech ecosystems and collaborative innovation intelligence

ASML, the Dutch company behind the world’s most advanced lithography systems, demonstrates that deep-tech innovation is rarely achieved by a single organisation. Its extreme ultraviolet lithography technology emerged from decades of collaboration with ZEISS, research institutions, chipmakers, governments, and specialised suppliers.

This reflects a broader shift in innovation: breakthrough technologies now depend on ecosystems that combine science, capital, policy, and industrial expertise. Competitive advantage increasingly lies not only in technological capability, but also in the ability to build and coordinate these ecosystems.

01Key Takeaways

What this article establishes

Why ecosystems have become the new unit of competition instead of individual organizations.

How complementary players move technologies from lab to market.

The collaboration models behind the world's leading innovation hubs.

Why Singapore's ecosystem consistently outperforms expectations.

What today's leaders must rethink to compete in deep tech.

02Innovation Through Collaboration

Innovation Through Collaboration

Deep-tech breakthroughs increasingly depend on ecosystems. No single organisation - however well-resourced or technically excellent - can independently span the full journey from scientific discovery to commercial deployment. The organisations that win are those that build and lead the ecosystems others depend on.

The New Unit of Competition

ASML’s story is not about one company but about a new model of innovation. The breakthroughs defining the future of semiconductors, biotechnology, clean energy, and quantum technologies are simply too complex for any single organisation to develop, finance, manufacture, and scale alone. As a result, competitive advantage no longer belongs solely to the organisation with the strongest technology. It belongs to the ecosystem that brings together the right capabilities, at the right time, to turn scientific discovery into commercial impact. In deep tech, ecosystems have become the new unit of competition.

Scientific institutions
Universities, research labs, and national science agencies generating foundational breakthroughs and domain expertise.
Patient capital
Deep-tech venture capital, sovereign wealth funds, and corporate investors willing to sustain long development cycles.
Industrial partners
Established companies providing manufacturing infrastructure, distribution channels, and market credibility.

Collaboration as a Strategic Capability

Organisations are no longer competing solely on the strength of their internal R&D. They are competing on their ability to connect with partners who bring knowledge, talent, capital, infrastructure, and industrial expertise the organisation does not have on its own. In this environment, collaboration is not an option but a strategic capability, one that determines how fast an idea moves and how far it eventually reaches. Deep-tech innovation therefore advances through interconnected networks, where different participants contribute at different stages of the journey, rather than through isolated internal effort. Understanding this model begins with understanding the ecosystem itself, and the distinct role each participant plays, setting the stage for the discussion that follows.

03The Ecosystem in Action

The Ecosystem in Action

The most resilient deep-tech ecosystems are not assembled - they are cultivated. They grow through trust, shared risk, and relentless focus on collective value creation.

From Discovery to Deployment

An innovation ecosystem is more than a collection of organisations; it is a network of complementary capabilities working toward a shared outcome. A breakthrough typically begins with scientific research at universities and research institutions, where new knowledge and intellectual property are created. Startups transform these discoveries into working technologies through experimentation and product development, while investors provide the patient capital long development cycles require. Governments strengthen the ecosystem by funding research, backing strategic initiatives, and building regulatory pathways. As innovations mature, established corporations bring industrial expertise, manufacturing capability, global supply chains, and market access - moving technologies out of the lab and into large-scale adoption. This is the same handoff, stage by stage, that carried EUV lithography from ASML’s labs to the fabs that now depend on it.

Exhibit 1: The Deep-Tech Innovation Ecosystem - Roles Across the Innovation Journey

Exhibit 1. The Deep-Tech Innovation Ecosystem: Roles Across the Innovation Journey - deep-tech breakthroughs are the result of collaboration among diverse stakeholders, each contributing at different stages to create real-world impact.

Complementary Roles, Collective Value

These participants do not operate independently; they function as an interconnected system, where progress depends on continuous collaboration and shared resources. As Exhibit 1 shows, each stakeholder plays a distinct yet complementary role across the innovation journey, collectively forming an ecosystem more capable than any single organisation working alone. The strength of a deep-tech ecosystem lies not only in the excellence of its individual participants, but in the quality of the connections between them. These connections are what convert scientific discovery into economic value. Exhibit 1 illustrates how each participant contributes across different stages of the innovation journey, demonstrating that deep-tech breakthroughs emerge through complementary rather than isolated capabilities.

04From Collaboration to Competitive Advantage

From Collaboration to Competitive Advantage

Collaboration as a Strategic Advantage

An ecosystem creates value not simply because diverse organisations coexist, but because they combine complementary capabilities to solve problems no single organisation could address alone. In deep tech, where uncertainty is high and development cycles often extend beyond a decade, collaboration enables organisations to distribute risk, access specialised expertise, and share the substantial investment required to bring breakthrough technologies to market. This need is reflected in industry data: BCG reports that deep-tech startups require approximately 48% more funding than conventional startups by the time they reach US$5 million in revenue, underscoring why collaborative funding and partnerships are essential rather than optional.

Four models recur across the ecosystems that do this well. Corporate-startup partnerships pair a large company’s scale and market access with a startup’s speed and technical focus. Public-private R&D consortia pool government and industry funding to de-risk early-stage research that no single investor would carry alone. University technology-transfer offices convert lab-based intellectual property into licensable, investable assets. And joint ventures combine capital, manufacturing capacity, and market access to take a technology the final distance to commercial scale. Each model moves knowledge and risk between participants in a different way, which is why the strongest ecosystems tend to run several in parallel, rather than relying on just one.

Corporate-startup partnerships
Pairing a large company's scale and market access with a startup's speed and technical focus.
Public-private R&D consortia
Pooling government and industry funding to de-risk early-stage research no single investor would carry alone.
University technology transfer
Converting lab-based intellectual property into licensable, investable assets.
Joint ventures
Combining capital, manufacturing capacity, and market access to take a technology the final distance to commercial scale.
Exhibit 2: Common Capabilities Shared by High-Performing Deep-Tech Ecosystems

Exhibit 2. Capabilities that Distinguish High-Performing Deep-Tech Ecosystems - across regions, leading ecosystems excel when five core capabilities work together to turn scientific discovery into scalable impact.

05Global Deep-Tech Ecosystem Landscape

Global Deep-Tech Ecosystem Landscape

Deep-tech ecosystems have become strategic engines of innovation, industrial competitiveness, and long-term economic growth. Around the world, leading ecosystems have evolved through different institutional structures, investment models, and industrial priorities, reflecting their unique economic and technological contexts. Yet, despite these differences, they demonstrate a common principle: breakthrough innovation flourishes when research institutions, industry, investors, governments, and entrepreneurs operate as an interconnected system. Examining these regional approaches provides valuable insight into how collaboration can be translated into sustained innovation leadership.

Scale & Capital
North America
North America has developed one of the world's most mature deep-tech ecosystems by combining frontier scientific research, entrepreneurial culture, and strong venture capital markets. Universities such as MIT and Stanford, together with national laboratories, continuously generate breakthrough discoveries, while an established venture capital ecosystem provides the long-term funding needed to commercialize emerging technologies. Large technology companies reinforce this innovation cycle through strategic partnerships, corporate venture investment, and acquisitions, creating a continuous pathway from scientific discovery to global commercialization.
Policy & Mission
Europe
Europe's ecosystem is characterised by the close integration of scientific excellence, collaborative research, and advanced industrial capability. Initiatives such as Horizon Europe encourage cross-border collaboration among universities, research institutions, governments, and industry, while globally recognised companies such as ASML demonstrate how sustained investment in research can evolve into industrial leadership. Supported by strong manufacturing capabilities and long-term innovation policies, European ecosystems have built a model that emphasises transforming scientific knowledge into resilient industrial competitiveness.
Speed & Manufacturing
Asia-Pacific
Across Asia-Pacific, governments play a central role in strengthening deep-tech ecosystems through coordinated policy, long-term investment, and institutional collaboration. Economies such as Singapore, Japan, and South Korea have aligned research priorities with industrial strategy by investing in talent, research infrastructure, and technology commercialization. Institutions such as A*STAR demonstrate how governments can deliberately connect universities, startups, multinational corporations, and investors to accelerate innovation.
Capital & Diversification
Middle East
The Middle East is rapidly strengthening its deep-tech capabilities through long-term national strategies, sustained investment in research, and growing emphasis on frontier technologies. Israel has established one of the world's most research-intensive innovation ecosystems through strong university-industry collaboration, entrepreneurial activity, and sustained investment in R&D. At the same time, the UAE and Saudi Arabia are expanding their innovation ecosystems through ambitious national strategies, targeted investments in AI, advanced manufacturing, and clean technologies, and increasing collaboration with global research and industry partners.

Bringing the Landscape Together

Although these regional ecosystems differ in their development pathways, they consistently demonstrate that deep-tech leadership is built by integrating complementary capabilities rather than relying on any single strength. High-performing ecosystems connect scientific research, knowledge transfer, patient capital, coordinated institutions, and industrial scale-up to accelerate the journey from discovery to commercial impact. Exhibit 2 synthesises the five capabilities that consistently distinguish high-performing deep-tech ecosystems, demonstrating how different regional models converge on the same foundations of innovation leadership.

06Building Innovation that Lasts

Building Innovation that Lasts

Deep-tech breakthroughs may begin in laboratories, but lasting innovation is built through ecosystems. The world’s leading innovation hubs demonstrate that sustainable advantage does not come from scientific excellence, investment, or policy in isolation; it emerges when these capabilities are intentionally connected into systems that continuously generate, scale, and renew innovation. More importantly, the most successful ecosystems create a virtuous cycle in which every breakthrough attracts new talent, capital, partnerships, and investment, strengthening the ecosystem’s capacity to innovate again. Over time, the ecosystem itself becomes a strategic asset and a source of enduring competitive advantage.

For leaders, this demands a fundamental shift in perspective, moving from managing organisations to orchestrating interconnected networks. Building competitive advantage is no longer solely about strengthening internal capabilities; it is equally about creating the conditions that enable universities, startups, corporations, investors, governments, and research institutions to innovate together. Organisations that cultivate these connections will be better positioned to accelerate innovation, strengthen resilience, adapt to technological change, and capture long-term value.

Ultimately, the ecosystems that shape the future will not necessarily be those with the largest research budgets or the greatest number of startups. They will be those that continuously strengthen the connections between science, industry, capital, institutions, and talent, enabling each breakthrough to create the foundation for the next.

In deep tech, sustainable leadership is built not through isolated innovations, but through ecosystems that continuously renew their capacity to innovate.

06References

ASML Holding N.V. (2024). Annual Report 2024. asml.com

BCG & Hello Tomorrow. (2017). What Deep-Tech Startups Want from Corporate Partners. bcg.com

Boston Consulting Group (BCG). (2024). Unlocking the Full Potential of Deep Tech. bcg.com

Carl Zeiss AG. Research & Development. zeiss.com

Harvard Business Review. (2019). What an Innovation Ecosystem Actually Is. hbr.org

McKinsey & Company. (2024). European Deep Tech: What Investors and Corporations Need to Know. mckinsey.com

Organisation for Economic Co-operation and Development (OECD). (2018). Oslo Manual 2018: Guidelines for Collecting, Reporting and Using Data on Innovation (4th Edition). oecd.org

Organisation for Economic Co-operation and Development (OECD). (2024). Main Science and Technology Indicators (MSTI). oecd.org

Singapore Economic Development Board (EDB). Powering Singapore’s Innovation Economy. edb.gov.sg

Startup Genome. (2024). Global Startup Ecosystem Report 2024. startupgenome.com

United Nations Development Programme (UNDP). (2025). Global Deep Tech Ecosystems: Catalyzing Innovation for Sustainable Development. undp.org

World Bank. World Development Indicators. databank.worldbank.org

World Economic Forum (WEF). (2024). The Global Cooperation Barometer 2024. weforum.org

World Intellectual Property Organization (WIPO). (2024). Global Innovation Index 2024. wipo.int

Need clarity on a deep-tech ecosystem challenge?

Start a conversation with ESIQ about your research needs - from ecosystem mapping to competitive intelligence and market entry strategy.

Related Insights

Continue the research