In the technology sector, breakthrough products often receive the majority of attention. New platforms, infrastructure layers, cybersecurity systems, artificial intelligence tools, and enterprise software categories are frequently discussed in terms of technical capability, funding momentum, or product-market fit. Yet behind many of the companies that successfully move from early innovation to global adoption, there is another factor that receives far less attention: the ability to build markets before those markets fully exist.
For emerging technology companies, scaling is rarely as simple as introducing a strong product and waiting for customers to recognize its value. In many cases, the most promising businesses are entering categories where customer understanding is still developing, budgets are not yet clearly defined, internal champions are still emerging, and enterprise buyers are uncertain about how to evaluate the technology in front of them.
This is particularly true across fields such as artificial intelligence, cybersecurity, digital transformation, data infrastructure, and enterprise software, where the commercial opportunity can be enormous but the path to adoption is often complex. The companies that succeed are not merely selling technology. They are educating markets, building trust, creating operating models, hiring the right people, and proving that innovation can translate into measurable business outcomes.
Phil Duggan has spent much of his career operating in precisely that space. As a technology executive, go-to-market leader, and international market builder, Duggan has helped high-growth U.S. technology companies establish and scale operations across Europe and other international markets. His work has included leadership roles in artificial intelligence, cybersecurity, digital transformation, and data infrastructure, including serving as Vice President EMEA at Astronomer, Regional Vice President for EMEA at Udacity, and as part of the founding EMEA team at Cybereason.
For Duggan, the difference between companies that scale and companies that stall often comes down to whether leadership understands that market creation is not simply a sales function.
“Great technology alone does not build great companies,” Duggan says. “The organizations that scale most successfully are not always those with the most innovative products. They are the organizations that build strong cultures, hire exceptional people, create repeatable processes, and maintain clarity around their objectives.”
That perspective reflects a broader shift in how enterprise technology companies need to think about growth. In earlier phases, innovation may be enough to attract attention. A strong technical team, a differentiated product, or an early group of enthusiastic customers can generate momentum. But as companies attempt to expand internationally or move from early adopters into mainstream enterprise markets, the demands change.
Customers need confidence that the technology will work in their environment. Regional teams need clarity on how to communicate value. Partnerships need to be built. Hiring decisions become foundational. Processes that once lived informally inside a small founding team must become repeatable across countries, customers, and functions.
This is where many emerging technology companies struggle. They mistake early traction for scalable infrastructure.
International expansion makes this challenge even more visible. Companies often treat expansion as a geographic milestone, measured by opening a new office, hiring a country lead, or announcing availability in a new region. But in practice, international growth is an operating model challenge. Markets differ in their buying behavior, regulatory expectations, partner ecosystems, procurement processes, talent dynamics, and levels of customer education.
Europe is a useful example. While often discussed as a single commercial region, it is in reality a collection of distinct markets with different business cultures and adoption patterns. A message that resonates in the United Kingdom may need to be adapted for Germany, France, the Nordics, or Southern Europe. The challenge is not simply to replicate a successful domestic model, but to preserve strategic consistency while allowing enough local flexibility for the model to work.
“One of the biggest challenges throughout my career has been building businesses in markets where little or no commercial infrastructure previously existed,” Duggan says. “There are no established customers, teams, processes, or brand awareness. Success requires creating momentum from the ground up while navigating uncertainty and maintaining long-term conviction.”
Duggan’s career has been defined by these kinds of market-building assignments. At Astronomer, a company operating in artificial intelligence and data infrastructure, he was selected as the first employee in EMEA to establish and scale the company’s European presence. During his tenure, the company reported 122% annual recurring revenue growth in the region and expanded to more than 140 enterprise customers.
Before Astronomer, Duggan served as Regional Vice President for EMEA at Udacity, the artificial intelligence education company founded by Sebastian Thrun. There, he helped scale Udacity’s international business into the 10’s of millions USD in annual recurring revenue before its acquisition by Accenture. Earlier in his career, he was also part of the founding EMEA team at Cybereason, a cybersecurity company backed by SoftBank.
Across those roles, a recurring pattern emerges: Duggan has often been brought into companies at moments when the product had significant potential, but the market still needed to be built around it.
That distinction matters. In mature markets, companies can often compete within established categories. Buyers understand the problem, budgets exist, competitors are known, and the value proposition has already been broadly accepted. In emerging categories, the work is different. Before a company can win market share, it must help customers understand why the category matters in the first place.
This process begins with education. Enterprise customers need to understand the problem, the cost of inaction, and why existing approaches may no longer be sufficient. It then moves into validation, where companies must demonstrate measurable outcomes and prove that the technology can solve real business problems. Only then does adoption begin to broaden, eventually allowing the strongest companies to expand, standardize, and lead their categories.
Many companies focus heavily on the expansion stage while underestimating the work required to reach it. Duggan argues that sustainable growth depends on building the foundations early.
“I learned that sustainable growth is built on people, clarity, and execution,” he says. “By focusing on hiring exceptional individuals, establishing repeatable operating models, and maintaining discipline around customer outcomes, organizations can overcome uncertainty and create lasting growth.”
The emphasis on people is especially important. In new markets, the first hires often define far more than their job descriptions. They shape customer perception, establish cultural norms, influence future hiring standards, and determine how the company responds to ambiguity.
Duggan has helped build and scale teams responsible for creating more than 100 professional roles across sales, customer success, partnerships, and operational functions.
“For companies expanding internationally, this creates a critical hiring distinction. Successful international growth is often driven by strong operators who can both build and execute. While established markets benefit from operational excellence, new markets require operators who can create structure from ambiguity, educate customers, and establish scalable processes tailored to local conditions. They must be comfortable with uncertainty while maintaining the discipline needed to build repeatable success.”
The same principle applies to leadership. In fast-growing technology companies, leadership is often associated with speed, ambition, and aggressive execution. But Duggan believes clarity is just as important.
“Leadership is ultimately about creating belief,” he says. “Whether you are launching a new market, introducing a new technology, or building a new team, success depends on helping people see what is possible before the outcome is obvious.”
That idea is particularly relevant in artificial intelligence, where adoption is accelerating but many organizations are still determining how to move from experimentation to enterprise-wide implementation. AI is no longer viewed only as a futuristic technology, but its practical deployment still requires education, governance, infrastructure, talent development, and measurable business alignment.
For companies building in AI and data infrastructure, the opportunity is significant. But the winners will likely be those that can do more than present powerful technology. They will need to help customers understand use cases, manage risk, build internal confidence, and integrate new capabilities into existing workflows.
This is where the human side of technology adoption becomes decisive. Customers do not simply buy innovation. They buy confidence that a new approach can produce results, that the vendor can support them, and that the decision will withstand internal scrutiny. Market builders must therefore translate technical capability into organizational trust.
Duggan’s own outlook reflects that broader shift. In the coming years, he says he wants to continue helping innovative technology companies scale globally while continuing to contribute to the technology ecosystem through mentorship, speaking, advisory work, and leadership. He is particularly interested in helping organizations navigate the next wave of artificial intelligence adoption and ensuring that emerging technologies create meaningful business and societal impact.
That ambition aligns with a larger reality facing the technology industry. As innovation accelerates, the gap between invention and adoption may become one of the most important challenges for companies to solve. The ability to build new markets, develop talent, create operating discipline, and lead through uncertainty will increasingly separate companies that generate attention from those that create lasting impact.
The lesson is simple but often overlooked. Products may launch companies, but people build categories. For the next generation of technology businesses, the path to scale will depend not only on what they create but on whether they can build the teams, systems, and trust required to bring those ideas into the world.
