Methodology

The research process begins with the collection of raw data from multiple relevant sources. These include startup and investment databases, company announcements, investor communications, official registries where relevant, and credible media reporting. Data points may relate to startup creation, funding rounds, investor activity, sector classification, geography, ecosystem milestones, and selected founder- or talent-related dynamics.

Because startup ecosystem data is rarely standardized, a major part of the methodology lies in data cleaning and normalization. This includes removing duplicate entries, reconciling conflicting figures, aligning naming conventions, standardizing categories, and clarifying whether transactions or entities meet the report's inclusion criteria. The methodology also seeks to distinguish, wherever possible, between announced activity and verifiable activity.

Cross-checking is a core element of the process. Key data points are reviewed against multiple references when available, especially in cases involving funding events, investor attribution, company location, or sector identification. Where conflicting information cannot be fully resolved, the report applies judgment based on source reliability, recency, and consistency with broader ecosystem evidence.

A meaningful assessment of Morocco's startup ecosystem must be informed not only by published data, but also by the perspectives of the people shaping and navigating it. For this reason, stakeholder consultation forms a core component of the research process.

The report incorporates input from a range of ecosystem actors, including founders, investors, public institutions, corporates, and other key stakeholders. These perspectives are gathered through interviews, written exchanges, targeted questionnaires, and validation discussions. The objective is to capture practical insight into how the ecosystem operates in practice, where its main bottlenecks lie, and which opportunities are considered most significant by those working within it.

This consultative approach is especially important in areas where public data remains incomplete. Topics such as access to capital, market readiness, public support effectiveness, ecosystem fragmentation, talent development, commercialization barriers, and regional imbalance often require interpretation that goes beyond what is formally disclosed.

As part of this consultative process, the report also included a selected set of featured interviews. The interviews featured in the report were selected based on their relevance to the ecosystem and their contribution to the report's analytical objectives.