TECH INVESTMENT ANALYSIS
2025 Rogers Design Hackathon
Role
UI Designer
UX Researcher
Data Cleaner
Tools
VS Code
Python
Pandas
Dash
Microsoft Word
Company
RunQL
Federato
Touch Bistro
SAP
Duration
2 weeks
February 8-25 2025
2025 Rogers Design Hackathon
PART 1:
OVERVIEW
Our challenge entailed an analysis of tech investments in Canadian startups from 2019 to 2024 using data visualization, statistical modeling, and predictive analytics. We explored investor strategies, funding patterns, and market dynamics to offer insights into Canada’s tech sector. I was in charge of designing our presentation and interactive website, while also data cleaning and creating charts in minor areas.
Our findings highlight the dominance of US-based investors, with Canada as a secondary player. Investment activity varies across funding stages, with larger investments in later rounds. Key investors like BDC Capital and Y Combinator are identified, reflecting broader market and economic trends.
PART 2:
PROBLEM
The Canadian tech investment landscape has experienced significant growth, but it is marked by shifting investor behaviors, such as a decline in early-stage deals and a focus on larger, late-stage investments. This raises questions about:
PART 3:
DESIGN
PROCESS
The analysis was conducted using the following methodology:
Data Collection & Cleaning:
Datasets included company names, funding stages, investor details, and ecosystem-related data.
Data cleaning involved removing irrelevant sections, standardizing fields, and addressing missing values using Python’s Pandas library.
Exploratory Data Analysis (EDA):
Analyzed total investment growth, deal volume, and funding size.
Examined funding stage proportions, average deal sizes, and trends.
Investigated investor demographics, including country of origin and leading firms.
Identified top investment categories and regional differences.
Predictive Modeling:
Defined high-growth sectors based on investment growth (>45%) and stable deal volume.
Trained and evaluated three classification models: Random Forest, K-Nearest Neighbors (KNN), and Support Vector Machine (SVM).
Used Random Forest Regression to predict 2025 investment amounts by sector.
Validated models using k-fold cross-validation to ensure generalizability.
Insights & Recommendations:
Derived actionable insights for investors, startups, and policymakers.
Highlighted high-growth sectors and regions for targeted investment.
PART 4:
SOLUTION
The analysis revealed key findings and recommendations:
Investment Trends:
Total investment grew by 82.47%, but deal volume dropped by 54.40%, indicating a shift toward larger, late-stage investments.
The 100M+fundingcategorydominated,with100M+fundingcategorydominated,with24.9 billion invested.
Funding Stages:
Seed stage accounted for 36.34% of deals, while Series D+ represented only 1.93%.
Average deal sizes increased significantly in later stages, with Series D+ reaching $519.67 million in 2024.
Investor Demographics:
US-based investors dominated, with 1,096 firms, followed by Canada (587 firms) and the UK (580 firms).
Leading investors included BDC Capital, Y Combinator, and Techstars.
Sectoral & Regional Insights:
Top sectors: FinTech (7.4B),SaaS(7.4B),SaaS(6.5B), and AI ($4.3B).
British Columbia led in average deal size ($23.5M), driven by Cleantech and Biotech.
Predictive Insights:
High-growth sectors for 2025: AR, Cybersecurity, Foodtech, Govtech, Legaltech, Platform, Quantum, and Spacetech.
Predicted investment in AI: $770M.
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