Matchmaking - New Zealand

New Zealand

Highlights

Revenue in the Matchmaking market is projected to reach US$8.20m in 2024.
Revenue is expected to show an annual growth rate (CAGR 2024-2028) of 2.04%, resulting in a projected market volume of US$8.89m by 2028.
In the Matchmaking market, the number of users is expected to amount to 89.5k users by 2028.
User penetration will be 1.7% in 2024 and is expected to hit 1.8% by 2028.
The average revenue per user (ARPU) is expected to amount to US$99.65.
In global comparison, most revenue will be generated China (US$1.21bn in 2024).
With a projected rate of 3.8%, the user penetration in the Matchmaking market is highest South Korea.

Key regions:

Market definitionIn-Scope/Out-of-scopeMarket structureReportsMethodology

The Matchmaking market in New Zealand is experiencing significant growth and development.

Customer preferences: Customers in the Matchmaking market in New Zealand are increasingly turning to online platforms to find their perfect match. This shift towards online matchmaking is driven by the convenience and accessibility it offers. With the rise of smartphones and internet penetration, more people have access to online dating platforms, leading to a greater demand for matchmaking services. Additionally, customers are becoming more open to the idea of finding love online, as the stigma surrounding online dating continues to diminish.

Trends in the market: One trend in the Matchmaking market in New Zealand is the increasing popularity of niche dating platforms. These platforms cater to specific demographics or interests, allowing individuals to find like-minded partners. This trend is driven by the desire for more targeted matchmaking experiences, as customers seek to connect with others who share their values, hobbies, or cultural backgrounds. Niche dating platforms also provide a sense of community and belonging for users, fostering stronger connections and increasing the likelihood of successful matches. Another trend in the market is the integration of artificial intelligence (AI) and machine learning algorithms into matchmaking platforms. These technologies analyze user data and behavior to provide more accurate and personalized matches. By leveraging AI, matchmaking platforms can better understand customer preferences and make more relevant recommendations. This trend is driven by the desire for more efficient and effective matchmaking experiences, as customers seek to find compatible partners in a shorter amount of time.

Local special circumstances: New Zealand's relatively small population size and geographic isolation present unique challenges and opportunities for the Matchmaking market. With a smaller pool of potential partners, individuals in New Zealand may be more inclined to turn to matchmaking services to expand their dating options. This creates a favorable market environment for matchmaking platforms, as there is a higher demand for their services. Furthermore, New Zealand's diverse population and multicultural society contribute to the growth of the Matchmaking market. Matchmaking platforms that cater to specific cultural or ethnic groups can tap into these niche markets and provide tailored matchmaking experiences. This allows individuals to connect with others who share their cultural background, language, or traditions, increasing the chances of finding a compatible partner.

Underlying macroeconomic factors: The growing Matchmaking market in New Zealand is also influenced by underlying macroeconomic factors. The country's stable economy and high standard of living contribute to a favorable consumer environment. With disposable income and a focus on personal well-being, individuals in New Zealand are more willing to invest in matchmaking services to enhance their dating experiences. Additionally, New Zealand's tourism industry plays a role in the Matchmaking market. The country's natural beauty and unique attractions attract a significant number of international visitors each year. This influx of tourists creates opportunities for matchmaking platforms to cater to both locals and foreigners looking for romantic connections. The cross-cultural experiences facilitated by matchmaking platforms can lead to long-lasting relationships and contribute to the growth of the market. In conclusion, the Matchmaking market in New Zealand is experiencing growth and development driven by customer preferences for online platforms, the popularity of niche dating, the integration of AI, and the country's unique circumstances and macroeconomic factors. As technology continues to advance and societal attitudes towards online dating evolve, the Matchmaking market in New Zealand is expected to further expand and diversify in the coming years.

Data coverage:

The data encompasses B2C enterprises. Figures are based on Gross Merchandise Value (GMV) and represent what consumers pay for these products and services. The user metrics show the number of customers who have made at least one online purchase within the past 12 months.

Modeling approach / Market size:

Market sizes are determined through a bottom-up approach, building on predefined factors for each market segment. As a basis for evaluating markets, we use annual financial reports of the market-leading companies, third-party studies and reports, as well as survey results from our primary research (e.g., the Statista Global Consumer Survey). In addition, we use relevant key market indicators and data from country-specific associations, such as GDP, GDP per capita, and internet connection speed. This data helps us estimate the market size for each country individually.

Forecasts:

In our forecasts, we apply diverse forecasting techniques. The selection of forecasting techniques is based on the behavior of the relevant market. For example, the S-curve function and exponential trend smoothing. The main drivers are internet users, urban population, usage of key players, and attitudes toward online services.

Additional notes:

The market is updated twice a year in case market dynamics change. The impact of the COVID-19 pandemic and the Russia-Ukraine war are considered at a country-specific level. GCS data is reweighted for representativeness.