Nepal’s political scene has entered critical phases in recent history. After massive Gen Z-led protests happened in September,  against corruption and political stagnation in September 2025, which shook the foundations of traditional governance, the existing coalition government led by the UML and Nepali Congress..

The protests were driven largely by young voters in Kathmandu  demanding transparency, accountability, and restoration of democratic processes forced by then-Prime Minister K.P. Sharma Oli resigned and led to the appointment of Sushila Karki as interim Prime Minister by President. Following this, President Ram Chandra Paudel dissolved the federal House of Representatives and announced a fresh election for Falgun 21, 2082 BS (5 March 2026). 

This sequence of political movements  has not only reshaped voter expectations but also introduced data analytics as a critical tool in making  election strategies. In a multi-party landscape where coalition dynamics determine leadership outcomes, parties are increasingly relying on data to understand voter behavior and target key demographics.

Table of Content

Who Will Be the Next Prime Minister of Nepal? How Data Analytics Is Reshaping Election Strategies

1. The New Political Landscape After the Gen Z Protests

2. Why Data Analytics Matters More Than Ever in Nepal’s Elections

What Is Data Analytics in Politics?

3. How Parties Are Using Data Analytics in the 2082  Election

Voter Segmentation

Targeted Field Campaigns

Digital Engagement

Predictive Modeling: How It Works in Nepal’s Elections

4. Case Studies: Analytics in Action Ahead of Falgun 21

Youth-Driven Messaging

Geo-Targeted Campaigning

5. Can Data Analytics Predict Nepal’s Next Prime Minister?

What Analytics Can Reveal:

6. Challenges to Using Analytics in Nepal

🔹 Data Gaps

🔹 Digital Access Divide

🔹 Cultural Context

7. The Future of Nepalese Elections

8. How PGS Data Analytics Education Prepares Students to Understand Modern Elections

Conclusion

FAQs
 

1. The New Political Landscape After the Gen Z Protests

The 2025 Gen Z protests were sparked by public outrage over corruption, social media restrictions, and governance failures. Hundreds of young  people gathered in the streets of Kathmandu,in  demanding accountability and change. The protests made Nepal a free corruption state and transparency in every sector like health education and transport in Nepal. 

In response of genz youth , President Paudel dissolved Parliament and set the date for the next general election  Falgun 21, 2082 BS (5 March 2026). This move was aimed at returning political authority to the people through democratic means and helping the nation to be stable and the agenda of gen-z or youth should be listened to and implemented in the parliamentary system. 

2. Why Data Analytics Matters More Than Ever in Nepal’s Elections

With elections less than two months away, several political parties are agreed to participate in the election and they will be on the ground to  face an electorate transformed by protest, In this environment, data analytics is no longer optional  it’s essential to know who will win and where the sentiment of people will lead to form the new government. 

What Is Data Analytics in Politics?

Data analytics  to the collection, processing, and interpretation of  data. In politics it is the interpretation of   demographics, social media engagement, historical voting patterns, and issue preferences  to gain actionable insights that improve campaign strategy and voter outreach.

In politics data analytics helps by finding what previous win candidates do for their land. It also helps to find out how they contribute to improving the lifestyle of peo[le by providing what types of employment and helps in generating income source to the people. Also , data analytics helps to measure the different types of sentiment towards the election candidate so that it also suggests which candidate will win the election.  

3. How Parties Are Using Data Analytics in the 2082  Election

Here’s how analytics is influencing strategy in Nepal:

Voter Segmentation

Rather than broad messaging, parties are segmenting voters into groups based on:

• Age : The recent protest is done by genz , major political parties are attracting them to win the election.
• Location : In the rural and urban areas political parties may use different social media comment, likes to ensure where majority of people going/
• Issue priorities Political parties may use jobs , governance , and anti corruption agenda in order to find out what really the Nepalese want ,by knowing that they will make pamphlets and posters to people to cast their votes. 

This enables tailored messaging that resonates with each group’s concerns.

Targeted Field Campaigns

Parties analyze past voting patterns and current engagement data to decide where to concentrate resources to which part of the country . Political parties can also focus on rallies in order to attract undecided voters  and door to door visits to influence the people to cast their vote for their party.

Digital Engagement

Social media platforms have become battlegrounds for public sentiment. Parties are leveraging analytics to track the currently trending issue in the country and give their voice through social media such as facebook , X and news media.f
 

Predictive Modeling: How It Works in Nepal’s Elections

Predictive modeling is a data analytics technique that uses historical data and real-time information to forecast future outcomes, and in Nepal’s elections it helps political parties make smarter, evidence-based decisions by estimating voter sentiment, likely election results, and where campaign resources should be focused. 

Predictive models identify which voter groups are likely supporters and which remain undecided, allowing parties to recalibrate strategies in real time, for example, assigning party members to launch targeted social media campaigns or organize youth-focused events if engagement among young voters in Kathmandu appears low, or shifting volunteers and outreach efforts to districts where voter interest is declining. 

4. Case Studies: Analytics in Action Ahead of Falgun 21

Youth-Driven Messaging

In response to Gen Z’s energy and demands for reform, several new political alliances are tailoring messaging to emphasize anti-corruption, job creation, and government transparency. Parties like the UML, Nepali Congress and  Rastriya Swatantra Party are positioning themselves as alternatives to traditional leadership, partly by using social media analytics to reach youth voters. 

Geo-Targeted Campaigning

Analytics help parties identify areas where they are strong , which party is ahead of them and where they need to improve, allowing them to deploy youth volunteers and resources efficiently in key constituencies.

5. Can Data Analytics Predict Nepal’s Next Prime Minister?

What Analytics Can Reveal:

Data analytics allows political analysts and parties to evaluate political party strengths and weaknesses, Nepalese voter sentiment trends, and a candidate’s past development and social reform work in a single, comprehensive view. 

By studying past election results, organizational reach, and leadership performance, analytics highlights where parties are strong and where public trust has declined. At the same time, sentiment analysis of social media, surveys, and public movements reveals growing voter frustration with traditional politics and a rising demand for transparency, accountability, and youth-focused reforms. 

When combined with data on a candidate’s previous achievements such as infrastructure development, education and health initiatives, governance reforms, and anti-corruption efforts, this approach helps predict electability more accurately by measuring not just promises, but proven impact and public perception.

What Analytics Cannot Predict

Exact election outcomes cannot be predicted as it depends on the people's sentiment.
The government is formed by a coalition of different parties so it is difficult to predict which party will get a number of seats in the election.

In Nepal’s coalition driven system, data can guide strategy but cannot fully determine who becomes Prime Minister , especially when post-election alliances play a decisive role.

6. Challenges to Using Analytics in Nepal

🔹 Data Gaps

Reliable voter data is still limited in Nepal, especially in rural and remote regions and at every election people change their mind to cast their votes for political parties.

🔹 Digital Access Divide

Not all voters are active online, only gen-z and gen-y generation are more active in social media which can skew analytics towards urban and younger demographics.

🔹 Cultural Context

People cast votes by looking at candidate cultural background so quantitative data alone may overlook cultural or community influences on voter behavior that are better understood through direct engagement.

7. The Future of Nepalese Elections

As the Falgun 21 election approaches, analytics will continue to guide how parties:

• Define campaign messages: Agenda on transparency , anti corruption will be more from all the parties of Nepal.
   
• Target key voter segments: Will parties go to attract the gen z ?
   
• Respond to emerging trends

But analytics must be paired with on-ground insights and robust political engagement to create meaningful change.

8. How PGS MBA in Data Analytics Education Prepares Students to Understand Modern Elections

In today’s world where data drives everything from election campaigns to business decisions data analytics is no longer optional; it’s a must-have skill. MBA in Data analytics plays a crucial role in understanding modern election strategies by transforming raw public and social data into meaningful insights.  

In the context of Nepal’s data  analytics courses help learners analyze publicly available data such as past election results, social media sentiment, opinion polls, demographic trends, and on-ground observations. 

These learning models allow students to explore how voter behavior changes across regions, how public sentiment evolves over time, and how undecided voter groups can be identified using data-driven methods.

Conclusion

Nepal is at a pivotal moment in its democratic journey, with changing voter expectations and a dynamic political landscape shaping the nation’s future. Data analytics is increasingly influencing how political strategies are developed, providing insights that help understand public sentiment, voter behavior, and emerging trends. While analytics cannot determine outcomes or predict leadership, it highlights patterns and priorities that can guide decision-making. The growing importance of data-driven insights also underscores the value of learning analytics skills, preparing students and professionals to engage with Nepal’s evolving political and social landscape effectively.

FAQs

Q1. Why were elections announced for Falgun 21?
Following the Gen Z protests and the resignation of the previous government, President Poudel dissolved the House and announced elections to restore democratic legitimacy. 

Q2. Do traditional parties still matter?
Yes major parties like Nepali Congress remain influential but face growing challenges from youth-focused movements and new alliances.

Q3. Can analytics predict the Prime Minister?
Analytics offers strong indicators but cannot fully determine election outcomes, especially in coalition politics.

Qn 4. Who will be going to be prime minister of Nepal after the election?

After analysing social media, people are looking for young people to become the prime minister of Nepal. But it is unsure who will be the Prime minister of Nepal.