Subtopic Deep Dive

COVID-19 Effects on OTT Market Dynamics
Research Guide

What is COVID-19 Effects on OTT Market Dynamics?

"COVID-19 Effects on OTT Market Dynamics" examines how pandemic lockdowns drove surges in over-the-top (OTT) streaming subscriptions, bandwidth usage, and digital divides in legal and institutional contexts.

Researchers analyze time-series data on SVOD penetration and competitive shifts post-lockdown (Nijhawan and Dahiya, 2020; 33 citations). Studies quantify consumer adoption patterns in India amid regulatory changes (Vaidya et al., 2023; 6 citations). Empirical assessments cover industry impacts on film technicians and users (Murthy et al., 2023; 2 citations).

Curated Papers

Key Challenges

Why It Matters

Pandemic-induced data benchmarks OTT growth trajectories for forecasting in regulated markets, revealing antitrust risks from platform dominance (Nijhawan and Dahiya, 2020). Insights inform policy on digital divides and content licensing amid bandwidth strains (Vaidya et al., 2023; Murthy et al., 2023). Structural shifts guide institutional strategies for post-COVID media competition.

Key Research Challenges

Quantifying Lockdown Surges

Time-series data on subscriptions shows spikes, but isolating COVID effects from pre-trends requires causal models (Nijhawan and Dahiya, 2020). Limited longitudinal datasets hinder precise surge attribution. Bandwidth demand metrics lack standardization across regions.

Regulatory Impact Assessment

OTT acceleration raises antitrust and content licensing issues, yet few studies link dynamics to legal frameworks (Murthy et al., 2023). Institutional responses vary by jurisdiction, complicating cross-market analysis. Empirical gaps persist in technician displacement data.

Digital Divide Measurement

Pandemic widened access gaps, but surveys undermeasure rural-urban disparities in OTT adoption (Vaidya et al., 2023). Self-reported consumption patterns overlook institutional barriers like net neutrality rules. Forecasting post-COVID equity needs better econometric tools.

Essential Papers

ROLE OF COVID AS A CATALYST IN INCREASING ADOPTION OF OTTS IN INDIA: A STUDY OF EVOLVING CONSUMER CONSUMPTION PATTERNS AND FUTURE BUSINESS SCOPE

Garima Nijhawan, Surbhi Dahiya · 2020 · Journal of Content Community and Communication · 33 citations

COVID-19 is an unprecedented global pandemic which has changed the way audience consume media. An undeniable trend surfaced in this period– adoption of OTTs. There are many reports which point to t...

Adoption and Usage of Over-the-Top Entertainment Services

Himanshu Vaidya, Semila Fernandes, Rajesh Panda · 2023 · International Journal of Social Ecology and Sustainable Development · 6 citations

Over-the-top (OTT) is the name of media entertainment services delivered over the internet, bypassing traditional mediums. The consumer preference for OTT entertainment platforms is increasing at a...

The Effects of OTT Platforms on the Indian Film Industry

S V N Murthy, D R Pallavi, Kartha Sunil Shivam et al. · 2023 · REST Journal on Data Analytics and Artificial Intelligence · 2 citations

This empirical study tried to understand the effects of over-the-top (OTT) streaming platforms on the Indian film industry. The paper analyzes the impact of OTT on both users and technicians of the...

A Perception Study on Original Content vs. Licensed Content on OTT Platforms

Vipul Jadhav · 2025 · European Economic Letters (EEL) · 0 citations

In today’s digital ecosystem, the consumption of media has evolved significantly, with platforms offering both original content and licensed content to attract diverse audiences. This study explore...

Driving Cultural Hybridization: The Influence of OTT Platforms in India Creating Cultural Hybridity

Priyanka Chandrakant Lagashetti, Ravindra B Chincholkar · 2025 · Journal of Communication and Management · 0 citations

Technological advancements have spurred the rise of Over-the-Top (OTT) platforms, internet-driven media services that have surged in popularity due to their advantages over traditional media. Offer...

Transformation of Media and Entertainment Industry: Identification of Most Important Factors in OTT Consumption

Roopa Johri -, Rajeshwari Malik, N.A. Sonia · 2021 · International Journal For Multidisciplinary Research · 0 citations

Purpose: The main goal of this study is to gain insights into the OTT (over the top) landscape within the Media and Entertainment (M&E) industry, with a focus on uncovering the factors that inf...

Reading Guide

Foundational Papers

No pre-2015 foundational papers available; start with Nijhawan and Dahiya (2020) for baseline COVID catalysis data.

Recent Advances

Vaidya et al. (2023) for usage trends; Murthy et al. (2023) for industry shifts; Jadhav (2025) for content perceptions.

Core Methods

Consumer surveys, time-series regression on subscriptions, empirical assessments of technician impacts, perception studies on original vs. licensed content.

How PapersFlow Helps You Research COVID-19 Effects on OTT Market Dynamics

Discover & Search

Research Agent uses searchPapers and exaSearch to find time-series studies on OTT surges, pulling Nijhawan and Dahiya (2020) as top-cited. citationGraph maps citation networks from Vaidya et al. (2023) to related adoption papers. findSimilarPapers expands to Murthy et al. (2023) for industry effects.

Analyze & Verify

Analysis Agent applies readPaperContent to extract subscription data from Nijhawan and Dahiya (2020), then runPythonAnalysis with pandas for time-series trends and matplotlib visualizations. verifyResponse (CoVe) cross-checks claims against Vaidya et al. (2023); GRADE grading scores evidence quality on causal inference.

Synthesize & Write

Synthesis Agent detects gaps in regulatory analysis across papers, flags contradictions in adoption drivers. Writing Agent uses latexEditText and latexSyncCitations to draft sections citing Nijhawan (2020), latexCompile for PDF output, exportMermaid for market dynamic flowcharts.

Use Cases

"Analyze time-series subscription data from COVID OTT papers using Python."

Research Agent → searchPapers (Nijhawan 2020) → Analysis Agent → readPaperContent → runPythonAnalysis (pandas trend plot, matplotlib surge graph) → researcher gets CSV export of quantified lockdown spikes.

"Write LaTeX report on OTT competitive shifts post-COVID."

Synthesis Agent → gap detection (regulatory voids) → Writing Agent → latexEditText (intro/methods) → latexSyncCitations (Murthy 2023) → latexCompile → researcher gets compiled PDF with cited dynamics.

"Find code for OTT adoption models in pandemic papers."

Research Agent → paperExtractUrls → Code Discovery → paperFindGithubRepo → githubRepoInspect → researcher gets repo links with time-series scripts from similar adoption studies.

Automated Workflows

Deep Research workflow scans 50+ papers via searchPapers for systematic review of OTT surges, chaining citationGraph to Nijhawan (2020) and structured report on dynamics. DeepScan applies 7-step CoVe analysis to Vaidya et al. (2023) data with runPythonAnalysis checkpoints. Theorizer generates hypotheses on institutional shifts from Murthy et al. (2023) literature.

Try Doxa for COVID-19 Effects on OTT Market Dynamics Research

Frequently Asked Questions

What defines COVID-19 effects on OTT market dynamics?

It covers lockdown-driven surges in subscriptions and bandwidth using time-series data, evaluating SVOD penetration and competition (Nijhawan and Dahiya, 2020).

What methods dominate this subtopic?

Surveys on consumer patterns (Vaidya et al., 2023), empirical studies on industry impacts (Murthy et al., 2023), and perception analyses of content types (Jadhav, 2025).

What are key papers?

Nijhawan and Dahiya (2020; 33 citations) on adoption catalysis; Vaidya et al. (2023; 6 citations) on usage; Murthy et al. (2023; 2 citations) on film industry effects.