A Multidimensional Analysis of Middle-Aged Consumers’ Apparel Demand from a Market Adaptation Perspective

With the irreversible trend of population aging, societal demographic structures are undergoing significant shifts. Contemporary society faces multiple challenges, including the erosion of demographic dividends and rising demands related to eldercare. Meanwhile, as the backbone of daily workforce activity, the middle-aged demographic leverages stable purchasing power and diverse needs to become a dominant force in the consumer market. Consequently, tapping into the middle-aged market has become a critical priority for current socio-economic development. This study adopts a market adaptation lens to examine structural contradictions in middle-aged apparel consumption: first, urgent physiological adaptation needs arise due to body shape changes, yet existing products lack sufficient standardization; second, a disconnect exists between aesthetic upgrades and supply, with consumers seeking vibrant images while market design concepts lag, and domestic brands suffer from low recognition; third, a mismatch between purchasing power and brand positioning is evident, as mainstream price points cluster in the mid-tier segment, but local premium brands exhibit weak pricing power. Based on comprehensive practical research, enterprises can optimize through multidimensional strategies to swiftly meet market demands, enhance profitability and operational efficiency, and build differentiated brand moats amid aging trends. This enables a full-spectrum value upgrade from short-term gains to long-term strategic positioning, driving higher-quality development in the middle-aged apparel market.

Authors

Institutions

Publication Details

Journal
Journal of Service Science and Management
Published
2025-01-01
DOI
https://doi.org/10.4236/jssm.2025.183014
Primary Topic
Consumer Retail Behavior Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Multidimensional Analysis of Middle-Aged Consumers’ Apparel Demand from a Market Adaptation Perspective

Wanting Wang, R. Q. Wang, Xinyi Liu, Wei He
Journal of Service Science and Management
Consumer Retail Behavior Studies
article

A Multidimensional Analysis of Middle-Aged Consumers’ Apparel Demand from a Market Adaptation Perspective

Wanting Wang, R. Q. Wang, Xinyi Liu, Wei He
article en

Abstract

With the irreversible trend of population aging, societal demographic structures are undergoing significant shifts. Contemporary society faces multiple challenges, including the erosion of demographic dividends and rising demands related to eldercare. Meanwhile, as the backbone of daily workforce activity, the middle-aged demographic leverages stable purchasing power and diverse needs to become a dominant force in the consumer market. Consequently, tapping into the middle-aged market has become a critical priority for current socio-economic development. This study adopts a market adaptation lens to examine structural contradictions in middle-aged apparel consumption: first, urgent physiological adaptation needs arise due to body shape changes, yet existing products lack sufficient standardization; second, a disconnect exists between aesthetic upgrades and supply, with consumers seeking vibrant images while market design concepts lag, and domestic brands suffer from low recognition; third, a mismatch between purchasing power and brand positioning is evident, as mainstream price points cluster in the mid-tier segment, but local premium brands exhibit weak pricing power. Based on comprehensive practical research, enterprises can optimize through multidimensional strategies to swiftly meet market demands, enhance profitability and operational efficiency, and build differentiated brand moats amid aging trends. This enables a full-spectrum value upgrade from short-term gains to long-term strategic positioning, driving higher-quality development in the middle-aged apparel market.

Journal of Service Science and ManagementVol. 18(03)
Beijing Institute of Fashion Technology (CN)
Openalex Percentile: Top 82%
Consumer Retail Behavior Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.