The
global market for Incontinence Care Products is projected to reach US$16.9 billion
by 2025, driven by changing mindset and the gradual breaking down of public
stigma and self-stigma associated with incontinence. As a result per capita use
of incontinence products stands at 590, 465, 110, 125, and 85 units per year in
North America, Western Europe, Eastern Europe, Latin America, and Asia
respectively. The market also stands to benefit from high decibel marketing
efforts to improve consumer awareness, developments in retail distribution
infrastructure aimed at improving consumer reach and growing prevalence of
incontinence as a result of a rapidly aging population and rise in obesity,
diabetes and other co-morbid conditions. Other factors driving adoption of
these products include increasing focus on leading active lifestyles; product
innovations that make adult diapers thinner, more absorbent and discreet; rise
of the internet in enabling unobtrusive purchases; growing popularity of reusable/washable
incontinence underwear supported by affordability and environmental benefits; rising
focus on patient care and remote patient monitoring and the ensuing increase in
commercial value of incontinence products integrated with RFID and sensor wafer
chips; receding social stigma and emotional distress associated with
incontinence; changing healthcare financing policies for incontinence and the
resulting increased reimbursement for incontinence products. Read More…
The Global Market for Big Data Technologies and Services is Projected to Reach $60 Billion by 2022
GIA launches comprehensive analysis of industry segments, trends, growth drivers, market share, size and demand forecasts on the global Big Data market. The global market for Big Data Technologies and Services is projected to reach $60 billion by 2022 , driven by soaring digital data volumes in organizations and the resulting need to turn this data into valuable insights for enhancing operational efficiency, tapping new opportunities and gaining competitive edge. Defined as a natural result of mankind’s obsession with information technology and digitalization, “Big Data” refers to extremely large sets of structured, semi-structured and unstructured data of different types, including text, audio or video, generated from diverse data sources that has the potential to be mined for required information. While data supply associated with big data ecosystem has always been large and voluminous in most organizations, the ability to use these large datasets and convert them into meaningf
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