Payday Loans Market By Type (Storefront Payday Loans and Online Payday Loans), Marital Status (Married, Single and Others), and Customer Age (Less than 21, 21-30, 31-40, 41-50 and More than 50): Global Opportunity Analysis and Industry Forecast, 2021–2030
- ALL4676724
- 280 Pages
- August 2021
- BFSI
Growing awareness about the payday loan among the youth and fast loan approval with no restriction on usage boost the growth of the global payday loans market. In addition, presence of large number of payday lenders positively impacts the growth of the market. However, factors such as high interest rates and negative impact of payday loans on credit score are expected to hamper the market growth. On the contrary, rise in adoption of advance technology among the payday lenders is expected to offer remunerative opportunities for the expansion of the market during the forecast period.
The global payday loans market is segmented on the basis of type, marital status, customer age and region. By type, the market is divided storefront payday loans and online payday loans. By marital status, it is categorized as married, single and others. As per customer age, the market is bifurcated into less than 21, 21-30, 31-40, 41-50 and more than 50. Region-wise, it is analyzed across North America, Europe, Asia-Pacific, and LAMEA.
The key players profiled in the global payday loans market analysis are Cashfloat, CashNetUSA, Creditstar, Lending Stream, Myjar, Silver Cloud Financial, Inc., Speedy Cash, THL Direct, Titlemax, and TMG Loan Processing. These players have adopted various strategies to increase their market penetration and strengthen their position in the industry.
Key Benefits For Stakeholders
• The study provides an in-depth analysis of the global payday loans market forecast along with the current trends and future estimations to explain the imminent investment pockets.
• Information about key drivers, restraints, & opportunities and their impact analysis on the global market is provided in the report.
• Porter’s five forces analysis illustrates the potency of the buyers and suppliers operating in the industry.
• The quantitative analysis of the market from 2021 to 2030 is provided to determine the market potential.
Key Market Segments
By Type
• Storefront Payday Loans
• Online Payday Loans
By Marital Status
• Married
• Single
Male
Female
• Others
By Customer Age
• Less than 21
• 21-30
• 31-40
• 41-50
• More than 50
By Region
• North America
o U.S.
o Canada
• Europe
o UK
o Germany
o France
o Italy
o Spain
o Netherlands
o Rest of Europe
• Asia-Pacific
o China
o India
o Japan
o South Korea
o Australia
o Rest of Asia-Pacific
• LAMEA
o Latin America
o Middle East
o Africa
KEY MARKET PLAYERS
• Cashfloat
• CashNetUSA
• Creditstar
• Lending Stream
• Myjar
• Silver Cloud Financial, Inc.
• Speedy Cash
• THL Direct
• Titlemax
• TMG Loan Processing
1.1.REPORT DESCRIPTION
1.2.KEY MARKET SEGMENTS
1.3.KEY BENEFITS
1.4.RESEARCH METHODOLOGY
1.4.1.Primary research
1.4.2.Secondary research
1.4.3.Analyst tools and models
CHAPTER 2: EXECUTIVE SUMMARY
2.1.CXO PERSPECTIVE
CHAPTER 3: MARKET LANDSCAPE
3.1.MARKET DEFINITION AND SCOPE
3.2.KEY FINDINGS
3.2.1.Top investment pockets
3.2.2.Top winning strategies
3.3.PORTER'S FIVE FORCES ANALYSIS
3.3.1.Bargaining power of suppliers
3.3.2.Threat of new entrants
3.3.3.Threat of substitutes
3.3.4.Competitive rivalry
3.3.5.Bargaining power among buyers
3.4.MARKET SHARE ANALYSIS/TOP PLAYER POSITIONING 2020
3.5.MARKET DYNAMICS
3.5.1.Drivers
3.5.2.Restraints
3.5.3.Opportunities
CHAPTER 4: PAYDAY LOANS MARKET BY TYPE
4.1.OVERVIEW
4.2.STOREFRONT PAYDAY LOANS
4.2.1.Key market trends, growth factors and opportunities
4.2.2.Market size and forecast, by region
4.2.3.Market share analysis, by country
4.3.ONLINE PAYDAY LOANS
4.3.1.Key market trends, growth factors and opportunities
4.3.2.Market size and forecast, by region
4.3.3.Market share analysis, by country
CHAPTER 5: PAYDAY LOANS MARKET BY MARITAL STATUS
5.1.OVERVIEW
5.2.MARRIED
5.2.1.Key market trends, growth factors and opportunities
5.2.2.Market size and forecast, by region
5.2.3.Market share analysis, by country
5.3.SINGLE
5.3.1.Key market trends, growth factors and opportunities
5.3.2.Market size and forecast, by region
5.3.3.Market share analysis, by country
5.4.OTHERS
5.4.1.Key market trends, growth factors and opportunities
5.4.2.Market size and forecast, by region
5.4.3.Market share analysis, by country
CHAPTER 6: PAYDAY LOANS MARKET BY CUSTOMER AGE
6.1.OVERVIEW
6.2.LESS THAN 21
6.2.1.Key market trends, growth factors and opportunities
6.2.2.Market size and forecast, by region
6.2.3.Market share analysis, by country
6.3.21 TO 30
6.3.1.Key market trends, growth factors and opportunities
6.3.2.Market size and forecast, by region
6.3.3.Market share analysis, by country
6.4.31 TO 40
6.4.1.Key market trends, growth factors and opportunities
6.4.2.Market size and forecast, by region
6.4.3.Market share analysis, by country
6.5.41 TO 50
6.5.1.Key market trends, growth factors and opportunities
6.5.2.Market size and forecast, by region
6.5.3.Market share analysis, by country
6.6.MORE THAN 50
6.6.1.Key market trends, growth factors and opportunities
6.6.2.Market size and forecast, by region
6.6.3.Market share analysis, by country
CHAPTER 7: PAYDAY LOANS MARKET BY REGION
7.1.OVERVIEW
7.2.NORTH AMERICA
7.2.1.Key market trends and opportunities
7.2.2.Market size and forecast, by type
7.2.3.Market size and forecast, by marital status
7.2.4.Market size and forecast, by customer age
7.2.5.Market size and forecast, by Country
7.2.6.US
7.2.6.1.Market size and forecast, by type
7.2.6.2.Market size and forecast, by marital status
7.2.6.3.Market size and forecast, by customer age
7.2.7.Canada
7.2.7.1.Market size and forecast, by type
7.2.7.2.Market size and forecast, by marital status
7.2.7.3.Market size and forecast, by customer age
7.3.EUROPE
7.3.1.Key market trends and opportunities
7.3.2.Market size and forecast, by type
7.3.3.Market size and forecast, by marital status
7.3.4.Market size and forecast, by customer age
7.3.5.Market size and forecast, by Country
7.3.6.UK
7.3.6.1.Market size and forecast, by type
7.3.6.2.Market size and forecast, by marital status
7.3.6.3.Market size and forecast, by customer age
7.3.7.Germany
7.3.7.1.Market size and forecast, by type
7.3.7.2.Market size and forecast, by marital status
7.3.7.3.Market size and forecast, by customer age
7.3.8.France
7.3.8.1.Market size and forecast, by type
7.3.8.2.Market size and forecast, by marital status
7.3.8.3.Market size and forecast, by customer age
7.3.9.Italy
7.3.9.1.Market size and forecast, by type
7.3.9.2.Market size and forecast, by marital status
7.3.9.3.Market size and forecast, by customer age
7.3.10.Spain
7.3.10.1.Market size and forecast, by type
7.3.10.2.Market size and forecast, by marital status
7.3.10.3.Market size and forecast, by customer age
7.3.11.Netherlands
7.3.11.1.Market size and forecast, by type
7.3.11.2.Market size and forecast, by marital status
7.3.11.3.Market size and forecast, by customer age
7.3.12.Rest of Europe
7.3.12.1.Market size and forecast, by type
7.3.12.2.Market size and forecast, by marital status
7.3.12.3.Market size and forecast, by customer age
7.4.ASIA PACIFIC
7.4.1.Key market trends and opportunities
7.4.2.Market size and forecast, by type
7.4.3.Market size and forecast, by marital status
7.4.4.Market size and forecast, by customer age
7.4.5.Market size and forecast, by Country
7.4.6.China
7.4.6.1.Market size and forecast, by type
7.4.6.2.Market size and forecast, by marital status
7.4.6.3.Market size and forecast, by customer age
7.4.7.India
7.4.7.1.Market size and forecast, by type
7.4.7.2.Market size and forecast, by marital status
7.4.7.3.Market size and forecast, by customer age
7.4.8.Japan
7.4.8.1.Market size and forecast, by type
7.4.8.2.Market size and forecast, by marital status
7.4.8.3.Market size and forecast, by customer age
7.4.9.South Korea
7.4.9.1.Market size and forecast, by type
7.4.9.2.Market size and forecast, by marital status
7.4.9.3.Market size and forecast, by customer age
7.4.10.Australia
7.4.10.1.Market size and forecast, by type
7.4.10.2.Market size and forecast, by marital status
7.4.10.3.Market size and forecast, by customer age
7.4.11.Rest of Asia Pacific
7.4.11.1.Market size and forecast, by type
7.4.11.2.Market size and forecast, by marital status
7.4.11.3.Market size and forecast, by customer age
7.5.LAMEA
7.5.1.Key market trends and opportunities
7.5.2.Market size and forecast, by type
7.5.3.Market size and forecast, by marital status
7.5.4.Market size and forecast, by customer age
7.5.5.Market size and forecast, by Country
7.5.6.Latin America
7.5.6.1.Market size and forecast, by type
7.5.6.2.Market size and forecast, by marital status
7.5.6.3.Market size and forecast, by customer age
7.5.7.Middle East
7.5.7.1.Market size and forecast, by type
7.5.7.2.Market size and forecast, by marital status
7.5.7.3.Market size and forecast, by customer age
7.5.8.Africa
7.5.8.1.Market size and forecast, by type
7.5.8.2.Market size and forecast, by marital status
7.5.8.3.Market size and forecast, by customer age
CHAPTER 8: COMPANY PROFILES
8.1.CASHFLOAT
8.1.1.Company overview
8.1.2.Key Executives
8.1.3.Company snapshot
8.1.4.Operating business segments
8.1.5.Product portfolio
8.1.6.Business performance
8.1.7.Key strategic moves and developments
8.2.CASHNETUSA
8.2.1.Company overview
8.2.2.Key Executives
8.2.3.Company snapshot
8.2.4.Operating business segments
8.2.5.Product portfolio
8.2.6.Business performance
8.2.7.Key strategic moves and developments
8.3.CREDITSTAR
8.3.1.Company overview
8.3.2.Key Executives
8.3.3.Company snapshot
8.3.4.Operating business segments
8.3.5.Product portfolio
8.3.6.Business performance
8.3.7.Key strategic moves and developments
8.4.LENDING STREAM
8.4.1.Company overview
8.4.2.Key Executives
8.4.3.Company snapshot
8.4.4.Operating business segments
8.4.5.Product portfolio
8.4.6.Business performance
8.4.7.Key strategic moves and developments
8.5.MYJAR
8.5.1.Company overview
8.5.2.Key Executives
8.5.3.Company snapshot
8.5.4.Operating business segments
8.5.5.Product portfolio
8.5.6.Business performance
8.5.7.Key strategic moves and developments
8.6.SILVER CLOUD FINANCIAL, INC
8.6.1.Company overview
8.6.2.Key Executives
8.6.3.Company snapshot
8.6.4.Operating business segments
8.6.5.Product portfolio
8.6.6.Business performance
8.6.7.Key strategic moves and developments
8.7.SPEEDY CASH
8.7.1.Company overview
8.7.2.Key Executives
8.7.3.Company snapshot
8.7.4.Operating business segments
8.7.5.Product portfolio
8.7.6.Business performance
8.7.7.Key strategic moves and developments
8.8.THL DIRECT
8.8.1.Company overview
8.8.2.Key Executives
8.8.3.Company snapshot
8.8.4.Operating business segments
8.8.5.Product portfolio
8.8.6.Business performance
8.8.7.Key strategic moves and developments
8.9.TITLEMAX
8.9.1.Company overview
8.9.2.Key Executives
8.9.3.Company snapshot
8.9.4.Operating business segments
8.9.5.Product portfolio
8.9.6.Business performance
8.9.7.Key strategic moves and developments
8.10.TMG LOAN PROCESSING
8.10.1.Company overview
8.10.2.Key Executives
8.10.3.Company snapshot
8.10.4.Operating business segments
8.10.5.Product portfolio
8.10.6.Business performance
8.10.7.Key strategic moves and developments
TABLE 1.GLOBAL PAYDAY LOANS MARKET, BY TYPE 2020-2030 ($MILLION)
TABLE 2.PAYDAY LOANS MARKET FOR STOREFRONT PAYDAY LOANS , BY REGION, 2020-2030 ($MILLION)
TABLE 3.PAYDAY LOANS MARKET FOR ONLINE PAYDAY LOANS, BY REGION, 2020-2030 ($MILLION)
TABLE 4.GLOBAL PAYDAY LOANS MARKET, BY MARITAL STATUS 2020-2030 ($MILLION)
TABLE 5.PAYDAY LOANS MARKET FOR MARRIED, BY REGION, 2020-2030 ($MILLION)
TABLE 6.PAYDAY LOANS MARKET FOR SINGLE, BY REGION, 2020-2030 ($MILLION)
TABLE 7.PAYDAY LOANS MARKET FOR OTHERS, BY REGION, 2020-2030 ($MILLION)
TABLE 8.GLOBAL PAYDAY LOANS MARKET, BY CUSTOMER AGE 2020-2030 ($MILLION)
TABLE 9.PAYDAY LOANS MARKET FOR LESS THAN 21, BY REGION, 2020-2030 ($MILLION)
TABLE 10.PAYDAY LOANS MARKET FOR 21 TO 30, BY REGION, 2020-2030 ($MILLION)
TABLE 11.PAYDAY LOANS MARKET FOR 31 TO 40, BY REGION, 2020-2030 ($MILLION)
TABLE 12.PAYDAY LOANS MARKET FOR 41 TO 50, BY REGION, 2020-2030 ($MILLION)
TABLE 13.PAYDAY LOANS MARKET FOR MORE THAN 50, BY REGION, 2020-2030 ($MILLION)
TABLE 14.PAYDAY LOANS MARKET FOR , BY REGION, , 2020-2030 ($MILLION)
TABLE 15.NORTH AMERICA PAYDAY LOANS, BY TYPE 2020-2030 ($MILLION)
TABLE 16.NORTH AMERICA PAYDAY LOANS, BY MARITAL STATUS 2020-2030 ($MILLION)
TABLE 17.NORTH AMERICA PAYDAY LOANS, BY CUSTOMER AGE 2020-2030 ($MILLION)
TABLE 18.NORTH AMERICA PAYDAY LOANS, BY REGION, 2020-2030 ($MILLION)
TABLE 19.EUROPE PAYDAY LOANS, BY TYPE 2020-2030 ($MILLION)
TABLE 20.EUROPE PAYDAY LOANS, BY MARITAL STATUS 2020-2030 ($MILLION)
TABLE 21.EUROPE PAYDAY LOANS, BY CUSTOMER AGE 2020-2030 ($MILLION)
TABLE 22.EUROPE PAYDAY LOANS, BY REGION, 2020-2030 ($MILLION)
TABLE 23.ASIA PACIFIC PAYDAY LOANS, BY TYPE 2020-2030 ($MILLION)
TABLE 24.ASIA PACIFIC PAYDAY LOANS, BY MARITAL STATUS 2020-2030 ($MILLION)
TABLE 25.ASIA PACIFIC PAYDAY LOANS, BY CUSTOMER AGE 2020-2030 ($MILLION)
TABLE 26.ASIA PACIFIC PAYDAY LOANS, BY REGION, 2020-2030 ($MILLION)
TABLE 27.LAMEA PAYDAY LOANS, BY TYPE 2020-2030 ($MILLION)
TABLE 28.LAMEA PAYDAY LOANS, BY MARITAL STATUS 2020-2030 ($MILLION)
TABLE 29.LAMEA PAYDAY LOANS, BY CUSTOMER AGE 2020-2030 ($MILLION)
TABLE 30.LAMEA PAYDAY LOANS, BY REGION, 2020-2030 ($MILLION)
TABLE 31.CASHFLOAT: COMPANY SNAPSHOT
TABLE 32.CASHFLOAT: OPERATING SEGMENTS
TABLE 33.CASHNETUSA: COMPANY SNAPSHOT
TABLE 34.CASHNETUSA: OPERATING SEGMENTS
TABLE 35.CREDITSTAR: COMPANY SNAPSHOT
TABLE 36.CREDITSTAR: OPERATING SEGMENTS
TABLE 37.LENDING STREAM: COMPANY SNAPSHOT
TABLE 38.LENDING STREAM: OPERATING SEGMENTS
TABLE 39.MYJAR: COMPANY SNAPSHOT
TABLE 40.MYJAR: OPERATING SEGMENTS
TABLE 41.SILVER CLOUD FINANCIAL, INC: COMPANY SNAPSHOT
TABLE 42.SILVER CLOUD FINANCIAL, INC: OPERATING SEGMENTS
TABLE 43.SPEEDY CASH: COMPANY SNAPSHOT
TABLE 44.SPEEDY CASH: OPERATING SEGMENTS
TABLE 45.THL DIRECT: COMPANY SNAPSHOT
TABLE 46.THL DIRECT: OPERATING SEGMENTS
TABLE 47.TITLEMAX: COMPANY SNAPSHOT
TABLE 48.TITLEMAX: OPERATING SEGMENTS
TABLE 49.TMG LOAN PROCESSING: COMPANY SNAPSHOT
TABLE 50.TMG LOAN PROCESSING: OPERATING SEGMENTS
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