A payday loan is a short-term unsecured loan, often characterized by high interest rates. The term "payday" in payday loan refers to when a borrower writes a postdated check to the lender for the payday salary, but receives part of that payday sum in immediate cash from the lender. In addition, payday loans have small loan limits, usually up to $500, and don’t require a credit check. Furthermore, application process and the money deposit for payday loans takes minutes, as the loan proceeds are deposited into applicant’s bank account as soon as the application is approved. In addition, rise in online payday loans in developed nations and increase in awareness about payday loans among the general public drives the growth of the market.
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.
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
- U.S.
- Canada
- Europe
- UK
- Germany
- France
- Italy
- Spain
- Netherlands
- Rest of Europe
- Asia-Pacific
- China
- India
- Japan
- South Korea
- Australia
- Rest of Asia-Pacific
- LAMEA
- Latin America
- Middle East
- Africa
KEY MARKET PLAYERS
- Cashfloat
- CashNetUSA
- Creditstar
- Lending Stream
- Myjar
- Silver Cloud Financial, Inc.
- Speedy Cash
- THL Direct
- Titlemax
- TMG Loan Processing
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Table of Contents
CHAPTER 1: INTRODUCTION1.1. REPORT DESCRIPTION1.2. 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 SUMMARY2.1. CXO PERSPECTIVE
CHAPTER 3: MARKET LANDSCAPE3.1. 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 TYPE4.1. 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 STATUS5.1. 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 AGE6.1. 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 REGION7.1. 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 PROFILES8.1. 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
List of Tables
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 ($MILLION)
TABLE 31. CASHFLOAT: COMPANY SNAPSHOT
TABLE 32. CASHFLOAT: OPERATING SEGMENTS
TABLE 33. CASHNETUSA: COMPANY SNAPSHOT
TABLE 34. CASHNETUSA: OPERATING SEGMENTS
TABLE 35. CREDITSTAR: COMPANY SNAPSHOT
TABLE 36. CREDITSTAR: OPERATING SEGMENTS
TABLE 37. LENDING STREAM: COMPANY SNAPSHOT
TABLE 38. LENDING STREAM: OPERATING SEGMENTS
TABLE 39. MYJAR: COMPANY SNAPSHOT
TABLE 40. MYJAR: OPERATING SEGMENTS
TABLE 41. SILVER CLOUD FINANCIAL, INC: COMPANY SNAPSHOT
TABLE 42. SILVER CLOUD FINANCIAL, INC: OPERATING SEGMENTS
TABLE 43. SPEEDY CASH: COMPANY SNAPSHOT
TABLE 44. SPEEDY CASH: OPERATING SEGMENTS
TABLE 45. THL DIRECT: COMPANY SNAPSHOT
TABLE 46. THL DIRECT: OPERATING SEGMENTS
TABLE 47. TITLEMAX: COMPANY SNAPSHOT
TABLE 48. TITLEMAX: OPERATING SEGMENTS
TABLE 49. TMG LOAN PROCESSING: COMPANY SNAPSHOT
TABLE 50. TMG LOAN PROCESSING: OPERATING SEGMENTSList of Figures
FIGURE 1. GLOBAL PAYDAY LOANS MARKET SEGMENTATION
FIGURE 2. TOP INVESTMENT POCKET
FIGURE 3. TOP WINNING STRATEGIES (%)
FIGURE 4. PAYDAY LOANS MARKET FOR STOREFRONT PAYDAY LOANS , 2020-2030 ($MILLION)
FIGURE 5. PAYDAY LOANS MARKET FOR ONLINE PAYDAY LOANS, 2020-2030 ($MILLION)
FIGURE 6. PAYDAY LOANS MARKET FOR MARRIED, 2020-2030 ($MILLION)
FIGURE 7. PAYDAY LOANS MARKET FOR SINGLE, 2020-2030 ($MILLION)
FIGURE 8. PAYDAY LOANS MARKET FOR OTHERS, 2020-2030 ($MILLION)
FIGURE 9. PAYDAY LOANS MARKET FOR LESS THAN 21, 2020-2030 ($MILLION)
FIGURE 10. PAYDAY LOANS MARKET FOR 21 TO 30, 2020-2030 ($MILLION)
FIGURE 11. PAYDAY LOANS MARKET FOR 31 TO 40, 2020-2030 ($MILLION)
FIGURE 12. PAYDAY LOANS MARKET FOR 41 TO 50, 2020-2030 ($MILLION)
FIGURE 13. PAYDAY LOANS MARKET FOR MORE THAN 50, 2020-2030 ($MILLION)
FIGURE 14. GLOBAL PAYDAY LOANS, BY REGION, 2020 (%)
FIGURE 15. US PAYDAY LOANS MARKET, 2020-2030 ($MILLION)
FIGURE 16. CANADA PAYDAY LOANS MARKET, 2020-2030 ($MILLION)
FIGURE 17. UK PAYDAY LOANS MARKET, 2020-2030 ($MILLION)
FIGURE 18. GERMANY PAYDAY LOANS MARKET, 2020-2030 ($MILLION)
FIGURE 19. FRANCE PAYDAY LOANS MARKET, 2020-2030 ($MILLION)
FIGURE 20. ITALY PAYDAY LOANS MARKET, 2020-2030 ($MILLION)
FIGURE 21. SPAIN PAYDAY LOANS MARKET, 2020-2030 ($MILLION)
FIGURE 22. NETHERLANDS PAYDAY LOANS MARKET, 2020-2030 ($MILLION)
FIGURE 23. REST OF EUROPE PAYDAY LOANS MARKET, 2020-2030 ($MILLION)
FIGURE 24. CHINA PAYDAY LOANS MARKET, 2020-2030 ($MILLION)
FIGURE 25. INDIA PAYDAY LOANS MARKET, 2020-2030 ($MILLION)
FIGURE 26. JAPAN PAYDAY LOANS MARKET, 2020-2030 ($MILLION)
FIGURE 27. SOUTH KOREA PAYDAY LOANS MARKET, 2020-2030 ($MILLION)
FIGURE 28. AUSTRALIA PAYDAY LOANS MARKET, 2020-2030 ($MILLION)
FIGURE 29. REST OF ASIA PACIFIC PAYDAY LOANS MARKET, 2020-2030 ($MILLION)
FIGURE 30. LATIN AMERICA PAYDAY LOANS MARKET, 2020-2030 ($MILLION)
FIGURE 31. MIDDLE EAST PAYDAY LOANS MARKET, 2020-2030 ($MILLION)
FIGURE 32. AFRICA PAYDAY LOANS MARKET, 2020-2030 ($MILLION)
Companies Mentioned
- Cashfloat
- CashNetUSA
- Creditstar
- Lending Stream
- Myjar
- Silver Cloud Financial Inc.
- Speedy Cash
- THL Direct
- Titlemax
- TMG Loan Processing
Methodology
The analyst offers exhaustive research and analysis based on a wide variety of factual inputs, which largely include interviews with industry participants, reliable statistics, and regional intelligence. The in-house industry experts play an instrumental role in designing analytic tools and models, tailored to the requirements of a particular industry segment. The primary research efforts include reaching out participants through mail, tele-conversations, referrals, professional networks, and face-to-face interactions.
They are also in professional corporate relations with various companies that allow them greater flexibility for reaching out to industry participants and commentators for interviews and discussions.
They also refer to a broad array of industry sources for their secondary research, which typically include; however, not limited to:
- Company SEC filings, annual reports, company websites, broker & financial reports, and investor presentations for competitive scenario and shape of the industry
- Scientific and technical writings for product information and related preemptions
- Regional government and statistical databases for macro analysis
- Authentic news articles and other related releases for market evaluation
- Internal and external proprietary databases, key market indicators, and relevant press releases for market estimates and forecast
Furthermore, the accuracy of the data will be analyzed and validated by conducting additional primaries with various industry experts and KOLs. They also provide robust post-sales support to clients.
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