In a survey conducted by the Nippon Research Center in February 2020, approximately ** percent of Japanese men aged 15 to 29 years old stated to like racing video games. The genre includes titles such as Mario Kart and Gran Turismo.

PERIOD: Oct. 1, 1930. SOURCE: Population Census of Japan; [Survey by the Statistics Bureau, Imperial Cabinet].

Abstract

This study is an experiment designed to compare the performance of three methodologies for sampling households with migrants:

• a stratified sample using the census to sample census tracts randomly, in which each household is then listed and screened to determine whether or not it has a migrant, with the full length questionnaire then being applied in a second phase only to the households of interest;
• a snowball survey in which households are asked to provide referrals to other households with migrant members;
• an intercept point survey (or time-and-space sampling survey), in which individuals are sampled during set time periods at a prespecified set of locations where households in the target group are likely to congregate.

Researchers from the World Bank applied these methods in the context of a survey of Brazilians of Japanese descent (Nikkei), requested by the World Bank. There are approximately 1.2-1.9 million Nikkei among Brazil’s 170 million population.

The survey was designed to provide detail on the characteristics of households with and without migrants, to estimate the proportion of households receiving remittances and with migrants in Japan, and to examine the consequences of migration and remittances on the sending households.

The same questionnaire was used for the stratified random sample and snowball surveys, and a shorter version of the questionnaire was used for the intercept surveys. Researchers can directly compare answers to the same questions across survey methodologies and determine the extent to which the intercept and snowball surveys can give similar results to the more expensive census-based survey, and test for the presence of biases.

Geographic coverage

Sao Paulo and Parana states

Analysis unit

Japanese-Brazilian (Nikkei) households and individuals

The 2000 Brazilian Census was used to classify households as Nikkei or non-Nikkei. The Brazilian Census does not ask ethnicity but instead asks questions on race, country of birth and whether an individual has lived elsewhere in the last 10 years. On the basis of these questions, a household is classified as (potentially) Nikkei if it has any of the following: 1) a member born in Japan; 2) a member who is of yellow race and who has lived in Japan in the last 10 years; 3) a member who is of yellow race, who was not born in a country other than Japan (predominantly Korea, Taiwan or China) and who did not live in a foreign country other than Japan in the last 10 years.

Kind of data

Sample survey data [ssd]

Sampling procedure

1) Stratified random sample survey

Two states with the largest Nikkei population - Sao Paulo and Parana - were chosen for the study.

The sampling process consisted of three stages. First, a stratified random sample of 75 census tracts was selected based on 2000 Brazilian census. Second, interviewers carried out a door-to-door listing within each census tract to determine which households had a Nikkei member. Third, the survey questionnaire was then administered to households that were identified as Nikkei. A door-to-door listing exercise of the 75 census tracts was then carried out between October 13th, 2006, and October 29th, 2006. The fieldwork began on November 19, 2006, and all dwellings were visited at least once by December 22, 2006. The second wave of surveying took place from January 18th, 2007, to February 2nd, 2007, which was intended to increase the number of households responding.

2) Intercept survey

The intercept survey was designed to carry out interviews at a range of locations that were frequented by the Nikkei population. It was originally designed to be done in Sao Paulo city only, but a second intercept point survey was later carried out in Curitiba, Parana. Intercept survey took place between December 9th, 2006, and December 20th, 2006, whereas the Curitiba intercept survey took place between March 3rd and March 12th, 2007.

Consultations with Nikkei community organizations, local researchers and officers of the bank Sudameris, which provides remittance services to this community, were used to select a broad range of locations. Interviewers were assigned to visit each location during prespecified blocks of time. Two fieldworkers were assigned to each location. One fieldworker carried out the interviews, while the other carried out a count of the number of people with Nikkei appearance who appeared to be 18 years old or older who passed by each location. For the fixed places, this count was made throughout the prespecified time block. For example, between 2.30 p.m. and 3.30 p.m. at the sports club, the interviewer counted 57 adult Nikkeis. Refusal rates were carefully recorded, along with the sex and approximate age of the person refusing.

In all, 516 intercept interviews were collected.

3) Snowball sampling survey

The questionnaire that was used was the same as used for the stratified random sample. The plan was to begin with a seed list of 75 households, and to aim to reach a total sample of 300 households through referrals from the initial seed households. Each household surveyed was asked to supply the names of three contacts: (a) a Nikkei household with a member currently in Japan; (b) a Nikkei household with a member who has returned from Japan; (c) a Nikkei household without members in Japan and where individuals had not returned from Japan.

The snowball survey took place from December 5th to 20th, 2006. The second phase of the snowballing survey ran from January 22nd, 2007, to March 23rd, 2007. More associations were contacted to provide additional seed names (69 more names were obtained) and, as with the stratified sample, an adaptation of the intercept survey was used when individuals refused to answer the longer questionnaire. A decision was made to continue the snowball process until a target sample size of 100 had been achieved.

The final sample consists of 60 households who came as seed households from Japanese associations, and 40 households who were chain referrals. The longest chain achieved was three links.

Mode of data collection

Face-to-face [f2f]

Research instrument

1) Stratified sampling and snowball survey questionnaire

This questionnaire has 36 pages with over 1,000 variables, taking over an hour to complete.

If subjects refused to answer the questionnaire, interviewers would leave a much shorter version of the questionnaire to be completed by the household by themselves, and later picked up. This shorter questionnaire was the same as used in the intercept point survey, taking seven minutes on average. The intention with the shorter survey was to provide some data on households that would not answer the full survey because of time constraints, or because respondents were reluctant to have an interviewer in their house.

2) Intercept questionnaire

The questionnaire is four pages in length, consisting of 62 questions and taking a mean time of seven minutes to answer. Respondents had to be 18 years old or older to be interviewed.

Response rate

1) Stratified random sampling 403 out of the 710 Nikkei households were surveyed, an interview rate of 57%. The refusal rate was 25%, whereas the remaining households were either absent on three attempts or were not surveyed because building managers refused permission to enter the apartment buildings. Refusal rates were higher in Sao Paulo than in Parana, reflecting greater concerns about crime and a busier urban environment.

2) Intercept Interviews 516 intercept interviews were collected, along with 325 refusals. The average refusal rate is 39%, with location-specific refusal rates ranging from only 3% at the food festival to almost 66% at one of the two grocery stores.

PERIOD: Population census on Oct. 1, 1920. SOURCE: [Survey by the Statistics Bureau, Imperial Cabinet and reports by the Hokkaido Agency].

In 2024, the turnover for Trifecta betting amounted to approximately ****** billion Japanese yen. When betting trifecta, betters can win if they pick the first, second, and third finishers by horse number in exact order.

PERIOD: Population census on Oct. 1, 1920. SOURCE: [Survey by the Statistics Bureau, Imperial Cabinet].

In 2023, the horse races conducted by the Japan Racing Association (JRA) accounted for the largest share of race betting turnover in Japan with approximately ** percent. Horse racing in Japan is divided into two categories: racing conducted by the Japan Racing Association (JRA), and racing conducted by local governments on the prefectural and municipal level.

PERIOD: Population census on Oct. 1, 1930. SOURCE: [Survey by the Statistics Bureau, Imperial Cabinet].

In 2023, total net sales of horse racing administered by local authorities through the National Association of Racing (NAR) in Japan amounted to approximately **** trillion Japanese yen. The National Association of Racing (NAR) is one of two organs responsible for the administration of horse racing in Japan. NAR covers horse racing matters in the countryside, while the other organization, Japan Racing Association (JRA), administers horse racing in metropolitan areas.

PERIOD: Population census on Oct. 1, 1920. SOURCE: [Survey by the Statistics Bureau, Imperial Cabinet].

Japan Ethnic Wear market to add USD 780 million by 2030, fueled by cultural fashion adoption and creative design collabs.

USD 155.37 Million in 2024; projected USD 277.5 Million by 2033; CAGR 6.7%.

Snapshot img

Horse Racing Market Size 2024-2028

The horse racing market size is forecast to increase by USD 114.5 billion, at a CAGR of 14.71% between 2023 and 2028.

The market witnesses an intriguing interplay of trends and challenges. The involvement of younger generations in horse racing is a significant driver, as this demographic brings fresh energy and enthusiasm to the sport. This demographic shift is evident in the increasing popularity of horse racing events that cater to the younger audience, such as music festivals and tech-savvy initiatives. Another trend shaping the market is the growing adoption of online betting platforms. Technology has transformed the way horse racing enthusiasts engage with the sport, allowing for convenient and accessible betting experiences. This shift towards digital platforms is a response to evolving consumer preferences and the convenience they offer.
However, the market is not without challenges. The rising concerns for animal welfare pose a significant obstacle. The horse racing industry faces increasing scrutiny and pressure to ensure the well-being of its equine athletes. Addressing these concerns requires a collaborative effort from all stakeholders, including race organizers, trainers, and governing bodies. By implementing stricter regulations and investing in research and development, the industry can mitigate these challenges and maintain its reputation as a responsible and ethical pastime.

What will be the Size of the Horse Racing Market during the forecast period?

Explore in-depth regional segment analysis with market size data - historical 2018-2022 and forecasts 2024-2028 - in the full report.
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The market continues to evolve, with various sectors experiencing ongoing dynamics that shape the industry. Veterinary care plays a crucial role in ensuring the wellbeing of equine athletes, with advancements in equine health leading to improved performance and fan engagement. Track conditions and race strategy are critical factors influencing the outcome of races, with media coverage providing real-time updates on these elements. Prize money and performance data are essential tools for horse racing media and gambling regulation, providing valuable insights for fans and stakeholders alike. Social media and online streaming platforms have revolutionized fan engagement, allowing for unprecedented access to racing events and real-time analysis of race statistics.

Governing bodies and racing associations work to maintain integrity and adhere to strict regulations, including drug testing and animal rights. The horse racing industry is a global phenomenon, with events such as the Triple Crown, Royal Ascot, Melbourne Cup, and Breeders' Cup attracting international attention. Racing equipment, including boots, helmets, and racing silks, plays a vital role in ensuring the safety and comfort of horses. Race preparation and training regimens are continually refined to optimize performance, with racing surfaces and race classes catering to various horse breeds and abilities. Pari-mutuel betting and betting exchanges offer fans the opportunity to place wagers on their preferred horses, with fixed odds providing a sense of security and predictability.

Horse racing statistics and betting odds are closely monitored by fans and industry experts, with post-race recovery and race distances influencing the outcome of races. In summary, the market is a dynamic and evolving industry, with various sectors interconnected and influencing one another. From veterinary care and track conditions to fan engagement and gambling regulation, the horse racing industry continues to innovate and adapt to meet the changing needs and expectations of fans and stakeholders.

How is this Horse Racing Industry segmented?

The horse racing industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2024-2028, as well as historical data from 2018-2022 for the following segments.

Type

  Flat racing
  Jump racing
  Harness racing
  Endurance racing


Revenue Stream

  Betting revenue
  Live event revenue
  Broadcasting rights
  Sponsorship and advertising
  Horse sales and breeding


Geography

  North America

    US


  Europe

    France
    UK


  APAC

    Australia
    Japan


  Rest of World (ROW)

By Type Insights

The flat racing segment is estimated to witness significant growth during the forecast period.

Flat horse racing is a globally popular equestrian sport where horses compete over predetermined distances, ranging from 402 to 4,828 meters. The majority of races take place on turf, with North America predominantly using dirt surfaces. This cultural phenomenon attracts millions of spectators annually, particularly in the UK, where it intertwines with fashion and social events. The sport's strategy and uniqu

PERIOD: Population census on Oct. 1,1920. SOURCE: [Survey by the Statistics Bureau, Imperial Cabinet and reports by the Hokkaido Agency].

Japan TIAI: LA: AH: RO: Bicycle Race Track Operations data was reported at 69.500 2005=100 in Jun 2015. This records a decrease from the previous number of 69.600 2005=100 for May 2015. Japan TIAI: LA: AH: RO: Bicycle Race Track Operations data is updated monthly, averaging 85.650 2005=100 from Jan 2003 (Median) to Jun 2015, with 150 observations. The data reached an all-time high of 132.800 2005=100 in Jan 2003 and a record low of 30.700 2005=100 in Mar 2011. Japan TIAI: LA: AH: RO: Bicycle Race Track Operations data remains active status in CEIC and is reported by Ministry of Economy, Trade and Industry. The data is categorized under Global Database’s Japan – Table JP.B047: Tertiary Industry Activity Index: 2005=100.

In 2024, the attendance at horse races administered by the National Association of Racing (NAR) in Japan amounted to approximately **** million. NAR is one of two organs responsible for the administration of horse racing in Japan. NAR covers horse racing matters in the countryside, while the other organization, the Japan Racing Association (JRA), administers horse racing in metropolitan areas.

Japan TIAI: sa: LA: AH: RO: Bicycle,Horse,Motorcar&Boat Race Track Oper data was reported at 121.800 2010=100 in May 2018. This records an increase from the previous number of 120.900 2010=100 for Apr 2018. Japan TIAI: sa: LA: AH: RO: Bicycle,Horse,Motorcar&Boat Race Track Oper data is updated monthly, averaging 104.700 2010=100 from Jan 2008 (Median) to May 2018, with 125 observations. The data reached an all-time high of 126.100 2010=100 in Jan 2018 and a record low of 48.300 2010=100 in Mar 2011. Japan TIAI: sa: LA: AH: RO: Bicycle,Horse,Motorcar&Boat Race Track Oper data remains active status in CEIC and is reported by Ministry of Economy, Trade and Industry. The data is categorized under Global Database’s Japan – Table JP.B050: Tertiary Industry Activity Index: Seasonally Adjusted: 2010=100.

Japan TIAI: Services: PS: BH: Motorcar Race Track Operations data was reported at 53.200 2000=100 in Mar 2009. This records a decrease from the previous number of 54.400 2000=100 for Feb 2009. Japan TIAI: Services: PS: BH: Motorcar Race Track Operations data is updated monthly, averaging 68.700 2000=100 from Jan 1998 (Median) to Mar 2009, with 135 observations. The data reached an all-time high of 139.900 2000=100 in Jan 1999 and a record low of 36.700 2000=100 in Apr 2004. Japan TIAI: Services: PS: BH: Motorcar Race Track Operations data remains active status in CEIC and is reported by Ministry of Economy, Trade and Industry. The data is categorized under Global Database’s Japan – Table JP.B048: Tertiary Industry Activity Index: 2000=100.

Japan TIAI: sa: LA: AH: RO: Motorcar Race Track Operations data was reported at 57.300 2005=100 in Jun 2015. This records an increase from the previous number of 55.800 2005=100 for May 2015. Japan TIAI: sa: LA: AH: RO: Motorcar Race Track Operations data is updated monthly, averaging 87.550 2005=100 from Jan 2003 (Median) to Jun 2015, with 150 observations. The data reached an all-time high of 125.300 2005=100 in Feb 2003 and a record low of 27.600 2005=100 in Mar 2011. Japan TIAI: sa: LA: AH: RO: Motorcar Race Track Operations data remains active status in CEIC and is reported by Ministry of Economy, Trade and Industry. The data is categorized under Global Database’s Japan – Table JP.B051: Tertiary Industry Activity Index: Seasonally Adjusted: 2005=100.

Japan TIAI: LA: AH: Bicycle,Horse,Motorcar &boat Race Track Ope (RO) data was reported at 85.000 2005=100 in Jun 2015. This records a decrease from the previous number of 104.700 2005=100 for May 2015. Japan TIAI: LA: AH: Bicycle,Horse,Motorcar &boat Race Track Ope (RO) data is updated monthly, averaging 91.500 2005=100 from Jan 2003 (Median) to Jun 2015, with 150 observations. The data reached an all-time high of 124.800 2005=100 in May 2004 and a record low of 39.600 2005=100 in Mar 2011. Japan TIAI: LA: AH: Bicycle,Horse,Motorcar &boat Race Track Ope (RO) data remains active status in CEIC and is reported by Ministry of Economy, Trade and Industry. The data is categorized under Global Database’s Japan – Table JP.B047: Tertiary Industry Activity Index: 2005=100.