Extrapolations

This is a collection of long-term forecasts based on quantitative data from diverse sectors. Long-term means 20 years or more. Diverse means forecasts in a wide range of activities such as transportation, education, food, shelter, entertainment, technology, etc. You can help grow the collection. Please check our list of desired indicators and submit suggestions to extrapolations@kk.org. We're also collecting and crossposting any and all attempts to extrapolate the future on Tumblr and Pinterest. You can follow us on Twitter too.

Sports Fandom, Spending & Spectatorship, Fantasy Sports


Summary

Most of the data reported here are historic, although I’ve found a couple forecasts from Pricewaterhouse Coopers for stadium building, and ticket and merchandise sales, 2008-2019.

A small chart contrasting data on sports attendance spending vs. consumer confidence 2011-2015 was published by Rich Luker, who runs ESPN’s annual Sports Poll. I suspect we could find more historic data for both lines to create an expanded chart.

I’ve found several polls describing sports fandom. For the most port, the polls give percentages of respondents, rather than raw figures. Harris’s poll presents the oldest data I’ve seen (back to 1985), although I believe ESPN’s poll has been running for longer than it’s published data would suggest (chart shows data back to 2000, but I think the polls have been running since the mid ’90s).

I’ve collected major league attendance for the NBA and MLB are available back to 1981, and for the NFL back to 1994. Older NFL attendance available is probably available, somewhere.

Team Marketing Report publishes a “Fan Cost Index” which tracks the prices of tickets, as well as other typical spectator expenditures (eg: hot dogs, beer, etc). I’ve found their data for NFL ticket prices back to 2006 via Statista. We should try to contact them for more data.

Findings

Sports Fandom

luker-spending-vs-economy

luker-2015-sports-fandom-and-spending

In 2015, 23.4 percent of Americans spent on sports at least once a month, a 6 percent decline from the average 24.9 percent for 2011-14. This trend, if it continues for five more years, will reduce the number of people spending monthly by 10 million.

The University of Michigan Consumer Sentiment Index, which measures consumer confidence, rose by 21 percent in 2015 compared with 2011-14, and the Dow Jones Industrial Average was up 24 percent in 2015 compared with 2011-14. These three sources of data, showing similar growth, indicate a context where more frequent spending in sports should have taken place. And generally, for more than 22 years, engagement in sports has mirrored the performance of the economy and personal finances. We noticed a shift in those trends around 2011, when it seemed the economy was perking up.

The percentage of American sports fans remained near a very stable 88 percent from 2011-15, but avid fans declined by 2 percent in 2015, and those who placed a high priority on time and investment in sports interests dropped 4 percent. Similarly, 4 percent more Americans said they were “less interested in sports than they were the year before” in 2015, compared with the 2011-14 average.

src:
Rich Luker. February 22, 2016. “Sports spending not on pace with economic growth.” Sports Business Daily. contact: rich@lukerco.com

*

Harris has run an annual poll at least since 1985 asking what Americans’ favorite sports are. In this chart, data is only available for the latest year (2014), but we may be able to obtain figures for the preceeding years by contacting Harris.

Harris-favorite-sports-1985-2014

src:
Harris Poll, via
Cork Gaines. February 20, 2015. “The popularity of the NFL is starting to fall in the US.” Business Insider

TO DO: CONTACT HARRIS TO ASK FOR HISTORIC DATA POINTS.

A much simpler, semi-regular Gallup poll, 2001-2015, simply asks if people consider themselves sports fans.

gallup-fans-2001-2015

src:
Jeffrey M. Jones. June 17, 2015. “As Industry Grows, Percentage of U.S. Sports Fans Steady.” Gallup.

The ESPN Sports Poll, run annually since 1994 by Rich Luker, defines percentages of fans and avid fans, and, by subtraction, non-fans. This particular graphic only give data back to 2000, but we may be able to ask Luker (or his colleague) for older data.

ESPN-Sports-Poll-avid-fans-2000-2014

src:
Jess3 (the graphic’s designer), 2015.
Using ESPN Sports Poll data, collected by Rich Luker and Chad Menefee. Contact: chad@lukerontrends.com

TO DO: EMAIL CHAD MENEFEE TO ASK FOR OLDER DATA

The ESPN Sports Poll has also been tracking college sports fans at least since 2000. This chart shows percentage and numeric data for 2000-2010.

ESPN-Sports-Poll-college-sports-fans-2000-2010

src:
Kenneth Cortsen. August 16, 2013.
IMG’s Capitalization On Sport Stars And Other Assets – IMG College Is Meant For Success.

Spending And Spectatorship

Pricewaterhouse Coopers publishes an annual 5-year-forecast of sports industry figures, including gate revenues and merchandising. The publications also include data for the previous five years. Data for 2008-2019 are freely available in the 2013, 2014, and 2015 editions, and I’ve aggregated the gate revenues and merchandising data in the following Google Sheet:

src: Adam W. Jones (editor). “PwC Sports Outlook.” PricewaterhouseCoopers LLP.
contact: adam.w.jones@us.pwc.com
November 2013 edition
October 2014 edition
October 2015 edition

*

Professional League Game Attendance

ESPN collects historic game data, including attendance, going back to 2001, for several professional sports. However, Peter Von Allmen, an academic economist and current president of the North American Association of Sports Economists (NAASE), referred me to the [sport]-reference.com websites as an excellent source for historic sports data going back much further than ESPN’s data.

I’ve compiled the [sport]-reference.com data describing the number of teams and attendance (total regular season, and average per game attendance, in some cases) for the NBA, MLB, and NFL in the following Google Sheet:

Note: NBA data is collected for 1981-2016. Attendance figures are actually available going back to 1946, but only for a couple teams per season.

Srcs:
Basketball-Reference.com
[Click on a season date, then Summary, then Miscellaneous Stats to find attendance figures.]
Baseball-Reference.com
[Click on a season date, then Other, then Attendance & Misc.]
Pro-Football-Reference.com
[Click on “NFL” next to a season date, then Other, then Attendance]
NOTE: The tallies on the NFL site are incorrect, so I’ve re-calculated them

Other sources:

NHL attendance
ESPN has data back to 2001
but HockeyDB.com has league totals data back to 1994
and average home game data older than that
Average home game data
AWAITING AN EMAIL (5/2/16) FROM RALPH SLATE, WHO MAY BE WILLING TO SHARE

MLB and NFL data is available from ESPN, going back to 2001

NCAA Football
total fans per year 1954-2014
THERE’S A GRAPH, BUT ONLY 2014 IS LABELED WITH A FIGURE
src: National Football Foundation, June 2015
“2014 Report: Passion for College Football Remains Strong – See more at: http://www.footballfoundation.org/tabid/567/Article/55324/2014-Report-Passion-for-College-Football-Remains-Strong.aspx#sthash.cjtYWG1T.dpuf”

http://www.footballfoundation.org/tabid/567/Article/55324/2014-Report-Passion-for-College-Football-Remains-Strong.aspx

*

Average NFL ticket price, 2006 – 2015
2006 – 62.38
2007 – 67.11
2008 – 72.2
2009 – 74.99
2010 – 76.47
2011 – 77.34
2012 – 78.38
2013 – 81.54
2014 – 84.43
2015 – 85.83

via Statista, citing TMR 2006 to 2015
(TMR: Team Marketing Report)

*

Major league facilities

PwC-major-league-facilities-aging1995-2022

src: Adam W. Jones (editor). “PwC Sports Outlook.” October 2014. PricewaterhouseCoopers LLP. P.4
contact: adam.w.jones@us.pwc.com

Fantasy Sports

Number of fantasy sports players by year (Figure 2)

1988 500,000
1991-1994 1 – 3 Million
2003 15.2 Million
2004 13.5 Million
2005 12.6 Million
2006 18 Million
2007 19.4 Million
2008 29.9 Million
2009 28.4 Million
2010 32 Million
2011 35.9 Million
2014 41.5 Million
2015 56.8 Million

Percentage of fantasy sports players compared to the general population of the United States, age 12+ (Figure 1)
Total – 14%
Adults – 13%
Teens – 18%
Male – 19%
Female – 8%
College Education – 18%
No College Education – 10%
HH Income $50k+ – 16%
HH income <$50K – 10%

On average, fantasy sports players (age 18+) spend $465 on league-related costs, single-player challenge games, and league-related materials over a 12-month period. Up from $95 in 2012 (src: press release).

src: Fantasy Sports Trade Association. “Industry Demographics.” Accessed May 4, 2016.
press release for the recent research.

Posted by cc on May 18, 2016 at 6:44 pm | comment count



Historic Variety of Sports


Summary

To get a sense for the growth in the variety of commonly practiced sports, I considered which organizations would have been tracking individual sports in an official capacity. The International Olympic Committee (IOC) has a fairly long modern history, but sports included in the Olympic Games are restricted by the organizations rules, so while the IOC list certainly includes many of the most popular sports, and reflects some shifts over the last century, it certainly does not include many emerging but popular sports, or sports that are very popular in a particular region (like American football). I wrote to a number of organizations that lobby on behalf of sports that may have international federations, but lack representation in the Olympics, but I was not able to obtain historic data from any of them. I also thought to consult lists maintained by the National Federation of State High School Associations (NFHS) and the National Collegiate Athletic Association (NCAA), but these share limitations similar to the sports represented by the IOC. At the other end of the spectrum, I found one website, Topend Sports, which has a fantastic list of sports from around the world which seems quite comprehensive, but unfortunately offers no date information (either documenting when the sport was created or when it became popular).

Findings

International Olympic Committee (IOC)

Some context on IOC terminology and rules:
The IOC uses the terms “event,” “discipline” and “sport” to organize their athletic competitions. An event is any competition that results in the awarding of medals, such as the women’s 100-meter backstroke. The discipline of swimming, which comprises various events like the backstroke, breaststroke and freestyle, is a branch of the sport aquatics.

For a sport or discipline to be considered for the Summer Olympics, it must demonstrate popularity among both genders in various parts of the world. Men from at least 75 countries and women from at least 50 countries should practice a given sport on four continents.

When determining which sports to include in an Olympic program, at least 25 of the sports offered must come from the 28 sports established by the IOC. Up to three additional sports may be added that are not from among this pre-established group.

src:
Greg Soltis. July 27, 2012. “The Incredible Evolution of the Olympics.” LiveScience.

After writing to the International Society of Olympic Historians, I was referred to Bill Malon, who maintains an extensive Excel document with data from 1896-2012, including:
Number of Events per Sport by Year (by gender)
Total # of Events by Year (broken down by gender)
Total # Sports by Year (broken down by gender)
List of Sports and Events by Year (by gender)
List and Total # of Countries by Year

Mr. Malon’s Excel file (originally shared as OGCompShort.xls) is available in this Google Sheets document:

A simple list of the number of sports in each Olympic Games by year is also maintained by Topend Sports: Olympic Games Sports Changes. The list notes which sports were added or dropped in each Games.

*

Agencies That Support the IOC

SportAccord
An association composed of autonomous and independent international sports federations and other international organisations contributing to sport in various fields.

SportAccord promotes sports, increases its and its members’ recognition by the Olympic Movement, and organizes multi-sports games.

To be a Member, an organization must group together the majority of the National Federations throughout the world practicing its sport and regularly hold international competitions. To be an Associate Member, an organization can either group together the activities of several Members or National Olympic Committees for the purpose of organizing competitions, or have objectives recognized by the Council as benefiting the other Members of the Association.

(Previously known as GAISF, the General Association of International Sports Federations.)

src: SportAccord. “2014 Statutes.” Accessed April 7, 2016.

Members list – 106 members

Contact: sportaccord@sportaccord.com
EMAILED 4/13. No reply.

Also sent inquires to The Association of IOC Recognised International Sports Federations (ARISF), info@arisf.org, and the Alliance of Independent Recognised Members of Sport (AIMS), contact form. No reply from them either.

*

Sports counted in the NFHS Annual Survey, 1969-2015

Counting each sport that gets its own major subject heading in the tables. For example, “Skiing — Alpine” and “Skiing — Cross Country” count for a total of two sports. However, “Football — 11-player”, which often includes three subheadings (“6-player,” “8-player,” and “9-player”), is only counted once. “Flag Football,” with its own heading is counted separately from “Football — 11-Player.”
For example:
[NFHS-skiing-headings.png]

NFHS-football-headings.png

Note: Each of the annual surveys are freely available, but this is a sampling of every five years.

1969/70 – 29 sports
1975/76 – 31 sports
   Added: Archery, Drill Teams, Table Tennis, Weightlifting
   Dropped: Rowing, Rugger
1980 – 36 sports
   
   Added: Canoeing, Crew, Eskimo Games, Judo, Soft Tennis, second Softball category
   Dropped: Rugby
1985 – 31 sports
   Dropped: Curling, Drill Teams, Eskimo Games, Soft Tennis, Table Tennis
   Added: Equestrian, Heptathalon
   Condensed to one entry each: Softball, Track & Field
1990 – 32 sports
   Added: Other
1995 – 38 sports
   Added: Adapted Sports, Competitive Spirit Squads, Team Tennis,
   De-condensed: Skiing, Softball, Track & Field
2000 – 35 sports
   Condensed: Skiing, Softball, Track & Field
2004/05 – 41 sports
   Added: 4 Dance categories, Flag Football, Skiing category, Snowboarding
   Dropped: Decathalon, Heptathalon, Pentathalon, Water Polo
   De-condensed: Skiing, Softball, Track & Field
2009/10 – 42 sports
   Added: Air Riflery, Rodeo, Synchronized Swimming, Water Polo
   Condensed: 3 Dance categories, 2 Skiing categories
2014/15 – 53 sports
   Added: Boce, Dance category, Decathalon, Heptathalon, Kayaking, Mixed Coed Valleyball,
   Mountain Biking, Rugby, Sailing, Soft Tennis, Surfing,

Srcs:
The National Federation Of State High School Associations.
1969-2014 High School Athletics Participation Survey Results.” Pp. 1, 23, 56, 112, 176, 258, 344, 418, 501.
and
2014-15 High School Athletics Participation Survey.” Pp. 1-2

*

International Sports Federations

Wikipedia – List of international sports federations
Includes federations recognized by IOC, ASOIF, AIOWF, ARISF, IPC, and SportAccord. Many of the federations have Wikipedia pages showing the date of creation.

Topend Sports also maintains a list of international sport federations, sorted alphabetically by sport. Current total count: 171.
Note: No links to the federation websites. Links to internal pages about the sport – no date information, just short, general descriptions of the sports.

*

More Comprehensive Sports Lists

Topend Sports maintains a “Complete List of Sports from Around the World.”

The list currently has 806 entries, but no date information. Separately, they maintain a list of “Ancient and Extinct Sports.”

Topend Sports also has an interesting list of “New and Unusual Sports” submitted by readers, but I think many of the sports are just theoretical.

*

Other Resources

North American Association of Sports Economists

Journal of Sports Management
current editor: David Shilbury
Published by the North American Society For Sports Management (NASSM)
Indexed in Human Kinetic Journals

North American Society for Sport History (NASSH)

Sport In American History
group blog – primarily academic contributors
links page points to other orgs

The LA84 Foundation operates the largest sports research library in North America, the Paul Ziffren Sports Resource Center. It is a state-of-the-art research facility and learning center dedicated to the advancement of sports knowledge and scholarship. The Foundation also maintains a sizable collection of historic sport art and artifacts much of which was inherited from the former Helms Athletic Foundation Sports Halls of Fame. Its digital holdings, accessible to the public through its website, include not only a complete set of Olympic Official Reports, but also the full run of the Journal of Olympic History and its predecessor, Citius, Altius, Fortius through 2012.
[Description from ISOH]
NOTE: reference queries involving research charged $40/hour

Here’s an index to some older sports history journals available online. Seems like perhaps this should not be public, but there it is! And the full text of articles are available, but difficult to navigate (no search).



Sports and Recreation Participation


Summary

Forecast data for sports and recreation participation seems rare.

The USDA Forest Service has published a few 50-year forecasts of outdoor recreation participation. The forecasts are based on data from it’s semi-regular National Survey on Recreation and the Environment. However, the only national-level forecast I’ve seen was published in 1999. I’ve emailed the authors to inquire if more recent national forecasts have been made. (Forecasts for the southern region of the US have been made as recently as 2013).

The Bureau of Labor Statistics publishes 10-year job outlook and employment change forecasts for professional athletes. The latest figures were published December 2015.

Beyond these two forecasts, I’ve found a couple sources for historic sports participation data: the Sports & Fitness Industry Association’s “Sports Participation in America” and ”Trends in Team Sports Report” (tidbits available through press releases going back to 2007); The Physical Activity Council Report (data for 2010-2015 available, possibly going back to 2000 – emailed for more info); United Health Foundation’s annual “American’s Health Rankings” survey; the National Federation of State High School Associations’ “Athletics Participation Survey” (annual data available 1971-2014).

Data and Excerpts

Non-Professional Adult Participation

The most significant forecast data I’ve found comes from the USDA Forest Service, via a 1999 publication. Later forecasts have been made for specific regions of the US. This is the only set of national-level forecasts I’ve found.

The publication gives projections of future recreation participation (by millions of participants aged 16 and over) and consumption (by millions of days annually and by millions of primary purpose trips taken) at lo-year intervals beginning in 2000 and ending in 2050. Projections for 24 specific outdoor activities and sports are grouped as following: winter, water, wildlife, dispersed land, and developed land. The projections are given as indexes, based on the year 1995.

Two types of regional cross-sectional models were used:
– a logistic regression model (for participation)
– a negative binomial form of a count data model (for consumption)

I’ve aggregated the forecasts in this table.

The data in these projections comes from the National Survey on Recreation and the Environment (NSRE), which has been collected since 1960 (originally as the National Recreation Survey). The survey has been conducted in 1960, 1965, 1970, 1972, 1977, 1982-83, 1994-95, 1999-2001, 2005-2011 (although this report only reflects data through the 94-95 survey).

Src: J.M. Bowker, Donald B.K. English, H. Ken Cordell. 1999. “Projections Of Outdoor Recreation Participation To 2050.” In Outdoor Recreation in American Life.

Note: Emailed the authors, Bowker and Cordell March 14, 2016, to inquire about subsequent national-level projections. No reply received.

*

Sports & Fitness Industry Association (SFIA) reports

The SFIA (formerly the Sporting Goods Manufacturers Association, or SGMA) has published an annual report called “Sports Participation in America” since 2000 (data going back to 1999). The report describes participation levels in over 100 sports, recreation, and outdoor activities. Each report includes a general breakdown of the number of Americans aged 6 and older who participated in at least one of the covered sports frequently, occassionally (later: regularly or casually), or did not participate in any.

Here’s an example of the chart from the report published in 2004:
SGMA-04-participation-breakdown
Src:
SGMA. 2004. “Sports Participation in America: 2004 Edition.” file name: Sports Part in Am 2004.pdf

I’ve seen data like the above from 1999-2003, and 2008, which is aggregated in this table, in columns C, and E-F. [Sources given in the comments for each cell.] The participation reports also gives a variety of other statistics describing the growth in participation in individual sports, including participation differences correlated with demographic characteristics.

In addition to the participation report, SFIA also publishes data describing core participants in team sports (”Trends in Team Sports Report” — tidbits available through press releases going back to 2007). The distinction of “core” indicates frequent and regular players (the threshold varies by sport/activity). This is the largest collection of core sports participation I’ve found:

Team Sports Core Participation (in thousands)

click for larger
Via: Hotel News Now, May 28, 2013

Note: Emailed Corey Bockhaus, cbockhaus@sfia.org, research@sfia.org, 3/14 to ask about older and more recent data like above. Hoping he can fill the gap in general participation data from 2004-2007, and 2009+.

*

2016 Physical Activity Council Report

Annual study tracking participation in over 120 sports. The PAC report gives overall statistics (percentages and raw figures), as well as sport-specific statistics (raw figures, and annual change percentages).

“The overall levels of inactivity decreased marginally in the last 12 months from 28.3% of Americans age six and older in 2014 to 27.7% in 2015. However, there are still 81.6 million inactive Americans.”

PAC-inactives2010-2015

“Inactivity decreased for most age groups, with 13 to 17 year olds having the biggest drop (1.4%) and 35 to 44 year olds having the lowest decrease (0.2%) in 2015. While those Americans between the ages of 45 to 54 remained flat in inactivity, there was a gradual increase in inactivity for 55 to 64 year olds.”

212.6 million “actives” taking part in a wide range of sports and fitness activities in 2015, a slight increase from 209.3 actives in 2014.

Total Participation Rate by Activity Category, 2015
Fitness Sports 61.5%
Outdoor Sports 48.4%
Individual Sports 34.8%
Team Sports 23.1%
Racquet Sports 13.5%
Water Sports 14.2%
Winter Sports 7.4%

 

Activity Category Segmented by Generations, 2015
Individual Sports Racquet Sports Team Sports Outdoor Sports Winter Sports Water Sports Fitness Sports
Gen Z (2000+) 48.2% 18.8% 58.8% 61.8% 13.1% 17.5% 50.6%
Millennials (1980-1999) 43.6% 20.2% 31.8% 57.4% 12.2% 20.3% 66.7%
Gen X (1965-1979) 36.9% 13.4% 17.9% 51.4% 7.0% 14.8% 66.2%
Boomers (1945-1964) 24.1% 7.1% 6.4% 38.6% 2.9% 9.2% 60.0%

 

Fitness and Activity-Related Spending over a 5-year Span, 2015
(% of people who spent on)
Sports/recreation footwear 45.3%
Sports/recreation clothing 44%
Outdoor recreation activities 39.5%
Sports/recreation equipment 34.9%
Gym/membership fees 29.3%
Travel to take part in sports & recreation 28.1%
Team sports outside of school 25%
Team sports at school 20.2%
Individual sports events 19.7%
Lessons/instruction/sports camps 19.3%
Winter sports 17.9%

Based on 32,658 online interviews with a 95% confidence level. A weighting technique was used to balance the data to reflect the total US population ages six and above. The total population figure used was 294,141,894 people ages six and older.

“Inactivity” is defined to include those participants who reported no physical activity in 2015 and an additional
18 sports/fitness activities that require minimal to no physical exertion.

Contributions from International Health, Racquet and Sportsclub Association, The National Golf Foundation, The Outdoor Foundation, The Snowsports Industries America, The Sports and Fitness Industry Association, The Tennis Industry Association, and United States Tennis Association

The report indicates that data have been collected since 2000, but the report only shows figures going back to 2010.

Note: I’ve emailed to inquire about pre-2010 data (March 9, 2016, info@sportsmarketingsurveysusa.com).

Src: Physical Activity Council. March 1, 2016. “2016 Participation Report.”

*

Adults reporting no physical activity or
exercise outside of work in last 30 days
2015 22.6%
2014 25.3%
2013 22.9%
2012 26.2%
2011 23.9%
2010 23.8%
2009 24.6%
2008 22.6%
2007 22.6%
2006 23.8%
2005 22.5%
2004 22.7%
2003 24.1%
2002 25.4%
2001 26.7%
2000 27.7%
1999 27.7%
1998 27.8%
1997 27.8%

Src: United Health Foundation. “United States Physical Inactivity (1997-2015).” Accessed March 16, 2016.

*

Professional Participation

BLS – Athletes and Sports Competitors

2014
Median Pay – $43,350/year
Number of Jobs – 13,700
Job Outlook 2014-2024 – 6% (as fast as average for all occupations)
Employment change 2014-2024 – 800 more jobs
Src:
Bureau of Labor Statistics. Occupational Outlook Handbook. “Athletes and Sports Competitors.” Summary. December 17, 2015.

Year Total Employment
1999 10,620
2000 9,920
2001 10,520
2002 10,400
2003 11,840
2004 12,250
2005 12,230
2006 12,500
2007 12,670
2008 13,960
2009 13,620
2010 12,660
2011 12,630
2012 12,450
2013 13,880
2014 11,520
2015 11,710

Src:
Bureau of Labor Statistics. Occupational Employment Statistics. “OES Data.” 1999-May 2015.
and
Bureau of Labor Statistics. Occupational Employment Statistics. “27-2021: Athletes and Sports Competitors.”

*

Student/Youth Participation

The National Federation Of State High School Associations has conducted its annual “Athletics Participation Survey” since 1971. The survey is completed by high schools with membership in the NFHS and its member associations.

NFHS1971-2015-sports-participation
Src: National Federation of State High School Associations. “2014-15 High School Athletics Participation Survey Results.” Page 55 (page 3 of this PDF).

Press release for 2014-15 school year available here.
Excerpt:
“Based on figures from the 51 NFHS member state high school associations, which includes the District of Columbia, the number of participants in high school sports reached an all-time high of 7,807,047 – an increase of 11,389 from the previous year.”

Participation data for recent individual years available are available on the NFHS website at the “Participation Statistics” page.

Note: 3/9 Emailed Bruce Howard to ask what percentage of high school students participate in sports, and what percentage of high schools participate in their survey.

*

Among 6- to 17-year-olds, the average number of team sports played per participant has fallen 5.9 percent in the last five years, dropping from 2.14 to 2.01, according to the SFIA.

Tracking The Changes In Youth Sports Participation
(Participants by ages 6-17, thousands)
2009 2014 % Change
Baseball 7,012 6,711 -4.3%
Basketball 10,404 9,694 -6.8%
Field hockey 438 370 -15.5%
Football (tackle) 3,962 3,254 -17.9%
Football (touch) 3,005 2,032 -32.4%
Gymnastics 2,510 2,809 11.9%
Ice hockey 517 743 43.7%
Lacrosse 624 804 28.8%
Rugby 150 301 100.7%
Soccer (indoor) 2,456 2,172 -11.6%
Soccer (outdoor) 8,360 7,656 -8.4%
Softball (fast-pitch) 988 1,004 1.6%
Softball (slow-pitch) 1,827 1,622 -11.2%
Track and field 2,697 2,417 -10.4%
Volleyball (court) 3,420 2,680 -21.6%
Volleyball (sand/beach) 532 652 22.6%
Wrestling 1,385 805 -41.9%

Src: SFIA, via Sports Business Daily, “2014 Trends in Team Sports,” August 10, 2015

Press release for the 2013 Trends in Team Sports available here
[no press releases for more recent reports]
Excerpt:
“Compared to 2011, which saw an increase in only 5 of the 24 sports, the surge in core participation in the most current U.S. Trends in Team Sports Report is proof of the growing trend of specialization in team sports. While there are more quality participants (core), the report also reveals the decrease in overall (casual) team sports participants over the last five years. Since 2008, team sports have lost 16.1 million participants or 11.1% of all team participants, measured by those who played at least once a year.”

2007 Edition excerpts
“While 31.6 million U.S. children (age 6-17) participate in team sports on a ‘frequent’, ‘regular’, or ‘casual’ basis, nearly 19 million U.S. children do not participate in team sports at all.”

“900,000 17-year olds played basketball in 2006 which means 17.9% of all 17-year olds played basketball in 2006.”
Src: SFIA. 2007. “U.S. Trends in Team Sports 2007 Edition.”



Future of Sports


future-sports-stadium
Src: USA Today

A report consulting leading futurists presents a picture of what professional sports might be like in the next 25 years. Predictions are made in three increments (1-5 years, 5-10 years, 10-25 years), but the editors stress that the report only describes a possible future, not a most likely scenario. It is intended to be a conversation starter, and should not be read as a high-confidence forecast. The report covers eleven facets of the industry, including facilities, venues, players, fans, etc. The report was commissioned by the operator of a global food service and hospitality company and owner of a major professional team.

The full report is available for free, but here are highlights by chapter:

Athletes

1-5 years: genetic screening
5-10 years: genetic enhancements
10-25 years: natural & enhanced athletes

“Safe and detectable drugs that boost key physiological factors to specific, pre-determined amounts will be legal and will level the playing field for all. Success will be determined more by character, teamwork, strategy, and the mental edge than by the genetic lottery. In this sense, sports will become a purer test than we have today.”

The carefully managed genetic enhancements might allow for:
increased red blood cell count for better oxygen delivery
stamina increased 60%
muscle mass doubled
pain pathways blocked
skeletal density increased

Enhanced athletes and natural athletes might compete in separate leagues, with the leagues meeting in championship games between natural and enhanced players.

All players will also be enhanced by courts/fields that increase performance.

Stadium

1-5 years: demand for data flow (via smart phones, etc)
5-10 years: video advances
10-25 years: urban integration

Video walls in stadium architecture; on-field holographic replays, glasses-free 3D tech in luxury boxes; VR rides in the stadium for fans.

Smaller stadium footprints, enabled by self-driving self-parking cars and high-speed mass transit, allow stadiums to be built in city centers; modular/adaptable construction for variety of events; variety of fan areas.

More alcohol sales (enabled by driverless cars, mass transit); more security cameras, facial recognition.

Broadcasting

1-5 years: the death of one-size-fits-all broadcasting (variety of consump options; Google likely buys rights for a major league)
5-10 years: divergence (news content comes from leagues, franchises, players, fans)
10-25 years: the convergence (fans re-integrate content from various sources and share)

Major networks lose control over content (to leagues, players, franchises, fans).
Influence of network commentators and journalists wanes due to social media access.
Major online platform (probably Google) buys multiyear broadcast rights for a league.

Fans access content from many sources all at once.
Fans integrate these streams into seamless, coherent, personalized viewing experiences.
Watch a game via VR headset from the perspective of your favorite player.

E-Sports and Fantasy Sports

1-5 years: talent ecosystem emerges
5-10 years: better controllers
10-25 years: indistinguishable remote and in-person gameplay

Celebrity gamers challenge traditional sports stars for adulation.
Pro sports leagues embrace gaming.
Talent eco-systems supporting esports (coaches, high school teams, ranking, etc).
Hand-held controllers replaced by body movement and sensors.
Tactile feedback interfaces and AR/VR enable remote play.

The Fan

1-5 years: increasingly responsive
5-10 years: fan-recorded content
10-25 years: increased fan input (extension of 1-5yr forecast above – more strategy decisions, like scouting)

Forced crowdsourcing of critical decisions, like whether to fire a player or coach after a scandal.

When every fan is wearing a high-quality video device, fans become a prime source for broadcast and replay material.

Team-designated ombudsmen will represent fans in major team decisions, and complex algorithms will predict fan reactions.

Extreme Adventure Sports

1-5 years: extreme sports league
5-10 years: robot experiments
10-25 years: sports zones

Extreme sports will adapt a more formalized competition format.

Robot trials will be run before humans perform to improve safety. Later, robotic exoskeletons and self-powered body suits further reduce injuries and death.

Designated competition areas in national wilderness areas.

Payments and Ticketing

1-5 years: move to digital
5-10 years: paper tickets go away (Apple establishes its own banking technology)
10-25 years: end of the line (no standing in lines for anything)

Leagues with their own digital currencies (probably NOT based on Bitcoin).

Seats chosen based on social media contacts, and social goals (families together, singles together, etc).

Fanbase Economics

1-5years: women’s sports apparel expansion
5-10 years: job displacement
10-25 years: increased displacement of low-end workforce

Marketing focuses more on upper-mid-class women as mid-class wealth wanes.

As more fans are priced out of live games, “third venues” emerge. AR enables life-size replays up close in 3D theatrical venues

Src:
The Future of Sports.” Josh McHugh, Po Bronson, Ethan Watters (editors). September 2015. Delaware North.

Acknowledgements:
Singularity University (Paul Saffo, Salim Ismail, Aaron Frank), Kamran Rosen (reporting and research), Gary Bettman, Wendy Selig, Ted Leonsis, Future Cities Lab, Clay Coffey, Luke Bronson, Blaise Zerega, SF Elite Academy, Rick Abramson, Amy Latimer, Todd Merry, Chuck Moran, John Wentzell, Garrett Law, Peter White, Roger Noll, Mark Charles, Margaret Johnson

For background on the motivation for the report, see:
Bruins owner spearheads report on what sports will look like in 25 years.” Erik Brady. January 26, 2016. USA Today.

*

Many of the ideas above are echoed in a May 2015 article from the Stanford Graduate School of Business. In particular we’re already seeing line-optimization, seat-optimization, on-demand on-device replays, big growth in digital tickets, women and children as a key demographic.

Src:
Five Trends Shaping the Future of Sports.” Ian Chipman. May 2015. Stanford Graduate School of Business

Tags: , , ,

Posted by cc on February 5, 2016 at 10:34 pm | comment count



Energy Mix, Consumption, Prices, Emissions


Overview

Energy mix forecasts looking out 15 to 35 years are available from a handful of governmental, industry, and independent sources. The excerpts below are preceded by my brief notes, in italic, introducing the source.

General consensus: oil, gas, and coal continue to dominate the energy mix. Gas grows substantially; oil and coal are either level or decreasing. Renewables show the highest growth rates. Amongst renewables, solar shows the greatest growth. Energy intensity (or consumption per capita) decreases.

In addition to energy mix, the figures below also include forecasts for overall usage, intensity (per capita usage), prices, residential sources, and emissions.

Findings

U.S. Energy Information Administration

The U.S. Energy Information Administration (EIA) presents energy forecasts for a range of cases in its Annual Energy Outlook. The excerpts below refer to the Reference Case, wherein GDP grows at an average annual rate of 2.4%, and current laws and regulations remain basically the same. This is the “business as usual” scenario. Forecasts for five other scenarios are presented in the report, but are not excerpted here.

EIA-AEO2015-primary-energy-consump-by-fuel-2040
Total primary energy consumption grows in the AEO2015 Reference case by 8.6 quadrillion Btu (8.9%), from 97.1 quadrillion Btu in 2013 to 105.7 quadrillion Btu in 2040 (Figure 18).
data available here
web chapter here

EIA-AEO-energy-per-capita-dollar-emissions
Energy intensity (measured both by energy use per capita and by energy use per dollar of GDP) declines in the AEO2015 Reference case over the projection period (Figure 19).
data available here
web chapter here

EIA-AEO-residential-commercial-energy-consump-2040
Delivered energy consumption decreases at an average rate of 0.3%/year in the residential sector and grows by 0.6%/year in the commercial sector from 2013 through 2040 in the AEO2015 Reference case (Figure 14 and Figure 15). Over the same period, the total number of households grows by 0.8%/year, and commercial floorspace increases by 1.0%/year (Table 4).
data available here and here
web chapter here

EIA-AEO-residential-consump-source-2040

EIA-AEO-residential-intensity-end-use-2040
End-use energy intensity, as measured by consumption per residential household or square foot of commercial floorspace, decreases in the Reference case as a result of increases in the efficiency of equipment for many end uses (Figure 16 and Figure 17). Federal standards and voluntary market transformation programs (e.g., Energy Star) target uses such as space heating and cooling, water heating, lighting, and refrigeration, as well as devices that are rapidly proliferating, such as set-top boxes and external power supplies.
data available here
web chapter here

Src:
U.S. Energy Information Administration. April 2015. “The Annual Energy Outlook 2015.” DOE/EIA-0383(2015)

Contacts
Director: John J. Conti john.conti@eia.gov
General questions: Paul Holtberg paul.holtberg@eia.gov
[more contacts listed in the report TOC]

*

World Energy Council

The World Energy Council (WEC) is the UN-accredited global energy body comprised by more than 3000 member organizations drawn from governments, private and state corporations, academia, NGOs and energy-related stakeholders. WEC publishes many recurring reports, but in 2013 it released a set of projections to 2050.

The report focuses on two scenarios: a more consumer-driven scenario (called “Jazz”), and a more voter-driven scenario (called “Symphony”). Jazz has a focus on energy equity with priority given to achieving individual access and affordability of energy through economic growth. Symphony has a focus on achieving environmental sustainability through internationally coordinated policies and practices.

Primary Energy Mix, 2010 and 2050 (Jazz and Symphony)
2010 2050 Jazz 2050 Symphony
Fossil fuels (coal, oil, gas) 79% 77% 59%
Renewables 15% 20% 30%
Nuclear 6% 4% 11%

 

World Energy Council Jazz and Symphony Projections for North America, 2010-2040
2010 2020 2030 2040 2050 2020 2030 2040 2050
Total Primary Energy Supply (EJ/y) 116 128 135 136 130 118 114 108 105
Total Electricity Generation (TWh/y) 5,214 6,152 6,903 7,728 8,024 6,100 6,733 7,695 8,057
Carbon Price (US$2010/tCO2) 8 15 21 28 21 28 55 70
CO2 – Emissions (GtCO2/y) 6.5 7.2 7.3 7.2 6.7 6.2 5.4 4.4 3.1
Carbon Capture, Use And Storage (GtCO2/y) 0.0 0.0 0.0 0.1 0.2 0.0 0.1 0.3 1.1

10 Key Messages

    Energy system complexity will increase by 2050.
    Energy efficiency is crucial in dealing with demand outstripping supply.
    The energy mix in 2050 will mainly be fossil based.
    Regional priorities differ: there is no ‘one-size-fits-all’ solution to the energy trilemma.
    The global economy will be challenged to meet the 450ppm target without unacceptable carbon prices.
    A low-carbon future is not only linked to renewables: carbon capture, utilisation and storage (CC(U)S) is important and consumer behaviour needs changing.
    CC(U)S technology, solar energy and energy storage are the key uncertainties up to 2050.
    Balancing the energy trilemma means making difficult choices.
    Functioning energy markets require investments and regional integration to deliver benefits to all consumers.
    Energy policy should ensure that energy and carbon markets deliver.

Scenarios are alternative views of the future which can be used to explore the implications of different sets of assumptions and to determine the degree of robustness of possible future developments. While most widely known scenarios are normative, the WEC has adopted a different, exploratory approach. ‘Normative’ in this context means that the scenarios are being used to drive the world towards a specific objective such as a particular atmospheric CO2 level. In contrast, the WEC with its exploratory scenarios Jazz and Symphony, attempts to provide decision makers with a neutral fact-based tool that they will be able to use to measure the potential impact of their choices in the future.

This approach can only be done successfully by a network like the WEC’s with its impartial and inclusive membership structure. Over 60 experts from more than 28 countries have contributed to the WEC’s scenario building process over a period of three years.

Src:
World Energy Council. 2013. “World Energy Scenarios: Composing Energy Futures to 2050

*

BP

BP produces a 20-year forecast based on a single, most-likely growth trajectory.

BP-consump-by-type-2035
Oil consumption declines 0.5% p.a. over the Outlook as a result of falling demand in the transport sector. Coal declines by 2.9% p.a., driven by more aggressive environmental policies and competitively priced natural gas. Nuclear (-0.6% p.a.) demand also declines over the Outlook. Natural gas is the only fossil fuel to grow over the Outlook (1.3% p.a.). Renewables are the fastest growing group of fuels, increasing by 5.1% p.a.. Hydro-electric power increases 0.6% p.a., faster than total energy demand.

BP-primary-energy-shares-2035
Shares of fossil fuels in the energy mix decline from 83% today to 78% by 2035. Shares of renewables (including biofuels) increase from 3% in 2013 to 10% in 2035, while hydro remains stable throughout the Outlook at 6% and nuclear remains near 8% until losing market share in the last few years of the Outlook. Shares of natural gas grow from 30% in 2013 to 37% in 2035, overtaking oil as the leading fuel around 2025. More than half of the increase in energy demand from 2013-2035 is met by natural gas. Oil’s market share declines throughout the Outlook, reaching just 31% by 2035, the lowest share on record and down from a high of 48% in 1977. Coal’s share drops to just 9%, also the lowest on record. Renewables overtake coal as the third largest fuel by market share by the end of the Outlook.

BP-GDP-energy-emissions-2035
Continuing declines in energy intensity – the broadest indicator of improving energy efficiency across the economy – leads to a marked widening in the gap between GDP and energy consumption. Energy intensity declines by 39% by 2035 (-2.2% p.a.). Total carbon emissions from energy consumption decrease by 9% between 2013 and 2035 (-0.4% p.a.), with the rate of decline speeding up in the last half of the outlook, (-0.7% p.a. from 2025 to 2035).

Src:
BP. February 2015. “Energy Outlook 2035: Focus on North America.”
Excel tables (49.8KB)
Country Insights: US

*

The International Renewable Energy Agency

The International Renewable Energy Agency (IRENA) is an intergovernmental organisation that supports countries in their transition to a sustainable energy future, and serves as the principal platform for international co-operation, a centre of excellence, and a repository of policy, technology, resource and financial knowledge on renewable energy. As of December 2015, there are 144 member states, including the US.

The following excerpts come from a report on renewable energy sources and consumption in the US. Although the report focuses on the potential to dramatically increase renewable energy, the excerpts here highlight it’s projections for conservative, or business as usual, usage of renewables. The data in their report is from the US Energy Information Agency.

In 2010, the US was the second largest energy consumer in the world with a total final energy consumption (TFEC) of 64 exajoules (EJ), equivalent to 19% of the global TFEC (IEA, 2013a). The US TFEC is projected to remain stable in the period between 2010 and 2030 growing by only 4% according to US Energy Information Agency‘s Annual Energy Outlook (AEO) (US EIA, 2013a). In the same time period, based on current policies or the Reference Case according to this study, the US share of renewable energy in the TFEC will only grow from 7.5% in 2010 to 10% in 2030, driven mostly by an increase in renewable power generation.

The Reference Case for the US was based on the U.S. Energy Information Agency’s “Annual Energy Outlook 2013”

Renewable energy share in TFEC of the US stood at 7.5% in 2010 (the base year of REmap 2030 analysis). This included 2.4% renewable power, 1.6% liquid biofuels and the remainder (3.4%) largely solid biomass in industry and building heating.

IRENA-primary-renewable energy-1970-2030

IRENA-renewable-shares-by-sector-2030

Src:
IRENA. 2015. “Renewable Energy Prospects: United States of America, REmap 2030 analysis.”



Smart Clothing and Fitness Devices


Summary

Smart clothing seems to be just around the corner, with several companies already selling specialty items (athletic wear, baby clothes, etc) embedded with sensors. However, quantitative forecasts describing the prevalence of smart clothing in the next 10 years or so are hard to find. Gartner made a forecast to 2016 back in 2014. Tractica has a forecast to 2020. Both forecasts describe millions of units shipped worldwide. Although it’s difficult to extrapolate market penetration, both reports suggest that smart clothing will be more prevalent than wearable devices. Other research firms and analysts are skeptical of such a swift uptake by smart garments, instead forecasting dominance by other wearable devices.

Research Excerpts

Tractica forecasts that smart clothing shipments will grow from 140,000 units in 2013 to 10.2 million units by 2020, while body sensor shipments will decrease from 3.0 million units in 2013 to 1.2 million by 2017, before rising again to 3.1 million units in 2020.

Src:
Tractica. May 4, 2015. “The Wearable Devices Market is Poised for Expansion into Smart Clothing and Body Sensors.”
Executive Summary
Chart from above report:
Tractica-smart-clothes-worldwide-units-2020
[via Global Information]

*

Worldwide Wearable Electronic Fitness Devices Shipments (millions of units)
Device Category 2013 2014 2015 2016
Smart Wristband 30 20 17 19
Sports Watch 14 18 21 24
Other Fitness Monitor 18 20 12 15
Chest Strap 11 12.1 8 7.3
Smart Garment 0.01 0.1 10.1 26
Total Market 73.01 70.2 68.1 91.3

Src:
Gartner. November 18, 2014. “Gartner Says in 2015, 50 Percent of People Considering Buying a Smart Wristband Will Choose a Smartwatch Instead.”

Note: Angela McIntyre, Gartner research director – gave an interview to The Guardian. Might be available for comment.

*

Growth will be “largely driven by the sales of wrist-based trackers, while hundreds of thousands of connected garments used by professional sports teams showcase wearable technology’s most advanced capabilities.” Hundreds of thousands of thousands of connected garments is hardly a drop in the ocean compared to the millions of Fitbits, Xiaomis, Apple Watches, Jawbones and other devices which will be coining in the revenue by 2020. [emphasis mine]

Src:
James Stables. November 18, 2015. “Juniper Report Skeptical on Smart Clothing but Says Fitness Trackers are Set to Soar.” Wearable.com.

*

In our latest smart glasses report, we expect over 3 million smart glasses to be in use in enterprise by 2018, with nearly 6 million users. [worldwide, I think]

Src:
Juniper Research. 2015. “The World In 2020 – A Technology Vision.”

Note: The White paper seems to be referring to this paid research report.

*

technalysis-combined-wearables-2020

The US market for wearables is forecast to evolve more quickly than worldwide, leading to a peak of 68.3 million units in 2019, then dropping to 62.9 million in 2020.

Smart watches will be the top category as of this year in the US, followed by smart bands/bracelets.

In 2020, headworn wearables are expected to become the number two segment.

Src:
Bob O’Donnell. May 2015. “The Slow Build: Smart Wearables Forecast, 2014-2020.” Technalysis Research.

Note: This report does not include clothing with embedded sensors. Bob O’Donnell is skeptical of the ability of smart clothing to surpass other wearables in the foreseeable future.



Clothing Expenditures and Prices


Overview

The Bureau of Labor Statistics tracks apparel expenditures as well as indexed prices (CPI – prices relative to a base year, not actual prices). Apparel includes a broad range of subcategories. Where available, we have also sought item-level data, using men’s Tshirts as an exemplar. Expenditure data is available going back to 1990. CPI data is available going back to 1947. Tshirt CPI data is available back to 1997 (possibly earlier – awaiting clarification from BLS). No forecasts found.

Findings

Clothing Expenditures – 1990-2014

The apparel and services category had one of the largest increases in 2014.

Average expenditures per consumer unit in 2014 were $53,495, a 4.7percent increase from 2013 levels, the U.S. Bureau of Labor Statistics reported today. During the same period, the Consumer Price Index (CPIU) rose 1.6 percent(1). In 2013, spending decreased 0.7 percent. Average pretax income per consumer unit increased at about the same pace as expenditures, up 4.8 percent from 2013.

Consumer units include families, single persons living alone or sharing a household with others but who are financially independent, or two or more persons living together who share expenses.

Srcs:
[embedded in chart above]

Note: The “Apparel and Services” category includes apparel and footwear for adults, children, and babies (including sportswear, and uniforms), as well as material for making clothes, shoe repair, alterations, sewing patterns and notions, clothing rental, storage, dry cleaning and sent-out laundry, watches, jewelry, and repairs to watches and jewelry.

Src:
Consumer Expenditure Survey Glossary, Bureau of Labor Statistics

*

Consumer Price Index, Apparel – 1947-2014
CPI-Apparel
(click for larger)

Src:
US. Bureau of Labor Statistics, “Consumer Price Index for All Urban Consumers: Apparel [CPIAPPSL].” Retrieved from FRED, Federal Reserve Bank of St. Louis, November 18, 2015.

Note: Data available for download.

*

Shirt CPI 1998-2014

Men’s shirts and sweaters (SEAA03)
Series ID: CUUR0000SEAA03
base period: 1997
Annual average:
1998 100
1999 98.6
2000 98.3
2001 93.9
2002 88.8
2003 85.2
2004 85.3
2005 84.2
2006 84.7
2007 82.53
2008 80.444
2009 80.968
2010 78.642
2011 79.583
2012 82.224
2013 82.876
2014 80.973

Src:
“Consumer Price Index – All Urban Consumers.” Custom table, November 19, 2015. Bureau of Labor Statistics.

Nicole Rope, of the BLS CPI Apparel division, warns that there is much more volatility in individual clothing items that in the category on the whole (and more so compared with other items in other categories). She offers to speak with us if we have any other questions about apparel. 202-691-5395.

She also said that the Information and Analysis Section might also be helpful. Ken Stewart, manager, x6966. Steve Reed, senior economist x5378. They would be able to let us know if data older than 1997 is available. Shirt data was collected before that, but under a different name/definition.

UPDATE: Steve Reed shared the following data by email. He said that price data (not index data) older than 1977 may be available on an inconsistent basis. He will followup with whatever he can find later in December or January.

Annual Average CPI for Men’s Shirts 1978-1997
Series Id: MUUR0000SE3604
Not Seasonally Adjusted
Area: U.S. City Average
Item: Men’s shirts
Base Period: 198284=100
1978 81
1979 84.3
1980 91.4
1981 95.4
1982 98.4
1983 99.3
1984 102.4
1985 106.3
1986 107.1
1987 113.7
1988 119.9
1989 123.2
1990 128.1
1991 132.3
1992 135.3
1993 134.1
1994 131.5
1995 133
1996 135.3
1997 138.1

*

T-Shirt Prices – Misc dates 1938-2013

Based on old Sears catalogs featuring men’s white undershits
1938 .24 ($3.97 in 2013)
1945 .79 ($10.22 in 2013)
1955 .79 ($6.87 in 2013)
1970 1.492 (8.9512.01 in 2013)
1990 3.10 (Hanes)
2010 1.90 (Hanes)
2013 2.33 (Hanes)

Src:
Samantha Sharf. July 2, 2013. “The TShirt Turns 100.” Forbes.

Tags: , , , , , ,

Posted by cc on December 2, 2015 at 12:55 am | comment count



Tech Research Firms’ Annual Predictions


NYT’s Bits blog covered the recently released annual prediction reports from IDC, Gartner, and Forrester. IDC and Gartner’s reports include several 35 year predictions. Forrester’s report focuses on 2016, but reinforces the predictions of the other firms.

Although we’re generally after forecasts that address the everyday life of the average American, the forecasts in this set have broad economic and employment implications that certainly will affect a large number of people, and certainly the technology tools we use every day.

IDC’s report features several predictions for the 20182020 period, meant to provide guidance for business and industry strategists in the coming year. Here are a few excerpts via Bits as well as the original report:

•By 2018, corporations pursuing digital transformation strategies would “more than double the size of their software development teams.”

•By 2018, the number of Internet of Things devices will more than double, prompting the development of 200,000 new apps. By 2020, devices will triple and apps will exceed 250,000.

•By 2018, 65% of all IT assets used by companies will be housed offsite in collocation, hosting, and cloud data centers and one third of IT “staff” will actually be employees of organizations’ third party managed service providers.

•By 2020, more than 30 percent of today’s tech suppliers will “not exist as we know them today,” having been acquired or failed.

•By 2020, spending on cloud services and related hardware and software will be more than $500 billion, three times the current level.

•By 2020, providers of underlying cloud infrastructure will significantly consolidate,” with “six or fewer cloud platform vendors” holding 80 percent or so of the market. Probably Amazon, Microsoft, Google, Salesforce, IBM, Alibaba and Tencent.

•By 2020, over 70% of 3rd Platform IT spending will be driven by doing entirely new things, rather than on using new technologies to do traditional things in a new way.

•By 2020, 50% or more of e-commerce transactions will be enabled or influenced by Facebook and other regional social network leaders (e.g., Tencent’s Weibo in China).

•By 2020, one of the more frenetic IoT segments, wearables, will consolidate, as over half of today’s players will exit the market.

 

Gartner issued a similar set of predictions to 20182020, including the following:

•By 2018, 20 percent of business content will be authored by machines (eg: shareholder reports, legal documents, market reports, press releases, articles and white papers).

•By 2018, six billion connected things will be requesting support.

•By 2018, more than 3 million workers globally will be supervised by a “robo-boss.”

•By year-end 2018, 20 percent of smart buildings will have suffered from digital vandalism.

•By 2018, 45 percent of the fastest growing companies will have fewer employees than instances of smart machines (eg: fully automated supermarket, drone-only surveillance services).

•By year-end 2018, customer digital assistant will recognize individuals by face and voice across channels and partners.

•By 2018, two million employees will be required to wear health and fitness tracking devices as a condition of employment (eg: emergency responders, pro athletes, political leaders, airline pilots, industrial workers, remote field workers).

•By 2020, autonomous software agents outside of human control will participate in five percent of all economic transactions (eg: banking, insurance, markets, exchanges, crowdfunding).

•By 2020, smart agents (virtual personal assistants) will facilitate 40 percent of mobile interactions, and the post-app era will begin to dominate.

•Through 2020, 95 percent of cloud security failures will be the customer’s fault.

 

Forrester’s report only looks out as far as 2016, and doesn’t offer as many numeric predictions, but the concepts are similar. Excerpts:

•Leaders will understand and anticipate individual needs to deliver personalized experiences, sharply increasing their lead in the market.

•We will see extraordinary leadership disruption as companies adapt to a customer-led market.

•Leaders will invest in culture to accelerate both the pace of change and their speed of business.

•Cutting-edge algorithms will give leaders a leg up over competitors drowning in data and using run-of-the-mill analytical tools.

•Privacy will move from a niche consideration to a value to which customers will respond.

 

Sources

Steve Lohr. November 4, 2015. “Digital Transformation Going Mainstream in 2016, IDC Predicts”. Bits. New York Times.

Frank Gens. November 2015. “IDC FutureScape: Worldwide IT Industry 2016 Predictions — Leading Digital Transformation to Scale.” IDC #259850.

October 6. “Gartner Reveals Top Predictions for IT Organizations and Users for 2016 and Beyond.” Gartner.

October 2015. “The 2016 Top 10 Critical Success Factors To Determine Who Wins And Who Fails In The Age Of The Customer.” Forrester.



Population and Fertility Projections


Future population growth is highly dependent on the path that future fertility will take and according to the World Population Prospects, 2015 Revision (United Nations), global fertility is projected to fall from 2.5 children per woman in 2010-2015 to 2.4 in 2025-2030 and 2.0 in 2095-2100.

Even assuming that fertility levels will continue to decline, the global population is still expected to reach 8.5 billion in 2030, 9.7 billion in 2050 and 11.2 billion in 2100, according to the medium projection variant. In 2016, it is projected that 83 million people will be added to the world’s population. 

In the United States, fertility is projected to rise from 1.89 children per woman in 2010-2015 to 1.92 in 2045-2050. Below is a world map of Total fertility, 2050-2055.

Other key findings:

populationselectedagegroups medianage

  • Continued population growth until 2050 is almost inevitable, even if the decline of fertility accelerates. There is an 80 per cent probability that the population of world will be between 8.4 and 8.6 billion in 2030, between 9.4 and 10 billion in 2050 and between 10 and 12.5 billion in 2100.
  • Globally, the number of persons aged 60 and above is expected to more than double by 2050 and more than triple by 2100, increasing from 901 million in 2015 to 2.1 billion in 2050 and 3.2 billion in 2100. Sixty-six per cent of the increase between 2015 and 2050 will occur in Asia, 13 per cent in Africa, 11 per cent in Latin America and the Caribbean, and the remaining 10 per cent in other areas.
  • The number of persons aged 80 or over is projected to more than triple by 2050 and to increase more than seven-fold by 2100. Globally, the number of persons aged 80 or over is projected to increase from 125 million in 2015 to 434 million in 2050 and 944 million in 2100. In 2015, 28 per cent of all persons aged 80 and over lived in Europe, but that share is expected to decline to 16 per cent by 2050 and 9 per cent by 2100 as the populations of other major areas continue to increase in size and to grow older themselves.
  • Globally, the median age is projected to increase from 30 to 36 years between 2015 and 2050 and to 42 years in 2100. The median age is higher in countries or regions that have been experiencing low fertility for a long time. Europe today has the oldest population, with a median age of 42 years in 2015, which is expected to reach 46 years in 2050 and then 47 years in 2100. By comparison, the median age for the least developed countries as a whole is 20 years in 2015 and is projected to reach 26 years in 2050 and 36 years in 2100.
  • Data Source: World Population Prospects (The 2015 Revision), Department of Economic and Social Affairs, Population Division, United Nations

    Tags: , , , , ,

    Posted by Claudia Lamar on December 1, 2015 at 10:07 pm | comment count



    Life expectancy at birth in 2050


    The Department of Economic and Social Affairs of the United Nations provides population projections for the period 2015-2100. Projections are presented for five-year periods. Below are world maps of life expectancy at birth for females and males, 2050-2055.

    In the United States, life expectancy at birth for females is projected to rise 10 years from 80-85 years in 2015 to 90-95 years in 2050. For men, it will rise 10 years from 75-80 years to 80-85 years.

    Screen Shot 2015-11-30 at 3.39.03 PM

    Screen Shot 2015-11-30 at 3.39.18 PM

     

    Data Source: World Population Prospects: The 2015 Revision

    Tags: , , , ,

    Posted by Claudia Lamar on at 12:33 am | comment count