55
MANUFACTURING: MACHINERY U.S. Industry Report 2016 - NAICS 333 -
MANUFACTURING: MACHINERY
U.S. Industry Report 2016
- NAICS 333 -
Note: Content may vary between reports 2
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Food & Beverages
Transportation
Real Estate Management summary
Opportunities Weaknesses
Key figures at a glance
Most recent available data More countries, e.g. Germany
Ongoing expansion of coverage Screening of all relevant sources
Shipments
GDP development
Digital opportunities
Imports & exports
Value added
Development
Selected key players
Segment comparison
Establishment births & deaths
Number of firms & establishment
Number of employees
Number of degrees
Annual mean wage
Average weekly hours
Unemployment rates R&D intensity & spend
Number of patents CAPEX Domestic R&D employment by gender
Detailed definitions
List of sources
Description of forecast methods
Manufacturing Health Care
Retail Construction Car Dealers
Education
Restaraunts & Nightlife
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Drugstores Strengths Threats
Trends
Quotes on industry development
Consumer & business insights Industry definition
Revenues
Forecasts
Industry benchmarks
Segment comparison
Distribution by state
Gender split
Surveys
Index of figures
Standardized agenda
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AGENDA
Introduction
› Industry definition
› Management summary
› Selected key figures
› SWOT analysis
› CEO quotes
Financial Numbers
Companies
Innovation & Research
Employees & Salaries
Appendix
› Industries in subsector 333 create end products that apply mechanical force, for example, the application of gears and levers, to perform work. Some important processes for the manufacture of machinery are forging, stamping, bending, forming, and machining that are used to shape individual pieces of metal. Processes, such as welding and assembling are used to join separate parts together.
› Although these processes are similar to those used in metal fabricating establishments, machinery manufacturing is different because it typically employs multiple metal forming processes in manufacturing the various parts of the machine. Moreover, complex assembly operations are an inherent part of the production process.
5
Machinery manufacturing – NAICS 3332 Subcategories included in this report1
DEFINITION OF THE “MACHINERY MANUFACTURING” INDUSTRY Based on the North American Industry Classification System (NAICS)
NAICS Subcategory
3331 Agriculture, Construction, and Mining Machinery Manufacturing
3332 Industrial Machinery Manufacturing
3333 Commercial and Service Industry Machinery Manufacturing
3334 Ventilation, Heating, Air-Conditioning, and Commercial Refrigeration Equipment Manufacturing
3335 Metalworking Machinery Manufacturing
3336 Engine, Turbine, and Power Transmission Equipment Manufacturing
3339 Other General Purpose Machinery Manufacturing
Innovation & Research Employees & Salaries Companies Financial Numbers Introduction Appendix
1 For a detailed description of the subcategories in NAICS Code 333 see Appendix (sub-subcategories); 2: A more detailed definition can be found in the appendix
6
MANAGEMENT SUMMARY Machinery manufacturing
› Machinery is one of the most competitive and well-established industries of the U.S. manufacturing, but this industry is also highly sensitive to negative global economic developments.
› Recent years were difficult for the industry: slow economic growth in export markets and strong U.S. dollar caused a sales decrease in all machinery manufacturing subcategories.
› The machinery manufacturing industry realized a total value of shipments of US$386 billion in 2015, a decrease of 3.5% from 2014.
› We forecast the annual compound growth rate from 2015 to 2020 to be at 0.8%.
› Agriculture, construction, and mining machinery manufacturing is the biggest subcategory in machinery manufacturing accounting for 28.9% of the industries total value of shipments.
› Within the machinery manufacturing industry the U.S. has a negative trade balance in 2015, importing 14% more in value that it exports – most imports come from Asia.
› The industry was comprised of more than 21 thousand firms in 2014, their number has barely changed since 2013.
› Employment numbers in the industry decreased by 0.5% from 2014 to 2015 resulting in 1,122 thousand employees earning an average salary of US$53.1 thousand.
Ksenia Striapunina studied Finance in Hamburg and Engineering Management in Russia. Volker Staffa studied Business with focus on Logistics and Supply Chain Management in Hamburg and Rhode Island.
Combined they have 7,5 years of experience as analysts.
Volker has been writing Industry Reports for Statista since 2012, while Ksenia joined Statista this year after several years in consulting.
We wish you a valuable and insightful reading experience.
Innovation & Research Employees & Salaries Companies Financial Numbers Introduction Appendix
Volker Staffa Ksenia Striapunina
Analyst Analyst
7 1: Compound Annual Growth Rate; 2: 2014 data
KEY FIGURES AT A GLANCE Machinery manufacturing in 2015
Value of shipments
Innovation & Research Employees & Salaries Companies Financial Numbers Introduction Appendix
Companies
People
Number of firms2
21,4482
People employed
1,122 k
Annual mean wage
US$53.1 k
Total value
US$386 bn
Growth 2014 – 2015
- 3.5%
CAGR1 forecast 2015 – 2020
0.8%
Selected key players in the industry
Strengths Weaknesses Opportunities Threats
SWOT ANALYSIS
Innovation & Research Employees & Salaries Companies Financial Numbers Introduction Appendix
8
Manufacturing: Machinery
› Highly competitive and fragmented market: numerous companies manufacture machinery in the U.S. a large share being SMEs
› Product lifespan: firms have experienced difficulty with the increasing pace of innovation making it more and more difficult to reap the benefits of R&D investments
› Access for U.S. machinery manufacturers to some growth markets due to foreign governments’ import substitution policies
› Unfavorable tax policies affect R&D spending
› Technological strength: long-term investments have made it one of the most technologically advanced in the world
› Major players have cash on hand to finance R&D as well as market expansion
› The number of professional degrees (Bachelor, Master, PhD) in the field of “Mechanical Engineering” is steadily increasing within the last decade
› Analysts expect a rising revenue trend since sectors like automotive, construction, food industry and building sector are demanding for machines
› Foreign competition remains a serious threat to U.S. machinery manufacturing as both compete for new and growing markets
› Industry R&D costs are expected to increase as competition for research talent grows
› Machinery manufacturing as energy-intensive industry will profit from falling energy costs and costs for transportation
› Agricultural machine production may face a consistent decline in sales as the customers will suffer from overproduction of crops and falling prices
› Vertical integration is an opportunity to lower expenses and increase production and supply efficiency
› U.S. machinery industry will continue to benefit from advanced research in machinery engineering and other scientific disciplines carried out by numerous American top universities
› Strong growth of U.S. export markets like India, Peru, China, Chile, and South Africa will continue to be an important driver
› Fracking boom will continue to yield a high demand in machines production and pipeline transportation
2015 was a difficult year for the industry: Decline in oil prices, weakening economic growth in export markets and strong U.S. dollar led to sharp decrease in new mining- and drilling-related equipment orders.
9 1: as of December 2015 (over previous year) Sources: US Census Bureau
U.S. MACHINERY MANUFACTURING SECTOR AFFECTED BY DECLINING NEW ORDERS Chief executive quotes on the latest industry development
Change in the total value of new orders for the U.S. machinery industry in 20151
Innovation & Research Employees & Salaries Companies Financial Numbers Introduction Appendix
2016 is going to be rough and challenging again.
- Doug Oberhelman, CEO Caterpillar
The market is cautious but we’re not looking at the great recession time.
- John Garrison, CEO Terex Mining, oil field and gas field machinery
-46%
Turbines, generators, other power transmission equipment
-11%
Machinery (in total) -7%
Photographic equipment -7%
Industrial machinery -4%
Ventialtion, heating, air-conditioning, refrigeration equipment
-2%
Construction machinery -1%
Material handling equipment 9%
Metalworking machinery 15%
AGENDA
Financial Numbers
› Development of shipments
› Comparison of industries’ shipments
› Shipments by subcategory
› Most over- and under-performing subcategories
› Imports and exports over time and by region
› GDP and contribution by industry
› Growth rate of GDP and growth rate of value added by industry
› States experiencing the industry‘s highest value added numbers
Introduction
Companies
Innovation & Research
Employees & Salaries
Appendix
11 1: Includes the received or receivable net selling values, “Free on Board” plant (exclusive of freight and taxes), of all products shipped, both primary and secondary, as well as all miscellaneous receipts; 2: Compound Annual Growth Rate Source: U.S. Census Bureau (Manufacturers' Shipments, Inventories, and Orders), International Monetary Fund, Directorate General for Economic and Financial Affairs, Statista
Total value of shipments1 over time in billion US$
In 2015, the total value of shipments was US$386 billion. For 2016, we forecast the total value of shipments to total US$382 billion.
Compared to the previous year, this is a decrease of 1.0%.
For the 2015 to 2020 period, we expect the total value of shipments to increase by an annual average of 0.8%.
In comparison, the CAGR from 2008 to 2015 was +1.2%.
DECLINE IN TOTAL VALUE OF SHIPMENTS IN MACHINERY MANUFACTURING IN 2015
401415403394382386400394402
362
316287
355
+0.8%2
+1.2%2
2020 2019 2018 2017 2016 2015 2014 2013 2012 2011 2010 2009 2008
Statista forecast
Innovation & Research Employees & Salaries Companies Financial Numbers Introduction Appendix
12 1: Component Manufacturing Source: U.S. Census Bureau (Manufacturers' Shipments, Inventories, and Orders)
MACHINERY MANUFACTURING IS #5 IN VALUE RANKING OF MANUFACTURING INDUSTRIES Total value of shipments in 2015 of selected industries in billion US$
# NAICS Segment Shipments 2015
Growth 2014/2015
1 336 Transportation Equipment Manufacturing
969.7 +7.3%
2 325 Chemical Manufacturing 783.9 -0.6%
3 311 Food Manufacturing 773.8 -2.1%
4 324 Petroleum and Coal Products Manufacturing
525.3 -33.2%
5 333 Machinery Manufacturing 386.3 -3.5%
6 332 Fabricated Metal Product Manufacturing
355.3 -1.0%
7 334 Computer and Electronic Product Manufacturing
312.9 +2.7%
8 331 Primary Metal Man. 230.6 -12.5%
9 326 Plastics and Rubber Products Manufacturing
229.0 -2.6%
10 322 Paper Manufacturing 182.8 -2.2%
11 339 Miscellaneous Man. 160.9 +2.7%
# NAICS Segment Shipments 2015
Growth 2014/2015
12 312 Beverage and Tobacco Man. 146.0 +0.3%
13 335 Electrical Equipment, Appliance, and Comp. Man.1 121.7 -3.0%
14 327 Nonmetallic Mineral Product Manufacturing
114.2 +0.5%
15 321 Wood Product Man. 95.8 +0.7%
16 323 Printing and Related Support Activities
86.1 +3.3%
17 337 Furniture and Related Product Manufacturing
73.2 +5.3%
18 313 Textile Mills 30.9 -2.6%
19 314 Textile Product Mills 24.5 +0.7%
20 315 Apparel Manufacturing 12.1 +2.7%
21 316 Leather and Allied Product Manufacturing
4.7 -6.8%
Innovation & Research Employees & Salaries Companies Financial Numbers Introduction Appendix
13 1: Covers establishments with one or more paid employees or nonemployers that use leased employees for manufacturing Source: U.S. Census Bureau (Annual Survey of Manufactures)
AGRICULTURE, CONSTRUCTION, AND MINING MACHINERY GENERATE 29% OF VALUE Total value of shipments by subcategory1 in 2014 in billion US$
Growth 2013/2014 in %
+1.6% +2.8% +1.8 -2.6% +4.7% -0.4% -1.0% +4.2%
32.2 (8.0%)
Metalworking machinery
manufacturing
23.7 (5.9%)
50.4 (12.6%)
42.5 (10.6%)
104.5 (26.1%)
31.5 (7.9%)
400.4
Commercial and service industry
machinery manufacturing
Ventilation, heating, air-conditioning, and commercial
refrigeration equipment
manufacturing
Industrial machinery manufacturing
Engine, turbine, and power transmission
equipment manufacturing
Other general purpose machinery
manufacturing
Total Agriculture, construction, and mining machinery
manufacturing
115.6 (28.9%)
Innovation & Research Employees & Salaries Companies Financial Numbers Introduction Appendix
14 1: Covers establishments with one or more paid employees or nonemployers that use leased employees for manufacturing Source: U.S. Census Bureau (Annual Survey of Manufactures)
SUBCATEGORY PERFORMANCE IN THE INDUSTRY IS EVEN Most over- and under-performing subcategories1
-25
-20
-15
-10
-5
0
5
10
15
20
25
2008-2009 2010-2011 2012-2013 2013-2014 2009-2010
Ventilation, heating, air-conditioning, and commercial refrigeration equipment manufacturing
Industrial machinery manufacturing
Machinery Manufacturing Other general purpose machinery manufacturing
Agriculture, construction, and mining machinery manufacturing
Total value of shipments annual growth in %
Innovation & Research Employees & Salaries Companies Financial Numbers Introduction Appendix
15
1: General Imports, i.e. total physical arrivals of merchandise from foreign countries, based on customs value basis; generally defined as the price actually paid or payable for merchandise when sold for exportation to the U.S.; 2: F.A.S. (free alongside ship) value; exports based on the transaction price, including inland freight, insurance, and other charges incurred at the U.S. port of exportation; 3: Difference between exports based on F.A.S. values and general imports based on customs values Source: U.S. Census Bureau
TRADE BALANCE NEGATIVE IN 2015: IMPORT OF MACHINERY EXCEED EXPORTS Development of imports1, exports2 and trade balance3 in billion US$
Trade balance
-1.7% Growth of Imports 2014/2015 -9.0% Growth of Exports 2014/2015
2016 as of July
72.6
88.9
2015
138.8
158.2
2014
152.6 160.8
2013
150.1 146.8
2012
159.5 151.3
Exports Imports
Innovation & Research Employees & Salaries Companies Financial Numbers Introduction Appendix
+8.3 +3.3 -8.3 -19.4 -16.3
16 1: The value for the regions have been calculated by summing the relevant country values; due to rounding the total might not add up to the total value of the previous slide Source: U.S. Census Bureau
Imports and exports by region in 20151 in billion US$
TRADE BALANCE NEGATIVE IN 2015: MOST U.S. MACHINERY IMPORTS CAME FROM ASIA
Reading Aid: The U.S. imports goods from Europe worth US$47.8 billion and exports goods to Europe worth US$20.4 billion.
South America Africa Australia & Oceania
North America Europe Asia
13.9
28.8
47.8
20.4
68.4
38.8
32.0
19.2
4.3 0.2 0.6
4.6
U.S. Imports
U.S. Exports
Innovation & Research Employees & Salaries Companies Financial Numbers Introduction Appendix
17 1: Gross domestic product in current dollars; 2: Each industry's labor and capital added to its gross output and to the overall GDP of the United States; equals industry’s gross output minus its intermediate inputs Source: Bureau of Economic Analysis; International Monetary Fund, Statista
Development of GDP1 and contribution by sector2 in billion US$
MACHINERY MANUFACTURING CONTRIBUTED 0.9% OF GDP
2013
16,663
2007
14,478
2009
14,419
17,947
2015
-0.4% +7.6%
+7.4% +7.7%
2011
15,518
Administrative & Waste Mgmt. Services - 3.1%
Manufacturing - 12.1%
Educational Services - 1.1%
Finance & Insurance - 7.1%
Mining - 1.7%
Real Estate and Rental and Leasing - 13.2% Construction - 4.0%
Information - 4.8%
Utilities - 1.6%
Retail Trade - 5.8%
Wholesale Trade - 6.0%
Health Care and Social Assistance - 7.2%
Arts, Entertainment, and Recreation - 1.0%
Agriculture, Forestry, Fishing, & Hunting - 1.1% Transportation & Warehousing - 2.9%
Professional, Scientific, & Technical Services - 7.1%
Mgmt. of Companies & Enterprises - 2.0%
Accommodation and Food Services - 2.9%
Government - 12.9%
Other Services, except Government - 2.2%
Innovation & Research Employees & Salaries Companies Financial Numbers Introduction Appendix
2019
19,281
2017
+7.9% +8.9%
21,000 22,654
2021
GDP forecast
+7.4%
Share of GDP by sector in 2015
Share of Machinery Manufacturing:
0.9%
18 1: Gross domestic product In current dollars; 2: Each industry's labor and capital added to its gross output and to the overall GDP of the United States; equals industry’s gross output minus its intermediate inputs Source: Bureau of Economic Analysis
MACHINERY MANUFACTURING GROWTHS SLOWER THAN U.S. GDP Growth rate of GDP1 and growth rate of value added2 by industry
2014-2015
3.3%
1.4%
3.5%
2013-2014
3.6% 3.6% 4.1%
2012-2013
2.1% 2.0%
3.1%
2011-2012
4.0% 4.7%
4.1%
2010-2011
4.2%
12.0%
3.7%
Manufacturing Sector
Machinery Manufacturing
GDP
Innovation & Research Employees & Salaries Companies Financial Numbers Introduction Appendix
19 1: Each industry's labor and capital added to its gross output and to the overall GDP of the United States; equals industry’s gross output minus its intermediate inputs Source: Bureau of Economic Analysis
Top 10 states regarding value added1 in 2014 in billion US$
TEXAS, ILLINOIS AND CALIFORNIA HAD THE LARGEST VALUE ADDED IN 2014
Total
151.2
Other 41 States
55.5 (36.7%)
7.1 (4.7%)
Michigan
7.9 (5.2%)
Wisconsin
8.2 (5.4%)
Ohio
8.5 (5.6%)
California
11.5 (7.6%)
5.6 (3.7%)
15.9 (10.5%)
Texas
20.0 (13.2%)
New York
Indiana
5.4 (3.6%)
5.7 (3.7%)
Penn- sylvania
Iowa Illinois
Innovation & Research Employees & Salaries Companies Financial Numbers Introduction Appendix
AGENDA
Companies
› Selected key players in the industry
› Number of firms and establishments
› Number of firms and establishments by subcategory
› Number of establishments with paid employees per state
› Establishment births
› Establishment deaths
Introduction
Financial Numbers
Innovation & Research
Employees & Salaries
Appendix
21 Note: All data is from 2015 if not stated otherwise Source: company information; finanzen.net; Morningstar; Google Finance
1925 Founded in 1906 1837
Net sales in million US$
EBITDA in million US$
Market Capitalization in million US$
Number of Employees
Name of CEO
Listing ID/Exchange
47,011 18,045 28,863
Caterpillar Inc. Deere & Co. Xerox Corp.
6,995 1,825 4,843
39,575 10,766 24,155
105,700 143,600 57,200
Douglas R. Oberhelman Ursula M. Burns Samuel R. Allen
CAT/NYSE XRX/NYSE DE/NYSE
SELECTED KEY PLAYERS IN THE INDUSTRY
Innovation & Research Employees & Salaries Companies Financial Numbers Introduction Appendix
22 Source: U.S. Census Bureau
NUMBER OF FIRMS AND ESTABLISHMENTS DECREASED IN 2014 Total number of firms & establishments with paid employees over time
2014
23,872
21,448
2013
23,877
21,487
2012
24,157
21,772
2011
23,928
21,625
2010
24,255
21,944
2009
24,926
22,544
2008
26,016
23,575
Establishments Firms
Average number of establishments per firm
A firm is defined as that part of an enterprise tabulated within a particular industry. It consists of one or more domestic establishments in the same industry that were specified under common ownership or control. An establishment is a single physical location where business is conducted or where services or industrial operations are performed.
Innovation & Research Employees & Salaries Companies Financial Numbers Introduction Appendix
1.10 1.11 1.11 1.11 1.11 1.11 1.11
23 1: With paid employees; 2: See previous slide for definition of firms and establishments Source: U.S. Census Bureau
MOST NUMEROUS FIRMS ARE CONCENTRATED IN TWO MANUFACTURING SUBCATEGORIES Total number of firms1 & establishments2 by subcategory 2014
853
Ventilation, Heating, Air-Conditioning, and Commercial Refrigeration
Equipment Manufacturing 1,791
1,526
Commercial and Service Industry Machinery Manufacturing 2,018
1,900
Agriculture, Construction, and Mining Machinery Manufacturing 3,084
2,682
Industrial Machinery Manufacturing 3,272
3,118
Other General Purpose Machinery Manufacturing 6,033
5,378
Metalworking Machinery Manufacturing 6,609
6,388
Engine, Turbine, and Power Transmission Equipment Manufacturing 1,065
Average number of establishments per firm
Establishments Firms
Innovation & Research Employees & Salaries Companies Financial Numbers Introduction Appendix
A firm is counted once in every area that it operates an establishment; therefore, the sum of the number of subcategory firms does not
equal the total number of industry firms on the previous slide.
1.03
1.12
1.05
1.15
1.06
1.17
1.25
24 1: Single physical location where business is conducted or where services or industrial operations are performed; 2: Manufacturing Source: U.S. Census Bureau
MOST ESTABLISHMENTS ARE ON THE COASTS OR CLUSTERED IN THE GREAT LAKES REGION Number of establishments1 with paid employees per state in 2014
Hawaii 760
Alaska 529
Washington 6,929
Oregon 5,314
California 38,293
Montana 1,251
Idaho 1,753
Nevada 1,750 Utah
3,201
Arizona 4,224
New Mexico 1,350
Colorado 4,958
Wyoming 564
N. Dakota 762
S. Dakota 1,028
Nebraska 1,795
Kansas 2,831
Oklahoma 3,554
Arkansas 2,615
Missouri 5,946
Iowa 3,542
Minnesota 7,275
Wisconsin 8,858
Illinois 13,531
Miss. 2,167 Alabama
4,179
Georgia 7,351
Florida 12,912
S. Carolina 3,770
N. Carolina 8,721
Tennessee 5,632
Kentucky 3,755
Virginia 4,986
W. Virg. 1,204
Ohio 14,208
Indi- ana
8,036
Michigan 12,361
Pennsylvania 13,684
Maryland 3,001
New Jersey 7,537
New York
16,076
Maine 1,645
New Hampshire 1,806
Massachusetts 6,654
Rhode Island 1,432
Connecticut 4,198
District of Columbia 98
Vermont 989
Delaware 592
Texas 19,681
Loui-siana 3,255
1 to 1,999
2,000 to 6,999
7,000 to 12,999
More than 12,999
Total Number of Establishments:
292,543
Data is for NAICS code 31-332
Innovation & Research Employees & Salaries Companies Financial Numbers Introduction Appendix
NAICS Code 31-33 Data
25 1: Zero employment in the first quarter of the initial year and positive employment in the first quarter of the subsequent year; covers establishments with paid employees; 2: Business organization consisting of one or more domestic establishments that were specified under common ownership or control Source: U.S. Census Bureau
Number of establishment births1
Share of establishment births1 by enterprise2 size in 2012/2013
Reading Aid: 90.2% of the new establishments were founded by
enterprises with an employment size between 1 and 99.
The enterprise size classification is determined by the summed
employment of all associated establishments.
Establishment births in 2012/2013 increased
the number of employees by 17,355.
THE NUMBER OF ESTABLISHMENT BIRTHS DROPPED BY 14% IN RECENT PERIOD
2009-2010
1,089
2008-2009
1,114
2012-2013 2011-2012
1,219
2010-2011
-14.0%
1,254
1,048
5.4% 4.4%
90.2%
1 to 99
More than 499
100 to 499
Enterprise size by number of employees:
Innovation & Research Employees & Salaries Companies Financial Numbers Introduction Appendix
In addition to deaths, 6,755 establishments decreased their number of employees by a total of 55,067 in 2012/2013.2
26 1: Positive employment in the first quarter of the initial year and zero employment in the first quarter of the subsequent year; covers establishments with paid employees; 2: Decreased employment during the time period between the first quarter of 2012 and the first quarter of 2013 Source: U.S. Census Bureau
Number of establishment deaths1
Employment losses due to establishment deaths1
NUMBER OF ESTABLISHMENT DEATHS IS GOING DOWN FOR THREE PERIODS
1,216
2011-2012
1,246
2010-2011
1,423
2009-2010
1,932
-2.4%
2012-2013 2008-2009
1,888
+9.2%
2012-2013
22,681
2011-2012
20,777
2010-2011
24,616
2009-2010
31,680
2008-2009
35,760
Innovation & Research Employees & Salaries Companies Financial Numbers Introduction Appendix
AGENDA
Employees & Salaries
› Total number of employees and employee gender percentage
› Share of employees by sector
› Full-time equivalent employees and wage and salary accruals
› Unemployment rates
› Annual mean wages
› Occupations with the highest industry employment
› Weekly earnings by occupation and sex
› Average weekly hours
› Bachelor's, master's, and doctoral degrees
Introduction
Financial Numbers
Innovation & Research
Companies
Appendix
28 1: Average of non-seasonally adjusted monthly values, includes the total number of persons on establishment payrolls employed full- or part-time who received pay for any part of the pay period that includes the 12th day of a month; 2: Data is referring to NAICS 2012 classification; 3: Compound Annual Growth Rate; 4: Preliminary value for July Source: U.S. Bureau of Labor Statistics
NUMBER OF EMPLOYEES IN MACHINERY MANUFACTURING IS FALLING AGAIN SINCE 2015 Total number of employees1 over time2 in thousands
996
2009
1,029
2008
1,188
2007
1,187
2006
1,183 -0.9%3
20164
1,085
2015
1,122
2014
1,127
2013
1,105
2012
1,099
2011
1,056
2010
80.4% 80.2% 80.1% 80.0% 80.2% 80.5% 81.3% 81.1% 80.9% 80.1% 79.9%
19.6% 19.8% 19.9% 20.0% 19.8% 19.5% 18.7% 18.9% 19.1% 19.9% 20.1%
Gender split
Innovation & Research Employees & Salaries Companies Financial Numbers Introduction Appendix
29 1: Average of non-seasonally adjusted monthly values, includes the total number of persons on establishment payrolls employed full- or part-time who received pay for any part of the pay period that includes the 12th day of a month; 2: Data is referring to NAICS 2012 classification; 3: Quarrying, and Oil and Gas Extraction; 4: And Remediation Services; 5: And Enterprises; Source: U.S. Bureau of Labor Statistics
Share of employees1,2 by sector in 2015
WITH 8.7%, THE MANUFACTURING SECTOR HAS THE 5TH HIGHEST SHARE OF EMPLOYEES
Government 15.5%
Health Care & Social Assistance
13.1%
Retail Trade 11.0%
Manufacturing 8.7%
Administrative & Support & Waste
Management4
6.2%
Professional, Scientific, &
Technical Services 6.1%
Construction 4.5%
Wholesale Trade 4.1%
Transportation & Warehousing
3.4%
Educational Services, 2.4%
Mgmt of Companies5
1.6%
Arts, Enter-tain., & Rec.,
1.5%
Real Est. & Rental &
Leasing, 1.5%
Utilities, 0.4%
Mining3, 0.5%
Information 1.9%
Finance & Insurance
4.3%
Other Services
4.0%
Accomodation & Food Services
9.1%
Innovation & Research Employees & Salaries Companies Financial Numbers Introduction Appendix
30 1: Product of the total number of employees and the ratio of average weekly hours per employee for all employees to average weekly hours per employee on full-time schedules; 2: Monetary remuneration of employees; 3: Compound annual growth rate Source: Bureau of Economic Analysis
Full-time equivalent employees1 over time in thousands
Wage and salary accruals2 per full-time equivalent employee1 in US$
From 2008 to 2015, the number of full-time equivalent employees decreased by an annual average of 0.9%.
From 2008 to 2015, wage and salary accruals per full-time equivalent employee increased by an annual average of 2.4%.
SAME FULL-TIME EQUIVALENT HEADCOUNT BUT HIGHER SALARIES THAN THE YEAR BEFORE
976
2014
-0.9%3
2013
1,087
2012
1,082
2011
1,037
2010 2009
1,000
2008
1,168
2015
1,103 1,100
+2.4%3
2013
66,582
2012
66,494
2011
65,531
2010
62,655
2009
59,538
2008
59,050
69,829 69,005
2015 2014
Innovation & Research Employees & Salaries Companies Financial Numbers Introduction Appendix
31 1: Data is based on Census Industry classification (derived from NAICS 2007 classification); 2: Covers the civilian non-institutional population of those 16 years and older Source: U.S. Bureau of Labor Statistics
Unemployment rates over time1,2 by percentage
Development in the number of unemployed1,2 in thousands
Compared to the developments in the “Manufacturing” sector,
“Machinery Manufacturing” performed better with
unemployment decreasing by over 24%. Whereas the
“Manufacturing” sector as a whole experienced a decrease of
only 10%, totaling 677k unemployed persons in 2015.
UNEMPLOYMENT RATES IN THE INDUSTRY ARE BELOW THE MANUFACTURING SECTOR LEVELS
49
65
-24.6%
2015 2014
2013 2014 2015
Machinery Manufacturing (NAICS 333)
Total 5.0% 4.8% 3.7%
4.4% 4.7% 3.7%
7.0% 5.1% 3.9%
“Manufacturing” Sector Rates
Total 6.6% 4.9% 4.3%
6.3% 4.5% 4.0%
7.4% 5.8% 5.1%
Innovation & Research Employees & Salaries Companies Financial Numbers Introduction Appendix
677
754
-10.2%
2015 2014
Machinery Manufacturing (NAICS 333) Manufacturing Sector
32 1: Calculated by multiplying the hourly mean wage by 2,080 hours; covers all full-time and part-time wage and salary workers; 2: Data is referring to NAICS 2002 classification (2007), NAICS 2007 classification (2008 - 2011) and NAICS 2012 classification (2012 - 2015); 3: Data is referring to NAICS 2012 classification Source: U.S. Bureau of Labor Statistics
THE MEAN WAGE INCREASED BY MORE THAN ONE THOUSAND US$ IN 2015 Annual mean wage1 over time2 in thousand US$
2015
53.1
2014
51.8
2013
50.8
2012
50.0
2011
49.0
2010
47.7
2009
46.3
2008
45.0
2007
43.5
Top 3 subcategories3 in 2015 (Annual mean wage1 in thousand US$)
Flop 3 subcategories3 in 2015 (Annual mean wage1 in thousand US$)
Industrial Machinery Manufacturing 60.6
Commercial and Service Industry Machinery Manufacturing
57.6
Engine, Turbine, and Power Transmission Equipment Manufacturing
57.0
1
2
3
Ventilation, Heating, Air-Conditioning, and Commercial Refrigeration Equipment Manufacturing
45.7
Agriculture, Construction, and Mining Machinery Manufacturing
51.4
Other General Purpose Machinery Manufacturing
52.1
1
2
3
Innovation & Research Employees & Salaries Companies Financial Numbers Introduction Appendix
33 1: Data is referring to NAICS 2012 classification; covers all full-time and part-time wage and salary workers; 2: Except Technical and Scientific Products Source: U.S. Bureau of Labor Statistics
ASSEMBLERS, THE LARGEST WORKER GROUP IN THE INDUSTRY, EARN UNDER US$34K A YEAR
Difference to industry mean wage in 20151
Occupations with the highest industry employment in 20151 by percent of total industry employment
Annual mean wage in 20151
in thousand US$ in percentage
33.3
42.2
38.9
80.7
n.a.
40.9
69.1
42.0
135.7
80.7 Industrial Engineers 1.9%
General and Operations Managers 2.0%
Inspectors, Testers, Sorters, Samplers, and Weighers
2.3%
Sales Representatives, Wholesale and Manufacturing2 2.4%
Computer-Controlled Machine Tool Operators, Metal and Plastic
2.7%
First-Line Supervisors of Production and Operating Workers
3.2%
Mechanical Engineers 3.6%
Welders, Cutters, Solderers, and Brazers
5.5%
Machinists 7.1%
Team Assemblers 10.4%
156%
-21%
30%
-23%
52%
-27%
-20%
-37%
52%
Innovation & Research Employees & Salaries Companies Financial Numbers Introduction Appendix
n.a.
34 1: Of full-time wage and salary workers; 2: Ratio between wage of women and wage of men Source: U.S. Bureau of Labor Statistics
Weekly earnings1 by occupation and sex in 2015
GENDER PAY GAP IN ALL OCCUPATION GROUPS
Innovation & Research Employees & Salaries Companies Financial Numbers Introduction Appendix
Total
Gender difference2 -14.0%
US$1066
US$1020
US$583
US$875
US$844
US$710
US$623
US$924
US$917
-32.6% -30.9%
Sales representatives, wholesale and manufacturing
First-line supervisors of production and operating workers
Inspectors, testers, sorters, samplers,
and weighers
35 1: Data is referring to NAICS 2012 classification; 2: Preliminary value for July Source: U.S. Bureau of Labor Statistics
WORKING HOURS AVERAGE IN THE INDUSTRY IS HIGHER THAN IN MANUFACTURING SECTOR Average weekly hours of all payroll employees1
2009 2008 20162 2015 2014 2013 2012 2011 2010
40.7
40.8
39.8
40.5 40.2
34.5
41.3
40.5
41.6 41.3
40.8
39.0
34.3
41.0
34.1
41.0
41.5
33.8
40.8
40.9
34.5
40.8
39.3
34.5 34.4 34.3 34.4
Innovation & Research Employees & Salaries Companies Financial Numbers Introduction Appendix
In „Machinery Manufacturing“ the average weekly working time reaches 41.0 hours in 2015, which is more than the average weekly working hours in the overall „Manufacturing Sector“ with 40.8 hours. In addition to their normal weekly hours in 2015, the employees in the presented industry had average weekly overtime hours of 3 hours.
Total Private Industry
Manufacturing Sector
Machinery Manufacturing
Innovation & Research Employees & Salaries Companies Financial Numbers Introduction Appendix
36 1: Conferred by postsecondary institutions; 2: Data is referring to the 2012/2013 school year; 3: Data is referring to the 2013/2014 school year; 4: Includes Ph.D., Ed.D., and comparable degrees at the doctoral level. Includes most degrees formerly classified as first-professional, such as M.D., D.D.S., and law degrees Source: National Center for Education Statistics
Number of degrees in “Mechanical Engineering”1
Degrees in “Mechanical Engineering”1 in 20143 by sex
It should be noted that the degree holders in the above
mentioned field of study do not necessarily work in the industry.
In addition to the presented degrees, 31,768 associate degrees
in the field of study “Engineering Technologies and Engineering-
related Fields” were conferred in 20133.
OVER 30K DEGREES IN MECHANICAL ENGINEERING ENGINEERING AWARDED IN 2014
Total
Bachelors 24,301 87.5% 12.5%
Masters 6,182 84.9% 15.1%
Doctorates4 1,387 85.3% 14.7%
20143
6,182
1,387
24,301
21,989
20132
5,871
1,321
Doctorates4 Masters Bachelors
AGENDA
Innovation & research
› R&D intensity
› Funds spent for business R&D
› Number of patents
› Expenditures for ICT equipment and computer software
Introduction
Financial Numbers
Employees & Salaries
Companies
Appendix
38 1: Ratio between domestic R&D and domestic net sales; 2: Covers for-profit, non-farm companies that have 5 or more domestic employees, that are publicly or privately held, and that perform or fund R&D or engage in innovative activities in the U.S.; 3: Suppressed by source to avoid disclosure of confidential information; 4: Data date was 12 March; includes scientists and engineers and their managers, as well as technicians, technologists, and support staff; Source: National Science Foundation
Comparison of R&D intensity1 of selected sectors and industries2 in percentage
Spend for business R&D performed in the U.S. by funding source2 in million US$
MACHINERY MANUFACTURERS DECREASED R&D SPENDING SINCE 2013
2014
12,128
78
12,050
2013
12,650
128
12,522
2012
14,254
385
13,869
2011
14,709
522
14,187
For companies performing R&D in 2014, 8.34% of their domestic employment worked on R&D4. This is 0.7 percentage points less compared to the previous year.
Sector/Industry 2013 2014
All Industries 3.3% 3.5%
Manufacturing Industries 3.8% 4.1%
Chemicals 4.5% 4.9%
Machinery 3.4% n.a.3
Computer/Electronic Products 10.6% 10.6%
Electrical Equip., Appl., and Comp. 2.9% 2.8%
Transportation Equipment 4.1% 4.1%
Information 5.5% 5.8%
Software Publishers 9.0% n.a.3
Finance/Insurance 0.7% 0.7%
Professional/Scientific/Tech. Services 8.4% 7.1%
Scientific R&D Services 20.1% 22.7%
Federal Companies and other
Innovation & Research Employees & Salaries Companies Financial Numbers Introduction Appendix
39 1: Covers only utility patents granted by the U.S. Patent and Trademark Office; 2: Determined by the residence of the first-named inventor; 3: Ownership at the time of patent grant Source: U.S. Patent and Trademark Office, National Science Foundation; National Science Foundation
Total number of patents1 granted by origin2 over time
Domestic R&D employment over time in thousands
36.1% of the patents granted in 2012 are owned3 by U.S. corporations, 0.2% by the U.S. government and 6.4% by U.S. individuals. The remaining 57.2% are owned by foreign corporations, governments or individuals.
NUMBER OF PATENTS GRANTED IS INCREASING IN SPITE OF R&D EMPLOYMENT DECREASE
2012
34,857
14,914
19,943
2011
31,369
13,617
17,752
2010
30,327
13,221
17,106
2009
23,793
10,257
13,536
2008
24,062
10,238
13,824
U.S. origin
Foreign origin
Innovation & Research Employees & Salaries Companies Financial Numbers Introduction Appendix
838988
-2.9%
2013 2012 2011
88.6% 87.6% 88.1%
11.4% 12.4% 11.9%
Gender split
40 1: Includes all expenditures during the year for ICT equipment, including computer software chargeable to asset accounts for which depreciation or amortization accounts are ordinarily maintained; 2: No update for year 2012 data available; 3: Sum of the data of NAICS Codes 3331, 3332, 3335, 3333, 3334, 3336, 3339 Source: U.S. Census Bureau
Capitalized expenditures1,2,3 in million US$ Capitalized equipment expenditures3 in 2013 in million US$
With 80.2%, “Computer and Peripheral Equipment” made up the
largest share of equipment expenditures. US$438 million was
spent on this type of equipment in 2013.
Normally, the value for ‘Electro-medical and Electro-Therapeutic
Apparatus’ is included in equipment expenditures. In this case, it
is less than $500,000 and therefore not displayed.
ICT EXPENDITURES INCREASED SIGNIFICANTLY SINCE 2010
667
963
384
484546
+9.5%
2013
1,584
1,038
2011
1,447
2010
1,051
Capitalized Computer Software Expenditures
Capitalized Equipment Expenditures
Innovation & Research Employees & Salaries Companies Financial Numbers Introduction Appendix
546
Total Information & Communication
Technology Equip.
108 (19.8%)
Computer & Peripheral
Equipment
438 (80.2%)
AGENDA
Appendix
› Detailed definition and description of the industry according to the NAICS
› Classification and data used in this report
› An annotation of the forecast methods
› Index of figures
› Overview on U.S. industry reports
› Introduction to “Digital Market Outlook” and “Consumer Market Outlook”
› Statista Service “Research & Analysis“
› Authors, imprint, sources and disclaimer
Introduction
Financial Numbers
Employees & Salaries
Companies
Innovation & research
42 1: North American Industry Classification System
DETAILED DESCRIPTION OF NAICS1 CODE 333 – SUB-SUBCATEGORY LISTING
NAICS Subcategory & sub-subcategory
3331 Agriculture, Construction, and Mining Machinery Manufacturing
33311 33312 33313
Agricultural Implement Manufacturing Construction Machinery Manufacturing Mining and Oil and Gas Field Machinery Manufacturing
3332 Industrial Machinery Manufacturing
33321 33322 33329
Sawmill and Woodworking Machinery Manufacturing Plastics and Rubber Industry Machinery Manufacturing Other Industrial Machinery Manufacturing
3333 Commercial and Service Industry Machinery Manufacturing
3334 Ventilation, Heating, Air-Conditioning, and Commercial Refrigeration Equipment Manufacturing
3335 Metalworking Machinery Manufacturing
3336 Engine, Turbine, and Power Transmission Equipment Manufacturing
3339 Other General Purpose Machinery Manufacturing
33391 33392 33399
Pump and Compressor Manufacturing Material Handling Equipment Manufacturing All Other General Purpose Machinery Manufacturing
Innovation & Research Employees & Salaries Companies Financial Numbers Introduction Appendix
43
Data Sources The Statista industry reports package and present quantitative data from many private and public sources of information. These sources include the U.S. Census Bureau, U.S. Bureau of Economic Analysis, U.S. Bureau of Labor Statistics, National Center for Education Statistics, National Science Foundation, and U.S. Patent and Trademark Office. The data sources are indicated in footnotes throughout the report. NAICS-Classification The North American Industry Classification System (NAICS) was introduced by the statistical bureaus of Mexico, Canada, and the United States in 1997 to replace the Standard Industrial Classification (SIC) system. It is designed to align with the United Nations Statistical Office's International Standard Industrial Classification (ISIC) system. The initial two digits indicate the largest sector. The third digit indicates the subsector, while the fourth digit indicates the industry group. The classification system is modified every five years with the last three changes occurring in the years 2002, 2007, and 2012. Unless otherwise noted, the majority of the data in the Statista industry reports is based on the NAICS 2007 classification. Detailed information about the different classifications can be found on the homepage of the U.S. Census Bureau: http://www.census.gov/cgi-bin/sssd/naics/naicsrch?chart=2007. Forecasts and estimates Certain diagrams within this industry report include estimates or forecasted values for the years of 2016 to 2020. These estimated values and projections are indicated. Data Indicator
CLASSIFICATION AND DATA USED IN THIS REPORT
Innovation & Research Employees & Salaries Companies Financial Numbers Introduction Appendix
NAICS Code XXX Data
This box in the top right corner indicates that the slide data is either aggregated or from the sector that the report industry is included within.
44
AN ANNOTATION OF THE FORECAST METHODS Depending upon the availability of data and the quality of the data’s time range, the following methods were used to prepare forecasts: Trend Analysis (moving average analysis, second-order statistical smoothing and multiplier analysis), linear regressions, as well as subjective estimates. These estimates reflect years of industry expertise and vast knowledge. Industry specific sales, revenue, and shipment calculations were made according to the relevant economic and business indicators, such as: › The general macro-economic developments within the U.S.
economy (Gross Domestic Product)
› U.S. foreign trade developments (import and export numbers)
› The development of U.S. household disposable income numbers
› The development of U.S. domestic household consumption differentiated according to expenditures (such as, expenses related to foods, drinks, and transportation, as well as accommodation and restaurant expenses)
Forecasting
Methods
Quantitative Time-Series
Analysis
Qualitative Time-Series
Analysis
Press Reports, Industry Expertise,
Expert Assessments etc.
Causal Processes
Regression Analysis
Trend Projections
Second-Order Statistical
Smoothing
Moving Average Analysis
Multiplier Analysis
Innovation & Research Employees & Salaries Companies Financial Numbers Introduction Appendix
45
Introduction Key figures at a glance SWOT analysis Chief executive quotes on the latest industry development Change in the total value of new orders for the U.S. machinery industry in 2015 Financial Numbers Total value of shipments over time Total value of shipments in 2015 of selected industries Total value of shipments by subcategory Most over- and under-performing subcategories Development of imports, exports and trade balance over time Imports and exports by region in 2015 Development of GDP and contribution by sector Share of GDP by sector in 2015 Growth rate of GDP and growth rate of value added by sector over time States experiencing the industry‘s highest value added numbers in 2014 Companies Selected key players in the industry Total number of firms and establishments with paid employees over time Total number of firms and establishments with paid employees by subcategory in 2014 Number of establishments with paid employees per state in 2014 Number of establishment births over time Share of establishment births by enterprise size in 2012/2013 Number of establishment deaths over time Change in Employment due to establishment deaths
INDEX OF FIGURES (1/2)
Innovation & Research Employees & Salaries Companies Financial Numbers Introduction Appendix
46
Employees & Salaries Number of all employees over time Share of employees by gender Share of employees by sector in 2015 Full-time equivalent employees over time Wage and salary accruals per full-time equivalent employee over time Unemployment rates over time Development in the number of unemployed Annual mean wage over time Annual mean wage by subcategory Occupations with the highest industry employment in 2015 Annual mean wage by occupation in 2015 Difference to industry mean wage in 2015 Weekly earnings by occupation and sex in 2015 Average weekly hours of all payroll employees over time Number of bachelor's, master's, and doctoral degrees over time Bachelor's, master's, and doctoral degrees in 2014 by sex Innovation & Research Comparison of R&D intensity of selected sectors and industries in 2013 and 2014 Spend for business R&D performed in the U.S. by funding source Total number of patents granted by origin over time Domestic R&D employment over time Capitalized expenditures for information and communication technology equipment and computer software over time Capitalized expenditures by type of equipment in 2013
INDEX OF FIGURES (2/2)
Innovation & Research Employees & Salaries Companies Financial Numbers Introduction Appendix
47
OVERVIEW OF ALL 41 U.S. INDUSTRY REPORTS ON STATISTA.COM (1/3)
Manufacturing: Automotive Industry (NAICS 3361-3363)
Retail: Car Dealers (NAICS 441)
Manufacturing: Computers & Electronics (NAICS 334)
Wholesale Trade (NAICS 42)
Manufacturing: Electrical Equipment & Supplies (NAICS 335)
Manufacturing: Fashion & Textiles (NAICS 313-316)
Manufacturing: Machinery (NAICS 333)
Manufacturing: Chemicals (NAICS 325)
Manufacturing: Printing (NAICS 323)
Manufacturing: Plastics & Rubber (NAICS 326)
Agriculture, Forestry, Fishing & Hunting (NAICS 11)
Construction (NAICS 23)
Manufacturing: Food (NAICS 311)
Utilities (NAICS 22)
Manufacturing: Beverages (NAICS 3121)
€ $
Innovation & Research Employees & Salaries Companies Financial Numbers Introduction Appendix
48 1: Except Internet
OVERVIEW OF ALL 41 U.S. INDUSTRY REPORTS ON STATISTA.COM (2/3)
Publishing1
(NAICS 511)
Telecommunications (NAICS 517)
Transportation: Trucks (NAICS 484)
Motion Pictures, Music & Television (NAICS 512, 515)
Warehousing & Storage (NAICS 493)
Retail: Gasoline Stations (NAICS 447)
Transportation: Water (NAICS 483)
Retail: Sports, Hobbies, Books & Music (NAICS 451)
Retail: Fashion (NAICS 448)
Transportation: Air (NAICS 481)
Retail: Furniture (NAICS 442)
Retail: Building, Home & Garden (NAICS 444)
Retail: Food & Beverages (NAICS 445)
Retail: Consumer Electronics (NAICS 443)
Retail: Drugstores (NAICS 446)
Innovation & Research Employees & Salaries Companies Financial Numbers Introduction Appendix
49
OVERVIEW OF ALL 41 U.S. INDUSTRY REPORTS ON STATISTA.COM (3/3)
Restaurants & Nightlife (NAICS 722)
Waste Management & Recycling (NAICS 61)
Accommodation (NAICS 721)
Health Care (NAICS 621-623)
Education (NAICS 61)
Amusement, Gambling & Leisure (NAICS 713)
Data Hosting & Computing (NAICS 518)
Insurance (NAICS 524)
Real Estate (NAICS 531)
Banking & Finance (NAICS 521-523, 525)
Rental & Leasing (NAICS 61)
Innovation & Research Employees & Salaries Companies Financial Numbers Introduction Appendix
50
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AUTHORS, IMPRINT, SOURCES AND DISCLAIMER
E-Mail E-Mail
November 2016
Mr. Volker Staffa studied Business with focus on Logistics and Supply Chain Management in Hamburg and Rhode Island. Before working as an Analyst at Statista he gathered experience in the aviation industry, working for the German Air Traffic Control and Lufthansa Technik.
Volker Staffa
Analyst
Ms. Ksenia Striapunina studied Business with focus on Finance in Hamburg and Engineering Management in Perm. Before working as an Analyst at Statista she gathered experience in telecommunications, working for ER-Telecom and T-Systems Multimedia Solutions and in financial markets, working as a consultant.
Ksenia Striapunina
Analyst
U.S. Census Bureau, U.S. Bureau of Economic Analysis, U.S. Bureau of Labor Statistics, National Center for Education Statistics, National Science Foundation, U.S. Patent and Trademark Office, International Monetary Fund, Directorate General for Economic and Financial Affairs
