First Research US Industry Profile

Already a subscriber?  Login >>

View Sample
Machinery Manufacturing
SIC Codes: 351 , 352 , 353 , 354 , 355 , 356 , 358 , 359
NAICS Codes: 333
Last Quarterly Update: 5/16/2022
Companies in this industry manufacture various kinds of machinery used in agriculture, mining, construction, or manufacturing. Major companies include Applied Materials, Caterpillar, divisions of General Electric, Halliburton, John Deere, and Kennametal (all based in the US), along with Canon and Mitsubishi Heavy Industries (Japan), CNH Industrial (UK), Sandvik (Sweden), SANY (China), and Tetra Laval (Switzerland).
Top countries for machinery manufacturing include China, Germany, Japan, Italy, and the US, according to Statista. Machinery demand closely follows growth in GDP, and emerging markets are expected to post the most robust growth in the coming years. A strengthening global economy and improving prices for many commodities may help drive demand for several categories of machinery.
The US machinery manufacturing industry includes more than 23,000 companies with combined annual revenue of about $360 billion. Key components of the industry are covered in profiles for Agricultural Machinery Manufacturing, Construction Machinery Manufacturing, Food Product Machinery Manufacturing, HVAC Equipment Manufacturing, Metalworking Machinery Manufacturing, Oil & Gas Field Equipment Manufacturing, Printing Machinery & Equipment Manufacturing, and Semiconductor Equipment Manufacturing.
Competitive Landscape
While the global economy has improved and prices for many commodities have risen, mounting trade tensions and geopolitical uncertainty are prompting machinery manufacturers and their customers to focus on increasing productivity. Machinery manufacturers can improve competitiveness by investing in products and services that leverage connectivity and data to forge more collaborative and lucrative relationships with customers. To that end, many machinery manufacturers are developing connected products that collect and analyze operational data which helps customers cut operating costs, predict machinery maintenance requirements, and increase efficiency.
Competitive Advantages:
Global Strategy -- Emerging markets will drive a significant share of future machinery demand, and domestic players in developing countries are increasingly focused on expansion into new markets, intensifying global competition. To remain competitive, companies must pursue a strategy that wrings costs out of global supply chains while developing products targeted to specific regional markets.
Leveraging Data Analytics -- Through onboard digital sensors and connectivity, machinery can gather and share massive amounts of operational data, which can be used to increase customer productivity and efficiency. This progression toward the internet of things (IoT) also creates opportunities for machinery companies to offer new support services that generate more revenue than traditional maintenance and repair agreements.
Strategic Technology Partnerships -- As technology becomes more ingrained in machinery products, manufacturers are increasingly partnering with technology companies to develop equipment connectivity, data analytics, and software. However, partnership contracts must remain flexible so they can be adapted as business needs evolve.
Products, Operations & Technology
Major products are engines (diesel, semidiesel, and dual fuel) accounting for about 20% of the industry revenue and power cranes, draglines, shovels, and ... plus:
Sales & Marketing
,
Finance & Regulation
,
Regional & International Issues
,
Human Resources
Also includes the following chapters:
Quarterly Industry Update
,
Industry Indicators
,
Business Challenges
,
Trends and Opportunities
,
Call Preparation Questions
,
Financial Information
,
Industry Forecast
,
Industry Websites
,
Glossary of Acronyms

Historical Profiles (PDF format)

03/07/2022
12/13/2021
09/13/2021
06/14/2021
04/05/2021
01/11/2021
11/30/2020
10/26/2020
06/29/2020
09/23/2019
05/27/2019
02/25/2019
11/19/2018
08/20/2018
05/21/2018
02/19/2018
11/13/2017
08/14/2017
05/15/2017
02/13/2017
11/07/2016
08/08/2016
05/02/2016
02/01/2016
10/26/2015
08/03/2015
05/11/2015
02/16/2015
11/17/2014
08/25/2014
06/02/2014
03/10/2014
12/02/2013
09/09/2013
06/17/2013
03/25/2013
12/17/2012
09/24/2012
07/09/2012
04/16/2012
01/09/2012
10/03/2011
06/20/2011
03/14/2011
12/06/2010
09/13/2010
06/07/2010
03/01/2010