Page Length: | 10-12 | |
Last Quarterly Update: | 11/25/2024 | |
SIC Codes: | 351 , 352 , 353 , 354 , 355 , 356 , 358 , 359 | |
NAICS Codes: | 333 |
Chapters Include: | ||
Industry Overview | Trends & Challenges | Industry Forecast |
Quarterly Industry Update | Call Prep Questions | Website & Media Links |
Business Challenges | Financial Information | Glossary & Acronyms |
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, ...
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