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Global Industrial Outlook 2018 2018 Global Industrial Outlook
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Coverage: North America & International
Accessibility: Instant Online Access
Update Frequencies: Quarterly
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Our All New & Completely Redesigned 2018 Global Industrial Outlook is now available!

Top Line Market Project Spending Forecast

IIR's redesigned outlook provides easily navigated spending projections for 12 industrial market sectors:
  • Electric Power
Industrial Infrastructure
  • Chemical Processing
  • Metals & Minerals
  • Pulp, Paper & Wood
  • Food & Beverage
  • Industrial Manufacturing
  • Pharmaceutical & Biotech
  • Bulk Liquids Storage Terminals
  • Oil & Gas Transmission
  • Oil & Gas Production
  • Alternative Fuels
  • Petroleum Refining
Both North American and International industrial sectors are included in the Outlook, with special breakouts for the BRIC, MENA, Middle East and Asia-Pacific regions.

Quarterly updated project spending statistics are broken down by industry, market region and budget type (capital or maintenance). Detailed assessments from Industrial Info's industry experts help explain how the data and information reflect broader industrial trends.

Plant Trends & Demographics
A separate section for plants shows operational plants by industry, as well as plant startups and closures over the past 5 years.

Online Features and Accessibility
The Industrial Outlook is an online product, which gives you dynamic features not available in printed materials, including access from any internet location and quarterly updates. In addition, project spending statistics are now available as easily downloaded graphs and CSVs, which allow the data to be used to best serve your specific needs.

How do we provide a well-qualified forecast?
Our forecast model uses plant-level detail captured in our Global Market Intelligence (IIRGMI) Database which includes over 140,000 future spending events and summarizes it up to the 30,000-foot view. Our modeling captures total spending for the market, using historical and future projects intelligence, including statistical modeling of leading economic indicators.