Latest news: Injection Molding Machine Market by Product Type (Plastic, Rubber, Metal), Machine Type (Hydraulic, All-Electric, Hybrid)

The Injection Molding Machine Market is estimated to be USD 17.08 Billion in 2018 and is projected to reach USD 19.68 Billion by 2023, at a CAGR of 2.9% between 2018 and 2023.

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Top Companies Profiled in the Injection Molding Machine Market:

  • Haitian International (China)
  • Chen Hsong (China)
  • Milacron (US)
  • The Japan Steel Works (Japan)
  • Sumitomo Heavy Industries (Japan)
  • Arburg (Germany)
  • Nessei Plastic (Japan)
  • Husky (Canada)
  • Engel (Austria)

 

The all-electric machine type segment is expected to witness the highest growth, in terms of value, from 2018 to 2023.All-electric machines are quieter, faster, and more accurate as compared to other types of injection molding machines, and can save up to 50%-70% energy as compared to hydraulic injection molding machines. All-electric injection molding machines are the most preferred type of injection molding machines owing to their lower use of chilled water, decreased housekeeping and preventive maintenance, lower energy and oil consumption, and lower repair rate.

 

The Asia Pacific injection molding machine market is estimated to witness the highest growth due to the rapidly growing automotive, packaging, consumer goods, healthcare, and electrical & electronics end-use industries in the region. Asia Pacific is also home to key players in the injection molding machine market such as Haitian International (China) and ChenHsong(China).

 

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Table of Contents:

1 Introduction

1.1 Objectives of the Study

1.2 Market Definition

1.3 Market Scope

1.3.1 Years Considered for the Study

1.4 Currency

1.5 Unit Considered

1.6 Limitations

1.7 Stakeholders

 

2 Research Methodology

2.1 Research Data

2.1.1 Secondary Data

2.1.1.1 Key Data From Secondary Sources

2.1.2 Primary Data

2.1.2.1 Key Data From Primary Sources

2.1.2.2 Breakdown of Primary Interviews

2.2 Market Size Estimation

2.2.1 Bottom-Up Approach

2.2.2 Top-Down Approach

2.3 Data Triangulation

2.4 Assumptions

 

3 Executive Summary

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