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South Korea Autos Report Q2 2016

South Korea Autos Report Q2 2016

BMI View: Headwinds, in both the domestic and global economy, will continue to drag on total vehiclesales in 2016 with passenger vehicles and commercial vehicles forecast to grow 1.5% and 2.4%respectively. This in turn will constrain total vehicle sales which will grow 1.6% in 2016 and at an annualaverage of 2.5% to 2020.

Key Views

Low interest rates will make access to vehicle finance cheaper and will support total vehicle sales.

Imported foreign vehicles will remain cheap due to the strength of the South Korean won.

The won relative to the Japanese yen will increase the price of South Korean vehicles in its exportmarkets.

Slowdown in China will drag on exports and total vehicle sales.


BMI Industry View
SWOT
Industry Forecast
Table: Autos Total Market - Historical Data And Forecasts (South Korea 2014-2020)
Structural Trends
Production
New Energy Vehicles
Passenger Vehicles
Table: Passenger Car Market - Historical Data And Forecasts - (South Korea 2014-2020)
Key Players
Table: Top 10 Passenger Vehicle Sales By Brand, 2015
Commercial Vehicles
Table: Commercial Vehicle Market - Historical Data And Forecasts (South Korea 2014-2020)
Industry Risk/Reward Index
South East Asia Shines
'Make In India' Supports Ranking
Vietnam Still Most Likely Frontier Mover
Company Profile
Hyundai Motor
Kia Motors
Renault Samsung Motors
Ssangyong Motor
Regional Overview
Table: Asia Autos Production Investment
Incentives Powering Chinese Investment
Making In India Is Increasing Localised
Demographic Forecast
Demographic Outlook
Table: Population Headline Indicators (South Korea 1990-2025)
Table: Key Population Ratios (South Korea 1990-2025)
Table: Urban/Rural Population & Life Expectancy (South Korea 1990-2025)
Table: Population By Age Group (South Korea 1990-2025)
Table: Population By Age Group % (South Korea 1990-2025)
Methodology
Industry Forecasts
Sector-Specific Methodology
Sources
Risk/Reward Index Methodology
Table: Automotive Risk/Reward Index Indicators And Weighting Of Indicators

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