The move towards container leasing and away from carrier ownership continues unabated and the leased fleet now has a clear majority over that owned by transport operators, according to the latest edition of the Container Census & Leasing and Equipment Insight published by global shipping consultancy Drewry.
Leasing companies accounted for 55% of container purchases in 2017, which continues the trend seen for most of this decade.
With the fleet of containers owned by transport operators growing by a mere 2.4%, the leased fleet added 6.7% and the share owned by lessors is now nearing 52%.
Martin Dixon, Drewry’s Director of Research Products, said: “Drewry expects this trend to continue over the next few years.
“We estimate that the leased share of the fleet will reach 54% by 2020.”
Container manufacturing staged a 55% rebound in 2017, with dry van building more than recovering from the 2016 slump as buyers responded to the rebound in the liner industry.
CIMC consolidated its position by building 88% more boxes last year, while smaller builders such as Dong Fang (143%) and Maersk Container (118%) made even bigger inroads.
And yet, despite the influx of new boxes, the average age of the fleet remained above 6.5 years for the second year running.
Read about how ports and terminals are facing unprecedented challenges in 'Mega-Alliance Impact', a technical paper by global shipping analyst Neil Davidson from Drewry
Drewry: Newbuild prices have been relatively stable
Drewry has reported that newbuild prices recovered quickly as demand returned last year and have been largely stable ever since.
Some of the price increase was attributable to rising steel prices.
Steel has been at the heart of the trade dispute between the US and China, so any escalation could push prices higher.
Dixon added: “Geopolitical issues notwithstanding, we do not expect any significant change in newbuild prices over the next couple of years.
“However, prices of used containers have been rising steadily, although their future trajectory is harder to predict.”
