The US agile transformation market has been estimated to reach $18.19 billion (£15 billion) by 2026 according to one report.
Taken out by Allied Market Research, the study also predicts that the sector will have a Compound Annual Growth Rate (CAGR) of 17.9% in the next 7 years.
The report defines agile as being “divided into scrum, scrumXP, scrumban, kanban, custom hybrid, and others.”
Last year, scrum led the agile marketplace, the research found, and it’s expected that this dominance will continue. Allied Market Research also thinks that the custom hybrid segment will grow at a rapid rate during this time too.
Reasons for the report
Analysis of growth, trends, and restraints were all key reasons as to why the report was carried out.
It was noted in the investigation that: “Increase in inclination toward digital transformation among conventional organizations is one of the major factors driving the adoption of agile services across the U.S. Moreover, rise in awareness about agile transformation services and surge in need to reallocate resources skillfully & rapidly are the major factors anticipated to drive the U.S. enterprise agile transformation services market growth in this region.”
The pros of agile
As well as talking about higher levels of flexibility and reduced cost, the report also discusses other benefits of agile. It says: “Top impacting factors highlight the opportunities during the forecast period. Factors such as upsurge in need for faster time-to-market in product development, continuous changes in business needs, and increase in need for better communication & collaboration among businesses, along with the rise in shift from traditional transformation toward agile transformation are the key factors that drive the growth of the U.S. enterprise agile transformation services market.”
It’s thought that the majority of the agile market in the US in 2018 came from the west, with small companies fuelling the bulk of growth. Whilst the South West of the country is expected to have the highest CAGR in the forecast period.
