Rise in need for accelerated product development, surge in need to improve teamwork and communication in enterprises, and growth of the IoT sector have boosted the growth of the global Enterprise Agile Transformation Services Market. Moreover, shift in business needs supplemented the market growth.
However, the frequent failure rates hamper the market growth. On the contrary, increase in adoption of agile services among non-IT industries and emerging applications of agile in growing big data complex landscape are expected to create lucrative opportunities in the near future.
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The scrum segment held the largest share in 2018, contributing to more than half of the global enterprise agile transformation services market, owing to rise in adoption of scrum by various software development companies to increase coordination between teams and improve performance.
However, the Kanban segment is expected to register the fastest CAGR of 22.7% during the forecast period, owing to surge in adoption of Kanban for managing manufacturing of products that focus on rapid delivery along with reducing the burden on the development team.
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The global enterprise agile transformation services market across North America held the lion’s share in 2018, contributing around two-fifths of the market, owing to adopt agile transformation services at a high rate to bring improvements in operational efficiency in IT infrastructure.
However, the market across the Asia-Pacific region is anticipated to manifest the fastest CAGR of 22.1% through 2026, owing to a surge in digitalization in emerging economies such as India and China.
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Key Findings of the Market :
- By methodology, the scrum segment led the enterprise agile transformation services market size in terms of revenue in 2018.
- By organization size, the large enterprises accounted for the highest market share in 2018.
- By region, North America generated the highest revenue in 2018.
- Depending on industry vertical, the IT & telecom segment is anticipated to exhibit substantial growth during the forecast period.
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