NEW YORK, Nov. 3, 2016 /PRNewswire/ -- The report on the iPaaS market provides an in-depth analysis of the market size, forecasts and opportunities of iPaaS that cater to the SMB and enterprise markets. The report provides the market size and forecasts of iPaaS segmented by Platforms and Services. The report provides the market data for these segments across industry verticals - Aerospace and Defense, Automotive and Transportation, Banking and Finance, Healthcare and Life Sciences, Retail and Consumer, Public Sector and Government, Technology and Media, and Others. Further to this, the report also provides the market data for these segments by industries across five regions - North America, Europe, Asia-Pacific, Central America and Latin America (CALA), and Middle-East and Africa (MEA). Arcluster's iPaaS market report also includes insights into key market requirements gathered from architects, data engineers, IT managers, application owners, CTOs, CIOs, and enterprise IT decision makers. The study also covers their preferences, priorities and perception of the applications and adoption of iPaaS platforms and services. The report also includes key demand side user ratings such as ratings across regions for iPaaS projects, services, vertical adoption, and deployment timeframes. The analysis in this report will help market participants, vendors, enterprises, independent software vendors, SaaS providers, systems integrators, value added resellers, and digital marketing agencies to develop strategies, marketing goals and business decisions based on the actionable market intelligence from this report. This iPaaS market report has been built on a rigorous period of information gathering from both secondary and primary sources through several interviews with industry participants, vendors, enterprises, consultants, organizations, and regulators. Data gathered from these interviews and surveys was curated, analyzed, and engineered to understand buying, spending, demand and supply patterns and to estimate market sizes and forecasts. The resultant data was checked for applicability across value chains through market-data associations and then further validated through multiple check points to check consistencies, error samples, variances.