Data Integration Market, By Component (Tools and Services), By Deployment (Cloud-based and On-premise), By End-use Industry (IT & Telecom, BFSI, Healthcare, Manufacturing, Retail & E-commerce, Government & Defense, and Others), By Geography (North America, Latin America, Asia Pacific, Europe, Middle East, and Africa)

Published In : Jul 2024

Code : CMI7159

Pages :168

Formats :

Excel and PDF

Industry : Information and Communication Technology

Market Challenges: Lack of skilled workforce for managing data integration tools

As organizations across industries increasingly recognize the importance and business value of integrated data in decision making and deriving valuable insights, the demand for sophisticated data integration solutions is rising exponentially. However, the shortage of technical experts who can effectively leverage these modern tools to design, implement and maintain robust integration architecture is creating a roadblock.

Most organizations struggle to find and retain skilled professionals with qualifications and expertise in advanced data integration technologies. Traditional ETL (Extract, Transform, Load) and custom code methods require developers with strong programming skills which are scarce globally. Moreover, constantly upgrading to new features and techniques introduced by vendors requires continuous learning and training commitments which organizations find difficult to make. This talent crunch leaves many enterprises unable to take full advantage of their data integration investments and derive optimized outcomes. The complexity of modern integration platforms also means that simple errors or issues can spiral out of control without experienced oversight.

Market Opportunities: Growing adoption of BI and analytics solutions

The growing adoption of business intelligence (BI) and analytics solutions is one of the great opportunities in the global data integration market. As organizations across industries recognize the importance and business value of data-driven decision making, there is immense focus on bringing various data sources together for a unified analytics view. This is propelling the need for robust data integration platforms that can collect, cleanse, transform and deliver trusted data to various analytics and business applications seamlessly.

BI and analytics have moved from being nice-to-have initiatives to critical priorities, and businesses want to leverage every data point available internally as well as externally to gain valuable insights.