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 Concentration and Competitive Landscape

Data Integration Market Concentration By Players

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Rise of big data, real-time analytics and advances in technologies

Over the past decade, there has been an explosion in the volumes of data being generated across industries through various digital channels and modern technologies like IoT, sensors, cloud computing and others.

However, for analytics to function effectively on such massive volumes, data first needs to be brought together from diverse internal and external sources, cleaned and organized into a cohesive format. Traditional data integration approaches are unable to handle this scale of complexity required for modern big data and real-time analytics projects. New age solutions powered by technologies like distributed computing, cloud, APIs, and microservices have emerged that can integrate petabytes worth of structured, semi-structure

For instance, in May 2022, Striim, a provider of real-time data integration and streaming solutions, announced the availability of its Striim Cloud platform on Google Cloud. This fully managed, software-as-a-service (SaaS) offering enables Google Cloud customers to easily build and deploy real-time data pipelines to power business intelligence and decision-making in the digital economy.

Key Players Insights