Cloud services platforms AWS (Amazon Web Services), Oracle, and Google are identified (in alphabetical order) as “Leaders” of the cloud data analytics platform providers in the Asia Pacific (APAC) region, according to the IDC MarketScape: APEJ Cloud Data Analytics Platform 2020 Vendor Assessment – Gen D Tribes Gather to Build the Intelligent Enterprise.
These platform as a service (PaaS) providers demonstrated leadership in answering to Generation Data’s (Gen D) requirements for trusted, integrated, operationalized, accelerated, and simplified data management. They provided not only the technology, but also service delivery capabilities, partner networks, and strategies for the pertinent product portfolio and innovation to continuously grow, address the increasing demand for data pipelines in a hybrid cloud system landscape, and keep various tribes of Gen D workers to work effectively together toward the Intelligent Enterprise.
This study leverages the IDC MarketScape framework to evaluate the major data analytics platform providers that offer services over the public cloud, operate in multiple locations of APAC and hold the leading market shares in this region in the past two years. In this study, IDC identified three such platform providers as “Leaders” based on the IDC MarketScape vendor analysis model. They are closely followed by “Major Players” in the market namely (in alphabetical order) Alibaba, IBM, Microsoft, and Teradata.
“Data Strategy is no longer reared by technology alone. Cloud Data platforms need to acknowledge the competing expectations of the business as well as the skills and attitudes of enterprise data workers who make it happen,” said Dr. Christopher Lee Marshall, associate vice president for Analytics, Big Data and AI at IDC Asia Pacific. “Technology convergence and Open Source has increasingly leveled the playing field, but attitudes and skills remain slow to adapt to the new technical reality.”
“Different Gen-D tribes exist in organizations, whether executives are aware of it or not. It is important to explicitly identify these tribes in your organization; understand and acknowledge their beliefs and expectation when evaluating different platforms; and make sure different tribes work cohesively. If this is not done, decisions viewed as purely strategic will soon come undone when they are implemented organizationally,” said Jessie Cai Danqing, senior research manager for Analytics, Big Data and AI at IDC APAC.
This IDC study summarized the recent rapid innovations in the world of data management as providers made it increasingly convenient and affordable for businesses to manage all types of data (in motion and at rest) from incoming pipelines to outgoing products. Practical recommendations are also provided to harness the changes and new options which makes solution selection and data strategy creation increasingly difficult. Moreover, this document is the first assessment of cloud data analytics platforms in Asia/Pacific.
The evaluation framework consists of 17 scoring elements to cover functionality offerings, service delivery, range of service, customer satisfaction, growth strategy, product strategy, go-to-market strategy, and innovation strategy.
IDC has been tracking the development of leading regional and global cloud data and analytic platform service providers in the market through its core research on software, big data and analytics market forecasts, IT Spending, as well as business surveys on the maturity and sentiment of data management technology adoption.