IDC Asia/Pacific presents 2016 big data and analytics predictions for the region

IDC Asia/Pacific expects Asia Pacific organisations which are able to analyse all relevant data and deliver actionable information to achieve an extra US$65 billion in productivity benefits over their less analytically-oriented peers by 2020.

"The majority of Asia Pacific organisations consider data as a strategic asset, but the ability to deliver actionable insights to decision makers quickly will differentiate the data-driven leaders in digital transformation (DX)", says Qiao Li, Senior Market Analyst, Big Data and Analytics, IDC Asia/Pacific.

The adoption of big data and analytics (BDA) will be accelerated by business disruption from DX in Asia Pacific. With the digitalisation of everything, the ability to make smarter, quicker, and more automated decisions and actions will increasingly become a competitive necessity. At the same time, barriers to entry will be lower as technology options are increasingly abundant with purpose-built tools that are designed for specific workload or use case, flexible pricing and deployment.

"While managing on- and off-premises data can pose new challenges, data gravity* will drive adoption of cloud-based BDA solutions as organizations adopt more adjacent solutions (e.g. SaaS-based CRM, ERP) over time,” says Chris Zhang, Senior Market Analyst, Software, IDC Asia/Pacific.

“Spending on cloud-based BDA technology will grow 3x faster than spending for on-premises solutions in Asia Pacific (excluding Japan) by 2020," said Zhang.

IDC reports that the rest of the top 10 predictions for the BDA market for the next three to five years include the following:

#2: Cognitive computing. By 2020, 40% of all business analytics software will incorporate prescriptive analytics built on cognitive computing functionality.

#3: Labour shortage. Shortage of skilled staff will persist and extend from data scientists to architects and experts in data management; big data–related professional services will have a 29% CAGR in Asia Pacific by 2020.

#4: In-memory computing. By 2020, 75% of databases (relational and non-relational) will be based on memory-optimised technology.

#5: By 2020, distributed micro analytics and data manipulation will be part of 80% of BDA deployments.

#6: Through 2020, spending on self-service visual discovery and data preparation market will grow 2.5x faster than traditional IT-controlled tools for similar functionality.

#7: Data monetisation. By 2020, data monetisation efforts will result in enterprises pursuing digital transformation initiatives, increasing the marketplace's consumption of their own data by 100-fold or more.

#8: Analysable data. By 2020, the high-value data — part of the digital universe — that is worth analysing to achieve actionable intelligence will double.

In closing, IDC believes that as organisations realise benefits of data experimentation and innovation, the likelihood for them to become data-driven will increase. This requires not only technology acquisition, but also close collaboration between IT and the line of business, and transformation of architecture and processes. However, the lack of talent still remains to be the biggest obstacle to many Asia Pacific organisations.

Interested?

IDC Asia/Pacific is hosting a free webcast titled Top 10 Big Data Predictions 2016 on January 27, 2016; to be led by IDC analysts Chwee Kan Chua, Qiao and Zhang. Register for the webcast

Buy the IDC FutureScape reports Worldwide Big Data and Analytics 2016 Predictions APEJ Implications (AP40492015) and
Worldwide Big Data and Analytics 2016 Predictions (IDC #259835)

Read the TechTrade Asia blog post on 2016 big data and analytics trends

*The concept of data gravity: The bigger the data set becomes, the greater the overhead the organisation takes on in its transport, storage, archiving, analysis, and search. With small amounts of data, this overhead is not material. For larger amounts of data, the implications of data gravity become much more material. The bigger the volume, the greater the gravity and the harder it becomes to move the data.