AI-related investments in Asia Pacific are projected to outpace overall digital technology spending by 1.7 times, with generative artificial intelligence expected to have an estimated regional economic impact of US$1.6 trillion ($2.1 trillion) by 2027.
However, inconsistent, outdated, and biased data challenge an organisation’s ability to successfully scale generative AI initiatives. According to the study Qlik and Amazon Web Services commissioned to the International Data Corp, 80% of Asia Pacific organisations are rethinking data management as poor data quality, bias, and complex engineering cause one in five AI projects to fail.
To overcome these challenges, more than half (56%) of organisations across Asia Pacific are turning to low-code and no-code AI tools to simplify generative AI implementation.
Notably, 74% see these tools as critical for AI expansion, allowing developers to focus on higher-value tasks. This shift underscores the growing demand for accessible AI solutions to drive innovation and efficiency.
“An AI-driven future starts with two key priorities: building a strong data foundation and identifying the right business use cases for AI. From business intelligence to fraud prevention, AI offers vast opportunities – but to unlock its full potential, organisations must prioritise data integrity, governance, and innovation,” says Dr. Chris Marshall, vice president for Data, Analytics, AI, Sustainability, and Industry Research at IDC.
Alcoholic beverage company Sapporo Holdings is among the firms that have experienced the benefits of building a strong data foundation. By using Qlik to develop a data integration platform, the company could ensure data quality with real-time updates and seamless connectivity across sales, logistics, and financial departments. This enabled it to reduce data integration costs by 80% and shorten development time by 75%, creating a strong foundation for future data-driven initiatives.
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“In 2025, AI will focus on agentic AI, which is redefining business operations with dynamic, autonomous outcomes. But success depends on high-quality, accessible, and well-governed data. At Qlik, we equip organisations with AI-driven data and analytics strategies to reduce bias, improve automation, and speed up decision-making, unlocking AI’s full value,” says Maurizio Garavello, senior vice president for Asia Pacific and Japan at Qlik.
