Asia-Pacific insurers boost AI adoption despite execution hurdles
The insurance industry in Asia-Pacific has progressed past experimental phases and is now implementing innovation on a larger scale. Of this year’s winners, 31% or more of their 2025 budget was invested in new technology, up from 30% the previous year.
Regulatory bodies are matching this pace. In April 2026, the Australian Prudential Regulation Authority (APRA) cautioned insurers about falling behind in governance for AI adoption, warning of risks like over-reliance on single providers. Meanwhile, the International Data Corporation (IDC) forecasts AI spending in the region will rise from $73 billion in 2024 to $370 billion by 2029, with financial services leading the transition from fraud detection to underwriting and claims processing.
This year’s winners illustrate the industry’s rapid adaptation. For instance, Zurich Australia reduced life insurance application processing for customers with mental health disclosures from 22 days to less than a day using an AI tool developed with the University of Technology Sydney. The tool’s results demonstrate a broader industry move from isolated AI pilots to full workflow integration.
Challenges slowing AI adoption in Asia-Pacific
Despite progress, obstacles persist. Kylie Bryant, a partner at Deloitte New Zealand, highlights that outdated systems, disjointed data, and regulatory barriers still hinder adoption. “Analysts disagree on the number, not the direction,” she notes. “Five research firms size the Asia-Pacific insurtech market for 2026 anywhere from USD 6.56 billion to USD 239.19 billion, depending on how each defines the market, but every estimate points to sustained double-digit annual growth.” The biggest challenge, she adds, is execution: “The biggest challenge is not a lack of innovative ideas; it’s the ability to execute at scale.” For brokers, smooth customer experiences depend on secure data sharing—a challenge when multiple parties lack coordination.
AAMC, an Australian accident and repair manager, exemplifies how data drives action. Their AI-powered tool, built with Amazon Connect and iCXeed, allows non-technical managers to analyze contact center performance directly. The system processes 42,000 monthly interactions across 100 agents, answering not just operational questions but underlying causes. Still in limited beta, the tool includes governance controls.
AAMC’s transformation began with a pandemic-era decision to adopt full remote work, unlocking regional talent. This led to replacing an outdated phone system with a cloud-based platform. The shift enabled AI-driven insights previously unavailable to managers.
Market growth figures show this transition. While estimates for Asia-Pacific insurtech revenue range from $6.56 billion to $239.19 billion, all sources agree on one trend: rapid expansion. Fortune Business Insights projects a 33.9% annual increase, while Research and Markets forecasts 37.7% growth. Life insurance premiums, already 36% of the global total, are expected to rise 5.3% annually through 2035. However, market penetration remains uneven—just 2.6% in emerging economies and 5.4% in developed ones.
From pilots to practical AI integration
The 2026 innovators prove scaling AI requires more than technology alone. It demands seamless integration with existing processes while managing associated risks. Joanna Wong, Deloitte China’s insurance leader, notes that executives now prioritize practical applications with measurable returns over speculative experiments. The industry’s success now hinges on whether it can sustain momentum as adoption outpaces governance frameworks.
Funding patterns reflect the shift from AI experimentation to large-scale deployment. In Q2 2026, AI-focused insurtech companies captured a significant share of global insurtech funding, according to Gallagher Re’s Global InsurTech Report. This marks a departure from mid-2025, when many firms were still in trial phases.
Budget shifts reveal waning tech investment focus
While 75% of winners in 2024 allocated 31% or more of their budgets to technology, this dropped sharply to 30% in 2025. The majority of recent winners now fall within the moderate 11–30% spending range, reversing a prior upward trend.
