Commentary

As more businesses grow their presence online, cyber insurance is slowly gaining traction.

Digitalisation can be a double-edged sword.

The effort to embrace and promote sustainability is not without challenges

Insurers stuck in traditional ways may find it hard to outclass these new disrupters.

Customer experience is a crucial area where growing insurance companies have an opportunity to stand.

Despite the challenges arising from the ongoing global pandemic, Hong Kong, with its expertise and massive capital flows in the insurance market, will always be the Asian hub for multinational insurers

Insurers in Southeast Asia are bullish about their growth prospects for 2022, despite lingering concerns about the potential impact of COVID-19 variants on overall business recovery and return-to-workplace strategies. But beyond ongoing efforts to adapt to the pandemic’s aftermath, insurance leaders are also confronted with multiple fundamental hurdles that could potentially derail their progress. 

The impact of COVID-19 has exemplified the need to insure against individual and business risks of various kinds. At the same time, changing consumer behaviour is leading to varied demands of risk protection that are not limited to life, accident or health coverage. 

The Asian insurance industry has shown strong resilience, despite the economic crisis brought about by the COVID-19 pandemic since the start of 2020. According to a recent Bank of Singapore article, China‘s GDP is expected to grow by 8.7% in 2021 whilst key Asian countries such as Singapore, South Korea, and Taiwan are expected to grow by an average 5%.

Kenneth Koh is the Global Principal and Director of Insurance, Financial Services Practice, SAS Institute.

In recent years, Asian insurers have increasingly turned to data and analytics tools to drive growth and improve operational efficiency. Many have invested in starting up analytics teams or setting up insurtech partnerships to launch pilots. To date, some of the most popular use cases revolve around increasing new business by suggesting the next product to buy, improving claim-fraud detection, and increasing the straight-through processing rate of new life insurance policies.

When cities and countries across the world finally come out of lockdown, the society that emerges will be fundamentally different. Post COVID-19, people will continue to increase interacting with friends, family, businesses and governments via digital channels. For insurers, this new approach poses a significant transformation challenge and opportunity. Challenge because the industry is encumbered with numerous legacy systems that are hard to update and a distribution model that still relies mainly on face-to-face interactions and a product push model. Opportunity because this a time when customers seek advice and solutions from their insurers and are open to engage in new ways; also because some of the resistance to new ways of working and engaging has just been taken out by the new normal in a (post) COVID-19 world.

A banking revolution is sweeping across Asia as increasing numbers of countries introduce new regulatory frameworks for digital banking. Malaysia is next: Bank Negara Malaysia (BNM), the central bank, is currently seeking industry comments on a proposed framework for digital-bank licence applications.

Delivering a step-change in value.

How long did it take to sell 240,000 insurance policies online in 2017? Most insurance leaders across Asia guess “at least a few weeks.” The reality is that, in the age of digital, it only took a second. The record was set on Alibaba Tmall.com website on 11 November 2017 by Zhong An, Chinese digital-first insurer and the most successful global insurtech so far. The pace of Zhong An growth has given the much-needed wake-up call for the insurance industry.

The use of robots to drive tangible business benefits is very much a reality today. According to Transparency Market Research, the global IT-enabled robotic process automation (RPA) market is expected to reach $5 billion by 2020. RPA is just the beginning; cognitive capabilities that enable machines to perform tasks reserved for human intelligence are now being leveraged with robotics. Robotics and cognitive automation (R&CA) is expected to foster greater collaboration between humans and machine by both automating repetitive tasks and enhancing the quality of jobs.