Mainland giants accelerate expansion as local players face unprecedented competition.
Updated
January 8, 2026 6:34 PM
HKTV Mall in Amoy Plaza. PHOTO: WIKIPEDIA USER -WPCPEY
Hong Kong is entering a new phase of competition as mainland platforms accelerate their expansion into the city, turning it into a frontline testing ground for Chinese companies preparing to push into global markets. With retail, logistics and food-delivery businesses all reshaped in the past year, Hong Kong has become the closest international environment where mainland firms can experiment with pricing, supply chains and customer behaviour under a familiar regulatory and cultural framework.
The shift became especially clear this week. At HKTVmall’s Vision Day on November 11, 2025, CEO Ricky Wong warned that Hong Kong’s traditional retail model is facing its toughest moment yet. He said the biggest threat is not mainland competitors like Taobao, JD.com or Pinduoduo entering Hong Kong, but the city’s longstanding dependence on physical shopping. If local retailers do not evolve, he said, they risk becoming “very easy to die of thirst in the desert”. Wong even welcomed the rise of mainland e-commerce giants, arguing that the more players enter the city, the faster consumers will shift online — a transition HKTVmall relies on for growth.
Yet his optimism is layered over a challenging reality. HKTVmall’s own numbers reflect pressure from competition and changing consumer habits. The company reported average daily GMV of HK$22.2 million during the latest shopping festival season — up 2.8% month-on-month but still down 4.3% compared year-on-year — showing that even established online platforms are struggling to maintain momentum as mainland entrants squeeze prices and widen product selection.
The city’s food-delivery market illustrates the shift even more sharply. Deliveroo, once the fastest-growing platform in Hong Kong and at one point holding more than half of the market, officially shut down in April this year after a long decline. Its trajectory mirrored the sector’s upheaval: the company surged during the pandemic but lost ground after restrictions eased, first overtaken by Foodpanda and then pressured heavily by Meituan-backed Keeta, which entered Hong Kong in 2023 and quickly seized about 30% of citywide orders.
Deliveroo’s exit and the handover of parts of its business to Foodpanda did little to stabilise the market. Keeta’s rapid expansion instead pushed Foodpanda onto the defensive, leaving two major players competing in a market shaped by mainland-style pricing and operations. Hong Kong’s delivery sector, once dominated by global firms, is increasingly defined by Chinese platforms optimizing speed and efficiency at a scale few competitors can match.
These changes are unfolding as Chinese companies shift their focus toward new global markets.
With China reducing its reliance on the US and EU and exports steadily moving toward ASEAN, Hong Kong has become a strategic launchpad. The city’s proximity, language familiarity and regulatory structure make it the nearest international setting where Chinese firms can test overseas strategies before expanding into Southeast Asia, the Middle East or Latin America. The result is a competitive intensity that local companies have rarely experienced. Retailers face price pressure they can’t match, local platforms are losing ground to mainland giants and global players are struggling to stay in the game.
Consumers benefit from lower prices, faster delivery and wider choice — but for Hong Kong businesses, the landscape has turned unforgiving. Mainland companies are not treating Hong Kong as a final destination but as the first stop in a broader global push. That positioning is reshaping the city’s entire consumer economy. As more mainland firms look outward, Hong Kong’s role as a testing ground will only deepen and the first players to feel the impact will be those operating closest to the consumer.
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Quantara AI launches a continuous platform designed to estimate the financial impact of cyber risk as companies move beyond periodic assessments
Updated
February 20, 2026 6:43 PM
A person tightrope walking between two cliffs. PHOTO: UNSPLASH
Cyber risk is increasingly treated as a financial issue. Boards want to know how much a cyber incident could cost the company, how it could affect earnings, and whether current security spending is justified.
Yet many organizations still measure cyber risk through periodic reviews. These assessments are often conducted once or twice a year, supported by consultants and spreadsheet models. By the time the report reaches senior leadership, the company’s systems may have changed and new threats may have emerged. The way risk is measured does not always match how quickly it evolves.
This gap is where Quantara AI is positioning its new platform. Quantara AI, a Boise-based cybersecurity startup, has introduced what it describes as the industry’s first persistent AI-powered cyber risk solution. The system is designed to run continuously rather than rely on occasional assessments.
The company’s core argument is straightforward: not every security weakness carries the same financial consequence. Instead of ranking issues only by technical severity, the platform analyzes active threats, identifies which company systems are exposed, and estimates how much money a successful attack could cost. It uses statistical models, including Value at Risk (VaR), to calculate potential losses. It also estimates how specific security improvements could reduce that projected loss.
The timing aligns with a broader market shift. International Data Corporation (IDC) projects that by 2028, 40% of enterprises will adopt AI-based cyber risk quantification platforms. These tools convert security data into financial estimates that can guide budgeting and investment decisions. The forecast reflects growing pressure on security leaders to present risk in terms that boards and regulators understand.
Traditional compliance and risk management systems often focus on meeting regulatory standards. Vulnerability management programs typically score weaknesses based on technical characteristics. Consultant-led risk studies provide detailed analysis, but they are usually performed at set intervals. In fast-changing threat environments, that model can leave decision-makers working with outdated information.
Quantara’s platform attempts to replace that periodic process with continuous measurement. It brings together threat data, internal system information and financial modeling in one system. The goal is to show, at any given time, which specific weaknesses could lead to the largest financial losses.
Cyber risk quantification as a concept is not new. What is changing is the expectation that these calculations be updated regularly and tied directly to financial decision-making. As cyber incidents carry clearer monetary consequences, companies are looking for ways to measure exposure with greater precision.
The broader question is whether enterprises will shift fully toward continuous, AI-driven risk analysis or continue relying on periodic external assessments. What is clear is that cybersecurity discussions are moving closer to financial reporting — and tools that estimate potential loss in dollar terms are becoming central to that shift.