Global Wealth Report: US Produces 36 New Millionaires Daily, India Emerges as Fastest-Growing Dark Horse

marsbitPublicado em 2026-04-25Última atualização em 2026-04-25

Resumo

Knight Frank's "The Wealth Report 2026" highlights the rapid expansion of global private wealth. Between 2021 and 2026, the number of ultra-high-net-worth individuals (UHNWIs), those with over $30 million, increased by 162,191 to 713,626—averaging 89 new millionaires daily. The United States led this growth, contributing 41% of all new UHNWIs and increasing its global share from 33% to 35%. China remains the second-largest wealth hub, though its share declined from 18% to 17%. India emerged as a standout, with a 63% surge in UHNWIs. Regionally, North America dominates with 37% of UHNWIs, followed by Asia-Pacific (31%) and Europe (25%). The Middle East also saw significant growth. Future growth is expected from rapidly maturing economies like Indonesia, Saudi Arabia, and Poland.

Author: Knight Frank

Compiled by: Felix, PANews

Global private real estate advisory firm Knight Frank recently released the "2026 Wealth Report," highlighting the rapid expansion of global private wealth and dynamic changes in its geographical distribution. PANews has summarized the core content of the report.

The report shows that between 2021 and 2026, the number of global ultra-high-net-worth individuals (with wealth exceeding $30 million) increased from 551,435 to 713,626, adding 162,191 new ultra-high-net-worth individuals over five years, or an average of 89 people per day breaking through the $30 million wealth threshold.

The United States led this wealth growth. During this period, 41% of all new ultra-high-net-worth individuals came from the U.S. The U.S. share of global ultra-high-net-worth individuals steadily increased from 33% in 2021 to 35% in 2026. By 2031, the U.S. is projected to account for 41% of the world's ultra-high-net-worth individuals.

China remains the world's second-largest wealth creation center, although its relative position is declining. China's share of global ultra-high-net-worth individuals fell from 18% in 2021 to 17% in 2026 and is expected to drop further to 15% by 2031. In fact, almost all countries are losing their global market share to accommodate the continued growth of U.S. wealth.

India is a counterexample. Between 2021 and 2026, its number of ultra-high-net-worth individuals (over $30 million) surged by 63%, from just over 12,000 to nearly 20,000. India's share of global ultra-high-net-worth individuals is only 2.8%, up from just over 2% five years ago. By 2031, the number of ultra-high-net-worth individuals in India is expected to increase from the current 19,877 to 25,217.

Australia holds a position in the global wealth landscape that far exceeds its size. Over the next five years, its number of ultra-high-net-worth individuals is expected to grow by nearly 60%, reaching 26,095, accounting for almost one-thousandth of its total population. Australia has a large number of billionaires, which is projected to grow by 77% between 2026 and 2031.

By region, the global wealth landscape is dominated by three major areas.

North America leads, accounting for 37% of global ultra-high-net-worth individuals in 2026. The Asia-Pacific region accounts for nearly 31% of ultra-high-net-worth individuals in 2026. Europe follows closely, with 183,953 super-rich, representing about a quarter of the global total. Beyond these regions, the Middle East stands out. Over the past five years, the Middle East's share of global millionaires increased from 2.4% to 3.1%.

Additionally, the geographical distribution of the world's 3,110 billionaires is more dispersed than the broader ultra-high-net-worth individual group. The Asia-Pacific region has the most billionaires, with 1,116, followed by North America with 965. The Middle East accounts for just over 4% of the world's billionaires, significantly higher than its share of ultra-high-net-worth individuals.

Looking ahead, billionaire growth is expected to be highly geographically diverse. In percentage terms, Saudi Arabia is projected to lead, with its number of billionaires growing by 183%, followed by Poland (123%), Sweden (81%), and Australia (77%). This highlights the increasingly global trend of future billionaire growth.

Over the next five years, the growth of global ultra-high-net-worth individuals will not be led by traditional economies but by some rapidly maturing economies. Indonesia tops the list, with its number of ultra-high-net-worth individuals (over $30 million) expected to surge by 82% by 2031. It is followed by Saudi Arabia and Poland, both with growth rates exceeding 60%. Vietnam's nearly 60% growth highlights the rapid rise of emerging wealth centers in Southeast Asia.

Europe also shows strong performance, with Sweden, Romania, and Greece all achieving significant growth. Although wealth remains concentrated in a few global economic powerhouses, its geographical distribution is expanding.

Related reading: California to 'Harvest' 5% from Billionaires in One Go? Some Are Moving Overnight

Perguntas relacionadas

QAccording to Knight Frank's report, how many new ultra-high-net-worth individuals (UHNWIs) were added globally between 2021 and 2026, and what was the daily average?

ABetween 2021 and 2026, 162,191 new ultra-high-net-worth individuals (with wealth exceeding $30 million) were added globally, which is an average of 89 people per day.

QWhich country was the dominant force in global wealth creation, contributing the largest share of new UHNWIs, and what is its projected share by 2031?

AThe United States was the dominant force, contributing 41% of all new UHNWIs. Its share of the global UHNWI population is projected to rise to 41% by 2031.

QIndia is highlighted as a standout performer. What was the percentage growth of its UHNWI population from 2021 to 2026?

AIndia's ultra-high-net-worth individual population surged by 63% between 2021 and 2026.

QWhich three regions currently dominate the global wealth landscape in terms of UHNWI concentration, and what are their respective shares?

AThe three dominant regions are North America (37% of global UHNWIs in 2026), the Asia-Pacific region (nearly 31%), and Europe (about 25%).

QWhich country is expected to have the highest percentage growth in its billionaire population, according to the future projections in the report?

ASaudi Arabia is expected to lead in billionaire growth, with a projected increase of 183%.

Leituras Relacionadas

From South Korea to the United States: Blue-Collar Jobs Are Becoming Increasingly Popular, Thanks to AI

AI is reshaping the labor market's value proposition. The traditional four-year college degree is losing its appeal as a guaranteed career path, while skilled blue-collar trades like electricians, welders, and plumbers are experiencing historic demand and wage premiums. This shift is driven by dual pressures: AI's displacement of certain white-collar roles and a booming need for physical infrastructure and data center construction. Data confirms the trend. In the U.S., vocational school revenue surged, and a significant portion of recent layoffs are AI-related. Surveys show a majority of Gen Z adults plan to pursue blue-collar work, citing better job security against AI automation. Vocational education interest has exploded recently. Experts cite a psychological shift as younger generations seek tangible, AI-resistant careers and avoid high student debt. In many cases, salaries for skilled trades now match or exceed those requiring a bachelor's degree. In South Korea, semiconductor vocational high schools boast near-total employment, with graduates securing high-paying roles at companies like Samsung. The shortage is structural, exacerbated by a retiring baby boomer workforce and massive infrastructure projects. Companies like JPMorgan Chase, Meta, and Lowe's are investing heavily in training programs. However, overcoming historical stigma and a "perception gap" around trade careers remains a key challenge to closing the talent gap.

marsbitHá 7m

From South Korea to the United States: Blue-Collar Jobs Are Becoming Increasingly Popular, Thanks to AI

marsbitHá 7m

Qualcomm: AI Hype Subsides, When Will Smartphones Emerge from the Gloom?

Qualcomm reported its Q3 FY2026 results (ending June 2026), with revenue of $9.95B, down 4% YoY but above expectations. Gross margin declined to 53.1%, pressured by rising costs across manufacturing and memory. Key business segments showed mixed performance: Handset revenue fell 19.6% YoY to $5.09B, dragged by an 11% decline in non-Apple Android shipments and weaker high-end mix. Conversely, Automotive revenue surged 61% to $1.59B, and IoT grew 9% to $1.83B. Core operating profit dropped 41% YoY due to margin compression and higher expenses. Management's Q4 FY2026 guidance projects revenue of $9.7B-$10.5B, in line with consensus, but Non-GAAP EPS guidance of $2.05-$2.25 fell short of expectations. Amidst persistent weakness in its core handset market, Qualcomm is pursuing growth in AI, focusing on Edge AI (smartphones, PCs, automotive) and Data Center AI. Its data center strategy includes four pillars: AI accelerators (e.g., AI200), commercial CPUs (Dragonfly C1000), custom silicon, and connectivity solutions. While these initiatives initially boosted its stock, concerns over AI capital expenditure sustainability have since erased those gains. The company targets $5B in data center revenue for FY2027 and $15B for FY2029. The report concludes that with the traditional handset business still under pressure, the data center opportunity is currently viewed as a longer-term option, and a more conservative valuation based on core operations may be warranted until AI contributions materialize.

marsbitHá 11m

Qualcomm: AI Hype Subsides, When Will Smartphones Emerge from the Gloom?

marsbitHá 11m

From TPU to Self-Evolving Agents: How Jeff Dean Predicts the Next Step in AI

At the 2026 YC Startup School, Jeff Dean outlined his vision for AI's next phase, shifting focus from simply scaling models to building intelligent, autonomous systems. He believes AI's progress is no longer just about creating smarter models, but about integrating them into systems capable of long-term, iterative work, automated experimentation, and continuous learning. This evolution moves the competition from "who has the bigger model" to "who can best organize intelligence." Dean suggests AI capabilities are now comparable to a junior engineer, enabling the automation of complex workflows. However, the true challenge and opportunity lie in managing these AI "workers" at scale. He emphasizes the importance of **context engineering**—structuring tools, memory, and feedback loops—over raw model power. For startups, this means building deep expertise in niche domains where general models currently fail (near 0-1% success rates), leveraging proprietary data, specialized tools, and domain-specific evaluators. A recurring theme is re-examining fundamental constraints. Dean's past work, like moving Google's search index to memory or creating the TPU, stemmed from questioning outdated assumptions about hardware and cost. He sees similar inflection points today, particularly in **specialized inference hardware** to drastically reduce latency and energy consumption for real-time Agent operation. Notably, he points out that in modern AI systems, the dominant cost is often not computation but **data movement**. Reliable, long-running Agents require robust system design, borrowing concepts from distributed computing like checkpointing, state management, and parallel exploration to handle failures and maintain progress over days or weeks. As AI automates execution, the scarcest human skills will shift to **defining clear specifications**, **judging what problems are worth solving** (taste), and designing effective feedback loops. Ultimately, Dean's framework prioritizes understanding the problem deeply, identifying the true bottlenecks, and systematically building closed-loop systems where AI can not only perform tasks but also improve AI itself.

marsbitHá 11m

From TPU to Self-Evolving Agents: How Jeff Dean Predicts the Next Step in AI

marsbitHá 11m

Trading

Spot
活动图片