CoinDCX Report Says India Sees Rising Women Crypto Investors with 116.8% Surge

TheNewsCryptoОпубліковано о 2026-03-07Востаннє оновлено о 2026-03-07

Анотація

According to a CoinDCX report published on March 6, India has experienced a significant 116.8% yearly surge in women cryptocurrency investors, increasing their representation in the investor base to over 15%. The ratio of female to male investors improved from 1:7 to 1:6 between 2023 and 2025. The growth spans both metropolitan and non-metropolitan regions, with nearly 50% of women investors in Tier I cities and over 40% in Tier II and non-metro areas. Women typically hold an average of four tokens, including Bitcoin, Ethereum, Solana, Polygon, and XRP. The report highlights that women's growing participation is driven by a desire for financial ownership and independence, not just profits, with many starting with small investments and a focus on education. Cities like Mumbai, Delhi, and Kolkata lead in adoption, but emerging hubs such as Bhubaneswar, Vadodara, and Kochi are also seeing increased activity.

As more women enter the Indian cryptocurrency market, the overall crypto picture has evolved significantly. According to the most recent CoinDCX report published on March 6, the number of female investors rose by 116.8% in the most recent yearly growth cycle, which reflects increasing participation across both metro and non-metro regions, between 2023 and 2025, from 1:7 to 1:6.

The report revealed, “Women now account for over 15% of the total investor base, highlighting a steady shift toward greater financial participation in digital assets.” Also, the data clearly mentioned that the preference for Bitcoin and Ethereum, along with broad exposure to assets like Solana, Polygon, and XRP. Also, women owned an average of four tokens in their portfolio that include Bitcoin, Ethereum, Polygon, Solana, Cardano, XRP, Dogecoin, Shiba Inu, and Avalanche.

Expands Beyond Major Cities

Also, the report stated that participation is spreading geographically outside of established financial centers. While nearly 50% of female investors are found in Tier I cities, over 40% currently participate from Tier II and non-metropolitan areas, indicating greater financial inclusion through digital-first investing platforms.

While the report found that major cities like Mumbai, Delhi, and Kolkata have the highest levels of participation in India, and developing cities like Bhubaneswar, Vadodara, and Kochi are also witnessing an increase in the use of cryptocurrencies. These patterns are based on true accounts of women who prioritize confidence and financial freedom over hesitancy.

The report concludes that women from a variety of backgrounds and cities are embracing the cryptocurrency market because they want financial ownership rather than just possible profits. Many begin with modest investments and an emphasis on education, but the true change is psychological as they become active decision-makers rather than merely passive participants in financial conversations.

TagsCoinDCXIndia

Пов'язані питання

QWhat is the percentage increase in female crypto investors according to the CoinDCX report?

AThe number of female crypto investors in India rose by 116.8% in the most recent yearly growth cycle.

QWhat is the total investor base do women now account for, as per the report?

AWomen now account for over 15% of the total investor base.

QWhich major cryptocurrencies do women investors in India prefer, as mentioned in the report?

AThe report mentions a preference for Bitcoin and Ethereum, along with broad exposure to assets like Solana, Polygon, and XRP.

QWhat geographical shift in participation does the CoinDCX report highlight?

AThe report states that participation is spreading beyond major cities, with over 40% of female investors currently participating from Tier II and non-metropolitan areas.

QWhat is the primary motivation for women entering the crypto market, according to the report's conclusion?

AThe report concludes that women are embracing cryptocurrency because they want financial ownership and to be active decision-makers, rather than just for possible profits.

Пов'язані матеріали

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.

marsbit30 хв тому

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

marsbit30 хв тому

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.

marsbit34 хв тому

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

marsbit34 хв тому

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.

marsbit34 хв тому

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

marsbit34 хв тому

Торгівля

Спот
活动图片