2026 Crypto Funding Reshuffle: Game and DePIN Are Dead, Prediction Market Duo Takes 18% of All Year's Funding with Two Deals

marsbitPubblicato 2026-05-08Pubblicato ultima volta 2026-05-08

Introduzione

Cryptocurrency Funding in 2026: Gaming & DePIN Falter as Prediction Markets Dominate Data from the first four months of 2026 reveals a stark shift in crypto venture funding. The gaming and DePIN (Decentralized Physical Infrastructure Networks) sectors have seen capital nearly dry up. In contrast, the "Consumer" category, led by two massive deals for prediction market platforms Kalshi ($1B) and Polymarket ($600M), captured a significant share. These two deals alone accounted for 18% of the year's total $8.65 billion raised and exceeded the combined funding of all 47 DeFi projects. Overall, the $8.65B across 305 deals is misleading. A March surge to $4.57B was largely due to two major acquisitions (BVNK at $1.8B and Kalshi). Excluding these, the underlying monthly funding rate is approximately $1B, indicating continued softness. The "Payments" and "Consumer" sectors together consumed 72% of all capital. Another notable trend is the rise of mergers and acquisitions (M&A), with 48 deals nearly matching the 57 seed-round investments. This signals a market pivot from funding new ideas to consolidating around established leaders. The most active investors so far in 2026 are Coinbase Ventures (18 deals), Tether (13 deals), Animoca Brands (11 deals), and GSR (11 deals). Notably, a16z's pace has slowed significantly compared to previous years.

Author:Memento Research

Compiled by: Deep Tide TechFlow

Deep Tide TechFlow Introduction: Crypto funding data for the first four months of 2026 reveals a harsh reality: the Game and DePIN sectors are nearly starved of capital, while Kalshi and Polymarket, two prediction market companies, have taken more money than all DeFi projects combined for the entire year. More alarmingly, the number of M&A deals has already matched seed rounds, indicating a shift in capital from betting on new ideas to acquiring existing leaders.

Funding Overview: March's Surge Was an Illusion

From January 1st to May 6th, 2026, the crypto industry completed 305 funding rounds, totaling $8.65 billion. However, the "surge" to $4.57 billion in March was actually just two massive M&A deals: BVNK's $1.8 billion and Kalshi's $1.0 billion.

Excluding these two deals, the real funding pace is about $1 billion per month, even weaker than at the end of 2025.

Capital Flow: Payments and Consumer Absorb 72%

By sector breakdown:

Payments: $3.74 billion (56 deals)

Consumer: $2.48 billion (35 deals)

DeFi: $1.06 billion (47 deals, the highest number of transactions)

The Payments and Consumer sectors combined account for 72% of the year's total funding. Funding for Game and DePIN has nearly vanished.

Prediction Markets Dominate the Consumer Sector

Two prediction market companies accounted for 18% of the year's total funding:

Kalshi: $1.0 billion

Polymarket: $600 million

These two deals totaling $1.6 billion exceed the sum of all 47 DeFi funding rounds.

M&A Becomes Mainstream

M&A deals reached 48 (accounting for 23% of known-stage transactions), nearly matching the 57 seed rounds (27%). This cycle has shifted from investing in new ideas in early stages to acquiring industry leaders.

Investor Rankings Reshuffled

Most active funds in 2026:

Coinbase Ventures: 18 deals (ranked second during 2021-26 period)

Tether: 13 deals (new top lead investor)

Animoca Brands: 11 deals (ranked first during 2021-26 period)

GSR: 11 deals

a16z: 7 deals (a significant drop compared to ~200 deals during 2021-26 period)

Domande pertinenti

QAccording to the article, which two sectors took the majority of crypto funding in early 2026?

AThe Payments and Consumer sectors took the majority of crypto funding, together accounting for 72% of the total capital raised.

QWhat significant trend does the data reveal about mergers and acquisitions (M&A) compared to seed funding?

AThe data shows that M&A deals reached 48 (23% of known-stage deals), almost catching up to seed rounds at 57 deals (27%). This indicates a shift in the investment cycle from funding new ideas to acquiring established industry leaders.

QWhy was the spike in funding for March 2026 described as an 'illusion'?

AThe spike to $4.57 billion in March was largely an illusion because it was driven by just two mega-deals: an $1.8 billion acquisition of BVNK and a $1 billion deal with Kalshi. Removing these two transactions reveals a slower, more sluggish monthly funding pace of around $1 billion.

QHow did the funding for prediction market companies compare to the total funding for all DeFi projects in the period covered?

AThe two prediction market companies, Kalshi ($1 billion) and Polymarket ($600 million), together raised a combined $1.6 billion. This amount exceeded the total raised by all 47 DeFi projects, which was $1.06 billion.

QWhich investment firms were the most active in terms of deal count during early 2026, and how did this compare to their historical activity?

AIn early 2026, the most active investors by deal count were Coinbase Ventures (18 deals, historically ranked 2nd from 2021-26), Tether (13 deals, new top investor), Animoca Brands (11 deals, historically ranked 1st), GSR (11 deals), and a16z (7 deals, showing a significant decline from its historical ~200 deals between 2021-26).

Letture associate

SpaceX, OpenAI, Anthropic: The Three AI Giants Racing for IPO, Which One Is Worth Betting On?

SpaceX, OpenAI, and Anthropic are poised for historic IPOs within weeks, potentially raising a combined $180 billion—a sum exceeding the entire internet bubble's fundraising. The hosts of the Limitless Podcast argue this isn't just individual company financing but an unprecedented capital concentration for AI infrastructure, driven by an insatiable need for compute, data centers, power, and chips. SpaceX's IPO is notable for reportedly changing market index rules to allow faster inclusion, potentially funneling trillions in passive retirement funds into its stock, despite its unproven space-based data center business model. In contrast, Anthropic demonstrates explosive growth, with ARR reportedly hitting $45 billion and approaching profitability, fueled by strong enterprise adoption of products like Claude Code. Google's separate $80 billion raise highlights the immense capital pressure, even for giants. The discussion acknowledges bubble risks but leans optimistic. The hosts contend the massive spending is building essential physical infrastructure for the next technological era. A key bottleneck isn't capital but the real-world limits of chip manufacturing and construction speed. As long as demand for AI compute outstrips supply, this investment cycle represents a foundational build-out rather than a purely financial bubble. All three companies are seen as foundational bets on the future, with Anthropic often cited as the most immediately compelling due to its proven revenue trajectory.

marsbit1 h fa

SpaceX, OpenAI, Anthropic: The Three AI Giants Racing for IPO, Which One Is Worth Betting On?

marsbit1 h fa

From 'Old Guys' to 'New Favorites': How AI Is Revaluing Old Infrastructure from Dell to Nokia?

From "Vintage Tech" to "New AI Darlings": How AI Revalues Old Infrastructure One year ago, tech giants like Dell, Nokia, Cisco, and Western Data were seen as slow-growth, low-valuation stories, far from the AI spotlight dominated by players like Nvidia. Now, these legacy tech stocks are gaining market attention, sparking debate on whether this is genuine industry revaluation or a temporary narrative. As AI moves from model parameters to real-world data centers, the market is recognizing companies with proven delivery and infrastructure capabilities. This shift marks a change in the AI investment thesis: from pure model and GPU focus to the complex systems engineering required for deployment. Companies like Dell, HPE, and Corning are being revalued not for being "sexy" AI innovators, but for their decades of accumulated expertise in supply chains, enterprise delivery, and infrastructure—assets that have become critical in the AI buildout phase. The revaluation is unfolding across three key infrastructure lines: 1. **Servers & System Integration:** Dell and HPE are emerging as crucial system integrators or "general contractors" for AI data centers, translating GPU orders into complete, deployable server racks integrated with power, cooling, and networking. 2. **Networking & Connectivity:** AI's scale demands robust high-speed connections. Corning (fiber optics), Nokia (AI-RAN, 6G), and Cisco (data center switches) are gaining importance for enabling efficient data transfer within and between AI clusters. 3. **Storage:** Beyond high-speed memory (HBM/DRAM), the AI data explosion is driving demand for high-capacity hard drives (HDDs) from companies like Western Digital and Seagate to handle training data, logs, and cold storage cost-effectively. For this revaluation to be substantive and not just a narrative, three criteria are key: 1) Concrete AI-related order and revenue growth (e.g., Dell's AI server sales), 2) Upward revisions to company financial guidance, and 3) Sustainable improvements in profit quality, not just top-line revenue spikes. In essence, AI's transition to a real construction phase is re-pricing "old assets" against "new demand." The opportunity, however, is selective. Only those legacy firms that are demonstrably integrated into the capital expenditure chains of data center and enterprise AI deployment are likely to experience a true "logic re-rating" rather than just a temporary valuation bounce.

marsbit1 h fa

From 'Old Guys' to 'New Favorites': How AI Is Revaluing Old Infrastructure from Dell to Nokia?

marsbit1 h fa

The Merger of Codex and ChatGPT Marks the Beginning of a Major Reshuffle in Programming Tools

OpenAI is shifting its strategic focus from ChatGPT to Codex, merging them along with the browser tool Atlas into a unified desktop super-app. This move signals an internal belief that Codex, originally a programming tool, represents the next evolution of AI more than conversational models like ChatGPT. Over the past year, Codex's weekly active users have surged past 5 million. The key distinction is that while ChatGPT answers questions, Codex executes tasks. Enterprises increasingly value this ability to get work done over simply receiving advice. Consequently, Codex is attracting professionals beyond developers, including analysts, bankers, marketers, and product managers. OpenAI's reorganization and increased investment in Codex stem from recognizing that the future of AI competition lies in execution capabilities, not just conversation. The company is launching role-specific plugins (e.g., for data analysis, sales, design) to transform Codex into a broad knowledge work platform that automates and redefines white-collar workflows. Beyond being a tool, Codex reflects OpenAI's ambition to redefine software. New features like "Sites"—which generates interactive websites from documents—and collaborative "Annotations" aim to create a paradigm where the AI understands the goal and handles the tools and steps, functioning more like a digital colleague than traditional software. The ultimate goal is a unified experience where the user cares only about the completed task.

marsbit1 h fa

The Merger of Codex and ChatGPT Marks the Beginning of a Major Reshuffle in Programming Tools

marsbit1 h fa

Interpreting Investment Opportunities in the Age of Great Navigation, Invesco Great Wall Fund Releases '2026 Report on Chinese Enterprises Going Global'

Invesco Great Wall Fund has released its "2026 China Corporate Globalization Report," titled "The 'Great Navigation Era' of Chinese Enterprises." The report analyzes the new trends and investment opportunities as Chinese companies expand globally, moving from simple product exports to comprehensive overseas operations involving services, branding, and local production. Driven by factors like trade friction, the pursuit of higher profit margins abroad, and policy support, globalization is becoming essential for Chinese companies. The report outlines an evolution: from early product export ("Globalization 1.0") to the current "Globalization 2.0," characterized by overseas capacity, capital goods investment, consumer brand expansion, and service exports. Chinese firms' competitive advantages are highlighted, including a vast engineer talent pool, low-cost and robust infrastructure, and complete industrial clusters. Specific sectors with significant出海 potential are identified: * **Capital Goods** (e.g., engineering machinery, power equipment): Benefiting from global demand, especially in Belt & Road markets and the AI-driven power grid upgrade cycle. * **Consumer Brands**: Transitioning from cost to brand advantage, leveraging供应链 efficiency. * **Technology & Innovation**: Including AI applications, optical modules within global tech supply chains, and new energy vehicles focusing on local production. * **Pharmaceuticals**: Chinese biotech firms are becoming preferred partners for global pharma, with potential for breakthrough drugs in areas like oncology and weight loss. The report concludes that corporate globalization represents a sustained, core theme for China's capital markets, though companies must navigate challenges like geopolitics and localization.

marsbit1 h fa

Interpreting Investment Opportunities in the Age of Great Navigation, Invesco Great Wall Fund Releases '2026 Report on Chinese Enterprises Going Global'

marsbit1 h fa

Trading

Spot
Futures
活动图片