2026 Crypto Financing Reshuffle: Gaming and DePIN Are Dead, Two Prediction Market Deals Gobble Up 18% of Yearly Funding

marsbitPublished on 2026-05-09Last updated on 2026-05-09

Abstract

Crypto Funding Shakeup in 2026: Gaming & DePIN Fade, Prediction Markets Dominate Analysis of crypto funding from January 1 to May 6, 2026, reveals a major sectoral shift. The industry raised $8.65 billion across 305 deals. However, a March surge to $4.57 billion was largely due to two mega-deals: BVNK's $1.8 billion acquisition and a $1 billion raise by Kalshi. Excluding these, monthly funding is a sluggish ~$1 billion. Capital concentration is extreme. The Payments ($3.74B) and Consumer ($2.48B) sectors absorbed 72% of all funds. Within Consumer, prediction markets were dominant: Kalshi's $1B and Polymarket's $600M raises together accounted for 18% of the year's total, surpassing all 47 DeFi deals combined ($1.06B). In contrast, Gaming and DePIN sectors saw funding nearly vanish. A strategic pivot is underway. Merger & Acquisition (M&A) activity reached 48 deals, nearly matching the 57 seed-stage rounds. This indicates capital is increasingly flowing toward acquiring established leaders rather than betting on new ideas. 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 its 2021-2026 average.

Author: Memento Research

Compilation: TechFlow Deep Tides

Deep Tides Intro: Crypto financing data from the first four months of 2026 reveals a brutal reality: funding for the gaming and DePIN sectors has nearly dried up, 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 caught up with seed rounds, indicating that capital is shifting from betting on new ideas to acquiring existing industry leaders.

Financing Overview: The March Surge Was Just an Illusion

From January 1 to May 6, 2026, the crypto industry completed 305 financing rounds, totaling $8.65 billion. However, the "surge" of $4.57 billion in March was essentially just two mega M&A deals: BVNK's $1.8 billion and Kalshi's $1 billion.

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

Fund Flow: Payments and Consumer Gobble Up 72%

By sector:

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 together account for 72% of the year's funding. Financing for gaming and DePIN has almost vanished.

Prediction Markets Dominate the Consumer Sector

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

Kalshi: $1 billion

Polymarket: $600 million

These two deals total $1.6 billion, exceeding the combined total of all 47 DeFi financing rounds.

M&A Becomes Mainstream

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

Investor Rankings Reshuffled

Most active funds in 2026:

Coinbase Ventures: 18 deals (Ranked 2nd during 2021-26)

Tether: 13 deals (New top lead investor)

Animoca Brands: 11 deals (Ranked 1st during 2021-26)

GSR: 11 deals

a16z: 7 deals (Significantly down from ~200 deals during 2021-26)

Related Questions

QWhat were the two major M&A deals that dominated the funding figures for March 2026, and what were their values?

AThe two major M&A deals were BVNK, which raised $1.8 billion, and Kalshi, which raised $1 billion.

QWhich two sectors accounted for 72% of total funding in early 2026, and what were the respective funding amounts?

AThe Payments and Consumer sectors accounted for 72% of total funding. Payments raised $3.74 billion across 56 deals, while Consumer raised $2.48 billion across 35 deals.

QHow much funding did the prediction market companies Kalshi and Polymarket receive collectively, and what percentage of the year's total funds does this represent?

AKalshi and Polymarket collectively received $1.6 billion in funding, which represents 18% of the total funds raised in early 2026.

QWhat significant trend is highlighted by the number of M&A transactions (48) nearly matching the number of seed rounds (57) in early 2026?

AThe trend highlights a market shift where capital is moving away from funding new ideas (seed-stage investments) and towards acquiring existing market leaders (M&A).

QAccording to the article, which were the most active investment funds in early 2026 by number of deals?

AThe most active funds were Coinbase Ventures with 18 deals, Tether with 13 deals, and Animoca Brands and GSR with 11 deals each.

Related Reads

Gensyn AI: Don't Let AI Repeat the Mistakes of the Internet

In recent months, the rapid growth of the AI industry has attracted significant talent from the crypto sector. A persistent question among researchers intersecting both fields is whether blockchain can become a foundational part of AI infrastructure. While many previous AI and Crypto projects focused on application layers (like AI Agents, on-chain reasoning, data markets, and compute rentals), few achieved viable commercial models. Gensyn differentiates itself by targeting the most critical and expensive layer of AI: model training. Gensyn aims to organize globally distributed GPU resources into an open AI training network. Developers can submit training tasks, nodes provide computational power, and the network verifies results while distributing incentives. The core issue addressed is not decentralization for its own sake, but the increasing centralization of compute power among tech giants. In the era of large models, access to GPUs (like the H100) has become a decisive bottleneck, dictating the pace of AI development. Major AI companies are heavily dependent on large cloud providers for compute resources. Gensyn's approach is significant for several reasons: 1) It operates at the core infrastructure layer (model training), the most resource-intensive and technically demanding part of the AI value chain. 2) It proposes a more open, collaborative model for compute, potentially increasing resource utilization by dynamically pooling idle GPUs, similar to early cloud computing logic. 3) Its technical moat lies in solving complex challenges like verifying training results, ensuring node honesty, and maintaining reliability in a distributed environment—making it more of a deep-tech infrastructure company. 4) It targets a validated, high-growth market with genuine demand, rather than pursuing blockchain integration without purpose. Ultimately, the boundaries between Crypto and AI are blurring. AI requires global resource coordination, incentive mechanisms, and collaborative systems—areas where crypto-native solutions excel. Gensyn represents a step toward making advanced training capabilities more accessible and collaborative, moving beyond a niche controlled by a few giants. If successful, it could evolve into a fundamental piece of AI infrastructure, where the most enduring value in the AI era is often created.

marsbit2h ago

Gensyn AI: Don't Let AI Repeat the Mistakes of the Internet

marsbit2h ago

Why is China's AI Developing So Fast? The Answer Lies Inside the Labs

A US researcher's visit to China's top AI labs reveals distinct cultural and organizational factors driving China's rapid AI development. While talent, data, and compute are similar to the West, Chinese labs excel through a pragmatic, execution-focused culture: less emphasis on individual stardom and conceptual debate, and more on teamwork, engineering optimization, and mastering the full tech stack. A key advantage is the integration of young students and researchers who approach model-building with fresh perspectives and low ego, prioritizing collective progress over personal credit. This contrasts with the US culture of self-promotion and "star scientist" narratives. Chinese labs also exhibit a strong "build, don't buy" mentality, preferring to develop core capabilities—like data pipelines and environments—in-house rather than relying on external services. The ecosystem feels more collaborative than tribal, with mutual respect among labs. While government support exists, its scale is unclear, and technical decisions appear driven by labs, not state mandates. Chinese companies across sectors, from platforms to consumer tech, are building their own foundational models to control their tech destiny, reflecting a broader cultural drive for technological sovereignty. Demand for AI is emerging, with spending patterns potentially mirroring cloud infrastructure more than traditional SaaS. Despite challenges like a less mature data industry and GPU shortages, Chinese labs are propelled by vast talent, rapid iteration, and deep integration with the open-source community. The competition is evolving beyond a pure model race into a contest of organizational execution, developer ecosystems, and industrial pragmatism.

marsbit3h ago

Why is China's AI Developing So Fast? The Answer Lies Inside the Labs

marsbit3h ago

3 Years, 5 Times: The Rebirth of a Century-Old Glass Factory

Corning, a 175-year-old glass company, is experiencing a dramatic revival as a key player in AI infrastructure, driven by surging demand for high-performance optical fiber in data centers. AI data centers require vastly more fiber than traditional ones—5 to 10 times as much per rack—to handle high-speed data transmission between GPUs. This structural demand shift, coupled with supply constraints from the lengthy expansion cycle for fiber preforms, has created a significant supply-demand gap. Nvidia has invested in Corning, along with Lumentum and Coherent, in a $4.5 billion total commitment to secure the optical supply chain for AI. Corning's competitive edge lies in its expertise in producing ultra-low-loss, high-density, and bend-resistant specialty fiber, which is critical for 800G+ and future 1.6T data rates. Its deep involvement in co-packaged optics (CPO) with partners like Nvidia further solidifies its position. While not the largest fiber manufacturer globally, Corning's revenue from enterprise/data center clients now exceeds 40% of its optical communications sales, and it has secured multi-year supply agreements with major hyperscalers including Meta and Nvidia. Financially, Corning's optical communications revenue has surged, doubling from $1.3 billion in 2023 to over $3 billion in 2025. Its stock price has risen nearly 6-fold since late 2023. Key future catalysts include the rollout of Nvidia's CPO products and the scale of undisclosed customer agreements. However, risks include high current valuations and potential disruption from next-generation technologies like hollow-core fiber. The company's long-term bet on light over electricity, maintained even through the telecom bubble crash, is now being validated by the AI boom.

marsbit4h ago

3 Years, 5 Times: The Rebirth of a Century-Old Glass Factory

marsbit4h ago

Trading

Spot
Futures
活动图片