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AI Investments Surge 62% to $110B in 2024, While Startup Funding Falls 12%

Artificial intelligence has taken the investment world by storm, with venture capitalists flocking to fund AI-driven startups at unprecedented levels. In stark contrast, the broader tech landscape has seen a decline in funding, highlighting the increasing dominance of AI in the venture capital sphere.

Key Facts

  • AI startups raised an astonishing $110 billion in 2024, marking a 62% surge compared to the previous year, according to new data from Dealroom.
  • Across all technology sectors, privately-backed companies—including startups and scale-ups—secured $227 billion in 2024. This figure represents a 12% drop from 2023, signaling a shift in investor focus.
  • Yoram Wijngaarde, Dealroom’s founder, highlighted that the current AI investment boom surpasses even the marketplace frenzy of the late 1990s and early 2000s in terms of scale and impact. “This is the biggest wave ever by absolute amounts invested,” he said. “There’s never been anything like it.”
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Why AI Is Leading The Charge 

The explosive growth in AI funding can be attributed to its vast, expanding ecosystem. From hardware and infrastructure to applications and foundational models, AI’s reach is broadening, attracting diverse areas of investment.

Notable AI funding rounds in 2024 reflect this diversity. Companies like Anthropic (large language models, generative AI), Waymo (self-driving tech), Anduril (defense), xAI (applications), Databricks (AI data management), and Vantage (data centers and infrastructure) dominated the top fundraising spots.

Despite its high profile, OpenAI did not lead in terms of funding raised last year. That honor went to Databricks, which secured $10 billion, surpassing OpenAI’s $6.6 billion. However, with over $20 billion in total funding to date, and another $40 billion reportedly in the pipeline, OpenAI remains a key industry player, notably due to its viral app, ChatGPT.

Generative AI And Foundational Models: The Key Drivers 

The surge in investment can largely be attributed to generative AI and foundational models—two of OpenAI’s core business areas. In 2024 alone, generative AI companies raised a remarkable $47.4 billion, and foundational AI technology continued to gain ground, overtaking AI applications in both growth and funding over the past two years.

Regional Disparities: The US Leads, Europe Lags 

The Dealroom report also sheds light on a regional imbalance in AI funding. In 2024, a staggering 42% of all U.S. venture capital ($80.7 billion) went to AI startups, while Europe received only 25% ($12.8 billion) and the rest of the world secured 18%. China emerged as a key player, investing $7.6 billion in AI startups.

“In Europe, we have a bit of an innovators’ dilemma,” Wijngaarde explained. “We don’t want to replace what we have, which can lead to a less aggressive stance.”

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Open Source AI: A Modest Growth Story 

Another emerging trend in AI investment is the rise of open-source AI projects. While startups building open-source AI raised 12% of total AI venture capital last year, the potential for this sector to expand remains significant, according to Dealroom. However, defining what qualifies as “open-source” is still a gray area. For instance, xAI’s Grok-2, though not open-source, would push the open-source percentage to 22% if included.

The emergence of alternatives like DeepSeek, which built an OpenAI rival for just $50, hints at a potential shift toward more cost-effective, open-source solutions.

Top VC Firms: Leading The Charge 

The most active venture capital firm in AI investment last year was Antler, followed by heavyweights like a16z, General Catalyst, Sequoia, and Khosla Ventures.

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Looking Ahead: What’s Next For AI In 2025? 

As we move into 2025, the question remains: How will this AI funding boom evolve? Will the open-source movement gain more traction, or will the dominance of large language models and foundational models continue to attract the bulk of investment? With AI infrastructure still costly to build and operate, it’s clear that the landscape will keep evolving in exciting ways.

What’s certain is that AI remains a central pillar of innovation and investment, shaping the future of technology and business across the globe.

CSE Reports March Market Shares As Argus Tops With 30.83%

Overview

Cyprus Stock Exchange (CSE) reported €31.50 million in share transactions for March 2026, including €11.24 million in pre-agreed trades. Data also cover the first quarter, with total transactions reaching €86.06 million across January to March.

Detailed Market Analysis

CSE provides market share calculations both including and excluding pre-agreed transactions. March figures incorporate these trades, while separate data sets highlight activity without them. Such differentiation reflects varying trading dynamics and offers a clearer view of market structure. Bond values are excluded from percentage calculations.

Quarterly Performance Metrics

Figures for the January–March period show how market shares shift depending on the calculation methodology. Year-to-date data provide a broader perspective on member activity across the exchange. Inclusion or exclusion of pre-agreed transactions affects comparative positioning. These metrics are used to assess overall performance trends.

Key Participant Performance

Argus Stockbrokers Ltd recorded a 30.83% market share in March, with transactions totaling €9.71 million, placing it first for the month. CISCO Ltd held a 24.54% share in March and ranked first for the quarter with 26.19%. Mega Equity Financial Services Ltd followed with 18.31% in March and 24.08% across the quarter. Additional participants included Eurobank EFG Equities with 8.04% and Atlantic Securities Ltd with 7.46%, contributing to overall market activity.

Aggregate Trading Volumes

Pre-agreed transactions accounted for €11.24 million of March’s total turnover. Overall trading value reached €86.06 million for the first quarter. These figures reflect both negotiated and regular market activity, providing a fuller picture of trading volumes.

Conclusion

CSE data outline the distribution of market shares and transaction volumes across members. Distinctions between pre-agreed and regular trades highlight differences in activity patterns. Reported figures provide a basis for evaluating market structure and participant performance.

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