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2025 Predictions: Navigating Tech Innovation and Investment Opportunities

20 January, 2025

As we step into 2025, the rapid evolution of technology continues to reshape industries, redefine societal norms, and present opportunities for investors. From the transformative potential of artificial intelligence to the escalating importance of cybersecurity, technology trends are not just themes, but reshape our very lives. At TempoCap, we’re constantly monitoring the intersection of technological breakthroughs and market dynamics to identify where the future is headed. Here, we share our predictions for 2025, focusing on pivotal areas such as AI, cybersecurity, climate tech, and the broader investment landscape. These insights are informed by decades of market observation, collaborating with founders, and analysing shifts in the global economy.

 

Andreas Wucher – TempoCap Operating Partner

AI and Cyber Defence

AI is fundamentally changing the cybersecurity landscape, creating both new threats and defensive capabilities. Criminal networks are increasingly deploying AI to develop sophisticated phishing campaigns that can mimic legitimate communications with unprecedented accuracy. These systems can analyse patterns in user behaviour to create highly convincing targeted attacks. Simultaneously, automated malware is becoming more adaptive, learning from defence mechanisms to create new attack vectors. This evolution in threat capability requires a corresponding advancement in protective measures. Organisations are implementing AI-enhanced security systems that can predict and respond to threats in real-time. However, the human element remains crucial. Organisations need to prioritise educating their workforce about AI-generated content, including deepfakes and synthetic media. This includes developing practical guidelines for verifying digital communications and establishing clear protocols for handling AI-generated content in professional settings.

The Quantum Computing Challenge

The advancement of quantum computing technology presents a fundamental challenge to current encryption methods. Traditional cryptographic algorithms, which form the backbone of today’s digital security, could become vulnerable to quantum-enabled decryption. This development requires organisations to begin a systematic transition towards quantum-resistant encryption protocols. The process involves identifying critical data assets, understanding their current protection mechanisms, and developing a staged approach to implementing quantum-safe algorithms. Organisations need to conduct thorough assessments of their cryptographic infrastructures, including both internal systems and external communications. This includes evaluating the encryption methods used in data storage, transmission, and authentication processes. The transition requires significant planning, as organisations must maintain compatibility with existing systems while gradually introducing quantum-resistant alternatives. Early preparation is essential, as the retrospective protection of sensitive data against quantum decryption may prove impossible once quantum computing capabilities mature.

State-Level Cyber Operations

The landscape of state-sponsored cyber operations continues to evolve, as demonstrated by recent incidents such as the disruption to sea cables between Central Europe and the Nordic regions. These operations extend beyond traditional espionage to include infrastructure targeting, economic disruption, and information warfare. State actors are developing increasingly sophisticated tools and techniques, often combining multiple attack vectors to achieve their objectives. The impact of these operations affects both public and private sectors, requiring a coordinated response strategy. Organisations need to develop robust defence mechanisms that account for state-level capabilities, including advanced persistent threats (APTs) and zero-day exploits. This necessitates enhanced threat intelligence sharing between nations and sectors, alongside the development of international frameworks for cyber cooperation. Critical infrastructure providers, in particular, must implement additional security layers and maintain continuous monitoring systems to protect against state-sponsored attacks.

Changes in Compliance Requirements

The regulatory landscape for cybersecurity continues to evolve in response to emerging threats and changing technology. Organisations face increasingly complex compliance requirements across different jurisdictions, each with specific standards for data protection, breach notification, and security controls. These regulations often require organisations to implement comprehensive security frameworks that encompass technical controls, policy documentation, and regular auditing processes. Compliance teams need to stay informed about regulatory changes while maintaining effective communication with technical teams to ensure security measures meet current standards. This includes developing robust incident response plans, maintaining detailed security documentation, and conducting regular compliance assessments. Organisations must also consider the international aspect of data protection regulations, particularly when operating across multiple jurisdictions. The cost of non-compliance extends beyond financial penalties to include reputational damage and potential loss of business opportunities.

Supply Chain Security

Supply chain cybersecurity has become a critical concern as organisations increasingly rely on interconnected networks of suppliers and service providers. Each connection in the supply chain represents a potential vulnerability that attackers can exploit to access larger networks. Organisations need to implement comprehensive security assessments of their entire supply network, including both direct suppliers and sub-contractors. This involves developing detailed vendor security requirements, conducting regular security audits, and maintaining continuous monitoring of supply chain activities. Effective supply chain security requires clear communication channels between all parties involved, established incident response procedures, and regular testing of security controls. Organisations should also consider implementing zero-trust architectures that verify every transaction, regardless of its source within the supply chain. This approach helps maintain security even when individual components of the supply chain are compromised.

Skills Gap in Cyber Security

The cybersecurity sector continues to face a significant shortage of qualified professionals, creating challenges for organisations seeking to maintain robust security postures. This skills gap spans multiple areas, including threat analysis, security architecture, and incident response. Organisations need to develop comprehensive strategies to address this shortage, including creating internal training programmes and career development pathways. This involves identifying key skill requirements, developing structured learning programmes, and providing practical experience through mentoring and hands-on projects. Organisations should also consider partnerships with educational institutions and professional bodies to develop talent pipelines. Additionally, the implementation of automation and security orchestration can help maximise the effectiveness of existing security teams. Retaining skilled professionals requires competitive compensation packages and clear career progression opportunities, alongside maintaining an engaging work environment that encourages continuous learning and development.

 

Marie-Sophie Ausch – TempoCap Analyst

The evolution of AI in Venture Capital and investment decision making

By 2025, AI will fundamentally transform the VC landscape by optimizing deal sourcing, evaluation, and decision-making. Advanced platforms like EQT’s Motherbrain and Signalfire’s Beacon AI are already leading the way, analysing unconventional data sources such as social media signals, web traffic, and app usage metrics to identify high-potential startups. Firms will increasingly build proprietary AI systems, hiring in-house developers to customize tools that streamline operations like deal tracking, founder assessment, and financial modelling. These innovations will improve efficiency, enabling firms to evaluate more startups in less time while relying on predictive analytics to anticipate growth trajectories and assess risks. AI will also enhance decision-making by reducing bias and automating parts of due diligence, but human judgment will remain indispensable for qualitative factors such as founder vision and team dynamics. Ethical challenges, including data transparency, algorithmic bias, and regulatory compliance, will demand robust oversight and continual refinement of AI models. As VCs adopt these technologies, AI will drive a shift toward data-driven decision-making, fostering greater efficiency, inclusivity, and reach in the global investment ecosystem.

2025 predictions for Climate Technology

Climate tech is a constantly evolving field, defined by groundbreaking advancements, and I’m particularly thrilled by the transformative potential of how generative AI intersects with clean energy. By 2025, the interplay between generative AI and climate tech will redefine energy innovation. AI’s surging energy demand is a double-edged sword: a challenge for grid infrastructure but a catalyst for advancing clean energy. In the US alone, AI data centres are projected to add the equivalent of three New York Cities’ worth of load to the grid by 2026. Globally, data centre electricity consumption is expected to double to 4% of total demand by 2030, necessitating reliable, high-density power.

Historically, deploying novel clean energy technologies relied on slow-moving utilities, but large tech companies are now stepping in as critical buyers. Google’s partnership with geothermal developer Fervo and Nevada utility NV Energy is a prime example, securing clean, reliable power at a premium for its data centres. These investments are fast-tracking the adoption of advanced nuclear fission, next-generation geothermal, and, eventually, fusion energy – solutions capable of providing stable, concentrated power tailored to AI’s 24/7 operations.

Beyond hardware advancements, software innovations are transforming the sector. AI-driven platforms optimizing energy usage, predicting plant performance, and accelerating R&D, among other capabilities, present a promising opportunity for software investors to back winners in this space.

 

Pierre Suhrcke – TempoCap Venture Partner

Crypto and Blockchain Adoption

In 2025, blockchain will become the new backbone of the internet and the foundation for storing value. Stablecoins will revolutionise payment systems, driven by supportive government policies and enthusiastic advisors. The impact will be far-reaching, with stablecoins enabling faster and cheaper transactions, addressing the shortcomings of current credit card systems. A seamless and cost-effective payment ecosystem will accelerate the adoption of digital economies in e-commerce and global trade.

Office of CFO Applications

In the coming years, the automation of manual processes and real-time financial insights will transform the role of the CFO. This shift will bring significant changes, such as streamlined accounts receivable and payable processes and real-time access to data on cash flows, risk positions, and liquidity management. These advancements will empower CFOs to make informed decisions and optimise their organisations’ financial performance.

AI in Software and Services

In 2025, AI will redefine the capabilities of software and enhance the efficiency of service providers. The impact will be twofold: low-margin businesses in the service sector will experience improved scalability and profitability through AI-driven optimisations, and the enhanced capabilities of AI-powered software will drive increased adoption across various industries, sparking innovation and productivity gains.

 

Olav Ostin, TempoCap Managing Partner

In summary:

Future trends in the tech sector and wider economic landscape

We are closely monitoring key trends shaping the technology and economic landscape. AI is central to this, with its potential to reduce costs through improving efficiency and driving new revenue streams. In cybersecurity, we are exploring emerging areas such as securing cryptocurrency transactions, reflecting the maturing crypto market, as well as cybersecurity linked to new threats deriving from AI agents. Meanwhile, fintech innovations targeting the CFO’s office represent exciting opportunities for growth and we are also considering a major push into the sustainability and climate tech sector in 2025-2026. From an economic perspective, we are anticipating a reopening of the IPO market in 2025, which could kick off a wave of liquidity for tech companies. We are also tracking developments like the UK’s Private Intermittent Securities and Capital Exchange System (PISCES) scheme, which could provide late-stage businesses with an alternative path to public markets.

The secondary market and CVC space

CVCs will be looking for liquidity options, even if they don’t immediately execute deals, driven by a reassessment of valuations from the 2021 peak. In the broader VC landscape, there will be challenges as firms struggle with fundraising or adjust to raising smaller amounts of capital than anticipated. A third of VC firms will downsize and reduce their teams (rather than shutting down completely) and will become zombie VCs. These changes are bound to drive increased activity in the secondary market as firms seek alternative ways to generate liquidity and returns.  The DPI is the new IRR as they say.

VC market outlook

The venture capital market is likely to encounter both huge opportunities and risks in 2025. We anticipate major winners in sectors like AI, cyber, fintech and robotics, while certain enterprise software businesses could face existential challenges due to advancements in AI. Overcapitalised companies from 2021 with unsustainable business models are likely to struggle, contributing to a much-needed market correction where investment has significantly outpaced exits. Despite these challenges, we see this as a step toward a more sustainable tech ecosystem with high-quality businesses driving long-term success.

Looking ahead, 2025 will be a key turning point for autonomous vehicles and the beginning of widespread adoption of AI.  In AI it will the year that separates the men from the boys with many me-too companies claiming to be AI (but simply using OpenAI) failing while the real winners (like xAI, Elon Musk’s AI company or the ones that have developed a unique software platform over foundation model AI or unique AI agents) will be marching forward. A tale of two cities in AI in 2025. In our sectors of Cybersecurity, Fintech and Enterprise software, we will significant cost cutting with AI but also start seeing revenue regeneration with AI and we anticipate seeing growth in the MSSPs cyber market.

As investors, our role is not just to predict the future but to help build it – empowering visionary founders and catalysing sustainable growth. Opportunities within AI, cybersecurity, climate tech, and adjacent industries are transformative and essential for shaping the next chapter of global innovation. At TempoCap, we’re committed to navigating this dynamic landscape with agility, with a steadfast belief in the power of technology to drive meaningful change.

TempoCap is a signatory to the United Nations-supported Principles for Responsible Investment (PRI).

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