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The digital revolution has reached the halls of government, but citizens tapping through clunky interfaces and fragmented services tell a sobering story: the public sector still lags years behind commercial innovation. 

Despite weathering recent global disruptions, government agencies face a widening expectations gap as citizens increasingly compare their digital interactions with government to the seamless experiences offered by leading tech companies. The stakes are high – and government leaders know it. With 85% of public sector decision-makers prioritising emerging technologies, 2025 promises to be a watershed year as agencies race to close the digital divide between public services and private sector excellence.

With government IT spending in Australia projected to increase by 9.3% year-on-year, the public sector is poised for a new wave of digital transformation. This momentum is driven by the need to modernise legacy systems, improve service delivery and enhance cybersecurity amid evolving threats.

1. IT modernisation and regulatory sandboxes

IT modernisation focuses on upgrading outdated systems to better support digital services. Governments are increasingly adopting cloud-based platforms for greater scalability, efficiency and flexibility. This shift helps reduce costs and improves data sharing between agencies, but it also requires strengthening cybersecurity measures to protect sensitive data​.

Regulatory sandboxes are becoming a key tool for governments to support innovation while managing risk. They allow businesses to test new technologies—such as AI, blockchain, or digital identity systems—within a controlled environment, enabling regulators to monitor impacts before broad implementation. This fosters experimentation without compromising safety or security​.

2. Adaptive security architecture

As cyberattacks grow in scale and complexity, governments are adopting adaptive security architecture to proactively address evolving threats. Unlike traditional perimeter-based security models, this approach continuously monitors and responds to risks in real-time.

The federal government’s commitment to cybersecurity is underscored by a $143.6 million investment in strengthening critical infrastructure and sensitive citizen data as government services migrate to the cloud.

3. Increased adoption of XaaS and hybrid cloud models

Gartner predicts that by 2025, 95% of new government IT investments will use a cloud-based XaaS model. This shift allows agencies to reduce costs, increase flexibility and improve service delivery without the need for extensive on-premises infrastructure. For example, government agencies may implement a managed print service (MPS) solution to optimise their print environment for maximum productivity and low costs.

However, security and compliance remain key concerns, especially in sectors handling sensitive information. To address these challenges, many governments are exploring hybrid cloud models that combine the scalability of cloud services with the control of on-premises systems. This approach ensures that critical data and services remain secure and reliable while enabling agencies to take advantage of cloud-enabled innovations.

4. Enhanced data sharing

Data has become a critical asset for governments aiming to improve service delivery and policy-making. In 2025, we expect to see a continued emphasis on enhanced data sharing across agencies. 

Key initiatives include:

  • Establishing specialised data practices for inter-agency collaboration.
  • Adopting FAIR (Findable, Accessible, Interoperable, Reusable) data principles to enhance data usability.
  • Standardising data governance frameworks to ensure quality, security and interoperability.

According to Gartner, 60% of government AI and data analytics investments will directly impact real-time operational decisions, enabling more responsive and evidence-based governance.

5. Operational analytics and AI-driven decision intelligence

Operational analytics and AI-driven decision intelligence are becoming integral to government operations. Operational analytics refers to the strategic and systematic adoption of data-driven technologies, such as artificial intelligence (AI), machine learning and advanced analytics, at each stage of government activity. These technologies enable agencies to leverage real-time and historical data for strategic planning, crisis response and service optimisation. The growing adoption of low-code platforms is enabling this further by allowing non-technical staff to develop and deploy applications that improve service delivery and operational efficiency.

That is why we expect to see the rise of operational analytics, allowing governments to build foresight by applying predictive analytics and conducting simulation exercises to anticipate challenges before they occur. For example, government offices could use AI-powered scheduling tools to forecast peak times for citizen services, such as passport applications or permit requests. This insight would enable them to allocate staff more efficiently, reduce wait times, and improve the overall citizen experience.

However, the rise of open-source AI introduces security risks. While open-source solutions offer flexibility and cost savings, they may lack robust security protocols, exposing sensitive government data to vulnerabilities.

To adopt these technologies securely, governments must:

  • Conduct thorough security assessments of AI and analytics tools.
  • Implement strong data governance frameworks.
  • Adopt a zero-trust approach to verify users and systems continuously.
  • Partner with trusted technology providers to customise and secure open-source solutions.

How to address talent shortages and workforce challenges

While governments have ambitious digital transformation goals, talent shortages and capability restrictions create bottlenecks. Two-thirds of government executives report having innovative ideas for digital transformation but lacking the workforce talent to execute them.

To address this challenge, governments are investing in upskilling programs and exploring partnerships with private sector organisations. By fostering a skilled, tech-savvy workforce, governments can accelerate their digital transformation efforts and ensure the successful implementation of new technologies.

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