Over the past five years, businesses in the US, UK, and EU have made significant investments in software training and adoption to support digital transformation. Organizations have realized that implementing new software is not enough; employees must be adequately trained to maximize its value. Cloud computing, artificial intelligence (AI), cybersecurity, collaboration tools, and automation have emerged as the leading software categories receiving the highest levels of investment. However, challenges related to adoption, workforce upskilling, and change management have frequently hindered organizations from realizing the full return on their technology investments.

Research confirms the scale of this challenge: 91% of business leaders say at least one software investment has failed outright, and 84% of employees struggle with software at least some of the time.

Looking forward to the next five years, businesses will continue refining their digital strategies, emphasizing seamless adoption and usability. This article explores historical investment trends, outlines the challenges faced, and highlights how Userlane can help businesses close the distance between software investment and effective user adoption.

The Past Five Years: Software Categories That Led Training and Adoption Investment

Organizations across industries have poured resources into training their workforce on software that underpins digital transformation. The most heavily invested categories include:

1. Cloud Computing & SaaS Platforms

Cloud adoption has been nearly universal, with over 90% of organizations leveraging cloud technologies by 2023. The US, UK, and EU have all prioritized cloud-first strategies, leading to a surge in multi-cloud and hybrid-cloud environments. However, a consistent challenge has been the complexity of cloud architectures and the need to upskill IT teams and business users to manage cloud-based workflows effectively.

Key challenges:

  • Ensuring IT and non-IT employees understand cloud services and security best practices.
  • Navigating multi-cloud and hybrid-cloud infrastructures.
  • Training on evolving compliance regulations (e.g., GDPR, data sovereignty laws).

2. Data Analytics & AI

By 2024, AI and data analytics have reached mainstream adoption, with over two-thirds of companies actively integrating AI into their operations. Organizations have invested in AI-driven business intelligence, predictive analytics, and generative AI tools. However, despite widespread investment, only 1% of business leaders feel their organizations are “fully mature” in AI usage.

Key challenges:

  • Lack of AI literacy among employees, requiring extensive training.
  • Difficulty integrating AI into existing workflows.
  • Resistance from employees unfamiliar with automation-enhanced decision-making.

3. Cybersecurity and Compliance Software

With cyber threats escalating and compliance requirements tightening (e.g., GDPR, NIS2 in the EU), companies have continued increasing cybersecurity spending. Despite investing in robust security software, companies struggle with internal security awareness training and keeping up with evolving threats.

Key challenges:

  • Employees remain the biggest cybersecurity risk due to lack of proper training.
  • Rapidly evolving threat landscapes require continuous learning.
  • Many security platforms are underutilized due to complex user interfaces.

4. Collaboration and Remote Work Tools

The pandemic-driven shift to remote work led to record-high investment in collaboration tools like Microsoft Teams, Zoom, Slack, and Google Workspace. By 2021, daily Zoom participants surged from 10 million to 300 million, highlighting the rapid adoption of digital collaboration platforms. However, as hybrid work models became permanent, businesses faced ongoing usability challenges.

Key challenges:

  • Employees struggling with feature overload and poor onboarding experiences.
  • Fragmented tool usage leading to inefficient workflows.
  • Adoption barriers for non-digital-native employees.

5. Automation and Process Improvement Software

Organizations have increasingly embraced robotic process automation (RPA), low-code platforms, and workflow automation software to enhance efficiency. Adoption of these technologies has risen significantly, but businesses have struggled with training employees to work effectively alongside automation.

Key challenges:

  • Lack of understanding of how to use automation for maximum impact.
  • Resistance from employees fearing job displacement.
  • Difficulty training non-technical staff on automation platforms.

The Next Five Years: How Software Investment and Training Will Evolve

The next five years will see a refinement of digital transformation strategies. While the focus on AI, cloud, security, and automation will remain strong, the way organizations approach training and adoption will fundamentally shift.

Key trends shaping the future:

  • AI and Automation Will Become Core to Software Training – Companies will integrate AI-driven training tools to offer personalized learning experiences for employees.
  • Usability and Adoption Will Take Center Stage – Simply purchasing software will no longer be enough. Companies will focus on measuring adoption rates and usability improvements.
  • Software Adoption Solutions Will Become Essential – Rather than relying on traditional training programs, companies will use adoption solutions that deliver real-time guidance within software applications.
  • Cybersecurity Training Will Become a Daily Practice – Organizations will embed security awareness training into daily workflows to mitigate human error risks.
  • Data Literacy Will Be a Core Competency – Employees will be expected to understand and use data analytics, making continuous upskilling a necessity.

Addressing Adoption Shortfalls with Userlane

Despite significant investment in software training — with average US companies spending $1,300 per employee per year on training alone — many companies still struggle to achieve meaningful adoption. Employees are often overwhelmed by complicated interfaces, frequent software updates, and lack of intuitive guidance. Traditional training methods (classroom sessions, webinars, manuals) are inefficient and quickly outdated — research shows 70% of new information is forgotten within 24 hours if not reinforced. This is where Userlane can help.

How Userlane solves software adoption challenges:

  • Application Intelligence and Contextual Assistance: Userlane’s two-pillar approach first identifies where software creates friction and cost through HEART Analytics and App Discovery, then delivers targeted in-app help through the Userlane Assistant, interactive guidance, and workflow automation — ensuring organizations measure, improve, and re-measure continuously.
  • Accelerated Onboarding & Training: New employees can become proficient in software without traditional classroom training, reducing time-to-productivity. Deutsche Bahn achieved 97% more efficient training and a 50% reduction in time-to-proficiency across 300,000+ employees.
  • Seamless Adoption Across Complex Enterprise Environments: Whether it’s AI tools, cloud applications, or compliance-critical systems, Userlane helps ensure smooth and consistent adoption. BayernLB achieved 87% user adoption of MS Dynamics 365 across 1,200 employees.
  • Reduced Support Costs: Organizations spend significant resources on IT support for software-related questions. With the Userlane Assistant, users receive instant help, reducing dependency on IT teams. UHL NHS Trust reduced support tickets by 80% across 22,000 staff, while Linde Engineering achieved a 48% support ticket reduction.
  • Continuous Improvement: Software evolves rapidly. Userlane’s measure–improve–re-measure loop means organizations can track the impact of every change through HEART Analytics and continuously optimize their approach to adoption.

Conclusion

The past five years have seen record investment in software training and adoption, yet many businesses still struggle to achieve full adoption. As we move into the next era of digital transformation, companies must shift from one-time training models to continuous, real-time learning experiences.

With Userlane, businesses can finally close the gap between software investment and effective workforce adoption, ensuring that employees not only have access to enterprise software but also know how to use it efficiently. By combining application intelligence with contextual in-app assistance, organizations can reduce training time, improve productivity, and maximize software ROI.

As businesses prepare for the next five years of transformation, investing in user adoption will be just as critical as investing in the software itself.