What is digital transformation?

Definition

Digital transformation is the process of reorienting your organisation to operate effectively in a digital economy, integrating new technologies across every area of your business. When executed well, it enables your organisation to deliver enhanced customer experiences. As digital technologies continue to evolve, so too must your business. Digital transformation should therefore remain a strategic priority as you develop and refine your overall business strategy.

Key takeaways

• Digital transformation enables organisations to operate more effectively and deliver improved customer experiences.
• Maintain a consistent focus on digital transformation efforts as you develop your business strategy.
• Digital transformation involves making changes in three main areas – people, processes, and technology.
• The most important elements of a digital transformation strategy are selecting the right tools and maintaining clear communication across your organisation.

In this guide:

• What is digital transformation?
• Why is digital transformation important?
• How has the approach to digital transformation changed?
• What are some digital transformation strategies?
• Current digital transformation trends.
• Which businesses need digital transformation?
• What are some common challenges with digital transformation?
• What are the benefits of digital transformation?
• How will digital transformation evolve in the future?

Consumers now manage their finances, make purchases, and communicate almost entirely through digital channels. Digital transformation is about meeting your customers where they are and delivering the best possible user experience.

Internally, digital transformation can strengthen your organisation as you introduce new workflows and digital innovations. Digital disruption can act as the catalyst for extracting greater value from your people and your production processes.

In the early days of the digital age, digital transformation efforts centred primarily on getting a business online, with few organisations having a clear strategy in place. As organisations grew more digitally mature, the focus shifted to reorienting the entire company – including people, processes, and technology – to better serve the customer. Businesses were no longer simply trying to get online and spam potential customers. Instead, they sought to understand what people were doing online and why.

Across all areas of digital transformation, marketers should consider carefully how they engage with customers and what kinds of experiences they deliver at each stage of the customer journey.

Begin by ensuring you recruit talent with the right skill sets – people who know how to gather and act on business intelligence and are well-versed in digital business. Where needed, you can also retrain existing team members. Provide training and development opportunities on a regular schedule, as well as in real time as new products and situations arise.

Next, turn your attention to your technology. Before digital transformation initiatives took hold, many organisations resorted to purchasing updated versions of legacy technology. Today, established businesses are re-platforming – selecting a single digital platform vendor and deploying that technology consistently across the organisation. Digital tools such as customer data platforms (CDPs) are essential to delivering the core elements of the user experience, including personalisation at scale throughout the customer journey.

With the right technology in place, your organisation can examine its processes more closely. Identify opportunities to streamline workflows that support automation and digitalisation.

The latest digital transformation trends encompass generative artificial intelligence (AI) and machine learning (ML), large language models driving automation, and cybersecurity’s shifting priorities.

1. Advances in generative AI and large language model capacity.

According to a McKinsey Global Survey, 65% of respondents in 2024 reported that their organisations regularly use generative AI in at least one business function – up from 33% in 2023. Looking ahead to 2025, managing the risks associated with generative AI tools, including AI bias and misinformation, will be a key priority.

McKinsey & Company has highlighted the following developments in the generative AI landscape:

• Increased use of multimodal generative models – AI tools that combine text, images, sound, and video to generate comprehensive outputs for businesses across industries
• Open-source AI models growing in popularity
• Natural language processing (NLP) broadening the range of accepted prompts
• Google rolling out Gemini, which offers several functions, including Deep Research for in-depth content research, 2.0 Flash for delivering quick answers, and personalisation, which uses search history to understand user interests

Additionally, machine learning is a component of artificial intelligence that enables machines to learn automatically from past data, identifying and predicting patterns. Machine learning utilises algorithms to generate descriptive, predictive, and prescriptive insights.

2. Large language models (LLMs) enhance automation.

Teams are frequently held back by time spent on low-effort tasks – managing vendor invoices, searching for information, or recreating documentation. Large language models are increasingly being integrated into enterprise tools, creating opportunities for task automation.

Large language models are designed to understand and generate text in a manner comparable to human communication. They require substantial training to ensure adherence to brand guidelines and to eliminate information bias. LLMs can infer and provide contextually relevant responses, translations, and written content based on the context, resources, and guidelines provided by humans.

Large language models can help automate:

• Text generation
• Content summaries
• Serving customers through chatbots
• Code generation
• Translation of text into different languages

3. Cybersecurity’s shifting priorities.

Technological innovation is changing the focus of cybersecurity. In 2025, generative AI, machine learning, natural language processing, and large language models are driving businesses to formalise their standards for minimising cybersecurity risks.

Cloud adoption has altered the composition of digital ecosystems and reshaped user needs. Cloud-based subscription services now make all products and services accessible through a single platform, centralising information for organisations.

Data localisation is the requirement for all data to be stored, processed, and managed within the geographical boundaries of a specific country. In some cases, this means companies must maintain data centres in every region where they operate. A US data localisation law is currently being developed that would prohibit certain data brokerage transactions with countries of concern.

Multi-factor authentication is increasingly adopted by organisations to reduce the risk of malware or ransomware accessing company or customer data. Virtual private networks have also become more widespread, protecting individual users’ IP addresses and virtual locations.

Every organisation has something to gain from digital transformation. Whether a small start-up or a large healthcare provider, an ecommerce retailer or a supply chain business – a well-executed digital transformation delivers real benefits across every sector.

Clear communication across your organisation is the cornerstone of any effective digital transformation strategy. Every part of the business needs to understand what digital transformation means – for the company as a whole, for individual business units, specific teams, and each employee. Alignment around a shared goal is essential. Miscommunication or a lack of buy-in between teams can quickly derail the initiative.

Investing in digital technologies can present a financial challenge for some organisations. However, digital transformation is a business strategy that consistently delivers a strong return on investment.

Certain industries, such as the financial sector, must also account for sector-specific regulations when introducing new business models and digital tools.

When an organisation invests in digital transformation, customers benefit from more relevant and personalised user experiences. Employees work more efficiently and creatively, as automation removes the burden of the more manual aspects of marketing. When businesses move their workflows from paper to digital files, they also become more sustainable.

Organisations that have achieved maturity in automation, digital technologies, and data analytics will be well placed to focus on digital citizenship – the responsible use of digital technology. Ethical priorities such as privacy, security, sustainability, and digital accessibility will become central to organisational strategy. As outstanding user experiences become the expected standard, customers will increasingly seek to support companies that share their values. This will lead organisations to invest in digital innovations that help them build and sustain customer trust.

Empower your business for digital transformation with Adobe Experience Cloud

Digital transformation is no longer optional – it is essential for businesses to remain competitive in a fast-paced, customer-centric market. By drawing on Adobe’s advanced tools and technologies, organisations can optimise processes, deliver outstanding customer experiences, and drive meaningful growth.

Adobe Experience Manager supports the launch and modernisation of websites, as well as the management of digital assets. Adobe Analytics enables you to measure the effectiveness of your user experience strategies. Adobe Campaign empowers marketers to analyse data, understand customer behaviour, and deliver personalised experiences at scale. Adobe Real-Time Customer Data Platform (CDP) enables marketers to build customer profiles and track how individual customers engage with touchpoints across various platforms.