Cybersecurity threats continue to increase. According to ENISA’s 2023 Threat Landscape report, there were around 2,580 observed incidents in the EU between July 2022 and June 2023. In the previous reporting period, there were less than 800. ENISA reported that 19% of events targeted public administrations, by far the largest industry.

Government chief information security officers (CISOs) are not resting on their laurels. They understand that cybersecurity is important.

IDC’s EMEA Cross-Industry Acceleration Survey, conducted in December 2023, found that 91% of government executives were planning to maintain or increase their level of spending in cybersecurity. In the many one-on-one conversations that IDC Government Insights analysts have had with government CIOs, CISOs, and other IT executives, cybersecurity always stands out as a “ring-fenced” item protected from budget cuts.

But given the rising volume, variety and velocity of threats, ring-fencing budgets is not enough — a change of paradigm is in order.

Paradigm Shift: From Protecting the Perimeter to National Survivability

The most forward-looking governments understand that the old mindset focused on protecting the individual government agency, or even the individual system or digital citizen service app, is insufficient. They understand that governments play a key role in national digital and physical services and infrastructure resilience and survivability.

To deliver on this higher purpose, government CISOs need to look beyond their organizational boundaries, take a whole life-cycle approach to cybersecurity, and provide knowledge to non-security experts to enable them to act responsibly.

Looking beyond organizational boundaries means collaborating across public administrations and the private sector to create a resilient ecosystem. Beyond the NIS2 Directive’s mandatory obligations — such as establishing at least one computer security incident response team (CSIRT) in each EU member country — resilience comes through the collective effort of cybersecurity specialists within ministries of defense, police forces, intelligence agencies, and all other public administrations.

In a recent IDC conversation with a regional government institution’s senior IT leader, it was emphasized how important it is for all levels of government to collaborate in the ecosystem to protect against the spike of attacks that usually occurs in the months prior to and during major events like the Olympics, the World Expo, the FIFA World Cup, or a G7 meeting. Participants should include transportation operators, payment and banking service providers, telcos, utilities, and travel and hospitality companies.

Taking a life-cycle approach to cybersecurity means caring for the hygiene of systems, protecting them and responding to events from development through termination. Hygiene starts with security by design, DevSecOps and application security best practices, and vetting hardware and software supply chain bills of material for security and compliance requirements.

Data hygiene is paramount — not only to comply with regulations that protect sensitive data, but also to increase the resilience and visibility of all data sets critical to government operations. Holistic protection requires enhancing the observability of the broader landscape.

CISOs should demand that their cybersecurity solution providers make available AI/ML solutions and AIOps practices that can increase the productivity of observability and detection.

Incident response must be grounded on governance processes and structures that enable timeliness and coordination. Throughout the life cycle, government CISOs should regularly upgrade their team’s skills, not only traditional cybersecurity skills but also legal skills, AI ethics, bias testing, and prompt engineering.

Ensuring that security and non-security experts have the right knowledge to act responsibly is a major people and organizational transformation effort. Investing in programs to raise the cybersecurity awareness of civil servants, other industries, and the general public is critical.

It is also important for CISOs to articulate the value of cybersecurity to the elected and appointed officials who make budget decisions. CISOs and their teams that are able to articulate the value of cybersecurity in terms of business risks will raise their profile internally and be recognized as strategic decision makers.

Technology developments will help CISOs accelerate the paradigm shift. In particular, the automation and orchestration of processes related to security and privacy will help address the skills gap and accelerate the detection of malicious behaviors, threat response, and remediation actions.

European government CIOs and CISOs that combine tool investments with a holistic approach to cybersecurity will boost the resilience of their organizations, of the communities they serve, and increase citizens’ trust in government. Those that focus on siloed system protection and legacy operating models and competencies will not be able to respond to threats and will be relegated to the role of gatekeepers who eventually lose influence and budget.

To learn more, explore the latest IDC research

Massimiliano Claps - Research Director - IDC

Massimiliano (Max) Claps is the research director for the Worldwide National Government Platforms and Technologies research in IDC's Government Insights practice. In this role, Max provides research and advisory services to technology suppliers and national civilian government senior leaders in the US and globally. Specific areas of research include improving government digital experiences, data and data sharing, AI and automation, cloud-enabled system modernization, the future of government work, and data protection and digital sovereignty to drive social, economic, and environmental outcomes for agencies and the public.

IDC’s annual CEE Summit was held in Vienna on June 9-11, with the theme of “Unlocking Performance Potential.” It highlighted the opportunities and challenges for organizations currently embracing AI.

Digital transformation continues to reshape industries and economies worldwide, and Central and Eastern Europe (CEE) is no exception. This vibrant region, with its technology hubs and innovative spirit, has the potential to become a key player in the global tech landscape.

In this blog post, we offer insights from industry experts on the pivotal factors driving this transformational change. From building IT spending transparency and making a compelling case for artificial intelligence to the critical roles of culture, change management, and sustainability, we explore how CEE can harness its full transformation potential. Moreover, we emphasize why cybersecurity remains a top priority in this rapidly evolving digital era.

Key insights include:

Making the Case for AI and Building IT Spend Transparency

AI use cases are widespread and growing, in industries including financial services, pharma, manufacturing, and more. However, IDC research shows that GenAI investments are putting increasing pressure on IT budgets.

For organizations with tight IT budgets, our advice is to build a transparent IT spending management capability that provides a financially sound platform on which to base investment decisions.  Avoid reliance on high-level benchmarks that provide no visibility on the organization’s future state. Mapping spending to clear cost pools and defined services provides great insights into spending and helps identify opportunities to cut costs and improve efficiency.

Culture and Change Management Are Key for Any Kind of Transformation

No matter the company size or sector, winning over hearts and minds is crucial for success. This is true whether the organization is consolidating its regional IT services delivery, looking to fully leverage the benefits of GenAI, or adopting SAP HANA across the business. 

Key elements in building a positive culture include solid backing from senior management, empowerment of teams to make their own decisions and fail fast, finding the right ambassadors of change, and rooting out toxicity.

Given all the different elements involved in change, organizations need to consider a change management function focused on the successful adoption of new tools, processes, and behaviors. This helps with communication, building transparency, and creating buy-in during periods that are often riddled with uncertainty.

Sustainability and Tech for Good

Sustainability and IT optimization are becoming critical in Europe and hot topics of discussion among IT users. Driven by the increasing number of European regulations and directives, sustainability is seen as a viable approach to stay competitive, enhance brand image, and boost customer trust. However, like IT optimization (or FinOps), sustainability can also help to streamline operations, reduce costs, and increase business value.

Cybersecurity Remains High on the Agenda

Cybersecurity remains a high priority for European executives, in particular with activities such as building resilience and business continuity, regulatory compliance and governance, and positioning security as a enabler.

Focus is increasing on cloud-native security capabilities, such as endpoint protection, threat intelligence, and application security. However, there are many industries where legacy infrastructure is widespread, resulting in security capabilities that must be adapted for cloud .

Recommendations

Many organizations are at the AI exploration stage, testing out use cases that often focus on productivity, such as chatbots and digital assistants with GenAI. For many organizations, the worry centers around the ROI gap and the real impact of AI on business.

However, real commercial differentiation with the use of AI can only be driven with function-specific (CFO, CMO, CHRO) use cases or industry-specific use , but those are more complex and investment-. Effectively, organizations are looking at the trade-off between ease of implementation vs. cost with less/more differentiation. Impacts from this investment can be achieved at all levels in the organization, but the level of impact will depending on the chosen trade-off.

We advise more holistic thinking: Organizations need a responsible AI strategy and prioritized use case roadmap with C-suite buy-in. Challenges such as AI pricing, governance, and organizational change must be considered. The broader ecosystem — including supply chain, tech vendors and other strategic partners — must also be considered. in mind, however, that GenAI or broader AI doesn’t offer a short cut to the holistic thinking noted above: you need to start with a data strategy.

IDC’s 2024 CEE Summit

Over three days, participants gathered to discuss technology opportunities and challenges from a distinctly CEE perspective. The Summit had wide representation from across the region, with participants from Czechia, Slovakia, Poland, Croatia, Serbia, Slovenia, Greece, Austria, Hungary, Romania, and Bosnia Hercegovina.

The location — in the historic town center of Vienna — evoked the Vienna Circle of the early 20th Century,  where discussions among mathematicians, scientists, and philosophers laid many of the logical foundations for the Information Age of the second half of the century.

One highlight of the event was an innovation challenge, where teams had to swiftly create and propose a GenAI-enabled initiative. This generated collaboration and many creative investment pitches, with the winner focusing on AI to improve predictive maintenance for electric vehicles.

As attendees departed Vienna, they did so with more than a fridge magnet and the strains of Mozart in their ears — they took with them new knowledge, new contacts, and the inspiration that comes from setting aside the daily routine long enough to exchange ideas with industry peers.

If you want to find out more about this and other events we host, please visit our website here.

Thomas Meyer - General Manager and Group Vice President, IDC EMEA - IDC

Thomas Meyer joined IDC in January 1999 and is currently responsible for managing IDC's Research Division in EMEA. This includes Practices focused on Digital Transformation, Cloud, Artificial Intelligence, IoT, Blockchain, Intelligent Process Automation and Accelerated Application Development as well as Core ICT (Software, Services, Infrastructure and Devices) and Industry-specific teams (Financial, Manufacturing, Energy, Retail, Healthcare, Government and Telco Insights)

The Hybrid Cloud Imperative

In today’s rapidly evolving digital landscape, the hybrid cloud has become an indispensable strategy for organizations aiming to maximize their IT investments. Our insights reveal that hybrid cloud is not just a trend but a critical component of modern IT infrastructure, blending the strengths of private and public clouds to foster efficiency, performance, and agility.

The complexity of implementing and operating such environments makes the role of managed service providers (MSPs) critical. These partners not only help smooth out the technical and operational challenges, but they also play a pivotal role in unlocking the true value of hybrid cloud investments.

As European organizations increasingly lean towards hybrid cloud solutions, understanding the importance of selecting the right MSP partner becomes paramount for achieving the desired business outcomes.

Overcoming Hybrid Cloud Hurdles with MSPs

Europe’s hybrid cloud landscape is experiencing a significant transformation, marked by rising investments and a clear growth trajectory. IDC’s 2023 EMEA Managed Cloud View Survey illustrates that, while hybrid cloud accounted for 31% of total IT budget in 2023, IT leaders expect a significant increase (up to 48%) of their total IT spending in Europe over the next two years.

The appeal of hybrid cloud in Europe is underscored by its compelling benefits. Organizations are drawn to the promise of enhanced cloud performance, streamlined backup and recovery processes, and more efficient cost management. These advantages position hybrid cloud as a cornerstone for building resilient, cost-effective, and optimized IT infrastructures.

However, the journey to harnessing these benefits is fraught with challenges. Skill shortages, particularly in cloud security and public cloud specific competencies, emerge as significant hurdles. The complexity of managing across diverse cloud environments adds another layer of difficulty, with operational visibility and governance among ongoing concerns.

As organizations progress in their cloud journey, they start to encounter more complex technical challenges, spanning security and data interoperability, as well as difficulties in meeting compliance and regulatory requirements.

To smooth out the edges of hybrid cloud adoption, many organizations are leaning towards managed service providers (MSPs). MSPs are pivotal for guiding customers to the right cloud types and orchestrating the ecosystem components to streamline operations, drive IT efficiency, improve agility, and increase business value.

Choosing the Ideal MSP for Hybrid Cloud Success

Understanding Your Unique Needs

When embarking on the hybrid cloud journey, understanding your organizational needs is paramount. Identify your objectives in the cloud landscape and the core IT challenges to these objectives. This clarity will guide you in selecting an MSP with the requisite cloud expertise, one that is capable of aligning the right cloud solutions with your specific workloads’ requirements.

The Crucial Role of Expertise

Expertise in various cloud environments is non-negotiable. An MSP must offer comprehensive services, from consulting to management, ensuring a seamless transition to the cloud. Their knowledge should span different cloud types, facilitating a match between cloud platforms and workloads that optimizes performance and cost.

Unified Management: A Must-Have

A unified management approach simplifies the oversight of diverse cloud environments, enhancing visibility, security, and compliance. Opt for MSPs that propose a platform-centric model for managing hybrid and multicloud scenarios. This model should streamline operations across your IT estate, fostering standardization and operational efficiency.

Empowering Your Hybrid Cloud Journey

In conclusion, the journey to mastering hybrid cloud in Europe hinges on the strategic selection of an MSP that aligns with your organization’s unique needs and goals. This journey, while complex, is made significantly smoother and more rewarding with the right partner by your side. As we’ve explored, the right MSP partner is not just a vendor but a pivotal collaborator in unlocking the full potential of hybrid cloud-enhancing efficiency, agility, and security across your IT operations.

If you want to learn more, please refer to this IDC document: Managing Hybrid Cloud: Considerations for European IT Buyers when Selecting Managed Service Providers

Francesca Ciarletta - Research Manager, European Services - IDC

Francesca Ciarletta's research covers how European organizations use managed cloud services on the infrastructure (IaaS), platform (PaaS), and software (SaaS) layers to be successful with their cloud journeys. How do managed cloud service providers ensure that customers reach their business outcomes from cloud? What are customer's expectations of their managed cloud services providers at each step of the journey? What is the role of managed cloud service providers in the broader cloud ecosystem? Which cloud provider ecosystems should they prioritize? Consequently, Ciarletta also covers the evolution of IT services towards cloud-based models, with a particular focus on managed cloud services. Her research analyzes market dynamics, challenges, and opportunities for IT service providers as they embrace digital-first delivery models.

Often, I hear that the business communications market will witness more consolidation because it’s overcrowded, meaning some vendors will either exit by divesting their operations or merge with another. There is some weight to this speculation, but by leveraging AI, vendors can reinforce their positions in the market.

When I say “leveraging AI,” I don’t mean just adding new features, but also overcoming some of the hurdles that are holding back end-user adoption. To make their AI strategies a success, it is necessary for vendors to understand and address these challenges.

Key Challenges for Businesses Trying to Gain the Full Value of AI

  1. Data silos are inhibiting AI’s full potential.

Our data reveals that businesses are at different stages of their AI journey, and the majority are still exploring, trying to determine use cases and how to extract value. Actual adoption will be determined by AI efficacy, which depends on backend data and AI training.

One challenge that limits the full value of AI is data being locked in disparate sources. Businesses often use separate systems for customer databases and CRM and utilize multiple communication and collaboration channels, creating data silos that hinder AI’s comprehensive system view.

Furthermore, these systems have different deployments, some on-premises and others in the cloud, making silos even harder to overcome.

Aggregating the different data sources, cleaning and structuring data, and training AI are the first steps in developing AI efficacy. Businesses need a connected IT stack, but this begs questions such as: Should solutions come from a single vendor who can provide a unified system in a common environment or a provider who is able to integrate different systems into a unified stream of data flow?

Many businesses are not able to adopt a unified solution from a single provider, because their investments are locked into existing IT systems and workflows. Even if systems are at the end of life, migration may not be an option due to the deep integration of workflows and strong relationships which the businesses may share with their existing providers.

Our data shows that businesses have concerns about migrating to new systems. Among other things, they are uncertain about the ultimate ROI the new system will deliver.

  1. Data privacy is a concern.

How much data should be exposed to AI is an issue for end-user organizations as well as government regulatory agencies.

Among the many benefits of data integration is the enablement of AI to drive personalized and targeted service in customer support, as AI can view and summarize customer information from different systems. This can range from listing a customer’s name and intent on agents’ desktops to providing buying history to support agents’ upsell efforts based on customers’ past preferences.

There is, however, a fine line between personalized service and violating a customer’s privacy. While some elements of personalization can feel special and help to create a sense of emotional connectedness, it’s important not to pass the point where knowledge about the customer creates a sense of invasion.

Another concern is the need to move operations to the cloud, as most AI is cloud based. Some businesses may be unable to do this due to regulatory compliance requirements for customer databases to remain on premises. For example, healthcare providers must keep patient data on premises to maintain security and privacy .

Additionally, some businesses are concerned about losing control and visibility of their IT infrastructure and customer databases by moving them to the cloud. Data sovereignty is also a factor, as some governments (including those in Europe) require businesses to keep data within the country, forcing AI solution providers to base their solutions in local datacenters.

Strategies to Overcome Challenges Impeding AI Adoption

  1. Base AI capabilities on integration and training, but also customer privacy and data governance.

Efficacy is critical for driving end-user adoption. This involves connecting different data sources and enabling closer and more far-reaching integrations within the ecosystem.

To this end, the market is witnessing a shift from SaaS-based to platform-based solutions, which allow integrations across different systems and third-party providers. Vendors also need to ensure compatibility with different IT environments, including integrating on-premises with cloud environments to enable business in different stages of their DX journey to access AI benefits.

The next step should be cleaning and structuring data, which can be overwhelming for businesses with particularly large/extensive data pools. This could present a business opportunity for professional service providers and systems integrators.

AI innovations should also incorporate guardrails to prevent misinformation, since AI is only as good as the data behind it and the training it receives. There should always be an option for human intervention to monitor and rectify AI-based results. Customers should be able to opt for how much of their information they want to be exposed to AI and other parties.

AI should be available for businesses who are mandated to run their operations on premises. And communications and collaboration solution providers should develop partnerships with other service providers that have widely distributed or local datacenters, thus making it possible to base their solutions in datacenters stipulated by data sovereignty requirements.

  1. Handhold customers during the process.

Developing suitable solutions is just one part of the story. It is also necessary to educate customers who are still familiarizing themselves with AI. Our data reveals that many businesses are unsure about use cases and how AI will fit into their overall operations. It is therefore necessary to drive conversations with relevant business leaders.

IDC data shows that while IT is still an integral part of sales discussions, business leaders are becoming more involved. Deploying AI is not just about new technology but changing business culture around it involving managers, and employees at all levels.

Making AI successful within organizations requires hand-holding through the process, from education to implementation and change management.

  1. Pay close attention to pricing.

Pricing is another important consideration, and pricing trends are wide ranging. Some vendors include AI features in their solutions without charging extra, while others offer them as add-ons at an additional price.

Not surprisingly, customers’ willingness to pay for AI solutions varies, depending on their perceived value versus price. While the unique and sophisticated functions AI can perform will influence pricing strategies, common features like meeting summarization and message composition are likely to face commoditization.

A federated approach to AI is helping to keep costs down and make it possible to offer AI as part of overall communication solution bundles. In the long run, it is likely that basic GenAI-based features will be part of overall communications solution bundles.

  1. Work closely with partners for go-to-market motions.

Go-to-market strategies are also crucial, particularly in Europe, where much of the IT communication stack is sold through partners, some of whom need training to communicate effectively with relevant business stakeholders. Channel partners should be incentivized for go-to-market initiatives, including monetary incentives and ownership of commercial relationships.

Vendors need to provide high-touch support during the sales process but leave ownership to channel partners post-sale. Market dynamics require vendors and partners to work hand-in-hand.

Conclusion

Succeeding in the business communications market involves more than introducing new AI features. It requires ensuring data efficacy by connecting different data sources, effectively training AI, and implementing guardrails to prevent misinformation.

Vendors need to understand where businesses are in their AI journey and customize solutions to meet their needs, including integration with unique IT environments and compliance with data governance and security requirements. Educating businesses about AI benefits and helping them implement AI in a compatible IT environment is essential.

The partner community plays a crucial role in the go-to-market process, and success will necessitate close collaboration between vendors and partners.

Oru Mohiuddin - Research Director - IDC

Oru Mohiuddin is a Research Director in the European Enterprise Communications and Collaboration team. Based in London, she is responsible for IDC’s coverage of Unified Communications and Collaboration in the region. Her work focuses on tracking the markets for premise-based and cloud solutions and new developments and trends, particularly in the light of changing work patterns impacting the traditional mode of enterprise communication. Prior to joining IDC, Oru worked for Euromonitor International, where she focused on Future of Work and technology in the SMB context. She also worked in New York and Bangladesh and speaks English and Bengali. Oru was awarded Chevening Scholarship by the British Foreign and Commonwealth Office to pursue her MSc in International Development from the University of Birmingham. In addition, Oru has a BA from Marymount Manhattan College in New York.

In the digital business and AI-everywhere era, technology is now a strategic enabler that permeates every aspect of business operations. According to IDC’s Worldwide CEO Survey (February 2024, n = 67), 48% of CEOs in Europe, the Middle East, and Africa (EMEA) now report regularly to the board on the status of digital initiatives, highlighting the strategic nature of digital technologies among businesses.

In this context, the chief information officer (CIO) is assuming a pivotal role as business leader, with digital technologies driving innovation, growth, and competitive advantage. Increasingly, the main KPIs on which CIOs are now measured are business-related metrics, from revenue growth to improving customer and employee experience, in a close relationship with other functional business leaders.

Historically, the CIO was primarily responsible for managing the IT infrastructure, ensuring its reliability, security, and efficiency. However, in today’s digital business era, European CEOs are assigning their CIOs multiple responsibilities, each one building upon the other to an increasing level of complexity:

  • IT Modernization: This will be the primary responsibility for CIOs for the next two years, with the aim of making IT systems and solutions up to date and capable of providing the necessary speed, efficiency, and flexibility to improve business results. The expansion of artificial intelligence and generative AI — and the drive to generate value from these technologies — is drawing attention to the fundamental aspects of foundational IT. Modernizing IT systems and processes also requires significant organizational change, addressing concerns and resistance from stakeholders and ensuring a smooth transition to new systems and technologies. This involves training and support for employees to help them adapt to new ways of working, which requires collaboration from other C-suite roles.
  • Digital Business Orchestration: In the next two years, as organizations mature into digital businesses, CIOs will be increasingly expected to orchestrate digital business initiatives across different functions, with a view to generating new revenue streams from digital business models, such as ecommerce or servitization. While C-Suite buy-in and stakeholder management are key for this progress, they will be even more essential for IT modernization. For instance, in the majority of organizations, investment decisions around artificial intelligence entail joint accountability. IDC predicts that in 2024, as part of a responsible Al strategy, 40% of CIOs in EMEA organizations adopting Al will team up with line-of-business CxOs to ensure a clear ROI on prioritized use cases (IDC EMEA Futurescape, 2024).
  • Risk Mitigation and Management: Macro-shocks such as the Covid-19 pandemic, geopolitical and economic uncertainties, and supply chain disruptions have underlined the need for digital technologies to strengthen overall organizational resiliency. CIOs are tasked with ensuring business continuity and defining disaster recovery plans in the face of risks ranging from cyber attacks to unpredictable external events. Investing in security technologies to improve organizational risk posture is first priority for European CEOs and CIOs. Moreover, attention to regulatory compliance and corporate trust is on the rise, as reflected in the European Union, for example, with directives such as the Corporate Sustainability Reporting Directive (CSRD). Technology can play a key role in such areas as integrating and automating environmental, social, and governance (ESG) compliance reporting. This is why IDC also predicts that, by 2025, CIOs in at least 60% of large EMEA organizations will have components of their compensation package tied to ESG targets.
  • Cost Optimization: Despite persisting macroeconomic uncertainties, European CEOs do not expect to reduce IT budgets, as digital investments are key to driving business growth. In fact, according to IDC Worldwide Black Book Live Edition (March 2023), IT spending in EMEA will grow four times faster than GDP in 2024. However, with the number of digital initiatives increasing steadily and IT modernization efforts requiring significant financial investments, CIOs are in charge of resource allocation and are often being accountable for cost control when orchestrating digital business initiatives across functions.

As the role of CIOs expands to encompass broader strategic responsibilities, these leaders are increasingly claiming their seat on the Board as digital business leaders.

To learn more about IDC EMEA CIO Predictions, download our ebook IDC FutureScape “What If You Could See Around the Corner — EMEA Perspective” or reach out to discover more on IDC EMEA C-Suite Tech Research.

Martina Longo - Research Manager, Digital Business - IDC

Martina Longo is a research manager in the IDC Digital Business Research Group. In her role she advises ICT players on how European organizations create business value using digital technologies. She also leads IDC European Digital Native Business research, focused on those enterprises born in a modern technological world in a mix of start-ups, scaleups, and more mature digital natives. Within the European Digital Business Research, the European Digital Native Business, Start-ups and Scale-ups theme advises technology suppliers on the market dynamics and segmentation, business priorities, tech buying patterns and go to market approaches (sell to/sell with) needed to engage digital native organizations in Europe.

The European cybersecurity landscape is evolving at an unprecedented pace, driven by an increase in cyberthreats, stricter data privacy and GDPR compliance, and the widespread adoption of cloud technologies.

For security vendors, this dynamic environment presents a unique set of challenges and opportunities. A well-defined cybersecurity strategy tailored to the specific needs of European businesses is crucial for success.

Cloud Security: Compliance and Differentiation

As cloud adoption continues to rise, so too does the need for robust cloud security measures. A strong cloud security positioning, aligned with emerging EU regulations, is essential for building trust and credibility with European customers. Vendors should equip their sales teams with buyer intelligence that highlights the strengths of their offerings and demonstrates how their solutions address industry-specific cybersecurity challenges.

Endpoint Security: Tailored Messaging for Maximum Impact

With the increase in remote work, endpoint security has become a top priority for businesses across industries. To resonate with potential customers, security vendors should develop targeted content addressing unique endpoint security concerns in sectors such as healthcare and finance. Training sales teams to effectively address objections related to the complexity and cost of managing endpoint solutions is key to success.

Managed Security Services (MSS): Catering to Diverse Needs

MSS are increasingly in demand as organizations struggle to keep up with the ever-changing threat landscape. To effectively serve the European market, vendors should define a diverse MSS portfolio that caters to both midmarket companies and large enterprises and that addresses their varying resource constraints and needs. Highlighting successful MSS implementations across different European countries, with a focus on compliance and operational benefits, can be a powerful way to demonstrate value and build trust.

IT/OT Convergence: Bridging the Gap

The convergence of IT and operational technology (OT) presents a unique challenge in the cybersecurity landscape. Industrial sectors face unique challenges, and vendors should develop clear road maps to address the integration of IT and OT security. Sales enablement should focus on equipping teams with the knowledge and tools to articulate the value proposition of converged security solutions to IT, OT, and business decision-makers.

Network Security: Staying Ahead of Emerging Threats

As network infrastructure becomes more complex and interconnected, so do the threats targeting it. Security vendors can establish thought leadership by creating content that highlights emerging network security threats, such as 5G vulnerabilities and IoT attacks.

Demonstrating how their solutions effectively mitigate these threats can be a powerful way for vendors to differentiate in a crowded market. Equipping sales teams with ROI calculators can help showcase the cost savings associated with proactive network security measures.

Data Security and Privacy: Adapting to a Changing Landscape

The evolving privacy landscape in Europe, with its focus on data sovereignty and cross-border data transfers, requires a proactive approach to data security. Vendors should align their solutions with the latest European cybersecurity standards and educate prospects on best practices and the legal implications of noncompliance. Webinars, white papers, and other educational content can help build awareness and drive demand for data security solutions.

Conclusion

By following these best practices and leveraging market intelligence, security vendors can effectively navigate the complexities of the European cybersecurity market and achieve long-term success. Building a robust cybersecurity strategy that addresses GDPR compliance, industry-specific challenges, and emerging threats will position vendors as trusted partners in the eyes of European businesses.

Interested in a deeper understanding of the issues discussed here? Contact Dominique Bindels at dbindels@idc.com.

Also, you might be interested in the following complimentary IDC guides:

Increase Customer Lifetime: The B2B Growth Marketing Guide for Tech Vendors
B2B Marketing & Sales Guide to Outcome-Focused Conversations

Don’t miss our webinar “The New Cyber Security Opportunity in an ‘AI Everywhere’ World”

Dominique Bindels - Consulting Manager, Custom Solutions Europe - IDC

Dominique Bindels is a consulting manager in the IDC European Custom Solutions team, partnering with companies in the AI/ML, security, process automation, and Big Data analytics spaces. He has a background in strategic consumer market research for consumer electronics and related services and ecosystems, providing leading consumer electronics companies with insights and analysis. He is a regular speaker at industry and client events. He studied in the U.K. and Germany, and has master's and bachelor's degrees in international business with finance.

The success of any organization is inextricably linked to the experiences of its employees. Positive employee experiences (EX) generate favorable results, contributing to the overall health and success of businesses. Conversely, employee dissatisfaction can cascade through the organization, leading to stagnation in innovation, declining client satisfaction, and reduced profitability. Thus, employee dissatisfaction serves as an early warning sign of deteriorating organizational health.

According to IDC’s latest Future of Work Employee Experience EMEA Survey, 63.6% of employees in the Europe, Middle East, and Africa (EMEA) region are unhappy with their employers. This alarming statistic indicates that nearly two-thirds of businesses in EMEA are vulnerable to the risks associated with poor employee experiences.

Employee dissatisfaction often manifests in suboptimal customer experiences (CX). Happy, engaged employees are more likely to deliver exceptional service, driving customer loyalty and business growth. Therefore, improving EX is a strategic imperative for enhancing CX and achieving sustainable success.

This blog highlights five practices that organizations must avoid in order to prevent the negative domino effect of poor employee experience on business success.

  1. Reliance on Outdated Technology

Organizations often upgrade their technological solutions to improve compatibility and strengthen security. However, the impact of outdated technology on employee experience is frequently overlooked. When employees are forced to use obsolete systems, their efficiency suffers, leading to frustration and disengagement. This hampers their ability to solve problems creatively, as well as their ability to innovate.

Reliance on legacy systems also increases the likelihood of technical failures, slowing down workflows, escalating operational costs, and eroding the organization’s competitive edge.

  1. Inefficient IT Support

IT support is the backbone of a well-functioning modern workplace. Inadequate IT support results in lingering technical issues, causing disruptions and prolonged downtimes. This frustrates employees, leading to decreased morale and productivity.

Employees expect prompt and effective solutions to their technical problems. When these expectations are not met, trust in the organization erodes, resulting in higher turnover rates, increased absenteeism, and a general decline in workplace engagement. An underperforming IT department thus becomes a critical vulnerability, impacting overall employee experience, client satisfaction, and profitability.

  1. Excessive Surveillance and Monitoring

The rise of employee surveillance and monitoring technologies is a double-edged sword. While intended to boost productivity and security, excessive monitoring can severely damage workplace culture. Employees who feel constantly watched are likely to experience heightened stress and anxiety, reducing job satisfaction and productivity.

A culture of surveillance undermines trust between employees and managers, fostering a punitive environment where employees feel undervalued and demoralized. This stifles collaboration and creativity, both of which are essential for innovation. Moreover, a culture of mistrust can tarnish the organization’s reputation, hindering its ability to recruit and retain top talent.

  1. Insufficient Communication and Productivity Tools

Effective communication is vital to any organization. Insufficient communication tools impede the flow of information, leading to misunderstandings, errors, and delays, which disrupt workflows and diminish overall productivity.

Without robust communication platforms to facilitate collaboration, organizations risk creating silos within departments. Poor communication tools not only hinder day-to-day operations but also stymie strategic initiatives, affecting long-term organizational goals.

  1. Lack of Structured Training and Development Programs

Top talent across all sectors seek opportunities for personal and professional development. Organizations that neglect employee training and development risk losing valuable talent to competitors offering better development opportunities. Additionally, a lack of training leaves employees ill-equipped to adapt to new challenges and technologies, leading to stagnant growth and diminished innovation.

Employees view training and development as crucial to their career growth. Organizations that invest in their employees are more likely to earn their loyalty and engagement. Conversely, businesses that fail to provide these opportunities face higher turnover rates and reduced employee loyalty, incurring significant recruitment costs and disrupting continuity and team cohesion, further impacting productivity and client satisfaction.

Conclusion

The interdependencies within an organization mean that poor employee experiences can trigger a cascade of negative outcomes. To mitigate these risks, organizations must prioritize employee experience. Investing in employee experience not only enhances organizational health but also drives business success. Organizations in EMEA recognize this: in 2023, 62% of businesses in the region reported that they were investing in employee experience (Source: IDC’s Future Enterprise Resilience Survey, June 2023, n = 1,014).

Addressing these five common areas that cause poor employee experience is a critical step toward achieving better organizational health and overall success.

Find out more about IDC’s research on factors that influence employee experience here.

Gala Spasova - Senior Research Manager, Europe Smart Office and EMEA Content & Knowledge Management Strategies - IDC

Gala Spasova is a senior research manager in IDC's Future of Workplace & Imaging team. Her research focus is on Hybrid working, Smart Office technology and Content & Knowledge Management Strategies in EMEA. Spasova is also part of the European Technology for Sustainability and Social Impact Practice, in which she offers strategic direction and advice to ICT players on the business value of sustainability. In her role, she is involved in providing market analysis and insights and business planning advice and delivering consulting projects. Gala's experience enables her to aid the development of new products and services for customers of IDC Europe.

In today’s rapidly evolving digital landscape, one concept is consistently making waves across all sectors: digital twins. Digital twins serve as virtual replicas of physical entities, systems, processes, organizations, or ecosystems, offering real-time insights into their operations.

Unlike static representations, digital twins dynamically mirror in real time the life of their physical counterparts. Twins empower organizations to optimize performance, predict issues, and uncover valuable insights previously out of reach.

Previously mostly confined to sectors like manufacturing and energy, digital twins now span diverse industries. Evolving from specialized solutions, they’ve become versatile tools for enhancing operations and guiding decision-making processes.

Digital twins facilitate ongoing operational improvements by dynamically adjusting to evolving operational parameters, environmental factors, and human input. This synergy of digital capabilities and human expertise fosters a culture of continuous operational excellence and refinement.

But with this rapid expansion comes the challenge of defining, implementing, and maximizing the true value of digital twins.

Industry Transformation: Innovative Applications of Digital Twins

In today’s ecosystem-driven world, digital twins are key to industry transformation. Inherently flexible, digital twins scale from entity representations to encompass entire interconnected enterprises and ecosystems, offering a comprehensive view of assets, operations, and partners. They enable organizations to model, monitor, and predict the behavior of the various components of the ecosystem to facilitate adaptation as conditions change and to drive innovation.

Our research shows how, quite consistently, organizations across different sectors are harnessing digital twins to innovate products and services within their ecosystems.

Healthcare Innovation through Digital Twins

In healthcare, optimizing care and clinical outcomes requires a deep understanding of the broader ecosystem in which patients live and how they access services, adhere to prevention initiatives and treatment plans, and what resources they need. To innovate care services, healthcare organizations need to collaborate with various stakeholders across multiple processes.

The European Commission’s VHT Initiative promotes digital twin technology in healthcare through research and deployment activity. This includes funding for computational models, infrastructures, and projects like the European Virtual Human Twin (EDITH), which among its objectives aims to create a federated cloud-based repository for cataloging resources and designing a simulation platform that provides users with a one-stop shop to design, develop, test, and validate digital twins for healthcare.

Transforming Supply Chains: The Case of Catena-X

New use cases are emerging, particularly in complex areas like supply chains. Digital twins can, for example, be used in vehicles and their components to map the entire value chain from creation to disposal and to improve parts traceability.

Catena-X, an open data ecosystem for the automotive industry, has been designed to ensure secure data exchange and data sovereignty among all stakeholders in a supply chain.

Based on the Catena-X framework, digital twins of vehicle components (e.g., battery modules/packs) can be utilized to facilitate the digital flow of information from battery manufacturers to vehicle OEMs and back.

The important thing here is that when data is exchanged between two parties, access is managed in a way that only reference information is shared. Part-specific data remains with the manufacturer.

IDC’s Cross-Industry Digital Twin Framework

As adoption rates rise and new use cases emerge, organizations must navigate the rapidly evolving landscape with strategic clarity. IDC offers a comprehensive framework to support industry-specific digital twin strategies.

The framework provides guidance on defining entities, systems, and processes eligible for digital twinning. We analyze market drivers, challenges, and benefits, and identify and analyze key industry use cases and examples of best practices.

Through tailored industry reports, IDC delves deep into digital twins across sectors like financial services, healthcare, and transportation (to mention just a few), providing insights and recommendations for transformative impact. For end users, the framework offers ready-to-use templates to assist strategy definition and market analysis. Tech providers can gain industry-specific insights to tailor offerings and drive adoption.

 

 

As the digital twin revolution unfolds, organizations must seize the opportunity to unlock the full potential of twins. Industry stakeholders must confidently navigate the complexities of digital twins to foster innovation, collaboration, and resilience within their organizations and across industry ecosystems.

Whether you’re just starting or are refining your approach, IDC Insights teams are eager to discuss your experiences and plans regarding digital twins across industries.

Silvia Piai - Research Director, IDC Health Insights - IDC

Silvia leads the team of analysts covering the European healthcare market and the Worldwide Medical Devices Industry. Her research provides strategic advice to end users and vendors in healthcare and life sciences, assisting organizations in understanding how technologies are disrupting and transforming traditional business models. Silvia Piai's research offers a comprehensive perspective on the foundational elements shaping the health industry's evolution. Her analysis delves into the implication of key industry trends like evidence-based medicine, personalization and integration of care services and the transformation of health industry ecosystems. Through these overarching themes, Silvia Piai offers in-depth analysis of ongoing innovations and best practices in pivotal technological domains such as AI, IoT, Cloud and industry-specific solutions.

Supply chain disruptions — unpredictable supplies, product shortages, increasing material costs — continue to have a profound impact on manufacturers worldwide. In response, remanufacturing, which has long been a part of the industry, has seen a surge in popularity in recent years.

Companies are turning to remanufacturing as an alternative solution when they face challenges in procuring components or encounter skyrocketing prices. This approach not only helps address immediate supply chain issues but also fosters resilience and mitigates risks by prompting manufacturers to rethink their sourcing strategies and diversify their supply chains.

Moreover, remanufacturing is emerging as a key component of manufacturers’ sustainability strategies. Beyond its role in addressing supply chain disruptions, remanufacturing delivers significant environmental benefits. By reusing raw materials, it conserves resources and minimizes waste, contributing to a more sustainable use of resources.

Remanufacturing also promotes energy efficiency, reduces emissions, and embodies the principles of the circular economy, bolstering its appeal as a sustainable practice in manufacturing. As companies increasingly prioritize sustainability goals, remanufacturing is poised to play a crucial role in achieving these desired outcomes while also addressing supply chain challenges.

What is Remanufacturing?

According to the Remanufacturing Industry Council, “Remanufacturing is a comprehensive and rigorous industrial process by which a previously sold, leased, used, worn, remanufactured, or non-functional product or part is returned to a like-new, same-as-when-new, or better-than-when-new condition from both a quality and performance perspective, through a controlled, reproducible, and sustainable process.”

At the center of remanufacturing lies the concept of the “core.” The core refers to the existing, used, or worn-out part that serves as the starting point for the remanufacturing process. This core component undergoes a series of steps, including tracking, identification, disassembly, cleaning, inspection, repair, and reassembly, to transform it into a product or part that meets the desired quality and performance standards.

Effective core management is essential for manufacturers engaged in remanufacturing. It allows them to maximize the value of core assets, manage costs, and strengthen relationships with customers and suppliers. Additionally, robust core management practices help minimize waste and environmental impact by promoting the reuse of existing materials and reducing demand for new resources.

Closing the Gap: The Need for Remanufacturing Software

Remanufacturers in discrete manufacturing environments face distinct challenges that are not adequately addressed by traditional ERP systems. While ERPs offer essential functionalities like inventory management, testing, and quality control, remanufacturers require specialized core management features tailored to their needs, including:

  • Core Tracking and Disassembly: Efficiently collect and inspect individual components or parts for wear, damage, or defects, ensuring thorough assessment and tracking throughout the remanufacturing process.
  • Reconditioning, Repair, and Replacement: Address wear, damage, or defects in components through reconditioning or repair processes, or replace them with new or remanufactured parts as needed.
  • Reassembly: Reassemble products according to technical specifications, ensuring that the final product matches the quality and performance of the original.
  • Complex Product Configurations: Manage complex product configurations, accommodating a mix of old, new, or remanufactured components while maintaining accuracy and consistency.
  • Cost Estimation and Pricing: Provide accurate cost estimation and pricing based on the type of components used, enabling transparent and competitive pricing strategies.
  • Traceability and Compliance: Ensure traceability and compliance with regulatory requirements by generating reports and documentation necessary for regulatory purposes, maintaining transparency and accountability throughout the remanufacturing process.
  • Integration Capabilities: Seamlessly integrate with other systems such as ERP or CRM, enabling data exchange and process synchronization across the organization.

By investing in specialized remanufacturing software, manufacturers can streamline operations, enhance productivity, and ensure compliance while effectively managing the complexities of the remanufacturing process.

Regional Approaches to Remanufacturing

Remanufacturing approaches vary across the globe, with each region displaying unique drivers and focus areas.

Primarily driven by cost savings but also influenced by federal/state regulations, the North American remanufacturing market is well developed. There is growing demand for remanufactured products across automotive, electronics, and aerospace.

In Europe, the growth of remanufacturing is closely tied to circular economy principles. With a strong emphasis on resource efficiency and waste reduction, government policies and initiatives play a significant role in driving adoption.

A key manufacturing hub, Asia holds immense potential to integrate remanufacturing practices into its industrial landscape. Technological advancements and a growing awareness of sustainability issues are driving the region toward embracing remanufacturing as part of its transition to a circular economy.

Cross-regional collaboration and knowledge-sharing initiatives are important for driving progress in remanufacturing practices globally. Leveraging insights and best practices from different regions can accelerate the adoption of remanufacturing and work toward achieving shared sustainability outcomes.

Guidance for End Users: Choosing the Right Remanufacturing Software

Selecting the right remanufacturing software is a critical decision, whether it’s an off-the-shelf (COTS) solution, customized, or a packaged solution offered by vendors. Regardless of the approach, the software should address the specific needs of remanufacturers while complementing existing systems and processes.

  1. Identify Your Unique Needs: Consider your remanufacturing business’ unique requirements, including core management, inventory control, quality assurance, cost savings, and regulatory compliance.
  2. Comprehensive Functionality: Look for solutions that offer a comprehensive range of functionalities, addressing core management challenges while also supporting traditional manufacturing processes.
  3. Ease of Use and Scalability: Prioritize solutions that are user-friendly and scalable to accommodate your business’ growth.
  4. Customization and Integration: Evaluate the software’s customization capabilities to tailor it to your specific remanufacturing workflow. Assess its integration capabilities to ensure smooth data exchange with other systems, such as ERP or CRM.
  5. Vendor Success Stories: Request case studies or success stories highlighting real-world implementations and measurable improvements achieved by other remanufacturing businesses. This can offer valuable insights into the software’s effectiveness and suitability for your needs.
  6. Road Map and Technological Advancements: Inquire about the vendor’s road map for future software developments and how they plan to incorporate the latest technological advancements such as automation, advanced analytics, and AI. Understanding the vendor’s commitment to innovation can help ensure that the software remains relevant and competitive in the long term.

By carefully considering these factors and collaborating closely with software vendors, end users can select remanufacturing software that not only addresses current challenges but also supports future growth and innovation in their operations.

 

Further reading: IDC MarketScape: Worldwide Remanufacturing Management Software 2024 Vendor Assessment

Gunjan Bassi - Research Manager - IDC

Gunjan Bassi has more than 14 years' experience working in the logistics and transportation sector. Before joining IDC, she worked with Transport Intelligence (Ti), a transportation and logistics research firm based in Bath, England, where she was responsible for vertical sector research covering qualitative and quantitative reports. She was also actively involved in the development of new research capabilities and product features of Ti's flagship market intelligence portal. Previously, based in India, she was leading the global logistics research team at Evalueserve where she was responsible for running custom research projects commissioned by leading logistics service providers (LSPs) and focussed on strategy/GTM, sales enablement, and market and competitive intelligence. Bassi holds a bachelor's degree from Shri Ram College of Commerce (SRCC), Delhi University, and post-grad studies in management.

AI, which is poised to accelerate change more than any technology in history, has finally seized the CEO agenda. For those who viewed AI opportunistically, the introduction of generative AI (GenAI), along with the capabilities of large language models, is serving as a wake-up call to a new era.

According to IDC’s cross-industry Future Enterprise Resiliency and Spending Survey of January 2024, 37% of respondents globally believe GenAI will make a significant impact in the next 18 months. Nearly one-quarter said GenAI was beginning to disrupt their business, with 10% reporting it had already done so. Interestingly, these impacts are being felt most strongly by organizations in Asia/Pacific, followed closely by those Europe and the U.S.

Business competition remains fierce at the regional, national, and organizational levels. Conversations with numerous CEOs and senior managers about their approach to disruptive technologies, particularly AI and GenAI, prompted me to question whether leaders are asking themselves the right questions as they navigate this disruptive landscape.

Leaders of enterprises and medium-sized companies are adopting unique approaches. Some are enthusiastic about the potential productivity offered by innovative technologies. Others take a more cautious approach, advocating a measured strategy until the benefits of these technologies are proven on a broader scale.

This dichotomy often arises in discussions about emerging technologies like AI, cloud computing, and digital twins.

I’ve compiled a dozen key questions leaders should be asking as they guide their organizations through the dynamic — and potentially perilous — landscape of disruptive technologies:

  1. Recognizing Disruptive Technology

How can I determine whether it’s just buzz or a truly disruptive technology that our company can benefit from?

It’s crucial to develop a keen ability to distinguish between industry hype and genuinely disruptive technologies. This requires staying informed about emerging trends, engaging with industry experts, and fostering a culture that encourages innovative thinking.

  1. Building a Self-Learning Organization

How can I know if we have a self-learning organization whose organizational structure and processes enable us to identify, test, pilot, and objectively assess technology trends?

Organizational structures and processes must be assessed to ensure they foster a self-learning environment. This involves creating channels for identifying, testing, piloting, and objectively assessing technology trends within the company and promoting a culture of continuous learning and adaptation.

  1. Balancing Short- and Long-Term Focus

How can we benefit from new technology? Will a short-term focus jeopardize our competitive advantage?

Addressing immediate needs is crucial, but the long-term impact of new technology must also be evaluated. Embracing sustainable and forward-thinking strategies can help organizations avoid a myopic focus on short-term gains and instead build a competitive advantage.

  1. Data Protection and Cybersecurity

Personal productivity tools are great — but what about data protection and cybersecurity?

As organizations integrate personal productivity tools powered by AI, data protection and cybersecurity must be prioritized. Implementing robust measures to safeguard sensitive information is essential to reduce potential risks and ensure stakeholder trust.

  1. Technology Ecosystem

Do we need to be part of an ecosystem of technology vendors, advisors, and service providers?

Yes, it is critical to have access to a robust and versatile ecosystem of technology vendors, advisors, and service providers to navigate the complexities of emerging technologies. A collaborative approach enhances the organization’s capacity to understand, adopt, and integrate new technologies.

  1. Absorbing Innovation

How can I know if my organization has the ability to absorb another innovation? Will we need to create new dedicated positions, teams, or even departments?

Assessing the organization’s capacity to absorb new innovations is critical. Hence, it must be determined if your existing structures can accommodate technological changes or if dedicated positions, teams, or departments need to be created to facilitate a smooth integration.

  1. Avoiding Pilot Purgatory

In earlier technology deployment projects, we wound up parked in “pilot purgatory.” How can I know if we have learned from these experiences?

Another stop in “pilot purgatory” is possible if organizations haven’t learned from their previous technology deployment challenges. Organizations should establish clear guidelines and action plans for transitioning from pilot phases to full-scale implementation. This is vital to realize the full potential of tools like AI.

  1. Constant Change

Do our leaders need training to help them understand new paradigms and guide the organization in a world of constant change?

A continual education culture should be established to navigate the relentless change associated with emerging technologies. Such training would involve understanding new paradigms, learning how to foster adaptability, and creating a learning culture that supports leaders during times of uncertainty and rapid technological shifts.

  1. Balancing Human-Machine Collaboration

Who’s taking the lead: machines or humans?

Assess the roles of machines and humans within the organization. Striking a balance between automation and human involvement ensures harmonious collaboration that leverages the strengths of both, leading to increased efficiency and innovation.

  1. Regulatory Aspects

Should regulatory aspects be in our focus from the first discussions of the technology?

Prioritize regulatory considerations from the outset. Proactively addressing regulatory compliance ensures a smoother integration process and mitigates potential legal and ethical challenges.

  1. Contingency Planning

If we change or terminate technology at the company level, do we need a contingency plan?

A thoroughly prepared contingency plan should be in place when changing or terminating technology at the company level. This ensures minimal disruption and facilitates a smooth transition in case unforeseen challenges arise during the implementation or adoption process.

  1. Talent Management

How can I know if we have the talent to cultivate talent in the coming periods?

Focus on developing and retaining talent capable of driving technological advancement. This involves identifying, nurturing, and empowering individuals who possess the skills and mindset to lead the organization through the evolving landscape of AI and emerging technologies.

The Bottom Line

Being a leader who guides other leaders in transforming and revolutionizing industries and management domains demands a distinct set of skills and qualities, particularly the ability to pose the right questions — both to oneself and to the relevant stakeholders. Sometimes, despite our vantage point at the helm, we fail to anticipate the emergence of the next disruptive technology or product.

Some leaders might assert, “I rely on intuition, experience, and advisors to perceive what others cannot.” I advise caution. When it comes to leveraging technology adoption to gain a genuine competitive advantage, only a select few can keep pace with the relentless influx of new technologies.

It’s akin to a wild goose chase. But initiating the right discussions with yourself and your team can serve as a crucial starting point, potentially leading to the capture of flocks of opportunities!