At IDC’s European Manufacturing Digital Summit 2022, on November 15, 2022, over 79 “live” attendees from across 21 countries discussed the key theme of the event — “Thriving in Manufacturing with PRIME — Purpose, Resilience, Imagination, Mastery and Ecosystems”.

The summit featured an impressive panel of speakers from our partners and the manufacturing CxO community, complemented by insights from the European IDC Manufacturing Insights team.

Based on the presentations and roundtable discussions from 14 sessions, our top 10 manufacturing trends in Europe are as follows:

  1. Manufacturing organisations must leverage IT to achieve quick wins and build long-term capabilities

The current storms of disruption in Europe may not change manufacturing organisations’ approach to everyday work, but they had led to a greater focus on solving immediate challenges while keeping an eye on longer-term strategic investments. Immediate initiatives focus on increasing efficiency (to reduce costs), flexibility and agility (to better master unpredictability). IT can significantly help the business to weather these storms of disruption, be it supply chain challenges, inflationary pressures, cyberattacks, skills gaps or escalating energy prices. But IT must also ensure that long-term business needs can be met — key to making manufacturers more resilient in the long term.

  1. Automating and sharing data in an integrated and trustworthy way is a challenge

Often the technology itself is not the challenge — the challenge is having a robust model and approach that enables different technologies and the data they generate to be integrated in a secure way without creating silos so they can provide value to users inside and outside the company.

  1. A zero-trust approach to cybersecurity

Manufacturing organisations must be consistent in providing access and security in every connected environment: from factory-level IT and OT to plants being globally deployed. When mapping the security architecture, manufacturers need to look at the overall security posture. In OT and IT, they need to be careful about both known and unknown threats. They need to build rules to block known threats and warn of suspicious behaviour. The key is to recognise the nature and impact of potential threats and risks, and articulate their vision in a way that is relevant to C-level business leaders.

  1. Location data for process automation can empower OT and relieve IT

Location-based process automation can make IT’s job easier and empower OT to tackle automation projects themselves. Improving transparency and driving process automation on the shop floor is about bridging vertical IoT system silos, including different location technologies (e.g., GPS, RFID, UWB) and respective middleware.

  1. “Phygital” (IT/operational) convergence to avoid business performance divergence

Operational equipment instrumentation is steadily increasing along with factory connectivity, driving the growth of data in the manufacturing industry. Companies that see data management as an issue to solve, rather than an opportunity to exploit, will have a problem keeping their processes up to speed. IT and OT convergence through integrated governance models is a vital step in this journey.

  1. Industry ecosystems will rely on IT-OT integration

Bridging the gap between IT and OT will be essential in the context of industry ecosystems, which are increasingly generating value. A core pillar for this is operational data exchange, but this requires trust, appropriate platforms, infrastructures and applications that support use cases.

  1. Best-in-class companies use intelligent automation to transform their business holistically

Intelligent automation can provide value in several scenarios, such as rethinking products and services, automating operations, streamlining supply chains, engaging customers, empowering employees and reimagining manufacturing. The ability to apply intelligent automation holistically (end to end) will be a key differentiator and source of competitive advantage for manufacturing companies.

  1. Data can be a foundation for sustainable manufacturing

Data will continue to be a key driver of sustainable manufacturing due to decarbonisation, the battle for talent and the need to increase supply chain resilience and optimise production to maintain competitiveness. It has long been said that “data is the new gold” — when it comes to manufacturing, it’s quite simple.​ On the shop floor, making data visible is the key. According to Peter Drucker, “You can’t manage what you can’t measure”​. Manufacturers are therefore turning to digital twins to make their factories more resilient overall. For instance, solutions using existing technologies — such as sensors, PLCs and IIoT devices to detect vibration, temperature, moisture, noise, etc., or machine vision — are all available.

  1. Finding the optimal interaction between humans and machines

It’s important to use technology to raise worker productivity and offset the critical skill shortages on the shop floor. It will be crucial to get the right degree of interaction between humans and automation technologies (such as AI, RPA and AR/VR) to maximise employees’ potential and avoid conflict. Using low-code and self-service platforms also helps to make data streams human-friendly.

  1. Doing more with less

As rising costs, supply chain issues and other challenges continue to mount, manufacturers are applying more intelligent solutions and technology to do more with less. It will be vital for organisations to optimise decision-making processes to enable data-driven decision making by utilising industrial IoT, cloud, AI and mixed reality, and infusing them with more intelligent and collaborative business applications.

 

Getting Ready for the 2023 Manufacturing Summit in Germany… But First, Some Thank Yous

The IDC European Manufacturing Digital Summit 2022 was very well received by our manufacturing CxO community and our partners, as it provided the opportunity to get the latest insights from IDC and its partners, discuss industry challenges, share lessons learned and network with peers.

We’d like to thank all our sponsors — Citrix, Fujitsu Uvance, Elastic, Kinexon, Nozomi Networks, Palo Alto Networks, Microsoft Radiflow and UiPath — and our Advisory Board Members for making the summit such a success.

All the recordings of our keynote presentations and panel discussions are now available at our on-demand centre.

We have already started prep work for next year’s event, which will be a physical event scheduled for May 22–23 in Cascais, Portugal. We look forward to continuing the dialogue with our 2023 theme, “The Purpose-Led Manufacturer: Thriving with Impact, Scale and Trust”. Please stay tuned.

If you’re interested in joining our manufacturing CxO community or if you’d like to help us to create and shape the agenda for next year’s event, please reach out to Stefanie Naujoks (snaujoks@idc.com) or to anyone on the IDC Manufacturing Insights EMEA team.

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.

The need for a unified approach to disruption of any kind is key to success in the future of work. With global attention divided between many disruptors, the future of work is fraught with many unknowns, from where and how work will be done to how economic pressures will change job opportunities to how social, skills, and climate concerns will have a broad impact.

The reality of our current global economic, climate, and business challenges requires workers to be a part of dynamic and reconfigurable teams that can quickly adapt to business demands and new market requirements — anytime, anywhere, and from any physical location.

Hybrid work – once thought to be a temporary fix throughout the COVID-19 pandemic – is now a mainstay in the global future of work landscape, despite public focus on return to office initiatives. 

The future of work will be one that is defined by a variety of work approaches capable of supporting the ebb and flow of change as the world learns to navigate new challenges.

The promise of such hybrid work models is clear. Rapid adoption of more automated, cloud-based, and artificial intelligence (AI)–enabled work practices increases work productivity and introduces new, more agile ways of working. Insights from more digital-first ways of working are enabling organizations to be responsive to the needs of customers and employees alike, driving improvements in talent acquisition, employee retention, and customer satisfaction.  They also underscore the need for greater focus on skills development in the flow of work itself at a time when many workers struggle to keep pace with new features, functions and applications designed to make work “easier”.

Organizations sufficiently prepared to find and capitalize on opportunities in spite of current and future disruptions will be the ones that define the next future of work.

IDC’s top 10 predictions for the Future of Work in 2023 are:

  • Prediction 1: To address health, sustainability, travel, and other disruptions, 30% of G2000 organizations will adopt immersive third-party metaverse conferencing tech services to enable client engagement by 2027.
  • Prediction 2: By 2024, the business developer role will be ubiquitous, with 60%+ enterprises training and supporting business users to build their own applications and automated processes using low-code tools.
  • Prediction 3: Driven by skills shortages, CIOs that invest in digital adoption platforms and automated learning technologies will see a 40% increase in productivity by 2025, delivering greater speed to expertise.
  • Prediction 4: By 2024, organizations deploying employee micro-monitoring measures (camera/keystroke) will see a 20% decrease in actual employee productivity.
  • Prediction 5: G2000 companies that deploy reactive and tactical hybrid work models will see a 20% revenue loss in 2024 due to job attrition and underperforming teams.
  • Prediction 6: By 2025, organizations that have created dedicated hybrid security policies and developed a culture of trust will be 3x less likely to suffer a security breach.
  • Prediction 7: By 2024, companies offering frontline workers democratized access to digital collaboration, process automation, and similar tools will see 20% increase in revenue due to improved productivity.
  • Prediction 8: Holistic and integrated analytics within an intelligent digital workspace (IDW) ecosystem will drive a 70% increase in differentiated business outcomes for adopters by 2026.
  • Prediction 9: Effectively blurring space and place, by 2025, 65% of G2000 companies will consider online presence to be at parity to “in real life” across their engaged workforce.
  • Prediction 10: By 2024, 55% of C-suite teams at global enterprises will use intelligent space and capacity planning technology to reinvent office locations for gathering, collaborating, and learning.

Interested in learning more? Watch our on-demand webinar, IDC FutureScape: Worldwide Future of Work 2023 Predictions.

Amy Loomis, Ph.D. - GVP, Research - IDC

Amy Loomis is Group Vice President for IDC's worldwide Workplace Solutions. Amy leads a team of analysts focused on the evolving nature of human resources, skills development, collaboration, and leadership across the employee lifecycle. Her research into the Future of Work explores the influence of hardware and software technologies such as artificial intelligence, data analytics, augmented and virtual reality and automation on the changing the nature of work. Her research also explores how technology and business strategy influence workers' skills and behaviors, organizational culture and how the workplace itself is enabling the future enterprise.

At IDC, we believe that understanding the consumers’ mindset around technology is vitally important to all tech companies, regardless of whether your business is B2C, B2B, or B2B2C. This is because irrespective of what type of technology you deliver—be it hardware, software, or services—what your end users want and need is increasingly dictated by their experiences as human beings, not employees. In a world where consumers’ experience with new technologies drives the trends impacting IT decision makers, we increasingly expect the consumer tail to wag the enterprise dog. Grasping this distinction is essential, as is the fact that we expect significant disruptions in the way consumers engage with and spend on technology in the coming years.

To address these fundamental beliefs, IDC has embarked on a multi-year journey to build out new research to drive a better, more profound understanding of the consumer. At the center of this research is our Future Consumer Framework, which consists of eight primary segments that, when taken together, represent a holistic view of how consumers leverage technology across the many facets of their lives. The eight primary categories of the framework include Entertainment, The Home, Money, Shopping, Personal Mobility, Travel & Dining, Lifelong Learning, and Well-being. For those familiar with IDC’s Future of Enterprise research portfolio, it’s helpful to think of that as the yin to the yang of Future Consumer. See the image below for a view of the Future Consumer Framework.

IDC leverages the framework across three primary research areas: The Consumer Pulse, which surveys consumers in seven countries about their current and near-term attitudes toward the eight segments, with particular attention paid to the concept of brand trust. The Consumer Market Model (CMM) leverages the framework to create five-year forecasts of consumer internet penetration, online activities, eCommerce, and other services spending across 51 countries. Finally, the Future Consumer Agenda seeks to provide a futurist’s view of significant trends and technology shifts across the consumer spectrum.

All three programs leverage data to help guide near- and long-term thinking and endeavor to drive thought leadership across the consumer technology category. They build upon and synthesize data and insights from our existing consumer portfolio of products that include device coverage (PCs, Tablets, Smartphones, Smart Home Devices, AR/VR Headsets, and Wearables) as well as market-specific categories (TV/OTT Video and Gaming and eSports). 

Early Consumer Pulse Insights

IDC officially launched the Future Consumer programs in early 2022, and all three programs already drive significant new perspectives. For example, our initial Consumer Pulse Entertainment survey yielded dozens of important insights about consumers’ use of technology to engage with new and evolving content, create content themselves, and even monetize their work. A few essential insights:

  • Social media sites now constitute the biggest source of video content watched by consumers, even bigger than linear TV or streaming.  
  • Each successive generation spends more time on entertainment than the previous, meaning that Gen Z spends demonstrably more time engaged with entertainment than Boomers or older.
  • Gaming represents a larger percentage of the time spent on entertainment among younger generations, too, but that number is sizeable across all generations.
  • Content creators who say they don’t make money from their work tend to use their smartphones for content creation most of the time. In contrast, those who do earn tend to leverage a wide range of devices more evenly, including smartphones, tablets, PCs, and standalone cameras. 

These data points are just the tip of the Consumer Pulse iceberg. Because we’re leveraging a robust survey methodology across seven countries, we’re able to slice and dice our results to surface particularly useful data points that inform both our near-term and long-term views of a category. And remember, this is just one of the eight category-based surveys.

Assessing TAMs with the CMM

Another major launch this year was our Consumer Market Model. Built upon a decade-old service (formerly called the New Media Market Model), the CMM team leveraged brand new IDC survey data, existing IDC device installed base data, and numerous third-party sources to create a massive new dataset that examines total available markets (TAMs) across a range of categories. The CMM aims to be the one-stop shop for consumer-centric forecasts that you can’t find anywhere else, backed by data and analyst insights.

After a year of new research and a taxonomy overhaul, the new CMM has now launched and is driving key insights. A few from the U.S. include:

  • Despite predictions that online fitness would fall off fast after the pandemic, the CMM projects a 13.3% CAGR in total spending on online fitness services from 2021 to 2026 in the U.S. spending through mobile and non-mobile devices (PCs, set-to-boxes, etc.) is expected to reach $2.2 B in 2026, an 87% increase from 2021 at the height of the pandemic.
  • The CMM now has new line items, such as consumer AR/VR services. The model projects that there will be 8.3 million new AR/VR-related services users in the U.S. by 2026. Spending on mobile and non-mobile devices for those services is expected to hit $1 billion between 2024 and 2025 and will carry a robust CAGR of 16.6% through 2026. 
  • The CMM projects that sleep-monitoring/tech services total spending in the U.S. will grow by almost $2 billion between now and 2026. This new line item is increasing at a 12.6% CAGR, with the CMM projecting that 22.5 million new users have been added since 2019.

This is just a taste of what the CMM can provide, and the above numbers are all U.S. only. Remember, we have this data across 51 countries and seven regions and can deliver worldwide rollup.

Predicting the Future

Both the Consumer Pulse and the CMM are data-driven products enhanced by our great team of analysts’ insights. The Future Consumer Agenda program looks to leverage these great insights and follows the resulting near-term trends and hypotheses out even further. The goal is to equip tech companies, governments, non-government agencies (NGOs), and others with insights that drive their long-term strategies. A few predictions from our recent Future Consumer FutureScape illustrate the point:

  • By the end of 2025, more than 20% of consumers worldwide will have begun using device-as-a-service subscriptions for their personal electronics and smart home needs instead of buying devices outright.
  • By 2025, younger diners will help drive 65% of restaurant orders to be for takeout (delivery, pickup, or drive-thru), accelerating the growth of kitchen-only locations and third-party food ordering apps.
  • By 2027, 35% of consumer flagship phone buyers will use a Smart Set (smartphone, watch, and earwear) for entertainment and getting around, pushing leading brands to build content for Smart Sets.

It’s early days in the Agenda program, but to drive our thinking further, we recently created a taxonomy document for this program that adds additional granularity to our Future Consumer Framework.

The Coming Disruption

At the top of this post, I alluded to the idea that we see major disruptions in how consumers engage with and buy technology coming down the pipe. This is based on our recognition that younger generations view and use technology in radically different ways than older ones, and they will retain these unique dispositions even as they age. As these cohorts shift to become a majority of consumer spending, they will drive major sea changes in the consumer and commercial technology markets. Once you see it—as illustrated below—you can’t unsee it.

Source: IDC estimates

This is why IDC has dedicated research dollars, analyst resources, and a number of upcoming special events to cover the consumer space and the changes we see coming. So regardless of whether you’re a technology company focused on B2C, B2B, or B2B2C, it’s vitally important that you understand the coming wave. One way to begin this education: Contact your IDC salesperson, or Future Consumer Sales Specialist Brad Kennedy (bkennedy@idc.com), to set up a free presentation with the Future Consumer team. Or attend our in-person breakfast briefing at CES called Rise of the Future Consumer: Are You Ready for the Seismic Shift? If you won’t be in Las Vegas in early January, contact Brad, and we’ll follow up with a recorded version of the presentation after the show.

Tom Mainelli - Group Vice President - IDC

Tom Mainelli heads the Device & Consumer Research Group, overseeing a wide array of hardware and technology categories that cater to both home and enterprise markets. His team's research spans PCs, tablets, smartphones, wearables, smart home devices, thin clients, displays, and virtual/augmented reality headsets. He also co-manages IDC's supply-side research team, which monitors display and ODM production across various categories. IDC's consumer research, anchored by the Consumer Market Model, employs regular surveys and proprietary models to forecast numerous consumer-focused activities and spending across hardware, software, and services. As Group Vice President, Tom collaborates closely with company representatives, industry contacts, and other IDC analysts to provide comprehensive insights and analysis on a diverse range of commercial and consumer topics. A frequent speaker at public events, he travels extensively, enjoying every opportunity to engage with colleagues and clients worldwide.

Marketing and sales teams have been made to be hyperaware of the fact that consumers and buyers are inundated with content. This information overload and increasing channel mix and outreach mechanisms has been argued to have decreased attention span. What we have is a situation where sales needs leads, marketing needs to drive those leads, consumers have too much to pay attention to and an unforgiving economy created a decline in buyer response. It’s less than ideal.

You can’t alter the economy. You can’t change attention spans. So, what can you do? The answer always is look internally at what you can control. You can control your brand voice. The answers, however, always seem so simple, but the execution is the major challenge.  

Brand Voice and The Acceleration of Marketing’s Digital Transformation

Content marketing is a customer-centric marketing approach focused on creating and distributing relevant, engaging, connected and edible content across channels, to help buyers achieve their objectives, paving the path toward profitable customer action. For years, the marketing industry has been talking about one voice. But it’s not one marketing voice—that would mean there should be one sales voice as well. It’s just one voice, marketing and sales. Too often, organizations can’t align the two. Essentially there is the digital dialogue that gets created by someone in a marketing function and that needs to tie into sales, who are having a more interpersonal dialogue. The promises marketing makes in their digital dialogue are the promises that sales have to keep. Yet, the interpersonal dialogues that are taking place by the sales team may be conveying different value and propositions. This problem has been accelerated through marketing’s digital transformation and with everyone living mostly online now.

To capture today’s buyers, digital and interpersonal engagement strategies must be aligned

Conversations to buyers today are happening in parallel, and what results is critical—the buying community doesn’t receive the message they need or expect from the organization (or brand). You may witness this through lack of engagement. Here you have an abundance of marketing content that is in market, several sales pitches and yet no one is engaging at a volume that matches the effort.

There is a significant gap in communication during the sales process between marketing and sales. Marketing data is not used. Sales is frustrated with support from marketing. Ultimately, the sales and marketing “disconnect” prevents revenue generation from being optimal. There is a critical need for marketers and sales, together, to engage more effectively with their audience, and align on the same value proposition.

Learn More: IDC’s MarketScape Lead Generation Package

image depicting marketing buyer engagment and sales enablement and then one dialogue in between the two streams, that needs to start happening today.

Buyers are simply trying to do two things: 1. explore and evaluate solutions, then 2. purchase and optimize them.  Sales is trying to adapt to selling in this hyper digital world as B2B commerce moves increasingly online. It’s a marketer’s job to understand the buyer’s intent signals as they move along in their journey. While marketers have to activate these buyers at the right time, many will find success when they figure out how best to support their sales teams. Because as you engage your buyer, you are trying to educate them by demonstrating value statements that tie to their pain points and needs. As marketers nurture this type of dialogue digitally, the buyer’s interest in the solution grows and the marketing moves them to a position where an opportunity is created for a discussion with sales. Now sales must keep the promises made in the value statements presented by marketing. If the promises don’t align, or aren’t kept, the relationship is lost.  

A New Marketing and Sales Model

The digital and interpersonal dialogue (marketing and sales) exists to align with the customer journey. In our ACE Framework, we introduce a new customer journey and present a new marketing and sales model, based on IDC’s latest research and deep dive into tech buyers and the transformation of digital marketing. The Adaptive Customer Engagement (ACE) model acknowledges that today’s buyers are digital-first; they are embracing digital channels for more than information gathering. Today’s digital buyers are diving into chat applications to complete buying tasks like getting quotes or attending virtual events.

74% of B2B tech buyers will buy more through eCommerce and work less with an in-person sales representative from here on out.   (source: IDC Perspective. The Digital-First Era Demands a New Marketing and Sales Model: Introducing Adaptive Customer Engagement ACE))

Marketers and sales teams today aren’t talking to just one buyer, they are now talking to an entire buying cohort. In fact, more than a dozen individuals at an organization could have a need, based on their jobs to be done. For the longest time, sales and marketing operated in a linear model, “the funnel”. But it’s not about one person progressing through a linear journey any longer. The funnel lacks customer centricity and is perhaps why marketing and sales have failed to be able to nurture and build relationships among all the members in the buying committee.

The new ACE model was created by IDC because tech buyers expect value-based solutions to their pain points and business outcomes they’re accountable for. To achieve this, there needs to be marketing and sales messaging alignment.

Through this holistic adaptive customer engagement model, you want to be able to have a closed loop relationship with buyers who become clients. Essentially, once those promises made turn into promises kept, you need to be able to measure and articulate the value that you promised. That’s when you achieve the ultimate goal, customer loyalty.

Have a question about this topic and how you can build a customer-centric plan that accounts for sales enablement along the way? Let’s Talk

Introducing a new lead generation service! To make it easier for marketers to gain the most value of their IDC MarketScape and truly drive qualified leads, we have worked with Foundry to create an enticing lead generation package leveraging their media brands that capture proven customer engagements.

Related Resources:

Proactive Approach to Monitoring and Responding to Digital Regulations

In a fast-moving business environment, having actionable information about the external drivers shaping economies in both the short and long term is key to success. New regulations and major policy changes can shake up markets and hurt businesses, while informed and resilient organizations will ride those waves and seize opportunities to become more competitive.

There was a compliance rush when General Data Protection Regulation (GDPR) entered in effect in 2018, with companies looking for last-minute guidance and quick solutions to comply and avoid hefty fines and other legal actions. Unfortunately, most organizations adopted this reactive approach. But others attended to the new requirements in advance — in particular, some tech vendors created new products and services to address this new market created by GDPR.

Since then, the digital economy has become even bigger — according to the World Bank (2022), the digital economy represents 15% of the global economy. Consequently, there has been a proliferation of digital regulations and policies worldwide, with more than 100 countries mirroring GDPR.

And in the EU, dozens of new regulations have been created to address ever-more relevant digital markets. Beyond mapping more than 30 EMEA new or updated regulations, IDC’s EMEA Digital Regulations and Policies Radar examines 10 of the most relevant regulations and policies in EMEA and analyzes their impact on European ICT markets.

10 Key European Digital Regulation & Compliance Developments

 

  1. DORA

The Digital Operational Resilience Act addresses the concerns of a possible systemic risk stemming from the prominent role of critical ICT service providers in the financial industry

  1. DGA

The Data Governance Act is expected to make more data available and facilitate data sharing across sectors and EU countries

  1. AI ACT

The EU Artificial Intelligence Act is a legal framework proposed in response to ethical challenges presented by AI

  1. eIDAS

The EU Electronic Identification Authentication and Signatures Regulation created a Europe-wide legal framework for electronic identification, transactions, and signatures

  1. NIS II

The EU Directive on Security of Network and Information Systems Directive II requires Member States to have in place resilient and effective national cybersecurity regimes.

  1. DMA

The Digital Markets Act is the EU’s legislation to make the digital sector fairer and contestable, it establishes new rules to limit the market power of big online platforms

  1. DSA

The Digital Services Act (DSA) is meant to protect the fundamental rights of EU-based users of digital services and create new opportunities for digital-first businesses

  1. 5G Regulations

All regulations related to 5G network capacity and spectrum allocation

  1. CSRD

The European Commission Corporate Sustainability Reporting Directive mandates large organizations in Europe to report on sustainability standards

  1. EU Chips Act

The “EU Chips Act” is a competition policy aimed at bolstering the regional internal production of semiconductors

 

The European digital regulatory landscape has unique characteristics that must be addressed for a proactive digital regulatory strategy. The many acronyms and complex scenarios derived from the many acts, directives, and policies from the EU can be daunting at first sight, but to future proof your organization, we recommend three actions to proactively approach your digital regulatory strategy:

  • Monitor closely the regulatory landscape to anticipate current and future challenges
  • Link your go-to-market strategy and product development (e.g., adding new features and controls) to upcoming regulatory requirements
  • Work with the tech vendor ecosystem to buy or develop the right technologies to achieve short-term compliance efficiency (via automated compliance software from RegTechs)

Please contact us if you’d like to know more about this research stream, especially if you are a tech vendor interested in developing solutions in the RegTech market or a tech vendor that can be directly impacted by new digital standards in the European market. You can access our new subscription product, featuring European regulations and policies, here European Digital Regulations and Policies Radar (idc.com) or contact Anielle Guedes at anguedes@idc.com.

Sustainability is a mainstream business concern across all industries – fueled by greater scrutiny from stakeholders comprising investors, regulators, customers, and consumers. As business leaders respond to this stakeholder pressure and incorporate sustainability initiatives into broader business strategies, many are looking at ways to address the environmental, social, and governance (ESG) issues with the greatest impact on enterprise value. These business leaders are looking beyond the costs of building and implementing sustainability programs and see an opportunity to create competitive differentiation by increasing operational and financial performance through sustainable transformation.

Operationalizing ESG

In order to comply with regulatory requirements and demonstrate progress on sustainability initiatives, organizations need a technology platform to help automate the capture, curation, analysis, and reporting of ESG data. But, simply reporting information and ‘checking off boxes’ aren’t enough for businesses that seek competitive advantage. They must operationalize ESG.


Operationalizing ESG is the next maturity step for organizations’ sustainability journey and requires a technology-enabled infusion of ESG into every part of the organization.


For organizations to be successful in their sustainability journeys, they need to take a more holistic approach across all material ESG topic areas, including social sustainability. IDC has been tracking a rapid rise in the importance of human and social capital topics, including diversity, equity, and inclusion (DEI), employee well-being, and human rights management and responsible sourcing. And once again, IT and professional services will play a critical role in these sustainability efforts.

IDC’s top 10 predictions for sustainability/ESG are:

  • Prediction 1: By 2024, 80% of G2000 companies will capture their carbon data and report their

Enterprise-wide carbon footprint using quantifiable metrics compared with 50% today.

  • Prediction 2: By 2026, ESG performance will be viewed as a top 3 decision factor for IT equipment purchases and over 50% of RFPs will include metrics regarding carbon emissions, material use, and labor conditions.
  • Prediction 3: By 2025, more than 60% of organizations will require datacenter providers to disclose to them their energy usage, use of renewable energy sources, and recyclable IT equipment.
  • Prediction 4: By 2026, circularity will become a key component of PLM and 60% of organizations will require their IT equipment vendors and partners to provide end-to-end visibility of their sustainability process.
  • Prediction 5: By 2024, 30% of organizations will leverage ESG data management platforms to steer ESG KPIs via a centralized system of record for reporting purposes and real-time operational decision-making support.
  • Prediction 6: By 2027, 25% of G2000 companies will have assigned a chief sustainability officer responsible for meeting their organization’s ESG goals and making ESG-related IT purchasing decisions.
  • Prediction 7: By 2023, ESG performance will become a standard component for third-party risk assessment with 20% of organizations placing greater weight on these risks than security, financial, or operational risks.
  • Prediction 8: By 2025, 40% of ESG services engagements will require a managed services component to better address the long-term nature and intense data needs of sustainable transformation and ESG reporting.
  • Prediction 9: By 2026, 70% of organizations with integrated planning and execution will achieve improved operational efficiencies leading to distinctive business benefit of improved ESG and financial performance.
  • Prediction 10: By 2024, 40% of use cases for sustainability/ESG software worldwide will have a strong focus on social sustainability topics due to organizations’ more integrated approaches to ESG.

Interested in learning more? Watch our on-demand webinar, IDC FutureScape: Worldwide Sustainability/ESG 2023 Predictions.

Marc Dowd, Executive Partner from the IDC Executive Advisory service opened the call by thanking everyone for joining and with some of the Analyst Industry report data. Using extensive research IDC predicts that companies which use process mining tools will be 20% more profitable than their peers who do not use these tools. 

Evidence shows that 74% of organizations which start a process mining project are successful with the implementation.

Lessons Learnt

One leader felt that business tend to love business process mining tools or not use them at all. He said that he had used process mining to get ready for new ERP. 

He found that old ERP system is not a good way to figure out actual processes as this was fine where you had an end-to-end process in a single system, but this became more complex outside of this theoretical view. He hopes that these tools will help figure out actual processes.

Another attendee told the team about a BPM deployment they had begun 4 years ago. He was skeptical of the business benefits of these tools. His organisation found that these tools were too labour intensive to use to accurately define processes. 

The eventual outcome was where the business decided to drop BP tools– but use SAP instead to establish same processes, and procedures.

Marc thanked the attendees for their honesty on successes as well as less successful initiatives as a learning point for the others on the call as these lessons were invaluable.

Success with Process Modelling and ERP

Another attendee spoke about how he had used these business modelling tools for 10 years. The process had started with the idea of moving from internal development systems to SAP and the tools they implemented were to clean up processes taking 5 years of work to clean up business processes in a continuous improvement cycle. 

The CIO spoke of how they worked through but didn’t finish before SAP was introduced. Now after the fact, they are still trying to clean up processes which means they have implemented some of these which are sub optimal into their new ERP system. 

Marc asked about which process intel models the attendees had used. SAP Signavio solutions, which states it “can help you quickly empower your organization with business process transformation” had been used to mine SAP processes but people had issues where the process extended outside the SAP system. 

Managing Non-standard Apps and Processes

Marc opened the floor for the leaders to ask each other for help. One asked, how do you measure how custom developed apps and forms are used?

I Keeling, another IDC Executive Partner, explained that there are a number of tools and techniques available, but the fallback can always be basic manual process mapping and optimization and data flows are a good validation that you have captured everything.

BPM uses

Marc asked the audience, whether you need to model all your processes and how to know what should be modelled? 

A participant commented that they were pitched BPM tools to audit their systems as they needed to know how many issues were being handled as exceptions, rather than as normal processes and therefore costing the business money. They then asked, what is value that people get out of these tools?

Another Digital leader replied they had used business process mapping with ERP systems implemented 20 years ago to find out what parts of system/data was actually still being used by the business and remove redundancy to clean up the system.

Another said it was pitched to the board as a tool to help to find value destroyers and optimize.

The Executive Partners from IDC discussed how combining BPM with AI with automation tools could be used to track SLAs and trigger action.

Rolling out BPM

Some of the CIO’s said they have created a Centre of Excellence around processes within their business which had been successful.

I brought her experience as an ex-CIO to the proceedings and spoke about how she has done BPM using a Lean Six Sigma Black Belt to process map with alternative methods. She did not choose a blanket approach but looked for immediate value and savings. 

In both cases, she has used different approaches to look at ‘procure to pay’, ‘order to cash’ as the first key areas as well as with the data flow for GDPR which has given a good grounding in processes optimization. “For peripheral areas, we asked do we need to have all of these processes. Once we can see them, we can evaluate them” she said. 

It took a few years to work through the key processes across other areas, but reduced wait times, improved SLAs and got great results.

Another CIO agreed. He stated, “We focus on key processes – cash in, cash out, or in operations heavy organization. The focus on key processes is save time/money. He felt that if you try to model all processes, you get lost in the detail. They were now trying to use RPA and UI Path, feeling that maybe process modelling will help the automation.

Different Models

One CIO told us that in their experience with companies, one team is modelling, a different team is working to improve the processes. This didn’t work as well as one team working end-to-end.  

It was also felt that using process tools to help with IT governance to help with business cases for new technology allows you to measure demand better, but this had not been used extensively.

Shaping the Future

Marc posed a question to the leaders, “Is process mining a prerequisite for advanced tech like AI, virtual reality, etc?” 

Another leader said that if we can find a model, all apps become connected, we have a full flow of processes, a full landscape, that will be the main model and we will be able to use it rather than spending time on documentation. He felt it would probably be used more to workflow applications and will control many of the systems in the future, in real time.

Marc commented that while many companies want to automate processes and decisions but often, trust in the data is lacking. The closer you are to a process and related data, the less trust you have in the data, something the IDC Advisory team have worked through with a number of clients based on industry reports.

Marc stated that maybe we are the last generation of leaders who make decisions without data before the processes are fully available and data is available at every point as industries move closer to industries such as manufacturing.

More in Depth Knowledge

A rhetorical question was asked by the audience; how are companies high in the S curve doing? What are they doing in terms of process mining?

Marc mentioned that IDC research with vendors indicates that some process tools will soon be able to write code themselves or make suggestions around optimization based on AI in the near future

Questions were also asked about how process automation and task automation fit in with process mining. It was mooted that a “360 degree” Master Class to look at the best practices in leading companies bringing together knowledge from an Advisory, Analyst, CIO, Business and IT leader perspectives could be planned for 2024 if there is appropriate interest from the Digital Leadership Community. 

I and Marc thanked everyone for their attendance and candid “Chatham House rule” protected discussions and the shared value they bring.

The start of the new year brings many people closer to realizing ways they can improve, perhaps its eating better, or fitting in more time with family and friends. There might be professional resolutions such as meeting more regularly with your boss, connecting with colleagues outside of your department. For IT, cutting back on wasted cloud spending is often high on the list but tends to eventually fall through the cracks, with no resolution to this pattern.

According to Forbes, while executives estimate that 30% of their cloud spending is wasted, at the same time enterprises intend to spend even more on cloud services. Clearly wasteful cloud spending is a recognized yet growing problem that for many continues to go unresolved. As this blog will show, where IT leaders fall short on is not identifying areas of spending that can be improved but implementing a plan of action for cost savings and maintaining it.

To elaborate on cloud costs, there are many tools available from cloud providers and third parties that provide reports and dashboards, and even recommendations about which instances can remove or reduce/enlarge (rightsizing). Tools that provide intelligence can also determine how to use discount options (reserved instances, savings plans, reserved capacity, etc.), how to handle licenses smartly and what to do in application architecture to save costs. And, instances can be disabled when not in use.

In summary these resources provide insight, but knowledge into your spending is only as useful as what you do with it to turn around your spending. And how you act will determine how effective you are at plugging the holes of your spending.

Because of the effort that’s needed its common for IT to plug their holes with patches. Take, for example, disabling instances outside working hours. In theory this is an excellent saving, but instances are part of applications, which in turn are part of chains. And then it may just be the case that data exchange takes place in a chain outside working hours. But also, test teams that are approaching a deadline may sometimes need their environment outside the pre-planned working hours. And if environments are used in the management chain, they must also be available after hours in case of an emergency. Overall savings is easier said than done, mainly because it takes work to get there.

Rightsizing is also more difficult than it seems. Users and administrators are often hesitant about removing capacity; users see their performance decrease, and administrators see the risk that more failures will occur because there is less overcapacity to absorb issues. In the latter case, you must carefully analyze where these issues come from; a mediocre application can benefit from more capacity, but that is not a long-term solution. Remember, if the roof leaks, you can replace the bucket that collects the water with a larger tub, but that too will become full at some point. You’ll eventually need to repair the roof.

Ultimately, you’ll have to move towards an entirely new approach in which you not only have insight into the costs, but also involve users and administrators, so that you can make the right decisions about saving on your cloud costs. This isn’t as daunting or unattainable as it sounds. In our next blog we’ll reveal how some IDC Metri Cloud Economics clients have transformed their cloud spending, so you can see how to get there too.

“Intelligence is a core differentiator.” – UPS

We have to use data to become the utilities company of the future.”– Con Edison

“The science of healthcare has progressed. The business of healthcare has not kept up. Only data and analytics can help our business stay viable.” – Michiana Hematology Oncology

“Our people needed to understand the potential of data.” – Texas Department of Transportation

What do these companies have in common? They have all invested in programs to improve their enterprise intelligence capabilities and have seen success in the form of positive business outcomes. All four were winners in IDC’s 2021 Future Enterprise Best in Future of Intelligence North America Awards, with UPS taking honors as the overall winner, demonstrating strength across all four pillars of enterprise intelligence:

  • Information Synthesis
  • Insights Delivery
  • Collective Learning
  • Data Culture

IDC’s Enterprise Intelligence (EI) benchmarking research shows that enterprise intelligence maturity makes a material difference to business outcomes. Top-quartile EI performers are 2.7x more likely to have experienced strong revenue growth between 2020 and 2022, and 3.6x more likely to have accelerated time to market for new products, services, experiences, and other initiatives.

While organizations that invest in enterprise intelligence will find that they become more digitally resilient, agile, innovative, and dynamic than their peer companies, they must direct those investments across different areas, including:

  • Data platforms to enable more openness, flexibility, scale, and connectivity
  • Pipelines and processes to enable more effective, consistent processing of data to make it “insight-ready”
  • Tools to build and deliver analytics and insights; improve decision-making and action-taking processes; and enhance culture.

The following 10 predictions represent the trends we expect to see across the four pillars of enterprise intelligence:

  • Prediction 1: By 2024, organizations with greater enterprise intelligence will have 5x institutional reaction time, resulting in persistent first-mover advantage in capitalizing on new opportunities.
  • Prediction 2: By the end of 2025, vigilant C-suite leaders of G2000 will invest 40% more on enterprise and market intelligence, helping them counter the recession and slice through the storms of disruption.
  • Prediction 3: By the end of 2024, 30% of enterprises using video surveillance technologies will also be using video data analytics to support operational decision making requiring more oversight.
  • Prediction 4: By 2024, 80% of G2000 companies will increase investment in intelligence about threats/opportunities to local operations posed by external threats such as supply chain disruptions.
  • Prediction 5: 30% of G2000 organizations will fail to deliver on their enterprise intelligence goals by 2026 because they have not centered trusted capabilities in their efforts to develop data culture.
  • Prediction 6: By 2025, real-time intelligence will be leveraged by 90% of G1000 to improve outcomes such as customer experience by using event-streaming technologies.
  • Prediction 7: By 2027, 66% of large enterprises will make major investments in data control plane technologies that can measure the risk inherent in data and reduce risk through security and screening.
  • Prediction 8: By the end of 2025, >50% of G2000 organizations will face penalties if they do not use AI for detection and automatic remediation of data due to growing complexity, volatility, and resource scarcity.
  • Prediction 9: Facing increased demand for enterprise intelligence skills and to meet employee expectations, 70% of G1000 will have formal programs fostering data literacy and upskilling by 2028.
  • Prediction 10: By 2026, 30% of G1000 companies will extend investments in AI infrastructure to performance-intensive computing to solve the most complex problems using HPC-driven simulations to improve outcomes.

Interested in learning more? Watch our on-demand webinar, IDC FutureScape: Worldwide Future of Intelligence 2023 Predictions.

The oil and gas industry is facing the most significant transformation relative to any other sector driven by the global energy transition. A hydrocarbon producing industry seems the least likely to tackle the emissions and environmental challenges related to climate and energy transition, however, over 90% of companies in the oil and gas industry have already made declarations about their plans for net-zero targets, and many have already deployed capital to pursue an energy transition strategy. Global oil and gas firms across the long value chain are looking beyond maximizing profits and incorporating environmental, social, and governance (ESG) metrics into corporate performance assessments.

Originally driven by the United Nations, the energy transition and ESG movement has had substantial momentum propelling oil and gas leaders to engage technology partners to meet accepted global standards. In addition, the SEC’s March 2022 directive on climate change disclosures now mandates a quick transition to investor grade reporting. The O&G industry is among the most scrutinized on the planet. As regulators grapple with the competing interests in energy security and climate change, under investment in capital projects in the last many years, ESG is at the front and center of the discussion. Management teams for corporations are getting the message and steering toward ESG-driven values and metrics that are viewed as “sustainable” in the long term rather than strictly focusing on short-term profits. In the oil and gas energy transition survey, industry leaders cited regulations (or impending regulations) as the key driver to CO2 reductions, while financial return and brand considerations were also factors (see figure 1 below).

Source: Energy Transition Survey, IDC, June 2022

This ever-changing energy sustainability landscape creates additional complexity to an already sophisticated market global market construct. Investments in clean energy sources such as hydrogen, solar, wind, carbon capture, emissions measuring and reporting technologies, and many others will have a significant impact on the oil and gas business model throughout the industry value chain.

Digital will be a key component to many of the industry objectives. Not surprisingly, cost is viewed as a significant hurdle to CO2 reduction plans. The collective view from the industry is that data access as it relates to energy usage and emissions to measure progress is the second leading barrier (see figure 2 below). The increased complexity of the future oil and gas operating model will significantly boost data volumes and data management requirements. Companies with superior digital competencies are likely to be leaders in energy transition.

Source: Energy Transition Survey, IDC, June 2022

Roadmaps to meet company net-zero and energy transition targets, along with motivations for pursuing certain goals vary widely, and many are still in early days. Many market onlookers, and even some industry insiders, question the achievability of some of the targets. This is an industry transformation that has never been faced at this scope to date. Significant uncertainty remains around economics, regulatory changes, technology advancement and many other variable factors of the energy transition movement. Industry leaders view many of these challenges as achievable, but certainly challenging (see figure 3).

Source: Energy Transition Survey, IDC, June 2022

In IDC’s 2022 Oil and Gas Energy Transition survey, we analyze these concepts with oil and gas industry leaders globally. While energy transition is a very broad and complex concept, digital transformation and the advancement of digital technology will be a significant component of the movement. The survey sheds light on the coming changes to the industry business model and significant implications to technology vendors, alike. The future is now for the industry and oil and gas leaders need to embrace the transformation.

To learn more about the Oil and Gas Energy Transition, click the button below to watch a video on the topic. To access the Oil and Gas Energy Transition survey and associated published research, contact your IDC account representative to schedule a 30-minute consultation with me, Andrew Meyers.