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. 

Over the past while, IDC has written a lot about how a global recession and inflation will affect the ICT market.  You might have heard us reference what’s happening as a “storm of disruption.” When you’re seeing investments dry up, leads diminishing, experiencing more supply chain issues, then there’s hardly a better way to describe our current economic situation.  

A potential global recession and the “As-a-Service’ technology market

In the summer, IDC addressed the anticipated effects of a potential recession in the ‘As-a-Service’ technology world. This post puts spending patterns into perspective. The trend is clear; in a world where enterprises have shifted the majority of their IT spend to subscription-based cloud and as-a-service options, targeted reductions in IT spend will look very different, compared to the past.

Today’s skills shortage also makes cutting labor a less than feasible strategy. Positions are hard to fill because of a shortage of people with the right skills, an inability to match flexible work models or salaries are unaffordable. Without being able to hire the right talent, more pressure is put on remaining employees to keep pace with business needs and on leadership to execute business strategies, tactics, and development plans. Economic, geopolitical, and personal disruptions are driving workers to look for opportunities with more flexibility and better pay. Keeping and attracting talent requires deployment of new technology and new skills for both IT and line of business (LOB) employees. 25% of companies surveyed said that hiring for tech roles is very difficult in both IT and LOB. Organizations are taking an average of 3.2 months to find the right talent.When organizations are faced with talent shortages, they see reductions in operational efficiency, profits, employee productivity, customer satisfaction and cost savings. Based on the current outlook, IDC has updated its scenario for worldwide IT spending, accounting for what tech suppliers can expect in 2023. 

Insights for the tech market

It’s more important now, than ever, to take the time to understand the research available, addressing spending pattern shifts, and changing buyer behavior. This is the insight that can fuel your playbook during a very turbulent economic time. In fact, IDC research reveals that buyers are not planning to make wholesale cuts across all tech categories, but they will be selective about where they cut.

“IT spending is expected to grow 4% in 2023…”

Future Enterprise Resiliency & Spending Survey Wave 8, IDC, September 2022.

How to respond to this business disruption and thrive:

  • Get more granular with your research. It’s one thing to understand the macro effect of the recession on your industry, it’s another to drill down and understand your specific buyers, how they are triggered and how they will be allocating their IT budget for services like yours. IDC helps you understand buyer behavior, with a research practice that integrates unparalleled global primary market research, technology market data, and analyst expertise to provide insight into the needs of your technology decision maker.
  • Make smarter GTM decisions by leveraging data and insight when they’re needed. Even in the face of economic uncertainty, limited budgets, and constrained resources, business leaders must still show market growth. IDC’s Data & Analytics Solutions provide data critical for effectively mapping market demand, identifying key customer and partner targets, and positioning and out-performing competitors. Our robust set of modular data products makes it easy to use only what you need and retain budget for other strategic investments in turbulent times.
  • When the economy rebounds, you don’t want to find yourself behind the competition. Continue to make strides with your customers by quantifying your business value. IDC’s Business Value practice helps you by quantifying the value of your solution, then giving you the tools out of that research that build awareness and engagement with your buyers and walks them through an ROI validation process, leaving no question left in their mind as to whether they need your solution.
  • Help your sales teams convey the value of your solutions, rather than resort to product-feature selling, which will not close the business today. We put together this short checklist to help sales teams change their buyer conversations and start value selling.
  • In periods of uncertainty, resiliency and agility are crucial. You need to make decisions, and good decisions should be grounded in custom data, mapped to your business. IDC’s market sizing and assessment framework helps you build a resilient strategic plan to help you navigate today’s business disruptions.

While the news about the economic downturn has weighed heavily upon us, it’s crucial to make decisions based on research, rather than panic. There are tools available that you should be using to drive your decisions, and those tools are grounded in tech market data to help you better understand your specific buyers and markets, navigate your next moves and to enable your sales teams so they can thrive.

While the playbook looks different today, tech companies who suffered less from previous economic storms did so because they adopted agile and flexible planning and work methods. In this way, you can continue to drive your business forward, rather than stand still or retreat.

It’s rapidly becoming apparent that digital transformation (DX) is not a finite destination, but rather a journey. Early DX initiatives were siloed and focused on short term gains. Organizations later scaled these initiatives across the enterprise, with a broader set of long-term goals, Today, organizations are looking at how they can leverage their digital capabilities for new value creation. This includes new operational efficiencies, how an organization engages with customers, how it attracts and retains employees, as well as new digital products and services. At IDC, we are calling organizations in this stage a “digital-first business”.

Because a digital-first business seeks to increase operational efficiency and productivity and improve both customer and employee experiences, these organizations need a new category of technology solutions for managing content. Cloud, artificial intelligence (AI), and new services-based architectures have made the legacy categories of capture, enterprise content management (ECM), content sharing and collaboration (CSC), digital asset management (DAM), and web content management (WCM) obsolete. In reality, these older labels refer to a set of use cases which are all supported by a common library of content services. These application categories made sense in the era of on-premises, standalone monolithic applications, but are cumbersome and inefficient in the context of the modern cloud and services architectures of the digital-first business.

Instead, IDC is proposing a new way to approach the content supply chain— a Unified Content Model that supports a common set of content-related services related to security, governance, archiving, measurement and analysis as well as the tasks to manage the supply chain stages shared by all content applications. The model also recognizes the need for sets of specialized services that may only apply to certain types of content or use cases. These services can be accessed and utilized via low-code/no-code tools to construct solutions for explicit jobs to be done that lead to specific business outcomes. In other words, the job to be done is separate from the supporting “plumbing” underneath. Solutions based on the Unified Content Model will orchestrate the content supply chain throughout the organization.

The Unified Content Model

The Unified Content Model has the following components:

  • Interface to one or more data repositories – Repositories include structured and unstructured data, including text, image, audio, video, QR code assets and atomic componentized content.
  • Measure/Analyze – A library of services to measure the usage and effectiveness of content. There is a closed feedback loop between measurements and the experiences that present jobs to be done.
  • Manage – A set of services that are common to all use cases, including version control, templates, and permissions management.
  • DomainSpecific Metadata Model – Common metadata that is shared across the content supply chain to facilitate interoperability, processing, and personalization.
  • Plan, Produce, Publish, Promote – Categories that correspond to the “verbs” that describe actions performed on content as it traverses the supply chain journey. These are a set of services that may be chosen for a specific job to be done. These activities may be accomplished by a human, a machine, or both.
  • Jobs to be Done – These are the content-centric activities that lead to specific business outcomes. Activities vary widely. Examples include
    • Retain and dispose of documents correctly
    • Execute non-disclosure agreement
    • Collaborate for image review and approval
    • Communicate quarterly financial results
    • Update product pricing information
    • Remove expired licensed materials
    • Stream episodes at a virtual event 
  • Delivery Channel – Content may be delivered via a broad range of channels or edge devices – frequently delivered via more than one – depending on producer and consumer preferences. Content must be responsive and displayed in a manner that is appropriate for the channel.
  • Experience – This layer describes the final recipient of the content. Note that recipients can be humans or technology.
    • Audience App Experience – Consumption/usage by employees, partners citizens, patients, students, accountholders, and other end users
    • Industry App Experience – Consumption/usage by industry users or applications, for example healthcare systems and portals, banking, or insurance policy systems
    • Departmental App Experience – Consumption/usage by the business user or business application, such as enterprise resource management (ERP) or human capital management (HCM)

Benefits of the Unified Content Model

Why should an organization adopt a Unified Content Model? Solutions architected according to the model will increase operational efficiency by eliminating content silos and duplicative applications and/or platforms. This will afford several benefits to organizations:

  • Enforce a common brand and company “voice”
  • Support a 360-degree view of the customer
  • Efficiency in content creation, management and reuse across solutions and applications
  • Scale in using best in class cloud-based services
  • “Future-proof” technology by making it easier to add or substitute services and delivery channels
  • Improve the overall experience for both content producers and content consumers

What the Unified Content Model Means for Organizations

In IDC research early in 2022, 46% of respondents indicated that improving operational efficiencies is the top business objective for content services investments. Of course, organizations can’t scrap existing workflows and related solutions overnight, but as modernization initiatives progress, organizations should adopt the Unified Content Model as a blueprint for that modernization. We are seeing implementations of the model appear in the marketplace as technology vendors leverage the opportunities afforded by cloud computing and services-based architectures to redesign the content repository and open it up for interplay between systems and actions. The value for these vendors comes not from reproducing the “plumbing” of content management but rather in the expertise in tasks of the content supply chain, jobs to be done or applications at the edge.

How to get started? Begin by evaluating your current content-centric workflows, stakeholders and applications asking the following questions:

  • What content is your organization creating and for what purpose? How much of that content is redundant (or worse, uncontrolled)? What content can be (or should be) reused and/or used for multiple purposes?
  • Who is producing, reviewing, approving, delivering the content? In other words, who participates in the content supply chain? What actions must be performed on that content?
  • How is that content updated, revised, retained, redistributed, disposed of?
  • Who (or what) is consuming the content and when? Is similar content consumed at various stages of a relationship or supply chain? What integrations are required with other enterprise systems? What formats are required for delivery at each stage?
  • How are you measuring the use and effectiveness of your content?  Have you established a feedback loop? How do you know what is working and what is not?

Once you answer these questions, develop a plan to architect a solution that maximizes the storage, analysis, management and data descriptors of content based on the Unified Content Model with your developers, vendors and/or partners. Develop a migration and change management strategy to minimize disruption. Proceed down the path to greater content agility and becoming a digital-first business.

For more information on IDC’s research on unified content models, read our perspectives:

Holly Muscolino - Research Vice President, Content and Process Strategies and the Future of Work - IDC

fill bio