Journal for Policy & Market Research

The global service marketing landscape is undergoing a profound structural reorientation, characterized by a fundamental shift from the production-centric delivery of intangible outputs toward a holistic, actor-centric model of value co-creation.[1, 2] As the industry approaches the mid-2020s, the conceptual boundaries between products and services continue to dissolve, replaced by a “service-dominant logic” (S-D logic) that posits service—defined as the application of specialized knowledge and skills—as the foundational basis of all economic and social exchange.[2, 3] This paradigm shift is being catalyzed by the rapid maturation of generative artificial intelligence (AI), the integration of immersive technologies such as augmented and virtual reality (AR/VR), and a burgeoning “transformation economy” where the ultimate unit of value is the customer’s self-actualization.[4, 5, 6] Organizations that fail to recognize these second-order effects—where technology does not merely automate tasks but fundamentally alters the ontological relationship between provider and consumer—risk obsolescence in an increasingly “onlife” marketplace.[7, 8]

Theoretical Foundations: The Ascendancy of Service-Dominant Logic

The historical reliance on “goods-dominant logic” (G-D logic), which centers on the production and distribution of “operand” resources—tangible, static items—is being systematically replaced by a framework that prioritizes “operant” resources—dynamic capabilities like employee expertise and technological intelligence.[1, 2] Under G-D logic, value was considered “embedded” in the product during the manufacturing process and “realized” at the point of exchange.[1, 3] Conversely, the emerging S-D logic holds that value is never unilaterally created by the firm; rather, value is co-created through the interaction between the provider, the customer, and other actors within a service ecosystem.[2, 9]

In this newer paradigm, the locus of value moves from “exchange value” to “value-in-use” or “value-in-context”.[1, 9] Value is only realized when the beneficiary integrates the provider’s offering—often a combination of goods, information, and labor—into their own life or business processes.[1, 3] This shift necessitates a deep understanding of the customer’s world, including their specific goals and resource integration habits.[2] Consequently, marketing is reimagined as a collaborative process where the firm “markets with” customers rather than “to” them.[2]

Strategic Component	Goods-Dominant Logic (G-D)	Service-Dominant Logic (S-D)
Primary Unit of Exchange	Tangible Goods	Specialized Competences (Service)
Resource Focus	Operand Resources (Static/Tangible)	Operant Resources (Knowledge/Skills)
Role of the Customer	Passive Recipient/Target	Active Co-creator of Value
Value Determination	Embedded in Product (Exchange)	Determined by Beneficiary (Use-in-Context)
Strategy Goal	Transactional Efficiency	Ecosystem Health & Relationship Quality
Role of Goods	End-Product Output	Distribution Mechanism for Service

Table 1: Paradigmatic Differences between G-D and S-D Logic [1, 2, 3]

The emergence of “service ecosystems” represents a complex evolution of this framework. These ecosystems are self-organizing, self-adjusting systems of resource-integrating actors connected by shared institutional arrangements and mutual value propositions.[1, 7] In such ecosystems, firms no longer “deliver” value; they offer “value propositions” that actors may or may not accept based on their contextual needs.[3, 9] The implications for marketing management are profound: the traditional focus on market share is evolving toward “customer share” and the cultivation of long-term learning relationships.[10, 11]

Technological Transformation: The Era of Generative AI and Automation

By 2025, generative AI (GenAI) has moved from a speculative “buzzword” to an essential enterprise asset.[12] McKinsey reports that 79% of executives believe GenAI will fundamentally transform marketing operations by 2028.[13] This transformation is not merely about increasing efficiency; it is about enabling “AI-augmented marketing,” where human intuition is extended by machine intelligence.[13] Research indicates that marketers who upskill in AI fluency and ethical judgment are expected to command 20–40% higher salaries by 2028, reflecting the premium placed on the ability to bridge brand strategy with algorithmic execution.[13]

The Business Value of AI Integration

The integration of AI into marketing and sales functions is already yielding measurable returns on investment (ROI). McKinsey’s 2025 research notes a 63% performance improvement in content optimization and lead conversion when machine learning is embedded in workflows.[13] AI-driven automation allows teams to move from “repetition to resonance,” eliminating tedious tasks like manual data entry or basic scheduling, which frees humans to focus on high-level strategic decisions.[13, 14]

AI Application Area	Business Metric Improvement	Strategic Implication
Content Optimization	63% Performance Improvement	Move from generic to hyper-personalized content [13]
Lead Conversion	63% Performance Improvement	Predictive modeling for high-value prospects [13]
Campaign ROI	45% Higher ROI	Human-AI collaboration outpaces AI alone [13]
Decision-Making	31% of All Decisions	Data-driven analytics replace intuition [13]
Time Savings	50% Faster Content Drafts	Rapid iteration of thought leadership [14]

Table 2: Impact of Artificial Intelligence on Marketing Performance [13, 14]

Furthermore, the rise of “digital employees” (DEs)—AI-powered chatbots and virtual assistants—is reshaping the service encounter.[15] Academic studies involving over 1,400 participants demonstrate that when the collaboration between a human employee (HE) and a digital employee is made visible to the customer through interdependent behavioral cues, it reinforces perceptions of team cohesiveness and service process fluency.[15] This suggests that the future of service marketing lies not in the “black-box” automation of interactions but in the transparent orchestration of human-machine teams.[15, 16]

The Evolution of the Marketing Mix: From the 7Ps to the 7Is

The traditional 7Ps of the marketing mix—Product, Price, Place, Promotion, People, Process, and Physical Evidence—are being reconstructed into the “7Is,” reflecting the demands of an innovation-driven, digital-first economy.[17] This transformation is necessitated by the blurring of boundaries between physical and digital environments and the increasing agency of the modern consumer.[17, 18]

1. Insightful Product (formerly Product): The focus has shifted to deep audience insights that fuel continuous innovation. Businesses are investing heavily in R&D to offer “mass customization,” ensuring that products are not only relevant but personalized to specific segments.[17]
2. Interactive Promotion (formerly Promotion): Marketing has moved beyond unidirectional advertising. Interactive social media, holographic ads, and 3D hoardings engage the audience as active participants in the brand story.[17]
3. Integrated Placement and Distribution (formerly Place): Distribution channels have become so robust that “place” is reduced to a few clicks. Marketers now focus on a cohesive brand message across all touchpoints, blending online and offline channels seamlessly.[17, 19]
4. Inventive Prices (formerly Price): Pricing is no longer static. Dynamic and flexible strategies adjust prices in real-time based on demand, supply, and customer behavior, maximizing revenue while optimizing inventory.[17]
5. Influencers (formerly People): This evolution emphasizes the role of brand communities and social influencers in fostering long-term engagement. It is about understanding the “people behind the purchase” through social listening.[17]
6. Insights (formerly Process): Processes are no longer just about execution; they are about generating data-driven feedback loops. Marketing automation and CRM tools allow for the real-time optimization of the entire marketing funnel.[17]
7. Impression (formerly Physical Evidence): The goal is to create a lasting mental and emotional resonance. Brand storytelling, design, and packaging are utilized to build strong online and offline communities that transcend the mere physical environment.[17, 20]

Immersive Tech and the Experience Economy

The “Experience Economy,” initially proposed by Pine and Gilmore in 1998, has reached its full maturation in 2025.[21, 22] In this economic model, goods and services are seen as “commoditized,” and businesses must differentiate themselves by staging memorable experiences.[23] The core distinction between a service and an experience is the customer’s perception of time: services focus on “time well saved” (efficiency), while experiences focus on “time well spent” (engagement).[24]

Spatial Computing: AR, VR, and MR in Marketing

The global AR and VR market is projected to reach $856.2 billion by 2031, growing at a CAGR of 41.1%.[25] These immersive technologies allow marketers to craft interactive stories that drive engagement and brand loyalty.[26] Augmented Reality (AR), in particular, has found significant success in reducing friction in the purchasing process through “virtual try-ons” and product visualization.[25, 26, 27]

Technology Type	Market Value (2031 Projected)	Primary Marketing Use Case	Customer Benefit
Augmented Reality (AR)	$856.2 Billion (Total AR/VR)	Virtual product placement (e.g., IKEA Place)	Visualize products in personal space [25, 27]
Virtual Reality (VR)	Included in above	Immersive brand showrooms (e.g., Dyson)	Explore products in 3D environments [26]
Mixed Reality (MR)	Emerging	Collaborative design and training	Real-time digital/physical interaction [25]

Table 3: Immersive Technology Projections and Applications [25, 26]

A critical finding in spatial marketing is the correlation between AR visualization and return rates. Businesses using AR for home visualization (e.g., Amazon’s “View in Your Room”) have seen product return rates drop by 22% to 40%.[26] Furthermore, the integration of AI with VR systems is enabling “hyper-personalized” virtual showrooms. In these environments, AI assistants provide recommendations based on real-time analysis of user behavior, effectively rearranging the virtual store layout based on what the customer views.[28]

The Four Realms of Experience Staging

Effective experience marketing requires an understanding of the four realms of experience: Entertainment, Educational, Escapist, and Esthetic.[23] Each realm is defined by the level of customer participation (passive to active) and the connection with the environment (absorption to immersion).[23]

• Entertainment (Passive/Absorption): The customer takes in the experience as a spectator (e.g., watching a streaming service).[23, 24]
• Educational (Active/Absorption): The customer increases their knowledge or skill through the experience.[23, 24]
• Escapist (Active/Immersion): The customer is fully immersed and plays a part in the experience (e.g., VR gaming or theme parks).[23, 24]
• Esthetic (Passive/Immersion): The customer is immersed in an environment but remains a spectator (e.g., visiting an art gallery or a nature reserve).[23, 24]

A “robust experience” hits the “sweet spot” at the intersection of all four realms, engaging the customer on multiple levels and catering to different learning styles.[23, 24] The staging of these experiences must follow a dramatic structure—Enticing, Entering, Engaging, Exiting, and Extending—to ensure the memory of the event persists long after the transaction is complete.[24]

The Rise of the Transformation Economy: Self-Actualization as the Product

The next evolution in the progression of economic value is the “Transformation Economy”.[6, 29] In this paradigm, goods, services, and even memorable experiences are no longer ends in themselves; they are the raw materials used to guide customers toward their personal aspirations.[4, 30] The “product” in this economy is a better version of the consumer.[5, 6]

Guiding Aspirations to “The New You”

Companies that help people become healthy, wealthy, or wise are effectively in the transformation business.[5] This shift is driven by a marketplace where traditional offerings are no longer sufficient to attract customers who are “clamoring to change”.[10] Key aspirational categories include improving well-being, increasing prosperity, developing knowledge, and finding purpose.[4, 10]

Economy Level	Unit of Value	Business Role	Outcome
Service Economy	Intangible Task	Provider	Client satisfaction
Experience Economy	Memorable Event	Stager	Customer engagement
Transformation Economy	Personal Change	Guide	Individual flourishing

Table 4: The Evolution of Economic Offerings [5, 6, 24]

The transformation economy is exemplified by brands like Noom (health/well-being), Johnnie Walker (lifestyle/aspiration), and the London Business School (knowledge).[4, 10] A critical element that distinguishes transformations from mere experiences is the focus on the “aspirant” (the customer) rather than the “event”.[5] For instance, a silent meditation retreat is marketed as a transformation because the goal is the internal change of the participant, whereas a few days at a luxury resort is marketed as an experience.[5] In the transformation economy, the provider is only successful if the customer achieves their stated goal—an alignment of incentives that is often missing in project-based service models.[5, 14]

Ethical Imperatives, Privacy, and Trust in the Data Age

As personalization becomes more granular, ethical marketing is no longer optional; it is a business imperative.[31] Consumers are increasingly aware of how their data is used, and trust has become a critical currency in a landscape shaped by skepticism and regulatory scrutiny.[31, 32] 76% of consumers report avoiding brands they do not trust with their data, highlighting that ethical data practices are a primary competitive advantage.[33]

The First-Party Data Strategy and Privacy-by-Design

With the sunsetting of third-party cookies, businesses must shift toward collecting data directly from customers with explicit consent.[12, 33] This “first-party data” approach not only ensures compliance with tightening regulations like GDPR but also builds trust by maintaining transparency about data usage.[33] Organizations are increasingly adopting “privacy-by-design,” embedding privacy protocols into every step of the marketing workflow—from data minimization to standardizing consent mechanisms.[33]

Ethical Priority	Strategic Action	Business Impact
Data Transparency	Use clear, plain language for data policies [32]	Increased customer confidence and retention [33]
Consent Management	Obtain explicit opt-in for all communications [34]	Higher engagement and lower churn [33]
Data Minimization	Only collect essential information [33]	Reduced risk and simplified compliance [33]
Ethical AI	Audit algorithms for bias and transparency [32]	Protected brand reputation and inclusivity [34]
Responsible AI	Disclose when content is AI-generated [35]	Credibility as a trusted industry leader [35]

Table 5: Framework for Ethical and Responsible Service Marketing [32, 33, 34]

Furthermore, the “caring turn” in service research suggests that brands must consider the emotional and psychological impact of their messaging.[34, 36] This involves “empathetic marketing,” which seeks to understand the audience’s struggles and values deeply, avoiding manipulative targeting or exploitative practices.[34] Authenticity in this context means being real, responsive, and responsible—owning mistakes publicly and standing by social and environmental commitments.[34, 35]

Sector Analysis: The Future of Specialized Service Markets

The overarching trends in service marketing are manifesting in specialized ways across key sectors, including fintech, telehealth, and subscription entertainment.

Fintech as a Service (FaaS) and Embedded Finance

The FaaS market is projected to grow from $470.94 billion in 2025 to over $906 billion by 2030.[37, 38] This growth is primarily driven by “embedded finance,” where non-financial businesses integrate payments, lending, and banking features directly into their platforms.[38, 39] The Asia Pacific region is expected to experience the highest CAGR during this period, fueled by high digital adoption and a push for financial inclusion in countries like India, China, and Singapore.[37, 38]

The transition toward “digital assets and currencies” is another high-growth segment, as platforms provide the infrastructure for stablecoins, cryptocurrencies, and tokenized assets.[38] Banks are leveraging FaaS to modernize legacy infrastructure and launch digital products faster, allowing them to remain competitive against agile fintech startups without heavy upfront investment.[37, 38]

Telehealth and the Internet of Medical Things (IoMT)

The global telehealth market is forecasted to reach $505.07 billion by 2030, growing at a CAGR of 23.55%.[40] The “hybrid care model,” which blends virtual consultations with in-person care, has become the industry standard, supported by 82% of patients and 83% of providers.[41, 42] The IoMT market—including smart wearables and connected devices—is projected to skyrocket to $588.9 billion by 2030, enabling real-time health tracking and predictive diagnostics.[41]

Telehealth Trend	2030 Market Projection	Strategic Focus
Total Telehealth Market	$505.07 Billion	Access expansion and cost containment [40, 43]
IoMT / Wearables	$588.9 Billion	Chronic care management and data tracking [41]
Teleconsultation	Market Dominant Segment	Improving diagnostic accuracy via AI [40, 42]

Table 6: Telehealth and Medical Service Projections [40, 41]

However, the sector must navigate challenges such as regulatory barriers, cybersecurity risks, and “mistrust of technology”.[41, 42] Addressing these issues requires transparent communication about security measures and a focus on “interoperability” between telemedicine platforms and electronic health records (EHR) to ensure cohesive care management.[41, 42]

The Subscription Economy and Streaming Disruption

The global subscription economy is expected to reach $1.2 trillion by 2030.[44] While digital video services lead this category, they are facing significant disruption from social video platforms and creator-led content.[8, 44] Gen Z and millennials are increasingly turning toward social media for content discovery, with 53% of younger generations reporting that they get better recommendations from creators online than from streaming platforms themselves.[8]

Consumption Trend	Data Point	Implication for Service Providers
Streaming Fatigue	47% of consumers feel they pay too much	Bundling and flexible management are vital [8, 44]
Social Media Dominance	Gen Z spends 54% more time on social than TV	Marketing must shift to creator collaborations [8]
Ad-Supported Growth	45% of Netflix viewing is on ad-tier	Transition from SVOD to hybrid models [8, 45]

Table 7: Consumer Sentiment in the Subscription Entertainment Sector [8, 45]

To combat “subscription fatigue,” providers are moving toward “bundling and aggregations,” offering lower prices for multiple services in a single view.[8, 44] Studios are also adopting generative AI for dubbing, translation, and script evaluation to lower costs and cross language barriers, effectively modernizing their content economics to compete in a hyper-capitalized social video landscape.[8]

Organizational Evolution: The Rise of AI-Native Marketing Teams

The successful implementation of future service marketing strategies requires a radical restructuring of the marketing organization. By 2028, high-performing marketing departments will likely feature “fusion roles” where creativity meets computation.[13] These roles do not replace traditional marketers but extend their capabilities.

• AI Strategist: Aligns AI outputs with brand strategy and ethics, ensuring that automation remains purposeful rather than merely efficient.[13]
• Prompt Engineer / Model Trainer: Customizes LLMs for brand-specific tone and compliance, maintaining brand consistency across massive scales of content.[13]
• Human Experience Designer (HXD): Orchestrates emotional resonance across AI touchpoints, keeping the customer connection alive even in automated environments.[13]
• Data Ethicist: Audits algorithmic decisions for bias and transparency, protecting the brand’s long-term reputation.[13]
• Creative Technologist: Blends storytelling with code and design, powering innovation in immersive and interactive formats.[13]

Organizations that invest in continuous AI training report 41% higher career satisfaction and 52% longer tenure in hybrid roles, suggesting that the “AI-native” organization is not only more efficient but more resilient in terms of human capital.[13]

Academic Horizons: Sustainability, Inclusion, and Service Research Priorities

Current scholarly discourse in the Journal of Service Research and other peer-reviewed publications emphasizes the “twin transition”—the simultaneous digital and sustainable transformation of the marketplace.[18] There is an urgent call for “service sustainability,” where researchers explore how services can be designed to cater to present-day demands without compromising the flourishing of future generations.[15]

The Circular Economy and Service Inclusion

Service research is increasingly focused on the “Circular Economy” (CE), which envisions restorative and waste-free ecosystems.[15] This involves the development of “Circular Business Models” (CBMs), such as “product-service systems” where the emphasis is on reuse, repair, and sharing rather than the linear “take-make-use-dispose” model.[15] Furthermore, there is a burgeoning interest in “service inclusion” for stigmatized consumers, examining how to tailor marketing messages to be truly inclusive rather than just representative.[15]

1. Regenerative Thinking: The shift toward service ecosystems that actively restore environmental and social value.[7]
2. Onlife Agency: The emergence of innovative forms of agency where smart technology learns from, adapts to, and sense-interacts with human actors.[7]
3. Trans-disciplinary Research: Bringing together policymaking, engineering, and resource management to create systemic sustainability in service provision.[15]

These academic priorities reflect a world where “service quality” is being re-examined in the context of hybrid ecosystems, where both AI and humans co-produce outcomes.[16] Scholars are encouraged to look beyond traditional models and investigate contemporary marketplace realities that prioritize human and societal well-being alongside corporate profitability.[16, 46]

Strategic Roadmap for 2030 and Beyond

The future of service marketing is defined by three intersecting forces: the theoretical reorientation of Service-Dominant Logic, the technological revolution of Generative AI and Immersive Reality, and the economic shift toward Personal Transformation. Success in 2030 and beyond will depend on an organization’s ability to navigate these forces with integrity and purpose.

Organizations must move beyond “selling services” to “guiding transformations.” This requires a fundamental rethinking of traditional marketing activities, moving from project-based transactions to relationship-based ecosystems.[2, 14] By embracing the 7Is framework, prioritizing ethical data sovereignty, and fostering AI-human collaboration, firms can position themselves as indispensable partners in their customers’ journey toward self-actualization. In an economy where time and trust are the ultimate commodities, the brands that help their customers become “healthy, wealthy, or wise” will command the greatest value-in-use and secure the most enduring competitive advantage.[4, 5]

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