The Next Decade of Marketing: 2026 to 2036

Marketing and change have a complicated relationship. Every decade, new tools, techniques, platforms, and strategies emerge. Each one promises to make the funnel simpler, faster, and more measurable. Yet, looking ahead, the biggest shift will not be about technology, format, or channels.

It will be about trust.

This time, the marketing race will be different. The brands that produce the most content or run high-budget campaigns won’t win. Adopting the largest martech stacks will not guarantee success. Success will go to organizations building trust systems. These include AI, proprietary data, buyer empathy, brand voice, governance, and precise measurement of business outcomes. Together, they create relevance before the buyer even speaks to sales.

This is especially true in B2B marketing. In this industry, decisions are complex. Buying committees are larger. There is almost no risk tolerance. Trust is rarely built in one interaction. Buyers are getting smarter. The next decade will challenge marketing leaders more. The question for marketing leaders is whether their organizations are creating more noise or helping buyers make better decisions

The B2B marketing paradox

Clear warning from current market scenarios.

Budget is the critical aspect of every marketing strategy execution. Gartner’s 2025 CMO Spend Survey found that marketing budgets remained flat at 7.7% of overall company revenue. At the same time, Gartner found that 61% of B2B buyers prefer a rep-free buying experience overall, while 73% actively avoid suppliers that send irrelevant outreach.

One more layer gets added to this challenge. Forrester’s research claims 86% of B2B purchases stall during the buying process. And 81% of buyers end up expressing dissatisfaction towards the provider they ultimately choose.

The 2025 CMO study conducted by IBM highlights the organizational side of issues, with just 28% of organizations stating that comprehensive customer experience is owned and effectively aligned across functions.

Signal	What the number tells us	Why it matters for 2026-2036
Marketing budgets remain flat	7.7% of overall company revenue	CMOs cannot rely on more spend to create growth; productivity, intelligence, and precision will matter more.
Buyers want independence	61% of B2B buyers prefer an overall rep-free buying experience	Marketing must help buyers self-educate before sales enters the conversation.
Irrelevance destroys trust	73% of B2B buyers actively avoid suppliers that send irrelevant outreach	Personalization without relevance will become a liability.
Buying journeys are stalling	86% of B2B purchases stall during the buying process	Marketing must reduce decision friction, not simply generate leads.
Buyer satisfaction is weak	81% of buyers are dissatisfied with their chosen providers	The problem is not only acquisition; it is expectation-setting and trust-building.
CX ownership is fragmented	Only 28% of organizations say end-to-end CX is effectively owned and aligned across functions	Trust cannot be built by marketing alone; it requires enterprise alignment.
Collaboration infrastructure is immature	Only 24% say technology platforms support consistent collaboration between business functions	Martech stacks must evolve into connected intelligence systems.
AI governance is still underdeveloped	Only 22% have clear AI guidelines and guardrails for automated decision-making	AI-led marketing will need governance as much as experimentation.
AI visibility is becoming measurable	GEO research shows visibility in generative engine responses can improve by up to 40% in tested conditions	LLMO will become a serious visibility discipline, not a side experiment.

From demand generation to decision enablement

B2B marketing has been built around the principles of demand generation, generating awareness, capturing leads, nurturing prospects, influencing pipeline, and measuring conversion for many years. These principles, however, are no longer sufficient on their own. Buyers will be more informed, more skeptical, and more self-directed over the next decade. Before ever engaging in a discussion with a vendor, buyers will do their due diligence by researching online, consulting peer networks, reviewing analyst content, using review sites, working with AI assistants, attending webinars, joining communities, and engaging internal buying groups.

This evolution in the buyer requires a shift in marketing’s role.

Marketing can no longer exist as a mere campaign engine; marketers now need to become an enablement function for the buyer’s decision-making process. This evolution includes assisting the buyer in identifying problems, comparing vendor options, assessing risks, building internal consensus, and ultimately moving forward with confidence.

Increasingly, buyers are using AI tools to compare vendors, learn categories, summarize reports, build RFPs, explore use cases, and understand complex topics.

It is no longer enough for brands to ask, “Are we showing up in Google?”

The better question is, “Are we shown, are we accurate, trustworthy, and mentioned and cited when buyers ask an AI-based system about our market, our expertise, or our competitor, or about the solution to a problem we address?”

This is why LLMO (Large Language Model Optimization) is an additional priority for brands. LLMO is, at its simplest, the position of improving brand visibility via AI-generated answers based on large language models such as ChatGPT, Gemini, Claude, and Perplexity; however, leadership teams should not treat LLMO as just another marketing term or narrow SEO tactic.

From SEO to LLMO: visibility will become verifiability

Where SEO measured rankings, an emerging discipline called Generative Engine Optimization (GEO) measures whether AI systems surface and cite a brand at all.

The study of GEO has demonstrated that implementing “proven” effective data elements will positively impact a brand’s overall generative engine visibility through performance metrics, including a 40% increase in visibility under specific conditions.

For B2B companies, there are immediate implications as follows:

The brand website must serve as something more than a brochure. It must function as a “structured knowledge base.” Case studies must deliver a clear conclusion; our industry perspective must reflect a strong level of distinction based on our knowledge; executives must share unique, authentic content; it must be exceptionally easy to substantiate claims, and product messaging must be consistent across various channels, such as owned, earned, partner, analyst, and community.

Brand voice will become a governance issue

​The evolving capabilities of generative AI (GenAI) are redefining an organization’s approach to content generation and the marketing world in general. While GenAI can increase speed and efficiency (ideation, researching, personalizing, localizing, and developing campaigns), it also introduces a risk that every marketing leader should take seriously: the risk of dilution of the organization’s brand voice.

An organization’s brand voice is more than just a guideline for tone; it provides an indication of the organization’s judgment. It communicates to the marketplace how the organization views itself, its customer base, how it interprets changes in the marketplace, and whether it has the authority to lead the conversation. This becomes especially important in the B2B space, where (1) the amount of time taken between identifying a need and making a purchase decision may take months (or longer) and (2) the stakes associated with the sale are high.

This is why implementing AI into an organization’s marketing function cannot be done independently of establishing sound governance protocols. A recent IBM CMO study showed that only 22% of businesses have created clear governance policies and guidelines on the use of AI in automating decision-making. This should raise serious concerns among all executive leadership teams.

Looking forward into the coming decade, every organization’s marketing function will need to establish stronger governance policies on content creation, use of data, personalization, automation, and decision-making using AI. However, this does not mean slowing down the pace of innovation; rather, it simply means creating a process that allows for the safety, consistency, and trustworthiness of innovation.

Data will move marketing from reporting to anticipation

For many years, marketing analytics has been focused on reporting, e.g., what performed, what was converted, what played a role in influencing the pipeline, and what created engagement. While these items are still relevant, the future of data-based marketing will be less about the past and more focused on what the markets and customers will likely need in the future.

Marketing leaders will require a system that will assist them in determining what is likely to be needed (next), which accounts are demonstrating relevant intent, where trust is eroding, what messaging has increasing credibility, and which markets are going to shift at an earlier stage than their competition.

SG Analytics’ work with organizations shows that the main obstacle many organizations currently face is not data. They cannot derive actionable intelligence from the available data in a timely, trusted manner. As AI continues to become embedded in marketing workflows, this point will become critical.

Organizations that can transform fragmented insights into connected intelligence will be the organizations that dominate the next ten years.

The CMO: architect of intelligent trust

By the year 2036, the CMO position in the marketplace will need to be vastly transformed from its current application in most organizations today.

While the CMO will continue to have overall responsibility for managing the organization’s brand, demand, understanding of its customers, reputation, and growth, the model in which the organization operates will become much more expansive. The CMO will be the architect of creating intelligent trust by connecting data (inclusive of AI capabilities), brand, content, customers, and commercial outcomes into a cohesive system.

The organizations that earn the trust of their respective customer bases during the next decade will rise to the top.

If customers believe that the most popular brand will help them make sense out of complexity, reduce risk for the decision they are about to undertake, and thus progress with increased confidence in their lives, they will choose that brand against other options.

As a result, the future of marketing will be rooted in trust.

The organizations that win from 2026 to 2036 will not only be visible but verifiable, not only personalized but relevant, not only automated but accountable, and not only present in the marketplace but also facilitate the buyer’s decision-making process.

Ready to build a marketing function that earns trust at every touchpoint? Explore SG Analytics’ marketing analytics services to turn fragmented data into connected intelligence.

About the author

Supriya Dixit is SVP and Head of Global Marketing at SG Analytics, leading AI-first marketing that drives revenue growth, global brand scale, and GTM excellence. Her work sits at the intersection of analytics, technology, and storytelling.
She enjoys traveling, reading, and observing people, and is deeply interested in how AI-driven innovation is reshaping business and everyday human experience.