Marketing Technology Software Options 2026
- Phil Turton
- 2 hours ago
- 18 min read
Organisations in 2026 face a marketplace of thousands of vendors, overlapping capabilities, shifting vendor strategies, and a wave of AI-powered functionality that is reshaping every category from CRM to content creation. This guide is designed to cut through that complexity.
Whether you are a marketing leader evaluating a new platform, a procurement professional running a formal selection process, or a technology buyer trying to understand the landscape before making a shortlist, this guide gives you a practical overview of the major marketing technology categories, the leading vendors in each, and the key considerations for selection. For a broader view of how to structure a technology selection process, our Enterprise Software Selection Playbook 2026 provides a step-by-step framework that applies across all enterprise technology categories including MarTech.
Marketing technology is not a single category. It spans customer data management, campaign execution, content management, analytics, personalisation, search, social, and a growing number of AI-native tools. This guide organises the landscape into its core segments and covers the vendors most commonly evaluated by UK and international enterprise buyers.
What Is Marketing Technology?
Marketing technology, commonly referred to as MarTech, covers all the software platforms and tools that marketing teams use to plan, execute, measure, and optimise their activities. In an enterprise context, this typically spans platforms for managing customer data, running multi-channel campaigns, creating and managing content, analysing performance, and increasingly, using AI to personalise experiences at scale.
The MarTech landscape has grown dramatically over the past decade. In 2011, Scott Brinker's MarTech Landscape identified fewer than 150 vendors. By the mid-2020s, that number had grown to over 14,000. While the landscape has begun to consolidate at the top end - with larger platforms absorbing specialist capabilities through acquisition - the total number of available tools remains vast. For enterprise buyers, the challenge is not finding options but selecting the right ones.
Understanding the structure of the MarTech stack is a useful starting point. Most enterprise marketing technology environments consist of a core platform layer - typically a CRM, marketing automation platform, or Customer Data Platform - supplemented by best-of-breed tools for specific channels or functions. The IT Procurement Complete Process Guide covers how to approach vendor evaluation in complex, multi-vendor technology environments including MarTech.
Marketing Technology Options
Viewpoint Analysis provides a free 'Longlist Builder' for teams looking at options for their marketing technology stack. Simply answer a few project-based questions, and our AI agent Huey, together with our list of all the global tech vendors, will provide a comprehensive report of all the different technology options that you may wish to consider.
In terms of this blog, we've broken down the MarTech space into the following elements, so please click on the links that are of interest to you:
Customer Relationship Management (CRM)
CRM sits at the centre of most enterprise MarTech stacks. While CRM was historically associated with sales pipeline management, modern CRM platforms have evolved into full commercial operating systems, managing the complete customer lifecycle from lead generation through post-sales engagement. For marketing teams, CRM provides the customer record that drives personalisation, segmentation, and campaign targeting. Selecting the right CRM is often the foundational decision that determines what is possible across the rest of the MarTech stack.
Salesforce Marketing Cloud
is the dominant enterprise marketing platform globally. Built on top of the Salesforce CRM, Marketing Cloud provides tools for email, mobile, social, advertising, journey orchestration, and customer data management. Salesforce has invested heavily in AI through its Einstein and Agentforce capabilities, bringing personalisation, content generation, and predictive analytics directly into the platform. For organisations already running Salesforce for sales or service, Marketing Cloud is a natural extension. For those evaluating from scratch, it offers breadth but comes with significant implementation complexity and cost.
HubSpot
is the leading CRM and marketing platform for mid-market organisations and has made sustained inroads into the lower enterprise segment. HubSpot's strength lies in its ease of use, its tightly integrated suite covering CRM, marketing automation, content management, and service, and its aggressive investment in AI features across the platform. The HubSpot ecosystem is broad, with strong marketplace integrations and a large partner network. For organisations that want an integrated platform without the complexity of Salesforce, HubSpot is one of the most compelling options in 2026.
Microsoft Dynamics 365 Marketing
now marketed as Dynamics 365 Customer Insights - Journeys, is Microsoft's enterprise marketing automation and CRM platform. For organisations already running Microsoft 365, Dynamics 365, or Azure, it offers strong integration advantages and benefits from Microsoft's ongoing Copilot AI investment. It is particularly well suited to B2B marketing in organisations with complex sales cycles, and its integration with LinkedIn through Microsoft ownership gives it a differentiated position for account-based marketing.
Oracle CX Marketing
is Oracle's enterprise marketing suite, covering email, cross-channel campaign management, content marketing, and data management. Oracle's marketing products have historically been most competitive in large enterprise accounts already running Oracle ERP or Oracle CX suite products. The Responsys and Eloqua platforms, both now part of Oracle CX, remain widely used in B2C and B2B enterprise environments respectively.
SAP Emarsys
is SAP's omnichannel customer engagement platform, targeting retail, e-commerce, and consumer goods organisations. Emarsys provides AI-driven personalisation, campaign management, and customer lifecycle marketing across email, mobile, web, and social channels. For organisations running SAP ERP or S/4HANA, Emarsys offers tight integration with commerce and supply chain data that is difficult to replicate with third-party platforms.
If you are looking for CRM technology - take a look at our CRM Technology Selection area to learn lots more about this area.
Marketing Automation
Marketing automation platforms enable organisations to design, execute, and measure multi-channel marketing programmes at scale. The category overlaps significantly with CRM - most modern CRM platforms include automation capabilities - but dedicated marketing automation platforms typically offer greater depth in campaign design, lead nurturing, audience segmentation, and multi-touch attribution. For B2B organisations with long sales cycles, marketing automation is often the engine that drives pipeline generation.
Marketo Engage (Adobe)
is one of the most established enterprise marketing automation platforms and remains a leading choice for B2B organisations with complex nurturing requirements. Now part of the Adobe Experience Cloud, Marketo Engage benefits from integration with Adobe Analytics, Experience Manager, and Real-Time CDP. Its strength lies in sophisticated lead management, account-based marketing, and revenue attribution. The platform has a steeper learning curve than newer alternatives but offers a depth of functionality that is hard to match.
Pardot (Salesforce Account Engagement)
is Salesforce's B2B marketing automation product, tightly integrated with Salesforce CRM. For Salesforce customers running Sales Cloud, Account Engagement provides native CRM data synchronisation, Salesforce-native reporting, and AI-powered lead scoring through Einstein. It is best positioned for organisations with an existing Salesforce investment and B2B marketing requirements.
ActiveCampaign
is a mid-market marketing automation and CRM platform with a strong reputation for ease of use and value for money. It is widely used by growing businesses and smaller enterprise teams that want powerful automation capabilities without the complexity of enterprise-tier platforms. ActiveCampaign has invested in AI-assisted content generation, predictive sending, and automation building, making it one of the more accessible options for teams without dedicated marketing operations resource.
Klaviyo
has emerged as the dominant marketing automation platform for e-commerce and direct-to-consumer brands. Built for high-frequency, data-driven email and SMS marketing, Klaviyo's strength lies in its deep integration with Shopify and other e-commerce platforms, its real-time customer data capabilities, and its AI-powered segmentation and personalisation features. For retail and consumer brands evaluating marketing automation, Klaviyo is consistently one of the first platforms considered.
Customer Data Platforms (CDP)
Customer Data Platforms have become a central component of enterprise marketing architecture. A CDP unifies customer data from multiple sources - transactional, behavioural, and third-party - into a persistent, accessible customer profile that can be used to drive personalisation, segmentation, and campaign targeting across all channels. As third-party cookies continue to deprecate and first-party data strategies become critical, CDPs have moved from a nice-to-have to a strategic priority for enterprise marketing teams. If you are assessing your data strategy as part of a broader technology review, our Technology Matchmaker service can help you identify the right data and marketing technology vendors for your specific environment.
Salesforce Data Cloud
formerly known as Genie, is Salesforce's CDP and data platform layer, designed to unify customer data across the Salesforce ecosystem and beyond. Data Cloud ingests real-time data from multiple sources, resolves customer identity, and makes unified profiles available to Marketing Cloud, Sales Cloud, and Service Cloud. For Salesforce-heavy organisations, it removes significant data silos and enables the kind of real-time personalisation that legacy batch-based marketing approaches cannot support.
Adobe Real-Time CDP
is Adobe's enterprise Customer Data Platform, positioned as a core component of the Adobe Experience Platform. It provides real-time identity resolution, audience segmentation, and profile activation across channels including web, email, paid media, and mobile. Adobe Real-Time CDP is a strong choice for organisations running other Adobe Experience Cloud products, particularly where content personalisation and cross-channel orchestration are priorities.
Segment (Twilio)
is one of the most widely adopted CDPs in the market, particularly popular with technology-forward and digital-native organisations. Segment collects event data from web, mobile, and server-side sources, resolves identities, and routes data to hundreds of downstream tools. Its developer-friendly architecture and extensive integration marketplace make it a strong choice for organisations with technical marketing operations teams.
mParticle
is an enterprise-grade CDP and data infrastructure platform used by many of the world's largest consumer brands. mParticle specialises in real-time data collection, transformation, and activation, with particularly strong capabilities in mobile and app-driven customer environments. It is frequently evaluated alongside Segment by organisations with significant mobile data requirements.
Treasure Data
is an enterprise CDP platform with a strong presence in large enterprise and manufacturing sectors, particularly in APAC. Treasure Data provides unified customer data management, predictive analytics, and audience activation capabilities, with a platform architecture designed for high data volumes and complex integration requirements.
Content Management and Digital Experience Platforms
Content management has evolved from simple website publishing into a complex discipline spanning digital experience management, headless content delivery, personalisation, and increasingly AI-assisted content creation. Digital Experience Platforms (DXPs) combine CMS, personalisation, and commerce capabilities to manage the full customer digital experience. For enterprise organisations managing multiple websites, localised content, and personalised customer journeys, selecting the right content platform is a significant architectural decision.
Adobe Experience Manager (AEM)
is the enterprise standard for digital experience management, used by many of the world's largest brands for web content management, digital asset management, and personalised content delivery. AEM provides deep integration with the Adobe Experience Cloud suite, including Analytics, Target, and Real-Time CDP. It is a powerful but complex platform that typically requires significant implementation investment and ongoing technical resource to operate effectively.
Sitecore
is a leading enterprise DXP with strong capabilities in personalisation, content management, and customer journey orchestration. Sitecore has undergone significant transformation in recent years, moving towards a composable architecture that separates its content, commerce, and personalisation capabilities into individual cloud products. For organisations with complex personalisation requirements and existing Sitecore investment, the transition path to the new architecture is an important evaluation consideration.
Optimizely (formerly Episerver)
is an enterprise DXP combining content management, commerce, and experimentation capabilities. Optimizely is particularly well regarded for its experimentation and A/B testing capabilities, and its content management platform is widely used in the B2B technology sector. The platform's shift towards a composable, headless architecture makes it a strong candidate for organisations wanting flexibility in their front-end technology choices.
Contentful
is a leading headless CMS platform used by organisations that want to manage content centrally and deliver it across multiple digital channels - web, mobile, in-store, and beyond. Contentful's API-first architecture gives development teams maximum flexibility in how content is delivered and displayed. It is widely used by retail, financial services, and technology organisations and integrates with most major MarTech platforms.
Contentstack
is an enterprise headless CMS and composable DXP platform with a strong focus on enterprise content operations. It is frequently evaluated alongside Contentful by organisations requiring robust workflow management, multi-site management, and enterprise-grade governance capabilities. Contentstack has invested in AI-powered content operations features including automated tagging, content recommendations, and translation.
Marketing Analytics and Attribution
Understanding marketing performance - which campaigns, channels, and touchpoints are driving revenue - has always been critical for marketing teams. In 2026, the complexity of the multi-channel customer journey and the deprecation of third-party cookies have made marketing analytics and attribution both more important and more technically challenging. Organisations evaluating analytics platforms should consider how these tools integrate with their broader data and reporting infrastructure. Our Business Intelligence Software Options 2026 guide covers the analytics and BI platforms that sit alongside dedicated marketing analytics tools.
Google Analytics 4 (GA4)
is the most widely deployed web analytics platform globally and the default starting point for most organisations' digital analytics programmes. GA4's event-based data model, cross-device tracking, and integration with Google Ads make it a strong choice for organisations with significant digital advertising spend. For enterprise organisations with complex data governance requirements, the BigQuery export capability provides a path to more sophisticated analytics use cases.
Adobe Analytics
is the enterprise alternative to GA4, offering greater data ownership, more sophisticated segmentation, and tighter integration with the Adobe Experience Cloud. Adobe Analytics is typically evaluated by large enterprise organisations with complex digital analytics requirements, particularly where data governance and privacy compliance are priorities. It commands a significant cost premium over GA4 but provides capabilities that are difficult to replicate with free-tier analytics tools.
Mixpanel
is a product and marketing analytics platform with a strong reputation for user behaviour analytics, funnel analysis, and cohort reporting. It is widely used by SaaS and digital product companies and is increasingly being evaluated by enterprise marketing teams that want deeper behavioural insights than web analytics platforms typically provide.
Rockerbox
is a marketing measurement and attribution platform designed for direct-to-consumer and e-commerce brands navigating the post-cookie, post-iOS14 measurement environment. Rockerbox provides multi-touch attribution, marketing mix modelling, and channel-level performance reporting in a platform designed for marketing operations teams rather than data science teams.
Northbeam
is an AI-powered marketing analytics and attribution platform targeted at e-commerce and DTC brands. It is designed to provide accurate cross-channel attribution in privacy-constrained environments using first-party data and modelling. Northbeam has built a strong reputation with growth-stage and mid-market e-commerce brands looking for more reliable attribution than platforms like GA4 provide in a cookieless environment.
Email, Social Media, and Advertising Technology
The execution layer of the MarTech stack covers the platforms used to deliver campaigns across email, social, and paid channels. While many of these capabilities are embedded within broader marketing automation and CRM platforms, dedicated tools often provide greater depth for organisations with high-volume or specialist requirements. Social media management and paid advertising platforms have also been significantly reshaped by AI, with automated bidding, creative generation, and audience targeting features now standard across most major platforms.
Mailchimp
remains the most widely used email marketing platform globally, particularly among small and mid-market organisations. Its ease of use, strong template library, and growing suite of audience management and automation features make it the default choice for organisations that do not require the depth of an enterprise marketing automation platform. For larger organisations, Mailchimp's enterprise tier now competes more directly with platforms like ActiveCampaign and HubSpot.
Sprinklr
is an enterprise unified customer experience management platform covering social media management, advertising, customer care, and market intelligence. It is one of the most comprehensive platforms for large enterprise organisations managing social presence, community, and customer engagement at scale. Sprinklr is frequently evaluated by brands with significant social media operations and global multi-channel marketing requirements.
Hootsuite
is a widely used social media management platform offering scheduling, publishing, monitoring, and analytics across major social channels. It is positioned primarily at mid-market organisations and enterprise teams that need a manageable, user-friendly platform for social operations without the complexity and cost of enterprise unified CX platforms.
The Trade Desk
is the leading independent demand-side platform (DSP) for programmatic advertising, used by agencies and enterprise marketing teams to buy digital advertising inventory across display, video, audio, and connected TV. The Trade Desk's Unified ID 2.0 initiative has positioned it as a significant player in the post-cookie identity landscape, and its Kokai AI platform brings automated optimisation and forecasting to programmatic campaigns.
LinkedIn Marketing Solutions
is the primary B2B advertising and account-based marketing platform for organisations targeting professional audiences. LinkedIn's targeting capabilities - by job title, seniority, company, industry, and skills - make it uniquely valuable for enterprise B2B marketers. Its integration with Microsoft Dynamics 365 and growing set of lead generation tools make it an increasingly central part of enterprise B2B marketing stacks.
SEO and Search Marketing Technology
Search engine optimisation and paid search have been significantly disrupted by the emergence of AI-generated answers, AI Overviews in Google Search, and conversational search interfaces. In 2026, enterprise marketing teams are navigating a search landscape that rewards credibility, domain authority, and structured content as much as traditional keyword optimisation. For technology vendors specifically, appearing in AI-generated answers and citations is becoming a meaningful channel - this is a topic covered in depth in our AI Visibility Coverage service for technology vendors.
Semrush
is the leading all-in-one SEO and digital marketing intelligence platform, used by marketing teams and agencies worldwide for keyword research, competitive analysis, site auditing, backlink analysis, and content optimisation. Semrush has expanded significantly into content marketing, social media analytics, and paid advertising research, making it one of the most comprehensive platforms for digital marketing intelligence.
Ahrefs
is a leading SEO platform with a strong reputation for backlink analysis, keyword research, and competitive intelligence. Widely used by SEO professionals and content marketing teams, Ahrefs is frequently evaluated alongside Semrush. Its Site Explorer, Content Explorer, and Keywords Explorer tools are considered among the most reliable in the market for link building and organic search strategy.
BrightEdge
is an enterprise SEO and content performance platform designed for large organisations managing extensive web presences across multiple markets and languages. BrightEdge provides keyword tracking, content recommendations, competitive share of voice reporting, and increasingly AI-powered content and search insights. It is one of the most commonly evaluated platforms by enterprise SEO teams in large corporate and e-commerce environments.
Conductor
is an enterprise content and SEO intelligence platform that helps marketing teams identify content opportunities, track search performance, and optimise content at scale. Conductor is frequently positioned as a more content-marketing-oriented alternative to BrightEdge, with strong workflow and collaboration features for content teams working across multiple markets.
AI-Native Marketing Technology
The 2025-2026 period has seen a significant wave of AI-native marketing technology platforms reach enterprise viability. Unlike traditional platforms that have added AI features to existing architectures, AI-native platforms are built from the ground up on generative AI, large language models, and agentic workflows. This section covers the vendors gaining traction with enterprise and mid-market marketing teams specifically because of their AI-first design.
Jasper
is one of the most widely adopted AI content generation platforms for marketing teams, providing AI-assisted copywriting for email, social, blog, ad creative, and long-form content. Jasper has evolved from a writing assistant into a broader AI marketing platform with brand voice controls, multi-channel campaign generation, and integration with major CMS and marketing automation platforms. It is widely used by content and demand generation teams looking to scale content production without proportional headcount growth.
Persado
is an enterprise AI platform focused on the language of marketing - using AI to generate and optimise the emotional and motivational content of marketing messages across email, web, mobile, and paid channels. Persado's platform is used by major financial services, retail, and technology brands to test and optimise message variants at a scale that human copy teams cannot match. Its focus on measurable performance lift from language optimisation differentiates it from general-purpose content generation tools.
Drift (Salesloft)
is a conversational marketing and revenue acceleration platform using AI-powered chatbots and live chat to engage website visitors, qualify leads, and accelerate pipeline. Now part of Salesloft, Drift is widely used in B2B technology companies for website personalisation and conversational lead capture. Its AI capabilities include intent scoring, personalised conversation routing, and meeting scheduling automation.
Mutiny
is an AI-powered website personalisation platform designed for B2B technology companies. Mutiny allows marketing teams to create personalised website experiences for different audience segments - by industry, company size, persona, or account - without engineering resource. It integrates with intent data platforms and CRM systems to serve relevant content and messaging to visitors based on who they are and what they are likely to be interested in.
Synthesia
is an AI video generation platform that allows marketing teams to create professional video content at scale using AI avatars and text-to-video technology. Widely used for product demonstrations, onboarding content, and localised video production, Synthesia removes the production cost barrier for video marketing content. Its ability to generate videos in over 140 languages from a single script makes it particularly valuable for global marketing teams. A detailed profile of Synthesia is available in our
A detailed profile is available in our Who Are Synthesia vendor profile.
6sense
is an account-based marketing and revenue intelligence platform that uses AI and intent data to identify in-market accounts, prioritise outreach, and orchestrate multi-channel marketing programmes. 6sense is widely used by enterprise B2B marketing and sales teams to move beyond MQL-based demand generation towards account-level intelligence and engagement. Its predictive analytics capabilities help marketing teams identify accounts showing buying signals before they formally enter the pipeline.
The MarTech Market in 2026: Key Developments
The marketing technology landscape entering 2026 has been shaped by several significant trends and transactions that buyers should be aware of when evaluating vendors.
Consolidation continues at the top end. The largest MarTech vendors - Salesforce, Adobe, Microsoft, and Oracle - have continued to expand their suites through acquisition, making integrated platform decisions increasingly attractive for enterprise organisations that want to reduce the complexity of managing many point solutions. At the same time, best-of-breed tools continue to outperform suite products in specific capabilities, keeping the case for composable stacks alive.
AI has moved from feature to architecture. Across every MarTech category, AI is no longer a differentiating feature - it is an expected baseline capability. The more significant differentiator in 2026 is how deeply AI is embedded into the platform architecture versus layered on top of a legacy system. Organisations evaluating new platforms should probe vendors on whether AI capabilities are native to the data model and workflow engine or simply a user interface overlay.
First-party data strategy is now a procurement requirement. The continued deprecation of third-party tracking, combined with tightening privacy regulation in the UK and Europe, has made first-party data infrastructure a strategic priority. Platforms that can unify, activate, and govern first-party data are being evaluated with significantly greater urgency than they were three years ago. CDPs and clean room technologies have moved from specialist interest to mainstream consideration.
The search landscape is in transition. Google's AI Overviews, Bing Copilot, and the growing use of ChatGPT and other AI tools as research interfaces are changing how buyers discover and evaluate technology. Enterprise marketing teams are beginning to think about visibility in AI-generated answers as a distinct marketing channel alongside traditional SEO. For technology vendors, this represents both a risk - being excluded from AI-generated shortlists - and an opportunity for those who invest in the right content and credibility signals early.
The vendor landscape for AI-native tools is shifting rapidly. Many of the AI-native MarTech vendors that emerged in 2022 to 2024 are either being acquired by larger platforms, pivoting their positioning, or facing commoditisation pressure as foundation model capabilities improve. Buyers should pay particular attention to vendor financial position, roadmap credibility, and platform differentiation when evaluating AI-native tools.
Our Enterprise Technology Vendor Playbook 2026 provides a useful framework for assessing vendor viability and strategic fit.
How to Select the Right Marketing Technology
Selecting marketing technology is genuinely complex. The landscape is vast, vendor claims are often inflated, and the real costs of implementation, integration, and change management are frequently underestimated. Getting a platform selection wrong in MarTech is particularly costly because marketing systems are deeply embedded in campaign execution and customer experience - replacing them is disruptive and expensive.
The starting point for any marketing technology evaluation should be a clear definition of the business problem being solved, not a review of available platforms. Organisations that start with requirements and work towards vendors consistently make better decisions than those who start with a vendor demo and try to retrofit requirements around it.
Key questions to address before shortlisting include: what specific marketing capabilities does the organisation lack or need to improve, what does the existing MarTech stack look like and what integration requirements will a new platform create, what is the internal technical capability to implement and operate a new platform, and what is the realistic total cost of ownership including implementation, training, and ongoing licensing.
In 2026, buyer organisations should also think carefully about AI capability as part of their requirements. Not all AI features are equal - understanding what problem a specific AI capability solves, how it integrates with your data, and what governance requirements it creates is important. The Enterprise Software Selection Playbook 2026 includes guidance on evaluating AI claims from vendors during a formal selection process.
If you are running a formal selection process and need help structuring requirements, building a vendor shortlist, or running an RFP, our 30-Day Technology Selection service is designed to take organisations from a defined problem to a vendor recommendation in a structured, time-bound process.
Five things to look for when evaluating MarTech vendors Integration depth - how well does the platform connect with your existing CRM, data, and analytics tools? AI architecture - is AI native to the platform data model, or a surface-level feature overlay? First-party data readiness - how does the platform handle consent management, identity resolution, and data governance? Implementation requirements - what is the realistic time and cost to go live, and what internal resource is required? Vendor trajectory - is the vendor investing in the capabilities you need, and is its financial position stable? |
How Viewpoint Analysis Can Help
Viewpoint Analysis is an independent IT industry analyst firm and technology advisor. We work with enterprise and mid-market organisations across the full marketing technology selection journey - from initial market understanding through to vendor shortlisting, RFP design, and final selection. Because we are independent and vendor-neutral, our recommendations are based entirely on your requirements, not on commercial relationships with specific vendors.
Our Technology Matchmaker service is designed for organisations at the start of a marketing technology evaluation who want an expert view on which vendors are worth considering for their specific environment, scale, and requirements. We use our knowledge of the MarTech landscape to produce a structured vendor longlist that saves significant time in the early stages of a selection process.
For organisations further into the process, our Rapid RFI/RFP service provides structured RFI and RFP documentation designed for marketing technology selections, alongside support for evaluating and scoring vendor responses. Our 30-Day Technology Selection service provides end-to-end support for organisations that need to move quickly to a decision.
To find out more or to start a conversation about your marketing technology requirements, visit www.viewpointanalysis.com or request a call.
Start your marketing technology selection Use our free Longlist Builder tool to generate an initial vendor shortlist based on your requirements. Visit www.viewpointanalysis.com/longlist-builder to get started. |
Have we missed anything?
This guide focuses on the major marketing technology platforms used by enterprise and mid-market organisations in the UK and internationally. The MarTech landscape is large and evolving rapidly - if there is a vendor or category you think should be included, or if you would like help assessing whether a specific platform is right for your organisation, please let us know. We will keep this guide updated through 2026.
Want help exploring your marketing technology options?
Visit www.viewpointanalysis.com or contact Viewpoint Analysis to start your marketing technology selection with clarity and confidence.
