AI-Enabled CSP Marketing and Sales Solutions

This page previously argued that the marketing and sales third of Gartner's split telecom AI market had no quadrant of its own, and that the best public evidence of who would win it was the specialist that took first place in the Marketing and Sales column of the August 2025 combined evaluation. That argument has now been tested against a published scorecard, and it did not hold. Gartner released the Magic Quadrant for CSP AI-Enabled Marketing and Sales Solutions on 15 September 2026, and the specialist finished as a Visionary, a full band below the four vendors in Leaders.

What replaced it is more useful than the prediction was. The new evaluation is narrow, the criteria weights are published in the same document, and the two criteria Gartner declined to rate tell you more about how this market gets decided than the tier labels do.

The Magic Quadrant for CSP AI-Enabled Marketing and Sales Solutions, and what it scores

The report carries ID G00851980 and runs thirty pages. Pulkit Pandey and Khurram Shahzad are the analysts of record. It scores twelve vendors: four in Leaders, three in Challengers, three in Visionaries, and two in Niche Players. No band is drawn empty.

Gartner's own naming is worth one sentence, because the site's category name follows it. The cover title reads "Magic Quadrant for CSP AI-Enabled Marketing and Sales Solutions," while the caption on the positioning figure inside the same document reads "Magic Quadrant for AI-Enabled CSP Marketing and Sales Solutions." Both spellings appear in one report. The two sibling evaluations the report names in its own guidance reverse the order again, using "AI-Enabled CSP" for the customer experience quadrant and "CSP AI-Enabled" for the revenue management one.

The market definition is narrower than the one this page used to carry. Gartner now defines these products as commercial off-the-shelf software using AI to support CSP marketing and sales operations, either embedded in CSP applications or delivered as industry-agnostic horizontal applications, and explicitly positions them inside the business support systems category. Campaign work covers segmentation, targeting, design, execution, personalization, performance management and cross-sell; sales work covers lead management, opportunity management, partner management, renewals and contract management, account management and sales performance analysis.

Qualifying was not a low bar. A vendor needed customers in at least two Gartner-defined regions and at least two net-new CSP logos in commercial deployment between 1 July 2025 and 30 June 2026, a twelve-month window with a hard date on both ends, which is why several familiar names are absent.

Both marketing criteria carry no weight

The weighting tables are where this chart stops being a list of vendors and starts being an argument. Gartner scores fifteen criteria, seven under Ability to Execute and eight under Completeness of Vision, and four of the fifteen are marked Not Rated. Those four are Marketing Execution, Marketing Strategy, Business Model and Vertical/Industry Strategy.

In a market named for marketing and sales, neither marketing criterion carries any weight at all. Six criteria sit at High: Product or Service, Market Responsiveness and Record, Customer Experience, Market Understanding, Offering Product Strategy, and Innovation. Five sit at Medium: Overall Viability, Sales Execution and Pricing, Operations, Sales Strategy, and Geographic Strategy. Sales, in other words, is scored twice and marketing is scored not at all.

Read that against the leaderboard and the placements stop looking arbitrary. A scorecard weighted this way rewards vendors with a productized suite, a data foundation that spans domains, and the capacity to keep pace with the market's direction of travel. It does not reward a vendor whose advantage is campaign throughput, and it does not reward positioning. Gartner took the two criteria a marketing specialist would most want counted, and left them off the scale.

The document does say what the market is moving toward. Gartner describes a shift from one-size-fits-all business support systems toward specialized AI-enabled offerings for specific tasks, and names agentic automation as the defining trend: marketing agents handling campaign management, segmentation and analytics, sales agents handling lead and opportunity management, configure-price-quote, and B2B sales enablement, and, over the next two years, multiagent systems coordinating task-specific agents with minimal human involvement inside defined autonomy thresholds.

Four Leaders, three of them selling the record underneath

Amdocs, Huawei, Oracle and Salesforce hold the Leaders band, and the composition of that group is the finding. Three of the four sell the system of record underneath the marketing function, not a marketing layer on top of somebody else's.

Amdocs leads on a telco-specific business ontology that standardizes metadata across customer, marketing, sales and billing systems, so that agents work from consistent pricing and definitions rather than from a reconciliation problem. Its aOS agent operating system runs specialized pricing, proposal and support agents in concert, which is the difference between a chat assistant and a process. Gartner's cautions are about the commercial shape rather than the product: a consultative engagement model that lengthens sales cycles, an operational brand that still reads as back office to some buyers, and a total cost of ownership inflated by heavy reliance on professional services.

Huawei brings the Pangu model family, the Pangu Telecom Model as its domain foundation, Ascend compute underneath, and a user insight and prediction layer, aimed at Tier-1 operators running campaigns at real-time scale. The caution is geographic: Gartner notes operating limitations in a few geographies, which for many Western buyers is a qualification question rather than a product question.

Oracle sits on Oracle Communications Digital Business Experience with Oracle AI Services, and its pitch is the unification of front-office customer engagement with billing, catalog and network systems in one stack. Salesforce is the outlier in the group and the most interesting placement, because it is the only Leader without a transactional billing engine. Agentforce for Communications launched in February 2026, and the architecture centers on a real-time customer data engine with zero-copy integration into legacy systems, so that autonomous agents reason over live subscriber context instead of a nightly copy. Gartner's cautions name the cost of that position plainly: a horizontal platform struggles against siloed Tier-1 legacy estates, buyers often still see Salesforce as front-office CRM, and the telco localization work is largely bespoke.

The specialist the last scorecard favored finished as a Visionary

AsiaInfo is a Visionary. Whatever the combined 2025 evaluation established about its standing in the Marketing and Sales column, the narrower 2026 evaluation placed it a full band below the Leaders, alongside Etiya and Tecnotree. The Critical Capabilities result did not transfer to the market it was supposed to predict, and the reason is visible in the cautions.

AsiaInfo's strengths are real and specific. It supports hundreds of millions of subscribers across China Mobile, China Unicom and China Telecom, which is a scale proof few vendors on this chart can match. Its ontology platform models more than 3,000 telecom-specific marketing and sales assets, which is the kind of semantic baseline that makes agent output precise. Its modular assembly framework lets operators build agents on demand. The cautions are equally specific: nearly all of its AI-enabled BSS revenue sits inside Greater China, implementation depends on forward-deployed in-house engineers rather than a partner ecosystem, and deployments across provincial operators need deep custom integration because the underlying CRM and BSS architectures differ.

Etiya arrives from Türkiye with an agentic BSS architecture, metadata management and ontology-driven modeling built in, and a digital twin simulation layer that lets a CSP build customer personas and test campaigns before running them. Tecnotree's low-code platform, its model-as-a-service control plane for routing and auditing AI models, and a TM Forum Diamond Badge covering 59 certified open APIs give it the strongest open-standards position of the three. Its cautions are agentic focus, concentrated on customer value management, marketing and loyalty rather than B2B sales pipeline and contract generation, integration friction against legacy stacks, and thin reference coverage in North America and Western Europe.

The three Challengers own a piece of the transactional stack

Flytxt is the specialist that climbed. It moves from the Niche Player placement this page previously recorded to Challenger, on a causal knowledge fabric that replaces vector-matching retrieval with telecom-specific pretrained models, producing campaign engines whose decisions can be explained and audited. The bulk of its customers are Tier-2 operators with a few Tier-1 accounts in the Middle East, Africa and Asia/Pacific, which is the constraint on the placement rather than the technology.

Comviva pairs BlueMarble BSS with a marketing automation and decisioning suite covering configure-price-quote, commerce, CRM and order management, and sells it as a SaaS layer that integrates data from multiple vendors to optimize campaign yield and prepaid recharge economics. Whale Cloud brings cloud-native BSS and OSS with a local language model engine that runs private models on premises, which matters to operators with data sovereignty obligations, and a semantic layer that pre-integrates transactional data across CRM and billing. Its cautions are the mirror of its strengths: a customer base concentrated in Asia/Pacific, features tuned for one hyperscaler's infrastructure, and bespoke engineering to scale across heavily customized provincial systems.

The two Niche Players made a deliberate choice not to compete as marketing platforms. Beyond Now sells ecosystem orchestration and partner monetization for operators moving into B2B2X models, which is a marketing and sales adjacency rather than a marketing and sales product. Cerillion embeds assistants and agents inside its own systems of record, CRM, product catalogue and convergent charging, rather than shipping a standalone marketing suite. Both are on the chart because the definition admits embedded capability; neither is trying to win the campaign tooling budget.

The peer field was not the roster

The earlier version of this page named six vendors from the dedicated Peer Insights market as the field a future quadrant would likely draw from: C3 AI, Etiya, Google, Huawei, IBM and Freshworks. Of those six, two placed. Huawei is a Leader and Etiya is a Visionary. Google, IBM, C3 AI and Freshworks appear in no band and in neither of the report's honorable mentions.

That is a clean negative result and it is worth stating as one. Peer Insights review volume measures who buyers are evaluating in public. Inclusion in a Magic Quadrant measures two regions and two net-new logos inside a fixed twelve-month window, plus whatever the analysts conclude about client relevance. Those are different questions, and only the second one produces a chart.

Two vendors Gartner named without scoring them

Netcracker is not in the formal evaluation, and the reason is corporate rather than technical. NEC, its parent, acquired CSG in May 2026 and announced that CSG would merge into Netcracker under the unified name. Gartner's position is that the combined product strategy and long-term positioning are still being developed, so there is nothing stable to score. Its guidance to buyers is unusually direct: CIOs considering Netcracker for new strategic investment should get clarity on the intended end state of the combined portfolio, the roadmap for individual products, and the interoperability implications before making long-term commitments, and existing CSG customers should assess what the merger means for them. For an operator mid-contract with CSG, that paragraph is the most consequential passage in the report.

ServiceNow is named as a notable vendor that did not meet the qualifying criteria. Gartner still describes its trajectory: Sales CRM for Telecom and Telecommunications Service Management extend it from back-office IT and network operations into front-office telecom, and Otto for TMT, a vertical AI solution co-developed with NVIDIA, plus its standalone agents, make it, in Gartner's phrasing, a contender for inclusion in future iterations. The vendor that did not qualify this year is the one named as arriving next.

What the split still owes the buyer

One market of the three now has its own quadrant. The other two do not. The report's own Context section instructs CIOs to review the forthcoming Magic Quadrant for AI-Enabled CSP Customer Experience and Journey Operations and the Magic Quadrant for CSP AI-Enabled Revenue Management Solutions for vendors that did not meet this evaluation's inclusion criteria but offer AI across business support systems. As of publication, neither had appeared.

That leaves the split in an awkward middle state. The marketing and sales slice is now scored on a narrow definition with published weights. The other two are still described by reference to a combined 2025 evaluation that no longer matches how Gartner has drawn the boundaries, and a vendor with a strong combined placement has no way to know what it is worth under either new name until the second and third charts publish.

Four questions now that one of the three has published

Which of the two unrated criteria should you be scoring yourself? Gartner assigned no weight to Marketing Execution or Marketing Strategy. If your business case rests on campaign throughput or on positioning, you are optimizing for something the analyst deliberately left off the scale, and you should ask the vendor to prove it without the chart's help.

Is the data foundation yours or the vendor's? Six criteria carry High weight, and the Leaders' pitches are all data-foundation pitches: a telco ontology, a domain model, a unified commercial stack, a real-time customer profile. A marketing layer sitting on somebody else's data layer is the position the weighting penalizes.

Does the vendor's geography change your risk? China concentration and geographic operating limits appear as cautions against three of the twelve, and thin coverage outside emerging markets appears against several more. That is not a product judgment, but it is a delivery judgment, and it belongs in the evaluation before the demos.

Where does your incumbent sit in the other two quadrants? Two of the three markets are still unscored, and a vendor's placement here says nothing about its position in customer experience or revenue management. If you are consolidating on one supplier across all three, you are making that decision on one chart out of three.

Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner's research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.

See also Autonomous Operations Platforms for CSP Networks. The market's own name change promises zero-touch telecom networks, but its mandatory feature list, inventory, provisioning, activation, is still two rungs below the autonomy the rebrand advertises.