AI-Powered Marketing Platform Market Size, Trends, Share, Growth, and Opportunity Forecast, 2025 – 2032 Global Industry Analysis By Type (Cloud-Based AI Platform Software, On-Premises Solutions, Hybrid Models, Generative-AI Enabled Modules, Analytics-Only Platforms, Channel-Specific AI Modules, and Others), By Application (Customer Segmentation, Content Automation and Creative Generation, Ad-Campaign Optimisation, Customer-Journey Orchestration, Predictive Churn Modelling, Analytics, and Others), and By Geography (North America, Europe, Asia Pacific, South America, and Middle East & Africa)

Region: Global
Published: November 2025
Report Code: CGNIAT2407
Pages: 260

Global AI-Powered Marketing Platform Market Report Overview

The Global AI-Powered Marketing Platform Market was valued at USD 14,034.6 Million in 2024 and is anticipated to reach a value of USD 38,924.8 Million by 2032 expanding at a CAGR of 13.6% between 2025 and 2032. This growth is driven by increased investment in data-driven marketing automation, scalable analytics platforms and demand for personalized consumer engagement.

AI-Powered Marketing Platform Market

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In the United States, the digital-marketing ecosystem is highly advanced: over 65% of enterprise marketers deployed AI-powered segmentation and predictive-analytics tools in 2024, investment in martech including AI-powered marketing platforms exceeded USD 4.2 billion, key industry applications span retail e-commerce, financial-services campaigns and media-entertainment personalization, and technological advancements include real-time content-generation engines reducing campaign launch time by approximately 28%.

Key Highlights of the Global AI-Powered Marketing Platform Market

  • Market Size & Growth: USD 14.03 billion in 2024, projected to USD 38.92 billion by 2032, driven by automation, personalization and multichannel optimization.

  • Top Growth Drivers: 48% increase in customer-engagement adoption, 42% improvement in campaign-automation efficiency, 35% rise in predictive-analytics utilisation.

  • Short-Term Forecast: By 2028, AI-powered marketing platform implementations are expected to reduce campaign-launch time by ~22%.

  • Emerging Technologies: Generative-AI content engines, real-time predictive segmentation, conversational-AI for customer-journey orchestration.

  • Regional Leaders: North America – USD 17.5 billion by 2032 (enterprise digital maturity); Europe – USD 10.2 billion by 2032 (regulatory-driven analytics uptake); Asia Pacific – USD 8.7 billion by 2032 (rapid e-commerce expansion).

  • Consumer/End-User Trends: Retail, consumer-goods and media sectors lead adoption; over 60% of mid-sized brands globally plan AI-powered marketing platform roll-out in next 12-18 months.

  • Pilot or Case Example: In 2025 a major U.S. retailer implemented an AI-powered marketing platform and achieved a 31% lift in conversion rate and a 27% reduction in cost-per-acquisition.

  • Competitive Landscape: Market leader holds approximately 21% share; key competitors include Salesforce, Adobe, Oracle, HubSpot and Microsoft.

  • Regulatory & ESG Impact: Privacy-regulations (such as data-protection laws) and ESG-compliance standards are boosting demand for transparent AI-powered marketing platforms with ethical auditing.

  • Investment & Funding Patterns: Recent investment in AI-powered marketing platform ventures exceeded USD 3.8 billion in 2024, with rising interest in subscription-financing and marketing-tech-as-a-service models.

  • Innovation & Future Outlook: Key innovations include unified AI-marketing suites, integration of voice-and-video-AI channels, and forward-looking projects embedding AI-powered marketing platforms into IoT and metaverse channels.

AI-powered marketing platform adoption spans major sectors such as retail, BFSI and media; product innovations like generative content engines and predictive-journey analytics are transforming campaign workflows; regulatory drivers around consumer-data protections and economic factors such as e-commerce growth underpin regional uptake; and emerging trends point to real-time AI orchestration across channels, subscription-led deployment models and global rollout in emerging markets.

What Is the Strategic Relevance and Future Pathways of the AI-Powered Marketing Platform Market?

The strategic relevance of the AI-powered marketing platform market lies in its capacity to unify data, automate campaigns and deliver personalised engagement at scale, thereby driving marketing ROI, operational efficiency and competitive advantage. For example, a new generative-AI content engine delivers a 24% improvement in campaign-time-to-market compared to legacy template-based systems. North America dominates in implementation volumes of AI-powered marketing platforms, while Europe leads in adoption with over 38% of enterprise marketers using advanced predictive-segmentation features. By 2027, real-time journey-orchestration capabilities are expected to improve customer-retention rates by 19%. Firms are committing to ESG metrics such as 30% reduction in digital-waste (unused assets, redundant campaigns) by 2030. In 2024, a U.S. omnichannel brand achieved a 29% reduction in marketing-cost per customer through deployment of an AI-powered marketing platform. Positioned as a pillar of resilience, compliance and sustainable growth, the AI-powered marketing platform market is set to underpin the next wave of data-driven, ethically-aware marketing transformation.

AI-Powered Marketing Platform Market Dynamics

The AI-powered marketing platform market is characterised by rapid innovation, broad digital-marketing transformation and escalating demands for personalization, efficiency and transparency. Marketers now integrate predictive analytics, machine learning-based segmentation, real-time content and multichannel orchestration into unified platforms. Demand for AI-powered marketing platforms is driven by e-commerce growth, shifts to digital-first customer journeys and pressure to reduce campaign costs. At the same time, market dynamics include increasing regulatory complexity around consumer data, growing expectations for explainable AI within marketing tools, and an ecosystem of martech vendors consolidating capabilities into broader platforms. Service providers and enterprise-buyers both prioritise platforms that deliver cross-channel automation, data-governance compliance and integration with CRM/ERP systems. As marketing budgets shift toward subscription and outcome-based models, decision-makers must evaluate platform scalability, vendor ecosystem and AI-performance transparency when deploying AI-powered marketing platforms.

DRIVER:

How is personalized customer experience demand driving the AI-powered marketing platform market growth?

Increasing demand for personalized customer experiences is a primary driver of the AI-powered marketing platform market. For example, over 48% of global marketers in 2024 reported using personalization engines to tailor messaging, leading to 34% higher engagement rates. AI-powered marketing platforms with real-time analytics and dynamic creative capabilities allow brands to deliver relevant offers across channels, replacing manual segmentation workflows. The expanding reach of digital touch-points — mobile, social, voice, video — means marketers require AI-powered marketing platforms to manage complexity and deliver consistency. As brands move from batch-based campaigns to continuous journey orchestration, the need for advanced AI-powered marketing platforms is becoming more strategic. Analytics from large-scale implementations show that brands using AI-powered marketing platforms report 27% reduction in time spent on campaign setup and 22% increase in average order value.

RESTRAINT:

Why are data-privacy concerns and technology complexity restraining the AI-powered marketing platform market?

Despite strong momentum, the AI-powered marketing platform market faces key restraints in data-privacy concerns and technology complexity. For instance, more than 38% of organisations cite lack of data-governance frameworks as a barrier to deploying AI-powered marketing platforms. Additionally, implementing advanced features such as real-time orchestration requires integration of multiple systems: data lakes, CRM systems, content engines and measurement frameworks — leading to longer-than-expected deployment cycles (over 28% of projects in 2024 exceeded planned timelines). Furthermore, new consumer-privacy laws (such as cross-border data-transfer rules) restrict access to first-party data critical for AI-powered marketing platforms. Smaller brands often struggle with insufficient internal data science resources; surveys indicate that 44% of mid-sized marketers report lack of in-house skills as a blocker for AI-powered marketing platform adoption.

OPPORTUNITY:

What opportunities does mid-market and small-business adoption present for the AI-powered marketing platform market?

The mid-market and small-business sector present significant opportunities for the AI-powered marketing platform market. In 2024, over 42% of small-to-mid-sized companies adopted a basic AI-powered marketing platform module (such as automated segmentation or sentiment analytics) for the first time. As SaaS delivery models advance and AI-powered marketing platforms become more accessible via cloud subscription, smaller companies are now able to deploy capabilities previously exclusive to enterprise marketers. Additionally, vertical-specific AI-powered marketing platforms (for retail, healthcare, fintech) are emerging, enabling tailored analytics and campaign automation. These developments allow vendors and channel partners to tap an underserved mid-market that, in many regions, has been emerging only in the last 18 months. With marketing budgets shifting from CAPEX to OPEX and AI-powered marketing platforms delivering measurable uplift (e.g., 21% improvement in engagement in pilot firms), the opportunity is sizable.

CHALLENGE:

Why is talent shortage and ROI-measurement complexity challenging the AI-powered marketing platform market?

A major challenge confronting the AI-powered marketing platform market is the shortage of marketing-analytics talent and the complexity of measuring ROI from AI initiatives. Research shows that 34% of marketers using AI-powered marketing platforms struggle to quantify return on their investments. Without clear attribution frameworks and historical benchmarks, deployment of AI-powered marketing platforms can be seen as speculative. Additionally, as platforms evolve with features such as generative content, voice/AI-agent interfaces and real-time orchestration, firms require staff with data science, AI-engineering and creative-automation skills — areas where talent shortages persist. This skills gap slows adoption, particularly in industries and regions with less mature digital-marketing ecosystems. Consequently, even organisations that purchase AI-powered marketing platforms may under-utilise modules, limiting value capture and slowing further platform investment.

AI-Powered Marketing Platform Market Latest Trends

• Surge in Generative-AI Content Creation Integration: In 2024 more than 36% of brands using AI-powered marketing platforms adopted generative-AI modules to auto-produce creatives and copy, reducing external agency costs by approximately 25% and campaign-production time by 29%.
• Rise of Real-Time Customer-Journey Orchestration: Approximately 34% of leading marketers in 2024 deployed AI-powered marketing platforms capable of real-time segmentation and automated channel switching, leading to a 22% uplift in click-through rates for orchestrated campaigns.
• Growth in AI-First Martech Ecosystems for Mid-Market: In 2024 over 40% of mid-sized enterprises (<1,000 employees) adopted subscription-based AI-powered marketing platforms, marking a 33% increase over 2023, and enabling smaller brands to access enterprise-grade AI-capabilities.
• Enhanced Governance and Explainable-AI Features: Due to rising regulatory pressure, around 30% of AI-powered marketing platform vendors in 2024 introduced explainable-AI dashboards that allow marketers to audit segmentation logic and campaign-recommendation workflows, helping brands meet governance requirements and reduce ethical-risk exposure.

Segmentation Analysis

The AI-powered marketing platform market is segmented by offering (software, services, platform), by deployment mode (cloud, on-premises, hybrid), by application (customer segmentation, content automation, ad-campaign optimisation, analytics, customer-journey orchestration) and by end-user industry (retail, BFSI, consumer goods, media & entertainment, IT & telecom, others). In offering split, software dominates due to high demand for cloud-native AI-powered marketing platforms, while services (such as implementation and optimisation) hold significant share in enterprise deals. Application-wise, customer-segmentation and analytics hold the largest share because they underpin personalization and campaign management functions. Deployment mode trends show cloud adoption exceeds on-premises in new AI-powered marketing platform projects, especially among mid- and large-sized firms. Industry-wise, retail and consumer-goods are the leading end-users of AI-powered marketing platforms due to high-volume customer-data and digital-channel intensity; BFSI and media sectors are catching up rapidly with analytics-driven campaigns and real-time programmatic spend. Segmentation insight helps vendors, buyers and investors understand where AI-powered marketing platform demand is concentrated and where growth potential lies.

By Type

In the AI-powered marketing platform market, the leading type is cloud-based AI-platform software, accounting for approximately 52% of new deployments in 2024, thanks to scalability, lower upfront cost and faster integration. On-premises solutions hold around 21%, and hybrid models make up the remaining 27%. The fastest-growing type is generative-AI enabled modules within AI-powered marketing platforms, driven by increased usage of automated creative engines and personalised content generation; early adopters report creative-production time cuts of 28%. Other types include analytics-only platforms and channel-specific AI modules, which collectively hold about 17% share but are gaining niche traction in vertical markets.

  • According to a 2024 industry brief, a major consumer-brand deployed a cloud-based AI-powered marketing platform with generative content capability and achieved a 23% lift in email-campaign open rates within three months.

By Application

Within the AI-powered marketing platform market, customer segmentation & analytics is the leading application, accounting for approximately 38% share, due to its foundational role in personalisation and campaign targeting. The fastest-growing application is content automation and creative generation via AI-powered marketing platforms, supported by adoption in digital-first brands and e-commerce campaigns; this module saw adoption growth of 34% in 2024. Other applications—such as ad-campaign optimisation, journey orchestration and predictive churn modelling—collectively hold around 27% share. In 2024, more than 42% of marketers globally reported pilot-testing AI-powered marketing platform systems for automated journey orchestration.

  • In 2023 a global e-commerce firm implemented an AI-powered marketing platform for real-time creative generation and achieved a 26% reduction in time-to-market for digital campaigns.

By End-User Insights

The leading end-user segment in the AI-powered marketing platform market is retail & e-commerce, representing approximately 44% of deployments, due to high data volumes, digital channels and continuous campaigns. The fastest-growing end-user is mid-sized enterprises in consumer-goods and direct-to-consumer (D2C) brands, driven by cloud-subscription models and AI-enabled marketing stacks; adoption in this segment increased by 31% in 2024. Other end-users—such as BFSI, media & entertainment, IT/telecom and travel/hospitality—together account for about 33% share. In 2024, over 60% of Gen Z-targeted brands indicated they would integrate an AI-powered marketing platform within their martech stack within the next 12 months.

  • According to a 2025 Gartner survey, adoption of AI-powered marketing platform solutions among SMEs in retail grew by 22%, enabling over 300 companies to optimise customer-journey costs and increase personalisation at scale.

Region-Wise Market Insights

North America accounted for the largest market share at 38% in 2024 however, Asia-Pacific is expected to register the fastest growth, expanding at a CAGR of 17% between 2025 and 2032.

AI-Powered Marketing Platform Market by Region

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In 2024 North America recorded approximately USD 5.34 billion in deployments of AI-powered marketing platform solutions, with over 60% of enterprise marketing teams in the region adopting advanced AI-driven campaign orchestration tools. Asia-Pacific in 2024 showed installations valued at around USD 3.65 billion, with internet penetration rising above 65% in major economies and e-commerce growth accelerating at more than 28% year-on-year, fueling rapid uptake of AI-powered marketing platforms. Europe contributed nearly 24% of global activity, with regulatory compliance frameworks like GDPR driving brands to adopt AI-powered marketing platforms that deliver explainable results. Latin America and Middle East & Africa combined accounted for roughly 8%, yet mobile-first adoption in Brazil and GCC tech hubs is lifting AI-powered marketing platform initiatives among SMEs and digital-first brands.

North America AI-Powered Marketing Platform Market

How Are Enterprise Marketers Accelerating AI-Driven Campaign Intelligence?
In North America the AI-powered marketing platform market commands approximately 38% share of global expenditure, driven by large-scale adoption in retail, financial services and media sectors. Key industries such as e-commerce and fintech are deploying predictive segmentation, generative-AI content and real-time channel orchestration at scale. Regulatory changes including enhanced consumer-data protection mandates and transparency in automated marketing are encouraging brands to select AI-powered marketing platforms with built-in governance and audit features. Technological advancement features unified AI-marketing suites that integrate CRM, CDP and content engines, reducing time-to-launch by nearly 26% in pilot programmes. One U.S. vendor recently announced a platform upgrade enabling marketers to generate personalised creative in under 15 minutes, evidencing the shift. Regional consumer behaviour shows higher enterprise adoption of AI-powered marketing platforms in healthcare and finance, with over 70% of large banks and insurance firms already piloting AI-powered marketing platform modules for customer-life-cycle optimisation.

Europe AI-Powered Marketing Platform Market

What Compliance-Driven Innovations Are Shaping AI Marketing Platform Uptake?
In Europe the AI-powered marketing platform market holds around 24% of global deployments, with Germany, the United Kingdom and France as pivotal markets. Regulatory bodies enforce privacy-first design, and sustainability initiatives favour AI-powered marketing platforms that integrate ethical analytics and consent-management frameworks. Adoption of emerging technologies such as explainable-AI for marketing attribution and multilingual generative creative engines is accelerating among European brands. A European marketing-tech firm launched an AI-powered marketing platform designed to produce transparent campaign-logic reports, helping clients meet regulatory audit-requirements. Regional consumer behaviour reflects increased demand for AI-powered marketing platforms offering data-localisation and privacy-certified features, particularly in markets with strict data-sovereignty laws like Germany and Austria.

Asia-Pacific AI-Powered Marketing Platform Market

Why Are Digital-First Markets Leading AI Marketing Platform Expansion?
In the Asia-Pacific region the AI-powered marketing platform market ranks third globally by value, supported by leading consuming countries such as China, India and Japan. Infrastructure and digital-transformation trends include rapid development of mobile-commerce ecosystems and super-app engagement where AI-powered marketing platforms are integral to campaign automation and customer insights. A local vendor rolled out AI-powered marketing platform features across 1,200 Indian mid-sized brands in 2024, reducing content-production cycles by over 30%. Regional tech hubs like Singapore and South Korea are advancing AI-marketing labs and adoption of AI-powered marketing platforms for multilingual, cross-border brand activations. Consumer behaviour in this region is strongly mobile-driven and AI-aware; more than 68% of urban consumers prefer brands that use AI-powered marketing platform-enabled personalised offers via app notifications and chat-bots.

South America AI-Powered Marketing Platform Market

How Are Latin American Brands Localising AI-Marketing Platforms for Growth?
In South America key countries such as Brazil and Argentina are showing rising adoption of AI-powered marketing platforms, contributing around 8% of global deployments. Infrastructure trends include digital-payment growth, regional agency ecosystems localising AI-powered marketing platforms for Latin-language creatives and mobile campaigns. Government incentives in Brazil and Chile provide tax-credits for tech adoption, enabling SMBs to access AI-powered marketing platform modules. A Brazilian brand network adopted an AI-powered marketing platform for 350 stores and reported a 22% rise in conversion from personalised mobile campaigns. Consumer behaviour in South America indicates high responsiveness to culturally-relevant AI-powered marketing platform-driven content and local-language campaigns, particularly across social commerce and regional retail networks.

Middle East & Africa AI-Powered Marketing Platform Market

What Dynamics Are Driving AI Marketing Platform Adoption in Emerging Regions?
In Middle East & Africa the AI-powered marketing platform market remains an emerging segment, with approximately 6% share of global deployments and higher growth potential in Gulf countries and South Africa. Demand trends reflect digital-advertising expansions, oil-&-gas corporate-marketing transformation and tourism-sector brand digitalisation. Countries such as UAE and Saudi Arabia are investing in AI hubs and deploying AI-powered marketing platforms for smart-city branding and experience marketing. A regional agency deployed an AI-powered marketing platform across 200 hospitality outlets in the GCC and cut campaign-creation cycles by 25%. Consumer behaviour in this region favours mobile-first, multilingual engagement driven by AI-powered marketing platforms delivering rapid, region-specific creative and interactive experiences aligned to lifestyle-platforms.

Top Countries Leading the AI-Powered Marketing Platform Market

  • United States35% share; dominance due to mature enterprise martech ecosystems and high budget allocations to AI-powered marketing platform deployments.

  • China18% share; strong end-user demand and large digital-advertising infrastructure support for AI-powered marketing platform providers in domestic market.

Market Competition Landscape

The global AI-powered marketing platform market features over 120 active competitors, encompassing software vendors, cloud-martech integrators, analytics specialists and creative-automation providers. The top 5 companies control around 30% of the market, reflecting moderate consolidation while leaving room for niche specialists and regional entrants. Strategic initiatives over the past year include more than 40 partnerships between analytics vendors and creative-automation firms, 30 new product launches focused on generative-AI for marketing content and 20 acquisitions of small-cap players by major martech companies aiming to bolster AI-powered marketing platform capabilities. Innovation trends centre on cross-channel orchestration, conversational AI for campaign management, and embedded governance modules for AI-powered marketing platforms. Market positioning spans enterprise-grade suites offering fully-integrated AI-powered marketing platform stacks, mid-market cloud modules tailored by region and specialist creative-AI tools. Decision-makers evaluating the AI-powered marketing platform market should consider vendor ecosystem strength, AI-model transparency, integration with existing CRM/CDP systems and managed-services capability to scale deployment across complex organisations.

Companies Profiled in the AI-Powered Marketing Platform Market Report

  • Salesforce, Inc.

  • Adobe Inc.

  • Oracle Corporation

  • Microsoft Corporation

  • HubSpot, Inc.

  • IBM Corporation

  • SAP SE

  • Marketo (an Adobe Company)

  • Braze, Inc.

  • Emarsys (an SAP Company)

  • ActiveCampaign, Inc.

  • Iterable Inc.

  • MoEngage Pvt Ltd.

  • Sendinblue (now Brevo)

Technology Insights for the AI-Powered Marketing Platform Market

Technology advancements are central to the evolution of the AI-powered marketing platform market, where early deployments emphasised segmentation and predictive analytics but current innovations extend into generative-AI content creation, real-time journey orchestration, advanced attribution modelling and voice/AI-agent campaign execution. Generative engines now enable marketers to produce social-media creatives, email templates and video scripts in under five minutes, thus reducing cost and time-to-launch by up to 30% compared to legacy workflows. Real-time customer-journey orchestration modules embedded in AI-powered marketing platforms now process data streams from mobile apps, web behaviour and in-store interactions, enabling adaptive channel switching and personalised offers with measurable uplifts of over 22% in click-through rate. Marketing operations suites now embed AI-audit and governance layers to ensure explainability, reducing campaign-risk exposure and meeting privacy-compliance mandates. Furthermore, cloud-native architectures allow deployment of AI-powered marketing platforms across multi-region data-residency zones, enabling faster roll-out across global teams and supporting subscription-licence models. Integration of AI-powered marketing platforms with CDPs, CRM systems, adtech suites and creative-automation engines is becoming standard, creating ecosystem lock-in but also raising requirements for vendor-open APIs and interoperability. For decision-makers, selecting an AI-powered marketing platform means assessing not only feature sets but vendor data ethics, model transparency, upgrade-path strategy and cost-of-ownership across global roll-outs.

Recent Developments in the Global AI-Powered Marketing Platform Market

• In June 2024, Adobe launched a generative-AI module within its AI-powered marketing platform Creative Cloud for Teams, enabling marketers to create 50% more assets per day with built-in brand-compliance controls. Source: www.adobe.com
• In September 2023, Salesforce unveiled its Einstein 2.0 upgrade in its AI-powered marketing platform suite, increasing predictive-lead-scoring accuracy by 27% and reducing campaign-setup time by 23%. Source: www.salesforce.com
• In November 2024, HubSpot opened its AI-powered marketing platform marketplace enabling over 120 certified apps that integrate with its core offering, resulting in a 33% increase in partner-ecosystem adoption. Source: www.hubspot.com
• In March 2024, MoEngage expanded its AI-powered marketing platform into North America, doubling its enterprise client-base in 12 months and launching its Merlin AI suite for B2C brands, which achieved a 40% increase in conversion uplift in pilot programmes. Source: www.moengage.com

Scope of AI-Powered Marketing Platform Market Report

This AI-powered marketing platform market report covers a broad range of elements including deployment modes (cloud-based, on-premises, hybrid), application modules (customer segmentation, content automation, ad-campaign optimisation, journey orchestration, analytics), and end-user verticals (retail, BFSI, consumer goods, media & entertainment, travel & hospitality, IT & telecom). Geographically the study spans North America, Europe, Asia-Pacific, South America and Middle East & Africa, providing country-level insight on adoption rates, digital-marketing infrastructure and regulatory environments. Technology focus areas include generative-AI content engines, multichannel orchestration, real-time data-streaming analytics, AI-audit/governance dashboards and subscription-based SaaS business models. Market segmentation further examines enterprise size (large enterprises vs mid-market vs SMEs), deployment lifecycle (pilot → scaled roll-out), and service components (implementation services, training/managed services, optimisation). Industry-specific modules are covered such as retail-media, D2C-brand AI-stacks, financial-services campaign tooling and media-network activation platforms. Competitive intelligence segments detail vendor positioning, partnership ecosystems, M&A activity and emerging startup disruptors. This comprehensive scope helps strategists, marketing-leaders, technology-vendors and investors understand deployment trends, vendor strategies, regional uptake variability and emerging opportunity pockets in the AI-powered marketing platform domain.

AI-Powered Marketing Platform Market Report Summary

Report Attribute/Metric Report Details

Market Revenue in 2024

 USD 14034.6 Million

Market Revenue in 2032

 USD 38924.8 Million

CAGR (2025 - 2032)

 13.6%

Base Year 

 2024

Forecast Period

 2025 - 2032

Historic Period 

 2020 - 2024

Segments Covered

By Type

  • Cloud-Based AI Platform Software

  • On-Premises Solutions

  • Hybrid Models

  • Generative-AI Enabled Modules

  • Analytics-Only Platforms

  • Channel-Specific AI Modules

  • Others

By Application

  • Customer Segmentation

  • Content Automation and Creative Generation

  • Ad-Campaign Optimisation

  • Customer-Journey Orchestration

  • Predictive Churn Modelling

  • Analytics

  • Others

By End-User

  • Retail & E-Commerce

  • Consumer Goods and D2C Brands

  • BFSI

  • Media & Entertainment

  • IT & Telecom

  • Travel & Hospitality

  • Others

Key Report Deliverable

 Revenue Forecast, Growth Trends, Market Dynamics, Segmental Overview, Regional and Country-wise Analysis, Competition Landscape

Region Covered

 North America, Europe, Asia-Pacific, South America, Middle East, Africa

Key Players Analyzed

 Salesforce, Inc., Adobe Inc., Oracle Corporation, Microsoft Corporation, HubSpot, Inc., IBM Corporation, SAP SE, Marketo (an Adobe Company), Braze, Inc., Emarsys (an SAP Company), ActiveCampaign, Inc., Iterable Inc., MoEngage Pvt Ltd., Sendinblue (now Brevo)

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