Multichannel Analytics Market Size and Share

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Multichannel Analytics Market Analysis by Mordor Intelligence

The multichannel analytics market size is valued at USD 26.17 billion in 2025 and is forecast to reach USD 61.81 billion by 2030, growing at an 18.75% CAGR. The surge is underpinned by rapid adoption of AI-enabled personalization, the move toward cookieless targeting, and the need to unify data from proliferating customer touchpoints. Cloud-native architectures lower time-to-insight, while privacy-preserving frameworks allow firms to comply with tightening data-sovereignty rules.[1]U.S. Federal Register, “Preventing Access to U.S. Sensitive Personal Data and Government-Related Data by Countries of Concern,” federalregister.govCompetitive intensity is rising as vendors embed generative AI to automate journey orchestration and as SMEs gain easier entry through pay-as-you-go pricing. Vertical demand is strongest in retail, healthcare, and BFSI, where cross-channel engagement directly influences lifetime value.

Key Report Takeaways

  • By component, Solutions held 58% revenue share in 2024, while Customer Journey Orchestration is advancing at a 17.4% CAGR.
  • By deployment mode, cloud captured 71.4% of the multichannel analytics market size in 2024; hybrid cloud is projected to expand at a 22% CAGR through 2030.
  • By enterprise size, large enterprises commanded 62% share of the multichannel analytics market size in 2024; SMEs are recording the highest CAGR at 16.2%.
  • By end-user industry, retail & e-commerce led with 27% share in 2024; healthcare & life-sciences is forecast to grow at 18.3% CAGR.
  • By application, campaign & journey optimization accounted for 32% share of the multichannel analytics market size in 2024; personalized recommendation engines are rising at 21.7% CAGR.
  • By channel type, web & mobile captured 41% revenue share in 2024; OTT/Connected-TV is the fastest-growing channel at 23.5% CAGR.
  • By geography, North America led with 38.5% of multichannel analytics market share in 2024; Asia-Pacific is expanding at a 16.9% CAGR to 2030.

Segment Analysis

By Component: Customer Journey Orchestration Leads Innovation

Solutions dominated the multichannel analytics market with 58% revenue share in 2024, reflecting a preference for integrated suites that collapse data, decisioning, and activation into one stack. Customer journey orchestration engines are the breakout sub-category, scaling at 17.4% CAGR to 2030 as firms pivot from channel metrics to individual context triggers. Vendors embed AI policies that decide the next best experience across email, app, and call-center, driving upsell and loyalty gains.

Services retained 42% share owing to demand for customization, data engineering, and managed optimization. System integrators package domain expertise with low-code accelerators to shorten deployment timelines. Visualization and dashboard modules democratize insights for frontline employees, while query and reporting tools support ad-hoc exploration. The multichannel analytics market continues to reward platforms that expose open APIs and marketplace extensions, fostering ecosystem stickiness.

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By Deployment Mode: Hybrid Cloud Accelerates Growth

Cloud remains the default choice at 71.4% of 2024 spending as firms prize scalability and opex flexibility. Data-sovereignty laws and latency-sensitive workloads, however, are catalyzing hybrid adoption, which is expanding at a 22% CAGR. Financial institutions keep PII behind their firewall yet leverage cloud GPUs for model training, illustrating the blended architecture trend. Vendors now offer policy engines that route queries to compliant zones automatically, reducing legal exposure and improving performance.

On-premises deployments persist for organizations with sunk investments or ultra-low-latency requirements. Nevertheless, refactoring monoliths into containerized services inside private clouds allows gradual migration without wholesale re-writes. The multichannel analytics market size attributed to multi-cloud strategies is expected to widen as organizations pursue cost arbitrage and avoid lock-in.

By Enterprise Size: SMEs Embrace Analytics Innovation

Large enterprises accounted for 62% of 2024 spend, leveraging dedicated data teams and larger ad budgets to justify enterprise-wide roll-outs. Yet organizational silos and legacy tech can delay ROI, pushing these firms toward center-of-excellence models that standardize tooling and governance.

SMEs are the fastest-growing cohort at 16.2% CAGR due to subscription-based pricing and templated AI playbooks. Cloud credits, accelerator programs, and managed services minimize upfront spend and skills gaps.[5]Alibaba Cloud, “Alibaba Cloud and IMDA Partner to Accelerate AI,” alibabacloud.comAs data-mesh principles become mainstream, SMEs exploit interoperability to plug specialized apps into core CDPs without vendor lock-in.

By End-user Industry: Retail Leads, Healthcare Accelerates

Retail & e-commerce led spend with a 27% stake, driven by omnichannel inventory optimization and personalized promotions that lift basket sizes. Retailers deploying predictive analytics improved stock accuracy and marketing ROI, fortifying margins in a low-loyalty environment.

Healthcare & life-sciences is rising at an 18.3% CAGR as payers and providers shift from episodic interactions to continuous engagement via portals, wearables, and telehealth. Multichannel analytics supports care-gap alerts and personalized treatment nudges, boosting adherence. BFSI maintains an 18% share for fraud and risk use cases, while media & entertainment taps real-time behavioral scoring to optimize streaming recommendations.

By Application: Personalization Drives Future Growth

Campaign & journey optimization retained the top slot with 32% of 2024 revenues, powered by AI-driven experimentation that tailors creative, timing, and channel mix. Customer acquisition and cross-sell followed at 28%, leveraging propensity models to raise conversion among look-alike audiences.

Personalized recommendation engines deliver the highest growth at 21.7% CAGR. Retail adopters see revenue lifts up to 40% when deploying real-time recommenders on product-detail pages. Fraud & risk analytics reduce losses by double digits in omnichannel banking, while churn analytics prioritize retention offers for high-value segments.

Multichannel Analytics Market
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Note: Segment shares of all individual segments available upon report purchase

By Channel Type: OTT/Connected-TV Emerges as Growth Leader

Web & mobile interactions provided 41% of 2024 data volumes, remaining foundational to the multichannel analytics industry. Social media contributed 33%, buoyed by social-commerce checkouts and influencer campaigns that require unified attribution.

OTT/Connected-TV is the fastest-growing channel at 23.5% CAGR as addressable inventory expands and measurement improves. Advertisers connect CTV exposure data with e-commerce sales, proving return on ad spend and reallocating linear budgets. Email continues to drive retention, while in-store IoT devices feed real-time shelf-interaction data into cloud analytics for demand sensing.

Geography Analysis

North America comprised 38.5% of 2024 revenue, supported by mature marketing-technology stacks and aggressive first-party data strategies. U.S. enterprises deploy privacy-preserving clean rooms to exploit consented data without violating upcoming sovereignty rules.[6]Canadian retailers localize CDPs to meet provincial privacy acts, while Mexican brands adopt pay-as-you-go platforms to close capability gaps with U.S. partners.

Europe represented 28% share, with the GDPR shaping strict consent orchestration and edge anonymization. German SMEs record 13.4 ROI multiples on analytics investments, proving viability despite tighter budgets.[7]Neumeyer E. & Liu Y., “Measuring the Success of Digital Transformation in German SMEs,” jsbs.scholasticahq.comThe U.K. embraces hybrid cloud to reconcile FCA guidance with performance needs, and French telcos leverage AI to reduce churn in competitive quad-play markets.

Asia-Pacific is set to register a 16.9% CAGR to 2030, propelled by China’s live-commerce boom and Southeast Asia’s mobile-first demographics. Japanese retailers, though earlier in the curve, pilot QR-code-driven in-store personalization as e-commerce penetration lags peers. India’s SME base experiments with low-code dashboards despite data-collection hurdles. Australia and New Zealand adopt multi-cloud for data-locality compliance, while South Korea leverages 5G to stream behavioral data from IoT touchpoints.

The Middle East & Africa is smaller but rapidly modernizing, with GCC banks investing in omnichannel fraud analytics and South African grocers trialing edge-AI shelf monitoring. Diverse regulatory landscapes necessitate fragmented deployment patterns, reinforcing vendor demand for policy-aware orchestration layers.

Multichannel Analytics Market
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Competitive Landscape

The multichannel analytics market shows moderate concentration, with Adobe, Salesforce, Microsoft, and IBM leading end-to-end suites that bundle data, AI, and activation. Adobe’s Q4 2024 revenue grew 11.1%, outpacing peer averages of 8.9%, driven by Experience Cloud cross-sell. Salesforce integrates real-time CDP with Slack to close the loop between insights and frontline action, while Microsoft converges Azure Synapse and Dynamics 365 to shorten data-activation cycles. IBM targets regulated verticals with watsonx-governed AI pipelines.

Specialists such as Amplitude, Mixpanel, and Snowflake differentiate on depth of product analytics, speed, or open-format data sharing. Braze secures a leader position in Gartner’s multichannel marketing hubs for the second year, reflecting strength in cross-channel messaging orchestration. Stackline partners with Amazon to offer multi-retailer attribution, signaling a move from single-channel optimization to holistic commerce measurement. Start-ups focusing on privacy-by-design analytics attract capital as executive awareness of data-risk climbs.

Competitive strategy centers on ecosystem expansion, AI R&D, and compliance alignment. Market leaders buy niche AI firms to fill functional gaps, while challengers forge cloud-provider alliances to gain distribution. Open APIs, marketplace extensions, and usage-based licensing emerge as decisive selection factors for buyers wary of lock-in.

Multichannel Analytics Industry Leaders

  1. Oracle Corporation

  2. Adobe Inc.

  3. Alphabet (Google) Inc.

  4. IBM Corp.

  5. SAS Institute

  6. *Disclaimer: Major Players sorted in no particular order
Multichannel Analytics Market Concentration
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Recent Industry Developments

  • May 2025: Braze was named a Leader in the 2024 Magic Quadrant for Multichannel Marketing Hubs by Gartner for the second consecutive year, highlighting the company's strong position in the market and continued innovation in customer engagement technologies including AI-driven approaches for personalized campaigns and cross-channel messaging.
  • April 2025: Stackline, in collaboration with Amazon, launched a groundbreaking Multi-Retailer Attribution solution that enhances how brands measure the impact of their advertising across various retailers, addressing the limitations of traditional attribution models that focus on single retailers and providing comprehensive views of consumer purchases influenced by advertising across multiple channels.
  • March 2025: Adobe reported significant success with Sling TV's implementation of Adobe Experience Cloud solutions, which led to a 30% increase in cart conversions through streamlined checkout, a 22% rise in website conversions via tailored offers, and improved customer retention through personalized branding, demonstrating the tangible business impact of integrated multichannel analytics.
  • January 2025: Alibaba Cloud and the Infocomm Media Development Authority (IMDA) launched the Alibaba Cloud Digital Accelerator Programme to support the digital transformation of up to 3,000 SMEs in Singapore, offering cloud credits, AI training, and technical support to enhance SMEs' capabilities in adopting cloud and AI technologies for analytics and customer engagement.

Table of Contents for Multichannel Analytics Industry Report

1. INTRODUCTION

  • 1.1 Study Assumptions and Market Definition
  • 1.2 Scope of the Study

2. RESEARCH METHODOLOGY

3. EXECUTIVE SUMMARY

4. MARKET LANDSCAPE

  • 4.1 Market Overview
  • 4.2 Market Drivers
    • 4.2.1 Generative-AI-driven hyper-personalisation
    • 4.2.2 Growth of social media and online shopping
    • 4.2.3 Increasing adoption of cloud-native stacks
    • 4.2.4 Real-time CDPs for cookieless targeting
    • 4.2.5 Privacy-preserving analytics frameworks
    • 4.2.6 Proliferation of consumer data touchpoints
  • 4.3 Market Restraints
    • 4.3.1 High implementation cost and ROI uncertainty
    • 4.3.2 Integration complexity with legacy IT
    • 4.3.3 API-access throttling by media platforms
    • 4.3.4 Rising cross-border data-sovereignty laws
  • 4.4 Value / Supply-Chain Analysis
  • 4.5 Regulatory Landscape
  • 4.6 Technological Outlook
  • 4.7 Porter's Five Forces
    • 4.7.1 Bargaining Power of Suppliers
    • 4.7.2 Bargaining Power of Buyers
    • 4.7.3 Threat of New Entrants
    • 4.7.4 Threat of Substitutes
    • 4.7.5 Competitive Rivalry

5. MARKET SIZE AND GROWTH FORECASTS (VALUE)

  • 5.1 By Component
    • 5.1.1 Solutions
    • 5.1.1.1 Query and Reporting
    • 5.1.1.2 Visualisation and Dashboards
    • 5.1.1.3 Data Mining and Predictive
    • 5.1.1.4 Customer Journey Orchestration
    • 5.1.1.5 Other Solutions
    • 5.1.2 Services
  • 5.2 By Deployment Mode
    • 5.2.1 Cloud (Public, Private, Hybrid)
    • 5.2.2 On-premises
  • 5.3 By Enterprise Size
    • 5.3.1 SMEs
    • 5.3.2 Large Enterprises
  • 5.4 By End-user Industry
    • 5.4.1 Retail and eCommerce
    • 5.4.2 BFSI
    • 5.4.3 IT and Telecom
    • 5.4.4 Healthcare and Life-Sciences
    • 5.4.5 Government and Non-profit
    • 5.4.6 Media and Entertainment
    • 5.4.7 Travel and Hospitality
    • 5.4.8 Other Industries
  • 5.5 By Application
    • 5.5.1 Customer Acquisition and Cross-sell
    • 5.5.2 Churn and Retention Analytics
    • 5.5.3 Campaign and Journey Optimisation
    • 5.5.4 Personalised Recommendation
    • 5.5.5 Fraud and Risk Analytics
  • 5.6 By Channel Type
    • 5.6.1 Web and Mobile
    • 5.6.2 Social Media
    • 5.6.3 Email
    • 5.6.4 Call-centre and Chat
    • 5.6.5 In-store / POS / IoT Edge
    • 5.6.6 OTT / Connected-TV
  • 5.7 By Geography
    • 5.7.1 North America
    • 5.7.1.1 United States
    • 5.7.1.2 Canada
    • 5.7.1.3 Mexico
    • 5.7.2 South America
    • 5.7.2.1 Brazil
    • 5.7.2.2 Argentina
    • 5.7.2.3 Rest of South America
    • 5.7.3 Europe
    • 5.7.3.1 Germany
    • 5.7.3.2 United Kingdom
    • 5.7.3.3 France
    • 5.7.3.4 Italy
    • 5.7.3.5 Spain
    • 5.7.3.6 Russia
    • 5.7.3.7 Rest of Europe
    • 5.7.4 APAC
    • 5.7.4.1 China
    • 5.7.4.2 Japan
    • 5.7.4.3 India
    • 5.7.4.4 South Korea
    • 5.7.4.5 ASEAN
    • 5.7.4.6 Australia and New Zealand
    • 5.7.4.7 Rest of APAC
    • 5.7.5 Middle East and Africa
    • 5.7.5.1 GCC (Saudi, UAE, etc.)
    • 5.7.5.2 Turkey
    • 5.7.5.3 Israel
    • 5.7.5.4 South Africa
    • 5.7.5.5 Nigeria
    • 5.7.5.6 Rest of Middle East and Africa

6. COMPETITIVE LANDSCAPE

  • 6.1 Market Concentration
  • 6.2 Strategic Moves
  • 6.3 Market Share Analysis
  • 6.4 Company Profiles (includes Global level Overview, Market level overview, Core Segments, Financials as available, Strategic Information, Market Rank/Share for key companies, Products and Services, and Recent Developments)
    • 6.4.1 Adobe Inc.
    • 6.4.2 Alphabet (Google) Inc.
    • 6.4.3 Amazon Web Services
    • 6.4.4 Amplitude Inc.
    • 6.4.5 CleverTap
    • 6.4.6 Ebiquity plc
    • 6.4.7 HCLTech
    • 6.4.8 HubSpot Inc.
    • 6.4.9 IBM Corp.
    • 6.4.10 Microsoft Corp.
    • 6.4.11 Micro Focus International
    • 6.4.12 Mixpanel Inc.
    • 6.4.13 NICE Ltd.
    • 6.4.14 Oracle Corp.
    • 6.4.15 Pegasystems Inc.
    • 6.4.16 Qualtrics International
    • 6.4.17 Salesforce Inc.
    • 6.4.18 SAP SE
    • 6.4.19 Segment (Twilio)
    • 6.4.20 Sitecore
    • 6.4.21 Snowflake Inc.
    • 6.4.22 Sprinklr
    • 6.4.23 SAS Institute
    • 6.4.24 Teradata Corp.

7. MARKET OPPORTUNITIES AND FUTURE OUTLOOK

  • 7.1 White-space and Unmet-need Assessment
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Global Multichannel Analytics Market Report Scope

Multi-channel analytics is a process of collecting and analyzing data from various sources, such as web analytics, email marketing, social media, paid ads, and offline channels. It helps to identify the most effective channels for reaching target audience, as well as the ones that need improvement.

The multichannel analytics market is segmented by component (solution, services), by deployment (public, private, hybrid), by enterprise size (SMEs, large enterprises), by end-user (BFSI, IT and telecom, retail, healthcare, government, other end-users), by geography (North America, Europe, Asia-Pacific, Latin America, Middle East and Africa). The market sizes and forecasts are provided in terms of value (USD) for all the above segments.

By Component Solutions Query and Reporting
Visualisation and Dashboards
Data Mining and Predictive
Customer Journey Orchestration
Other Solutions
Services
By Deployment Mode Cloud (Public, Private, Hybrid)
On-premises
By Enterprise Size SMEs
Large Enterprises
By End-user Industry Retail and eCommerce
BFSI
IT and Telecom
Healthcare and Life-Sciences
Government and Non-profit
Media and Entertainment
Travel and Hospitality
Other Industries
By Application Customer Acquisition and Cross-sell
Churn and Retention Analytics
Campaign and Journey Optimisation
Personalised Recommendation
Fraud and Risk Analytics
By Channel Type Web and Mobile
Social Media
Email
Call-centre and Chat
In-store / POS / IoT Edge
OTT / Connected-TV
By Geography North America United States
Canada
Mexico
South America Brazil
Argentina
Rest of South America
Europe Germany
United Kingdom
France
Italy
Spain
Russia
Rest of Europe
APAC China
Japan
India
South Korea
ASEAN
Australia and New Zealand
Rest of APAC
Middle East and Africa GCC (Saudi, UAE, etc.)
Turkey
Israel
South Africa
Nigeria
Rest of Middle East and Africa
By Component
Solutions Query and Reporting
Visualisation and Dashboards
Data Mining and Predictive
Customer Journey Orchestration
Other Solutions
Services
By Deployment Mode
Cloud (Public, Private, Hybrid)
On-premises
By Enterprise Size
SMEs
Large Enterprises
By End-user Industry
Retail and eCommerce
BFSI
IT and Telecom
Healthcare and Life-Sciences
Government and Non-profit
Media and Entertainment
Travel and Hospitality
Other Industries
By Application
Customer Acquisition and Cross-sell
Churn and Retention Analytics
Campaign and Journey Optimisation
Personalised Recommendation
Fraud and Risk Analytics
By Channel Type
Web and Mobile
Social Media
Email
Call-centre and Chat
In-store / POS / IoT Edge
OTT / Connected-TV
By Geography
North America United States
Canada
Mexico
South America Brazil
Argentina
Rest of South America
Europe Germany
United Kingdom
France
Italy
Spain
Russia
Rest of Europe
APAC China
Japan
India
South Korea
ASEAN
Australia and New Zealand
Rest of APAC
Middle East and Africa GCC (Saudi, UAE, etc.)
Turkey
Israel
South Africa
Nigeria
Rest of Middle East and Africa
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Key Questions Answered in the Report

What is driving the rapid growth of the multichannel analytics market?

Adoption of generative AI for hyper-personalization, cloud-native scalability, and the shift to first-party data strategies are propelling an 18.8% CAGR to 2030.

How large will the multichannel analytics market size be by 2030?

The market is projected to reach USD 61.8 billion by 2030 at current growth rates.

Which region is expected to be the fastest-growing?

Asia-Pacific is forecast to post a 16.9% CAGR, driven by mobile-first consumer behavior and expanding cloud infrastructure.

Which industry vertical currently invests the most?

Retail & e-commerce leads with a 27% revenue share as omnichannel customer journeys demand unified analytics.

Why are hybrid cloud deployments gaining traction?

Hybrid architectures balance data-residency compliance with elastic compute, growing at a 22% CAGR through 2030.

What emerging channel offers the highest growth opportunity?

OTT/Connected-TV analytics is scaling at 23.5% CAGR as advertisers shift spend toward addressable streaming inventory.

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