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AI-powered Personalization in Retail Market Likely to Surpass USD 12.7 Billion by 2035

Report Code: CGS-72235 | Published in: Jun 2026, By MarketGenics | Number of pages: 261

Global AI-powered Personalization in Retail Market Forecast 2035:

According to the report, the global AI-powered personalization in retail market is likely to grow from USD 2.8 Billion in 2025 to USD 12.7 Billion in 2035 at a highest CAGR of 16.3% during the time period. Retail market personalization is witnessing a revolution and it is increasingly becoming an intelligent approach to customer engagement that can predict and respond to consumer behaviour.

Personalization technology continues to be mainstream across a range of merchandising, customer interaction and digital commerce activities, and is helping retailers to provide more context-aware shopping experiences, while enhancing the responsiveness of their operations in the increasingly competitive retail landscape.

The growing sophistication of machine learning architectures, customer intelligence (CI) platforms, and behavioral analytics are improving the understanding retailers have of complex customer signals across several points of customer engagement. The enhancements are enabling more accurate recommendation systems, audience segmentation models and engagement strategies, helping retailers to provide more relevant interactions, reflecting changing customer buying habits and expectations.

Artificial Intelligence is making significant strides in the retail sector, with the technology being increasingly used in retail execution systems, directly within the retail commerce platform, and also in loyalty ecosystems and customer journey workflows. This integration is helping to shape more flexible retail environments, where understanding customers, delivering relevant content and content decision-making processes are all continually evolving in order to make the most of engagement, commercial performance and long-term customer value generation.

“Key Driver, Restraint, and Growth Opportunity Shaping the Global AI-powered Personalization in Retail Market”

The increasing shift towards dynamic retail pricing and personalized assortment optimization, retailers are increasingly turning to AI-powered personalization technologies to optimize product visibility, promotions and stock levels to match changing preferences and buying patterns of various customer segments by using machine learning models.

Growing worries around algorithm transparency and personalization governance are opening up implementation hurdles, as retailers are under growing pressure to deliver clear and transparent results when using AI, avoid recommendation bias and build trust in automated decision-making processes that can shape the customer experience and purchase journey.

The application of generative AI in retail experience design is creating new opportunities for market expansion, including adaptive storefronts, AI-powered product content, conversational interfaces to the experience, and constantly evolving digital environments that can respond and adapt based on real-time use and engagement signals.

Expansion of Global AI-powered Personalization in Retail Market

“Real-Time Consumer Intelligence Expansion, Hyper-Personalized Commerce Evolution, and AI-Native Retail Engagement Transformation”

Retailers are increasingly leveraging AI-driven personalization tools, aiming to transform vast amounts of customer engagement data into actionable information, powering more accurate recommendations, personalized offers, and dynamic pathways through the customer journey on both digital and in-store platforms.
Hyper-personalized commerce is influencing how commerce engages customers, with AI engines constantly analyzing behavioral cues, purchase intent signals, and contextual preferences to provide highly personalized shopping experiences, making it easier to retain customers and generate lifetime value.
Market development is also gaining momentum, as AI-native platforms for customer engagement are making it easier for retailers to scale personalized experiences efficiently across various consumer segments and touchpoints through real-time decision making, intelligent content optimization for search, and automated content customization.

Regional Analysis of Global AI-powered Personalization in Retail Market

North America dominates the AI-powered personalization in Retail market, aided by the broad commercialisation of predictive consumer intelligence, wide adoption of retail AI models and the presence of retailers with very developed first-party data ecosystems. There is also a high level of personalization technology integration across loyalty schemes, merchandising and customer lifecycle management across the region, which can lead to measurable increases in conversion and customer retention.
Asia Pacific is the fastest market in the AI-powered personalisation in Retail market as the market is witnessing the emergence of AI-native retail formats, rising adoption of behavioural analytics in digital marketplaces and hyper-personalised shopping experiences among mobile-centric consumers. Regional super-app ecosystems and the rise in retailer investments in dynamic content optimization and automated customer engagement capabilities also fuel market growth as the technology evolves and integrates with the region's super-apps.

Prominent players operating in the global AI-powered personalization in retail market are Adobe Inc., Aprimo, Bloomreach, Inc., Braze, Inc., Coveo Solutions Inc., Insider One, Mutiny, Nosto Solutions Oy, Oracle Corporation, Salesforce, Inc., SAP SE, Other Key Players.

The global AI-powered personalization in retail market has been segmented as follows:

Global AI-powered Personalization in Retail Market Analysis, by Component

Software
- Personalization Engines
- Recommendation Systems
- Customer Data Platforms (CDPs)
- AI/ML Analytics Platforms
Services
- Professional Services
- Managed Services

Global AI-powered Personalization in Retail Market Analysis, by Technology

Machine Learning (ML)
Natural Language Processing (NLP)
Deep Learning
Generative AI
Predictive Analytics
Big Data & Real-time Analytics
Computer Vision
Others

Global AI-powered Personalization in Retail Market Analysis, by Touchpoint

Online / E-commerce
- Website Personalization
- Mobile App Personalization
- Email Personalization
- Push Notifications
- Others
Offline / Physical Retail
- In-store Digital Signage
- Smart Kiosk Personalization
- POS-based Personalization
- Others
Omnichannel Commerce

Global AI-powered Personalization in Retail Market Analysis, by Application

Product Recommendations
Dynamic Pricing & Promotions
Customer Segmentation & Profiling
Personalized Search & Discovery
Loyalty & Retention Programs
Personalized Content & Marketing
Inventory & Demand Forecasting
Virtual Try-On & Augmented Reality
Conversational Commerce
Customer Journey Orchestration
Other Applications

Global AI-powered Personalization in Retail Market Analysis, by Deployment Mode

Cloud-based
On-premises

Global AI-powered Personalization in Retail Market Analysis, by Enterprise Size

Large Enterprises
Small & Medium Enterprises (SMEs)

Global AI-powered Personalization in Retail Market Analysis, by Pricing Model

Subscription-based
License-based
Pay-per-use

Global AI-powered Personalization in Retail Market Analysis, by Industry Verticals

Fashion & Apparel Retail
Grocery & Supermarket Retail
Consumer Electronics & Appliances Retail
Health, Beauty & Personal Care Retail
Luxury & Premium Retail
Sports, Fitness & Outdoor Retail
Home Décor, Furniture & DIY Retail
Specialty & Niche Retail
Jewelry & Watches Retail
Others

Global AI-powered Personalization in Retail Market Analysis, by Region

North America
Europe
Asia Pacific
Middle East
Africa
South America

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Table of Contents

1. Research Methodology and Assumptions
- 1.1. Definitions
- 1.2. Research Design and Approach
- 1.3. Data Collection Methods
- 1.4. Base Estimates and Calculations
- 1.5. Forecasting Models
  - 1.5.1. Key Forecast Factors & Impact Analysis
- 1.6. Secondary Research
  - 1.6.1. Open Sources
  - 1.6.2. Paid Databases
  - 1.6.3. Associations
- 1.7. Primary Research
  - 1.7.1. Primary Sources
  - 1.7.2. Primary Interviews with Stakeholders across Ecosystem
2. Executive Summary
- 2.1. Global AI-powered Personalization in Retail Market Outlook
  - 2.1.1. AI-powered Personalization in Retail Market Size (Value - US$ Bn), and Forecasts, 2021-2035
  - 2.1.2. Compounded Annual Growth Rate Analysis
  - 2.1.3. Growth Opportunity Analysis
  - 2.1.4. Segmental Share Analysis
  - 2.1.5. Geographical Share Analysis
- 2.2. Market Analysis and Facts
- 2.3. Supply-Demand Analysis
- 2.4. Competitive Benchmarking
- 2.5. Go-to- Market Strategy
  - 2.5.1. Customer/ End-use Industry Assessment
  - 2.5.2. Growth Opportunity Data, 2026-2035
    - 2.5.2.1. Regional Data
    - 2.5.2.2. Country Data
    - 2.5.2.3. Segmental Data
  - 2.5.3. Identification of Potential Market Spaces
  - 2.5.4. GAP Analysis
  - 2.5.5. Potential Attractive Price Points
  - 2.5.6. Prevailing Market Risks & Challenges
  - 2.5.7. Preferred Sales & Marketing Strategies
  - 2.5.8. Key Recommendations and Analysis
  - 2.5.9. A Way Forward
3. Industry Data and Premium Insights
- 3.1. Global Consumer Goods & Services Industry Overview, 2025
  - 3.1.1. Consumer Goods & Services Industry Ecosystem Analysis
  - 3.1.2. Key Trends for Consumer Goods & Services Industry
  - 3.1.3. Regional Distribution for Consumer Goods & Services Industry
- 3.2. Technology Roadmap and Developments
4. Market Overview
- 4.1. Market Dynamics
  - 4.1.1. Drivers
    - 4.1.1.1. Growing adoption of AI and machine learning for real-time personalized shopping experiences across online and offline retail channels
    - 4.1.1.2. Increasing demand for data-driven customer engagement and targeted marketing to improve conversion rates and customer retention
    - 4.1.1.3. Expansion of e-commerce and omnichannel retail ecosystems enabling large-scale personalization at every customer touchpoint
  - 4.1.2. Restraints
    - 4.1.2.1. High implementation and integration costs of AI personalization platforms across legacy retail infrastructure
    - 4.1.2.2. Data privacy concerns and strict regulatory compliance requirements limiting customer data collection and usage
- 4.2. Key Trend Analysis
- 4.3. Regulatory Framework
  - 4.3.1. Key Regulations, Norms, and Subsidies, by Key Countries
  - 4.3.2. Tariffs and Standards
  - 4.3.3. Impact Analysis of Regulations on the Market
- 4.4. Ecosystem Analysis
- 4.5. Porter’s Five Forces Analysis
- 4.6. PESTEL Analysis
- 4.7. Global AI-powered Personalization in Retail Market Demand
  - 4.7.1. Historical Market Size – Value (US$ Bn), 2020-2024
  - 4.7.2. Current and Future Market Size – Value (US$ Bn), 2026–2035
    - 4.7.2.1. Y-o-Y Growth Trends
    - 4.7.2.2. Absolute $ Opportunity Assessment
5. Competition Landscape
- 5.1. Competition structure
  - 5.1.1. Fragmented v/s consolidated
- 5.2. Company Share Analysis, 2025
  - 5.2.1. Global Company Market Share
  - 5.2.2. By Region
    - 5.2.2.1. North America
    - 5.2.2.2. Europe
    - 5.2.2.3. Asia Pacific
    - 5.2.2.4. Middle East
    - 5.2.2.5. Africa
    - 5.2.2.6. South America
- 5.3. Product Comparison Matrix
  - 5.3.1. Specifications
  - 5.3.2. Market Positioning
  - 5.3.3. Pricing
6. Global AI-powered Personalization in Retail Market Analysis, by Component
- 6.1. Key Segment Analysis
- 6.2. AI-powered Personalization in Retail Market Size (Value - US$ Bn), Analysis, and Forecasts, by Component, 2021-2035
  - 6.2.1. Software
    - 6.2.1.1. Personalization Engines
    - 6.2.1.2. Recommendation Systems
    - 6.2.1.3. Customer Data Platforms (CDPs)
    - 6.2.1.4. AI/ML Analytics Platforms
  - 6.2.2. Services
    - 6.2.2.1. Professional Services
    - 6.2.2.2. Managed Services
7. Global AI-powered Personalization in Retail Market Analysis, by Technology
- 7.1. Key Segment Analysis
- 7.2. AI-powered Personalization in Retail Market Size (Value - US$ Bn), Analysis, and Forecasts, by Technology, 2021-2035
  - 7.2.1. Machine Learning (ML)
  - 7.2.2. Natural Language Processing (NLP)
  - 7.2.3. Deep Learning
  - 7.2.4. Generative AI
  - 7.2.5. Predictive Analytics
  - 7.2.6. Big Data & Real-time Analytics
  - 7.2.7. Computer Vision
  - 7.2.8. Others
8. Global AI-powered Personalization in Retail Market Analysis, by Touchpoint
- 8.1. Key Segment Analysis
- 8.2. AI-powered Personalization in Retail Market Size (Value - US$ Bn), Analysis, and Forecasts, by Touchpoint, 2021-2035
  - 8.2.1. Online / E-commerce
    - 8.2.1.1. Website Personalization
    - 8.2.1.2. Mobile App Personalization
    - 8.2.1.3. Email Personalization
    - 8.2.1.4. Push Notifications
    - 8.2.1.5. Others
  - 8.2.2. Offline / Physical Retail
    - 8.2.2.1. In-store Digital Signage
    - 8.2.2.2. Smart Kiosk Personalization
    - 8.2.2.3. POS-based Personalization
    - 8.2.2.4. Others
  - 8.2.3. Omnichannel Commerce
9. Global AI-powered Personalization in Retail Market Analysis, by Application
- 9.1. Key Segment Analysis
- 9.2. AI-powered Personalization in Retail Market Size (Value - US$ Bn), Analysis, and Forecasts, by Application, 2021-2035
  - 9.2.1. Product Recommendations
  - 9.2.2. Dynamic Pricing & Promotions
  - 9.2.3. Customer Segmentation & Profiling
  - 9.2.4. Personalized Search & Discovery
  - 9.2.5. Loyalty & Retention Programs
  - 9.2.6. Personalized Content & Marketing
  - 9.2.7. Inventory & Demand Forecasting
  - 9.2.8. Virtual Try-On & Augmented Reality
  - 9.2.9. Conversational Commerce
  - 9.2.10. Customer Journey Orchestration
  - 9.2.11. Other Applications
10. Global AI-powered Personalization in Retail Market Analysis, by Deployment Mode
- 10.1. Key Segment Analysis
- 10.2. AI-powered Personalization in Retail Market Size (Value - US$ Bn), Analysis, and Forecasts, by Deployment Mode, 2021-2035
  - 10.2.1. Cloud-based
  - 10.2.2. On-premises
11. Global AI-powered Personalization in Retail Market Analysis, by Enterprise Size
- 11.1. Key Segment Analysis
- 11.2. AI-powered Personalization in Retail Market Size (Value - US$ Bn), Analysis, and Forecasts, by Enterprise Size, 2021-2035
  - 11.2.1. Large Enterprises
  - 11.2.2. Small & Medium Enterprises (SMEs)
12. Global AI-powered Personalization in Retail Market Analysis, by Pricing Model
- 12.1. Key Segment Analysis
- 12.2. AI-powered Personalization in Retail Market Size (Value - US$ Bn), Analysis, and Forecasts, by Pricing Model, 2021-2035
  - 12.2.1. Subscription-based
  - 12.2.2. License-based
  - 12.2.3. Pay-per-use
13. Global AI-powered Personalization in Retail Market Analysis, by Industry Verticals
- 13.1. Key Segment Analysis
- 13.2. AI-powered Personalization in Retail Market Size (Value - US$ Bn), Analysis, and Forecasts, by Industry Verticals, 2021-2035
  - 13.2.1. Fashion & Apparel Retail
  - 13.2.2. Grocery & Supermarket Retail
  - 13.2.3. Consumer Electronics & Appliances Retail
  - 13.2.4. Health, Beauty & Personal Care Retail
  - 13.2.5. Luxury & Premium Retail
  - 13.2.6. Sports, Fitness & Outdoor Retail
  - 13.2.7. Home Décor, Furniture & DIY Retail
  - 13.2.8. Specialty & Niche Retail
  - 13.2.9. Jewelry & Watches Retail
  - 13.2.10. Others
14. Global AI-powered Personalization in Retail Market Analysis and Forecasts, by Region
- 14.1. Key Findings
- 14.2. AI-powered Personalization in Retail Market Size (Value - US$ Bn), Analysis, and Forecasts, by Region, 2021-2035
  - 14.2.1. North America
  - 14.2.2. Europe
  - 14.2.3. Asia Pacific
  - 14.2.4. Middle East
  - 14.2.5. Africa
  - 14.2.6. South America
15. North America AI-powered Personalization in Retail Market Analysis
- 15.1. Key Segment Analysis
- 15.2. Regional Snapshot
- 15.3. North America AI-powered Personalization in Retail Market Size (Value - US$ Bn), Analysis, and Forecasts, 2021-2035
  - 15.3.1. Component
  - 15.3.2. Technology
  - 15.3.3. Touchpoint
  - 15.3.4. Application
  - 15.3.5. Deployment Mode
  - 15.3.6. Enterprise Size
  - 15.3.7. Pricing Model
  - 15.3.8. Industry Verticals
  - 15.3.9. Country
    - 15.3.9.1. USA
    - 15.3.9.2. Canada
    - 15.3.9.3. Mexico
- 15.4. USA AI-powered Personalization in Retail Market
  - 15.4.1. Country Segmental Analysis
  - 15.4.2. Component
  - 15.4.3. Technology
  - 15.4.4. Touchpoint
  - 15.4.5. Application
  - 15.4.6. Deployment Mode
  - 15.4.7. Enterprise Size
  - 15.4.8. Pricing Model
  - 15.4.9. Industry Verticals
- 15.5. Canada AI-powered Personalization in Retail Market
  - 15.5.1. Country Segmental Analysis
  - 15.5.2. Component
  - 15.5.3. Technology
  - 15.5.4. Touchpoint
  - 15.5.5. Application
  - 15.5.6. Deployment Mode
  - 15.5.7. Enterprise Size
  - 15.5.8. Pricing Model
  - 15.5.9. Industry Verticals
- 15.6. Mexico AI-powered Personalization in Retail Market
  - 15.6.1. Country Segmental Analysis
  - 15.6.2. Component
  - 15.6.3. Technology
  - 15.6.4. Touchpoint
  - 15.6.5. Application
  - 15.6.6. Deployment Mode
  - 15.6.7. Enterprise Size
  - 15.6.8. Pricing Model
  - 15.6.9. Industry Verticals
16. Europe AI-powered Personalization in Retail Market Analysis
- 16.1. Key Segment Analysis
- 16.2. Regional Snapshot
- 16.3. Europe AI-powered Personalization in Retail Market Size (Value - US$ Bn), Analysis, and Forecasts, 2021-2035
  - 16.3.1. Component
  - 16.3.2. Technology
  - 16.3.3. Touchpoint
  - 16.3.4. Application
  - 16.3.5. Deployment Mode
  - 16.3.6. Enterprise Size
  - 16.3.7. Pricing Model
  - 16.3.8. Industry Verticals
  - 16.3.9. Country
    - 16.3.9.1. Germany
    - 16.3.9.2. United Kingdom
    - 16.3.9.3. France
    - 16.3.9.4. Italy
    - 16.3.9.5. Spain
    - 16.3.9.6. Netherlands
    - 16.3.9.7. Nordic Countries
    - 16.3.9.8. Poland
    - 16.3.9.9. Russia & CIS
    - 16.3.9.10. Rest of Europe
- 16.4. Germany AI-powered Personalization in Retail Market
  - 16.4.1. Country Segmental Analysis
  - 16.4.2. Component
  - 16.4.3. Technology
  - 16.4.4. Touchpoint
  - 16.4.5. Application
  - 16.4.6. Deployment Mode
  - 16.4.7. Enterprise Size
  - 16.4.8. Pricing Model
  - 16.4.9. Industry Verticals
- 16.5. United Kingdom AI-powered Personalization in Retail Market
  - 16.5.1. Country Segmental Analysis
  - 16.5.2. Component
  - 16.5.3. Technology
  - 16.5.4. Touchpoint
  - 16.5.5. Application
  - 16.5.6. Deployment Mode
  - 16.5.7. Enterprise Size
  - 16.5.8. Pricing Model
  - 16.5.9. Industry Verticals
- 16.6. France AI-powered Personalization in Retail Market
  - 16.6.1. Country Segmental Analysis
  - 16.6.2. Component
  - 16.6.3. Technology
  - 16.6.4. Touchpoint
  - 16.6.5. Application
  - 16.6.6. Deployment Mode
  - 16.6.7. Enterprise Size
  - 16.6.8. Pricing Model
  - 16.6.9. Industry Verticals
- 16.7. Italy AI-powered Personalization in Retail Market
  - 16.7.1. Country Segmental Analysis
  - 16.7.2. Component
  - 16.7.3. Technology
  - 16.7.4. Touchpoint
  - 16.7.5. Application
  - 16.7.6. Deployment Mode
  - 16.7.7. Enterprise Size
  - 16.7.8. Pricing Model
  - 16.7.9. Industry Verticals
- 16.8. Spain AI-powered Personalization in Retail Market
  - 16.8.1. Country Segmental Analysis
  - 16.8.2. Component
  - 16.8.3. Technology
  - 16.8.4. Touchpoint
  - 16.8.5. Application
  - 16.8.6. Deployment Mode
  - 16.8.7. Enterprise Size
  - 16.8.8. Pricing Model
  - 16.8.9. Industry Verticals
- 16.9. Netherlands AI-powered Personalization in Retail Market
  - 16.9.1. Country Segmental Analysis
  - 16.9.2. Component
  - 16.9.3. Technology
  - 16.9.4. Touchpoint
  - 16.9.5. Application
  - 16.9.6. Deployment Mode
  - 16.9.7. Enterprise Size
  - 16.9.8. Pricing Model
  - 16.9.9. Industry Verticals
- 16.10. Nordic Countries AI-powered Personalization in Retail Market
  - 16.10.1. Country Segmental Analysis
  - 16.10.2. Component
  - 16.10.3. Technology
  - 16.10.4. Touchpoint
  - 16.10.5. Application
  - 16.10.6. Deployment Mode
  - 16.10.7. Enterprise Size
  - 16.10.8. Pricing Model
  - 16.10.9. Industry Verticals
- 16.11. Poland AI-powered Personalization in Retail Market
  - 16.11.1. Country Segmental Analysis
  - 16.11.2. Component
  - 16.11.3. Technology
  - 16.11.4. Touchpoint
  - 16.11.5. Application
  - 16.11.6. Deployment Mode
  - 16.11.7. Enterprise Size
  - 16.11.8. Pricing Model
  - 16.11.9. Industry Verticals
- 16.12. Russia & CIS AI-powered Personalization in Retail Market
  - 16.12.1. Country Segmental Analysis
  - 16.12.2. Component
  - 16.12.3. Technology
  - 16.12.4. Touchpoint
  - 16.12.5. Application
  - 16.12.6. Deployment Mode
  - 16.12.7. Enterprise Size
  - 16.12.8. Pricing Model
  - 16.12.9. Industry Verticals
- 16.13. Rest of Europe AI-powered Personalization in Retail Market
  - 16.13.1. Country Segmental Analysis
  - 16.13.2. Component
  - 16.13.3. Technology
  - 16.13.4. Touchpoint
  - 16.13.5. Application
  - 16.13.6. Deployment Mode
  - 16.13.7. Enterprise Size
  - 16.13.8. Pricing Model
  - 16.13.9. Industry Verticals
17. Asia Pacific AI-powered Personalization in Retail Market Analysis
- 17.1. Key Segment Analysis
- 17.2. Regional Snapshot
- 17.3. Asia Pacific AI-powered Personalization in Retail Market Size (Value - US$ Bn), Analysis, and Forecasts, 2021-2035
  - 17.3.1. Component
  - 17.3.2. Technology
  - 17.3.3. Touchpoint
  - 17.3.4. Application
  - 17.3.5. Deployment Mode
  - 17.3.6. Enterprise Size
  - 17.3.7. Pricing Model
  - 17.3.8. Industry Verticals
  - 17.3.9. Country
    - 17.3.9.1. China
    - 17.3.9.2. India
    - 17.3.9.3. Japan
    - 17.3.9.4. South Korea
    - 17.3.9.5. Australia and New Zealand
    - 17.3.9.6. Indonesia
    - 17.3.9.7. Malaysia
    - 17.3.9.8. Thailand
    - 17.3.9.9. Vietnam
    - 17.3.9.10. Rest of Asia Pacific
- 17.4. China AI-powered Personalization in Retail Market
  - 17.4.1. Country Segmental Analysis
  - 17.4.2. Component
  - 17.4.3. Technology
  - 17.4.4. Touchpoint
  - 17.4.5. Application
  - 17.4.6. Deployment Mode
  - 17.4.7. Enterprise Size
  - 17.4.8. Pricing Model
  - 17.4.9. Industry Verticals
- 17.5. India AI-powered Personalization in Retail Market
  - 17.5.1. Country Segmental Analysis
  - 17.5.2. Component
  - 17.5.3. Technology
  - 17.5.4. Touchpoint
  - 17.5.5. Application
  - 17.5.6. Deployment Mode
  - 17.5.7. Enterprise Size
  - 17.5.8. Pricing Model
  - 17.5.9. Industry Verticals
- 17.6. Japan AI-powered Personalization in Retail Market
  - 17.6.1. Country Segmental Analysis
  - 17.6.2. Component
  - 17.6.3. Technology
  - 17.6.4. Touchpoint
  - 17.6.5. Application
  - 17.6.6. Deployment Mode
  - 17.6.7. Enterprise Size
  - 17.6.8. Pricing Model
  - 17.6.9. Industry Verticals
- 17.7. South Korea AI-powered Personalization in Retail Market
  - 17.7.1. Country Segmental Analysis
  - 17.7.2. Component
  - 17.7.3. Technology
  - 17.7.4. Touchpoint
  - 17.7.5. Application
  - 17.7.6. Deployment Mode
  - 17.7.7. Enterprise Size
  - 17.7.8. Pricing Model
  - 17.7.9. Industry Verticals
- 17.8. Australia and New Zealand AI-powered Personalization in Retail Market
  - 17.8.1. Country Segmental Analysis
  - 17.8.2. Component
  - 17.8.3. Technology
  - 17.8.4. Touchpoint
  - 17.8.5. Application
  - 17.8.6. Deployment Mode
  - 17.8.7. Enterprise Size
  - 17.8.8. Pricing Model
  - 17.8.9. Industry Verticals
- 17.9. Indonesia AI-powered Personalization in Retail Market
  - 17.9.1. Country Segmental Analysis
  - 17.9.2. Component
  - 17.9.3. Technology
  - 17.9.4. Touchpoint
  - 17.9.5. Application
  - 17.9.6. Deployment Mode
  - 17.9.7. Enterprise Size
  - 17.9.8. Pricing Model
  - 17.9.9. Industry Verticals
- 17.10. Malaysia AI-powered Personalization in Retail Market
  - 17.10.1. Country Segmental Analysis
  - 17.10.2. Component
  - 17.10.3. Technology
  - 17.10.4. Touchpoint
  - 17.10.5. Application
  - 17.10.6. Deployment Mode
  - 17.10.7. Enterprise Size
  - 17.10.8. Pricing Model
  - 17.10.9. Industry Verticals
- 17.11. Thailand AI-powered Personalization in Retail Market
  - 17.11.1. Country Segmental Analysis
  - 17.11.2. Component
  - 17.11.3. Technology
  - 17.11.4. Touchpoint
  - 17.11.5. Application
  - 17.11.6. Deployment Mode
  - 17.11.7. Enterprise Size
  - 17.11.8. Pricing Model
  - 17.11.9. Industry Verticals
- 17.12. Vietnam AI-powered Personalization in Retail Market
  - 17.12.1. Country Segmental Analysis
  - 17.12.2. Component
  - 17.12.3. Technology
  - 17.12.4. Touchpoint
  - 17.12.5. Application
  - 17.12.6. Deployment Mode
  - 17.12.7. Enterprise Size
  - 17.12.8. Pricing Model
  - 17.12.9. Industry Verticals
- 17.13. Rest of Asia Pacific AI-powered Personalization in Retail Market
  - 17.13.1. Country Segmental Analysis
  - 17.13.2. Component
  - 17.13.3. Technology
  - 17.13.4. Touchpoint
  - 17.13.5. Application
  - 17.13.6. Deployment Mode
  - 17.13.7. Enterprise Size
  - 17.13.8. Pricing Model
  - 17.13.9. Industry Verticals
18. Middle East AI-powered Personalization in Retail Market Analysis
- 18.1. Key Segment Analysis
- 18.2. Regional Snapshot
- 18.3. Middle East AI-powered Personalization in Retail Market Size (Value - US$ Bn), Analysis, and Forecasts, 2021-2035
  - 18.3.1. Component
  - 18.3.2. Technology
  - 18.3.3. Touchpoint
  - 18.3.4. Application
  - 18.3.5. Deployment Mode
  - 18.3.6. Enterprise Size
  - 18.3.7. Pricing Model
  - 18.3.8. Industry Verticals
  - 18.3.9. Country
    - 18.3.9.1. Turkey
    - 18.3.9.2. UAE
    - 18.3.9.3. Saudi Arabia
    - 18.3.9.4. Israel
    - 18.3.9.5. Rest of Middle East
- 18.4. Turkey AI-powered Personalization in Retail Market
  - 18.4.1. Country Segmental Analysis
  - 18.4.2. Component
  - 18.4.3. Technology
  - 18.4.4. Touchpoint
  - 18.4.5. Application
  - 18.4.6. Deployment Mode
  - 18.4.7. Enterprise Size
  - 18.4.8. Pricing Model
  - 18.4.9. Industry Verticals
- 18.5. UAE AI-powered Personalization in Retail Market
  - 18.5.1. Country Segmental Analysis
  - 18.5.2. Component
  - 18.5.3. Technology
  - 18.5.4. Touchpoint
  - 18.5.5. Application
  - 18.5.6. Deployment Mode
  - 18.5.7. Enterprise Size
  - 18.5.8. Pricing Model
  - 18.5.9. Industry Verticals
- 18.6. Saudi Arabia AI-powered Personalization in Retail Market
  - 18.6.1. Country Segmental Analysis
  - 18.6.2. Component
  - 18.6.3. Technology
  - 18.6.4. Touchpoint
  - 18.6.5. Application
  - 18.6.6. Deployment Mode
  - 18.6.7. Enterprise Size
  - 18.6.8. Pricing Model
  - 18.6.9. Industry Verticals
- 18.7. Israel AI-powered Personalization in Retail Market
  - 18.7.1. Country Segmental Analysis
  - 18.7.2. Component
  - 18.7.3. Technology
  - 18.7.4. Touchpoint
  - 18.7.5. Application
  - 18.7.6. Deployment Mode
  - 18.7.7. Enterprise Size
  - 18.7.8. Pricing Model
  - 18.7.9. Industry Verticals
- 18.8. Rest of Middle East AI-powered Personalization in Retail Market
  - 18.8.1. Country Segmental Analysis
  - 18.8.2. Component
  - 18.8.3. Technology
  - 18.8.4. Touchpoint
  - 18.8.5. Application
  - 18.8.6. Deployment Mode
  - 18.8.7. Enterprise Size
  - 18.8.8. Pricing Model
  - 18.8.9. Industry Verticals
19. Africa AI-powered Personalization in Retail Market Analysis
- 19.1. Key Segment Analysis
- 19.2. Regional Snapshot
- 19.3. Africa AI-powered Personalization in Retail Market Size (Value - US$ Bn), Analysis, and Forecasts, 2021-2035
  - 19.3.1. Component
  - 19.3.2. Technology
  - 19.3.3. Touchpoint
  - 19.3.4. Application
  - 19.3.5. Deployment Mode
  - 19.3.6. Enterprise Size
  - 19.3.7. Pricing Model
  - 19.3.8. Industry Verticals
  - 19.3.9. Country
    - 19.3.9.1. South Africa
    - 19.3.9.2. Egypt
    - 19.3.9.3. Nigeria
    - 19.3.9.4. Algeria
    - 19.3.9.5. Rest of Africa
- 19.4. South Africa AI-powered Personalization in Retail Market
  - 19.4.1. Country Segmental Analysis
  - 19.4.2. Component
  - 19.4.3. Technology
  - 19.4.4. Touchpoint
  - 19.4.5. Application
  - 19.4.6. Deployment Mode
  - 19.4.7. Enterprise Size
  - 19.4.8. Pricing Model
  - 19.4.9. Industry Verticals
- 19.5. Egypt AI-powered Personalization in Retail Market
  - 19.5.1. Country Segmental Analysis
  - 19.5.2. Component
  - 19.5.3. Technology
  - 19.5.4. Touchpoint
  - 19.5.5. Application
  - 19.5.6. Deployment Mode
  - 19.5.7. Enterprise Size
  - 19.5.8. Pricing Model
  - 19.5.9. Industry Verticals
- 19.6. Nigeria AI-powered Personalization in Retail Market
  - 19.6.1. Country Segmental Analysis
  - 19.6.2. Component
  - 19.6.3. Technology
  - 19.6.4. Touchpoint
  - 19.6.5. Application
  - 19.6.6. Deployment Mode
  - 19.6.7. Enterprise Size
  - 19.6.8. Pricing Model
  - 19.6.9. Industry Verticals
- 19.7. Algeria AI-powered Personalization in Retail Market
  - 19.7.1. Country Segmental Analysis
  - 19.7.2. Component
  - 19.7.3. Technology
  - 19.7.4. Touchpoint
  - 19.7.5. Application
  - 19.7.6. Deployment Mode
  - 19.7.7. Enterprise Size
  - 19.7.8. Pricing Model
  - 19.7.9. Industry Verticals
- 19.8. Rest of Africa AI-powered Personalization in Retail Market
  - 19.8.1. Country Segmental Analysis
  - 19.8.2. Component
  - 19.8.3. Technology
  - 19.8.4. Touchpoint
  - 19.8.5. Application
  - 19.8.6. Deployment Mode
  - 19.8.7. Enterprise Size
  - 19.8.8. Pricing Model
  - 19.8.9. Industry Verticals
20. South America AI-powered Personalization in Retail Market Analysis
- 20.1. Key Segment Analysis
- 20.2. Regional Snapshot
- 20.3. South America AI-powered Personalization in Retail Market Size (Value - US$ Bn), Analysis, and Forecasts, 2021-2035
  - 20.3.1. Component
  - 20.3.2. Technology
  - 20.3.3. Touchpoint
  - 20.3.4. Application
  - 20.3.5. Deployment Mode
  - 20.3.6. Enterprise Size
  - 20.3.7. Pricing Model
  - 20.3.8. Industry Verticals
  - 20.3.9. Country
    - 20.3.9.1. Brazil
    - 20.3.9.2. Argentina
    - 20.3.9.3. Rest of South America
- 20.4. Brazil AI-powered Personalization in Retail Market
  - 20.4.1. Country Segmental Analysis
  - 20.4.2. Component
  - 20.4.3. Technology
  - 20.4.4. Touchpoint
  - 20.4.5. Application
  - 20.4.6. Deployment Mode
  - 20.4.7. Enterprise Size
  - 20.4.8. Pricing Model
  - 20.4.9. Industry Verticals
- 20.5. Argentina AI-powered Personalization in Retail Market
  - 20.5.1. Country Segmental Analysis
  - 20.5.2. Component
  - 20.5.3. Technology
  - 20.5.4. Touchpoint
  - 20.5.5. Application
  - 20.5.6. Deployment Mode
  - 20.5.7. Enterprise Size
  - 20.5.8. Pricing Model
  - 20.5.9. Industry Verticals
- 20.6. Rest of South America AI-powered Personalization in Retail Market
  - 20.6.1. Country Segmental Analysis
  - 20.6.2. Component
  - 20.6.3. Technology
  - 20.6.4. Touchpoint
  - 20.6.5. Application
  - 20.6.6. Deployment Mode
  - 20.6.7. Enterprise Size
  - 20.6.8. Pricing Model
  - 20.6.9. Industry Verticals
21. Key Players/ Company Profile
- 21.1. Adobe Inc.
  - 21.1.1. Company Details/ Overview
  - 21.1.2. Company Financials
  - 21.1.3. Key Customers and Competitors
  - 21.1.4. Business/ Industry Portfolio
  - 21.1.5. Product Portfolio/ Specification Details
  - 21.1.6. Pricing Data
  - 21.1.7. Strategic Overview
  - 21.1.8. Recent Developments
- 21.2. Aprimo
- 21.3. Bloomreach, Inc.
- 21.4. Braze, Inc.
- 21.5. Coveo Solutions Inc.
- 21.6. Insider One
- 21.7. Mutiny
- 21.8. Nosto Solutions Oy
- 21.9. Oracle Corporation
- 21.10. Salesforce, Inc.
- 21.11. SAP SE
- 21.12. Other Key Players

Note* - This is just tentative list of players. While providing the report, we will cover more number of players based on their revenue and share for each geography

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