Industry: Service & Software
Published Date: 2026-07-14
Pages: 119 Pages
Report ld: 6915965
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The global market for Artificial Intelligence-based Personalization was estimated to be worth US$ million in 2025 and is projected to reach US$ million, growing at a CAGR of %from 2026 to 2032.
Artificial intelligence-based personalization is a software that uses artificial intelligence to provide the right content at the right time for individual site visitors, based on what they have seen or consumed in the past search.Artificial intelligence-based personalization software creates data models to derive insights and in turn builds prescriptive or predictive decision engines. End-users use artificial intelligence-based personalization software to make better data-driven decisions and for forecasting the demand.
As an important force driving a new round of scientific and technological revolution, artificial intelligence has been of national strategic importance. Many governments introduces polices and increase capital investment to support AI companies. The Digital Europe plan adopted by the European Union will allocate €9.2 billion on high-tech investments, such as supercomputing, artificial intelligence, and network security. In order to maintain its leading position, the United States will increase its investment in artificial intelligence research and development in non-defense fields, from US$1.6 billion to US$1.7 billion in 2022. According to the latest data released by IDC, global artificial intelligence revenue was US$432.8 billion in 2022, a year-on-year increase of 19.64%, including software, hardware and services.
This report provides a comprehensive view of the global market for Artificial Intelligence-based Personalization, covering total sales revenue, the market share and ranking of key companies, along with analyses by region & country, by Type, and by Application.
The Artificial Intelligence-based Personalization market size, estimations, and forecasts are presented in terms of sales revenue ($ millions), with 2025 as the base year and historical and forecast data from 2021 to 2032. The report combines quantitative and qualitative analysis to help readers develop growth strategies, assess the competitive landscape, evaluate their position in the current marketplace, and make informed business decisions regarding Artificial Intelligence-based Personalization.
MARKET SEGMENTATION
CHAPTER OUTLINE
Chapter 1: Introduces the scope of the report and the global market size (value). It also summarizes market dynamics and recent developments; identifies key drivers and restraints; outlines challenges and risks for players; reviews relevant industry policies.
Chapter 2: Provides a detailed analysis of the Artificial Intelligence-based Personalization companies' competitive landscape—including revenue shares, recent development plans, and mergers and acquisitions (M&A).
Chapter 3: Analyzes market segmentation by Type, presenting the size and growth potential of each segment to help readers identify blue-ocean opportunities.
Chapter 4: Analyzes market segmentation by Application, presenting the size and growth potential of each downstream segment to help readers identify blue-ocean opportunities.
Chapter 5: Presents Artificial Intelligence-based Personalization revenue at the regional level. It offers a quantitative assessment of market size and growth potential by region and summarizes market development, future prospects, addressable space, and country-level market size worldwide.
Chapter 6: Presents Artificial Intelligence-based Personalization revenue at the country level. It provides segmented data by Type and by Application for each country/region.
Chapter 7: Profiles key players, detailing the main companies' product revenue, gross margin, product portfolios, recent developments, etc.
Chapter 8: Analysis of Value Chain, including the upstream and downstream of the industry.
Chapter 9: Conclusion.
QYRESEARCH'S STRENGTHS
Unlike generic global market reports, this study combines macro-level industry trends with hyper-local operational intelligence, empowering data-driven decisions across the Compound Chocolate value chain, addressing:
We identify regional market threats and growth prospects to guide your overseas layout.
We adjust product portfolios in line with local consumption habits.
We unpack rivals’ operation strategies for scattered and highly concentrated industries.
We cover competition landscape, full supply chain and quantified market size data, and deliver tailor-made customized surveys to meet your unique business demands.
We own self-owned massive exclusive databases, backed by 19 years of global market research experience across thousands of sectors.
Our team operates 24 hours a day, 365 days a year, enabling ultra-fast report turnaround to respond to your research needs efficiently.
We integrate regional risk assessment, localized product optimization and competitor analysis to deliver actionable market strategies.
All data is cross-verified from multiple industry sources to deliver thorough, precise analysis that supports reliable corporate strategic decisions.
We provide responsive, dedicated after-sales support to resolve all follow-up inquiries about reports, data and industry interpretation.
TABLE OF CONTENTS
1 Market Overview
1.1 Artificial Intelligence-based Personalization Product Introduction
1.2 Global Artificial Intelligence-based Personalization Market Size Forecast (2021–2032)
1.3 Artificial Intelligence-based Personalization Market Trends & Drivers
1.3.1 Artificial Intelligence-based Personalization Industry Trends
1.3.2 Artificial Intelligence-based Personalization Market Drivers & Opportunities
1.3.3 Artificial Intelligence-based Personalization Market Challenges
1.3.4 Artificial Intelligence-based Personalization Market Restraints
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Competitive Analysis by Company
2.1 Global Artificial Intelligence-based Personalization Players Revenue Ranking (2025)
2.2 Global Artificial Intelligence-based Personalization Revenue by Company (2021–2026)
2.3 Key Companies’ R&D and Operations Footprint and Headquarters
2.4 Key Companies Artificial Intelligence-based Personalization Product Offerings
2.5 Key Companies General Availability (GA) Timeline for Artificial Intelligence-based Personalization
2.6 Artificial Intelligence-based Personalization Market Competitive Analysis
2.6.1 Artificial Intelligence-based Personalization Market Concentration Rate (2021–2026)
2.6.2 Top 5 and Top 10 Global Companies by Artificial Intelligence-based Personalization Revenue in 2025
2.6.3 Global Companies by Tier (Tier 1, Tier 2, Tier 3), based on Artificial Intelligence-based Personalization revenue, 2025
2.7 Mergers & Acquisitions and Expansion
3 Segmentation Artificial Intelligence-based Personalization Market Classification
3.1 Introduction by Type
3.1.1 by Type
3.1.2 by Technology
3.1.3 Global Artificial Intelligence-based Personalization Sales Value by Type
3.1.3.1 Global Artificial Intelligence-based Personalization Sales Value by Type (2021 vs 2025 vs 2032)
3.1.3.2 Global Artificial Intelligence-based Personalization Sales Value, by Type (2021–2032)
3.1.3.3 Global Artificial Intelligence-based Personalization Sales Value, by Type (%), 2021–2032
4 Segmentation by Application
4.1 Introduction by Application
4.1.1 Travel
4.1.2 Retail
4.1.3 Media & Entertainment
4.1.4 Others
4.2 Global Artificial Intelligence-based Personalization Sales Value by Application
4.2.1 Global Artificial Intelligence-based Personalization Sales Value by Application (2021 vs 2025 vs 2032)
4.2.2 Global Artificial Intelligence-based Personalization Sales Value by Application (2021–2032)
4.2.3 Global Artificial Intelligence-based Personalization Sales Value by Application (%), 2021–2032
5 Segmentation by Region
5.1 Global Artificial Intelligence-based Personalization Sales Value by Region
5.1.1 Global Artificial Intelligence-based Personalization Sales Value by Region: 2021 vs 2025 vs 2032
5.1.2 Global Artificial Intelligence-based Personalization Sales Value by Region (2021–2026)
5.1.3 Global Artificial Intelligence-based Personalization Sales Value by Region (2027–2032)
5.1.4 Global Artificial Intelligence-based Personalization Sales Value by Region (%), 2021–2032
5.2 North America
5.2.1 North America Artificial Intelligence-based Personalization Sales Value, 2021–2032
5.2.2 North America Artificial Intelligence-based Personalization Sales Value by Country (%), 2025 vs 2032
5.3 Europe
5.3.1 Europe Artificial Intelligence-based Personalization Sales Value, 2021–2032
5.3.2 Europe Artificial Intelligence-based Personalization Sales Value by Country (%), 2025 vs 2032
5.4 Asia Pacific
5.4.1 Asia Pacific Artificial Intelligence-based Personalization Sales Value, 2021–2032
5.4.2 Asia Pacific Artificial Intelligence-based Personalization Sales Value by Subregion (%), 2025 vs 2032
5.5 South America
5.5.1 South America Artificial Intelligence-based Personalization Sales Value, 2021–2032
5.5.2 South America Artificial Intelligence-based Personalization Sales Value by Country (%), 2025 vs 2032
5.6 Middle East & Africa
5.6.1 Middle East & Africa Artificial Intelligence-based Personalization Sales Value, 2021–2032
5.6.2 Middle East & Africa Artificial Intelligence-based Personalization Sales Value by Country (%), 2025 vs 2032
6 Segmentation by Key Countries/Regions
6.1 Key Countries/Regions Artificial Intelligence-based Personalization Sales Value Growth Trends, 2021 vs 2025 vs 2032
6.2 Key Countries/Regions Artificial Intelligence-based Personalization Sales Value, 2021–2032
6.3 United States
6.3.1 United States Artificial Intelligence-based Personalization Sales Value, 2021–2032
6.3.2 United States Artificial Intelligence-based Personalization Sales Value by Type (%), 2025 vs 2032
6.3.3 United States Artificial Intelligence-based Personalization Sales Value by Application, 2025 vs 2032
6.4 Europe
6.4.1 Europe Artificial Intelligence-based Personalization Sales Value, 2021–2032
6.4.2 Europe Artificial Intelligence-based Personalization Sales Value by Type (%), 2025 vs 2032
6.4.3 Europe Artificial Intelligence-based Personalization Sales Value by Application, 2025 vs 2032
6.5 China
6.5.1 China Artificial Intelligence-based Personalization Sales Value, 2021–2032
6.5.2 China Artificial Intelligence-based Personalization Sales Value by Type (%), 2025 vs 2032
6.5.3 China Artificial Intelligence-based Personalization Sales Value by Application, 2025 vs 2032
6.6 Japan
6.6.1 Japan Artificial Intelligence-based Personalization Sales Value, 2021–2032
6.6.2 Japan Artificial Intelligence-based Personalization Sales Value by Type (%), 2025 vs 2032
6.6.3 Japan Artificial Intelligence-based Personalization Sales Value by Application, 2025 vs 2032
6.7 South Korea
6.7.1 South Korea Artificial Intelligence-based Personalization Sales Value, 2021–2032
6.7.2 South Korea Artificial Intelligence-based Personalization Sales Value by Type (%), 2025 vs 2032
6.7.3 South Korea Artificial Intelligence-based Personalization Sales Value by Application, 2025 vs 2032
6.8 Southeast Asia
6.8.1 Southeast Asia Artificial Intelligence-based Personalization Sales Value, 2021–2032
6.8.2 Southeast Asia Artificial Intelligence-based Personalization Sales Value by Type (%), 2025 vs 2032
6.8.3 Southeast Asia Artificial Intelligence-based Personalization Sales Value by Application, 2025 vs 2032
6.9 India
6.9.1 India Artificial Intelligence-based Personalization Sales Value, 2021–2032
6.9.2 India Artificial Intelligence-based Personalization Sales Value by Type (%), 2025 vs 2032
6.9.3 India Artificial Intelligence-based Personalization Sales Value by Application, 2025 vs 2032
7 Company Profiles
7.1 Alphabet Inc
7.1.1 Alphabet Inc Profile
7.1.2 Alphabet Inc Main Business
7.1.3 Alphabet Inc Artificial Intelligence-based Personalization Products, Services, and Solutions
7.1.4 Alphabet Inc Artificial Intelligence-based Personalization Revenue (US$ Million), 2021–2026
7.1.5 Alphabet Inc Recent Developments
7.2 IBM Corporation
7.2.1 IBM Corporation Profile
7.2.2 IBM Corporation Main Business
7.2.3 IBM Corporation Artificial Intelligence-based Personalization Products, Services, and Solutions
7.2.4 IBM Corporation Artificial Intelligence-based Personalization Revenue (US$ Million), 2021–2026
7.2.5 IBM Corporation Recent Developments
7.3 Amazon.com
7.3.1 Amazon.com Profile
7.3.2 Amazon.com Main Business
7.3.3 Amazon.com Artificial Intelligence-based Personalization Products, Services, and Solutions
7.3.4 Amazon.com Artificial Intelligence-based Personalization Revenue (US$ Million), 2021–2026
7.3.5 Amazon.com Recent Developments
7.4 Microsoft Corporation
7.4.1 Microsoft Corporation Profile
7.4.2 Microsoft Corporation Main Business
7.4.3 Microsoft Corporation Artificial Intelligence-based Personalization Products, Services, and Solutions
7.4.4 Microsoft Corporation Artificial Intelligence-based Personalization Revenue (US$ Million), 2021–2026
7.4.5 Microsoft Corporation Recent Developments
7.5 Oracle Corporation
7.5.1 Oracle Corporation Profile
7.5.2 Oracle Corporation Main Business
7.5.3 Oracle Corporation Artificial Intelligence-based Personalization Products, Services, and Solutions
7.5.4 Oracle Corporation Artificial Intelligence-based Personalization Revenue (US$ Million), 2021–2026
7.5.5 Oracle Corporation Recent Developments
7.6 Accenture Plc
7.6.1 Accenture Plc Profile
7.6.2 Accenture Plc Main Business
7.6.3 Accenture Plc Artificial Intelligence-based Personalization Products, Services, and Solutions
7.6.4 Accenture Plc Artificial Intelligence-based Personalization Revenue (US$ Million), 2021–2026
7.6.5 Accenture Plc Recent Developments
7.7 Cisco System Inc
7.7.1 Cisco System Inc Profile
7.7.2 Cisco System Inc Main Business
7.7.3 Cisco System Inc Artificial Intelligence-based Personalization Products, Services, and Solutions
7.7.4 Cisco System Inc Artificial Intelligence-based Personalization Revenue (US$ Million), 2021–2026
7.7.5 Cisco System Inc Recent Developments
7.8 Apple Inc
7.8.1 Apple Inc Profile
7.8.2 Apple Inc Main Business
7.8.3 Apple Inc Artificial Intelligence-based Personalization Products, Services, and Solutions
7.8.4 Apple Inc Artificial Intelligence-based Personalization Revenue (US$ Million), 2021–2026
7.8.5 Apple Inc Recent Developments
7.9 Adobe
7.9.1 Adobe Profile
7.9.2 Adobe Main Business
7.9.3 Adobe Artificial Intelligence-based Personalization Products, Services, and Solutions
7.9.4 Adobe Artificial Intelligence-based Personalization Revenue (US$ Million), 2021–2026
7.9.5 Adobe Recent Developments
7.10 ZineOne
7.10.1 ZineOne Profile
7.10.2 ZineOne Main Business
7.10.3 ZineOne Artificial Intelligence-based Personalization Products, Services, and Solutions
7.10.4 ZineOne Artificial Intelligence-based Personalization Revenue (US$ Million), 2021–2026
7.10.5 ZineOne Recent Developments
7.11 Frosmo
7.11.1 Frosmo Profile
7.11.2 Frosmo Main Business
7.11.3 Frosmo Artificial Intelligence-based Personalization Products, Services, and Solutions
7.11.4 Frosmo Artificial Intelligence-based Personalization Revenue (US$ Million), 2021–2026
7.11.5 Frosmo Recent Developments
7.12 Dynamic Yield
7.12.1 Dynamic Yield Profile
7.12.2 Dynamic Yield Main Business
7.12.3 Dynamic Yield Artificial Intelligence-based Personalization Products, Services, and Solutions
7.12.4 Dynamic Yield Artificial Intelligence-based Personalization Revenue (US$ Million), 2021–2026
7.12.5 Dynamic Yield Recent Developments
7.13 Sitecore
7.13.1 Sitecore Profile
7.13.2 Sitecore Main Business
7.13.3 Sitecore Artificial Intelligence-based Personalization Products, Services, and Solutions
7.13.4 Sitecore Artificial Intelligence-based Personalization Revenue (US$ Million), 2021–2026
7.13.5 Sitecore Recent Developments
8 Industry Chain Analysis
8.1 Artificial Intelligence-based Personalization Value Chain
8.2 Artificial Intelligence-based Personalization Upstream Analysis
8.2.1 Key Raw Materials
8.2.2 Key Suppliers of Raw Materials
8.2.3 Cost Structure
8.3 Midstream Analysis
8.4 Downstream (Customer) Analysis
8.5 Sales Model and Sales Channelss
8.5.1 Artificial Intelligence-based Personalization Sales Model
8.5.2 Sales Channels
8.5.3 Artificial Intelligence-based Personalization Distributors
9 Research Findings and Conclusion
10 Appendix
10.1 Research Methodology
10.1.1 Methodology/Research Approach
10.1.1.1 Research Programs/Design
10.1.1.2 Market Size Estimation
10.1.1.3 Market Breakdown and Data Triangulation
10.1.2 Data Source
10.1.2.1 Secondary Sources
10.1.2.2 Primary Sources
10.2 Author Details
10.3 Disclaimer
TABLE OF FIGURES
List of Tables
List of Figures
KEY QUESTIONS ADDRESSED BY THE REPORT
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REPORT COVERAGE
DESCRIPTION
OVERVIEW
MARKET SEGMENTATION
CHAPTER OUTLINE
QYRESEARCH'S STRENGTHS
TABLE OF CONTENTS
TABLE OF FIGURES
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