Overview and Scope
Artificial intelligence (AI)-based personalization refers to the use of artificial intelligence technologies and algorithms to tailor and customize content, services, or experiences for individual users. The goal is to provide a more personalized and relevant interaction based on the specific preferences, behaviors, and characteristics of each user.
Sizing and Forecast
The artificial intelligence (AI) based personalization market size has grown strongly in recent years. It will grow from $472.15 billion in 2023 to $498.22 billion in 2024 at a compound annual growth rate (CAGR) of 5.5%. The growth in the historic period can be attributed to Increasing Data Availability, Rise in E-Commerce, Growing Digitalization, Improved User Engagement, and Cross-Industry Adoption.
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The artificial intelligence (ai) based personalization market covered in this report is segmented –
1) By Type: Website Personalization, Display Ads Personalization, Social Media Personalization, E-Mail Personalization
2) By Technology: Machine Learning And Deep Learning, Natural Language Processing, Other Technologies
3) By Application: Travel, Retail, Media And Entertainment, Other Applications
North America was the largest region in the artificial intelligence (Ai) based personalization market in 2023. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the artificial intelligence (ai) based personalization market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
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Major Driver Impacting Market Growth
The increasing inclination towards artificial intelligence by businesses is expected to propel the growth of the artificial intelligence (AI)-based personalization market going forward. Artificial intelligence refers to the development and implementation of computer systems that can perform tasks that typically require human intelligence. The combination of advanced algorithms, real-time capabilities, and a holistic understanding of customer journeys positions AI-driven personalization as a prominent strategy for businesses aiming to provide tailored and engaging experiences to their audience. For instance, in May 2022, according to the International Business Machines Corporation (IBM), a US-based technology company, around 35% of businesses worldwide used artificial intelligence (AI) in 2022, which is an increase of 4% from 2021. In addition, there was a 13% increase in organizations adopting artificial intelligence (AI) in 2022 compared to 2021. Therefore, the increasing inclination towards artificial intelligence use by businesses will drive the growth of the artificial intelligence (AI)-based personalization market.
Key Industry Players
Major companies operating in the artificial intelligence (ai) based personalization market report are Amazon.com Inc., Apple Inc., Alphabet Inc. (Google), Microsoft Corp., Meta Platforms Inc., Accenture Plc, International Business Machines Corp. (IBM), Oracle Corporation, SAP SE, Salesforce.com Inc., McDonald Corp., Adobe Systems Inc., Twilio, Verint Systems Inc., Bounteous Inc., BloomReach Inc., Sitecore Holding II AS, RichRelevance, Coveo, Crownpeak Technology Inc., Dynamic Yield Ltd., Blueshift Labs Inc., Reflektion, mParticle Inc., ViSenze Pte. Ltd., H2O.ai Inc., Infinite Analytics Inc
The artificial intelligence (ai) based personalization market report table of contents includes:
1. Executive Summary
2. Artificial Intelligence (AI) Based Personalization Characteristics
3. Artificial Intelligence (AI) Based Personalization Trends And Strategies
4. Artificial Intelligence (AI) Based Personalization – Macro Economic Scenario
5. Global Artificial Intelligence (AI) Based Personalization Size and Growth
…..
32. Global Artificial Intelligence (AI) Based Personalization Competitive Benchmarking
33. Global Artificial Intelligence (AI) Based Personalization Competitive Dashboard
34. Key Mergers And Acquisitions In The Artificial Intelligence (AI) Based Personalization
35. Artificial Intelligence (AI) Based Personalization Future Outlook and Potential Analysis
36. Appendix
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