A February 2020 survey of marketers in the United States and the United Kingdom asked respondents how extensive they thought personalization was in their organization. According to ** percent of participating marketers the digital content of their company was extensively personalized, with ** percent saying their personalization was very extensive.

In a survey concluded in March 2020, among marketers in the United States, respondents were asked about the type of tools they used to execute personalization across their channels. According to the findings, ** percent of survey participants were using e-mail marketing solutions and the same share used an A/B testing tool. Some ** percent of marketers indicated using a customer data platform (CDP).

During a survey of U.S marketers concluded in March 2020, respondents were asked about the leading benefits they saw from using personalization. According to the findings, ** percent of survey participants saw increased conversion rates as the main benefit of personalization, whereas ** percent cited increased e-commerce revenues as the main benefit of this tactic.

In a survey concluded in March 2020, gauging the use of personalization among marketers in the United States, it was found that ** percent of responding marketers were using personalization in e-mail marketing, compared to ** percent who were using personalization in mobile apps. Website personalization was used by ** percent of survey participants.

In a March 2020 survey of marketers in the United States, gauging their usage of personalization, it was found that the use of machine learning or algorithmic approach to personalization was growing in popularity among respondents. In 2018, ** percent of survey participants said they used machine learning for personalization, while in 2020 this share grew to ** percent. At the same time triggered messages maintained a fairy steady usage rate over the three years.

Currently, machine learning applications in marketing allow to optimize strategies, personalize experiences and improve decision making. However, there are still several research gaps, so the objective is to examine the research trends in the use of machine learning in marketing. A bibliometric analysis is proposed to assess the current scientific activity, following the parameters established by PRISMA-2020. Machine learning applications in marketing have experienced steady growth and increased attention in the academic community. Key references, such as Miklosik and Evans, and prominent journals, such as IEEE Access and Journal of Business Research, have been identified. A thematic evolution towards big data and digital marketing is observed, and thematic clusters such as "digital marketing", "interpretation", "prediction", and "healthcare" stand out. These findings demonstrate the continued importance and research potential of this evolving field.

During a February 2020 survey of marketers in the United States and the United Kingdom respondents were asked about the share of their digital marketing budget devoted to personalization efforts. Around ** percent of respondents were devoting more than half of their budgets to personalization, and ** percent spending less than ** percent on these tactics.

In 2021, the global revenue of the customer experience personalization and optimization software and services industry was estimated at *** billion U.S. dollars, and the source projected that it would increase to **** billion by 2026. That represents an increase of over ** percent in the presented period.

The Personalized or Custom Gift market is expected to grow from USD X.X million in 2020 to USD X.X million by 2026, at a CAGR of X.X% during the forecast period.

Personalized Nutrition Market has valued at USD 12.50 billion in 2024 & is anticipated to project impressive growth with a CAGR of 16.40% through 2030F

In a ************* survey, marketers from the U.S and the UK were asked about the cases they were aiming to solve with the use of personalization. The results show that ** percent of marketing respondents used personalization to recommend products to purchase. Also ** percent said they were using personalization in predictive customer service.

The global personalized retail nutrition and wellness market was valued at USD 1.63 billion in 2019 and is anticipated to register an estimated USD 3.45 billion by 2027, expanding at a CAGR of nearly 9.4% during the forecast period, 2020–2027. The growth of the market is attributed to rising preference for customized nutritious foods among the health-conscious population.
Personalized retail nutrition and wellness can be referred to a range of customized food products that offer high nutritious values and help wellness. Considering the growing awareness level of health benefit products among consumers, the demand for personalized nutrition and retail of functional foods are rising substantially in a view to maintaining body fitness and health. This leads to the growth of dietary supplements demand worldwide.

Market Drivers, Restraints, Trends, and Opportunities

• Increasing number of health-conscious population and rising demand for personalized retail nutritious products are anticipated to boost the overall market development over the analysis years.
• Wide prevalence of severe health conditions including chronic illness and growing number of the aging population globally are expected to drive the market growth during the forecast period.
• Rapid growth of food technology and growing clinical trials for the development of personalized nutrition are estimated to fuel the market expansion in the coming years.
• Rising cost of dietary supplements and nutraceutical products is projected to restrain the market development during the targeted years.
• The market growth between 2019 and 2020 has been affected due to the adverse impact of the COVID-19 pandemic and the trend is expected to continue till mid-2021.
• R&D investment from key players is expected to generate immense opportunities for market expansion during the projected period.

Scope of the Report

Global Jewelry Customization Service is segmented by Application (Bulk Purchasing, Exclusive Discounts, Early Access to Products, Free Shipping, Personalized Offers), Type (Warehouse Clubs, Online Memberships, Hybrid Models, Specialty Memberships, Tiered Memberships) and Geography(North America, LATAM, West Europe, Central & Eastern Europe, Northern Europe, Southern Europe, East Asia, Southeast Asia, South Asia, Central Asia, Oceania, MEA)

During a survey conducted among consumers in the United States and the United Kingdom in February 2020, participants were asked if the use of personalization has an effect on their brand perception. According to ** percent of respondents brands using personalized experiences made a much more positive impression on them. Conversely, ***** percent said that such brands had a much more negative effect on them.

Global Gift Customization Service is segmented by Application (Corporate Gifting, Personal Celebrations, Promotional Events, E-commerce Platforms, Retail Stores), Type (Photo Gifts, Engraved Items, Custom Apparel, Personalized Accessories, Customized Home Décor) and Geography(North America, LATAM, West Europe, Central & Eastern Europe, Northern Europe, Southern Europe, East Asia, Southeast Asia, South Asia, Central Asia, Oceania, MEA)

According to Cognitive Market Research, the global AI-based personalised Stylist market size will be USD 101.5 million in 2024. It will expand at a compound annual growth rate (CAGR) of 38.30% from 2024 to 2031.

North America held the major market share for more than 40% of the global revenue with a market size of USD 40.60 million in 2024 and will grow at a compound annual growth rate (CAGR) of 36.5% from 2024 to 2031.
Europe accounted for a market share of over 30% of the global revenue with a market size of USD 30.45 million.
Asia Pacific held a market share of around 23% of the global revenue with a market size of USD 23.35 million in 2024 and will grow at a compound annual growth rate (CAGR) of 40.3% from 2024 to 2031.
Latin America had a market share of more than 5% of the global revenue with a market size of USD 5.08 million in 2024 and will grow at a compound annual growth rate (CAGR) of 37.7% from 2024 to 2031.
Middle East and Africa had a market share of around 2% of the global revenue and was estimated at a market size of USD 2.03 million in 2024 and will grow at a compound annual growth rate (CAGR) of 38.0% from 2024 to 2031.
The mobile apps category is the fastest growing segment of the AI-Based Personalized Stylist industry

Market Dynamics of AI-Based Personalized Stylist Market

Key Drivers for AI-Based Personalized Stylist Market

Rising Demand for Personalized Fashion Recommendations to Boost Market Growth

The market for personalized fashion recommendations is being driven by several key factors; The development of sophisticated algorithms that analyze vast amounts of consumer data (browsing habits, purchase history, body measurements, and even social media activity) enables more accurate and relevant fashion recommendations. This technological evolution is a key factor driving growth. Providing accurate and effective personalized recommendations relies on the quality of consumer data. Retailers may struggle with integrating data from different sources, leading to less effective personalization efforts and customer dissatisfaction. These drivers and restraints are shaping the growth trajectory of personalized fashion recommendations, as companies navigate the balance between innovation and addressing consumer concerns. For instance, to advance its personal recommendation technology, Lily AI raised capital in 2020. Personalized e-commerce experiences are presented by Lily AI through the use of "deep product data and anonymized customer behavior data," the business claimed. It has raised $12.5 million in Series A funding.

Advancements in machine learning algorithms

The availability of big datasets, advances in deep learning architectures, and rising computing power are the main forces behind developing machine learning algorithms. Scalable, rapid model training is made possible by distributed systems and cloud computing. The need for increasingly complex algorithms is fueled by the growth of artificial intelligence (AI) in sectors including healthcare, finance, and autonomous systems. Furthermore, data accessibility, open-source frameworks, and rising research and development expenditures in artificial intelligence fuel ongoing innovation and the real-world use of sophisticated machine learning models.

Restraint Factor for the AI-Based Personalized Stylist Market

High development costs limit accessibility for small-scale fashion retailers

Small-scale fashion stores have a considerable obstacle in the form of high development costs, which restrict their access to cutting-edge technologies and creative design methodologies. These merchants frequently have tight budgets, making it difficult for them to invest in cutting-edge production equipment, eco-friendly materials, and online marketing and sales platforms. Their growth potential is further limited by significant expenses related to supply chain management, branding, and scalability, which puts them at a disadvantage compared to larger, more financially stable competitors.

Key Trends for the AI-Based Personalized Stylist Market

Growing Demand for Hyper-Personalized Fashion

Consumers increasingly seek AI stylists that offer outfit suggestions tailored to their style, body type, and preferences. These tools use data-driven insights to deliver quick, customized looks, appealing especially to Gen Z and Millennial users looking for convenience and individuality in fashion choices.

In...

The global personalized therapy biosimulation market size reached USD 1,061.7 Million in 2020 and is expected to reach USD 3,164.1 Million in 2028 registering a CAGR of 14.6%. Personalized therapy biosimulation industry report classifies global market by share, trend, growth and on the basis of prod...

The size of the U.S. Personalized Nutrition & Supplements Market was valued at USD XX Million in 2023 and is projected to reach USD XXX Million by 2032, with an expected CAGR of 16.28 % during the forecast period. The U.S. market for personalized nutrition and supplements is growing significantly, fueled by the growing interest of consumers in health, wellness, and customized dietary solutions. Personalized nutrition refers to the use of individual data, such as genetics, lifestyle, and health conditions, to create tailored nutrition plans and supplements that meet specific needs. With increased health consciousness, people are seeking solutions for perfect well-being. Products related to individual dietary needs-such as weight management, immune support, or gut health-are increasingly in demand. Technology advances, especially AI-driven platforms and genetic testing, have made personal nutrition more accessible and affordable, further driving market expansion. Rising trends on preventive healthcare and natural organic plant-based supplements also encourage this demand. The awareness along with the growing consumer group has led to further expectation for the U.S. market of personalized nutrition and supplements, which would give the best innovative customized approaches toward health improvement. Recent developments include: In November 2022, IFF announced plans to accelerate its entry into the personalized nutrition sector through a strategic partnership with Salus Optima, a UK-based digital company specializing in personalized nutrition, health, and wellness. The partnership will initially focus on metabolic health, targeting conditions such as obesity, pre-diabetes, high cholesterol, and pre-hypertension. , In September 2020, Viome introduced Viome Precision Supplements, a personalized formula based on cellular, mitochondrial, and gut microbiome health data. It was the first to offer at-home retesting 2 to 3 times a year, enabling consumers to monitor health improvements and receive updated formulas based on their body's response. , In January 2020, Nestlé Health Science’s Atrium Innovations acquired LivingMatrix, a personalized functional medical platform that uses technology-based data and algorithms to support healthcare providers. .

The Global Personalized Nutrition And Supplements market was valued at USD 54.17 Billion in 2024 and is expected to reach USD 113.93 Billion by 2030 with a CAGR of 13.15%.

Global Cell Culture Media Customization is segmented by Application (Biotechnology, Pharmaceuticals, Clinical Research), Type (Biotech Solutions, Testing Services, Research Services) and Geography(North America, LATAM, West Europe, Central & Eastern Europe, Northern Europe, Southern Europe, East Asia, Southeast Asia, South Asia, Central Asia, Oceania, MEA)