A survey conducted worldwide in 2024 among companies with an annual revenue higher than 100 million U.S. dollars shows the B2B users' opinion on product configuration tools. Buyers expect to have product configuration tools that can help them finalize the online orders, but only ** percent of them found these tools very easy to use.

The User Interface (UI) Design market has seen remarkable evolution, becoming a critical component in the development of digital experiences across industries. As organizations strive to create seamless interactions between users and technology, UI design serves as the bridge, enhancing usability and accessibility i

The EGFE dataset is a collection of high-quality UI design prototypes with fragmented layered data. It includes high-fidelity UI screenshots and JSON files containing metadata of the design prototypes. This dataset aims to assist in merging fragmented elemetns within design prototypes, thereby alleviating the burden on developers to understand the designer's intent and aiding automated code generation tools in producing high-quality frontend code. What sets this dataset apart from others is the methodology employed to obtain UI screenshots and the hierarchical structure of views, which involves parsing UI design prototypes created using design tools like Sketch and Figma. It's important to note that a significant portion of the UI design drafts used in this dataset was generously provided by Alibaba Group, and their usage requires consent from Alibaba Group. To facilitate model testing, we have released a partial dataset here, adhering to the terms of the MIT license. If you require access to the complete dataset, please contact the authors of the paper.

In this repo, we release a total of 300 samples and pre-trained model checkpoints. It includes the following:

• xxx-assets.png: image of stacked elements
• xxx.json: properties of UI elements
• xxx.png: screenshot of high-fidelity UI design prototypes
• pre-trained model.7z: It includes model checkpoints, tensorboard logs for visualization, and also a log.txt file.

User Experience (UX) Market size was valued at USD 9958.02 Million in 2024 and is projected to reach USD 33190.79 Million by 2031, growing at a CAGR of 16.24% from 2024 to 2031.Global User Experience (UX) Market DriversDigital Transformation and Customer Focus: Businesses across industries are undergoing digital transformation, prioritizing a customer-centric approach. This creates a need for exceptional user experiences across all digital touchpoints (websites, apps, etc.) to drive engagement, loyalty, and brand reputation.Rising Mobile Device Usage and App Reliance: The ever-increasing use of mobile devices and the growing dependence on apps necessitate user-friendly and intuitive interfaces. This fuels the demand for UX expertise in designing mobile-first experiences.Intensified Competition and Differentiation: The competitive landscape across various industries is fierce. Businesses leverage UX design as a key differentiator, creating user experiences that are not only functional but also enjoyable and memorable.Evolving User Expectations and Demand for Usability: Modern users expect intuitive and seamless interactions with digital products. They are less tolerant of clunky interfaces or confusing functionalities, making UX design crucial for user satisfaction and product success.Growing Recognition of UX ROI: Businesses are increasingly recognizing the return on investment (ROI) associated with UX design. Investments in UX can lead to higher conversion rates, improved customer retention, and reduced development costs.The Rise of Design Thinking and User-Centered Design: Design thinking and user-centered design methodologies are becoming mainstream. These approaches emphasize understanding user needs and behaviors, placing UX at the forefront of the product development process.Advancements in Technology and Design Tools: The continuous development of new technologies like Artificial Intelligence (AI) and advancements in design tools are streamlining UX workflows and enhancing the capabilities of UX designers.Focus on Accessibility and Inclusivity: The growing emphasis on accessibility and inclusivity ensures that digital products are usable by everyone, regardless of abilities. UX designers are increasingly incorporating accessibility best practices into their work.Data-Driven Design and User Research: Data plays a crucial role in UX design. User research methods and analytics tools help designers understand user behavior and preferences, allowing for data-driven design decisions that optimize user experience.

This dataset comprises 2,271 entries and provides insights into user interface (UI) and user experience (UX) preferences across various digital platforms. Key information includes user demographics (Name, Age, Gender) and platform preferences (e.g., Twitter, YouTube, Facebook, Website). It captures user experiences and satisfaction levels with various UI/UX elements such as color schemes, visual hierarchy, typography, multimedia usage, and layout design. The dataset also includes evaluations of mobile responsiveness, call-to-action buttons, form usability, feedback/error messages, loading speed, personalization, accessibility, and interactions (like scrolling behavior and gestures). Each UI/UX component is rated on a scale, allowing for quantitative analysis of user preferences and experiences, making this dataset valuable for research in user-centered design and usability optimization.

In 2021 in Australia, the average salary of a senior user experience designer was *** thousand Australian dollars. By comparison, the average salary for a junior user experience designer was ** thousand Australian dollars.

Context

Data-driven models help mobile app designers understand best practices and trends, and can be used to make predictions about design performance and support the creation of adaptive UIs. This paper presents Rico, the largest repository of mobile app designs to date, created to support five classes of data-driven applications: design search, UI layout generation, UI code generation, user interaction modeling, and user perception prediction. To create Rico, we built a system that combines crowdsourcing and automation to scalably mine design and interaction data from Android apps at runtime. The Rico dataset contains design data from more than 9.3k Android apps spanning 27 categories. It exposes visual, textual, structural, and interactive design properties of more than 66k unique UI screens. To demonstrate the kinds of applications that Rico enables, we present results from training an autoencoder for UI layout similarity, which supports query-by-example search over UIs.

Content

Rico was built by mining Android apps at runtime via human-powered and programmatic exploration. Like its predecessor ERICA, Rico’s app mining infrastructure requires no access to — or modification of — an app’s source code. Apps are downloaded from the Google Play Store and served to crowd workers through a web interface. When crowd workers use an app, the system records a user interaction trace that captures the UIs visited and the interactions performed on them. Then, an automated agent replays the trace to warm up a new copy of the app and continues the exploration programmatically, leveraging a content-agnostic similarity heuristic to efficiently discover new UI states. By combining crowdsourcing and automation, Rico can achieve higher coverage over an app’s UI states than either crawling strategy alone. In total, 13 workers recruited on UpWork spent 2,450 hours using apps on the platform over five months, producing 10,811 user interaction traces. After collecting a user trace for an app, we ran the automated crawler on the app for one hour.

Acknowledgements

UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN https://interactionmining.org/rico

Inspiration

The Rico dataset is large enough to support deep learning applications. We trained an autoencoder to learn an embedding for UI layouts, and used it to annotate each UI with a 64-dimensional vector representation encoding visual layout. This vector representation can be used to compute structurally — and often semantically — similar UIs, supporting example-based search over the dataset. To create training inputs for the autoencoder that embed layout information, we constructed a new image for each UI capturing the bounding box regions of all leaf elements in its view hierarchy, differentiating between text and non-text elements. Rico’s view hierarchies obviate the need for noisy image processing or OCR techniques to create these inputs.

The User Experience (UX) Design Services market is an integral component of the digital landscape, focusing on enhancing user satisfaction by improving the usability, accessibility, and pleasure provided in the interaction between users and products. With the rapid shift towards digital platforms across industries,

The UI/UX design services market has emerged as a pivotal sector within the technology landscape, focusing on creating intuitive and engaging interfaces that enhance user experiences across digital platforms. As businesses increasingly recognize the importance of user-centric design, the demand for skilled UI/UX des

As per Cognitive Market Research's latest published report, the Global User Experience (UX) Research Software market size will be $342.57 Million by 2027. User Experience (UX) Research Software Industry's Compound Annual Growth Rate will be 8.98% from 2023 to 2030.

The Europe User Experience (UX) Research Software market size is expected to reach USD 116.51 Million by 2027.

Factors Affecting User Experience UX Research Software market growth

Growing e-commerce business:

E-commerce provides a platform for people to buy or sell whatever they want, whenever they want. E-commerce now plays a vital role in our daily lives. Over the years, eCommerce has evolved in profound ways. Consumers are usually in search of product offers at very affordable or discount prices. Personalization holds a higher command on customer engagement. Customers frequently encounter new product offers that match their interests and they can get with simple taps of buttons, without having to move their feet. A great e-commerce user experience design gets shoppers through the process effectively. The core idea of a typical user experience (UX) design is to get inside the head of end user and figure out what will provide them a simple, logical, and enjoyable shopping experience. UX design plays a pivotal role in the success or failure of any ecommerce activity, and it is not just limited to aesthetics. Right from thorough logic and transitions to simple and clear micro-interactions, fast feedback from the system, attractive product presentation, easy payment flow and a bunch of intuitive features, every such single aspect can directly or indirectly affect ecommerce. Taking feedback from the consumers also plays important role in building e-commerce. User experience helps to take feedback from the consumer or user and also helps to solve the query of the user. Therefore the growing use of e-commerce drives the growth of the market.

Market Dynamics of

User Experience UX Research Software Market

Key Drivers of

User Experience UX Research Software Market

Increasing Demand for User-Focused Design : As organizations place greater emphasis on user satisfaction, there is an escalating requirement for UX research tools to collect insights regarding customer behavior. These tools assist companies in creating more intuitive and user-friendly products, thereby enhancing the adoption of UX research software across various sectors such as e-commerce, SaaS, and mobile applications.

Expansion of Digital Platforms and Applications : With the growth of mobile applications, websites, and digital platforms, businesses must ensure smooth user experiences to maintain competitiveness. UX research software empowers developers and designers to evaluate usability, collect feedback, and refine interfaces, thereby fueling demand in both startups and established enterprises.

Incorporation of AI and Automation Technologies : The incorporation of AI and automation within UX research platforms facilitates quicker data analysis, behavior monitoring, and usability testing. These sophisticated features allow organizations to make data-informed design choices more effectively, significantly enhancing software adoption in technology-driven industries.

Key Restraints in

User Experience UX Research Software Market

High Expenses Associated with Enterprise-Level Software : Comprehensive user experience research platforms can incur significant costs, particularly for small enterprises and startups. Licensing fees, training expenses, and ongoing support costs may restrict adoption, especially in markets sensitive to pricing or among organizations with constrained UX budgets.

Shortage of Skilled Professionals : The effective utilization of UX research tools necessitates proficient analysts and designers who comprehend both the technical and human dimensions of user experience. The lack of qualified professionals can impede the successful implementation and use of UX software within organizations.

Concerns Regarding Data Privacy and User Consent : UX research frequently entails the collection of user data through recordings, surveys, and behavioral tracking. Without rigorous compliance with data protection regulations such as GDPR, companies face potential legal challenges, which may limit the breadth of research and hinder market expansion.

Key Trends of

User Experi...

The UX (User Experience) and UI (User Interface) design tools market has witnessed significant evolution over the past several years, becoming a vital component for businesses seeking to enhance their digital presence and customer interaction. Primarily used by designers to create seamless, user-friendly application

The Advanced Mobile UX Design Services market is rapidly evolving as businesses increasingly recognize the importance of delivering exceptional user experiences on mobile devices. In today's digital landscape, where mobile usage continues to soar, effective UX design becomes pivotal in attracting and retaining custo

The study explores the impact of AI tools on the daily tasks of designers in corporate environments, with a focus on the creation and evaluation processes of design briefs. Given ChatGPT’s advanced natural language processing capabilities and its potential to meet the complex communication and analysis needs of design work, this tool was selected to investigate its application in designers’ workflows. Through expert interviews, experimental testing, and third-party expert evaluations, we collected and analyzed data to understand the impact of AI on work processes. The findings indicate that AI tools significantly enhance both operational experience and subjective perceptions across most tasks. Additionally, the study provides a visual comparison of the testing process through a user experience map, highlighting AI’s positive influence on work efficiency, information retrieval, verification, analysis, communication, and decision-making. However, challenges remain in ensuring information authenticity, protecting content copyright, and maintaining professional identity. The primary objective is to gain a comprehensive understanding of the current state of AI application in business contexts and its impact on designers’ roles. By analyzing real-world feedback, the research aims to identify the strengths and weaknesses of AI solutions in enterprises and offer practical recommendations. The study underscores the importance of integrating AI thinking into workflows and adopting a human-centric approach for the future development of corporate work environments.

The UX Design Services market is experiencing robust growth, driven by the increasing reliance on digital platforms and the consequent demand for user-centric design solutions. The market, estimated at $50 billion in 2025, is projected to expand at a Compound Annual Growth Rate (CAGR) of 15% from 2025 to 2033, reaching approximately $150 billion by 2033. This growth is fueled by several key factors, including the rising adoption of mobile devices, the expanding e-commerce landscape, and the growing awareness among businesses of the importance of a positive user experience for brand loyalty and conversions. Furthermore, the increasing complexity of software and applications necessitates specialized UX design expertise to ensure seamless and intuitive user interactions. Leading companies like Omnicom Group and others mentioned are actively investing in this sector, indicating the market’s strong potential. However, the market faces some challenges. Competition among UX design firms is intense, requiring constant innovation and adaptation to emerging technologies and design trends. The fluctuating global economy can also impact client budgets and project timelines. Despite these restraints, the long-term outlook for UX design services remains positive, supported by the ongoing digital transformation across various industries. The diverse range of services offered, from website design to mobile app development and UX research, ensures market resilience and opportunities for continued expansion. Segmentation within the market, while not explicitly defined in the provided data, is likely based on industry vertical, service offering, and geographic location, all contributing to the market’s overall complexity and growth trajectory.

The global Website User Interface (UI) Design market is experiencing robust growth, projected to reach a market size of $46 million in 2025, with a Compound Annual Growth Rate (CAGR) of 12.3% from 2025 to 2033. This expansion is driven by several key factors. The increasing reliance on digital platforms across all sectors – enterprise, government, and private – fuels demand for intuitive and user-friendly interfaces. Furthermore, the burgeoning mobile market necessitates responsive design capabilities, driving adoption of specialized UI design services. Emerging trends like AI-powered design tools and a focus on accessibility and inclusive design are further shaping the market landscape. While data security concerns and the need for skilled designers pose certain restraints, the overall market trajectory indicates a significant expansion opportunity. Segmentation reveals a strong preference for mobile UI design, reflecting the mobile-first approach prevalent in modern web development. Major players like Seller's Bay, WebFX, and Appnovation are actively contributing to market growth through innovative solutions and strategic acquisitions. Geographical analysis reveals strong performance across North America and Europe, with Asia-Pacific emerging as a significant growth region driven by increasing internet penetration and digital adoption. The projected market value indicates continued growth throughout the forecast period (2025-2033). This expansion is anticipated to be fueled by increasing investment in user experience (UX) and UI design, driven by a growing understanding of its direct impact on user engagement and conversion rates. The competitive landscape is characterized by both established players and emerging startups offering a diverse range of services. The industry is also witnessing increased collaboration between UI/UX designers and developers to enhance the overall effectiveness of website design. Sustained innovation in design methodologies and technological advancements will play a crucial role in shaping the future growth trajectory of the market, particularly in areas like augmented reality (AR) and virtual reality (VR) integrations. The ongoing focus on personalization and data-driven design will further contribute to the market's expansion.

The UX repository market is experiencing robust growth, driven by the increasing demand for efficient user experience (UX) research and design processes across diverse industries. The market's expansion is fueled by several key factors: the rising adoption of agile methodologies, the need for improved collaboration among design teams, and the growing importance of data-driven decision-making in UX design. The cloud-based segment dominates the market due to its scalability, accessibility, and cost-effectiveness, while the on-premises segment continues to cater to organizations with stringent data security requirements. Key application areas include government, retail and e-commerce, healthcare, BFSI, and technology sectors, each contributing significantly to market revenue. While North America and Europe currently hold a significant market share, the Asia-Pacific region is projected to witness substantial growth in the coming years, driven by increasing digitalization and technological advancements. Competitive forces within the market are intense, with numerous players offering a range of solutions catering to varied needs and budgets. However, factors such as the initial investment required for implementation, the need for specialized skills to effectively manage UX repositories, and data security concerns could potentially restrain the market's growth to some extent. The forecast period (2025-2033) anticipates a continued upward trajectory for the UX repository market, with a projected Compound Annual Growth Rate (CAGR) influenced by the factors outlined above. The market will likely see increased consolidation as larger players acquire smaller companies, leading to more comprehensive and integrated solutions. Furthermore, advancements in artificial intelligence (AI) and machine learning (ML) are expected to further enhance the capabilities of UX repositories, leading to more efficient and effective UX design workflows. The development of advanced analytics and reporting features within these repositories will also contribute to a more data-driven approach to UX design and iterative improvements. Continuous innovation in the market is likely to create new opportunities for vendors while pushing the boundaries of user experience design and research.

Explore the progression of average salaries for graduates in Ux Design from 2020 to 2023 through this detailed chart. It compares these figures against the national average for all graduates, offering a comprehensive look at the earning potential of Ux Design relative to other fields. This data is essential for students assessing the return on investment of their education in Ux Design, providing a clear picture of financial prospects post-graduation.

A narrative literature review was conducted to identify 50 most cited research articles on user experience (UX). The focus on finding UX definitions that can be divided into dimensions via conceptual analysis to create of a conceptual analysis framework of UX dimensions that can be utilised in analysing different experience concepts for developing the concept of total experience (TX). ACM Digital Library was utilized as the database. Research articles were selected based on the following inclusion and exclusion criteria. In the ACM Digital Library database, “User Experience” was used as a search keyword. The search resulted in a total of 30,723 publications. Due to a large number of publications, the results were sorted so that UX was mentioned in full text, abstract, keywords, and cited by highest. Then the 50 most referenced studies were selected and scanned carefully through titles and abstracts, and then through our research question. The main focus was on finding and selecting articles that focus on UX in a technology-interaction context.  Only publications in which the authors explicitly mention UX in the context of HCI were included. Papers studying UX from a technology driven perspective were not included, because we wanted to focus on how human experiences are created and shaped in technology interaction. Also, publications included for in the analysis had to be original full papers and written in English. Out of the 50 most cited articles, 3 articles were found that we have already cited in our initial framework. At this point, we excluded articles that did not focus on experiences with technology. Also, we excluded 23 research articles that focused either on UX design and evaluation methods, or children´s UX. After that, a full-text review was performed, and 10 research articles were found that focused on UX design in specific technology development context but did not include definition of how UX was defined. The contexts were wearable mobile augmented reality system, driving simulator, mobile devices equipped with Near-Field Communication, viewing sports videos on mobile phones, recommended system, immersive gaming, mobile network performance on social media, a robot privacy and face enrolment system on a humanoid robot, interactive television and panoramic video in CAVE-like environment and head mounted display viewing conditions. Then we selected the articles that were included in this review. A total of 14 primary UX research articles (out of 389 research articles) were included for detailed analysis based on defined inclusion and exclusion criteria.  In the literature review data all the 50 most cited articles are listed and 14 included to further analysis are marked with an asterisk.

AI-Assisted UX Design Market Outlook

According to our latest research, the AI-Assisted UX Design market size reached USD 2.1 billion globally in 2024, demonstrating strong momentum driven by technological advancements and increasing digital transformation initiatives. The market is projected to grow at a robust CAGR of 21.7% from 2025 to 2033, reaching an estimated value of USD 15.2 billion by 2033. This substantial growth is primarily fueled by the escalating demand for intuitive digital experiences, rapid adoption of AI-driven design tools, and the need for scalable, efficient UX solutions across industries.

A primary growth factor for the AI-Assisted UX Design market is the accelerating pace of digital transformation across industries. As enterprises strive to enhance their digital presence, AI-powered UX design tools are increasingly being adopted to streamline workflows, automate repetitive tasks, and deliver highly personalized user experiences. The integration of machine learning algorithms and natural language processing in UX design platforms enables designers to generate user-centric interfaces more efficiently, reducing time-to-market and operational costs. Furthermore, the proliferation of omnichannel digital touchpoints requires businesses to maintain consistency and coherence in user experiences, a challenge that AI-assisted tools are uniquely positioned to address.

Another significant driver is the growing complexity of user expectations and the need for data-driven design decisions. Modern consumers demand seamless, intuitive, and engaging digital interactions, compelling organizations to leverage AI to analyze user behavior, preferences, and feedback at scale. AI-assisted UX design platforms can process vast amounts of data, uncovering actionable insights that inform iterative design improvements. This data-centric approach not only enhances the quality of user interfaces but also drives higher user satisfaction, engagement, and retention rates. As digital ecosystems become more sophisticated, the reliance on AI to optimize UX design processes is expected to intensify further.

The surge in remote work and distributed teams has also contributed to the growth of the AI-Assisted UX Design market. With design teams operating across different geographies, AI-driven collaboration tools facilitate real-time feedback, version control, and prototyping, ensuring seamless coordination and productivity. Additionally, the democratization of AI-powered UX tools enables non-designers and small businesses to participate in the design process, expanding the addressable market. Increased investment in research and development by leading technology vendors, coupled with the emergence of AI-powered design platforms tailored for specific industries, is further propelling market expansion.

Regionally, North America continues to dominate the AI-Assisted UX Design market, accounting for the largest revenue share in 2024, followed by Europe and Asia Pacific. The strong presence of technology giants, high digital adoption rates, and a mature ecosystem for AI innovation are key contributors to North America’s leadership. Meanwhile, Asia Pacific is poised for the fastest growth, driven by rapid digitalization, expanding e-commerce, and government initiatives to promote AI adoption. Europe remains a significant market, benefiting from a strong focus on user-centric design and regulatory frameworks that encourage innovation while safeguarding user privacy. Other regions, including Latin America and the Middle East & Africa, are also witnessing steady growth as businesses increasingly recognize the value of AI-assisted UX design solutions.

Component Analysis

The AI-Assisted UX Design market by component is bifurcated into Software and Services. The software segment encompasses AI-powered design tools, platforms, and frameworks that automate various aspects of the UX design process, such as wireframing, prototyping, user testing, and analytics. In 2024, the software segment held the majority market share, reflecting the widespread adoption of cloud-based and on-premises AI design solutions by enterprises of all sizes. Leading software vendors are continuously enhancing their offerings with advanced features such as predictive analytics, generative design, and adaptive user interfaces, which are increasingly regarded as essential for maintaining a competitive edge in digital pro

In 2022, the total number of web developers and digital interface designers in the United States was around *** thousand. By 2032, this number is forecast to reach over *** thousand. Web developers and digital interface designers are responsible for the design and development of websites or interfaces including the overall layout, graphics, font type, etc.