Between January 2023 and December 2024, general assistants were the highest grossing artificial intelligence (AI) apps category, as users worldwide spent around 726 million U.S. dollars on these apps. Core models ranked second, with a global consumer spend of 541 million U.S. dollars. AI-supported graphic editors and generators followed, with consumers spending around 110 million U.S. dollars on these visual-generating apps.

Between January 2023 and December 2024, the United States accounted for over 30 percent share of global consumer spend on artificial intelligence (AI) companion apps. India ranked second, as users based in the region generated more than 24 percent of global consumer spend on AI-supported companion apps. Brazil followed, with 12.4 percent of global spending on companion apps during the same examined period.

In the most recent quarter, the total value of global consumer spend on mobile apps amounted to ***** billion U.S. dollars. This represents a small increase compared to the previous quarter in 2024. Between 2019 and 2024, consumer spend on mobile apps has experienced a constant increase. In 2023, the total consumer spend on mobile apps was of approximately *** billion U.S. dollars.

In 2023, the value of consumer spending on mobile apps in Vietnam amounted to ***** million U.S. dollars, indicating an increase from 2022. In the same year, Vietnamese consumers downloaded approximately *** billion mobile apps in total. Mobile apps usage in Vietnam Vietnam has one of the highest mobile internet and smartphone penetration rates worldwide, providing suitable conditions for a blooming mobile apps market. In 2020, over ** percent of Vietnamese internet users spent at least three hours using mobile apps per day, while the average number of apps used per person in a week reached ***** in 2021. Social media and messaging apps recorded the highest share of mobile application usage among internet users in 2020, with a usage rate of ** percent. On the other hand, games were the most downloaded app category for Android and iOS devices, which are the two main mobile operating systems for smartphones in Vietnam. Zalo Group Zalo Group was the leading Vietnamese app publisher based on total downloads on Google Play as of March 2024. Among its ten released apps, the messaging service Zalo was the most successful one, which has consistently been one of the most popular social media apps in Vietnam. In 2020, this mobile app had ** million monthly active users in the country, making it the social media app with the second-highest number of users after Facebook.

In 2023, the overall consumer spending on sports apps in India amounted to more than ************* U.S. dollars. Of this, over *********** dollars were contributed by the live sports segment. It was also worth noting that fantasy sports accounted for the least consumer spend, despite contributing the highest number of sports app downloads that year.

Spending on AI and Analytics in Retail Market Outlook

The global spending on AI and analytics in the retail market size is projected to grow from $7.3 billion in 2023 to $27.2 billion by 2032, registering a robust CAGR of 15.8% during the forecast period. The significant growth factor driving this market is the increasing need for retailers to leverage advanced technologies for enhancing customer experience, optimizing operations, and gaining a competitive edge.

One of the primary growth factors of this market is the increasing adoption of AI-driven customer experience management solutions. Retailers are increasingly utilizing AI and analytics to provide personalized shopping experiences, which in turn boosts customer satisfaction and loyalty. Advanced analytics enable businesses to gather and analyze vast amounts of customer data, providing insights into consumer preferences and behavior, thus allowing for the creation of tailored marketing campaigns and product recommendations.

Another critical driver is the optimization of inventory management through AI and analytics. Efficient inventory management is crucial for retail operations as it minimizes costs associated with overstocking and stockouts. AI solutions can forecast demand more accurately, helping retailers maintain optimal inventory levels. This not only reduces wastage and excess costs but also ensures that the right products are available at the right time, enhancing overall operational efficiency.

AI-powered sales and marketing strategies are also significantly contributing to the market growth. By leveraging AI and analytics, retailers can gain deeper insights into market trends, customer preferences, and sales patterns. These insights empower retailers to formulate effective marketing strategies, segment their customer base more precisely, and deliver personalized promotions that resonate with the target audience, thereby driving higher conversion rates and sales.

Retail Analytics plays a pivotal role in transforming the way retailers understand and engage with their customers. By leveraging data-driven insights, retailers can make informed decisions that enhance customer satisfaction and operational efficiency. Retail Analytics encompasses a wide range of applications, from tracking customer behavior and preferences to optimizing pricing strategies and inventory management. This technology empowers retailers to anticipate market trends, personalize marketing efforts, and ultimately drive growth in a competitive landscape. As the retail industry continues to evolve, the integration of Retail Analytics is becoming increasingly essential for businesses aiming to stay ahead of the curve and deliver exceptional value to their customers.

From a regional perspective, North America is anticipated to dominate the spending on AI and analytics in the retail market, attributed to the early adoption of advanced technologies and the strong presence of key market players. However, the Asia Pacific region is expected to witness the highest growth rate during the forecast period. The rapid digital transformation in retail sectors in countries like China and India, coupled with increasing investments in AI technologies, are major contributors to this growth. Additionally, the rising penetration of e-commerce and the growing middle-class population in these regions are driving the demand for advanced retail solutions.

Component Analysis

The AI and analytics market in retail can be segmented by components into software, hardware, and services. Software solutions are expected to hold the largest market share, driven by the increasing need for advanced analytics platforms and AI-driven applications. These software solutions enable retailers to analyze customer data, optimize supply chains, and improve decision-making processes. The integration of AI and machine learning algorithms into software platforms is further propelling their adoption.

Hardware components, although a smaller segment compared to software, play a crucial role in the implementation of AI and analytics solutions. This includes advanced sensors, IoT devices, and computing infrastructure necessary for data collection and processing. With the growing trend of smart retail environments, the demand for sophisticated hardware solutions is expected to rise. High-performance computing systems and edge devices are becoming essential for real-time data processing and analytics.

Outfit Recommendation AI App Market Outlook

According to our latest research, the global Outfit Recommendation AI App market size reached USD 1.42 billion in 2024, reflecting robust adoption across fashion, retail, and tech sectors. The market is projected to grow at a strong CAGR of 22.5% from 2025 to 2033, reaching an estimated USD 11.74 billion by 2033. This impressive growth is driven by the increasing integration of AI technologies in fashion retail, rising consumer demand for personalized shopping experiences, and the proliferation of digital wardrobes and virtual fitting rooms. As per our latest research analysis, the expanding digital ecosystem and the convergence of AI with fashion are fundamentally transforming the way consumers interact with clothing and style recommendations.

One of the primary growth factors for the Outfit Recommendation AI App market is the surging demand for hyper-personalized consumer experiences. As shoppers increasingly seek tailored recommendations that align with their unique preferences, body types, and occasions, AI-powered apps are becoming indispensable tools in the fashion industry. These platforms leverage deep learning algorithms, computer vision, and natural language processing to analyze user data, wardrobe choices, and even social media trends. This enables not only accurate outfit suggestions but also fosters higher engagement and brand loyalty. The ability of these apps to process vast datasets and provide real-time, context-aware recommendations is a significant differentiator, especially as fashion consumers become more digitally savvy and expect seamless, intuitive shopping journeys.

Another critical growth driver is the rapid digital transformation within the retail and e-commerce sectors. Fashion retailers and online platforms are leveraging Outfit Recommendation AI Apps to enhance customer journeys, reduce product returns, and increase basket sizes. By integrating AI-driven recommendation engines into their digital storefronts, retailers can offer personalized styling advice, virtual try-ons, and curated collections, all of which contribute to higher conversion rates and improved customer satisfaction. The proliferation of smartphones and high-speed internet access globally has further accelerated the adoption of these applications, making advanced styling tools accessible to millions. This widespread digital connectivity, combined with advances in AI, is reshaping the competitive landscape and compelling brands to invest in intelligent, data-driven solutions.

The growing intersection of social media and fashion is also fueling the market’s expansion. Outfit Recommendation AI Apps are increasingly being integrated with popular social platforms, allowing users to share their looks, receive real-time feedback, and even shop directly from influencer-curated outfits. This social commerce trend is particularly pronounced among Gen Z and millennials, who value peer validation and instant gratification in their fashion choices. AI-powered apps that seamlessly blend social engagement with personalized styling are capturing significant mindshare and market share. Furthermore, the rise of virtual fitting rooms and augmented reality features is enhancing the user experience, reducing friction in the online shopping process, and driving broader acceptance of AI-driven fashion technologies.

From a regional perspective, North America currently leads the global Outfit Recommendation AI App market, supported by a mature retail ecosystem, high consumer spending on fashion, and early adoption of AI technologies. Europe follows closely, with a strong emphasis on sustainable fashion and digital innovation. The Asia Pacific region is witnessing the fastest growth, propelled by the expanding middle class, rapid urbanization, and the increasing penetration of smartphones and e-commerce platforms. Latin America and the Middle East & Africa are also emerging as promising markets, driven by rising digital literacy and the growing influence of global fashion trends. Each region presents unique opportunities and challenges, but the overarching trend is a global shift toward data-driven, AI-powered fashion experiences.

Between 2020 and 2023, mobile app spending in Canada registered an increase of almost 650 million U.S. dollars. In 2023, users in Canada spent approximately 2.87 billion U.S. dollars on mobile apps. This represented an all-time highest spending compared to the previous years.

Shopping Apps Market Outlook

The global shopping apps market size is projected to reach $745 billion by 2032, up from $225 billion in 2023, growing at a Compound Annual Growth Rate (CAGR) of 14.1% during the forecast period. This substantial growth can be attributed to the increasing penetration of smartphones and internet connectivity, alongside the rising trend of digital transformation in the retail sector. Another significant factor driving market expansion is the convenience and personalized shopping experiences that these apps offer, which are increasingly being favored by consumers globally.

One of the primary growth factors for the shopping apps market is the widespread adoption of smartphones. With the number of smartphone users expected to surpass 6.8 billion by 2030, the accessibility and ease of use that shopping apps provide are becoming more integral to daily consumer behavior. Additionally, technological advancements such as improved internet connectivity through 4G and 5G networks have made it easier for consumers to shop online seamlessly. This has led to an increase in the usage frequency and user base of shopping apps, fueling market growth.

Another significant driver is the ongoing digital transformation in the retail sector. Retailers are increasingly adopting omni-channel strategies to provide a seamless shopping experience across various touchpoints, including mobile apps. This shift not only enhances customer engagement but also provides valuable data insights, helping retailers to offer customized and relevant products to their customers. Consequently, the demand for shopping apps that integrate advanced features like AI-driven recommendations, personalized notifications, and secure payment gateways is on the rise.

Furthermore, the convenience offered by shopping apps serves as a crucial growth catalyst. These apps allow users to shop from anywhere at any time, offering a wide range of products and services at their fingertips. Features such as quick delivery options, easy returns, and user-friendly interfaces significantly improve the shopping experience, encouraging more consumers to opt for mobile shopping. The COVID-19 pandemic has further accelerated this trend, as more people have turned to online shopping due to lockdowns and social distancing measures.

The emergence of Augmented Shopping Systems is revolutionizing the way consumers interact with shopping apps. By integrating augmented reality (AR) and virtual reality (VR) technologies, these systems provide immersive shopping experiences that allow users to visualize products in real-world settings before making a purchase. This technological advancement not only enhances user engagement but also reduces the likelihood of returns, as consumers can make more informed decisions. Retailers are increasingly adopting augmented shopping systems to differentiate themselves in a competitive market, offering features such as virtual try-ons for fashion items and interactive product demonstrations for electronics. As these systems become more sophisticated, they are expected to play a crucial role in shaping the future of the shopping apps market.

In terms of regional outlook, Asia Pacific is expected to dominate the shopping apps market, driven by countries like China and India where smartphone penetration and internet usage are rapidly increasing. North America and Europe are also significant markets due to high consumer spending and the presence of major market players. The Middle East & Africa and Latin America, though smaller in market share, are anticipated to exhibit robust growth owing to increasing digitalization and rising internet penetration.

Operating System Analysis

The shopping apps market can be segmented based on the operating system into iOS, Android, and Others. Android dominates this segment due to its extensive user base, particularly in emerging markets. Android's open-source nature allows for greater flexibility and customization of apps, making it a popular choice among developers and consumers alike. The availability of a wide range of Android devices at various price points also contributes to its dominance, making shopping apps accessible to a broader audience.

iOS, although commanding a smaller market share compared to Android, holds a significant position due to its loyal customer base. iOS users are generally considered to have higher purchasing power, making them a valuable target for pr

In 2023, **** was the leading market for mobile apps, with users in the country generating approximately ** billion U.S. dollars in app spending. ************* ranked second, with users spending almost ** billion U.S. dollars on apps during the last examined year. In 2023, global consumer spending on mobile apps amounted to *** billion U.S. dollars, up from *** billion U.S. dollars in 2022.

In 2023, the dating app with the highest consumer spending in India was Bumble, with over 14 million U.S. dollars. Global players including Tinder, Hinge, and Grindr made up the leading four most-spent on dating apps in the Indian market. Meanwhile, less than a million dollars were spent on the domestic matrimony services Shaadi.com and Jeevansathi.

Shopping Reward App Market Outlook

In 2023, the global shopping reward app market size was estimated at USD 5.8 billion and is projected to grow to USD 18.9 billion by 2032, reflecting a compound annual growth rate (CAGR) of 14.2%. The primary growth factors include the increasing penetration of smartphones, rising consumer inclination towards digital shopping, and the growing need for customer retention strategies among businesses.

The increasing penetration of smartphones and the internet has significantly bolstered the shopping reward app market. With more consumers opting for online shopping, the adoption of reward apps has surged as they offer incentives such as cashback, discounts, and points for purchases. This digital shift is particularly pronounced in younger demographics who are more tech-savvy and value seamless, rewarding shopping experiences. Businesses are leveraging these apps to enhance customer engagement and loyalty, thereby driving market growth.

Another crucial factor driving the shopping reward app market is the rising competition among retailers and e-commerce platforms. As the retail landscape becomes more competitive, businesses are continually seeking innovative strategies to retain customers. Shopping reward apps serve as an effective tool for customer retention, offering personalized rewards and deals that enhance the shopping experience. Retailers and service providers are investing heavily in these apps to differentiate themselves from competitors and build long-term customer relationships.

The advancement in technology and the integration of artificial intelligence (AI) and machine learning (ML) in shopping reward apps are also contributing to market growth. AI and ML enable apps to analyze user behavior and preferences, providing personalized recommendations and rewards. This level of customization not only improves user satisfaction but also increases the likelihood of repeat purchases. As technology continues to evolve, the functionality and effectiveness of shopping reward apps are expected to improve, further propelling market expansion.

From a regional perspective, North America leads the market, driven by high smartphone penetration, a well-established e-commerce sector, and a tech-savvy consumer base. However, Asia Pacific is expected to witness the highest growth rate, attributed to the rapid adoption of smartphones, expanding internet connectivity, and a burgeoning middle-class population with increasing spending power. European markets are also growing steadily, supported by mature retail sectors and high consumer awareness of digital rewards.

In addition to the advancements in shopping reward apps, the rise of Bill Splitting Apps is gaining traction among consumers, particularly in social settings such as dining out or group travel. These apps simplify the often cumbersome process of dividing expenses among friends or family, ensuring that each participant pays their fair share. By integrating with digital payment platforms, bill splitting apps provide a seamless and efficient way to manage shared expenses. This trend is particularly popular among younger demographics who value convenience and transparency in financial transactions. As more people embrace digital solutions for everyday tasks, the adoption of bill splitting apps is expected to grow, complementing the broader ecosystem of financial technology applications.

Platform Analysis

The shopping reward app market is segmented by platform into iOS, Android, and Web-based. Each platform has unique characteristics and user demographics that influence market dynamics. iOS, known for its high-security features and premium user experience, attracts a significant share of the market, particularly among affluent consumers. The popularity of iPhones and the robust ecosystem of the Apple App Store contribute to the dominance of iOS in this segment.

Android, on the other hand, captures a larger share of the global market due to its widespread availability across various price points and brands. The open-source nature of Android allows for a broader range of devices and more flexibility in app development. This has led to a higher adoption rate, especially in emerging markets where cost-effective smartphones are prevalent. The Android platform is particularly popular in regions like Asia Pacific and Latin America, where affordability plays a crucial role in consumer decisions.

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In the second quarter of 2024, total combined Apple App Store and Google Play spending amounted to an estimated 36.2 billion U.S. dollars. In the most recent examined period, global spending across the two major platforms is estimated to have experienced an increase of 12 percent compared to the 32.4 billion U.S. dollars registered in app consumer spending in the corresponding quarter in 2023.

The global outfit planner app market is experiencing robust growth, driven by the increasing popularity of fashion technology and the rising demand for personalized styling solutions. The market, estimated at $500 million in 2025, is projected to achieve a Compound Annual Growth Rate (CAGR) of 15% from 2025 to 2033, reaching a significant market size. This growth is fueled by several key factors. Firstly, the convenience and accessibility of these apps allow users to effortlessly plan outfits, reducing time and effort spent on daily wardrobe decisions. Secondly, the integration of artificial intelligence (AI) and machine learning (ML) capabilities in many applications enhances personalization, offering tailored recommendations based on individual preferences, weather conditions, and even social events. The diverse range of features, including virtual try-ons, outfit suggestions, wardrobe management tools, and styling advice, further enhances user engagement and market appeal. The market segmentation reveals significant opportunities within both the SME and large enterprise sectors, with the cloud-based segment currently holding the largest market share due to its ease of access and scalability. North America and Europe represent the dominant regions, reflecting high smartphone penetration and a strong preference for digitally-driven fashion solutions. However, growth potential exists within emerging markets in Asia-Pacific and the Middle East & Africa, as smartphone adoption and internet connectivity continue to expand. The competitive landscape is characterized by a diverse range of players, including established technology companies and emerging startups. The presence of both on-premises and cloud-based solutions allows for flexibility in meeting the varied needs of consumers and businesses. Future growth will likely be influenced by advancements in AI technology, the integration of augmented reality (AR) and virtual reality (VR) features for more immersive user experiences, and an increasing focus on sustainability and ethical fashion within the app's functionalities. Market players who effectively leverage data analytics to understand consumer preferences and tailor their offerings will be best positioned for success. The integration of e-commerce functionalities within outfit planner apps also presents a lucrative avenue for revenue generation and enhanced user engagement. Continued innovation and a focus on user experience are critical for driving sustained market growth and maintaining a competitive edge in this dynamic landscape.

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Artificial Intelligence In Marketing Size 2024-2028

The artificial intelligence in marketing size is forecast to increase by USD 41.02 billion, at a CAGR of 30.9% between 2023 and 2028.

The Artificial Intelligence (AI) market in marketing is experiencing significant growth, driven by the increasing adoption of cloud-based applications and services. This shift towards cloud solutions enables businesses to leverage AI technologies more efficiently and cost-effectively, enhancing their marketing capabilities. Furthermore, the ongoing digitalization and expanding internet penetration are fueling the demand for AI solutions in marketing, as companies seek to engage with customers more effectively in the digital space. However, the market's growth is not without challenges. The lack of skilled professionals poses a significant obstacle to wider AI adoption in marketing.
As AI applications become more complex, the need for specialized expertise in areas such as machine learning, data analytics, and programming grows. Companies must invest in upskilling their workforce or partner with external experts to overcome this challenge and fully capitalize on the opportunities presented by AI in marketing.

What will be the Size of the Artificial Intelligence In Marketing during the forecast period?

Explore in-depth regional segment analysis with market size data - historical 2018-2022 and forecasts 2024-2028 - in the full report.
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Artificial intelligence (AI) continues to reshape marketing landscapes, with dynamic market activities unfolding across various sectors. Machine learning models optimize digital marketing strategies, enabling predictive analytics for marketing ROI and customer engagement. Brands build stronger connections through AI-powered personalization and sentiment analysis. Data privacy regulations necessitate transparency and accountability, influencing marketing technology stacks and Data Security measures. A/B testing and conversion rate optimization are enhanced through AI-driven insights, while marketing automation workflows streamline customer relationship management. Marketing analytics software and dashboards provide data-driven insights, enabling marketing budget allocation and multi-channel marketing strategies. Behavioral targeting and customer journey mapping are refined through AI, enhancing marketing attribution models and email marketing automation.

Virtual assistants and chatbots facilitate seamless customer experiences, while marketing automation platforms optimize search engine optimization, pay-per-click advertising, and social media advertising. Natural language processing and AI marketing consultants aid content marketing strategies, ensuring algorithmic bias and ethical AI considerations remain at the forefront. Marketing dynamics remain in a constant state of evolution, with AI-driven innovations continuing to transform the industry. Data Governance, marketing attribution models, and programmatic advertising are among the many areas where AI is making an impact. The ongoing integration of AI into marketing technologies and strategies ensures a continuously adaptive and effective marketing landscape.

How is this Artificial Intelligence Ining Industry segmented?

The artificial intelligence ining industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2024-2028, as well as historical data from 2018-2022 for the following segments.

Deployment

  On-premises
  Cloud


Application

  Social Media Advertising
  Search Engine Marketing/ Search Advertising
  Virtual Assistant
  Content Curation
  Sales & Marketing Automation
  Analytics Platform
  Others


Technology

  Machine Learning
  Natural Language Processing
  Computer Vision
  Others


Geography

  North America

    US
    Canada


  Europe

    Germany
    UK


  APAC

    China
    Japan
    Australia
    India


  South America

    Brazil
    Argentina


  Middle East and Africa

    UAE


  Rest of World (ROW)

By Deployment Insights

The on-premises segment is estimated to witness significant growth during the forecast period.

Artificial Intelligence (AI) is revolutionizing marketing, with machine learning models at its core. Brands are building stronger connections with consumers through AI-driven personalization and predictive analytics. A/B testing and marketing analytics software enable data-driven insights, while conversion rate optimization and marketing automation workflows streamline campaigns. Data privacy regulations ensure transparency and accountability, shaping marketing strategies. Behavioral targeting and sentiment analysis provide deeper customer understanding, enhancing customer engagement. Predictive analytics and marketing ROI are key performance indicators, driving marketing budget allo

Cross-Platform and Mobile Advertising Market size was valued at USD 143.4 Billion in 2024 and is projected to reach USD 929.08 Billion by 2031, growing at a CAGR of 26.31% during the forecast period 2024-2031.

Global Cross-Platform And Mobile Advertising Market Drivers

Increasing Smartphone Penetration: Statista estimates that the worldwide smartphone user base will reach 6.92 billion by 2023. This constitutes 85.8% of the world's population, creating a large audience for mobile advertising.

Growth of Social Media Usage: According to DataReportal, the global social media user base reached 4.95 billion in January 2024, accounting for 61.4% of the global population. This extensive use opens up substantial prospects for cross-platform advertising strategies.

Rising Digital ad Spending: According to eMarketer, global digital ad spending is expected to reach USD 645.80 Billion by 2024, with mobile advertising accounting for 69.9%. This pattern implies a significant move toward mobile and cross-platform advertising methods.

Increased Time Spent on Mobile Devices: App Annie (formerly data.ai) reported that global consumers spent an average of 4.8 hours per day on mobile devices in 2021, a 30% increase from 2019. This increased interaction opens up more chances for advertising to reach their target demographic across numerous channels.

The No-code AI Platform Market size was valued at USD 4.93 billion in 2023 and is projected to reach USD 31.95 billion by 2032, exhibiting a CAGR of 30.6 % during the forecasts period. No-code AI platform market refers to tools and applications that help the users create and implement AI without coding knowledge. Such platforms demystify the creation of AI solutions and effectively exclude the need for technical expertise which in turn speeds up the project. Some of the applications include, workflow automation, chatbot construction, and the creation of a predictive analytics model. This can be done in finance for purposes of fraud detection, in the retail line for customer analysis and in healthcare for observing patient’s health. Some of the trends are the usage of complex AI technologies like NLP and ML in No-Code environments, emergence of the Low-code/No-Code Hybrid models, and the shift towards the more accessible UI and more extensive adaptation for specific company requirements. Recent developments include: In October 2023, CyborgIntell, a prominent AI solutions provider, unveiled two new offerings tailored for the BFSI sector, Feature Store and Model Risk Management (MRM). Feature Store, a zero-code AI platform, automates the creation of thousands of new features from raw data, significantly reducing the time required for data preparation for modeling by 90%. This empowers financial institutions to analyze various aspects of their transactions, including behaviors, patterns, habits, preferences, risks, and relationships , In October 2023, Akkio Inc. introduced Generative Reports, an AI tool that instantly transforms data into actionable insights. This unique tool enables small and medium businesses to connect their data, describe projects, and automatically generate real-time reports. It offers a self-service solution for optimizing marketing spend, lead scoring, revenue forecasting, and enhancing customer experiences , In May 2023, Microsoft made an undisclosed investment in Builder.ai. This strategic collaboration was aimed at integrating Builder. Ai's AI assistant, Natasha, into Microsoft Teams video and chat software, enabling customers to create business apps seamlessly within the platform. Additionally, Builder.ai planned to enhance Natasha's capabilities by incorporating Microsoft's AI algorithms to achieve a more human-like conversational experience , In March 2023, Google LLC launched Gen App Builder, a new product designed to empower programmers in developing advanced generative AI applications, without machine learning proficiency. This product launch was aimed at enabling developers to seamlessly integrate experience into applications and websites into their applications and websites. With Google LLC's no-code conversational and search capabilities, this process is expected to take only a few minutes or hours .

Beard Growth Tracker App Market Outlook

According to our latest research, the global beard growth tracker app market size reached USD 112.4 million in 2024, reflecting strong momentum driven by rising consumer interest in personal grooming and digital health monitoring. The market is projected to grow at a robust CAGR of 13.2% from 2025 to 2033, with the market size expected to reach USD 336.2 million by 2033. This growth is primarily fueled by increasing smartphone penetration, the rising popularity of men’s grooming solutions, and the integration of advanced analytics and AI-driven features in tracker apps.

The beard growth tracker app market is witnessing significant expansion due to the growing awareness among men about personal grooming and self-care. With the proliferation of social media platforms and the influence of male grooming influencers, more individuals are seeking innovative solutions to monitor and enhance their beard growth journey. These apps provide a convenient and engaging way for users to track progress, set goals, and receive personalized recommendations, which has substantially driven user adoption. Additionally, the increasing availability of high-quality camera technology in smartphones has enabled more accurate and visually appealing tracking features, further enhancing user experience and satisfaction.

Another major factor propelling the growth of the beard growth tracker app market is the integration of advanced analytics and artificial intelligence. Modern apps are leveraging AI-powered growth analytics, photo comparison tools, and personalized product recommendations to deliver a highly tailored experience. This level of customization not only improves user engagement but also fosters brand loyalty, as users are more likely to continue using apps that provide actionable insights and tangible results. Furthermore, partnerships with grooming product brands and barbershops have opened up new revenue streams, allowing app developers to monetize their platforms through targeted advertising and affiliate marketing.

The shift towards holistic health and wellness is also playing a pivotal role in market growth. As consumers become more health-conscious, there is a growing demand for apps that offer comprehensive tracking of beard health, including skin conditions, hair density, and growth patterns. This trend has prompted developers to incorporate features such as dermatological assessments and community support forums, where users can share experiences and seek expert advice. The increasing collaboration between app developers, dermatologists, and barbershops is expected to further enhance the credibility and utility of beard growth tracker apps, making them an indispensable tool for both individuals and professionals in the grooming industry.

From a regional perspective, North America continues to dominate the beard growth tracker app market, accounting for the largest share in 2024, followed by Europe and Asia Pacific. The high adoption rates in these regions can be attributed to greater smartphone penetration, a strong culture of personal grooming, and the presence of leading app developers. Meanwhile, emerging markets in Asia Pacific and Latin America are expected to witness the highest growth rates during the forecast period, driven by rising disposable incomes and increasing digital literacy. The Middle East & Africa region, while currently representing a smaller share, is also poised for steady growth as awareness of men's grooming trends spreads across urban centers.

Platform Analysis

The beard growth tracker app market is segmented by platform into iOS, Android, and web-based solutions, each catering to distinct user bases and technological preferences. The iOS segment has historically held a significant share due to the platform’s strong presence in developed markets such as North America and Europe. Users on iOS often exhibit higher spending power and a greater willingness to invest in premium app experiences, which

AI Sous Vide Cooker Controller Market Outlook

According to our latest research, the AI Sous Vide Cooker Controller market size reached USD 1.18 billion in 2024, reflecting robust growth driven by technological innovation and the rising popularity of precision cooking. The market is expanding at a steady CAGR of 13.7% and is forecasted to reach USD 3.62 billion by 2033. The primary growth factor is the increasing adoption of smart kitchen appliances, propelled by consumers’ growing demand for convenience, consistency, and enhanced culinary experiences.

One of the key growth drivers for the AI Sous Vide Cooker Controller market is the rapid advancement in artificial intelligence and Internet of Things (IoT) technologies. These innovations have enabled manufacturers to develop smart sous vide controllers that can learn user preferences, optimize cooking processes, and provide real-time feedback, thereby significantly improving cooking outcomes. The integration of AI has also made these devices more intuitive, allowing for seamless operation through voice commands, mobile applications, and remote monitoring. As consumers become more tech-savvy and seek greater control over their cooking, the demand for AI-powered sous vide controllers is set to soar, particularly among urban households and professional kitchens.

Another substantial growth factor is the rising trend of home cooking and gourmet meal preparation, especially in the wake of global events that have encouraged people to spend more time at home. With the proliferation of cooking shows, social media food influencers, and increased awareness about healthy eating, consumers are looking for ways to replicate restaurant-quality dishes in their own kitchens. AI sous vide cooker controllers offer unparalleled precision and consistency, making them an attractive choice for both novice cooks and seasoned chefs. This trend is further amplified by the growing availability of app-based recipes and cooking guides tailored to these smart devices, enhancing user engagement and satisfaction.

The commercial and hospitality sectors are also contributing significantly to the growth of the AI Sous Vide Cooker Controller market. Restaurants, hotels, and catering services are increasingly adopting these devices to streamline kitchen operations, reduce food wastage, and ensure consistent quality across large volumes of meals. The ability of AI sous vide controllers to automate temperature control and cooking times helps commercial kitchens maintain high standards of food safety and taste, while also freeing up staff for other critical tasks. As the foodservice industry continues to prioritize efficiency and innovation, the adoption of AI-driven sous vide technology is expected to become even more widespread.

Regionally, North America currently dominates the market, accounting for over 37% of the global revenue in 2024, followed by Europe and Asia Pacific. The strong presence of leading smart kitchen appliance manufacturers, high consumer purchasing power, and a tech-forward population have all contributed to North America’s leadership position. Europe is witnessing steady growth, driven by a burgeoning food culture and increasing adoption of smart home solutions, while Asia Pacific is emerging as a lucrative market due to rising disposable incomes and rapid urbanization. Latin America and the Middle East & Africa are also showing promising growth trajectories, albeit from a smaller base, as awareness and accessibility of AI sous vide controllers improve.

Product Type Analysis

The Product Type segment of the AI Sous Vide Cooker Controller market encompasses Standalone Controllers, Integrated Smart Cookers, and Retrofit Controllers. Standalone Controllers are dedicated devices designed to regulate water temperature and cooking time with high precision, making them a popular choice among both home cooks and culinary professionals. Their ease of use, portability, and compatibility with a wide range of cooking vessels have made them particularly attract

According to Cognitive Market Research, The Global Food Delivery market size is USD 156.8 billion in 2023 and will expand at a compound annual growth rate (CAGR) of 12.5% from 2023 to 2030.

The food delivery market thrives on consumers' busy lifestyles and a rising demand for convenient, diverse meal options, reflecting an increasing fusion of culinary exploration and time-saving preferences.
Restaurant Prepared Food Deliver emerges as the dominant category in the type segment.
Online payment stands out as the dominant category in the payment segment.
Asia Pacific Food Delivery will continue to lead, whereas the North American Food Delivery market will experience the most substantial growth until 2030.

Market Dynamics of Food Delivery Market

Key Drivers for Food Delivery Market

Revolutionizing Food Delivery through Advanced Mobile Apps, GPS Tracking, and AI Integration to Boost Market Growth

The constant evolution of technology acts as a potent driver for the food delivery market. Advanced mobile apps, GPS tracking, and real-time order monitoring enhance the overall user experience, fostering convenience and accessibility. The seamless integration of Artificial Intelligence (AI) and data analytics optimizes route planning and order accuracy, streamlining operations for both consumers and delivery personnel. These technological advancements not only elevate the efficiency of food delivery services but also cater to the growing demand for instant, transparent, and personalized experiences, shaping the market's trajectory towards innovation and customer-centricity.

Shifting Consumer Lifestyles to Drive the Food Delivery Market

The changing lifestyles of consumers, marked by hectic schedules and an increasing preference for convenience, emerge as a pivotal driver propelling the food delivery market. The fast-paced nature of modern life prompts individuals to seek quick, hassle-free meal solutions, turning to food delivery services for their time-saving attributes. Moreover, the evolving culinary preferences and a heightened awareness of diverse global cuisines contribute to the growing demand for a wide array of food options accessible at the fingertips. As consumers embrace the fusion of convenience and culinary exploration, the food delivery market experiences an upsurge in demand, shaping the industry's response to changing preferences.

Key Restraint for Food Delivery Market

Economic Downturn Hampers Growth of Food Delivery Market Amid Consumer Spending Constraints

The food delivery market grapples with the restraint of an economic downturn as the global financial landscape faces uncertainties. Reduced consumer spending, a direct consequence of economic challenges, hampers the growth trajectory of the market. The pandemic-induced economic downturn has compelled consumers to reassess discretionary spending, impacting their willingness to indulge in food delivery services. This restraint necessitates strategic adaptations by market players to align with changing consumer budgets and preferences, fostering resilience amidst the economic headwinds.

Key Trends for Food Delivery Market

The Emergence of Cloud Kitchens and Virtual Brands

The food delivery sector is experiencing a notable increase in cloud kitchens—kitchens dedicated solely to delivery without any dine-in options. These establishments significantly lower overhead expenses and allow brands to quickly experiment with and expand their menus in response to delivery trends. Virtual brands, which function exclusively through third-party platforms, are becoming increasingly popular, enabling traditional restaurants to broaden their offerings under new brand identities. This movement is transforming the methods of food preparation, marketing, and consumption in the digital era, rendering food delivery more flexible and lucrative.

Subscription Models and Loyalty Programs for Retaining Budget-Conscious Customers

In light of economic instability and changing consumer spending patterns, food delivery services are rolling out subscription models (such as Zomato Gold, Swiggy One, and Uber Eats Pass) along with tailored loyalty rewards. These initiatives provide advantages like complimentary deliveries, special discounts, and priority access to promotions, fostering repeat purchases while delivering enhanced value to consumers. This tr...