The global IT spending in the retail sector is experiencing robust growth, driven by the increasing adoption of digital technologies to enhance customer experience, optimize supply chains, and improve operational efficiency. The market, currently valued at approximately $150 billion (estimated based on typical market sizes for this sector), is projected to maintain a Compound Annual Growth Rate (CAGR) of 7% between 2025 and 2033, reaching an estimated $250 billion by 2033. This growth is fueled by several key trends, including the rise of e-commerce, the expanding use of omnichannel strategies, and the increasing implementation of advanced technologies such as Artificial Intelligence (AI), machine learning (ML), and big data analytics for personalized marketing and inventory management. Companies are investing heavily in cloud-based solutions and robust data security measures to support these initiatives. Despite these advancements, certain restraints exist, including concerns around data privacy, the complexities of integrating legacy systems with new technologies, and the need for skilled IT professionals to manage and maintain these increasingly sophisticated systems. Major players such as Oracle, Microsoft, SAP, and Salesforce are actively competing in this dynamic landscape, offering a diverse range of solutions tailored to the specific needs of retail businesses. The market is segmented by various factors, including software solutions (CRM, ERP, supply chain management), hardware infrastructure, and services (cloud computing, data analytics, cybersecurity). Regional variations exist, with North America and Europe currently holding the largest market shares, but significant growth potential is observed in emerging markets in Asia-Pacific and Latin America as digital adoption accelerates within these regions. The ongoing evolution of retail technology ensures that businesses that adapt and innovate will maintain a competitive advantage in the increasingly digital marketplace. Strategic partnerships and acquisitions are expected to continue shaping the competitive landscape as vendors strive to provide comprehensive, integrated solutions for their retail clients.

Discover the booming e-commerce IT spending market! This in-depth analysis reveals key trends, growth drivers, and regional insights for 2025-2033, including market size, CAGR, and leading companies like IBM, Oracle, and Amazon. Learn about the software and services segments shaping the future of online retail technology.

E Commerce It Spending Market size was valued at USD 200 Billion in 2023 and is projected to reach USD 320 Billion by 2031, growing at a CAGR of 5.3% during the forecast period 2024-2031.

Global E Commerce It Spending Market Drivers

The market drivers for the E Commerce It Spending Market can be influenced by various factors. These may include:

Growth of E-Commerce Retail: The main forces behind this trend are the increasing customer demand for online purchasing and the quick development of online retail platforms. Strong IT infrastructure is increasingly necessary for e-commerce companies as they expand in order to provide web hosting, transaction processing, and customer assistance.

Technological Developments: Cloud computing, big data analytics, machine learning, artificial intelligence (AI), and other ongoing technological developments are driving up IT expenditures. These technologies lead to more effective e-commerce solutions, optimize operations, and improve user experiences.

Global E Commerce It Spending Market Restraints

Several factors can act as restraints or challenges for the E Commerce It Spending Market. These may include:

High Production Costs: There are substantial raw material and processing costs associated with the production of ABS edge banding. Particularly in areas where consumers are sensitive to pricing, these high production costs may result in higher final product prices, which could restrict market expansion.

Environmental Concerns: Because ABS polymers come from petroleum-based resources, there are environmental questions about how sustainable and recyclable they are. Growing consumer and governmental pressure for environmentally friendly materials may limit market expansion as producers look for more sustainable substitutes.

The online retail market, currently experiencing robust growth, is projected to maintain a significant upward trajectory throughout the forecast period (2025-2033). A Compound Annual Growth Rate (CAGR) of 11.64% signifies substantial expansion, driven primarily by increasing internet penetration, particularly in developing economies, and the rising preference for convenient online shopping experiences. Consumers are increasingly embracing e-commerce platforms for their ease of access, wider product selection, and competitive pricing. The market is segmented by product type (e.g., electronics, apparel, groceries) and application (e.g., B2C, B2B), with each segment exhibiting unique growth patterns. While challenges exist, such as concerns over data security and the complexities of logistics and last-mile delivery, these are being actively addressed through technological advancements and improved supply chain management. Leading companies like Amazon, Walmart, and Apple are leveraging advanced analytics and personalized recommendations to enhance customer engagement, solidify brand loyalty, and gain a competitive edge. The competitive landscape is characterized by ongoing innovation, strategic partnerships, and aggressive marketing strategies. Regional variations in market growth are evident, with North America and Asia Pacific expected to lead the market due to strong technological infrastructure and high consumer spending power. The sustained growth in online retail is further fueled by the increasing adoption of mobile commerce, the expansion of omnichannel strategies (blending online and offline retail experiences), and the rise of social commerce. The integration of artificial intelligence (AI) and machine learning (ML) in personalized shopping experiences and improved inventory management systems is revolutionizing the sector. However, challenges remain concerning regulatory compliance, cross-border trade complexities, and the evolving needs of consumers regarding ethical and sustainable sourcing practices. Companies are strategically investing in enhancing their fulfillment capabilities, improving customer service through advanced technologies like chatbots, and focusing on building trust and transparency to maintain consumer confidence. The market's continued expansion hinges on overcoming these challenges and effectively addressing the evolving needs and expectations of the digitally savvy consumer. This includes navigating logistical hurdles and ensuring a seamless and secure online shopping experience.

Artificial Intelligence (AI) in Retail Market Outlook

According to our latest research, the global Artificial Intelligence (AI) in Retail market size reached USD 9.5 billion in 2024, with a robust CAGR of 23.1% projected from 2025 to 2033. This trajectory is expected to propel the market to a substantial USD 74.5 billion by 2033, reflecting the rapid adoption of AI-driven solutions across the retail sector. The primary growth factor fueling this expansion is the increasing demand for personalized shopping experiences, operational efficiency, and advanced data analytics within the retail ecosystem.

The growth of the AI in Retail market is being significantly driven by the evolving expectations of consumers for highly personalized and seamless shopping experiences. Retailers are leveraging AI-powered recommendation engines, chatbots, and virtual assistants to deliver tailored product suggestions, streamline customer service, and enhance engagement across both online and offline channels. The integration of AI into loyalty programs and targeted marketing campaigns is enabling retailers to derive actionable insights from vast troves of customer data, thereby boosting conversion rates and fostering brand loyalty. As digital transformation accelerates post-pandemic, retailers are increasingly investing in AI technologies to stay competitive and responsive to shifting consumer behaviors.

Another major growth driver is the operational efficiency and cost reduction enabled by AI-powered automation in retail. AI applications such as demand forecasting, automated inventory management, and intelligent supply chain solutions are minimizing stockouts, reducing excess inventory, and optimizing logistics. Machine learning algorithms are empowering retailers to predict trends, manage dynamic pricing, and streamline procurement processes. This not only enhances profitability but also supports sustainable business practices by reducing waste and improving resource utilization. Furthermore, AI-driven fraud detection and risk management systems are helping retailers safeguard against cyber threats, ensuring secure transactions and protecting consumer data.

The proliferation of omnichannel retailing and digital commerce is further catalyzing the adoption of AI in the retail sector. Retailers are harnessing AI to bridge the gap between physical and digital storefronts, offering unified customer experiences through integrated platforms. Computer vision technology is being deployed in stores for automated checkout, real-time inventory tracking, and customer behavior analysis. The rise of AI-powered virtual fitting rooms, augmented reality applications, and voice-activated shopping assistants is reshaping the in-store experience, driving foot traffic, and increasing sales conversion rates. With the expansion of e-commerce and the growing sophistication of AI tools, retailers are poised to unlock new revenue streams and gain a competitive edge in the market.

AI-Enhanced Retail Analytics is becoming a cornerstone for retailers aiming to harness the full potential of artificial intelligence in their operations. By integrating advanced analytics with AI, retailers are able to gain deeper insights into consumer behavior, optimize their inventory management, and refine their marketing strategies. This approach not only enhances decision-making but also allows for real-time adjustments to market trends and consumer demands. As retailers continue to embrace digital transformation, AI-Enhanced Retail Analytics is proving to be an invaluable tool in maintaining a competitive edge, driving customer satisfaction, and ultimately boosting profitability.

From a regional perspective, North America currently leads the AI in Retail market, accounting for the largest share in 2024, followed closely by Europe and Asia Pacific. The high adoption rate of advanced technologies, presence of major AI vendors, and strong e-commerce infrastructure contribute to North America's dominance. Meanwhile, Asia Pacific is witnessing the fastest growth, driven by rapid digitalization, rising consumer spending, and increasing investments in AI by retail giants in China, Japan, and India. Europe is also experiencing steady growth, propelled by stringent data privacy regulations and a focus on enhancing customer experience. The Middle East & Af

Retail Media Optimization AI Market Outlook

As per our latest research, the global Retail Media Optimization AI market size is valued at USD 4.15 billion in 2024, with robust expansion anticipated through the forecast period. The market is expected to achieve a CAGR of 21.8% from 2025 to 2033, reaching a projected size of USD 30.3 billion by 2033. This exceptional growth is driven by the rapid digital transformation of the retail sector, the proliferation of e-commerce platforms, and the increasing demand for data-driven marketing solutions that enhance campaign efficiency and consumer engagement.

A primary growth factor for the Retail Media Optimization AI market is the escalating adoption of artificial intelligence technologies by retailers and brands to streamline their advertising strategies. The integration of AI in retail media enables businesses to analyze vast datasets in real time, optimize ad placements, and deliver personalized content to consumers. This data-centric approach not only improves return on advertising spend but also enhances the overall shopping experience. The growing complexity of consumer journeys across multiple digital touchpoints necessitates advanced AI-powered tools that can seamlessly orchestrate campaigns, automate bidding, and dynamically adjust content based on user behavior and preferences.

Another significant driver is the increasing reliance on omnichannel retail strategies, compelling both physical and online retailers to invest in AI-powered media optimization solutions. Retailers are leveraging these technologies to bridge the gap between offline and online consumer interactions, ensuring consistent messaging and maximizing engagement across platforms. The ability of AI to unify disparate data sources and provide actionable insights is particularly valuable for campaign management, audience segmentation, and performance analytics. As a result, retailers and brands are able to make more informed decisions, allocate budgets more efficiently, and achieve superior outcomes from their media investments.

The proliferation of e-commerce platforms and the surge in digital advertising spending are further fueling the demand for Retail Media Optimization AI. With consumers increasingly shifting their shopping behaviors online, brands and agencies are seeking innovative ways to capture attention and drive conversions. AI-powered optimization tools enable precise audience targeting, real-time performance tracking, and advanced personalization, which are critical for standing out in a crowded digital marketplace. Additionally, the growing emphasis on measurable ROI and accountability in advertising is pushing retailers and marketers to adopt AI-driven solutions that provide transparency and granular analytics.

Regionally, North America leads the Retail Media Optimization AI market, accounting for the largest revenue share in 2024, followed closely by Europe and Asia Pacific. The advanced digital infrastructure, high adoption of AI technologies, and presence of major retail and technology players contribute to North America's dominance. However, Asia Pacific is projected to exhibit the fastest growth during the forecast period, supported by rapid e-commerce expansion, increasing internet penetration, and growing investments in AI-driven retail solutions. Europe also remains a significant market, driven by regulatory support for digital innovation and a mature retail ecosystem.

AI-Driven Trade Promotion Optimization is becoming a pivotal component in the retail landscape, particularly as brands seek to enhance their promotional strategies through data-driven insights. By leveraging AI, retailers can analyze historical sales data, consumer behavior, and market trends to design more effective trade promotions. This approach not only maximizes the return on promotional investments but also helps in identifying the optimal timing and channels for promotions. As the retail sector becomes increasingly competitive, AI-driven solutions offer a significant advantage by enabling more precise targeting and personalization, ultimately leading to improved customer satisfaction and loyalty.

Explore the dynamic IT Spending in Retail market, forecasting over $150 billion by 2025 with a 12% CAGR. Discover key drivers like e-commerce growth, AI integration, and cloud adoption, alongside market trends and restraints shaping the retail technology landscape.

IT Spending In Retail Market size was valued at USD 5.46 Billion in 2022 and is projected to reach USD 9.04 Billion by 2030, growing at a CAGR of 8.41% from 2023 to 2030.The IT Spending in Retail Market is experiencing robust growth, driven by several key factors. Retailers are increasingly investing in digital transformation to enhance customer experiences and streamline operations. The adoption of advanced technologies such as artificial intelligence (AI), machine learning (ML), cloud computing, and the Internet of Things (IoT) is enabling personalized marketing, efficient supply chain management, and real-time inventory tracking. Additionally, the rise of e-commerce and omnichannel retailing has necessitated the integration of IT solutions to provide seamless shopping experiences across various platforms. Cybersecurity has also become a priority, prompting increased spending to protect sensitive customer data and ensure compliance with regulations. These factors collectively contribute to the significant expansion of IT expenditures in the retail sector.

Discover the explosive growth of the e-commerce software and services market. This in-depth analysis reveals key trends, drivers, and regional insights for 2025-2033, including projections, market segmentation, and competitive analysis. Learn about the leading players and future opportunities in this dynamic sector.

Australia's online shopping landscape witnessed significant growth in the online marketplaces segment in 2024, with a notable increase of over ** percent compared to the previous year. Additionally, the books, stationery, and multimedia segment showed an increase of almost **** percent. Across all other categories, online sales increased. Maintaining momentum in Australia’s e-commerce market Since 2021, Australia’s online retail market has been gradually expanding, accelerated by restrictions to in-store shopping throughout the pandemic. Now, the industry is tasked with maintaining online spending momentum through harnessing technologies, including artificial intelligence (AI), to foster consumer engagement through marketing techniques such as social media advertising. In 2024, total online spending on goods in Australia reached almost ** billion Australian dollars. The online marketplaces category emerged as the leading segment for online spending in Australia, accounting for around ** percent of online expenditure that year. Is Australia’s online marketplace landscape becoming more competitive? From global marketplaces such as Amazon to local Australian retailers including Kmart and supermarket giants Coles and Woolworths, Australia’s online retail market offers diverse shopping options. In particular, online marketplaces have been a key contributor to the country’s e-commerce market expansion owing to their extensive product ranges, largely lower prices, and convenient shopping experiences. With a climbing number of site visits, Amazon emerged as the most popular online retailer or marketplace in Australia in 2024, followed closely by eBay, Kmart, and Woolworths. Nonetheless, new market entrant Temu, which entered the Australian market in early 2023, has been causing a stir due to its heavily discounted goods. The Chinese e-commerce platform has been attracting an average of **** million Australian shoppers per month, according to a survey conducted in June 2024.

AI in Luxury Retail Market Outlook

According to our latest research, the AI in luxury retail market size reached USD 3.8 billion globally in 2024, with a robust compound annual growth rate (CAGR) of 24.7% projected through 2033. By the end of the forecast period, the market is expected to attain a valuation of USD 32.7 billion. This remarkable expansion is driven by the increasing adoption of artificial intelligence to enhance customer experience, streamline operations, and deliver hyper-personalized luxury offerings. The integration of AI is becoming a critical competitive differentiator for luxury brands striving to meet the evolving expectations of affluent consumers in a digital-first world.

One of the primary growth drivers for the AI in luxury retail market is the shift in consumer behavior toward digital engagement and personalized experiences. High-net-worth individuals are demanding more tailored and immersive shopping journeys, both online and offline. AI-powered solutions such as chatbots, virtual stylists, and advanced recommendation engines enable luxury retailers to anticipate customer needs, provide bespoke product suggestions, and deliver white-glove service at scale. As a result, brands are investing heavily in AI technologies to foster loyalty, increase conversion rates, and differentiate their offerings in an increasingly crowded marketplace.

Another significant factor fueling the growth of the AI in luxury retail market is the need for operational efficiency and intelligent inventory management. AI-driven analytics platforms are empowering luxury brands to optimize stock levels, predict demand, and reduce overstock or stockouts, which are particularly costly in the high-value luxury segment. Furthermore, AI enables real-time monitoring of supply chains, fraud detection, and loss prevention, all of which are critical to maintaining brand reputation and profit margins. The convergence of AI with other emerging technologies, such as augmented reality (AR) and the Internet of Things (IoT), is further amplifying the impact of AI across the luxury retail value chain.

The proliferation of AI applications in luxury retail is also being propelled by advancements in visual search, virtual try-on, and immersive digital experiences. These innovations not only enhance the customer journey but also bridge the gap between physical and digital retail environments. For example, AI-powered virtual try-on solutions are transforming how customers interact with luxury fashion, jewelry, and cosmetics, enabling them to visualize products in real-time before making a purchase. This convergence of AI and experiential retail is reshaping consumer expectations and driving higher engagement and sales conversion rates in the luxury segment.

From a regional perspective, North America currently leads the AI in luxury retail market, accounting for the largest share in 2024, followed closely by Europe and Asia Pacific. The presence of leading luxury brands, advanced technology infrastructure, and high consumer spending power are key factors underpinning North America’s dominance. Meanwhile, the Asia Pacific region is emerging as the fastest-growing market, fueled by the rising affluent population, increasing digital adoption, and a burgeoning appetite for luxury goods in countries such as China, Japan, and South Korea. Europe, with its rich heritage of luxury brands, continues to invest in AI-driven innovation to maintain its competitive edge. Latin America and the Middle East & Africa are also witnessing steady growth, albeit from a smaller base, as luxury retailers expand their footprint and leverage AI to cater to new consumer segments.

Component Analysis

The component segment of the AI in luxury retail market is categorized into software, hardware, and services, each playing a pivotal role in driving technological adoption and innovation. Software solutions are the backbone of AI integration, enabling luxury retailers to deploy advanced analytics, machine learning algorithms, and customer engagement platforms. These software tools facilitate personalized recommendations, real-time inventory tracking, and seamless omnichannel experiences. As the demand for bespoke digital experiences intensifies, luxury brands are increasingly investing in proprietary AI software or partnering with technology vendors to develop tailored solutions that align with their unique brand identities and customer expectations.
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Discover the latest trends and insights into the booming global retail IT spending market. This comprehensive report analyzes market size, growth drivers, restraints, and regional performance, featuring key players like Cisco, Dell, HP, and IBM. Explore future projections and strategic opportunities in this dynamic sector.

AI in Visual Merchandising Market Outlook

According to our latest research, the global AI in Visual Merchandising market size reached USD 1.32 billion in 2024. The market is exhibiting robust expansion, propelled by the rapid adoption of artificial intelligence technologies within retail environments. The sector is expected to grow at a CAGR of 22.8% during the forecast period, with the market projected to reach USD 9.98 billion by 2033. This impressive growth trajectory is driven by the increasing need for data-driven decision-making, enhanced customer engagement, and the demand for seamless omnichannel retail experiences. As per our latest research, the integration of advanced AI tools is fundamentally transforming how retailers approach visual merchandising, optimizing layouts, and personalizing in-store experiences to drive sales and customer loyalty.

One of the primary growth factors for the AI in Visual Merchandising market is the escalating competition in the retail sector, which is compelling businesses to leverage technology to gain a competitive edge. Retailers are increasingly recognizing the value of AI-powered solutions in analyzing consumer behavior and preferences, enabling them to design more effective and attractive store layouts. Through real-time analytics and machine learning algorithms, AI can recommend optimal product placements and promotional displays, increasing conversion rates and average transaction values. This technological shift is particularly significant in an era where brick-and-mortar stores must differentiate themselves from e-commerce platforms by offering engaging and highly personalized shopping experiences.

Another significant driver fueling market growth is the proliferation of IoT devices and smart sensors within physical retail environments. These hardware advancements, when combined with AI software, provide retailers with granular insights into traffic patterns, dwell times, and customer interactions with merchandise. Such data empowers retailers to implement dynamic visual merchandising strategies that respond to real-time conditions, such as adjusting displays based on foot traffic or optimizing inventory placement to reduce stockouts and overstock situations. The synergy between AI and IoT is expected to further accelerate the adoption of intelligent merchandising solutions, especially among large retail chains and supermarkets that manage complex inventories and high customer volumes.

Furthermore, the increasing emphasis on omnichannel retailing has underscored the importance of integrating AI in visual merchandising strategies. Modern consumers expect a seamless and consistent experience across physical and digital channels, prompting retailers to employ AI-driven analytics that bridge the gap between online and offline shopping. By leveraging AI, retailers can synchronize in-store displays with digital campaigns, tailor promotions to individual preferences, and ensure that visual merchandising efforts support broader marketing objectives. This holistic approach not only enhances customer satisfaction but also enables retailers to maximize the return on investment from their merchandising initiatives, contributing to sustained market growth.

From a regional perspective, North America currently dominates the AI in Visual Merchandising market, accounting for the largest share in 2024. The region's leadership is attributed to the early adoption of advanced AI technologies, a well-established retail infrastructure, and significant investments in digital transformation initiatives. Europe follows closely, with a strong focus on enhancing customer experiences and optimizing operational efficiencies. The Asia Pacific region is emerging as a high-growth market, driven by rapid urbanization, expanding retail sectors, and increasing consumer spending. Latin America and the Middle East & Africa are also witnessing steady growth, albeit at a comparatively slower pace, as retailers in these regions gradually embrace AI-driven solutions to modernize their merchandising practices.

Component Analysis

The AI in Visual Merchandising market is segmented by component into software, hardware, and services, each playing a pivotal role in shaping the overall landscape. Software solutions constitute the backbone of AI-driven visual merchandising, encompassing advanced analytics platforms, machine learning algorithms, and computer vision tools. These software platforms ena

The global retail IT spending market is experiencing robust growth, driven by the increasing adoption of digital technologies across the retail sector. The market, estimated at $250 billion in 2025, is projected to exhibit a Compound Annual Growth Rate (CAGR) of 12% from 2025 to 2033. This significant expansion is fueled by several key factors. Firstly, the relentless push for omnichannel strategies necessitates substantial investments in IT infrastructure, including cloud solutions, point-of-sale (POS) systems, and supply chain management software. Secondly, the growing importance of data analytics and artificial intelligence (AI) in enhancing customer experience, optimizing inventory management, and personalizing marketing efforts is driving demand for sophisticated retail IT solutions. Furthermore, the expanding adoption of mobile commerce and the increasing need for cybersecurity measures contribute significantly to market growth. Hardware segments, particularly POS systems and networking equipment, are witnessing strong demand, while software and IT services, including cloud-based solutions and data analytics platforms, are experiencing even faster growth rates. The key regions driving this growth are North America and Asia Pacific, reflecting the high levels of technological adoption and the expanding e-commerce markets in these regions. While high initial investment costs and the complexity of integrating new technologies present some challenges, the long-term benefits of improved efficiency, enhanced customer engagement, and increased revenue generation are outweighing these restraints. The segmentation of the market across hardware, software, IT services, and diverse applications like food and beverages, apparel, and appliances indicates a diversified market landscape. Major players such as Cisco, Dell, HP, IBM, Amazon, and numerous specialized retail IT solution providers are actively competing to capture market share. While the North American and Asian markets currently dominate, substantial growth opportunities exist in emerging markets in regions like South America and Africa, as retailers in these areas increasingly adopt digital transformation strategies. The forecast period of 2025-2033 promises continued expansion, with the increasing sophistication of retail IT solutions and the pervasive influence of digital technologies shaping the future of the retail landscape. The market's sustained growth trajectory reflects the indispensable role of IT in ensuring competitiveness and profitability within the dynamic retail industry.

The Business-to-Consumer (B2C) e-commerce market is experiencing explosive growth, fueled by increasing internet and smartphone penetration, rising disposable incomes, and a shift in consumer preferences towards online shopping convenience. The market's Compound Annual Growth Rate (CAGR) of 31% from 2019 to 2024 indicates a significant upward trajectory, projected to continue into the forecast period (2025-2033). Key drivers include improved logistics and delivery infrastructure, the proliferation of mobile commerce (m-commerce), and the increasing adoption of advanced technologies like Artificial Intelligence (AI) for personalized shopping experiences and enhanced customer service. The market is segmented by type (e.g., online retail, digital marketplaces, social commerce) and application (e.g., fashion, electronics, groceries). Leading players like Alibaba, Amazon, and JD.com are employing aggressive competitive strategies, including investments in technology, strategic partnerships, and expansion into new markets, to maintain their market dominance. Consumer engagement is paramount, with companies focusing on personalized recommendations, seamless checkout processes, and robust customer support to enhance the overall shopping experience. While the market faces restraints like cybersecurity concerns and the digital divide, the overall outlook remains overwhelmingly positive, with substantial growth opportunities across diverse regions. The regional distribution of the B2C e-commerce market reflects varying levels of economic development and digital infrastructure. North America and Asia Pacific currently hold significant market shares, driven by strong consumer spending and technological advancements. However, other regions like Europe, the Middle East & Africa, and South America are experiencing rapid growth as internet access and e-commerce adoption increase. This expansion is further propelled by government initiatives to support digital economies and the emergence of local e-commerce platforms catering to specific regional preferences. The ongoing evolution of payment gateways and logistics networks is facilitating cross-border e-commerce, further accelerating market growth globally. Competition among established and emerging players is intensifying, leading to innovations in pricing strategies, marketing campaigns, and value-added services to attract and retain customers. The focus is shifting towards building lasting customer relationships based on trust, personalization, and a seamless online experience.

Success.ai’s Retail Data for the Retail Sector in Asia enables businesses to navigate dynamic consumer markets, evolving retail landscapes, and rapidly changing consumer behavior across the region. Leveraging over 170 million verified professional profiles and 30 million company profiles, this dataset delivers comprehensive firmographic details, verified contact information, and decision-maker insights for retailers ranging from boutique shops and e-commerce platforms to large department store chains and multinational franchises.

Whether you’re launching new products, entering emerging markets, or optimizing supply chain strategies, Success.ai’s continuously updated and AI-validated data ensures you engage the right stakeholders at the right time, all backed by our Best Price Guarantee.

Why Choose Success.ai’s Retail Data in Asia?

1. Comprehensive Company Information

   • Access verified work emails, phone numbers, and LinkedIn profiles of retail decision-makers, buyers, and merchandising managers across Asia.
   • AI-driven validation ensures 99% accuracy, enabling confident communication and minimizing wasted outreach efforts.

2. Regional Focus on Asian Markets

   • Includes profiles of small specialty retailers, large department stores, convenience chains, online marketplaces, and luxury brands spanning regions like East Asia, Southeast Asia, and South Asia.
   • Understand region-specific consumer preferences, product trends, and competitive dynamics to guide targeted campaigns and market entries.

3. Continuously Updated Datasets

   • Real-time updates reflect leadership changes, store expansions, new franchise agreements, and shifts in inventory sourcing.
   • Stay aligned with evolving market conditions, shopper behaviors, and regulatory environments impacting the Asian retail sector.

4. Ethical and Compliant

   • Adheres to GDPR, CCPA, and global privacy regulations, ensuring that your data usage remains compliant and your outreach respects personal boundaries.

Data Highlights:

• 170M+ Verified Professional Profiles: Engage with executives, buyers, store managers, and e-commerce directors shaping retail landscapes in Asia.
• 30M Company Profiles: Gain insights into brand portfolios, store counts, revenue ranges, and distribution networks.
• Firmographic & Demographic Data: Understand retail categories, merchandising strategies, supply chain partners, and consumer demographics influencing local markets.
• Verified Decision-Maker Contacts: Connect directly with key stakeholders responsible for purchasing decisions, vendor selection, category management, and brand partnerships.

Key Features of the Dataset:

1. Retail Decision-Maker Profiles
   • Identify and connect with CEOs, CFOs, category buyers, inventory planners, marketing directors, and store operations leaders.

2. Target professionals who determine product assortments, vendor negotiations, store layouts, pricing strategies, and promotional campaigns.

3. Advanced Filters for Precision Targeting

   • Filter by retail segment (fashion, electronics, groceries, cosmetics), country of operation, store format, or omnichannel strategies.
   • Tailor campaigns to align with unique cultural preferences, local consumer spending habits, and regulatory frameworks.

4. AI-Driven Enrichment

   • Profiles are enriched with actionable data, enabling personalized messaging, highlighting market-entry value propositions, and improving engagement outcomes in diverse Asian markets.

Strategic Use Cases:

1. Market Entry & Expansion

   • Identify suitable partners, franchisees, or distribution channels when entering new Asian markets.
   • Benchmark against established players, adapt offerings to local tastes, and secure placements in prime retail locations.

2. Supplier and Vendor Relations

3. Connect with procurement managers and inventory planners evaluating new suppliers or seeking innovative products.

4. Present packaging solutions, POS technology, or loyalty programs to retailers aiming to enhance the shopping experience.

5. Omnichannel and E-Commerce Growth

   • Engage e-commerce managers and digital marketing teams embracing online retail, click-and-collect services, and mobile payment integrations.
   • Align technology solutions with growing demand for contactless shopping, personalized recommendations, and seamless customer journeys.

6. Seasonal and Cultural Campaigns

   • Leverage local holidays, shopping festivals, and cultural events by reaching marketing directors and store managers who coordinate merchandise rotations, promotional deals, and experiential activations.
   • Adapt messaging to align with regional festivities and peak shopping periods.

Why Choose Success.ai?

1. Best Price Guarantee

2. Access top-quality verified data at competitive prices, ensuring strong ROI for product launches, brand expansions, and supply chain optimizations.

3. Sea...

Consumer Edge is a leader in alternative consumer data for public and private investors and corporate clients. CE Vision Europe includes consumer transaction data on 6.7M+ credit cards, debit cards, direct debit accounts, and direct transfer accounts, including 5.3M+ active monthly users. Capturing online, offline, and 3rd-party consumer spending on public and private companies, data covers 5K+ merchants, 3K+ brands mapped to 600 global parent companies (500 publicly traded), and deep geographic breakouts with demographic breakouts coming soon for UK. Brick & mortar and ecommerce direct-to-consumer sales are recorded on transaction date and purchase data is available for most companies as early as 5 days post-swipe.

Consumer Edge’s consumer transaction datasets offer insights into industries across consumer and discretionary spend such as: • Apparel, Accessories, & Footwear • Automotive • Beauty • Commercial – Hardlines • Convenience / Drug / Diet • Department Stores • Discount / Club • Education • Electronics / Software • Financial Services • Full-Service Restaurants • Grocery • Ground Transportation • Health Products & Services • Home & Garden • Insurance • Leisure & Recreation • Limited-Service Restaurants • Luxury • Miscellaneous Services • Online Retail – Broadlines • Other Specialty Retail • Pet Products & Services • Sporting Goods, Hobby, Toy & Game • Telecom & Media • Travel

Private equity and venture capital firms can leverage insights from CE’s synthetic data to assess investment opportunities, while consumer insights teams and retailers can gain visibility into transaction data’s potential for competitive analysis, shopper behavior, and market intelligence.

CE Vision Benefits • Discover new competitors • Compare sales, average ticket & transactions across competition • Evaluate demographic and geographic drivers of growth • Assess customer loyalty • Explore granularity by geos • Benchmark market share vs. competition • Analyze business performance with advanced cross-cut queries

Corporate researchers and consumer insights teams use CE Vision for:

Corporate Strategy Use Cases • Ecommerce vs. brick & mortar trends • Real estate opportunities • Economic spending shifts

Marketing & Consumer Insights • Total addressable market view • Competitive threats & opportunities • Cross-shopping trends for new partnerships • Demo and geo growth drivers • Customer loyalty & retention

Investor Relations • Shareholder perspective on brand vs. competition • Real-time market intelligence • M&A opportunities

Most popular use cases for private equity and venture capital firms include: • Deal Sourcing • Live Diligences • Portfolio Monitoring

Onsite Retail Media Platform Market Outlook

As per our latest research findings, the onsite retail media platform market size reached USD 5.8 billion globally in 2024, demonstrating strong momentum across retail and e-commerce sectors. The market is set to expand at a robust CAGR of 17.2% from 2025 to 2033, with the forecasted market size projected to reach USD 23.8 billion by 2033. This exceptional growth is primarily driven by the rapid digital transformation of retail, increased adoption of data-driven advertising solutions, and the rising demand for personalized consumer engagement across both online and offline retail environments.

One of the most significant growth factors for the onsite retail media platform market is the surge in digital advertising spend within the retail sector. As retailers and brands increasingly prioritize first-party data to deliver targeted advertisements, onsite retail media platforms have become indispensable. These platforms enable retailers to monetize their digital real estate by offering brands and agencies direct access to high-intent shoppers at the point of purchase. The ability to leverage shopper data for precise targeting and real-time campaign optimization not only boosts advertising effectiveness but also enhances the overall customer experience, thereby driving higher conversion rates and incremental revenue for retailers and advertisers alike.

Furthermore, the evolution of omnichannel retail strategies is accelerating the adoption of onsite retail media platforms. Retailers are integrating their physical and digital channels to provide seamless and cohesive shopping experiences. Onsite retail media platforms play a critical role in this transformation by enabling consistent, personalized messaging across e-commerce websites, mobile apps, and even in-store digital displays. This convergence of online and offline data empowers retailers to deliver contextually relevant advertisements, optimize campaign performance, and measure ROI with greater accuracy. As a result, both brick-and-mortar and online retailers are investing heavily in these platforms to stay competitive in an increasingly digital-first retail landscape.

Another key driver is the proliferation of advanced analytics and artificial intelligence within onsite retail media platforms. Modern platforms are equipped with sophisticated tools for audience segmentation, predictive analytics, and real-time bidding, allowing advertisers to maximize the impact of their campaigns. The integration of AI and machine learning enables continuous optimization of ad placements, creative content, and bidding strategies, resulting in higher engagement and improved return on ad spend. Additionally, the increasing availability of cloud-based solutions has lowered the barriers to entry for small and medium-sized enterprises (SMEs), democratizing access to powerful retail media capabilities and further fueling market growth.

Regionally, North America remains the dominant force in the onsite retail media platform market, accounting for the largest share of global revenue in 2024. The regionÂ’s advanced digital infrastructure, high e-commerce penetration, and early adoption of data-driven marketing solutions have established it as a hub for innovation in retail media. Europe follows closely, driven by strong regulatory frameworks and a mature retail ecosystem. Meanwhile, Asia Pacific is emerging as the fastest-growing region, propelled by rapid urbanization, expanding internet connectivity, and the rise of digital-first retail models in countries like China, Japan, and India. Latin America and the Middle East & Africa are also witnessing steady growth, supported by increasing investments in retail technology and digital transformation initiatives.

Component Analysis

The onsite retail media platform market is segmented by component into software and services, each playing a critical role in the marketÂ’s overall growth trajectory. Software constitutes th

In the third quarter of 2025, smartphones accounted for ******************** of retail site visits in the United States and generated roughly ********** of online shopping orders. Desktop computers generated just ** percent of retail website traffic but represented ** percent of all purchases in the country. Mobile commerce here to stay Since 2019, mobile commerce in the United States reached a peak in spending in the last quarter of 2022. That quarter, U.S. shoppers spent a grand total of over *** billion U.S. dollars on their mobile devices. The importance of mobile commerce has not gone unrecognized by businesses either. When asked about what digital commerce channels they were investing in, nearly ** percent of B2C (business-to-consumer) organizations in the U.S. reported investing into mobile apps in 2022. America’s favorite shopping apps With mobile shopping as commonplace, there are few things that cannot be purchased with a few taps on a smartphone. From groceries to personal care to fashion, U.S. Americans download different shopping apps every day in order to make their m-commerce purchases. With a total of over ** million downloads, the Temu app was the most downloaded in the country in 2024. The fast-fashion SHEIN app followed with roughly ** million downloads that year.