Artificial Intelligence (AI) in Retail Market By Type (Online, Offline), Technology (Computer Vision, Machine Learning, Natural Language Processing, Others) Deployment Mode (On-Premise and Cloud-based), Application and Region - Partner & Customer Ecosystem (Product Services, Proposition & Key Features) Competitive Index & Regional Footprints by MarketDigits - Forecast 2024-2032

Industry : Information Technology | Pages : 195 Pages | Upcoming : Jun 2024

         
     

Artificial Intelligence (AI) in Retail Market was valued USD 7.3 Billion in 2023 and projected to reach USD 51.5 Billion by 2030, growing at a CAGR of 32.2% during the forecast period of 2023-2030.

Major vendors in the global Artificial Intelligence (AI) in Retail Market: IBM, Microsoft, Amazon Web Services, Oracle, SAP, Intel, NVIDIA, Google, Sentient Technologies, Salesforce, ViSenze, BloomReach Inc., Nvidia Corporation, RetailNext Inc. and Others.

Market Overview

The global retail landscape is undergoing a transformative shift, with technology playing a pivotal role in shaping consumer experiences and operational efficiency. In this dynamic market, Artificial Intelligence (AI) has emerged as a game-changer for retailers seeking innovative solutions to enhance customer engagement, optimize supply chains, and streamline operations. AI applications in the retail sector encompass a diverse range of functions, including personalized marketing, demand forecasting, inventory management, and customer service automation. One of the notable trends in the AI-driven retail market is the growing adoption of machine learning algorithms to analyze vast datasets and derive actionable insights. Retailers are leveraging these insights to tailor their offerings to individual customer preferences, thereby creating a more personalized shopping experience. AI-powered recommendation engines are becoming increasingly sophisticated, enabling retailers to not only suggest products based on past purchases but also predict future needs, fostering customer loyalty and increasing sales.

The growing big data and the use of AI-enabled gadgets

The burgeoning volume of big data and the widespread adoption of AI-enabled gadgets have become pivotal drivers propelling the growth of the Artificial Intelligence (AI) in Retail Market. In an era where information is generated at an unprecedented rate, retailers are increasingly recognizing the potential of harnessing big data to gain valuable insights into consumer behavior, preferences, and market trends. The vast amounts of data generated through online transactions, social media interactions, and other digital channels serve as a goldmine for retailers seeking to understand and respond to customer needs. The integration of AI in the retail sector is significantly boosted by the ability of AI algorithms to sift through and analyze massive datasets rapidly. AI-powered analytics not only facilitates the identification of patterns and trends but also enables retailers to make data-driven decisions that enhance operational efficiency and customer satisfaction. Machine learning algorithms, a subset of AI, excel at recognizing patterns in consumer behavior, allowing retailers to tailor marketing strategies and promotions to specific demographics and individual preferences.

Market Dynamics

Drivers:

  • Rising Use of AI-powered Chatbots for Improved Customer Experience to Drive Market Growth
  • Advent of new business models
  • The growing big data and the use of AI-enabled gadgets drive market growth.

Opportunities:

  • Increasingly Empowered Consumer
  • Rising Disruptive Technologies

Rising Disruptive Technologies

The ascent of disruptive technologies presents a significant opportunity for the Artificial Intelligence (AI) in Retail Market, acting as a catalyst for growth and innovation within the industry. As emerging technologies continue to reshape the business landscape, retailers are realizing the potential of incorporating AI to stay ahead of the curve. Disruptive technologies such as the Internet of Things (IoT), augmented reality, and blockchain offer synergies with AI, creating a fertile ground for retailers to enhance customer experiences and optimize operations. The integration of IoT in the retail ecosystem opens avenues for AI applications to gather real-time data from connected devices, enabling retailers to gain deeper insights into consumer behavior and preferences. For instance, smart sensors on shelves can track inventory levels, triggering AI algorithms to optimize restocking processes and minimize stockouts. This seamless collaboration between AI and IoT enhances operational efficiency, reduces costs, and ultimately improves the overall customer shopping experience.

The market for Artificial Intelligence (AI) in Retail is dominated by North America.

North America is poised to be the predominant force in the artificial intelligence in retail market in 2023. This dominance can be attributed to several factors, including the region's substantial share fueled by increased government initiatives and investments in AI technology. Additionally, the presence of major tech players like Microsoft, Google, and Intel further contributes to North America's leadership in this market. The region benefits from significant advancements in big data & analytics, natural language processing (NLP), machine learning, and deep learning, with a high adoption rate expected to drive the growth of AI in the retail sector in the years to come. Moreover, the escalating demand from e-commerce enterprises to enhance customer shopping experiences and the widespread digitization across the retail industry are anticipated to further propel the AI in retail market in North America. These converging factors position the region as a key player in the global AI in retail landscape, with sustained growth expected as technological innovations and industry digitization continue to unfold.

The online retail Segment is Anticipated to Hold the Largest Market Share During the Forecast Period

Based on type, the artificial intelligence (AI) in retail market is segmented into online retail and offline retail. In 2023, the online retail segment is anticipated to be the dominant force in the Artificial Intelligence (AI) in Retail Market, holding the largest market share. This supremacy can be attributed to the pivotal role that AI plays in revolutionizing the online retail experience. Within the online retail sector, AI serves as a multifaceted tool, enriching customers' purchasing journeys by providing valuable insights, informing about the availability of alternative or new products, streamlining buying processes, identifying untapped markets, and automating workflows. The robust growth of this segment is propelled by AI solutions that effectively overcome geographical constraints, expand customer bases through enhanced search engine visibility, facilitate quicker product location, and empower customers to compare products seamlessly.

Global Artificial Intelligence (AI) in Retail Market Report Scope:

Report

Details

Market size value in 2023

USD 7.3 Billion

Market size value in 2030

USD 51.5 Billion by 2030

CAGR (2023-2030)

32.2%

Forecast Period

2023–2030

Historic Data

2019

Forecast Units

Value (USD Million/USD Billion)

Segments Covered

Type, Technology, Deployment Mode Application and Region

Geographies Covered

North America, Europe, Asia Pacific, and RoW

Major Segmentations Are Distributed as follows:

  • By Type :
    • Online
    • Offline
  • By Technology:
    • Computer Vision
    • Machine Learning
    • Natural Language Processing
    • Others
  • By Deployment Mode:
    • On-Premises
    • Cloud
  • By Application:
    • Predictive Merchandising
    • Programmatic Advertising
    • Market Forecasting
    • In-Store Visual Monitoring and Surveillance
    • Location-Based Marketing
    • Other
  • By Region
    • North America
      • U.S.
      • Canada
    • Latin America
      • Brazil
      • Mexico
      • Argentina
      • Colombia
      • Chile
      • Peru
      • Rest of Latin America
    • Europe
      • Germany
      • France
      • Italy
      • Spain
      • U.K.
      • BENELUX
      • CIS & Russia
      • Nordics
      • Austria
      • Poland
      • Rest of Europe
    • Asia Pacific
      • China
      • Japan
      • South Korea
      • India
      • Thailand
      • Indonesia
      • Malaysia
      • Vietnam
      • Australia & New Zealand
      • Rest of Asia Pacific
    • Middle East & Africa
      • Saudi Arabia
      • UAE
      • South Africa
      • Nigeria
      • Egypt
      • Israel
      • Turkey
      • Rest of MEA

 Recent Developments

  • In January 2023, Perfect partnered with Valmont, a luxury cosmetics brand, for its latest AI-focused beauty partnership. The collaboration brings Valmont’s background in skincare with Perfect’s artificial intelligence solution to offer consumers a detailed skin analysis.
  • In January 2023, EY, a Fintech company, launched the EY Retail Intelligence solution built on Microsoft Cloud to provide clients with a time-saving and secure shopping experience. This solution uses Microsoft Cloud for Retail and its technologies including Artificial Intelligence (AI), analytics, and image recognition to provide valuable insights.

Answers to Following Key Questions:

  • What will be the Artificial Intelligence (AI) in Retail Market’s Trends & growth rate? What analysis has been done of the prices, sales, and volume of the top producers in the Artificial Intelligence (AI) in Retail Market?
  • What are the main forces behind worldwide Artificial Intelligence (AI) in Retail Market? Which companies dominate Artificial Intelligence (AI) in Retail Market?
  • Which companies dominate Artificial Intelligence (AI) in Retail Market? Which business possibilities, dangers, and tactics did they embrace in the market?
  • What are the global Insight Engines industry's suppliers' opportunities and dangers in Artificial Intelligence (AI) in Retail Market?
  • What is the Insight Engines industry's regional sales, income, and pricing analysis? In the Artificial Intelligence (AI) in Retail Market, who are the distributors, traders, and resellers?
  • What are the main geographic areas for various trades that are anticipated to have astounding expansion over the Artificial Intelligence (AI) in Retail Market?
  • What are the main geographical areas for various industries that are anticipated to observe astounding expansion for Artificial Intelligence (AI) in Retail Market?
  • What are the dominant revenue-generating regions for Artificial Intelligence (AI) in Retail Market, as well as regional growth trends?
  • By the end of the forecast period, what will the market size and growth rate be?
  • What are the main Artificial Intelligence (AI) in Retail Market trends that are influencing the market's expansion?
  • Which key product categories dominate Artificial Intelligence (AI) in Retail Market? What is Artificial Intelligence (AI) in Retail Market’s main applications?
  • In the coming years, which Artificial Intelligence (AI) in Retail Market technology will dominate the market?

Reason to purchase this Artificial Intelligence (AI) in Retail Market Report:

  • Determine prospective investment areas based on a detailed trend analysis of the global Artificial Intelligence (AI) in Retail Market over the next years.
  • Gain an in-depth understanding of the underlying factors driving demand for different Artificial Intelligence (AI) in Retail Market segments in the top spending countries across the world and identify the opportunities each offers.
  • Strengthen your understanding of the market in terms of demand drivers, industry trends, and the latest technological developments, among others.
  • Identify the major channels that are driving the global Artificial Intelligence (AI) in Retail Market, providing a clear picture of future opportunities that can be tapped, resulting in revenue expansion.
  • Channelize resources by focusing on the ongoing programs that are being undertaken by the different countries within the global Artificial Intelligence (AI) in Retail Market.
  • Make correct business decisions based on a thorough analysis of the total competitive landscape of the sector with detailed profiles of the top Artificial Intelligence (AI) in Retail Market providers worldwide, including information about their products, alliances, recent contract wins, and financial analysis wherever available.

TOC

Table and Figures

Methodology:

At MarketDigits, we take immense pride in our 360° Research Methodology, which serves as the cornerstone of our research process. It represents a rigorous and comprehensive approach that goes beyond traditional methods to provide a holistic understanding of industry dynamics.

This methodology is built upon the integration of all seven research methodologies developed by MarketDigits, a renowned global research and consulting firm. By leveraging the collective strength of these methodologies, we are able to deliver a 360° view of the challenges, trends, and issues impacting your industry.

The first step of our 360° Research Methodology™ involves conducting extensive primary research, which involves gathering first-hand information through interviews, surveys, and interactions with industry experts, key stakeholders, and market participants. This approach enables us to gather valuable insights and perspectives directly from the source.

Secondary research is another crucial component of our methodology. It involves a deep dive into various data sources, including industry reports, market databases, scholarly articles, and regulatory documents. This helps us gather a wide range of information, validate findings, and provide a comprehensive understanding of the industry landscape.

Furthermore, our methodology incorporates technology-based research techniques, such as data mining, text analytics, and predictive modelling, to uncover hidden patterns, correlations, and trends within the data. This data-driven approach enhances the accuracy and reliability of our analysis, enabling us to make informed and actionable recommendations.

In addition, our analysts bring their industry expertise and domain knowledge to bear on the research process. Their deep understanding of market dynamics, emerging trends, and future prospects allows for insightful interpretation of the data and identification of strategic opportunities.

To ensure the highest level of quality and reliability, our research process undergoes rigorous validation and verification. This includes cross-referencing and triangulation of data from multiple sources, as well as peer reviews and expert consultations.

The result of our 360° Research Methodology is a comprehensive and robust research report that empowers you to make well-informed business decisions. It provides a panoramic view of the industry landscape, helping you navigate challenges, seize opportunities, and stay ahead of the competition.

In summary, our 360° Research Methodology is designed to provide you with a deep understanding of your industry by integrating various research techniques, industry expertise, and data-driven analysis. It ensures that every business decision you make is based on a well-triangulated and comprehensive research experience.

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