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Canada Artificial Intelligence in Retail Market By Component (Solution, Services); By Business Function (Marketing & Sales, Human Resources, Finance & Accounting, Operations, Cybersecurity); By Technology (Machine Learning, Natural Language Processing, Chatbots, Image and Video Analytics, Swarm Intelligence); By Sales Channel (Omnichannel, Brick and Mortar) – Growth, Share, Opportunities & Competitive Analysis, 2024 – 2032

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Published: | Report ID: 72371 | Report Format : PDF
REPORT ATTRIBUTE DETAILS
Historical Period 2019-2022
Base Year 2023
Forecast Period 2024-2032
Canada Artificial Intelligence in Retail Market Size 2023 USD 254.54 million
Canada Artificial Intelligence in Retail Market , CAGR 30.37%
Canada Artificial Intelligence in Retail Market Size 2032 USD 2,769.23 million

Market Overview

The artificial intelligence market in retail in Canada is projected to grow from USD 254.54 million in 2023 to USD 2,769.23 million by 2032, reflecting a robust CAGR of 30.37%.

The growth of artificial intelligence in retail in Canada is driven by increasing consumer demand for personalized shopping experiences, which AI technologies enable through data analysis and predictive algorithms. Retailers are adopting AI to enhance inventory management, optimize pricing strategies, and improve customer service through chatbots and virtual assistants. Additionally, the rise of e-commerce and the need for efficient supply chains are fueling AI adoption, as it helps in demand forecasting and automating logistics. Furthermore, advancements in machine learning and natural language processing are enhancing AI’s ability to understand and anticipate consumer behavior. The increasing focus on operational efficiency, coupled with AI’s ability to offer tailored solutions, is significantly contributing to the expansion of the market. As a result, AI is becoming integral to the digital transformation of Canada’s retail sector, supporting innovation and competitiveness in the market.

Canada’s artificial intelligence in retail market is experiencing significant growth across various regions, with key players driving innovation and adoption. Ontario and Quebec are the primary hubs for AI development and retail applications, thanks to their strong technology infrastructure and large retail sectors. In Ontario, cities like Toronto lead AI research, while Quebec’s Montreal is emerging as a key AI innovation center. Western Canada, particularly Alberta and British Columbia, is witnessing increased demand for AI solutions as retailers seek to optimize operations and enhance customer experiences. Atlantic Canada, though smaller in market size, is beginning to explore AI-driven technologies. Major companies like Daisy Intelligence, Intel Corporation, Microsoft, IBM, Google, and NVIDIA are shaping the landscape, offering advanced AI solutions ranging from machine learning and predictive analytics to customer service automation. These players are central to accelerating AI adoption and driving digital transformation in the retail sector across Canada.

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Market Insights

  • The Canada Artificial Intelligence in Retail market is expected to grow from USD 254.54 million in 2023 to USD 2,769.23 million by 2032, with a CAGR of 30.37%.
  • Increasing demand for personalized customer experiences is driving AI adoption across the retail sector.
  • Retailers are focusing on AI-powered solutions for efficient inventory management, predictive analytics, and supply chain optimization.
  • AI trends in retail include the integration of IoT and the rise of AI-driven visual recognition systems for enhanced customer engagement.
  • Key players like Daisy Intelligence, Intel, Microsoft, IBM, and Google are leading the market, offering innovative AI solutions.
  • Market restraints include high implementation costs and data privacy concerns, limiting widespread AI adoption, especially for smaller retailers.
  • Regional growth is led by Ontario and Quebec, with Western Canada and Atlantic Canada showing increasing interest in AI adoption.

Market Drivers

Enhanced Customer Support through AI-Driven Technologies

AI-driven customer service technologies, such as chatbots and virtual assistants, are revolutionizing the way retailers interact with customers. For instance, Sephora’s AI-driven tools, such as Colour IQ and Lip IQ, scan a customer’s face to offer tailored makeup recommendations. These tools provide real-time, automated assistance, answering inquiries, processing orders, and resolving issues efficiently. This improves the customer experience while reducing operational costs associated with human support. AI is also being utilized to monitor customer sentiment and feedback in real-time, allowing retailers to adjust strategies quickly. The adoption of AI-powered customer support solutions is enhancing service levels and driving growth in the retail industry.

Expansion of E-Commerce and Omnichannel Strategies

The rapid growth of e-commerce in Canada is another key driver for the adoption of AI in retail. For example, Amazon uses AI-powered search engines and personalized recommendations to enhance the online shopping experience. As more consumers turn to online shopping, retailers are using AI to enhance the online shopping experience through better product recommendations, dynamic pricing, and personalized offers. Furthermore, AI is helping retailers develop omnichannel strategies, seamlessly integrating in-store and online experiences. By analyzing customer data across multiple channels, AI enables retailers to provide consistent and personalized interactions, enhancing the overall shopping experience and supporting retail growth in the digital era.

Increasing Demand for Personalization

One of the primary drivers of the artificial intelligence market in Canada’s retail sector is the rising demand for personalized shopping experiences. Consumers increasingly expect tailored recommendations and product suggestions based on their preferences and past behavior. AI-powered algorithms use vast amounts of customer data to offer personalized content, improving customer engagement and satisfaction. Retailers are leveraging AI to deliver customized experiences across various touchpoints, such as websites, mobile apps, and in-store displays, which in turn drives customer loyalty and enhances sales.

Efficiency in Inventory and Supply Chain Management

AI is transforming inventory management and supply chain operations in Canadian retail. Retailers are adopting AI solutions to forecast demand more accurately, optimize stock levels, and reduce overstocking or stockouts. Machine learning models analyze historical data and predict future trends, helping retailers make more informed decisions. Moreover, AI enables automation in warehouses and logistics, improving speed and accuracy in product delivery. This leads to enhanced operational efficiency and reduced costs, making AI an essential tool in maintaining competitive advantage in the retail market.

Market Trends

Integration of AI with IoT in Retail Operations

A growing trend in the Canadian retail sector is the integration of Artificial Intelligence (AI) with the Internet of Things (IoT). For instance, a leading Canadian retailer partnered with o9 Solutions to enhance its demand forecasting and inventory allocation processes using AI and IoT, resulting in significant productivity gains. By connecting smart devices and sensors with AI systems, retailers can gather real-time data on inventory levels, store foot traffic, and consumer behavior. This data can be analyzed to optimize store layouts, adjust staffing levels, and ensure that products are always available when needed. The combination of AI and IoT enhances the efficiency of retail operations and provides a more seamless shopping experience, paving the way for the widespread adoption of smart retail solutions.

Adoption of AI-Powered Visual Recognition Systems

AI-powered visual recognition systems are becoming increasingly common in Canada’s retail market. For example, Syte uses AI-powered visual search technology to help retailers enhance customer engagement by allowing shoppers to search for products using images. These systems use computer vision to track products, analyze customer behavior, and improve the in-store experience. Retailers are using visual recognition technologies to enhance security, prevent theft, and offer self-checkout solutions. Moreover, visual recognition aids in personalized product recommendations by identifying customer preferences based on their in-store interactions. This trend is rapidly gaining traction, as it offers enhanced operational efficiency and better customer experiences while reducing costs associated with manual labor.

Rise of Predictive Analytics for Demand Forecasting

Predictive analytics powered by AI is becoming an essential tool for Canadian retailers looking to optimize inventory management and sales strategies. AI models analyze historical sales data and external factors like weather or consumer trends to forecast demand with high accuracy. This enables retailers to make more informed decisions regarding stock levels, pricing strategies, and promotional campaigns. By adopting predictive analytics, retailers can minimize waste, improve supply chain efficiency, and enhance overall profitability, making it a crucial trend driving the adoption of AI in the sector.

AI-Driven Personalization Beyond Online Shopping

While personalization has been a major driver of AI in online retail, the trend is expanding into physical stores across Canada. AI is helping retailers personalize in-store experiences by analyzing customer data such as purchase history, preferences, and even facial expressions. This enables them to offer tailored product recommendations, exclusive discounts, and customized marketing messages to shoppers while they are in-store. By merging online and offline personalization, retailers are providing a more integrated and engaging shopping experience, which is driving customer loyalty and shaping the future of retail in Canada.

Market Challenges Analysis

Data Privacy and Security Concerns

Another key challenge surrounding the adoption of AI in Canadian retail is the issue of data privacy and security. For example, the Retail Council of Canada emphasizes that retailers must comply with stringent data protection laws, such as the Personal Information Protection and Electronic Documents Act (PIPEDA), to protect consumer data. AI systems rely heavily on vast amounts of consumer data, including purchasing behavior, preferences, and personal information. This raises concerns about the protection of sensitive data from breaches and unauthorized access. Canadian retailers must comply with stringent data protection laws, such as the Personal Information Protection and Electronic Documents Act (PIPEDA), and ensure that their AI systems meet security standards. Failure to maintain consumer trust by safeguarding their data can lead to reputational damage and legal repercussions, making it essential for retailers to prioritize robust data privacy and security measures as part of their AI strategies.

High Implementation Costs

One of the major challenges faced by Canadian retailers in adopting artificial intelligence (AI) is the high cost of implementation. Integrating AI technologies into existing retail systems often requires significant upfront investment in both hardware and software. Additionally, retailers must allocate resources for ongoing maintenance, upgrades, and training. For small and medium-sized businesses, these costs can be a barrier to entry, limiting their ability to leverage AI solutions effectively. While AI has the potential to provide long-term cost savings and efficiencies, the initial financial outlay required for its adoption remains a significant challenge for many retailers in Canada.

Market Opportunities

Expansion of AI-Powered Customer Experiences

The growing demand for personalized and seamless shopping experiences presents a significant opportunity for AI adoption in Canada’s retail sector. Retailers can leverage AI to provide tailored product recommendations, personalized pricing, and dynamic promotions based on individual customer behavior and preferences. By using machine learning and natural language processing, AI systems can enhance customer interactions, both online and in physical stores, driving customer loyalty and engagement. This trend offers retailers an opportunity to differentiate themselves in an increasingly competitive market by offering more customized, efficient, and convenient shopping experiences, ultimately increasing sales and improving customer satisfaction.

Integration of AI in Omnichannel Strategies

Another key opportunity for AI in the Canadian retail market lies in its integration into omnichannel strategies. As retailers strive to offer seamless shopping experiences across both online and offline platforms, AI can play a crucial role in harmonizing these channels. By analyzing data from multiple touchpoints, AI enables retailers to understand consumer behavior across various platforms, allowing for consistent, personalized interactions. Additionally, AI-powered tools such as chatbots and virtual assistants can support customer engagement through real-time assistance, further improving the omnichannel experience. This integration creates a significant opportunity for retailers to enhance operational efficiency, drive more sales, and foster customer loyalty by providing an interconnected shopping journey, positioning them for long-term success in the evolving retail landscape.

Market Segmentation Analysis:

By Component:

The Canada artificial intelligence in retail market is segmented into two key components: solutions and services. AI solutions include software applications such as machine learning, natural language processing, and computer vision, which help retailers enhance customer experiences, optimize inventory management, and drive sales through predictive analytics. The services segment encompasses consulting, integration, and maintenance services that support AI implementation and ensure its smooth operation. As retailers continue to adopt AI to improve their operations, the demand for AI solutions is expected to grow significantly, with a focus on customer engagement and operational efficiency. The services segment will also see expansion, as retailers require expert guidance in deploying and optimizing AI technologies, ensuring that systems are integrated effectively with existing infrastructures. This segmentation indicates a growing reliance on AI-driven solutions to meet the evolving demands of the retail sector in Canada.

By Business Function:

Artificial intelligence in retail in Canada is increasingly being adopted across multiple business functions, each addressing specific operational needs. In marketing and sales, AI helps optimize customer targeting, enhance personalization, and improve promotional strategies through data-driven insights. In human resources, AI assists in recruitment, talent management, and employee engagement, streamlining processes and improving decision-making. For finance and accounting, AI aids in fraud detection, financial forecasting, and automation of routine tasks, reducing operational costs. In operations, AI drives supply chain optimization, inventory management, and demand forecasting, improving efficiency and reducing costs. Lastly, the cybersecurity segment leverages AI to detect and respond to potential threats in real-time, enhancing data protection and overall security. These diverse applications highlight the broad potential of AI across retail business functions, offering opportunities for enhanced performance, cost efficiency, and competitive advantage in Canada’s retail market.

Segments:

Based on Component:

  • Solution
  • Services

Based on Business Function:

  • Marketing & Sales
  • Human Resources
  • Finance & Accounting
  • Operations
  • Cybersecurity

Based on Technology:

  • Machine Learning
  • Natural Language Processing
  • Chatbots
  • Image and Video Analytics
  • Swarm Intelligence

Based on Sales Channel:

  • Omnichannel
  • Brick and Mortar

Based on the Geography:

  • Ontario
  • Quebec
  • Western Canada
  • British Columbia
  • Atlantic Canada

Regional Analysis

Ontario

Ontario holds the largest market share in Canada’s artificial intelligence in retail sector, accounting for approximately 38% of the total market. The province is home to some of the country’s largest retail companies and a thriving tech ecosystem, making it a significant hub for AI development and adoption. With its diverse economy and high concentration of large retail chains and e-commerce platforms, Ontario provides a fertile ground for AI-driven innovations aimed at enhancing customer experience, optimizing supply chains, and improving operational efficiencies. The province’s strong emphasis on technology and innovation, coupled with its access to a skilled workforce, makes it a leader in AI adoption, particularly in urban centers like Toronto, where there is substantial investment in AI research and development.

Quebec

Quebec, with a market share of around 27%, is another major region driving the growth of artificial intelligence in Canada’s retail sector. The province’s emphasis on digital transformation and AI research has led to significant advancements in retail technology. Quebec’s retail landscape is becoming increasingly digital, with retailers adopting AI solutions to streamline operations and enhance customer experiences. The province also benefits from a growing number of AI startups and a well-developed technological infrastructure, fostering an environment conducive to innovation. Cities like Montreal are emerging as major AI hubs, attracting investment and talent, which further accelerates the adoption of AI in retail, positioning Quebec as a key player in the national market.

Western Canada

Western Canada, encompassing provinces like Alberta, Saskatchewan, and Manitoba, holds a market share of approximately 18% in the AI-driven retail sector. While the region is not as advanced in AI adoption as Ontario or Quebec, the demand for AI solutions is growing rapidly. Retailers in Western Canada are increasingly turning to AI to enhance supply chain management, improve customer service, and optimize product offerings. The region’s emphasis on resource industries and growing urban centers like Calgary and Edmonton offers significant potential for AI applications in retail. As businesses in Western Canada continue to embrace digital transformation, the adoption of AI in retail is expected to increase, with more companies investing in AI-driven technologies to stay competitive in a rapidly evolving market.

Atlantic Canada

Atlantic Canada, which includes the provinces of Newfoundland and Labrador, Nova Scotia, New Brunswick, and Prince Edward Island, accounts for around 7% of the AI in retail market share. While this region is relatively smaller in terms of market size, it presents emerging opportunities for AI adoption. The retail sector in Atlantic Canada is slowly embracing AI technologies, particularly for customer service enhancements and inventory management. With growing interest in digital solutions, local retailers are beginning to explore AI-driven technologies to streamline operations and improve the customer experience. As the region continues to focus on economic diversification and digital transformation, the AI retail market in Atlantic Canada is expected to grow, driven by both local and national initiatives aimed at fostering innovation and technological adoption.

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Key Player Analysis

  • Daisy Intelligence
  • Intel Corporation
  • Microsoft Corporation
  • IBM Corporation
  • Google LLC
  • Fujitsu
  • Capgemini
  • ServiceNow
  • NVIDIA Corporation
  • Sentient Technologies
  • SAP SE
  • Accenture
  • TCS
  • AMD
  • Talkdesk
  • Others

Competitive Analysis

The competitive landscape of Canada’s Artificial Intelligence in Retail market is shaped by several prominent players, including Daisy Intelligence, Intel Corporation, Microsoft Corporation, IBM Corporation, Google LLC, Fujitsu, Capgemini, ServiceNow, NVIDIA Corporation, Sentient Technologies, SAP SE, Accenture, TCS, AMD, and Talkdesk. For instance, Daisy Intelligence uses AI to help retailers optimize pricing and promotions, resulting in increased sales and profitability For instance, Daisy Intelligence uses AI to help retailers optimize pricing and promotions, resulting in increased sales and profitability. These companies dominate the market by offering cutting-edge AI solutions tailored to various aspects of retail, such as predictive analytics, machine learning, customer service automation, and supply chain optimization. Key players in the market differentiate themselves through their expertise in AI-powered solutions, offering a blend of software, hardware, and consulting services designed to enhance operational efficiency. With the increasing adoption of AI in the retail sector, companies must continuously innovate and refine their offerings to maintain a competitive edge. Retailers are looking for scalable and flexible AI solutions that can integrate seamlessly with existing systems, driving the demand for AI-powered platforms that provide real-time insights and personalized customer experiences. The focus is also on providing cost-effective solutions that cater to both large retailers and small businesses, ensuring a wide range of players can participate in the AI-driven transformation of Canada’s retail market. The competition is expected to intensify as AI technologies continue to evolve and new entrants emerge with unique solutions.

Recent Developments

  • In January 2025, NVIDIA announced the NVIDIA AI Blueprint for retail shopping assistants, designed to transform shopping experiences both online and in stores. This blueprint helps developers create AI-powered digital assistants that can deliver personalized shopping experiences, drive higher conversion rates, and lower product return rates.
  • In April 2024, Oracle introduced new AI capabilities within Oracle Fusion Cloud Customer Experience (CX) to help marketers, sellers, and service agents accelerate deal cycles. These capabilities automate time-consuming tasks and enable more precise targeting, engagement, and service of buyers.
  • In January 2024, Microsoft unveiled new generative AI and data solutions at NRF 2024 to transform shopping experiences. These solutions span the retail shopper journey, from personalized shopping experiences to empowering store associates and unifying retail data.
  • In January 2024, Salesforce announced new data and AI-powered tools at NRF 2024 to transform shopping experiences. These tools, powered by the Einstein 1 Platform, include AI content creation, digital storefronts, and shopper insights to enhance customer interactions, increase loyalty, and drive revenue.
  • In January 2024, IBM reported at NRF 2024 that generative AI can bridge the consumer expectation gap by creating unified, integrated shopping experiences. The study showed dissatisfaction with current retail experiences and emphasized the role of AI in meeting consumer demands.

Market Concentration & Characteristics

The market concentration of Canada’s Artificial Intelligence in Retail sector is moderately fragmented, with a mix of established global tech giants and specialized AI solution providers. The market is characterized by the presence of both large-scale players offering comprehensive AI platforms and smaller, niche companies focusing on specific AI-driven retail solutions, such as customer service automation, inventory optimization, and predictive analytics. While global tech companies lead the market in terms of innovation, market share, and investment, smaller firms provide specialized expertise and agility in catering to the unique needs of retail businesses, especially those focusing on personalized customer experiences. The competitive environment is defined by rapid innovation, with companies constantly refining their AI offerings to meet the evolving demands of the retail sector. Retailers are seeking AI solutions that are scalable, cost-effective, and capable of integrating seamlessly into their existing infrastructure. Additionally, companies are focusing on offering end-to-end solutions, combining AI software, hardware, and consulting services to provide comprehensive support. As AI technology continues to mature, the market is likely to see further consolidation, with larger players acquiring smaller firms to expand their service offerings and enhance their market position. The sector’s characteristics also include a high emphasis on data privacy, real-time processing, and customer-centric applications, which are critical in driving AI adoption in the retail industry.

Report Coverage

The research report offers an in-depth analysis based on Component, Business Function, Technology, Sales Channel and Geography. It details leading market players, providing an overview of their business, product offerings, investments, revenue streams, and key applications. Additionally, the report includes insights into the competitive environment, SWOT analysis, current market trends, as well as the primary drivers and constraints. Furthermore, it discusses various factors that have driven market expansion in recent years. The report also explores market dynamics, regulatory scenarios, and technological advancements that are shaping the industry. It assesses the impact of external factors and global economic changes on market growth. Lastly, it provides strategic recommendations for new entrants and established companies to navigate the complexities of the market.

Future Outlook

  1. The Canada Artificial Intelligence in Retail market is expected to continue its rapid growth, driven by increasing demand for personalized customer experiences.
  2. AI technologies like machine learning and natural language processing will become more integrated into retail operations for real-time decision-making.
  3. Retailers will invest more in AI-driven solutions for supply chain optimization, inventory management, and demand forecasting.
  4. The adoption of AI-powered chatbots and virtual assistants will rise, enhancing customer service and engagement.
  5. AI will play a key role in improving retail analytics, offering insights into consumer behavior and helping retailers refine their marketing strategies.
  6. The market will see a shift toward greater AI adoption by smaller retailers, as solutions become more affordable and accessible.
  7. As AI capabilities evolve, companies will increasingly focus on AI systems that integrate with IoT devices for smarter retail operations.
  8. AI will drive innovation in brick-and-mortar stores, with more retailers using AI for in-store personalized experiences and automated checkout systems.
  9. Data privacy and cybersecurity concerns will remain critical, driving demand for secure AI solutions.
  10. Collaboration between AI solution providers and retailers will intensify, with joint efforts aimed at developing next-generation AI applications for the retail industry.

CHAPTER NO. 1 : INTRODUCTION 18

1.1.1. Report Description 18

Purpose of the Report 18

USP & Key Offerings 18

1.1.2. Key Benefits for Stakeholders 19

1.1.3. Target Audience 19

1.1.4. Report Scope 19

CHAPTER NO. 2 : EXECUTIVE SUMMARY 21

2.1. Canada Artificial Intelligence in Retail Market Snapshot 21

2.1.1. Canada Artificial Intelligence in Retail Market, 2018 – 2032 (USD Million) 22

CHAPTER NO. 3 : GEOPOLITICAL CRISIS IMPACT ANALYSIS 23

3.1. Russia-Ukraine and Israel-Palestine War Impacts 23

CHAPTER NO. 4 : CANADA ARTIFICIAL INTELLIGENCE IN RETAIL MARKET – INDUSTRY ANALYSIS 24

4.1. Introduction 24

4.2. Market Drivers 25

4.2.1. Driving Factor 1 Analysis 25

4.2.2. Driving Factor 2 Analysis 26

4.3. Market Restraints 27

4.3.1. Restraining Factor Analysis 27

4.4. Market Opportunities 28

4.4.1. Market Opportunity Analysis 28

4.5. Porter’s Five Forces Analysis 29

4.6. Value Chain Analysis 30

4.7. Buying Criteria 31

CHAPTER NO. 5 : ANALYSIS COMPETITIVE LANDSCAPE 32

5.1. Company Market Share Analysis – 2023 32

5.1.1. Canada Artificial Intelligence in Retail Market: Company Market Share, by Revenue, 2023 32

5.1.2. Canada Artificial Intelligence in Retail Market: Top 6 Company Market Share, by Revenue, 2023 32

5.1.3. Canada Artificial Intelligence in Retail Market: Top 3 Company Market Share, by Revenue, 2023 33

5.2. Canada Artificial Intelligence in Retail Market Company Revenue Market Share, 2023 34

5.3. Company Assessment Metrics, 2023 35

5.3.1. Stars 35

5.3.2. Emerging Leaders 35

5.3.3. Pervasive Players 35

5.3.4. Participants 35

5.4. Start-ups /SMEs Assessment Metrics, 2023 35

5.4.1. Progressive Companies 35

5.4.2. Responsive Companies 35

5.4.3. Dynamic Companies 35

5.4.4. Starting Blocks 35

5.5. Strategic Developments 36

5.5.1. Acquisitions & Mergers 36

New Product Launch 36

Canada Expansion 36

5.6. Key Players Product Matrix 37

CHAPTER NO. 6 : PESTEL & ADJACENT MARKET ANALYSIS 38

6.1. PESTEL 38

6.1.1. Political Factors 38

6.1.2. Economic Factors 38

6.1.3. Social Factors 38

6.1.4. Technological Factors 38

6.1.5. Environmental Factors 38

6.1.6. Legal Factors 38

6.2. Adjacent Market Analysis 38

CHAPTER NO. 7 : CANADA ARTIFICIAL INTELLIGENCE IN RETAIL MARKET – BY COMPONENT SEGMENT ANALYSIS 39

7.1. Canada Artificial Intelligence in Retail Market Overview, by Component Segment 39

7.1.1. Canada Artificial Intelligence in Retail Market Revenue Share, By Component, 2023 & 2032 40

7.1.2. Canada Artificial Intelligence in Retail Market Attractiveness Analysis, By Component 41

7.1.3. Incremental Revenue Growth Opportunity, by Component, 2024 – 2032 41

7.1.4. Canada Artificial Intelligence in Retail Market Revenue, By Component, 2018, 2023, 2027 & 2032 42

7.2. Solution 43

7.3. Services 44

CHAPTER NO. 8 : CANADA ARTIFICIAL INTELLIGENCE IN RETAIL MARKET – BY BUSINESS FUNCTION SEGMENT ANALYSIS 45

8.1. Canada Artificial Intelligence in Retail Market Overview, by Business Function Segment 45

8.1.1. Canada Artificial Intelligence in Retail Market Revenue Share, By Business Function, 2023 & 2032 46

8.1.2. Canada Artificial Intelligence in Retail Market Attractiveness Analysis, By Business Function 47

8.1.3. Incremental Revenue Growth Opportunity, by Business Function, 2024 – 2032 47

8.1.4. Canada Artificial Intelligence in Retail Market Revenue, By Business Function, 2018, 2023, 2027 & 2032 48

8.2. Marketing & Sales 49

8.3. Human Resources 50

8.5. Finance & Accounting 51

8.6. Operations 52

8.8. Cybersecurity 53

CHAPTER NO. 9 : CANADA ARTIFICIAL INTELLIGENCE IN RETAIL MARKET – BY TECHNOLOGY SEGMENT ANALYSIS 54

9.1. Canada Artificial Intelligence in Retail Market Overview, by Technology Segment 54

9.1.1. Canada Artificial Intelligence in Retail Market Revenue Share, By Technology, 2023 & 2032 55

9.1.2. Canada Artificial Intelligence in Retail Market Attractiveness Analysis, By Technology 56

9.1.3. Incremental Revenue Growth Opportunity, by Technology, 2024 – 2032 56

9.1.4. Canada Artificial Intelligence in Retail Market Revenue, By Technology, 2018, 2023, 2027 & 2032 57

9.2. Machine Learning Machine Learning 58

9.3. Natural Language Processing 59

9.4. Chatbots 60

9.5. Image and Video Analytics 61

9.6. Swarm Intelligence 62

CHAPTER NO. 10 : CANADA ARTIFICIAL INTELLIGENCE IN RETAIL MARKET – BY SALES CHANNEL SEGMENT ANALYSIS 63

10.1. Canada Artificial Intelligence in Retail Market Overview, by Sales Channel Segment 63

10.1.1. Canada Artificial Intelligence in Retail Market Revenue Share, By Sales Channel, 2023 & 2032 64

10.1.2. Canada Artificial Intelligence in Retail Market Attractiveness Analysis, By Sales Channel 65

10.1.3. Incremental Revenue Growth Opportunity, by Sales Channel, 2024 – 2032 65

10.1.4. Canada Artificial Intelligence in Retail Market Revenue, By Sales Channel, 2018, 2023, 2027 & 2032 66

10.2. Omnichannel 67

10.3. Brick and Mortar 68

10.4. Pure-play Online Retailers 69

CHAPTER NO. 13 : COMPANY PROFILES 74

13.1. Daisy Intelligence 74

13.1.1. Company Overview 74

13.1.2. Product Portfolio 74

13.1.3. Swot Analysis 74

13.1.4. Business Strategy 75

13.1.5. Financial Overview 75

13.2. Intel Corporation 76

13.3. Microsoft Corporation 76

13.4. IBM Corporation 76

13.5. Google LLC 76

13.6. Fujitsu 76

13.7. Capgemini 76

13.8. ServiceNow 76

13.9. NVIDIA Corporation 76

13.10. Sentient technologies 76

13.11. SAP SE 76

13.12. Accenture 76

13.13. TCS 76

13.14. AMD 76

13.15. Talkdesk 76

13.16. Others 76

 

List of Figures

FIG NO. 1. Canada Artificial Intelligence in Retail Market Revenue, 2018 – 2032 (USD Million) 22

FIG NO. 2. Porter’s Five Forces Analysis for Canada ARTIFICIAL INTELLIGENCE IN RETAIL Market 29

FIG NO. 3. Value Chain Analysis for Canada Artificial Intelligence in Retail Market 30

FIG NO. 4. Company Share Analysis, 2023 32

FIG NO. 5. Company Share Analysis, 2023 32

FIG NO. 6. Company Share Analysis, 2023 33

FIG NO. 7. Artificial Intelligence in Retail Market – Company Revenue Market Share, 2023 34

FIG NO. 8. Canada Artificial Intelligence in Retail Market Revenue Share, By Component, 2023 & 2032 40

FIG NO. 9. Market Attractiveness Analysis, By Component 41

FIG NO. 10. Incremental Revenue Growth Opportunity by Component, 2024 – 2032 41

FIG NO. 11. Canada Artificial Intelligence in Retail Market Revenue, By Component, 2018, 2023, 2027 & 2032 42

FIG NO. 12. Canada Artificial Intelligence in Retail Market for Solution, Revenue (USD Million) 2018 – 2032 43

FIG NO. 13. Canada Artificial Intelligence in Retail Market for Services, Revenue (USD Million) 2018 – 2032 44

FIG NO. 14. Canada Artificial Intelligence in Retail Market Revenue Share, By Business Function, 2023 & 2032 46

FIG NO. 15. Market Attractiveness Analysis, By Business Function 47

FIG NO. 16. Incremental Revenue Growth Opportunity by Business Function, 2024 – 2032 47

FIG NO. 17. Canada Artificial Intelligence in Retail Market Revenue, By Business Function, 2018, 2023, 2027 & 2032 48

FIG NO. 18. Canada Artificial Intelligence in Retail Market for Marketing & Sales, Revenue (USD Million) 2018 – 2032 49

FIG NO. 19. Canada Artificial Intelligence in Retail Market for Human Resources, Revenue (USD Million) 2018 – 2032 50

FIG NO. 20. Canada Artificial Intelligence in Retail Market for Finance & Accounting, Revenue (USD Million) 2018 – 2032 51

FIG NO. 21. Canada Artificial Intelligence in Retail Market for Operations, Revenue (USD Million) 2018 – 2032 52

FIG NO. 22. Canada Artificial Intelligence in Retail Market for Cybersecurity, Revenue (USD Million) 2018 – 2032 53

FIG NO. 23. Canada Artificial Intelligence in Retail Market Revenue Share, By Technology, 2023 & 2032 55

FIG NO. 24. Market Attractiveness Analysis, By Technology 56

FIG NO. 25. Incremental Revenue Growth Opportunity by Technology, 2024 – 2032 56

FIG NO. 26. Canada Artificial Intelligence in Retail Market Revenue, By Technology, 2018, 2023, 2027 & 2032 57

FIG NO. 27. Canada Artificial Intelligence in Retail Market for Machine Learning, Revenue (USD Million) 2018 – 2032 58

FIG NO. 28. Canada Artificial Intelligence in Retail Market for Natural Language Processing, Revenue (USD Million) 2018 – 2032 59

FIG NO. 29. Canada Artificial Intelligence in Retail Market for Chatbots, Revenue (USD Million) 2018 – 2032 60

FIG NO. 30. Canada Artificial Intelligence in Retail Market for Image and Video Analytics, Revenue (USD Million) 2018 – 2032 61

FIG NO. 31. Canada Artificial Intelligence in Retail Market for Swarm Intelligence, Revenue (USD Million) 2018 – 2032 62

FIG NO. 32. Canada Artificial Intelligence in Retail Market Revenue Share, By Sales Channel, 2023 & 2032 64

FIG NO. 33. Market Attractiveness Analysis, By Sales Channel 65

FIG NO. 34. Incremental Revenue Growth Opportunity by Sales Channel, 2024 – 2032 65

FIG NO. 35. Canada Artificial Intelligence in Retail Market Revenue, By Sales Channel, 2018, 2023, 2027 & 2032 66

FIG NO. 36. Canada Artificial Intelligence in Retail Market for Omnichannel, Revenue (USD Million) 2018 – 2032 67

FIG NO. 37. Canada Artificial Intelligence in Retail Market for Brick and Mortar, Revenue (USD Million) 2018 – 2032 68

FIG NO. 38. Canada Artificial Intelligence in Retail Market for Pure-play Online Retailers, Revenue (USD Million) 2018 – 2032 69

 

Frequently Asked Questions

What is the current size of the Canada Artificial Intelligence in Retail market?

The Canada Artificial Intelligence in Retail market is projected to grow from USD 254.54 million in 2023 to USD 2,769.23 million by 2032, reflecting a robust CAGR of 30.37% during the forecast period.

What factors are driving the growth of the Canada Artificial Intelligence in Retail market?

Key growth drivers include increasing consumer demand for personalized shopping experiences, advancements in AI technologies like machine learning and natural language processing, and the expansion of e-commerce. Retailers are adopting AI for predictive analytics, inventory management, and customer service, enhancing operational efficiency and customer satisfaction.

What are the key segments within the Canada Artificial Intelligence in Retail market?

The market is segmented by components (solutions and services), business functions (marketing & sales, operations, human resources, finance & accounting, and cybersecurity), technologies (machine learning, natural language processing, chatbots, image and video analytics, and swarm intelligence), and sales channels (omnichannel and brick-and-mortar). Regional segmentation includes Ontario, Quebec, Western Canada, British Columbia, and Atlantic Canada.

Who are the major players in the Canada Artificial Intelligence in Retail market?

Key players include Daisy Intelligence, Intel Corporation, Microsoft Corporation, IBM Corporation, Google LLC, NVIDIA Corporation, SAP SE, Capgemini, Accenture, ServiceNow, and others. These companies are driving innovation by offering advanced AI solutions for predictive analytics, customer service automation, and supply chain optimization.

Canada Data Center Maintenance and Support Services Market

Published:
Report ID: 75529

Canada Processed Beef Product Market

Published:
Report ID: 75170

Canada High-End Beef Market

Published:
Report ID: 74872

Canada AC-DC Power Supply in Data Center Market

Published:
Report ID: 74821

Canada Large Language Model Powered Tools Market

Published:
Report ID: 74801

Canada Data Center Filters Market

Published:
Report ID: 74730

Canada Interior Design Market

Published:
Report ID: 73839

Canada Data Center Uninterruptable Power Supply (UPS) Market

Published:
Report ID: 72940

Canada Data Center Processor Market

Published:
Report ID: 72904

UAE Artificial Intelligence in Finance Market

Published:
Report ID: 75676

Italy Data Center Filters Market

Published:
Report ID: 75640

India Data Center Renovation Market

Published:
Report ID: 75638

Mexico Data Center Filters Market

Published:
Report ID: 75639

Converged Infrastructure Management Market

Published:
Report ID: 75622

Latin America Police Modernization Market

Published:
Report ID: 75602

Computer Vision in Healthcare Market

Published:
Report ID: 75581

Component Content Management Systems Market

Published:
Report ID: 75567

Combined Heat and Power (CHP) Systems Market

Published:
Report ID: 75538

China Data Center Physical Security Market

Published:
Report ID: 75532

France Enterprise Monitoring Market

Published:
Report ID: 75493

Vietnam Police Modernization Market

Published:
Report ID: 75498

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