The retail automation market is anticipated to increase from US$ 18,845.3 million in 2023 to US$ 47,706.8 million by 2033. According to FMI, the market is expected to expand at a CAGR of 9.7% over the course of the projected period.
The use of automation has increased due to the widespread use of autonomous mobile robotics (AMR) and autonomous guided vehicles (AGV) in the retail sector, which is anticipated to fuel the demand for retail automation during the projected period.
One of the key factors fueling the growth of the market is the increase in business operational changes brought on by the pandemic-induced work-from-home trend. Additionally, the industry is positively impacted by the integration of cognitive technology and changes to business processes across companies.
The retail sector has been pushed to significantly automate its operational activities in order to boost consumer engagement in shopping for or purchasing goods. Automation also changes retail business models and gives market participants access to a wider range of value chain opportunities in the retail automation industry.
| Attributes | Details |
|---|---|
| Retail Automation Market CAGR (2023 to 2033) | 9.7% |
| Retail Automation Market Size (2023) | US$ 18,845.3 million |
| Retail Automation Market Size (2033) | US$ 18,845.3 million |
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The lack of effective management in the retail industry significantly impacts the retail automation sector. It hampers departmental integration, leading to difficulties in managing procedures and aligning them with company goals.
Retailers face various obstacles, including improper storage design, a suboptimal product mix, inefficient warehouse space usage, evolving consumer needs, and a lack of control over channel partners.
Meeting demanding standards in e-commerce and retail logistics becomes challenging without proper management. Businesses with excellent logistics and strong management are expected to outshine competitors and dominate the market in the long run.
| Factor | Details |
|---|---|
| Cloud-based POS | Retailers typically utilize POS systems to conduct sales transactions. The bulk of businesses wants instant access to their sales data from any location, at any time, and on any device, which is why the retail automation industry is seeing an increase in the adoption of cloud-based POS systems. It simplifies the task for retailers and is anticipated to alter the future of the retail POS business. According to Forbes, the bulk of new stores choose cloud-based POS over traditional POS, and a sizable portion of established retailers are considering the transition. By 2021, a significant increase in cloud-based POS deployment is predicted for the market. The retail automation sector is anticipated to increase significantly throughout the forecast period. |
| AI Technology | The demand for retail automation is being further influenced by the increase in machine learning capabilities being incorporated into retail automation. RPA uses artificial intelligence (AI) to provide better business insights and data integrity. Additionally, the market benefits from rising urbanization, a shift in lifestyle, an increase in expenditures, and higher consumer spending. |
| Industry 4.0 | The emergence of Industry 4.0 offers lucrative chances to market participants in retail automation. The market also grows as demand for robotic process automation increases in the logistics sector. |
Principal Consultant
During the period of 2018 to 2022, the global retail automation market witnessed significant growth. Increasing adoption of automation technologies in the retail sector, driven by the need for operational efficiency and enhanced customer experience, contributed to this growth. The market value in 2018 was estimated to be around US$ 12.3 billion and reached US$ 16.22 billion by 2022.
Looking ahead, the forecast outlook for the period of 2023 to 2033 suggests continued growth and expansion in the global retail automation sector. Factors such as the rising demand for contactless and self-service technologies, advancements in artificial intelligence and robotics, and the increasing focus on omnichannel retailing are expected to drive market growth.
The market is projected to witness a CAGR of around 9.6% during the forecast period, reaching a value of US$ 44.46 billion by 2033. Retailers are expected to invest in automation solutions to streamline operations, reduce costs, and provide seamless customer experiences across various touch points.
Overall, the global retail automation sector has shown significant growth in recent years, and the forecast indicates continued expansion fueled by technological advancements and changing consumer preferences. Retailers are embracing automation to meet the demands of a rapidly evolving retail landscape and drive competitive advantage.
Hardware components have witnessed high demand in the retail automation sector, accounting for a significant market share of 44.2% in 2020. Within the hardware category, the point-of-sale (POS) systems have been dominant and are expected to continue their dominance in the projected period.
The demand for retail automation hardware is driven by several factors. Research and Development investments in advanced POS systems, such as those offering contactless payment options and RFID transponders, contribute to the growth.
Biometric-based POS systems provide personalized payment options, enhancing the overall customer experience. These technological advancements and customization capabilities are expected to fuel the growth of the hardware segment in the retail automation business.
Among various deployment options, the cloud segment is projected to witness the leading CAGR of 13.3% during the forecast period. This is attributed to the increasing demand for remote management capabilities, which is a key driver in the retail automation industry.
By automating retail outlets and leveraging cloud-based solutions, operators reduce maintenance costs associated with routine inspections. Real-time notifications sent and received through the cloud, enabling prompt response to issues.
Connected machines communicate with each other, facilitating automatic inventory replenishment when supplies run low. Additionally, cloud-based solutions enable dynamic route optimization and other logistical efficiencies, enhancing overall operational performance.
The adoption of cloud-based solutions in retail automation offers scalability, flexibility, and real-time data accessibility, which are critical in today's fast-paced retail environment. As a result, the cloud segment is expected to play a significant role in shaping the future of the market.
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Through 2033, the market is anticipated to expand at a CAGR of over 9.9% in North America. The increased adoption of automation technology by key companies like Walmart and Amazon is anticipated to fuel the retail automation industry in the United States.
The United States is seen as a successful market for retail automation systems, which has led to a number of manufacturers moving there in an effort to attract a sizable customer base and thus obtain economies of scale.
From the loading dock to the checkout line, emerging technologies are offering a variety of ways to improve operational efficiency. Additionally, mobile checkout equipment has made it feasible to sell goods everywhere, including kiosks, pop-up shops, events, and other public spaces. As a result, the retail sector in India is about to change as new automation technologies are used.
The retail automation market in the United Kingdom is experiencing steady growth, driven by evolving consumer expectations, a focus on operational efficiency, the rise of e-commerce, and the adoption of contactless solutions.
Retailers in the United Kingdom are leveraging automation technologies to enhance efficiency, improve customer experiences, and stay competitive. With the emphasis on convenience and personalization of shopping experiences, technologies such as self-checkout systems and automated inventory management are being adopted.
The COVID-19 pandemic has further accelerated the adoption of contactless solutions. Overall, the United Kingdom retail automation business is poised for expansion as retailers embrace automation to meet evolving consumer demands and enhance operational effectiveness.
The demand for effective warehouse and inventory management systems has increased as a result of the expansion of multiple products. To address the lack of workers and rising demand, key firms in the e-commerce industry like Amazon and Walmart have started using robots. Startups still have a chance to enter the industry and make a contribution to it.
Companies that operate in the market use a variety of expansion tactics to establish themselves in attractive areas. These tactics include working with important actors, launching products, making acquisitions, forming partnerships, and improving regional and international distribution networks.
For instance:
The retail automation market CAGR for 2033 is 9.7%.
The market is estimated to secure a valuation of US$ 18,845.3 million in 2023.
The projected market value of the market for 2033 is US$ 47,706.8 million.
Key players are developing the market by introducing new technologies and solutions.
Datalogic, NCR, and Honeywell are the key companies in this market.
1. Executive Summary
1.1. Global Market Outlook
1.2. Demand-side Trends
1.3. Supply-side Trends
1.4. Technology Roadmap Analysis
1.5. Analysis and Recommendations
2. Market Overview
2.1. Market Coverage / Taxonomy
2.2. Market Definition / Scope / Limitations
3. Market Background
3.1. Market Dynamics
3.1.1. Drivers
3.1.2. Restraints
3.1.3. Opportunity
3.1.4. Trends
3.2. Scenario Forecast
3.2.1. Demand in Optimistic Scenario
3.2.2. Demand in Likely Scenario
3.2.3. Demand in Conservative Scenario
3.3. Opportunity Map Analysis
3.4. Investment Feasibility Matrix
3.5. PESTLE and Porter’s Analysis
3.6. Regulatory Landscape
3.6.1. By Key Regions
3.6.2. By Key Countries
3.7. Regional Parent Market Outlook
4. Global Market Analysis 2018 to 2022 and Forecast, 2023 to 2033
4.1. Historical Market Size Value (US$ Million) Analysis, 2018 to 2022
4.2. Current and Future Market Size Value (US$ Million) Projections, 2023 to 2033
4.2.1. Y-o-Y Growth Trend Analysis
4.2.2. Absolute $ Opportunity Analysis
5. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Product Type
5.1. Introduction / Key Findings
5.2. Historical Market Size Value (US$ Million) Analysis By Product Type, 2018 to 2022
5.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Product Type, 2023 to 2033
5.3.1. Manned POS Terminal
5.3.2. Unattended Terminals
5.4. Y-o-Y Growth Trend Analysis By Product Type, 2018 to 2022
5.5. Absolute $ Opportunity Analysis By Product Type, 2023 to 2033
6. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Market
6.1. Introduction / Key Findings
6.2. Historical Market Size Value (US$ Million) Analysis By Market, 2018 to 2022
6.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Market, 2023 to 2033
6.3.1. Organized
6.3.2. Unorganized
6.4. Y-o-Y Growth Trend Analysis By Market, 2018 to 2022
6.5. Absolute $ Opportunity Analysis By Market, 2023 to 2033
7. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Industry
7.1. Introduction / Key Findings
7.2. Historical Market Size Value (US$ Million) Analysis By Industry , 2018 to 2022
7.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Industry , 2023 to 2033
7.3.1. FMCG
7.3.2. Health and Personal Care
7.3.3. Apparel and footwear
7.3.4. Hospitality
7.3.5. Consumer Electronics
7.3.6. Travel and Logistics
7.3.7. Oil & Gas
7.3.8. Others
7.4. Y-o-Y Growth Trend Analysis By Industry , 2018 to 2022
7.5. Absolute $ Opportunity Analysis By Industry , 2023 to 2033
8. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Region
8.1. Introduction
8.2. Historical Market Size Value (US$ Million) Analysis By Region, 2018 to 2022
8.3. Current Market Size Value (US$ Million) Analysis and Forecast By Region, 2023 to 2033
8.3.1. North America
8.3.2. Latin America
8.3.3. Western Europe
8.3.4. Eastern Europe
8.3.5. South Asia and Pacific
8.3.6. East Asia
8.3.7. Middle East and Africa
8.4. Market Attractiveness Analysis By Region
9. North America Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
9.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
9.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
9.2.1. By Country
9.2.1.1. USA
9.2.1.2. Canada
9.2.2. By Product Type
9.2.3. By Market
9.2.4. By Industry
9.3. Market Attractiveness Analysis
9.3.1. By Country
9.3.2. By Product Type
9.3.3. By Market
9.3.4. By Industry
9.4. Key Takeaways
10. Latin America Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
10.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
10.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
10.2.1. By Country
10.2.1.1. Brazil
10.2.1.2. Mexico
10.2.1.3. Rest of Latin America
10.2.2. By Product Type
10.2.3. By Market
10.2.4. By Industry
10.3. Market Attractiveness Analysis
10.3.1. By Country
10.3.2. By Product Type
10.3.3. By Market
10.3.4. By Industry
10.4. Key Takeaways
11. Western Europe Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
11.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
11.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
11.2.1. By Country
11.2.1.1. Germany
11.2.1.2. UK
11.2.1.3. France
11.2.1.4. Spain
11.2.1.5. Italy
11.2.1.6. Rest of Western Europe
11.2.2. By Product Type
11.2.3. By Market
11.2.4. By Industry
11.3. Market Attractiveness Analysis
11.3.1. By Country
11.3.2. By Product Type
11.3.3. By Market
11.3.4. By Industry
11.4. Key Takeaways
12. Eastern Europe Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
12.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
12.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
12.2.1. By Country
12.2.1.1. Poland
12.2.1.2. Russia
12.2.1.3. Czech Republic
12.2.1.4. Romania
12.2.1.5. Rest of Eastern Europe
12.2.2. By Product Type
12.2.3. By Market
12.2.4. By Industry
12.3. Market Attractiveness Analysis
12.3.1. By Country
12.3.2. By Product Type
12.3.3. By Market
12.3.4. By Industry
12.4. Key Takeaways
13. South Asia and Pacific Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
13.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
13.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
13.2.1. By Country
13.2.1.1. India
13.2.1.2. Bangladesh
13.2.1.3. Australia
13.2.1.4. New Zealand
13.2.1.5. Rest of South Asia and Pacific
13.2.2. By Product Type
13.2.3. By Market
13.2.4. By Industry
13.3. Market Attractiveness Analysis
13.3.1. By Country
13.3.2. By Product Type
13.3.3. By Market
13.3.4. By Industry
13.4. Key Takeaways
14. East Asia Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
14.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
14.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
14.2.1. By Country
14.2.1.1. China
14.2.1.2. Japan
14.2.1.3. South Korea
14.2.2. By Product Type
14.2.3. By Market
14.2.4. By Industry
14.3. Market Attractiveness Analysis
14.3.1. By Country
14.3.2. By Product Type
14.3.3. By Market
14.3.4. By Industry
14.4. Key Takeaways
15. Middle East and Africa Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
15.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
15.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
15.2.1. By Country
15.2.1.1. GCC Countries
15.2.1.2. South Africa
15.2.1.3. Israel
15.2.1.4. Rest of MEA
15.2.2. By Product Type
15.2.3. By Market
15.2.4. By Industry
15.3. Market Attractiveness Analysis
15.3.1. By Country
15.3.2. By Product Type
15.3.3. By Market
15.3.4. By Industry
15.4. Key Takeaways
16. Key Countries Market Analysis
16.1. USA
16.1.1. Pricing Analysis
16.1.2. Market Share Analysis, 2022
16.1.2.1. By Product Type
16.1.2.2. By Market
16.1.2.3. By Industry
16.2. Canada
16.2.1. Pricing Analysis
16.2.2. Market Share Analysis, 2022
16.2.2.1. By Product Type
16.2.2.2. By Market
16.2.2.3. By Industry
16.3. Brazil
16.3.1. Pricing Analysis
16.3.2. Market Share Analysis, 2022
16.3.2.1. By Product Type
16.3.2.2. By Market
16.3.2.3. By Industry
16.4. Mexico
16.4.1. Pricing Analysis
16.4.2. Market Share Analysis, 2022
16.4.2.1. By Product Type
16.4.2.2. By Market
16.4.2.3. By Industry
16.5. Germany
16.5.1. Pricing Analysis
16.5.2. Market Share Analysis, 2022
16.5.2.1. By Product Type
16.5.2.2. By Market
16.5.2.3. By Industry
16.6. UK
16.6.1. Pricing Analysis
16.6.2. Market Share Analysis, 2022
16.6.2.1. By Product Type
16.6.2.2. By Market
16.6.2.3. By Industry
16.7. France
16.7.1. Pricing Analysis
16.7.2. Market Share Analysis, 2022
16.7.2.1. By Product Type
16.7.2.2. By Market
16.7.2.3. By Industry
16.8. Spain
16.8.1. Pricing Analysis
16.8.2. Market Share Analysis, 2022
16.8.2.1. By Product Type
16.8.2.2. By Market
16.8.2.3. By Industry
16.9. Italy
16.9.1. Pricing Analysis
16.9.2. Market Share Analysis, 2022
16.9.2.1. By Product Type
16.9.2.2. By Market
16.9.2.3. By Industry
16.10. Poland
16.10.1. Pricing Analysis
16.10.2. Market Share Analysis, 2022
16.10.2.1. By Product Type
16.10.2.2. By Market
16.10.2.3. By Industry
16.11. Russia
16.11.1. Pricing Analysis
16.11.2. Market Share Analysis, 2022
16.11.2.1. By Product Type
16.11.2.2. By Market
16.11.2.3. By Industry
16.12. Czech Republic
16.12.1. Pricing Analysis
16.12.2. Market Share Analysis, 2022
16.12.2.1. By Product Type
16.12.2.2. By Market
16.12.2.3. By Industry
16.13. Romania
16.13.1. Pricing Analysis
16.13.2. Market Share Analysis, 2022
16.13.2.1. By Product Type
16.13.2.2. By Market
16.13.2.3. By Industry
16.14. India
16.14.1. Pricing Analysis
16.14.2. Market Share Analysis, 2022
16.14.2.1. By Product Type
16.14.2.2. By Market
16.14.2.3. By Industry
16.15. Bangladesh
16.15.1. Pricing Analysis
16.15.2. Market Share Analysis, 2022
16.15.2.1. By Product Type
16.15.2.2. By Market
16.15.2.3. By Industry
16.16. Australia
16.16.1. Pricing Analysis
16.16.2. Market Share Analysis, 2022
16.16.2.1. By Product Type
16.16.2.2. By Market
16.16.2.3. By Industry
16.17. New Zealand
16.17.1. Pricing Analysis
16.17.2. Market Share Analysis, 2022
16.17.2.1. By Product Type
16.17.2.2. By Market
16.17.2.3. By Industry
16.18. China
16.18.1. Pricing Analysis
16.18.2. Market Share Analysis, 2022
16.18.2.1. By Product Type
16.18.2.2. By Market
16.18.2.3. By Industry
16.19. Japan
16.19.1. Pricing Analysis
16.19.2. Market Share Analysis, 2022
16.19.2.1. By Product Type
16.19.2.2. By Market
16.19.2.3. By Industry
16.20. South Korea
16.20.1. Pricing Analysis
16.20.2. Market Share Analysis, 2022
16.20.2.1. By Product Type
16.20.2.2. By Market
16.20.2.3. By Industry
16.21. GCC Countries
16.21.1. Pricing Analysis
16.21.2. Market Share Analysis, 2022
16.21.2.1. By Product Type
16.21.2.2. By Market
16.21.2.3. By Industry
16.22. South Africa
16.22.1. Pricing Analysis
16.22.2. Market Share Analysis, 2022
16.22.2.1. By Product Type
16.22.2.2. By Market
16.22.2.3. By Industry
16.23. Israel
16.23.1. Pricing Analysis
16.23.2. Market Share Analysis, 2022
16.23.2.1. By Product Type
16.23.2.2. By Market
16.23.2.3. By Industry
17. Market Structure Analysis
17.1. Competition Dashboard
17.2. Competition Benchmarking
17.3. Market Share Analysis of Top Players
17.3.1. By Regional
17.3.2. By Product Type
17.3.3. By Market
17.3.4. By Industry
18. Competition Analysis
18.1. Competition Deep Dive
18.1.1. Datalogic S.p.A
18.1.1.1. Overview
18.1.1.2. Product Portfolio
18.1.1.3. Profitability by Market Segments
18.1.1.4. Sales Footprint
18.1.1.5. Strategy Overview
18.1.1.5.1. Marketing Strategy
18.1.2. NCR Corporation
18.1.2.1. Overview
18.1.2.2. Product Portfolio
18.1.2.3. Profitability by Market Segments
18.1.2.4. Sales Footprint
18.1.2.5. Strategy Overview
18.1.2.5.1. Marketing Strategy
18.1.3. Honeywell International Inc.
18.1.3.1. Overview
18.1.3.2. Product Portfolio
18.1.3.3. Profitability by Market Segments
18.1.3.4. Sales Footprint
18.1.3.5. Strategy Overview
18.1.3.5.1. Marketing Strategy
18.1.4. KUKA AG
18.1.4.1. Overview
18.1.4.2. Product Portfolio
18.1.4.3. Profitability by Market Segments
18.1.4.4. Sales Footprint
18.1.4.5. Strategy Overview
18.1.4.5.1. Marketing Strategy
18.1.5. Zebra Technologies Corporation
18.1.5.1. Overview
18.1.5.2. Product Portfolio
18.1.5.3. Profitability by Market Segments
18.1.5.4. Sales Footprint
18.1.5.5. Strategy Overview
18.1.5.5.1. Marketing Strategy
18.1.6. Fujitsu Limited
18.1.6.1. Overview
18.1.6.2. Product Portfolio
18.1.6.3. Profitability by Market Segments
18.1.6.4. Sales Footprint
18.1.6.5. Strategy Overview
18.1.6.5.1. Marketing Strategy
18.1.7. Samsung Electronics Co. Ltd.
18.1.7.1. Overview
18.1.7.2. Product Portfolio
18.1.7.3. Profitability by Market Segments
18.1.7.4. Sales Footprint
18.1.7.5. Strategy Overview
18.1.7.5.1. Marketing Strategy
18.1.8. Posiflex Technology, Inc.
18.1.8.1. Overview
18.1.8.2. Product Portfolio
18.1.8.3. Profitability by Market Segments
18.1.8.4. Sales Footprint
18.1.8.5. Strategy Overview
18.1.8.5.1. Marketing Strategy
18.1.9. Tecsys Inc.
18.1.9.1. Overview
18.1.9.2. Product Portfolio
18.1.9.3. Profitability by Market Segments
18.1.9.4. Sales Footprint
18.1.9.5. Strategy Overview
18.1.9.5.1. Marketing Strategy
18.1.10. Optimove Inc.
18.1.10.1. Overview
18.1.10.2. Product Portfolio
18.1.10.3. Profitability by Market Segments
18.1.10.4. Sales Footprint
18.1.10.5. Strategy Overview
18.1.10.5.1. Marketing Strategy
18.1.11. Capillary Technologies
18.1.11.1. Overview
18.1.11.2. Product Portfolio
18.1.11.3. Profitability by Market Segments
18.1.11.4. Sales Footprint
18.1.11.5. Strategy Overview
18.1.11.5.1. Marketing Strategy
18.1.12. Focus Softnet FZ LLC
18.1.12.1. Overview
18.1.12.2. Product Portfolio
18.1.12.3. Profitability by Market Segments
18.1.12.4. Sales Footprint
18.1.12.5. Strategy Overview
18.1.12.5.1. Marketing Strategy
18.1.13. Future Way Technical Services LLC
18.1.13.1. Overview
18.1.13.2. Product Portfolio
18.1.13.3. Profitability by Market Segments
18.1.13.4. Sales Footprint
18.1.13.5. Strategy Overview
18.1.13.5.1. Marketing Strategy
18.1.14. QR (Asia) Sdn Bhd
18.1.14.1. Overview
18.1.14.2. Product Portfolio
18.1.14.3. Profitability by Market Segments
18.1.14.4. Sales Footprint
18.1.14.5. Strategy Overview
18.1.14.5.1. Marketing Strategy
18.1.15. Microlistics
18.1.15.1. Overview
18.1.15.2. Product Portfolio
18.1.15.3. Profitability by Market Segments
18.1.15.4. Sales Footprint
18.1.15.5. Strategy Overview
18.1.15.5.1. Marketing Strategy
18.1.16. First Data Corporation
18.1.16.1. Overview
18.1.16.2. Product Portfolio
18.1.16.3. Profitability by Market Segments
18.1.16.4. Sales Footprint
18.1.16.5. Strategy Overview
18.1.16.5.1. Marketing Strategy
18.1.17. E&K Automation GmbH
18.1.17.1. Overview
18.1.17.2. Product Portfolio
18.1.17.3. Profitability by Market Segments
18.1.17.4. Sales Footprint
18.1.17.5. Strategy Overview
18.1.17.5.1. Marketing Strategy
18.1.18. Napse
18.1.18.1. Overview
18.1.18.2. Product Portfolio
18.1.18.3. Profitability by Market Segments
18.1.18.4. Sales Footprint
18.1.18.5. Strategy Overview
18.1.18.5.1. Marketing Strategy
18.1.19. Vinculum Solutions Pvt. Ltd.
18.1.19.1. Overview
18.1.19.2. Product Portfolio
18.1.19.3. Profitability by Market Segments
18.1.19.4. Sales Footprint
18.1.19.5. Strategy Overview
18.1.19.5.1. Marketing Strategy
19. Assumptions & Acronyms Used
20. Research Methodology
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Retail Automation Market
