Cloud Pos Point Of Sale Market Size, Type Analysis, Application Analysis, End-Use, Industry Analysis, Regional Outlook, Competitive Strategies And Forecasts, 2023-2032

  • Report ID: ME_00131210
  • Format: Electronic (PDF)
  • Publish Type: Publish
  • Number of Pages: 250
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Market Snapshot

CAGR:8.82
2023
2032

Source: Market Expertz

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Study Period 2019-2032
Base Year 2023
Forcast Year 2023-2032
CAGR 8.82
Information & Technology-companies
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Report Overview

Cloud POS (Point of Sale) Market Analysis Report 2023-2032: The Cloud POS (Point of Sale) Market is poised to experience substantial growth, with an estimated Compound Annual Growth Rate (CAGR) of 6.78% between 2022 and 2032. The market is projected to witness an increase of USD 8,932.71 million in size. This growth is driven by a confluence of factors, including the rise of e-commerce, adoption of digital payment solutions, and the need for flexible and scalable point-of-sale solutions across various industries. Cloud POS refers to a technology that enables businesses to process transactions and manage sales operations using cloud-based software and applications. It offers the advantage of real-time data access, remote management, and improved customer experience. Cloud POS Market Overview:

Drivers:

A key driver behind the growth of the Cloud POS market is the increasing adoption of digital payment solutions and e-commerce platforms. As consumers and businesses shift towards online transactions, the demand for seamless, secure, and integrated payment processing solutions has risen. Cloud POS systems offer the flexibility to accommodate various payment methods, including digital wallets, mobile payments, and online transactions, enhancing customer convenience and driving market growth. Furthermore, the scalability and cost-effectiveness offered by cloud-based solutions are pivotal in shaping the market's growth trajectory. Cloud POS eliminates the need for extensive on-site hardware and infrastructure, reducing upfront costs and allowing businesses to easily expand or downsize their operations as needed. This makes it an attractive option for small and medium-sized enterprises (SMEs) looking for agile and adaptable point-of-sale solutions.

Trends:

Integration of Artificial Intelligence (AI) and data analytics into Cloud POS systems is a significant trend influencing market growth. AI-powered analytics provide valuable insights into customer behavior, purchase patterns, and inventory management. This data-driven approach enables businesses to make informed decisions, enhance customer engagement, and optimize inventory levels, thereby contributing to improved operational efficiency and revenue growth. Moreover, the rise of omnichannel retailing has led to the integration of Cloud POS systems with various other platforms, such as e-commerce websites, mobile apps, and social media channels. This seamless integration allows businesses to provide consistent and personalized experiences across multiple touchpoints, attracting customers and bolstering sales.

Restraints:

Data security and privacy concerns pose notable challenges for the Cloud POS market. Storing sensitive customer and payment information on cloud servers requires robust security measures to prevent data breaches and unauthorized access. Instances of data breaches can not only harm a business's reputation but also lead to financial losses and legal implications. Addressing these security concerns and ensuring compliance with data protection regulations is crucial to building trust in cloud-based POS solutions. Furthermore, connectivity issues and downtime can disrupt the point-of-sale operations for businesses relying on cloud-based systems. While the cloud offers flexibility, it also relies heavily on stable internet connections. Any interruptions in connectivity could lead to delays in transactions, hampering customer experiences and potentially affecting revenue. Cloud POS Market Segmentation By Application: The retail sector is anticipated to witness significant growth in the Cloud POS market during the forecast period. Cloud POS systems offer retailers the ability to manage multiple stores, track inventory levels in real-time, and streamline customer interactions. With the rise of omnichannel retailing, Cloud POS solutions enable retailers to seamlessly integrate online and offline sales, offering customers a consistent shopping experience across various channels. Additionally, the hospitality industry is also expected to embrace Cloud POS solutions to manage orders, payments, and customer data efficiently in restaurants, cafes, and hotels. Cloud POS Market Segmentation By Type: The Software as a Service (SaaS) segment within the Cloud POS market is projected to experience substantial growth. SaaS-based Cloud POS solutions offer businesses the advantage of accessing software and services through a subscription model, reducing the need for upfront investments in hardware and software licenses. This makes it an appealing option for businesses seeking cost-effective and easily manageable point-of-sale solutions.

Regional Overview:


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North America is expected to be a significant contributor to the global Cloud POS market's growth, accounting for approximately 38% of the forecasted growth. The region's mature retail and hospitality sectors, coupled with the widespread adoption of digital payment solutions and advanced technologies, drive the demand for Cloud POS systems. In North America, the United States and Canada have seen rapid adoption of cloud-based solutions across various industries, fostering the market's expansion. Impact of COVID-19: The COVID-19 pandemic has acted as a catalyst for the adoption of Cloud POS solutions. Lockdowns, restrictions on physical store operations, and the need for contactless transactions accelerated the shift towards digital solutions in retail and hospitality sectors. Cloud POS systems enabled businesses to quickly pivot to online sales and adapt to changing consumer preferences. As economies recover and businesses evolve, the flexibility and remote management capabilities offered by Cloud POS are expected to continue driving market growth. Cloud POS Market Customer Landscape: The Cloud POS market report encompasses the customer adoption lifecycle, ranging from early adopters to laggards. It analyzes adoption rates across different regions and evaluates key purchase criteria and factors influencing price sensitivity, assisting companies in shaping their growth strategies. Major Cloud POS Market Companies: Market players are implementing diverse strategies, including collaborations, mergers and acquisitions, product launches, geographic expansion, and partnerships, to strengthen their presence in the market.

  • Square, Inc.
  • Shopify Inc.
  • Lightspeed POS Inc.
  • Toast, Inc.
  • Oracle Corporation
  • Upserve Inc.
  • Clover Network, Inc.
  • Vend Limited
  • Erply
  • NCR Corporation
  • ShopKeep
  • TouchBistro Inc.
  • Revel Systems Inc.
  • Bindo Labs Inc.
  • talech Inc.
  • Mswipe Technologies Pvt. Ltd. The competitive landscape analysis in the report offers insights into the strengths and weaknesses of key players, categorizing them based on their business focus and market dominance.

    Segment Overview:

    The Cloud POS market report forecasts revenue growth globally, regionally, and at the country level, providing insights into trends and growth opportunities from 2019 to 2032.
  • Application Outlook (USD Million, 2019 - 2032)
    • Retail
    • Hospitality
    • Others
  • Type Outlook (USD Million, 2019 - 2032)
    • Software as a Service (SaaS)
    • Platform as a Service (PaaS)
  • Geography Outlook (USD Million, 2019 - 2032)
    • North America
      • The U.S.
      • Canada
    • Europe
      • U.K.
      • Germany
      • France
      • Rest of Europe
    • APAC
      • China
      • India
    • South America
      • Brazil
      • Argentina
      • Rest of South America
    • Middle East & Africa
      • Saudi Arabia
      • UAE
      • Rest of Middle East & Africa

TABLE OF CONTENTS: GLOBAL CLOUD POS (POINT OF SALE) MARKET

Chapter 1. MARKET SYNOPSIS

1.1. Market Definition

1.2. Research Scope & Premise

1.3. Methodology

1.4. Market Estimation Technique

Chapter 2. EXECUTIVE SUMMARY

2.1. Summary Snapshot, 2016 – 2027

Chapter 3. INDICATIVE METRICS

3.1. Macro Indicators

Chapter 4. CLOUD POS (POINT OF SALE) MARKET SEGMENTATION & IMPACT ANALYSIS

4.1. Cloud POS (Point of Sale) Segmentation Analysis

4.2. Industrial Outlook

4.3. Price Trend Analysis

4.4. Regulatory Framework

4.5. Porter’s Five Forces Analysis

    4.5.1. Power Of Suppliers

    4.5.2. Power Of Buyers

    4.5.3. Threat Of Substitutes

    4.5.4. Threat Of New Entrants

    4.5.5. Competitive Rivalry

Chapter 5. CLOUD POS (POINT OF SALE) MARKET BY Type INSIGHTS & TRENDS

5.1. Segment 1 Dynamics & Market Share, 2019 & 2027

5.2. Native Cloud POS

    5.2.1. Market Estimates And Forecast, 2016 – 2027 (USD Million)

    5.2.2. Market Estimates And Forecast, By Region, 2016 – 2027 (USD Million)

5.3. Hosted Cloud POS

    5.3.1. Market Estimates And Forecast, 2016 – 2027 (USD Million)

    5.3.2. Market Estimates And Forecast, By Region, 2016 – 2027 (USD Million)

Chapter 6. CLOUD POS (POINT OF SALE) MARKET BY Organization Size INSIGHTS & TRENDS

6.1. Segment 2 Dynamics & Market Share, 2019 & 2027

6.2. Small & Medium Sized Enterprises

    6.2.1. Market Estimates And Forecast, 2016 – 2027 (USD Million)

    6.2.2. Market Estimates And Forecast, By Region, 2016 – 2027 (USD Million)

6.3. Large Enterprises

    6.3.1. Market Estimates And Forecast, 2016 – 2027 (USD Million)

    6.3.2. Market Estimates And Forecast, By Region, 2016 – 2027 (USD Million)

Chapter 7. CLOUD POS (POINT OF SALE) MARKET REGIONAL OUTLOOK

7.1. Cloud POS (Point of Sale) Market Share By Region, 2019 & 2027

7.2. NORTH AMERICA

    7.2.1. North America Cloud POS (Point of Sale) Market Estimates And Forecast, 2016 – 2027, (USD Million)

    7.2.2. North America Cloud POS (Point of Sale) Market Estimates And Forecast By Segment 1, 2016 –2027, (USD Million)

    7.2.3. North America Cloud POS (Point of Sale) Market Estimates And Forecast By Segment 2, 2016 –2027, (USD Million)

    7.2.4. North America Cloud POS (Point of Sale) Market Estimates And Forecast By Segment 3, 2016 –2027, (USD Million)

7.2.5. U.S.

    7.2.5.1. U.S. Cloud POS (Point of Sale) Market Estimates And Forecast, 2016 – 2027, (USD Million)

    7.2.5.2. U.S. Cloud POS (Point of Sale) Market Estimates And Forecast By Segment 1, 2016 –2027, (USD Million)

    7.2.5.3. U.S. Cloud POS (Point of Sale) Market Estimates And Forecast By Segment 2, 2016 –2027, (USD Million)

    7.2.5.4. U.S. Cloud POS (Point of Sale) Market Estimates And Forecast By Segment 3, 2016 –2027, (USD Million)

7.2.6. CANADA

    7.2.6.1. Canada Cloud POS (Point of Sale) Market Estimates And Forecast, 2016 – 2027, (USD Million)

    7.2.6.2. Canada Cloud POS (Point of Sale) Market Estimates And Forecast By Segment 1, 2016 –2027, (USD Million)

    7.2.6.3. Canada Cloud POS (Point of Sale) Market Estimates And Forecast By Segment 2, 2016 –2027, (USD Million)

    7.2.6.4. Canada Cloud POS (Point of Sale) Market Estimates And Forecast By Segment 3, 2016 –2027, (USD Million)

7.3. EUROPE

    7.3.1. Europe Cloud POS (Point of Sale) Market Estimates And Forecast, 2016 – 2027, (USD Million)

    7.3.2. Europe Cloud POS (Point of Sale) Market Estimates And Forecast By Segment 1, 2016 –2027, (USD Million)

    7.3.3. Europe Cloud POS (Point of Sale) Market Estimates And Forecast By Segment 2, 2016 –2027, (USD Million)

    7.3.4. Europe Cloud POS (Point of Sale) Market Estimates And Forecast By Segment 3, 2016 –2027, (USD Million)

7.3.5. GERMANY

    7.3.5.1. Germany Cloud POS (Point of Sale) Market Estimates And Forecast, 2016 – 2027, (USD Million)

    7.3.5.2. Germany Cloud POS (Point of Sale) Market Estimates And Forecast By Segment 1, 2016 –2027, (USD Million)

    7.3.5.3. Germany Cloud POS (Point of Sale) Market Estimates And Forecast By Segment 2, 2016 –2027, (USD Million)

    7.3.5.4. Germany Cloud POS (Point of Sale) Market Estimates And Forecast By Segment 3, 2016 –2027, (USD Million)

7.3.6. FRANCE

    7.3.6.1. France Cloud POS (Point of Sale) Market Estimates And Forecast, 2016 – 2027, (USD Million)

    7.3.6.2. France Cloud POS (Point of Sale) Market Estimates And Forecast By Segment 1, 2016 –2027, (USD Million)

    7.3.6.3. France Cloud POS (Point of Sale) Market Estimates And Forecast By Segment 2, 2016 –2027, (USD Million)

    7.3.6.4. France Cloud POS (Point of Sale) Market Estimates And Forecast By Segment 3, 2016 –2027, (USD Million)

7.3.7. U.K.

    7.3.7.1. U.K. Cloud POS (Point of Sale) Market Estimates And Forecast, 2016 – 2027, (USD Million)

    7.3.7.2. U.K. Cloud POS (Point of Sale) Market Estimates And Forecast By Segment 1, 2016 –2027, (USD Million)

    7.3.7.3. U.K. Cloud POS (Point of Sale) Market Estimates And Forecast By Segment 2, 2016 –2027, (USD Million)

    7.3.7.4. U.K. Cloud POS (Point of Sale) Market Estimates And Forecast By Segment 3, 2016 –2027, (USD Million)

7.4. ASIA-PACIFIC

    7.4.1. Asia Pacific Cloud POS (Point of Sale) Market Estimates And Forecast, 2016 – 2027, (USD Million)

    7.4.2. Asia Pacific Cloud POS (Point of Sale) Market Estimates And Forecast By Segment 1, 2016 –2027, (USD Million)

    7.4.3. Asia Pacific Cloud POS (Point of Sale) Market Estimates And Forecast By Segment 2, 2016 –2027, (USD Million)

    7.4.4. Asia Pacific Cloud POS (Point of Sale) Market Estimates And Forecast By Segment 3, 2016 –2027, (USD Million)

 7.4.5. CHINA

     7.4.5.1. China Cloud POS (Point of Sale) Market Estimates And Forecast, 2016 – 2027, (USD Million)

     7.4.5.2. China Cloud POS (Point of Sale) Market Estimates And Forecast By Segment 1, 2016 –2027, (USD Million)

     7.4.5.3. China Cloud POS (Point of Sale) Market Estimates And Forecast By Segment 2, 2016 –2027, (USD Million)

     7.4.5.4. China Cloud POS (Point of Sale) Market Estimates And Forecast By Segment 3, 2016 –2027, (USD Million)

7.4.6. INDIA

     7.4.6.1. India Cloud POS (Point of Sale) Market Estimates And Forecast, 2016 – 2027, (USD Million)

     7.4.6.2. India Cloud POS (Point of Sale) Market Estimates And Forecast By Segment 1, 2016 –2027, (USD Million)

     7.4.6.3. India Cloud POS (Point of Sale) Market Estimates And Forecast By Segment 2, 2016 –2027, (USD Million)

     7.4.6.4. India Cloud POS (Point of Sale) Market Estimates And Forecast By Segment 3, 2016 –2027, (USD Million)

7.4.7. JAPAN

     7.4.7.1. Japan Cloud POS (Point of Sale) Market Estimates And Forecast, 2016 – 2027, (USD Million)

     7.4.7.2. Japan Cloud POS (Point of Sale) Market Estimates And Forecast By Segment 1, 2016 –2027, (USD Million)

    7.4.7.3. Japan Cloud POS (Point of Sale) Market Estimates And Forecast By Segment 2, 2016 –2027, (USD Million)

    7.4.7.4. Japan Cloud POS (Point of Sale) Market Estimates And Forecast By Segment 3, 2016 –2027, (USD Million)

7.4.8. AUSTRALIA

    7.4.8.1. Australia Cloud POS (Point of Sale) Market Estimates And Forecast, 2016 – 2027, (USD Million)

    7.4.8.2. Australia Cloud POS (Point of Sale) Market Estimates And Forecast By Segment 1, 2016 –2027, (USD Million)

     7.4.8.3. Australia Cloud POS (Point of Sale) Market Estimates And Forecast By Segment 2, 2016 –2027, (USD Million)

    7.4.8.4. Australia Cloud POS (Point of Sale) Market Estimates And Forecast By Segment 3, 2016 –2027, (USD Million)

7.5. MIDDLE EAST AND AFRICA (MEA)

    7.5.1. Mea Cloud POS (Point of Sale) Market Estimates And Forecast, 2016 – 2027, (USD Million)

    7.5.2. Mea Cloud POS (Point of Sale) Market Estimates And Forecast By Segment 1, 2016 –2027, (USD Million)

    7.5.3. Mea Cloud POS (Point of Sale) Market Estimates And Forecast By Segment 2, 2016 –2027, (USD Million)

    7.5.4. Mea Cloud POS (Point of Sale) Market Estimates And Forecast By Segment 3, 2016 –2027, (USD Million)

7.6. LATIN AMERICA

     7.6.1. Latin America Cloud POS (Point of Sale) Market Estimates And Forecast, 2016 – 2027, (USD Million)

    7.6.2. Latin America Cloud POS (Point of Sale) Market Estimates And Forecast By Segment 1, 2016 –2027, (USD Million)

    7.6.3. Latin America Cloud POS (Point of Sale) Market Estimates And Forecast By Segment 2, 2016 –2027, (USD Million)

    7.6.4. Latin America Cloud POS (Point of Sale) Market Estimates And Forecast By Production Process, 2016 –2027, (USD Million)

    7.6.5. Latin America Cloud POS (Point of Sale) Market Estimates And Forecast By Segment 3, 2016 –2027, (USD Million)

Chapter 8. COMPETITIVE LANDSCAPE

8.1. Market Share By Manufacturers

8.2. Strategic Benchmarking

    8.2.1. New Product Launches

    8.2.2. Investment & Expansion

    8.2.3. Acquisitions

    8.2.4. Partnerships, Agreement, Mergers, Joint-Ventures

8.3. Vendor Landscape

     8.3.1. North American Suppliers

     8.3.2. European Suppliers

     8.3.3. Asia-Pacific Suppliers

     8.3.4. Rest Of The World Suppliers

Chapter 9. COMPANY PROFILES

9.1. Square Inc

    9.1.1. Company Overview

    9.1.2. Financial Performance

    9.1.3. Product Insights

    9.1.4. Strategic Initiatives

9.2. Cegid

    9.2.1. Company Overview

    9.2.2. Financial Performance

    9.2.3. Product Insights

    9.2.4. Strategic Initiatives

9.3. UTC Retail

    9.3.1. Company Overview

    9.3.2. Financial Performance

    9.3.3. Product Insights

    9.3.4. Strategic Initiatives

9.4. Shopify

    9.4.1. Company Overview

    9.4.2. Financial Performance

    9.4.3. Product Insights

    9.4.4. Strategic Initiatives

9.5. Intuit

    9.5.1. Company Overview

    9.5.2. Financial Performance

    9.5.3. Product Insights

    9.5.4. Strategic Initiatives

9.6. Oracle Corporation

    9.6.1. Company Overview

    9.6.2. Financial Performance

    9.6.3. Product Insights

    9.6.4. Strategic Initiatives

9.7. RetailOps

    9.7.1. Company Overview

    9.7.2. Financial Performance

    9.7.3. Product Insights

    9.7.4. Strategic Initiatives

9.8. B2B Soft

    9.8.1. Company Overview

    9.8.2. Financial Performance

    9.8.3. Product Insights

    9.8.4. Strategic Initiatives

9.9. Celerant Technology

    9.9.1. Company Overview

    9.9.2. Financial Performance

    9.9.3. Product Insights

    9.9.4. Strategic Initiatives

9.10. Touchsuite

    9.10.1. Company Overview

    9.10.2. Financial Performance

    9.10.3. Product Insights

    9.10.4. Strategic Initiatives

RESEARCH METHODOLOGY

A research methodology is a systematic approach for assessing or conducting a market study. Researchers tend to draw on a variety of both qualitative and quantitative study methods, inclusive of investigations, survey, secondary data and market observation.

Such plans can focus on classifying the products offered by leading market players or simply use statistical models to interpret observations or test hypotheses. While some methods aim for a detailed description of the factors behind an observation, others present the context of the current market scenario.

Now let’s take a closer look at the research methods here.

Secondary Research Model

Extensive data is obtained and cumulated on a substantial basis during the inception phase of the research process. The data accumulated is consistently filtered through validation from the in-house database, paid sources as well reputable industry magazines. A robust research study requires an understanding of the overall value chain. Annual reports and financials of industry players are studied thoroughly to have a comprehensive idea of the market taxonomy.

Primary Insights

Post conglomeration of the data obtained through secondary research; a validation process is initiated to verify the numbers or figures. This process is usually performed by having a detailed discussion with the industry experts.

However, we do not restrict our primary interviews only to the industry leaders. Our team covers the entire value chain while verifying the data. A significant number of raw material suppliers, local manufacturers, distributors, and stakeholders are interviewed to make our findings authentic. The current trends which include the drivers, restraints, and opportunities are also derived through the primary research process.

Market Estimation

The market estimation is conducted by analyzing the data collected through both secondary and primary research. This process involves market breakdown, bottom-up and top- down approach.

Moreover, while forecasting the market a comprehensive statistical time series model is designed for each market. Macroeconomic indicators are considered to understand the current trends of the market. Each data point is verified by the process of data triangulation method to arrive at the final market estimates.

Final Presentation

The penultimate process results in a holistic research report. The study equips key industry players to undertake significant strategic decisions through the findings. The report encompasses detailed market information. Graphical representations of the current market trends are also made available in order to make the study highly comprehensible for the reader.

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