Global Cloud Retail Market 2020 by Company, Regions, Type and Application, Forecast to 2025

  • Publish Date: Feb, 2020
  • Report ID: 408480
  • Category: Technology
  • Pages: 108
$3480

Market Overview

The global Cloud Retail market size is expected to gain market growth in the forecast period of 2020 to 2025, with a CAGR of 8.8% in the forecast period of 2020 to 2025 and will expected to reach USD 15890 million by 2025, from USD 11320 million in 2019.

The Cloud Retail market report provides a detailed analysis of global market size, regional and country-level market size, segmentation market growth, market share, competitive Landscape, sales analysis, impact of domestic and global market players, value chain optimization, trade regulations, recent developments, opportunities analysis, strategic market growth analysis, product launches, area marketplace expanding, and technological innovations.

Market segmentation

Cloud Retail market is split by Type and by Application. For the period 2015-2025, the growth among segments provide accurate calculations and forecasts for sales by Type and by Application in terms of volume and value. This analysis can help you expand your business by targeting qualified niche markets.

By Type, Cloud Retail market has been segmented into:

Public Cloud

Private Cloud

Hybrid Cloud

By Application, Cloud Retail has been segmented into:

Supply Chain Management

Customer Management

Merchandising

Workforce Management

Reporting and Analytics

Data Security

Omni-channel Solutions

Professional Service

Management Service

Regions and Countries Level Analysis

Regional analysis is another highly comprehensive part of the research and analysis study of the global Cloud Retail market presented in the report. This section sheds light on the sales growth of different regional and country-level Cloud Retail markets. For the historical and forecast period 2015 to 2025, it provides detailed and accurate country-wise volume analysis and region-wise market size analysis of the global Cloud Retail market.

The report offers in-depth assessment of the growth and other aspects of the Cloud Retail market in important countries (regions), including:

North America (United States, Canada and Mexico)

Europe (Germany, France, UK, Russia and Italy)

Asia-Pacific (China, Japan, Korea, India, Southeast Asia and Australia)

South America (Brazil, Argentina, Colombia)

Middle East and Africa (Saudi Arabia, UAE, Egypt, Nigeria and South Africa)

Competitive Landscape and Cloud Retail Market Share Analysis

Cloud Retail competitive landscape provides details by vendors, including company overview, company total revenue (financials), market potential, global presence, Cloud Retail sales and revenue generated, market share, price, production sites and facilities, SWOT analysis, product launch. For the period 2015-2020, this study provides the Cloud Retail sales, revenue and market share for each player covered in this report.

The major players covered in Cloud Retail are:

Cisco

Infor

SAP

Oracle

Fujitsu

IBM

JDA

Computer Sciences

Microsoft

Epicor

Table of Contents

1 Cloud Retail Market Overview

1.1 Product Overview and Scope of Cloud Retail

1.2 Classification of Cloud Retail by Type

1.2.1 Global Cloud Retail Revenue by Type: 2015 VS 2019 VS 2025

1.2.2 Global Cloud Retail Revenue Market Share by Type in 2019

1.2.3 Public Cloud

1.2.4 Private Cloud

1.2.5 Hybrid Cloud

1.3 Global Cloud Retail Market by Application

1.3.1 Overview: Global Cloud Retail Revenue by Application: 2015 VS 2019 VS 2025

1.3.2 Supply Chain Management

1.3.3 Customer Management

1.3.4 Merchandising

1.3.5 Workforce Management

1.3.6 Reporting and Analytics

1.3.7 Data Security

1.3.8 Omni-channel Solutions

1.3.9 Professional Service

1.3.10 Management Service

1.4 Global Cloud Retail Market by Regions

1.4.1 Global Cloud Retail Market Size by Regions: 2015 VS 2019 VS 2025

1.4.2 Global Market Size of Cloud Retail (2015-2025)

1.4.3 North America (USA, Canada and Mexico) Cloud Retail Status and Prospect (2015-2025)

1.4.4 Europe (Germany, France, UK, Russia and Italy) Cloud Retail Status and Prospect (2015-2025)

1.4.5 Asia-Pacific (China, Japan, Korea, India and Southeast Asia) Cloud Retail Status and Prospect (2015-2025)

1.4.6 South America (Brazil, Argentina, Colombia) Cloud Retail Status and Prospect (2015-2025)

1.4.7 Middle East & Africa (Saudi Arabia, UAE, Egypt, Nigeria and South Africa) Cloud Retail Status and Prospect (2015-2025)

2 Company Profiles

2.1 Cisco

2.1.1 Cisco Details

2.1.2 Cisco Major Business and Total Revenue (Financial Highlights) Analysis

2.1.3 Cisco SWOT Analysis

2.1.4 Cisco Product and Services

2.1.5 Cisco Cloud Retail Revenue, Gross Margin and Market Share (2018-2019)

2.2 Infor

2.2.1 Infor Details

2.2.2 Infor Major Business and Total Revenue (Financial Highlights) Analysis

2.2.3 Infor SWOT Analysis

2.2.4 Infor Product and Services

2.2.5 Infor Cloud Retail Revenue, Gross Margin and Market Share (2018-2019)

2.3 SAP

2.3.1 SAP Details

2.3.2 SAP Major Business and Total Revenue (Financial Highlights) Analysis

2.3.3 SAP SWOT Analysis

2.3.4 SAP Product and Services

2.3.5 SAP Cloud Retail Revenue, Gross Margin and Market Share (2018-2019)

2.4 Oracle

2.4.1 Oracle Details

2.4.2 Oracle Major Business and Total Revenue (Financial Highlights) Analysis

2.4.3 Oracle SWOT Analysis

2.4.4 Oracle Product and Services

2.4.5 Oracle Cloud Retail Revenue, Gross Margin and Market Share (2018-2019)

2.5 Fujitsu

2.5.1 Fujitsu Details

2.5.2 Fujitsu Major Business and Total Revenue (Financial Highlights) Analysis

2.5.3 Fujitsu SWOT Analysis

2.5.4 Fujitsu Product and Services

2.5.5 Fujitsu Cloud Retail Revenue, Gross Margin and Market Share (2018-2019)

2.6 IBM

2.6.1 IBM Details

2.6.2 IBM Major Business and Total Revenue (Financial Highlights) Analysis

2.6.3 IBM SWOT Analysis

2.6.4 IBM Product and Services

2.6.5 IBM Cloud Retail Revenue, Gross Margin and Market Share (2018-2019)

2.7 JDA

2.7.1 JDA Details

2.7.2 JDA Major Business and Total Revenue (Financial Highlights) Analysis

2.7.3 JDA SWOT Analysis

2.7.4 JDA Product and Services

2.7.5 JDA Cloud Retail Revenue, Gross Margin and Market Share (2018-2019)

2.8 Computer Sciences

2.8.1 Computer Sciences Details

2.8.2 Computer Sciences Major Business and Total Revenue (Financial Highlights) Analysis

2.8.3 Computer Sciences SWOT Analysis

2.8.4 Computer Sciences Product and Services

2.8.5 Computer Sciences Cloud Retail Revenue, Gross Margin and Market Share (2018-2019)

2.9 Microsoft

2.9.1 Microsoft Details

2.9.2 Microsoft Major Business and Total Revenue (Financial Highlights) Analysis

2.9.3 Microsoft SWOT Analysis

2.9.4 Microsoft Product and Services

2.9.5 Microsoft Cloud Retail Revenue, Gross Margin and Market Share (2018-2019)

2.10 Epicor

2.10.1 Epicor Details

2.10.2 Epicor Major Business and Total Revenue (Financial Highlights) Analysis

2.10.3 Epicor SWOT Analysis

2.10.4 Epicor Product and Services

2.10.5 Epicor Cloud Retail Revenue, Gross Margin and Market Share (2018-2019)

3 Market Competition, by Players

3.1 Global Cloud Retail Revenue and Share by Players (2015-2020)

3.2 Market Concentration Rate

3.2.1 Top 5 Cloud Retail Players Market Share

3.2.2 Top 10 Cloud Retail Players Market Share

3.3 Market Competition Trend

4 Market Size by Regions

4.1 Global Cloud Retail Revenue and Market Share by Regions

4.2 North America Cloud Retail Revenue and Growth Rate (2015-2020)

4.3 Europe Cloud Retail Revenue and Growth Rate (2015-2020)

4.4 Asia-Pacific Cloud Retail Revenue and Growth Rate (2015-2020)

4.5 South America Cloud Retail Revenue and Growth Rate (2015-2020)

4.6 Middle East & Africa Cloud Retail Revenue and Growth Rate (2015-2020)

5 North America Cloud Retail Revenue by Countries

5.1 North America Cloud Retail Revenue by Countries (2015-2020)

5.2 USA Cloud Retail Revenue and Growth Rate (2015-2020)

5.3 Canada Cloud Retail Revenue and Growth Rate (2015-2020)

5.4 Mexico Cloud Retail Revenue and Growth Rate (2015-2020)

6 Europe Cloud Retail Revenue by Countries

6.1 Europe Cloud Retail Revenue by Countries (2015-2020)

6.2 Germany Cloud Retail Revenue and Growth Rate (2015-2020)

6.3 UK Cloud Retail Revenue and Growth Rate (2015-2020)

6.4 France Cloud Retail Revenue and Growth Rate (2015-2020)

6.5 Russia Cloud Retail Revenue and Growth Rate (2015-2020)

6.6 Italy Cloud Retail Revenue and Growth Rate (2015-2020)

7 Asia-Pacific Cloud Retail Revenue by Countries

7.1 Asia-Pacific Cloud Retail Revenue by Countries (2015-2020)

7.2 China Cloud Retail Revenue and Growth Rate (2015-2020)

7.3 Japan Cloud Retail Revenue and Growth Rate (2015-2020)

7.4 Korea Cloud Retail Revenue and Growth Rate (2015-2020)

7.5 India Cloud Retail Revenue and Growth Rate (2015-2020)

7.6 Southeast Asia Cloud Retail Revenue and Growth Rate (2015-2020)

8 South America Cloud Retail Revenue by Countries

8.1 South America Cloud Retail Revenue by Countries (2015-2020)

8.2 Brazil Cloud Retail Revenue and Growth Rate (2015-2020)

8.3 Argentina Cloud Retail Revenue and Growth Rate (2015-2020)

9 Middle East & Africa Revenue Cloud Retail by Countries

9.1 Middle East & Africa Cloud Retail Revenue by Countries (2015-2020)

9.2 Saudi Arabia Cloud Retail Revenue and Growth Rate (2015-2020)

9.3 UAE Cloud Retail Revenue and Growth Rate (2015-2020)

9.4 Egypt Cloud Retail Revenue and Growth Rate (2015-2020)

9.5 South Africa Cloud Retail Revenue and Growth Rate (2015-2020)

10 Market Size Segment by Type

10.1 Global Cloud Retail Revenue and Market Share by Type (2015-2020)

10.2 Global Cloud Retail Market Forecast by Type (2019-2024)

10.3 Public Cloud Revenue Growth Rate (2015-2025)

10.4 Private Cloud Revenue Growth Rate (2015-2025)

10.5 Hybrid Cloud Revenue Growth Rate (2015-2025)

11 Global Cloud Retail Market Segment by Application

11.1 Global Cloud Retail Revenue Market Share by Application (2015-2020)

11.2 Cloud Retail Market Forecast by Application (2019-2024)

11.3 Supply Chain Management Revenue Growth (2015-2020)

11.4 Customer Management Revenue Growth (2015-2020)

11.5 Merchandising Revenue Growth (2015-2020)

11.6 Workforce Management Revenue Growth (2015-2020)

11.7 Reporting and Analytics Revenue Growth (2015-2020)

11.8 Data Security Revenue Growth (2015-2020)

11.9 Omni-channel Solutions Revenue Growth (2015-2020)

11.10 Professional Service Revenue Growth (2015-2020)

11.11 Management Service Revenue Growth (2015-2020)

12 Global Cloud Retail Market Size Forecast (2021-2025)

12.1 Global Cloud Retail Market Size Forecast (2021-2025)

12.2 Global Cloud Retail Market Forecast by Regions (2021-2025)

12.3 North America Cloud Retail Revenue Market Forecast (2021-2025)

12.4 Europe Cloud Retail Revenue Market Forecast (2021-2025)

12.5 Asia-Pacific Cloud Retail Revenue Market Forecast (2021-2025)

12.6 South America Cloud Retail Revenue Market Forecast (2021-2025)

12.7 Middle East & Africa Cloud Retail Revenue Market Forecast (2021-2025)

13 Research Findings and Conclusion

14 Appendix

14.1 Methodology

14.2 Data Source

14.3 Disclaimer

14.4 About US


List of Tables

Table 1. Global Cloud Retail Revenue (USD Million) by Type: 2015 VS 2019 VS 2025

Table 2. Breakdown of Cloud Retail by Company Type (Tier 1, Tier 2 and Tier 3)

Table 3. Global Cloud Retail Revenue (USD Million) by Application: 2015 VS 2019 VS 2025

Table 4. Global Market Cloud Retail Revenue (Million USD) Comparison by Regions 2015-2025

Table 5. Cisco Corporate Information, Location and Competitors

Table 6. Cisco Cloud Retail Major Business

Table 7. Cisco Cloud Retail Total Revenue (USD Million) (2017-2018)

Table 8. Cisco SWOT Analysis

Table 9. Cisco Cloud Retail Product and Solutions

Table 10. Cisco Cloud Retail Revenue (USD Million), Gross Margin and Market Share (2018-2019)

Table 11. Infor Corporate Information, Location and Competitors

Table 12. Infor Cloud Retail Major Business

Table 13. Infor Cloud Retail Total Revenue (USD Million) (2018-2019)

Table 14. Infor SWOT Analysis

Table 15. Infor Cloud Retail Product and Solutions

Table 16. Infor Cloud Retail Revenue (USD Million), Gross Margin and Market Share (2018-2019)

Table 17. SAP Corporate Information, Location and Competitors

Table 18. SAP Cloud Retail Major Business

Table 19. SAP Cloud Retail Total Revenue (USD Million) (2017-2018)

Table 20. SAP SWOT Analysis

Table 21. SAP Cloud Retail Product and Solutions

Table 22. SAP Cloud Retail Revenue (USD Million), Gross Margin and Market Share (2018-2019)

Table 23. Oracle Corporate Information, Location and Competitors

Table 24. Oracle Cloud Retail Major Business

Table 25. Oracle Cloud Retail Total Revenue (USD Million) (2017-2018)

Table 26. Oracle SWOT Analysis

Table 27. Oracle Cloud Retail Product and Solutions

Table 28. Oracle Cloud Retail Revenue (USD Million), Gross Margin and Market Share (2018-2019)

Table 29. Fujitsu Corporate Information, Location and Competitors

Table 30. Fujitsu Cloud Retail Major Business

Table 31. Fujitsu Cloud Retail Total Revenue (USD Million) (2017-2018)

Table 32. Fujitsu SWOT Analysis

Table 33. Fujitsu Cloud Retail Product and Solutions

Table 34. Fujitsu Cloud Retail Revenue (USD Million), Gross Margin and Market Share (2018-2019)

Table 35. IBM Corporate Information, Location and Competitors

Table 36. IBM Cloud Retail Major Business

Table 37. IBM Cloud Retail Total Revenue (USD Million) (2017-2018)

Table 38. IBM SWOT Analysis

Table 39. IBM Cloud Retail Product and Solutions

Table 40. IBM Cloud Retail Revenue (USD Million), Gross Margin and Market Share (2018-2019)

Table 41. JDA Corporate Information, Location and Competitors

Table 42. JDA Cloud Retail Major Business

Table 43. JDA Cloud Retail Total Revenue (USD Million) (2017-2018)

Table 44. JDA SWOT Analysis

Table 45. JDA Cloud Retail Product and Solutions

Table 46. JDA Cloud Retail Revenue (USD Million), Gross Margin and Market Share (2018-2019)

Table 47. Computer Sciences Corporate Information, Location and Competitors

Table 48. Computer Sciences Cloud Retail Major Business

Table 49. Computer Sciences Cloud Retail Total Revenue (USD Million) (2017-2018)

Table 50. Computer Sciences SWOT Analysis

Table 51. Computer Sciences Cloud Retail Product and Solutions

Table 52. Computer Sciences Cloud Retail Revenue (USD Million), Gross Margin and Market Share (2018-2019)

Table 53. Microsoft Corporate Information, Location and Competitors

Table 54. Microsoft Cloud Retail Major Business

Table 55. Microsoft Cloud Retail Total Revenue (USD Million) (2017-2018)

Table 56. Microsoft SWOT Analysis

Table 57. Microsoft Cloud Retail Product and Solutions

Table 58. Microsoft Cloud Retail Revenue (USD Million), Gross Margin and Market Share (2018-2019)

Table 59. Epicor Corporate Information, Location and Competitors

Table 60. Epicor Cloud Retail Major Business

Table 61. Epicor Cloud Retail Total Revenue (USD Million) (2017-2018)

Table 62. Epicor SWOT Analysis

Table 63. Epicor Cloud Retail Product and Solutions

Table 64. Epicor Cloud Retail Revenue (USD Million), Gross Margin and Market Share (2018-2019)

Table 65. Global Cloud Retail Revenue (Million USD) by Players (2015-2020)

Table 66. Global Cloud Retail Revenue Share by Players (2015-2020)

Table 67. Global Cloud Retail Revenue (Million USD) by Regions (2015-2020)

Table 68. Global Cloud Retail Revenue Market Share by Regions (2015-2020)

Table 69. North America Cloud Retail Revenue by Countries (2015-2020)

Table 70. North America Cloud Retail Revenue Market Share by Countries (2015-2020)

Table 71. Europe Cloud Retail Revenue (Million USD) by Countries (2015-2020)

Table 72. Asia-Pacific Cloud Retail Revenue (Million USD) by Countries (2015-2020)

Table 73. South America Cloud Retail Revenue by Countries (2015-2020)

Table 74. South America Cloud Retail Revenue Market Share by Countries (2015-2020)

Table 75. Middle East and Africa Cloud Retail Revenue (Million USD) by Countries (2015-2020)

Table 76. Middle East and Africa Cloud Retail Revenue Market Share by Countries (2015-2020)

Table 77. Global Cloud Retail Revenue (Million USD) by Type (2015-2020)

Table 78. Global Cloud Retail Revenue Share by Type (2015-2020)

Table 79. Global Cloud Retail Revenue Forecast by Type (2021-2025)

Table 80. Global Cloud Retail Revenue by Application (2015-2020)

Table 81. Global Cloud Retail Revenue Share by Application (2015-2020)

Table 82. Global Cloud Retail Revenue Forecast by Application (2021-2025)

Table 83. Global Cloud Retail Revenue (Million USD) Forecast by Regions (2021-2025)

List of Figures

Figure 1. Cloud Retail Picture

Figure 2. Global Cloud Retail Revenue Market Share by Type in 2019

Figure 3. Public Cloud Picture

Figure 4. Private Cloud Picture

Figure 5. Hybrid Cloud Picture

Figure 6. Cloud Retail Revenue Market Share by Application in 2019

Figure 7. Supply Chain Management Picture

Figure 8. Customer Management Picture

Figure 9. Merchandising Picture

Figure 10. Workforce Management Picture

Figure 11. Reporting and Analytics Picture

Figure 12. Data Security Picture

Figure 13. Omni-channel Solutions Picture

Figure 14. Professional Service Picture

Figure 15. Management Service Picture

Figure 16. Global Cloud Retail Revenue (USD Million) and Growth Rate (2015-2025)

Figure 17. North America Cloud Retail Revenue (Million USD) and Growth Rate (2015-2025)

Figure 18. Europe Cloud Retail Revenue (Million USD) and Growth Rate (2015-2025)

Figure 19. Asia-Pacific Cloud Retail Revenue (Million USD) and Growth Rate (2015-2025)

Figure 20. South America Cloud Retail Revenue (Million USD) and Growth Rate (2015-2025)

Figure 21. Middle East and Africa Cloud Retail Revenue (Million USD) and Growth Rate (2015-2025)

Figure 22. Global Cloud Retail Revenue (Million USD) and Growth Rate (2015-2025)

Figure 23. Global Cloud Retail Revenue Share by Players in 2019

Figure 24. Global Top 5 Players Cloud Retail Revenue Market Share in 2019

Figure 25. Global Top 10 Players Cloud Retail Revenue Market Share in 2019

Figure 26. Key Players Market Share Trend

Figure 27. Global Cloud Retail Revenue (Million USD) and Growth Rate (%) (2015-2020)

Figure 28. Global Cloud Retail Revenue Market Share by Regions (2015-2020)

Figure 29. Global Cloud Retail Revenue Market Share by Regions in 2018

Figure 30. North America Cloud Retail Revenue and Growth Rate (2015-2020)

Figure 31. Europe Cloud Retail Revenue and Growth Rate (2015-2020)

Figure 32. Asia-Pacific Cloud Retail Revenue and Growth Rate (2015-2020)

Figure 33. South America Cloud Retail Revenue and Growth Rate (2015-2020)

Figure 34. Middle East and Africa Cloud Retail Revenue and Growth Rate (2015-2020)

Figure 35. North America Cloud Retail Revenue Market Share by Countries (2015-2020)

Figure 36. North America Cloud Retail Revenue Market Share by Countries in 2019

Figure 37. USA Cloud Retail Revenue and Growth Rate (2015-2020)

Figure 38. Canada Cloud Retail Revenue and Growth Rate (2015-2020)

Figure 39. Mexico Cloud Retail Revenue and Growth Rate (2015-2020)

Figure 40. Europe Cloud Retail Revenue Market Share by Countries (2015-2020)

Figure 41. Europe Cloud Retail Revenue Market Share by Countries in 2019

Figure 42. Germany Cloud Retail Revenue and Growth Rate (2015-2020)

Figure 43. UK Cloud Retail Revenue and Growth Rate (2015-2020)

Figure 44. France Cloud Retail Revenue and Growth Rate (2015-2020)

Figure 45. Russia Cloud Retail Revenue and Growth Rate (2015-2020)

Figure 46. Italy Cloud Retail Revenue and Growth Rate (2015-2020)

Figure 47. Asia-Pacific Cloud Retail Revenue Market Share by Countries (2015-2020)

Figure 48. Asia-Pacific Cloud Retail Revenue Market Share by Countries in 2019

Figure 49. China Cloud Retail Revenue and Growth Rate (2015-2020)

Figure 50. Japan Cloud Retail Revenue and Growth Rate (2015-2020)

Figure 51. Korea Cloud Retail Revenue and Growth Rate (2015-2020)

Figure 52. India Cloud Retail Revenue and Growth Rate (2015-2020)

Figure 53. Southeast Asia Cloud Retail Revenue and Growth Rate (2015-2020)

Figure 54. South America Cloud Retail Revenue Market Share by Countries (2015-2020)

Figure 55. South America Cloud Retail Revenue Market Share by Countries in 2019

Figure 56. Brazil Cloud Retail Revenue and Growth Rate (2015-2020)

Figure 57. Argentina Cloud Retail Revenue and Growth Rate (2015-2020)

Figure 58. Middle East and Africa Cloud Retail Revenue Market Share by Countries (2015-2020)

Figure 59. Middle East and Africa Cloud Retail Revenue Market Share by Countries in 2019

Figure 60. Saudi Arabia Cloud Retail Revenue and Growth Rate (2015-2020)

Figure 61. UAE Cloud Retail Revenue and Growth Rate (2015-2020)

Figure 62. Egypt Cloud Retail Revenue and Growth Rate (2015-2020)

Figure 63. South Africa Cloud Retail Revenue and Growth Rate (2015-2020)

Figure 64. Global Cloud Retail Revenue Share by Type (2015-2020)

Figure 65. Global Cloud Retail Revenue Share by Type in 2019

Figure 66. Global Cloud Retail Market Share Forecast by Type (2021-2025)

Figure 67. Global Public Cloud Revenue Growth Rate (2015-2020)

Figure 68. Global Private Cloud Revenue Growth Rate (2015-2020)

Figure 69. Global Hybrid Cloud Revenue Growth Rate (2015-2020)

Figure 70. Global Cloud Retail Revenue Share by Application (2015-2020)

Figure 71. Global Cloud Retail Revenue Share by Application in 2019

Figure 72. Global Cloud Retail Market Share Forecast by Application (2021-2025)

Figure 73. Global Supply Chain Management Revenue Growth Rate (2015-2020)

Figure 74. Global Customer Management Revenue Growth Rate (2015-2020)

Figure 75. Global Merchandising Revenue Growth Rate (2015-2020)

Figure 76. Global Workforce Management Revenue Growth Rate (2015-2020)

Figure 77. Global Reporting and Analytics Revenue Growth Rate (2015-2020)

Figure 78. Global Data Security Revenue Growth Rate (2015-2020)

Figure 79. Global Omni-channel Solutions Revenue Growth Rate (2015-2020)

Figure 80. Global Professional Service Revenue Growth Rate (2015-2020)

Figure 81. Global Management Service Revenue Growth Rate (2015-2020)

Figure 82. Global Cloud Retail Revenue (Million USD) and Growth Rate Forecast (2021-2025)

Figure 83. Global Cloud Retail Revenue (Million USD) Forecast by Regions (2021-2025)

Figure 84. Global Cloud Retail Revenue Market Share Forecast by Regions (2021-2025)

Figure 85. North America Cloud Retail Revenue Market Forecast (2021-2025)

Figure 86. Europe Cloud Retail Revenue Market Forecast (2021-2025)

Figure 87. Asia-Pacific Cloud Retail Revenue Market Forecast (2021-2025)

Figure 88. South America Cloud Retail Revenue Market Forecast (2021-2025)

Figure 89. Middle East and Africa Cloud Retail Revenue Market Forecast (2021-2025)

Figure 90. Sales Channel: Direct Channel vs Indirect Channel

Research Methodology

Market research is a method of gathering, assessing and deducing data & information about a particular market. Market research is very crucial in these days. The techniques analyze about how a product/service can be offered to the market to its end-customers, observe the impact of that product/service based on the past customer experiences, and cater their needs and demands. Owing to the successful business ventures, accurate, relevant and thorough information is the base for all the organizations because market research report/study offers specific market related data & information about the industry growth prospects, perspective of the existing customers, and the overall market scenario prevailed in past, ongoing present and developing future. It allows the stakeholders and investors to determine the probability of a business before committing substantial resources to the venture. Market research helps in solving the marketing issues challenges that a business will most likely face.

Market research is valuable because of the following reasons:

  • Market research helps businesses strengthen a company’s position
  • Market research helps in minimizing the investment risks associated with the businesses in any industry vertical
  • Market research helps in identifying the potential threats and opportunities associated with the business industry
  • Market research aids in spotting the emerging trends and facilitates strategic planning in order to stay ahead in the competition

Our research report features both the aspects; qualitative and quantitative. Qualitative part provides insights about the market driving forces, potential opportunities, customer’s demands and requirement which in turn help the companies to come up with new strategies in order to survive in the long run competition. The quantitative segment offers the most credible information related to the industry. Based on the data gathering, we use to derive the market size and estimate their future growth prospects on the basis of global, region and country.

Our market research process involves with the four specific stages.

  • Data Collection
  • Data Synthesis
  • Market Deduction & Formulation
  • Data Screening & Validation

Data Collection: This stage of the market research process involves with the gathering and collecting of the market/industry related data from the sources. There are basically two types of research methods:

  • Primary Research: By conducting primary research, it involves with the two types of data gathering; exploratory and specific. Exploratory data is open-ended and helps us to define a particular problem involving surveys, and pilot study to the specific consumer group, knowing their needs and wants catering to the industry related product/service offering. Explanatory data gathering follows with the bit of unstructured way. Our analyst group leads the study by focusing on the key crowd, in this manner picking up bits of knowledge from them. In light of the points of view of the clients, this data is used to plan advertise techniques. In addition, showcase overviews causes us to comprehend the current scenario of the business. Specific data gathering on the hand, involves with the more structured and formal way. The primary research usually includes in telephonic conversations, E-mail collaborations and up close and personal meetings/interviews with the raw material suppliers, industrial wholesalers, and independent consultants/specialists. The interviews that we conduct offers important information on showcase size and industry development patterns. Our company likewise conducts interviews with the different business specialists so as to increase generally bits of knowledge of the business/showcase.
  • Secondary Research: The secondary research incorporates with the data gathering from the non-profit associations and organizations, for example, World bank, WHO, investor relations and their presentations, statistical databases, yearly(annual reports) reports, national government records, factual databases, websites, articles, white papers, press releases, blogs and others. From the annual report, we deduce an organization's income/revenue generation to comprehend the key product segment related to the market. We examine the organization sites and implement product mapping strategy which is significant for determining the segment revenue. In the product mapping technique, we choose and categorize the products offered by the companies catering to the industry specific market, derive the segment revenue for each of the organizations to get the market estimation. We also gather data & Information based on the supply and demand side of the value chain involved with the domain specific market. The supply side denotes the distributors, wholesalers, suppliers and the demand side denotes the end-consumers/customers of the value chain. The supply side of the market is analyzed by examining the product growth across industry in each of the region followed by its pricing analysis. The demand side is analyzed by the evaluating the penetration level and adoption rates of the product by referring to the historical/past data, examine the present usage and forecasting the future trends. 
  • Purchased Database: Our purchased data provides insights about the key market players/companies along with their financial analysis. Additionally, our data base also includes market related information. 
    • We also have the agreements with various reputed data providers, consultants and third party vendors who provide information which are not limited to:
      • Export & Import Data
      • Business Information related to trade and its statistics
      • Penetration level of a particular product/service based on geography mainly focusing on the unmet prerequisites of the customers.
  • In-house Library: Apart from these third-party sources, we have our in-house library of quantitative and qualitative data & information. Our in-house database includes market data for various industry and domains. These data are updated on regular basis as per the changing market scenario. Our library includes, internal audit reports, historic databases, archives and journal publications. Sometimes there are instances where there is no metadata or raw data available for any domain specific market. For those particular cases, we utilize our expertise to forecast and estimate the market size in order to generate comprehensive data sets. Our analyst team adopts a robust research technique in order to deduce the market size and its estimates:
  • Examining demographic along with psychographic segmentation for market evaluation
  • Analyzing the macro and micro-economic indicators for each demography
  • Evaluating the current industry trends popular in the market.

Data Synthesis: This stage includes the evaluation and assessment of all the data acquired from the primary and secondary research. It likewise includes in evaluating the information for any disparity watched while information gathering identified with the market. The data & information is gathered with consideration to the heterogeneity of sources. Scientific and statistical methods are implemented for synthesizing dissimilar information sets and provide the relevant data which is fundamental for formulating strategies. Our organization has broad involvement with information amalgamation where the information goes through different stages:

  • Information Screening: Information screening is the way toward examining information/data gathered from the sources for errors/mistakes and amending it before data integration process. The screening includes in looking at raw information, identifying and distinguishing mistakes and managing missing information. The reason for the information screening is to ensure information is effectively entered or not. Our organization utilizes objective and precise information screening grades through repetitive quality checks.
  • Data Integration: The data integration method involves with the incorporation of numerous information streams. The data streams is important so as to deliver investigate examines that give overall market scenario to the investors. These information streams originate from different research contemplates and our in house database. After the screening of the information, our analysts conduct efficient integration of the data streams, optimizing connections between integrated surveys and syndicated data sources. There are two research approaches that we follow so as to coordinate our information; top down methodology and bottom up methodology. 
    • Top-down analysis generally refers to using broad factors as a basis for decision making. The top-down approach helps in identifying the overall market scenario along with the external and internal factors effecting the market growth.
    • The bottom-up approach takes a completely different approach. Generally, the bottom-up approach focuses its analysis on micro attributes and specific characteristics of the domain specific market.

Market Formulation & Deduction: The last stage includes assigning the data & information in a suitable way in order to derive market size. Analyst reviews and domain based opinions based on holistic approach of market estimation combined with industry investigation additionally features a crucial role in this stage.

This stage includes with the finalization of the market size and numbers that we have gathered from primary and secondary research. With the data & information addition, we ensure that there is no gap in the market information. Market trend analysis is finished by our analysts by utilizing data extrapolation procedures, which give the most ideal figures to the market.

Data Validation: Validation is the most crucial step in the process. Validation & re-validation through scientifically designed technique and process that helps us finalize data-points to be used for final calculations. This stage also involves with the data triangulation process. Data triangulation generally implicates the cross validation and matching the data which has been collected from primary and secondary research methods.

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