What is scope of the report?

The base year for the study has been considered 2019, historic year 2014 and 2018. Read More

What are the significant segments operating in the market?

Market is segmented on the basis. Read More

What are the vital market dynamics?

The report offers in-depth analysis of driving factors, opportunities, restraints, and challenges for gaining the key insight of the market. Read More

What does a company profile includes?

The report provides company profile of the key players operating in the market and a comparative analysis based on their business overviews industry offering. Read More

Global Analytics as a Service Market 2020 by Company, Regions, Type and Application, Forecast to 2025

Publish Date: Mar, 2020
Report ID: 412080
Category: Business Services
Pages: 107

$3480

Market Overview

The global Analytics as a Service market size is expected to gain market growth in the forecast period of 2020 to 2025, with a CAGR of xx% in the forecast period of 2020 to 2025 and will expected to reach USD xx million by 2025, from USD xx million in 2019.

The Analytics as a Service 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

Analytics as a Service 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, Analytics as a Service market has been segmented into:

Predictive Analytics

Prescriptive Analytics

Diagnostic Analytics

Descriptive Analytics

By Application, Analytics as a Service has been segmented into:

Banking, Financial Services and Insurance

Retail and Wholesale

Government

Healthcare and Life Sciences

Manufacturing

Telecommunication and IT

Energy and Utility

Travel and Hospitality

Transportation and Logistics

Regions and Countries Level Analysis

Regional analysis is another highly comprehensive part of the research and analysis study of the global Analytics as a Service market presented in the report. This section sheds light on the sales growth of different regional and country-level Analytics as a Service 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 Analytics as a Service market.

The report offers in-depth assessment of the growth and other aspects of the Analytics as a Service 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 Analytics as a Service Market Share Analysis

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

The major players covered in Analytics as a Service are:

IBM

EMC

HPE

Oracle

Amazon Web Services (AWS)

DXC Technology

Microsoft

Google

SAS

GoodData

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Table of Contents

1 Analytics as a Service Market Overview

1.1 Product Overview and Scope of Analytics as a Service

1.2 Classification of Analytics as a Service by Type

1.2.1 Global Analytics as a Service Revenue by Type: 2015 VS 2019 VS 2025

1.2.2 Global Analytics as a Service Revenue Market Share by Type in 2019

1.2.3 Predictive Analytics

1.2.4 Prescriptive Analytics

1.2.5 Diagnostic Analytics

1.2.6 Descriptive Analytics

1.3 Global Analytics as a Service Market by Application

1.3.1 Overview: Global Analytics as a Service Revenue by Application: 2015 VS 2019 VS 2025

1.3.2 Banking, Financial Services and Insurance

1.3.3 Retail and Wholesale

1.3.4 Government

1.3.5 Healthcare and Life Sciences

1.3.6 Manufacturing

1.3.7 Telecommunication and IT

1.3.8 Energy and Utility

1.3.9 Travel and Hospitality

1.3.10 Transportation and Logistics

1.4 Global Analytics as a Service Market by Regions

1.4.1 Global Analytics as a Service Market Size by Regions: 2015 VS 2019 VS 2025

1.4.2 Global Market Size of Analytics as a Service (2015-2025)

1.4.3 North America (USA, Canada and Mexico) Analytics as a Service Status and Prospect (2015-2025)

1.4.4 Europe (Germany, France, UK, Russia and Italy) Analytics as a Service Status and Prospect (2015-2025)

1.4.5 Asia-Pacific (China, Japan, Korea, India and Southeast Asia) Analytics as a Service Status and Prospect (2015-2025)

1.4.6 South America (Brazil, Argentina, Colombia) Analytics as a Service Status and Prospect (2015-2025)

1.4.7 Middle East & Africa (Saudi Arabia, UAE, Egypt, Nigeria and South Africa) Analytics as a Service Status and Prospect (2015-2025)

2 Company Profiles

2.1 IBM

2.1.1 IBM Details

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

2.1.3 IBM SWOT Analysis

2.1.4 IBM Product and Services

2.1.5 IBM Analytics as a Service Revenue, Gross Margin and Market Share (2018-2019)

2.2 EMC

2.2.1 EMC Details

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

2.2.3 EMC SWOT Analysis

2.2.4 EMC Product and Services

2.2.5 EMC Analytics as a Service Revenue, Gross Margin and Market Share (2018-2019)

2.3 HPE

2.3.1 HPE Details

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

2.3.3 HPE SWOT Analysis

2.3.4 HPE Product and Services

2.3.5 HPE Analytics as a Service 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 Analytics as a Service Revenue, Gross Margin and Market Share (2018-2019)

2.5 Amazon Web Services (AWS)

2.5.1 Amazon Web Services (AWS) Details

2.5.2 Amazon Web Services (AWS) Major Business and Total Revenue (Financial Highlights) Analysis

2.5.3 Amazon Web Services (AWS) SWOT Analysis

2.5.4 Amazon Web Services (AWS) Product and Services

2.5.5 Amazon Web Services (AWS) Analytics as a Service Revenue, Gross Margin and Market Share (2018-2019)

2.6 DXC Technology

2.6.1 DXC Technology Details

2.6.2 DXC Technology Major Business and Total Revenue (Financial Highlights) Analysis

2.6.3 DXC Technology SWOT Analysis

2.6.4 DXC Technology Product and Services

2.6.5 DXC Technology Analytics as a Service Revenue, Gross Margin and Market Share (2018-2019)

2.7 Microsoft

2.7.1 Microsoft Details

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

2.7.3 Microsoft SWOT Analysis

2.7.4 Microsoft Product and Services

2.7.5 Microsoft Analytics as a Service Revenue, Gross Margin and Market Share (2018-2019)

2.8 Google

2.8.1 Google Details

2.8.2 Google Major Business and Total Revenue (Financial Highlights) Analysis

2.8.3 Google SWOT Analysis

2.8.4 Google Product and Services

2.8.5 Google Analytics as a Service Revenue, Gross Margin and Market Share (2018-2019)

2.9 SAS

2.9.1 SAS Details

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

2.9.3 SAS SWOT Analysis

2.9.4 SAS Product and Services

2.9.5 SAS Analytics as a Service Revenue, Gross Margin and Market Share (2018-2019)

2.10 GoodData

2.10.1 GoodData Details

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

2.10.3 GoodData SWOT Analysis

2.10.4 GoodData Product and Services

2.10.5 GoodData Analytics as a Service Revenue, Gross Margin and Market Share (2018-2019)

3 Market Competition, by Players

3.1 Global Analytics as a Service Revenue and Share by Players (2015-2020)

3.2 Market Concentration Rate

3.2.1 Top 5 Analytics as a Service Players Market Share

3.2.2 Top 10 Analytics as a Service Players Market Share

3.3 Market Competition Trend

4 Market Size by Regions

4.1 Global Analytics as a Service Revenue and Market Share by Regions

4.2 North America Analytics as a Service Revenue and Growth Rate (2015-2020)

4.3 Europe Analytics as a Service Revenue and Growth Rate (2015-2020)

4.4 Asia-Pacific Analytics as a Service Revenue and Growth Rate (2015-2020)

4.5 South America Analytics as a Service Revenue and Growth Rate (2015-2020)

4.6 Middle East & Africa Analytics as a Service Revenue and Growth Rate (2015-2020)

5 North America Analytics as a Service Revenue by Countries

5.1 North America Analytics as a Service Revenue by Countries (2015-2020)

5.2 USA Analytics as a Service Revenue and Growth Rate (2015-2020)

5.3 Canada Analytics as a Service Revenue and Growth Rate (2015-2020)

5.4 Mexico Analytics as a Service Revenue and Growth Rate (2015-2020)

6 Europe Analytics as a Service Revenue by Countries

6.1 Europe Analytics as a Service Revenue by Countries (2015-2020)

6.2 Germany Analytics as a Service Revenue and Growth Rate (2015-2020)

6.3 UK Analytics as a Service Revenue and Growth Rate (2015-2020)

6.4 France Analytics as a Service Revenue and Growth Rate (2015-2020)

6.5 Russia Analytics as a Service Revenue and Growth Rate (2015-2020)

6.6 Italy Analytics as a Service Revenue and Growth Rate (2015-2020)

7 Asia-Pacific Analytics as a Service Revenue by Countries

7.1 Asia-Pacific Analytics as a Service Revenue by Countries (2015-2020)

7.2 China Analytics as a Service Revenue and Growth Rate (2015-2020)

7.3 Japan Analytics as a Service Revenue and Growth Rate (2015-2020)

7.4 Korea Analytics as a Service Revenue and Growth Rate (2015-2020)

7.5 India Analytics as a Service Revenue and Growth Rate (2015-2020)

7.6 Southeast Asia Analytics as a Service Revenue and Growth Rate (2015-2020)

8 South America Analytics as a Service Revenue by Countries

8.1 South America Analytics as a Service Revenue by Countries (2015-2020)

8.2 Brazil Analytics as a Service Revenue and Growth Rate (2015-2020)

8.3 Argentina Analytics as a Service Revenue and Growth Rate (2015-2020)

9 Middle East & Africa Revenue Analytics as a Service by Countries

9.1 Middle East & Africa Analytics as a Service Revenue by Countries (2015-2020)

9.2 Saudi Arabia Analytics as a Service Revenue and Growth Rate (2015-2020)

9.3 UAE Analytics as a Service Revenue and Growth Rate (2015-2020)

9.4 Egypt Analytics as a Service Revenue and Growth Rate (2015-2020)

9.5 South Africa Analytics as a Service Revenue and Growth Rate (2015-2020)

10 Market Size Segment by Type

10.1 Global Analytics as a Service Revenue and Market Share by Type (2015-2020)

10.2 Global Analytics as a Service Market Forecast by Type (2019-2024)

10.3 Predictive Analytics Revenue Growth Rate (2015-2025)

10.4 Prescriptive Analytics Revenue Growth Rate (2015-2025)

10.5 Diagnostic Analytics Revenue Growth Rate (2015-2025)

10.6 Descriptive Analytics Revenue Growth Rate (2015-2025)

11 Global Analytics as a Service Market Segment by Application

11.1 Global Analytics as a Service Revenue Market Share by Application (2015-2020)

11.2 Analytics as a Service Market Forecast by Application (2019-2024)

11.3 Banking, Financial Services and Insurance Revenue Growth (2015-2020)

11.4 Retail and Wholesale Revenue Growth (2015-2020)

11.5 Government Revenue Growth (2015-2020)

11.6 Healthcare and Life Sciences Revenue Growth (2015-2020)

11.7 Manufacturing Revenue Growth (2015-2020)

11.8 Telecommunication and IT Revenue Growth (2015-2020)

11.9 Energy and Utility Revenue Growth (2015-2020)

11.10 Travel and Hospitality Revenue Growth (2015-2020)

11.11 Transportation and Logistics Revenue Growth (2015-2020)

12 Global Analytics as a Service Market Size Forecast (2021-2025)

12.1 Global Analytics as a Service Market Size Forecast (2021-2025)

12.2 Global Analytics as a Service Market Forecast by Regions (2021-2025)

12.3 North America Analytics as a Service Revenue Market Forecast (2021-2025)

12.4 Europe Analytics as a Service Revenue Market Forecast (2021-2025)

12.5 Asia-Pacific Analytics as a Service Revenue Market Forecast (2021-2025)

12.6 South America Analytics as a Service Revenue Market Forecast (2021-2025)

12.7 Middle East & Africa Analytics as a Service 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 Analytics as a Service Revenue (USD Million) by Type: 2015 VS 2019 VS 2025

Table 2. Breakdown of Analytics as a Service by Company Type (Tier 1, Tier 2 and Tier 3)

Table 3. Global Analytics as a Service Revenue (USD Million) by Application: 2015 VS 2019 VS 2025

Table 4. Global Market Analytics as a Service Revenue (Million USD) Comparison by Regions 2015-2025

Table 5. IBM Corporate Information, Location and Competitors

Table 6. IBM Analytics as a Service Major Business

Table 7. IBM Analytics as a Service Total Revenue (USD Million) (2017-2018)

Table 8. IBM SWOT Analysis

Table 9. IBM Analytics as a Service Product and Solutions

Table 10. IBM Analytics as a Service Revenue (USD Million), Gross Margin and Market Share (2018-2019)

Table 11. EMC Corporate Information, Location and Competitors

Table 12. EMC Analytics as a Service Major Business

Table 13. EMC Analytics as a Service Total Revenue (USD Million) (2018-2019)

Table 14. EMC SWOT Analysis

Table 15. EMC Analytics as a Service Product and Solutions

Table 16. EMC Analytics as a Service Revenue (USD Million), Gross Margin and Market Share (2018-2019)

Table 17. HPE Corporate Information, Location and Competitors

Table 18. HPE Analytics as a Service Major Business

Table 19. HPE Analytics as a Service Total Revenue (USD Million) (2017-2018)

Table 20. HPE SWOT Analysis

Table 21. HPE Analytics as a Service Product and Solutions

Table 22. HPE Analytics as a Service Revenue (USD Million), Gross Margin and Market Share (2018-2019)

Table 23. Oracle Corporate Information, Location and Competitors

Table 24. Oracle Analytics as a Service Major Business

Table 25. Oracle Analytics as a Service Total Revenue (USD Million) (2017-2018)

Table 26. Oracle SWOT Analysis

Table 27. Oracle Analytics as a Service Product and Solutions

Table 28. Oracle Analytics as a Service Revenue (USD Million), Gross Margin and Market Share (2018-2019)

Table 29. Amazon Web Services (AWS) Corporate Information, Location and Competitors

Table 30. Amazon Web Services (AWS) Analytics as a Service Major Business

Table 31. Amazon Web Services (AWS) Analytics as a Service Total Revenue (USD Million) (2017-2018)

Table 32. Amazon Web Services (AWS) SWOT Analysis

Table 33. Amazon Web Services (AWS) Analytics as a Service Product and Solutions

Table 34. Amazon Web Services (AWS) Analytics as a Service Revenue (USD Million), Gross Margin and Market Share (2018-2019)

Table 35. DXC Technology Corporate Information, Location and Competitors

Table 36. DXC Technology Analytics as a Service Major Business

Table 37. DXC Technology Analytics as a Service Total Revenue (USD Million) (2017-2018)

Table 38. DXC Technology SWOT Analysis

Table 39. DXC Technology Analytics as a Service Product and Solutions

Table 40. DXC Technology Analytics as a Service Revenue (USD Million), Gross Margin and Market Share (2018-2019)

Table 41. Microsoft Corporate Information, Location and Competitors

Table 42. Microsoft Analytics as a Service Major Business

Table 43. Microsoft Analytics as a Service Total Revenue (USD Million) (2017-2018)

Table 44. Microsoft SWOT Analysis

Table 45. Microsoft Analytics as a Service Product and Solutions

Table 46. Microsoft Analytics as a Service Revenue (USD Million), Gross Margin and Market Share (2018-2019)

Table 47. Google Corporate Information, Location and Competitors

Table 48. Google Analytics as a Service Major Business

Table 49. Google Analytics as a Service Total Revenue (USD Million) (2017-2018)

Table 50. Google SWOT Analysis

Table 51. Google Analytics as a Service Product and Solutions

Table 52. Google Analytics as a Service Revenue (USD Million), Gross Margin and Market Share (2018-2019)

Table 53. SAS Corporate Information, Location and Competitors

Table 54. SAS Analytics as a Service Major Business

Table 55. SAS Analytics as a Service Total Revenue (USD Million) (2017-2018)

Table 56. SAS SWOT Analysis

Table 57. SAS Analytics as a Service Product and Solutions

Table 58. SAS Analytics as a Service Revenue (USD Million), Gross Margin and Market Share (2018-2019)

Table 59. GoodData Corporate Information, Location and Competitors

Table 60. GoodData Analytics as a Service Major Business

Table 61. GoodData Analytics as a Service Total Revenue (USD Million) (2017-2018)

Table 62. GoodData SWOT Analysis

Table 63. GoodData Analytics as a Service Product and Solutions

Table 64. GoodData Analytics as a Service Revenue (USD Million), Gross Margin and Market Share (2018-2019)

Table 65. Global Analytics as a Service Revenue (Million USD) by Players (2015-2020)

Table 66. Global Analytics as a Service Revenue Share by Players (2015-2020)

Table 67. Global Analytics as a Service Revenue (Million USD) by Regions (2015-2020)

Table 68. Global Analytics as a Service Revenue Market Share by Regions (2015-2020)

Table 69. North America Analytics as a Service Revenue by Countries (2015-2020)

Table 70. North America Analytics as a Service Revenue Market Share by Countries (2015-2020)

Table 71. Europe Analytics as a Service Revenue (Million USD) by Countries (2015-2020)

Table 72. Asia-Pacific Analytics as a Service Revenue (Million USD) by Countries (2015-2020)

Table 73. South America Analytics as a Service Revenue by Countries (2015-2020)

Table 74. South America Analytics as a Service Revenue Market Share by Countries (2015-2020)

Table 75. Middle East and Africa Analytics as a Service Revenue (Million USD) by Countries (2015-2020)

Table 76. Middle East and Africa Analytics as a Service Revenue Market Share by Countries (2015-2020)

Table 77. Global Analytics as a Service Revenue (Million USD) by Type (2015-2020)

Table 78. Global Analytics as a Service Revenue Share by Type (2015-2020)

Table 79. Global Analytics as a Service Revenue Forecast by Type (2021-2025)

Table 80. Global Analytics as a Service Revenue by Application (2015-2020)

Table 81. Global Analytics as a Service Revenue Share by Application (2015-2020)

Table 82. Global Analytics as a Service Revenue Forecast by Application (2021-2025)

Table 83. Global Analytics as a Service Revenue (Million USD) Forecast by Regions (2021-2025)

List of Figures

Figure 1. Analytics as a Service Picture

Figure 2. Global Analytics as a Service Revenue Market Share by Type in 2019

Figure 3. Predictive Analytics Picture

Figure 4. Prescriptive Analytics Picture

Figure 5. Diagnostic Analytics Picture

Figure 6. Descriptive Analytics Picture

Figure 7. Analytics as a Service Revenue Market Share by Application in 2019

Figure 8. Banking, Financial Services and Insurance Picture

Figure 9. Retail and Wholesale Picture

Figure 10. Government Picture

Figure 11. Healthcare and Life Sciences Picture

Figure 12. Manufacturing Picture

Figure 13. Telecommunication and IT Picture

Figure 14. Energy and Utility Picture

Figure 15. Travel and Hospitality Picture

Figure 16. Transportation and Logistics Picture

Figure 17. Global Analytics as a Service Revenue (USD Million) and Growth Rate (2015-2025)

Figure 18. North America Analytics as a Service Revenue (Million USD) and Growth Rate (2015-2025)

Figure 19. Europe Analytics as a Service Revenue (Million USD) and Growth Rate (2015-2025)

Figure 20. Asia-Pacific Analytics as a Service Revenue (Million USD) and Growth Rate (2015-2025)

Figure 21. South America Analytics as a Service Revenue (Million USD) and Growth Rate (2015-2025)

Figure 22. Middle East and Africa Analytics as a Service Revenue (Million USD) and Growth Rate (2015-2025)

Figure 23. Global Analytics as a Service Revenue (Million USD) and Growth Rate (2015-2025)

Figure 24. Global Analytics as a Service Revenue Share by Players in 2019

Figure 25. Global Top 5 Players Analytics as a Service Revenue Market Share in 2019

Figure 26. Global Top 10 Players Analytics as a Service Revenue Market Share in 2019

Figure 27. Key Players Market Share Trend

Figure 28. Global Analytics as a Service Revenue (Million USD) and Growth Rate (%) (2015-2020)

Figure 29. Global Analytics as a Service Revenue Market Share by Regions (2015-2020)

Figure 30. Global Analytics as a Service Revenue Market Share by Regions in 2018

Figure 31. North America Analytics as a Service Revenue and Growth Rate (2015-2020)

Figure 32. Europe Analytics as a Service Revenue and Growth Rate (2015-2020)

Figure 33. Asia-Pacific Analytics as a Service Revenue and Growth Rate (2015-2020)

Figure 34. South America Analytics as a Service Revenue and Growth Rate (2015-2020)

Figure 35. Middle East and Africa Analytics as a Service Revenue and Growth Rate (2015-2020)

Figure 36. North America Analytics as a Service Revenue Market Share by Countries (2015-2020)

Figure 37. North America Analytics as a Service Revenue Market Share by Countries in 2019

Figure 38. USA Analytics as a Service Revenue and Growth Rate (2015-2020)

Figure 39. Canada Analytics as a Service Revenue and Growth Rate (2015-2020)

Figure 40. Mexico Analytics as a Service Revenue and Growth Rate (2015-2020)

Figure 41. Europe Analytics as a Service Revenue Market Share by Countries (2015-2020)

Figure 42. Europe Analytics as a Service Revenue Market Share by Countries in 2019

Figure 43. Germany Analytics as a Service Revenue and Growth Rate (2015-2020)

Figure 44. UK Analytics as a Service Revenue and Growth Rate (2015-2020)

Figure 45. France Analytics as a Service Revenue and Growth Rate (2015-2020)

Figure 46. Russia Analytics as a Service Revenue and Growth Rate (2015-2020)

Figure 47. Italy Analytics as a Service Revenue and Growth Rate (2015-2020)

Figure 48. Asia-Pacific Analytics as a Service Revenue Market Share by Countries (2015-2020)

Figure 49. Asia-Pacific Analytics as a Service Revenue Market Share by Countries in 2019

Figure 50. China Analytics as a Service Revenue and Growth Rate (2015-2020)

Figure 51. Japan Analytics as a Service Revenue and Growth Rate (2015-2020)

Figure 52. Korea Analytics as a Service Revenue and Growth Rate (2015-2020)

Figure 53. India Analytics as a Service Revenue and Growth Rate (2015-2020)

Figure 54. Southeast Asia Analytics as a Service Revenue and Growth Rate (2015-2020)

Figure 55. South America Analytics as a Service Revenue Market Share by Countries (2015-2020)

Figure 56. South America Analytics as a Service Revenue Market Share by Countries in 2019

Figure 57. Brazil Analytics as a Service Revenue and Growth Rate (2015-2020)

Figure 58. Argentina Analytics as a Service Revenue and Growth Rate (2015-2020)

Figure 59. Middle East and Africa Analytics as a Service Revenue Market Share by Countries (2015-2020)

Figure 60. Middle East and Africa Analytics as a Service Revenue Market Share by Countries in 2019

Figure 61. Saudi Arabia Analytics as a Service Revenue and Growth Rate (2015-2020)

Figure 62. UAE Analytics as a Service Revenue and Growth Rate (2015-2020)

Figure 63. Egypt Analytics as a Service Revenue and Growth Rate (2015-2020)

Figure 64. South Africa Analytics as a Service Revenue and Growth Rate (2015-2020)

Figure 65. Global Analytics as a Service Revenue Share by Type (2015-2020)

Figure 66. Global Analytics as a Service Revenue Share by Type in 2019

Figure 67. Global Analytics as a Service Market Share Forecast by Type (2021-2025)

Figure 68. Global Predictive Analytics Revenue Growth Rate (2015-2020)

Figure 69. Global Prescriptive Analytics Revenue Growth Rate (2015-2020)

Figure 70. Global Diagnostic Analytics Revenue Growth Rate (2015-2020)

Figure 71. Global Descriptive Analytics Revenue Growth Rate (2015-2020)

Figure 72. Global Analytics as a Service Revenue Share by Application (2015-2020)

Figure 73. Global Analytics as a Service Revenue Share by Application in 2019

Figure 74. Global Analytics as a Service Market Share Forecast by Application (2021-2025)

Figure 75. Global Banking, Financial Services and Insurance Revenue Growth Rate (2015-2020)

Figure 76. Global Retail and Wholesale Revenue Growth Rate (2015-2020)

Figure 77. Global Government Revenue Growth Rate (2015-2020)

Figure 78. Global Healthcare and Life Sciences Revenue Growth Rate (2015-2020)

Figure 79. Global Manufacturing Revenue Growth Rate (2015-2020)

Figure 80. Global Telecommunication and IT Revenue Growth Rate (2015-2020)

Figure 81. Global Energy and Utility Revenue Growth Rate (2015-2020)

Figure 82. Global Travel and Hospitality Revenue Growth Rate (2015-2020)

Figure 83. Global Transportation and Logistics Revenue Growth Rate (2015-2020)

Figure 84. Global Analytics as a Service Revenue (Million USD) and Growth Rate Forecast (2021-2025)

Figure 85. Global Analytics as a Service Revenue (Million USD) Forecast by Regions (2021-2025)

Figure 86. Global Analytics as a Service Revenue Market Share Forecast by Regions (2021-2025)

Figure 87. North America Analytics as a Service Revenue Market Forecast (2021-2025)

Figure 88. Europe Analytics as a Service Revenue Market Forecast (2021-2025)

Figure 89. Asia-Pacific Analytics as a Service Revenue Market Forecast (2021-2025)

Figure 90. South America Analytics as a Service Revenue Market Forecast (2021-2025)

Figure 91. Middle East and Africa Analytics as a Service Revenue Market Forecast (2021-2025)

Figure 92. 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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Testimonials

Hi John,
Thanks for the report. We've been going through it and see some good data on the market and players. –

Kennedy Brown
Health Technology Innovation
United States

Hi Rahul,
Thank You for the report it is good and beneficial for me.
Thank You in Advance

Mika Salomäki

Dear Siddhartha,
Thank you for your fast reply. The report arrived safe and sound, evrything looks all right.
Thank you very much for your assitance and I will be looking forward to another opportunity for cooperation.

ONDŘEJ ŠUPKA
Analytics Department
ČESKÁ ZBROJOVKA A.S.

Dear Siddhartha,
The report looks good, and we believe the material mix is more realistic now. It is good to know you report “Net” Manufacturing Selling Price, as that can make a difference in how we view the numbers. The reports were great and we appreciate your working with us.
Thanks for all your help!