Global Smart Cities Market 2020 by Company, Regions, Type and Application, Forecast to 2025

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Market Overview

The global Smart Cities market size is expected to gain market growth in the forecast period of 2020 to 2025, with a CAGR of 10.0% in the forecast period of 2020 to 2025 and will expected to reach USD 434320 million by 2025, from USD 296820 million in 2019.

The Smart Cities 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

Smart Cities 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, Smart Cities market has been segmented into:

Solution

Services

By Application, Smart Cities has been segmented into:

Smart security

Smart infrastructure

Smart energy

Smart governance and smart education

Smart building

Smart healthcare

Smart mobility

Regions and Countries Level Analysis

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

The report offers in-depth assessment of the growth and other aspects of the Smart Cities 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 Smart Cities Market Share Analysis

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

The major players covered in Smart Cities are:

IBM

Hitachi

Oracle

Cisco

Ericsson

Microsoft

Toshiba

Siemens

Schneider Electric

Huawei

GE

HP

Google

Honeywell

Table of Contents

1 Smart Cities Market Overview

1.1 Product Overview and Scope of Smart Cities

1.2 Classification of Smart Cities by Type

1.2.1 Global Smart Cities Revenue by Type: 2015 VS 2019 VS 2025

1.2.2 Global Smart Cities Revenue Market Share by Type in 2019

1.2.3 Solution

1.2.4 Services

1.3 Global Smart Cities Market by Application

1.3.1 Overview: Global Smart Cities Revenue by Application: 2015 VS 2019 VS 2025

1.3.2 Smart security

1.3.3 Smart infrastructure

1.3.4 Smart energy

1.3.5 Smart governance and smart education

1.3.6 Smart building

1.3.7 Smart healthcare

1.3.8 Smart mobility

1.4 Global Smart Cities Market by Regions

1.4.1 Global Smart Cities Market Size by Regions: 2015 VS 2019 VS 2025

1.4.2 Global Market Size of Smart Cities (2015-2025)

1.4.3 North America (USA, Canada and Mexico) Smart Cities Status and Prospect (2015-2025)

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

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

1.4.6 South America (Brazil, Argentina, Colombia) Smart Cities Status and Prospect (2015-2025)

1.4.7 Middle East & Africa (Saudi Arabia, UAE, Egypt, Nigeria and South Africa) Smart Cities 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 Smart Cities Revenue, Gross Margin and Market Share (2018-2019)

2.2 Hitachi

2.2.1 Hitachi Details

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

2.2.3 Hitachi SWOT Analysis

2.2.4 Hitachi Product and Services

2.2.5 Hitachi Smart Cities Revenue, Gross Margin and Market Share (2018-2019)

2.3 Oracle

2.3.1 Oracle Details

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

2.3.3 Oracle SWOT Analysis

2.3.4 Oracle Product and Services

2.3.5 Oracle Smart Cities Revenue, Gross Margin and Market Share (2018-2019)

2.4 Cisco

2.4.1 Cisco Details

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

2.4.3 Cisco SWOT Analysis

2.4.4 Cisco Product and Services

2.4.5 Cisco Smart Cities Revenue, Gross Margin and Market Share (2018-2019)

2.5 Ericsson

2.5.1 Ericsson Details

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

2.5.3 Ericsson SWOT Analysis

2.5.4 Ericsson Product and Services

2.5.5 Ericsson Smart Cities Revenue, Gross Margin and Market Share (2018-2019)

2.6 Microsoft

2.6.1 Microsoft Details

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

2.6.3 Microsoft SWOT Analysis

2.6.4 Microsoft Product and Services

2.6.5 Microsoft Smart Cities Revenue, Gross Margin and Market Share (2018-2019)

2.7 Toshiba

2.7.1 Toshiba Details

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

2.7.3 Toshiba SWOT Analysis

2.7.4 Toshiba Product and Services

2.7.5 Toshiba Smart Cities Revenue, Gross Margin and Market Share (2018-2019)

2.8 Siemens

2.8.1 Siemens Details

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

2.8.3 Siemens SWOT Analysis

2.8.4 Siemens Product and Services

2.8.5 Siemens Smart Cities Revenue, Gross Margin and Market Share (2018-2019)

2.9 Schneider Electric

2.9.1 Schneider Electric Details

2.9.2 Schneider Electric Major Business and Total Revenue (Financial Highlights) Analysis

2.9.3 Schneider Electric SWOT Analysis

2.9.4 Schneider Electric Product and Services

2.9.5 Schneider Electric Smart Cities Revenue, Gross Margin and Market Share (2018-2019)

2.10 Huawei

2.10.1 Huawei Details

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

2.10.3 Huawei SWOT Analysis

2.10.4 Huawei Product and Services

2.10.5 Huawei Smart Cities Revenue, Gross Margin and Market Share (2018-2019)

2.11 GE

2.11.1 GE Details

2.11.2 GE Major Business and Total Revenue (Financial Highlights) Analysis

2.11.3 GE SWOT Analysis

2.11.4 GE Product and Services

2.11.5 GE Smart Cities Revenue, Gross Margin and Market Share (2018-2019)

2.12 HP

2.12.1 HP Details

2.12.2 HP Major Business and Total Revenue (Financial Highlights) Analysis

2.12.3 HP SWOT Analysis

2.12.4 HP Product and Services

2.12.5 HP Smart Cities Revenue, Gross Margin and Market Share (2018-2019)

2.13 Google

2.13.1 Google Details

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

2.13.3 Google SWOT Analysis

2.13.4 Google Product and Services

2.13.5 Google Smart Cities Revenue, Gross Margin and Market Share (2018-2019)

2.14 Honeywell

2.14.1 Honeywell Details

2.14.2 Honeywell Major Business and Total Revenue (Financial Highlights) Analysis

2.14.3 Honeywell SWOT Analysis

2.14.4 Honeywell Product and Services

2.14.5 Honeywell Smart Cities Revenue, Gross Margin and Market Share (2018-2019)

3 Market Competition, by Players

3.1 Global Smart Cities Revenue and Share by Players (2015-2020)

3.2 Market Concentration Rate

3.2.1 Top 5 Smart Cities Players Market Share

3.2.2 Top 10 Smart Cities Players Market Share

3.3 Market Competition Trend

4 Market Size by Regions

4.1 Global Smart Cities Revenue and Market Share by Regions

4.2 North America Smart Cities Revenue and Growth Rate (2015-2020)

4.3 Europe Smart Cities Revenue and Growth Rate (2015-2020)

4.4 Asia-Pacific Smart Cities Revenue and Growth Rate (2015-2020)

4.5 South America Smart Cities Revenue and Growth Rate (2015-2020)

4.6 Middle East & Africa Smart Cities Revenue and Growth Rate (2015-2020)

5 North America Smart Cities Revenue by Countries

5.1 North America Smart Cities Revenue by Countries (2015-2020)

5.2 USA Smart Cities Revenue and Growth Rate (2015-2020)

5.3 Canada Smart Cities Revenue and Growth Rate (2015-2020)

5.4 Mexico Smart Cities Revenue and Growth Rate (2015-2020)

6 Europe Smart Cities Revenue by Countries

6.1 Europe Smart Cities Revenue by Countries (2015-2020)

6.2 Germany Smart Cities Revenue and Growth Rate (2015-2020)

6.3 UK Smart Cities Revenue and Growth Rate (2015-2020)

6.4 France Smart Cities Revenue and Growth Rate (2015-2020)

6.5 Russia Smart Cities Revenue and Growth Rate (2015-2020)

6.6 Italy Smart Cities Revenue and Growth Rate (2015-2020)

7 Asia-Pacific Smart Cities Revenue by Countries

7.1 Asia-Pacific Smart Cities Revenue by Countries (2015-2020)

7.2 China Smart Cities Revenue and Growth Rate (2015-2020)

7.3 Japan Smart Cities Revenue and Growth Rate (2015-2020)

7.4 Korea Smart Cities Revenue and Growth Rate (2015-2020)

7.5 India Smart Cities Revenue and Growth Rate (2015-2020)

7.6 Southeast Asia Smart Cities Revenue and Growth Rate (2015-2020)

8 South America Smart Cities Revenue by Countries

8.1 South America Smart Cities Revenue by Countries (2015-2020)

8.2 Brazil Smart Cities Revenue and Growth Rate (2015-2020)

8.3 Argentina Smart Cities Revenue and Growth Rate (2015-2020)

9 Middle East & Africa Revenue Smart Cities by Countries

9.1 Middle East & Africa Smart Cities Revenue by Countries (2015-2020)

9.2 Saudi Arabia Smart Cities Revenue and Growth Rate (2015-2020)

9.3 UAE Smart Cities Revenue and Growth Rate (2015-2020)

9.4 Egypt Smart Cities Revenue and Growth Rate (2015-2020)

9.5 South Africa Smart Cities Revenue and Growth Rate (2015-2020)

10 Market Size Segment by Type

10.1 Global Smart Cities Revenue and Market Share by Type (2015-2020)

10.2 Global Smart Cities Market Forecast by Type (2019-2024)

10.3 Solution Revenue Growth Rate (2015-2025)

10.4 Services Revenue Growth Rate (2015-2025)

11 Global Smart Cities Market Segment by Application

11.1 Global Smart Cities Revenue Market Share by Application (2015-2020)

11.2 Smart Cities Market Forecast by Application (2019-2024)

11.3 Smart security Revenue Growth (2015-2020)

11.4 Smart infrastructure Revenue Growth (2015-2020)

11.5 Smart energy Revenue Growth (2015-2020)

11.6 Smart governance and smart education Revenue Growth (2015-2020)

11.7 Smart building Revenue Growth (2015-2020)

11.8 Smart healthcare Revenue Growth (2015-2020)

11.9 Smart mobility Revenue Growth (2015-2020)

12 Global Smart Cities Market Size Forecast (2021-2025)

12.1 Global Smart Cities Market Size Forecast (2021-2025)

12.2 Global Smart Cities Market Forecast by Regions (2021-2025)

12.3 North America Smart Cities Revenue Market Forecast (2021-2025)

12.4 Europe Smart Cities Revenue Market Forecast (2021-2025)

12.5 Asia-Pacific Smart Cities Revenue Market Forecast (2021-2025)

12.6 South America Smart Cities Revenue Market Forecast (2021-2025)

12.7 Middle East & Africa Smart Cities 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 Smart Cities Revenue (USD Million) by Type: 2015 VS 2019 VS 2025

Table 2. Breakdown of Smart Cities by Company Type (Tier 1, Tier 2 and Tier 3)

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

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

Table 5. IBM Corporate Information, Location and Competitors

Table 6. IBM Smart Cities Major Business

Table 7. IBM Smart Cities Total Revenue (USD Million) (2017-2018)

Table 8. IBM SWOT Analysis

Table 9. IBM Smart Cities Product and Solutions

Table 10. IBM Smart Cities Revenue (USD Million), Gross Margin and Market Share (2018-2019)

Table 11. Hitachi Corporate Information, Location and Competitors

Table 12. Hitachi Smart Cities Major Business

Table 13. Hitachi Smart Cities Total Revenue (USD Million) (2018-2019)

Table 14. Hitachi SWOT Analysis

Table 15. Hitachi Smart Cities Product and Solutions

Table 16. Hitachi Smart Cities Revenue (USD Million), Gross Margin and Market Share (2018-2019)

Table 17. Oracle Corporate Information, Location and Competitors

Table 18. Oracle Smart Cities Major Business

Table 19. Oracle Smart Cities Total Revenue (USD Million) (2017-2018)

Table 20. Oracle SWOT Analysis

Table 21. Oracle Smart Cities Product and Solutions

Table 22. Oracle Smart Cities Revenue (USD Million), Gross Margin and Market Share (2018-2019)

Table 23. Cisco Corporate Information, Location and Competitors

Table 24. Cisco Smart Cities Major Business

Table 25. Cisco Smart Cities Total Revenue (USD Million) (2017-2018)

Table 26. Cisco SWOT Analysis

Table 27. Cisco Smart Cities Product and Solutions

Table 28. Cisco Smart Cities Revenue (USD Million), Gross Margin and Market Share (2018-2019)

Table 29. Ericsson Corporate Information, Location and Competitors

Table 30. Ericsson Smart Cities Major Business

Table 31. Ericsson Smart Cities Total Revenue (USD Million) (2017-2018)

Table 32. Ericsson SWOT Analysis

Table 33. Ericsson Smart Cities Product and Solutions

Table 34. Ericsson Smart Cities Revenue (USD Million), Gross Margin and Market Share (2018-2019)

Table 35. Microsoft Corporate Information, Location and Competitors

Table 36. Microsoft Smart Cities Major Business

Table 37. Microsoft Smart Cities Total Revenue (USD Million) (2017-2018)

Table 38. Microsoft SWOT Analysis

Table 39. Microsoft Smart Cities Product and Solutions

Table 40. Microsoft Smart Cities Revenue (USD Million), Gross Margin and Market Share (2018-2019)

Table 41. Toshiba Corporate Information, Location and Competitors

Table 42. Toshiba Smart Cities Major Business

Table 43. Toshiba Smart Cities Total Revenue (USD Million) (2017-2018)

Table 44. Toshiba SWOT Analysis

Table 45. Toshiba Smart Cities Product and Solutions

Table 46. Toshiba Smart Cities Revenue (USD Million), Gross Margin and Market Share (2018-2019)

Table 47. Siemens Corporate Information, Location and Competitors

Table 48. Siemens Smart Cities Major Business

Table 49. Siemens Smart Cities Total Revenue (USD Million) (2017-2018)

Table 50. Siemens SWOT Analysis

Table 51. Siemens Smart Cities Product and Solutions

Table 52. Siemens Smart Cities Revenue (USD Million), Gross Margin and Market Share (2018-2019)

Table 53. Schneider Electric Corporate Information, Location and Competitors

Table 54. Schneider Electric Smart Cities Major Business

Table 55. Schneider Electric Smart Cities Total Revenue (USD Million) (2017-2018)

Table 56. Schneider Electric SWOT Analysis

Table 57. Schneider Electric Smart Cities Product and Solutions

Table 58. Schneider Electric Smart Cities Revenue (USD Million), Gross Margin and Market Share (2018-2019)

Table 59. Huawei Corporate Information, Location and Competitors

Table 60. Huawei Smart Cities Major Business

Table 61. Huawei Smart Cities Total Revenue (USD Million) (2017-2018)

Table 62. Huawei SWOT Analysis

Table 63. Huawei Smart Cities Product and Solutions

Table 64. Huawei Smart Cities Revenue (USD Million), Gross Margin and Market Share (2018-2019)

Table 65. GE Corporate Information, Location and Competitors

Table 66. GE Smart Cities Major Business

Table 67. GE Smart Cities Total Revenue (USD Million) (2017-2018)

Table 68. GE SWOT Analysis

Table 69. GE Smart Cities Product and Solutions

Table 70. GE Smart Cities Revenue (USD Million), Gross Margin and Market Share (2018-2019)

Table 71. HP Corporate Information, Location and Competitors

Table 72. HP Smart Cities Major Business

Table 73. HP Smart Cities Total Revenue (USD Million) (2017-2018)

Table 74. HP SWOT Analysis

Table 75. HP Smart Cities Product and Solutions

Table 76. HP Smart Cities Revenue (USD Million), Gross Margin and Market Share (2018-2019)

Table 77. Google Corporate Information, Location and Competitors

Table 78. Google Smart Cities Major Business

Table 79. Google Smart Cities Total Revenue (USD Million) (2017-2018)

Table 80. Google SWOT Analysis

Table 81. Google Smart Cities Product and Solutions

Table 82. Google Smart Cities Revenue (USD Million), Gross Margin and Market Share (2018-2019)

Table 83. Honeywell Corporate Information, Location and Competitors

Table 84. Honeywell Smart Cities Major Business

Table 85. Honeywell Smart Cities Total Revenue (USD Million) (2017-2018)

Table 86. Honeywell SWOT Analysis

Table 87. Honeywell Smart Cities Product and Solutions

Table 88. Honeywell Smart Cities Revenue (USD Million), Gross Margin and Market Share (2018-2019)

Table 89. Global Smart Cities Revenue (Million USD) by Players (2015-2020)

Table 90. Global Smart Cities Revenue Share by Players (2015-2020)

Table 91. Global Smart Cities Revenue (Million USD) by Regions (2015-2020)

Table 92. Global Smart Cities Revenue Market Share by Regions (2015-2020)

Table 93. North America Smart Cities Revenue by Countries (2015-2020)

Table 94. North America Smart Cities Revenue Market Share by Countries (2015-2020)

Table 95. Europe Smart Cities Revenue (Million USD) by Countries (2015-2020)

Table 96. Asia-Pacific Smart Cities Revenue (Million USD) by Countries (2015-2020)

Table 97. South America Smart Cities Revenue by Countries (2015-2020)

Table 98. South America Smart Cities Revenue Market Share by Countries (2015-2020)

Table 99. Middle East and Africa Smart Cities Revenue (Million USD) by Countries (2015-2020)

Table 100. Middle East and Africa Smart Cities Revenue Market Share by Countries (2015-2020)

Table 101. Global Smart Cities Revenue (Million USD) by Type (2015-2020)

Table 102. Global Smart Cities Revenue Share by Type (2015-2020)

Table 103. Global Smart Cities Revenue Forecast by Type (2021-2025)

Table 104. Global Smart Cities Revenue by Application (2015-2020)

Table 105. Global Smart Cities Revenue Share by Application (2015-2020)

Table 106. Global Smart Cities Revenue Forecast by Application (2021-2025)

Table 107. Global Smart Cities Revenue (Million USD) Forecast by Regions (2021-2025)

List of Figures

Figure 1. Smart Cities Picture

Figure 2. Global Smart Cities Revenue Market Share by Type in 2019

Figure 3. Solution Picture

Figure 4. Services Picture

Figure 5. Smart Cities Revenue Market Share by Application in 2019

Figure 6. Smart security Picture

Figure 7. Smart infrastructure Picture

Figure 8. Smart energy Picture

Figure 9. Smart governance and smart education Picture

Figure 10. Smart building Picture

Figure 11. Smart healthcare Picture

Figure 12. Smart mobility Picture

Figure 13. Global Smart Cities Revenue (USD Million) and Growth Rate (2015-2025)

Figure 14. North America Smart Cities Revenue (Million USD) and Growth Rate (2015-2025)

Figure 15. Europe Smart Cities Revenue (Million USD) and Growth Rate (2015-2025)

Figure 16. Asia-Pacific Smart Cities Revenue (Million USD) and Growth Rate (2015-2025)

Figure 17. South America Smart Cities Revenue (Million USD) and Growth Rate (2015-2025)

Figure 18. Middle East and Africa Smart Cities Revenue (Million USD) and Growth Rate (2015-2025)

Figure 19. Global Smart Cities Revenue (Million USD) and Growth Rate (2015-2025)

Figure 20. Global Smart Cities Revenue Share by Players in 2019

Figure 21. Global Top 5 Players Smart Cities Revenue Market Share in 2019

Figure 22. Global Top 10 Players Smart Cities Revenue Market Share in 2019

Figure 23. Key Players Market Share Trend

Figure 24. Global Smart Cities Revenue (Million USD) and Growth Rate (%) (2015-2020)

Figure 25. Global Smart Cities Revenue Market Share by Regions (2015-2020)

Figure 26. Global Smart Cities Revenue Market Share by Regions in 2018

Figure 27. North America Smart Cities Revenue and Growth Rate (2015-2020)

Figure 28. Europe Smart Cities Revenue and Growth Rate (2015-2020)

Figure 29. Asia-Pacific Smart Cities Revenue and Growth Rate (2015-2020)

Figure 30. South America Smart Cities Revenue and Growth Rate (2015-2020)

Figure 31. Middle East and Africa Smart Cities Revenue and Growth Rate (2015-2020)

Figure 32. North America Smart Cities Revenue Market Share by Countries (2015-2020)

Figure 33. North America Smart Cities Revenue Market Share by Countries in 2019

Figure 34. USA Smart Cities Revenue and Growth Rate (2015-2020)

Figure 35. Canada Smart Cities Revenue and Growth Rate (2015-2020)

Figure 36. Mexico Smart Cities Revenue and Growth Rate (2015-2020)

Figure 37. Europe Smart Cities Revenue Market Share by Countries (2015-2020)

Figure 38. Europe Smart Cities Revenue Market Share by Countries in 2019

Figure 39. Germany Smart Cities Revenue and Growth Rate (2015-2020)

Figure 40. UK Smart Cities Revenue and Growth Rate (2015-2020)

Figure 41. France Smart Cities Revenue and Growth Rate (2015-2020)

Figure 42. Russia Smart Cities Revenue and Growth Rate (2015-2020)

Figure 43. Italy Smart Cities Revenue and Growth Rate (2015-2020)

Figure 44. Asia-Pacific Smart Cities Revenue Market Share by Countries (2015-2020)

Figure 45. Asia-Pacific Smart Cities Revenue Market Share by Countries in 2019

Figure 46. China Smart Cities Revenue and Growth Rate (2015-2020)

Figure 47. Japan Smart Cities Revenue and Growth Rate (2015-2020)

Figure 48. Korea Smart Cities Revenue and Growth Rate (2015-2020)

Figure 49. India Smart Cities Revenue and Growth Rate (2015-2020)

Figure 50. Southeast Asia Smart Cities Revenue and Growth Rate (2015-2020)

Figure 51. South America Smart Cities Revenue Market Share by Countries (2015-2020)

Figure 52. South America Smart Cities Revenue Market Share by Countries in 2019

Figure 53. Brazil Smart Cities Revenue and Growth Rate (2015-2020)

Figure 54. Argentina Smart Cities Revenue and Growth Rate (2015-2020)

Figure 55. Middle East and Africa Smart Cities Revenue Market Share by Countries (2015-2020)

Figure 56. Middle East and Africa Smart Cities Revenue Market Share by Countries in 2019

Figure 57. Saudi Arabia Smart Cities Revenue and Growth Rate (2015-2020)

Figure 58. UAE Smart Cities Revenue and Growth Rate (2015-2020)

Figure 59. Egypt Smart Cities Revenue and Growth Rate (2015-2020)

Figure 60. South Africa Smart Cities Revenue and Growth Rate (2015-2020)

Figure 61. Global Smart Cities Revenue Share by Type (2015-2020)

Figure 62. Global Smart Cities Revenue Share by Type in 2019

Figure 63. Global Smart Cities Market Share Forecast by Type (2021-2025)

Figure 64. Global Solution Revenue Growth Rate (2015-2020)

Figure 65. Global Services Revenue Growth Rate (2015-2020)

Figure 66. Global Smart Cities Revenue Share by Application (2015-2020)

Figure 67. Global Smart Cities Revenue Share by Application in 2019

Figure 68. Global Smart Cities Market Share Forecast by Application (2021-2025)

Figure 69. Global Smart security Revenue Growth Rate (2015-2020)

Figure 70. Global Smart infrastructure Revenue Growth Rate (2015-2020)

Figure 71. Global Smart energy Revenue Growth Rate (2015-2020)

Figure 72. Global Smart governance and smart education Revenue Growth Rate (2015-2020)

Figure 73. Global Smart building Revenue Growth Rate (2015-2020)

Figure 74. Global Smart healthcare Revenue Growth Rate (2015-2020)

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

Figure 76. Global Smart Cities Revenue (Million USD) and Growth Rate Forecast (2021-2025)

Figure 77. Global Smart Cities Revenue (Million USD) Forecast by Regions (2021-2025)

Figure 78. Global Smart Cities Revenue Market Share Forecast by Regions (2021-2025)

Figure 79. North America Smart Cities Revenue Market Forecast (2021-2025)

Figure 80. Europe Smart Cities Revenue Market Forecast (2021-2025)

Figure 81. Asia-Pacific Smart Cities Revenue Market Forecast (2021-2025)

Figure 82. South America Smart Cities Revenue Market Forecast (2021-2025)

Figure 83. Middle East and Africa Smart Cities Revenue Market Forecast (2021-2025)

Figure 84. 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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