The global geospatial analytics market is expected to rise 12.5% of CAGR, securing a valuation of US$ 34.5 Billion by 2032. The market is likely to be valued at US$ 10.6 Billion in 2022, driven by:
The global geospatial analytics market is likely to grow at a high pace by capturing a higher CAGR during the forecast period. The rising use of GPS devices and several technical data is lifting the demand for geospatial analytics during the forecast period. In addition, developing recent analytics such as vessel navigation and logistics management are growing the market share all around the globe. Track the location of the person, viewing optical satellite images, and do strategic operations are driving the market size in the foreseen time.
| Attribute | Details |
|---|---|
| Geospatial Analytics Market Estimated Size (2022) | US$ 10.6 Billion |
| Projected Market Valuation (2032) | US$ 34.5 Billion |
| Value-based CAGR% (2022 to 2032) | 12.5% |
| Top 5 Vendor Market Share | Around 35% |
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Europe region is likely to dominate the geospatial analytics market share by securing a higher share during the forecast period. Due to the growing geographic information system and innovating AI, advanced technology in the United Kingdom is flourishing in the market size in the region. The wide use of GIS is likely to enhance the productivity of the business in recent years. In addition, growing awareness regarding geospatial data fuels the market growth in the region during the forecast period. Moreover, the company's employees and marketing intelligence are monitoring real-time data to make well-informed decisions for the company in the region.
The North American region is followed by Europe and is expected to grow the fastest market growth of the rising adoption of geospatial analytics for growing smart cities. In addition, the USA is accelerating the higher market growth in the region by contributing towards the modern geospatial cloud. Moreover, it further uses for web services and data storage and permits substantial sharing during the forecast period. Furthermore, current geographic information, rising business value, and adoption by the organization are rising the demand for modern geospatial cloud during the forecast period. On the other hand, it is widely adopted by data scientists and software developers in the region.
Asia Pacific region is also propelling a significant geospatial analytics market share. India is likely to drive the demand for geospatial analytics due to rising GIS technology for the agriculture sector during the forecast period. This technology helps to generate dynamic agriculture and provides information related to crops at different stages. GIS also offers effective products in a good environment by managing and controlling farming easily with this technology in the region.
The market is fragmented by the number of key manufacturers presents globally during the forecast period. These key players are making marketing strategies to provide high-quality services to end users. Some of their basic tactics are mergers, partnerships, collaborations, and acquisitions, among others. Various start-ups and key companies are deployed modern options and offer scalable and secure services. Moreover, several key market players are innovating Esri ArcGIS technology with AI, with is one of the best combos in the market. It is one of the latest mapping analytics software, which is likely to drive all around the globe. Large enterprises are likely to prefer this technology due to provide better values for the company's growth.
The geospatial analytics market currently represents nearly 40% of the overall geographic information system (GIS) market. There has been a remarkable enhancement in artificial intelligence (AI) and machine learning (ML) abilities over the last few years to analyze GIS data. Artificial Intelligence and machine learning when integrated with geospatial data offer improved insights to organizations.
AI GIS (artificial intelligence geographic information system) is a combination of artificial intelligence technology and several GIS procedures, like spatial data analysis algorithms. AI GIS is becoming the main focus of geoscience research and applications in recent times. Thus, the growing utilization of artificial intelligence and machine learning in GIS solutions is driving the market.
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The geospatial analytics demand is expected to increase at 12.5% CAGR between 2022 and 2032 in comparison to the 10.2% CAGR registered between 2017 to 2021. With the help of technologically advanced 5G networks, geographic information system companies are offering both existing and unique data to the telecommunication industry.
The geospatial analysis offers physical information about landscapes and cities, it can also offer information on the weather, vegetation, and people. The 5G network data offers network designers and radio engineers a thorough knowledge of GIS factors. Technological advancements in 5G communication technology are creating opportunities for the geospatial analytics players.
Geospatial analytics solutions have become a platform for smart city development. A centralized information system based on GIS offers an IT infrastructure for installing and maintaining applications and data in every phase of the smart city development life cycle.
The interactive geographic information services permit the imaging of sensor maps and urban components. End-users can use mapping software to access static and dynamic data regarding urban systems together with updating the data.
Geodesign framework technology is being used in smart city projects and is utilized for designing, planning, and conceptualizing smart city projects. The framework assists each process of smart city infrastructure development, from site investigation to assessment and simulation.
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Geoanalytics or geospatial big data analytics is a developing technology in which big data technology takes out insights, meaning, and patterns from complicated geospatial datasets. The advancement of big data technology will augment the adoption of sensor technology and the Internet of Things (IoT).
More businesses are moving towards analytics technology to collect details from their day-to-day operations. Geoanalytics scales the investigation of big data by disclosing hidden patterns. For example, analytics can investigate everything from crime patterns to the spread of diseases.
The IoT in GIS is referred to the enhanced connectivity between physical devices over the internet with a spatial component. IoT in GIS enhances accuracy, efficiency, and economic advantages as it permits these objects to gather and exchange details with each other.
Esri offers GIS products such as the ArcGIS platform that offers real-time GIS capabilities. Real-time dashboards offer actionable views into the daily functions of organizations, empowering stakeholders and decision-makers with the latest details they require to drive future and current strategies and ideas. Thus, advancements in geospatial big data analytics and the usage of IoT are contributing to the growth in the market.
Increasing Awareness Regarding Geospatial Data Analysis in the United Kingdom Will Fuel Growth
As per the study, the United Kingdom is estimated to create an absolute $ opportunity of US$ 1.1 Billion by the end of 2032. The combined usage of geographic information systems and business intelligence is driving the market in the United Kingdom The integrated use of GIS and business intelligence is supporting businesses to enhance productivity and cut prices.
Applications that connect geographic information system and business intelligence permits companies to monitor employees, equipment, and asset, and to gather and interpret data in real-time to make well-informed decisions.
Rising Adoption of Geospatial Analytics in Smart Cities Will Boost Sales
The geospatial analytics demand in the USA is expected to account for around 72.3% of the North American market share by 2032. The emergence of modern geospatial clouds is contributing to the growth in the USA market.
Geospatial cloud uses web services, along with elastic computing and data storage abilities offered by cloud computing services to permit substantial sharing and integration of distributed georeferenced data.
This modern architecture is simpler to install and use and, hence it also increases adoption and business value. The geospatial cloud is letting current geographic information systems users and new adopters increase their value across their organizations, and it can be utilized by executives and fieldworkers data scientists, and software developers.
Growing Demand for Geospatial Analytics in the Agricultural Sector in India Will Spur Growth
Sales of geospatial analytics solutions in India are anticipated to grow at an impressive 17.0% CAGR over the forecast period. Increasing applications of GIS in the agriculture sector are driving demand in India.
Technological developments and geospatial technology help in generating competitive and dynamic agriculture which is preventive of the environment and effective in offering better products to the people. With the help of geographic information systems natural inputs in farming can be easily controlled and managed.
Adoption of Geospatial Analytics Solutions to Remain High
The solutions segment is expected to account for nearly 61.8% of the total market share by 2032. Geospatial analytics solutions support enterprises to analyze, localize, and act upon the transforming business trends and conditions. Many companies now have started to finance in geospatial analytics because of the agility and comprehensive operational efficiency offered by the solution.
It also helps in understanding business trends in the right way and lowers functional prices. These solutions are becoming important across organizations as they gather high-level information from location data.
Sales of Geospatial Analytics Across Large Enterprises to Remain High
Demand in the large enterprise segment is anticipated to grow by 2.8X during the forecast period. The adoption of cloud technologies results in more effective business performance and has generated demand for geospatial analytics in large enterprises.
Large enterprises are capable to gain a better understanding of their consumers and how they function with the support of GIS mapping software. Thus, all these benefits offered by geospatial analytics are driving sales in this segment.
Demand for Geospatial Analytics Across Government and Defense Sector Will Increase
Sales in the government and defense sectors are estimated to grow by 3.3X during the predicted period. Defense organizations are utilizing geographic information systems in various ways, comprising charting and mapping of all military operations and plans to make more well-informed decisions.
GIS can play an important role in defense estate management. One of the main advantages of geographic information system in the management of military bases is that it eases the management and maintenance of all stores on a base. Thus, the advantages offered by geospatial analytics are propelling demand in this segment.
Geospatial analytics market players are concentrating on strategic partnerships with other service providers to develop advanced geospatial analytics solutions. For instance:
| Attribute | Details |
|---|---|
| Estimated Market Size (2022) | US$ 10.6 Billion |
| Projected Market Valuation (2032) | US$ 34.5 Billion |
| Value-based CAGR (2022 to 2032) | 12.5% |
| Forecast Period | 2022 to 2032 |
| Historical Data Available for | 2017 to 2021 |
| Market Analysis | US$ Billion for Value |
| Key Regions Covered | North America; Latin America; Europe; East Asia; South Asia & Pacific; and the Middle East & Africa |
| Key Countries Covered | The USA, Canada, Germany, The United Kingdom, France, Italy, Spain, Russia, China, Japan, South Korea, India, Malaysia, Indonesia, Singapore, Australia & New Zealand, GCC Countries, Turkey, North Africa, and South Africa |
| Key Segments Covered | Component, Application, Deployment Mode, Enterprise Size, Industry, and Region |
| Key Companies Profiled | Alteryx; Trimble Inc.; Bentley Systems, Incorporated; CARTO; Descartes Labs, Inc.; Esri; Fugro; General Electric; Google; Deloitte; SAP; Oracle Corporation; Geospoc; Hexagon AB; Maxar Technologies; Precisely; Sparkgeo; Orbital Insight; PrecisionHawk |
| Report Coverage | Market Forecast, Company Share Analysis, Competition Intelligence, Drivers, Restraints, Opportunities and Threats Analysis, Market Dynamics and Challenges, and Strategic Growth Initiatives |
South Asia and the Pacific are projected to register strong growth in the market, exhibiting a CAGR of nearly 15.6% during the forecast period. However, North America was leading the global market with a share of around 23.3% in 2021.
Key trends in the market include: • Technological advancements in 5G communication technology are creating opportunities for the geospatial analytics market growth. • Emergence of modern geospatial cloud services is increasing the market demand.
Geocoding and reverse geocoding software segment is expected to dominate the market over the forecast period, generating maximum revenue, among all solutions, by the end of 2032.
The geospatial analytics market was valued at US$ 9.6 Billion in 2021 and is estimated to grow at a substantial pace with a CAGR of 12.5% to reach US$ 34.5 Billion in 2032.
The government and defense segment is expected to dominate the market over the forecast period, generating maximum revenue, among all industries, by the end of 2032.
The market in the last 5 years (2017 to 2021) grew by a CAGR of 10.2%.
The growing utilization of artificial intelligence and machine learning in GIS solutions is driving the market demand
The geospatial analytics industry in East Asia is estimated to grow at around 3.4X over the forecast period.
The global market growth between 2021 and 2022 is around 10.9%.
The top 5 countries driving demand for geospatial analytics include the USA, Germany, the United Kingdom, India, and Japan.
Europe is predicted to remain one of the most attractive markets during the forecast period, according to Future Market Insights. According to the study, the United Kingdom is expected to account for 26.5% of the Europe market in 2032.
The geospatial analytics market in South Korea and Japan has been valued at US$ 342.1 Million and US$ 495.8 Million in 2021, respectively, and is projected to register CAGR of around 9.8% and 14.6% respectively between 2022 and 2032.
Some of the leading companies in this landscape are Oracle Corporation, Alteryx, Esri, Deloitte, SAP, and Orbital Insight, among others. As per Future Market Insights, nearly 35% of the market share is currently covered by the top players.
1. Executive Summary | Geospatial Analytics Market 1.1. Global Market Outlook 1.2. Demand Side Trends 1.3. Supply Side Trends 1.4. Analysis and Recommendations 2. Market Overview 2.1. Market Coverage / Taxonomy 2.2. Market Definition / Scope / Limitations 3. Key Market Trends 3.1. Key Trends Impacting the Market 3.2. Solution Innovation / Development Trends 4. Pricing Analysis 4.1. Solution, Pricing Models 4.2. Global Average Pricing Analysis Benchmark 5. COVID-19 Impact Analysis 5.1. Impact of COVID-19 on Growth 5.2. Pre-COVID-19 Market Growth (2017 to 2019) 5.3. Expected Recovery Scenario (Short Term/Mid Term/Long Term) 5.4. Key Action Points for Vendors 6. Global Market Demand (in Value in US$ Billion) Analysis 2017 to 2021 and Forecast, 2022 to 2032 6.1. Historical Market Value (US$ Billion) Analysis, 2017 to 2021 6.2. Current and Future Market Value (US$ Billion) Projections, 2022 to 2032 6.2.1. Y-o-Y Growth Trend Analysis 6.2.2. Absolute $ Opportunity Analysis 7. Market Background 7.1. Macro-Economic Factors 7.2. Forecast Factors - Relevance & Impact 7.3. Value Chain 7.4. Market Dynamics 7.4.1. Drivers 7.4.2. Restraints 7.4.3. Opportunities 8. Global Market Analysis 2017 to 2021 and Forecast 2022 to 2032, by Component 8.1. Introduction / Key Findings 8.2. Historical Market Size (US$ Billion) Analysis By Component, 2017 to 2021 8.3. Current and Future Market Size (US$ Billion) Analysis and Forecast By Component, 2022 to 2032 8.3.1. Solutions 8.3.1.1. Geocoding and Reverse Geocoding Software 8.3.1.2. Geospatial Analysis Software 8.3.1.3. GIS Mapping Software 8.3.1.4. Others 8.3.2. Services 8.3.2.1. Consulting 8.3.2.2. Integration and Deployment 8.3.2.3. Support and Maintenance 8.4. Market Attractiveness Analysis By Component 9. Global Market Analysis 2017 to 2021 and Forecast 2022 to 2032, by Application 9.1. Introduction / Key Findings 9.2. Historical Market Size (US$ Billion) Analysis By Application, 2017 to 2021 9.3. Current and Future Market Size (US$ Billion) Analysis and Forecast By Application, 2022 to 2032 9.3.1. Surface and Field Analytics 9.3.2. Network and Location Analysis 9.3.3. Geovisualization 9.3.4. Others 9.4. Market Attractiveness Analysis By Application 10. Global Market Analysis 2017 to 2021 and Forecast 2022 to 2032, by Deployment Mode 10.1. Introduction / Key Findings 10.2. Historical Market Size (US$ Billion) Analysis By Deployment Mode, 2017 to 2021 10.3. Current and Future Market Size (US$ Billion) Analysis and Forecast By Deployment Mode, 2022 to 2032 10.3.1. Cloud 10.3.2. On-premises 10.4. Market Attractiveness Analysis By Deployment Mode 11. Global Market Analysis 2017 to 2021 and Forecast 2022 to 2032, by Enterprise Size 11.1. Introduction / Key Findings 11.2. Historical Market Size (US$ Billion) Analysis By Enterprise Size, 2017 to 2021 11.3. Current and Future Market Size (US$ Billion) Analysis and Forecast By Enterprise Size, 2022 to 2032 11.3.1. Large Enterprises 11.3.2. Small and Mid-Sized Enterprises (SMEs) 11.4. Market Attractiveness Analysis By Enterprise Size 12. Global Market Analysis 2017 to 2021 and Forecast 2022 to 2032, by Industry 12.1. Introduction / Key Findings 12.2. Historical Market Size (US$ Billion) Analysis By Industry, 2017 to 2021 12.3. Current and Future Market Size (US$ Billion) Analysis and Forecast By Industry, 2022 to 2032 12.3.1. Energy and Utilities 12.3.2. Government and Defense 12.3.3. Telecommunication Industry 12.3.4. Mining and Natural Resources 12.3.5. Automotive 12.3.6. Agriculture 12.3.7. Others 12.4. Market Attractiveness Analysis By Industry 13. Global Market Analysis 2017 to 2021 and Forecast 2022 to 2032, by Region 13.1. Introduction / Key Findings 13.2. Historical Market Size (US$ Billion) Analysis By Region, 2017 to 2021 13.3. Current and Future Market Size (US$ Billion) Analysis and Forecast By Region, 2022 to 2032 13.3.1. North America 13.3.2. Latin America 13.3.3. Europe 13.3.4. East Asia 13.3.5. South Asia & Pacific 13.3.6. Middle East & Africa 13.4. Market Attractiveness Analysis By Region 14. North America Market Analysis 2017 to 2021 and Forecast 2022 to 2032 14.1. Introduction 14.2. Historical Market Size (US$ Billion) Trend Analysis By Market Taxonomy, 2017 to 2021 14.3. Current and Future Market Size (US$ Billion) Forecast By Market Taxonomy, 2022 to 2032 14.3.1. By Component 14.3.2. By Application 14.3.3. By Deployment Mode 14.3.4. By Enterprise Size 14.3.5. By Industry 14.3.6. By Country 14.3.6.1. USA 14.3.6.2. Canada 14.4. Market Attractiveness Analysis 14.4.1. By Component 14.4.2. By Application 14.4.3. By Deployment Mode 14.4.4. By Enterprise Size 14.4.5. By Industry 14.4.6. By Country 14.5. Market Trends 14.6. Key Market Participants - Intensity Mapping 15. Latin America Market Analysis 2017 to 2021 and Forecast 2022 to 2032 15.1. Introduction 15.2. Historical Market Size (US$ Billion) Trend Analysis By Market Taxonomy, 2017 to 2021 15.3. Current and Future Market Size (US$ Billion) Forecast By Market Taxonomy, 2022 to 2032 15.3.1. By Component 15.3.2. By Application 15.3.3. By Deployment Mode 15.3.4. By Enterprise Size 15.3.5. By Industry 15.3.6. By Country 15.3.6.1. Brazil 15.3.6.2. Mexico 15.3.6.3. Rest of Latin America 15.4. Market Attractiveness Analysis 15.4.1. By Component 15.4.2. By Application 15.4.3. By Deployment Mode 15.4.4. By Enterprise Size 15.4.5. By Industry 15.4.6. By Country 15.5. Market Trends 15.6. Key Market Participants - Intensity Mapping 16. Europe Market Analysis 2017 to 2021 and Forecast 2022 to 2032 16.1. Introduction 16.2. Historical Market Size (US$ Billion) Trend Analysis By Market Taxonomy, 2017 to 2021 16.3. Current and Future Market Size (US$ Billion) Forecast By Market Taxonomy, 2022 to 2032 16.3.1. By Component 16.3.2. By Application 16.3.3. By Deployment Mode 16.3.4. By Enterprise Size 16.3.5. By Industry 16.3.6. By Country 16.3.6.1. Germany 16.3.6.2. Italy 16.3.6.3. France 16.3.6.4. United Kingdom 16.3.6.5. Spain 16.3.6.6. BENELUX 16.3.6.7. Russia 16.3.6.8. Rest of Europe 16.4. Market Attractiveness Analysis 16.4.1. By Component 16.4.2. By Application 16.4.3. By Deployment Mode 16.4.4. By Enterprise Size 16.4.5. By Industry 16.4.6. By Country 16.5. Market Trends 16.6. Key Market Participants - Intensity Mapping 17. South Asia & Pacific Market Analysis 2017 to 2021 and Forecast 2022 to 2032 17.1. Introduction 17.2. Historical Market Size (US$ Billion) Trend Analysis By Market Taxonomy, 2017 to 2021 17.3. Current and Future Market Size (US$ Billion) Forecast By Market Taxonomy, 2022 to 2032 17.3.1. By Component 17.3.2. By Application 17.3.3. By Deployment Mode 17.3.4. By Enterprise Size 17.3.5. By Industry 17.3.6. By Country 17.3.6.1. India 17.3.6.2. Indonesia 17.3.6.3. Malaysia 17.3.6.4. Singapore 17.3.6.5. Australia & New Zealand 17.3.6.6. Rest of South Asia and Pacific 17.4. Market Attractiveness Analysis 17.4.1. By Component 17.4.2. By Application 17.4.3. By Deployment Mode 17.4.4. By Enterprise Size 17.4.5. By Industry 17.4.6. By Country 17.5. Market Trends 17.6. Key Market Participants - Intensity Mapping 18. East Asia Market Analysis 2017 to 2021 and Forecast 2022 to 2032 18.1. Introduction 18.2. Historical Market Size (US$ Billion) Trend Analysis By Market Taxonomy, 2017 to 2021 18.3. Current and Future Market Size (US$ Billion) Forecast By Market Taxonomy, 2022 to 2032 18.3.1. By Component 18.3.2. By Application 18.3.3. By Deployment Mode 18.3.4. By Enterprise Size 18.3.5. By Industry 18.3.6. By Country 18.3.6.1. China 18.3.6.2. Japan 18.3.6.3. South Korea 18.4. Market Attractiveness Analysis 18.4.1. By Component 18.4.2. By Application 18.4.3. By Deployment Mode 18.4.4. By Enterprise Size 18.4.5. By Industry 18.4.6. By Country 18.5. Market Trends 18.6. Key Market Participants - Intensity Mapping 19. Middle East and Africa Market Analysis 2017 to 2021 and Forecast 2022 to 2032 19.1. Introduction 19.2. Historical Market Size (US$ Billion) Trend Analysis By Market Taxonomy, 2017 to 2021 19.3. Current and Future Market Size (US$ Billion) Forecast By Market Taxonomy, 2022 to 2032 19.3.1. By Component 19.3.2. By Application 19.3.3. By Deployment Mode 19.3.4. By Enterprise Size 19.3.5. By Industry 19.3.6. By Country 19.3.6.1. GCC Countries 19.3.6.2. Turkey 19.3.6.3. South Africa 19.3.6.4. Rest of Middle East and Africa 19.4. Market Attractiveness Analysis 19.4.1. By Component 19.4.2. By Application 19.4.3. By Deployment Mode 19.4.4. By Enterprise Size 19.4.5. By Industry 19.4.6. By Country 19.5. Market Trends 19.6. Key Market Participants - Intensity Mapping 20. Key Countries Analysis- Market 20.1. USA Market Analysis 20.1.1. By Component 20.1.2. By Application 20.1.3. By Deployment Mode 20.1.4. By Enterprise 20.1.5. By Industry 20.2. Canada Market Analysis 20.2.1. By Component 20.2.2. By Application 20.2.3. By Deployment Mode 20.2.4. By Enterprise Size 20.2.5. By Industry 20.3. Mexico Market Analysis 20.3.1. By Component 20.3.2. By Application 20.3.3. By Deployment Mode 20.3.4. By Enterprise Size 20.3.5. By Industry 20.4. Brazil Market Analysis 20.4.1. By Component 20.4.2. By Application 20.4.3. By Deployment Mode 20.4.4. By Enterprise Size 20.4.5. By Industry 20.5. Germany Market Analysis 20.5.1. By Component 20.5.2. By Application 20.5.3. By Deployment Mode 20.5.4. By Enterprise Size 20.5.5. By Industry 20.6. Italy Market Analysis 20.6.1. By Component 20.6.2. By Application 20.6.3. By Deployment Mode 20.6.4. By Enterprise Size 20.6.5. By Industry 20.7. France Market Analysis 20.7.1. By Component 20.7.2. By Application 20.7.3. By Deployment Mode 20.7.4. By Enterprise Size 20.7.5. By Industry 20.8. United Kingdom Market Analysis 20.8.1. By Component 20.8.2. By Application 20.8.3. By Deployment Mode 20.8.4. By Enterprise Size 20.8.5. By Industry 20.9. Spain Market Analysis 20.9.1. By Component 20.9.2. By Application 20.9.3. By Deployment Mode 20.9.4. By Enterprise Size 20.9.5. By Industry 20.10. BENELUX Market Analysis 20.10.1. By Component 20.10.2. By Application 20.10.3. By Deployment Mode 20.10.4. By Enterprise Size 20.10.5. By Industry 20.11. Russia Market Analysis 20.11.1. By Component 20.11.2. By Application 20.11.3. By Deployment Mode 20.11.4. By Enterprise Size 20.11.5. By Industry 20.12. Rest of Europe Market Analysis 20.12.1. By Component 20.12.2. By Application 20.12.3. By Deployment Mode 20.12.4. By Enterprise Size 20.12.5. By Industry 20.13. China Market Analysis 20.13.1. By Component 20.13.2. By Application 20.13.3. By Deployment Mode 20.13.4. By Enterprise Size 20.13.5. By Industry 20.14. Japan Market Analysis 20.14.1. By Component 20.14.2. By Application 20.14.3. By Deployment Mode 20.14.4. By Enterprise Size 20.14.5. By Industry 20.15. South Korea Market Analysis 20.15.1. By Component 20.15.2. By Application 20.15.3. By Deployment Mode 20.15.4. By Enterprise Size 20.15.5. By Industry 20.16. India Market Analysis 20.16.1. By Component 20.16.2. By Application 20.16.3. By Deployment Mode 20.16.4. By Enterprise Size 20.16.5. By Industry 20.17. Malaysia Market Analysis 20.17.1. By Component 20.17.2. By Application 20.17.3. By Deployment Mode 20.17.4. By Enterprise Size 20.17.5. By Industry 20.18. Indonesia Market Analysis 20.18.1. By Component 20.18.2. By Application 20.18.3. By Deployment Mode 20.18.4. By Enterprise Size 20.18.5. By Industry 20.19. Singapore Market Analysis 20.19.1. By Component 20.19.2. By Application 20.19.3. By Deployment Mode 20.19.4. By Enterprise Size 20.19.5. By Industry 20.20. Australia and New Zealand Market Analysis 20.20.1. By Component 20.20.2. By Application 20.20.3. By Deployment Mode 20.20.4. By Enterprise Size 20.20.5. By Industry 20.21. Rest of South Asia and Pacific Market Analysis 20.21.1. By Component 20.21.2. By Application 20.21.3. By Deployment Mode 20.21.4. By Enterprise Size 20.21.5. By Industry 20.22. GCC Countries Market Analysis 20.22.1. By Component 20.22.2. By Application 20.22.3. By Deployment Mode 20.22.4. By Enterprise Size 20.22.5. By Industry 20.23. Turkey Market Analysis 20.23.1. By Component 20.23.2. By Application 20.23.3. By Deployment Mode 20.23.4. By Enterprise Size 20.23.5. By Industry 20.24. South Africa Market Analysis 20.24.1. By Component 20.24.2. By Application 20.24.3. By Deployment Mode 20.24.4. By Enterprise Size 20.24.5. By Industry 20.25. Rest of the Middle East and Africa Market Analysis 20.25.1. By Component 20.25.2. By Application 20.25.3. By Deployment Mode 20.25.4. By Enterprise Size 20.25.5. By Industry 21. Market Structure Analysis 21.1. Market Analysis by Tier of Companies 21.2. Market Concentration 21.3. Market Share Analysis of Top Players 21.4. Market Presence Analysis 21.4.1. Regional Footprint by Players 21.4.2. Product Footprint by Players 22. Competition Analysis 22.1. Competition Dashboard 22.2. Key Strategies, By Competitors 22.3. Competition Deep Dive 22.3.1. Alteryx 22.3.1.1. Business Overview 22.3.1.2. Solution Portfolio 22.3.1.3. Profitability by Market Segments (Business Segments/Region) 22.3.1.4. SWOT Analysis 22.3.1.5. Strategy Overview 22.3.1.5.1. Marketing Strategy 22.3.1.5.2. Product Strategy 22.3.2. Bentley Systems 22.3.2.1. Business Overview 22.3.2.2. Solution Portfolio 22.3.2.3. Profitability by Market Segments (Business Segments/Region) 22.3.2.4. SWOT Analysis 22.3.2.5. Strategy Overview 22.3.2.5.1. Marketing Strategy 22.3.2.5.2. Product Strategy 22.3.3. Trimble Inc. 22.3.3.1. Business Overview 22.3.3.2. Solution Portfolio 22.3.3.3. Profitability by Market Segments (Business Segments/Region) 22.3.3.4. SWOT Analysis 22.3.3.5. Strategy Overview 22.3.3.5.1. Marketing Strategy 22.3.3.5.2. Product Strategy 22.3.4. CARTO 22.3.4.1. Business Overview 22.3.4.2. Solution Portfolio 22.3.4.3. Profitability by Market Segments (Business Segments/Region) 22.3.4.4. SWOT Analysis 22.3.4.5. Strategy Overview 22.3.4.5.1. Marketing Strategy 22.3.4.5.2. Product Strategy 22.3.5. Descartes Labs, Inc. 22.3.5.1. Business Overview 22.3.5.2. Solution Portfolio 22.3.5.3. Profitability by Market Segments (Business Segments/Region) 22.3.5.4. SWOT Analysis 22.3.5.5. Strategy Overview 22.3.5.5.1. Marketing Strategy 22.3.5.5.2. Product Strategy 22.3.6. Esri 22.3.6.1. Business Overview 22.3.6.2. Solution Portfolio 22.3.6.3. Profitability by Market Segments (Business Segments/Region) 22.3.6.4. SWOT Analysis 22.3.6.5. Strategy Overview 22.3.6.5.1. Marketing Strategy 22.3.6.5.2. Product Strategy 22.3.7. Fugro 22.3.7.1. Business Overview 22.3.7.2. Solution Portfolio 22.3.7.3. Profitability by Market Segments (Business Segments/Region) 22.3.7.4. SWOT Analysis 22.3.7.5. Strategy Overview 22.3.7.5.1. Marketing Strategy 22.3.7.5.2. Product Strategy 22.3.8. General Electric 22.3.8.1. Business Overview 22.3.8.2. Solution Portfolio 22.3.8.3. Profitability by Market Segments (Business Segments/Region) 22.3.8.4. SWOT Analysis 22.3.8.5. Strategy Overview 22.3.8.5.1. Marketing Strategy 22.3.8.5.2. Product Strategy 22.3.9. Google 22.3.9.1. Business Overview 22.3.9.2. Solution Portfolio 22.3.9.3. Profitability by Market Segments (Business Segments/Region) 22.3.9.4. SWOT Analysis 22.3.9.5. Strategy Overview 22.3.9.5.1. Marketing Strategy 22.3.9.5.2. Product Strategy 22.3.10. Deloitte 22.3.10.1. Business Overview 22.3.10.2. Solution Portfolio 22.3.10.3. Profitability by Market Segments (Business Segments/Region) 22.3.10.4. SWOT Analysis 22.3.10.5. Strategy Overview 22.3.10.5.1. Marketing Strategy 22.3.10.5.2. Product Strategy 22.3.11. SAP 22.3.11.1. Business Overview 22.3.11.2. Solution Portfolio 22.3.11.3. Profitability by Market Segments (Business Segments/Region) 22.3.11.4. SWOT Analysis 22.3.11.5. Strategy Overview 22.3.11.5.1. Marketing Strategy 22.3.11.5.2. Product Strategy 22.3.12. Oracle Corporation 22.3.12.1. Business Overview 22.3.12.2. Solution Portfolio 22.3.12.3. Profitability by Market Segments (Business Segments/Region) 22.3.12.4. SWOT Analysis 22.3.12.5. Strategy Overview 22.3.12.5.1. Marketing Strategy 22.3.12.5.2. Product Strategy 22.3.13. Geospoc 22.3.13.1. Business Overview 22.3.13.2. Solution Portfolio 22.3.13.3. Profitability by Market Segments (Business Segments/Region) 22.3.13.4. SWOT Analysis 22.3.13.5. Strategy Overview 22.3.13.5.1. Marketing Strategy 22.3.13.5.2. Product Strategy 22.3.14. Hexagon AB 22.3.14.1. Business Overview 22.3.14.2. Solution Portfolio 22.3.14.3. Profitability by Market Segments (Business Segments/Region) 22.3.14.4. SWOT Analysis 22.3.14.5. Strategy Overview 22.3.14.5.1. Marketing Strategy 22.3.14.5.2. Product Strategy 22.3.15. Maxar Technologies 22.3.15.1. Business Overview 22.3.15.2. Solution Portfolio 22.3.15.3. Profitability by Market Segments (Business Segments/Region) 22.3.15.4. SWOT Analysis 22.3.15.5. Strategy Overview 22.3.15.5.1. Marketing Strategy 22.3.15.5.2. Product Strategy 22.3.16. Precisely 22.3.16.1. Business Overview 22.3.16.2. Solution Portfolio 22.3.16.3. Profitability by Market Segments (Business Segments/Region) 22.3.16.4. SWOT Analysis 22.3.16.5. Strategy Overview 22.3.16.5.1. Marketing Strategy 22.3.16.5.2. Product Strategy 22.3.17. Sparkgeo 22.3.17.1. Business Overview 22.3.17.2. Solution Portfolio 22.3.17.3. Profitability by Market Segments (Business Segments/Region) 22.3.17.4. SWOT Analysis 22.3.17.5. Strategy Overview 22.3.17.5.1. Marketing Strategy 22.3.17.5.2. Product Strategy 22.3.18. Orbital Insight 22.3.18.1. Business Overview 22.3.18.2. Solution Portfolio 22.3.18.3. Profitability by Market Segments (Business Segments/Region) 22.3.18.4. SWOT Analysis 22.3.18.5. Strategy Overview 22.3.18.5.1. Marketing Strategy 22.3.18.5.2. Product Strategy 22.3.19. PrecisionHawk 22.3.19.1. Business Overview 22.3.19.2. Solution Portfolio 22.3.19.3. Profitability by Market Segments (Business Segments/Region) 22.3.19.4. SWOT Analysis 22.3.19.5. Strategy Overview 22.3.19.5.1. Marketing Strategy 22.3.19.5.2. Product Strategy 23. Assumptions and Acronyms Used 24. Research Methodology
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