The location intelligence market share's net worth is predicted to reach from US$ 18.85 billion in 2023 to over US$ 81.74 billion by 2033. The market is expected to register a CAGR of 15.8% from 2023 to 2033.
Global organizations are adopting location intelligence as a result of digitalization, the Internet of Things (IoT), and a growing volume of business data. By leveraging Business Intelligence (BI) and analytics, companies can remain competitive, discover the latest consumer trends, and improve their existing analytics and business intelligence capabilities.
It is gaining traction in the Banking, Financial Services, and Insurance (BFSI) sector for effectively tracking fraud, flagging legitimate charges, and promoting special deals. For enhanced customer experiences at key venues like stadiums, resorts, and airports, way-finding alerts, rapid product delivery, and effective queue management are also provided.
Location intelligence has increasingly been used in charging points for Electric Vehicles (EVs), 5G networks, and drone analytics as a result of growing awareness of its benefits. Providing health clinic site selection and improving recruitment processes is expected to be in high demand in the education and training sector in the future.
The demand for location intelligence, however, is anticipated to eventually be hampered by a lack of awareness and cynicism over data security. A growing prevalence of cyberattacks, high implementation costs, and other operational challenges may also hinder the market growth during the forecast period.
Impact Factors for Location Intelligence Market
| Attributes | Details |
|---|---|
| Location Intelligence Market Value (2023) | US$ 18.85 billion |
| Location Intelligence Market Expected Value (2033) | US$ 81.74 billion |
| Location Intelligence Market Projected CAGR (2023 to 2033) | 15.8% |
Don't pay for what you don't need
Customize your report by selecting specific countries or regions and save 30%!
As per FMI, the Location Intelligence market is expected to reach over US$ 81.74 billion by 2033. In the first half of 2022, the global market increased at a CAGR of 16.45%, which is a market share of US$ 17.52 billion. Although not evenly distributed throughout all regions, this growth is stronger in developing markets, where it is predicted to reach US$ 18.85 billion by 2023 with a CAGR of 15.8%.
To enhance public health measures during the pandemic, healthcare and government institutions utilized location-based solutions. In addition, the utilization of location analytics also helped businesses deal with the uncertainty associated with the pandemic.
Overcrowding in hospitals and a shortage of ventilators, equipment, and other vital supplies have all plagued the health infrastructure sector since the pandemic. Location data play a crucial role in the administration of local emergency services. The use of location data has become a critical tool for overcoming these obstacles and optimizing resources in the healthcare sector.
| Historical CAGR | 16.45% |
|---|---|
| Historical Market Value (2022) | US$ 16.28 billion |
| Forecast CAGR | 15.8% |
More than 80% of the data in companies all across the world is location-based. In the same way that CRM-style analytics did a decade ago, location intelligence offers executives and enterprise users useful data that enables them to make important business decisions utilizing cutting-edge technology and analysis. Artificial Intelligence, Machine Learning, and predictive analytics are expected to boost the demand for location intelligence data. Digitization, investment in the development of IT infrastructure, and the adoption of advanced location intelligence technologies are other prospects that might benefit market growth.
For instance, the emergence of technologies such as Big Data and the Internet of Things (IoT) is expected to fuel the need for location intelligence solutions and services in various industries.
Digital twins of infrastructure, such as electrical grids, can give a comprehensive view of where connections are made, so that security analysts can predict where attacks may happen. Blockchain technology allows for decentralized data as well. It updates and distributes a specific block of data simultaneously in a secure encrypted environment.
Blockchain applications have become increasingly popular with the use of applications such as bitcoin. Blockchain is also used in the field of spatial technology to track remote earth observation and satellite communications.
Principal Consultant
Various business operations are becoming increasingly reliant on Location Intelligence (LI) due to the growing prevalence of Internet of Things (IoT) technology. Due to the similarities between smartphones and IoT devices, retailers can use advanced location intelligence data to gain an understanding of a particular region's demographics.
By mapping customer purchase patterns and customer time spent in the shop, retailers can enhance the customer experience and increase sales. By analyzing consumer behavior, such as visitation and purchase patterns, location-based advertising allows marketers to optimize sales.
IoT-driven smart shelves can also guide customers to locate a particular product, as well as provide real-time information to managers regarding a shortage. This further augments the market demand for location intelligence. Location intelligence also facilitates strategic store planning and inventory management.
By 2023, Sales & Marketing Optimization Applications may dominate the global market with a share of more than 19.5%. It is expected that the segment is expected to continue to dominate over the forecast period.
Based on applications, the industry has been segmented into asset management, facility management, workforce management, risk management, sales and marketing optimization, remote monitoring, customer management, and others.
A location intelligence tool reduces the complexity of marketing and sales by gathering enough relevant data for a marketing campaign and predicting its outcome. Location intelligence allows for continuous monitoring and management of inventory, energy consumption, and temperature at the facility.
Management can also monitor and trace the workforce in indoor and outdoor environments with location intelligence. Using location intelligence, companies can estimate maintenance cycles for assets, track employee activities, and manage staff remotely. As a consequence, location intelligence tools are expected to increase market demand by improving operational efficiency.
In terms of services, the global industry can be divided into consulting, system integration, and others. The system integration category segment dominated the industry and accounted for over 45% of the total revenue. As IoT penetration increases and location-based data becomes more prevalent, the segment is growing due to the need to integrate new data sources.
With location intelligence, system integrators help many industries collect information that can then be used to gain meaningful insights by integrating assets, business processes, and products. The system integrator also has expertise in understanding and working with both spatial and non-spatial data businesses, open data sources, and commercial data suppliers.
During the forecast period, consulting services are predicted to record a CAGR of 16%. In this service, several business use cases are identified and prioritized, where location intelligence can provide significant value to companies.
Location intelligence assists companies in collecting, analyzing, and examining relevant information, and offers more precise opinions to other organizations. A variety of end-use industries seek advice from IoT consulting and location intelligence firms on how to integrate location intelligence tools into their daily operations.
Get the data you need at a Fraction of the cost
Personalize your report by choosing insights you need
and save 40%!
In 2023, North America led the industry with more than 33.00% of total revenue. This is due to companies such as Bosch, Qualcomm, GE, HERE, Apple, and Google, which dominate the industry with their IoT and location intelligence products.
It is expected to grow steadily over the forecast period. It is also projected that the smartphone market in North America is expected to grow steadily at a steady rate, since smartphone penetration was around 80% in 2022.
The region not only quickly adopts new technologies, but also has a superb IT infrastructure with strong and exceptional connectivity. The two countries with the leading market shares, the United States and Canada, are the main users of location intelligence software both in this region and globally.
The location intelligence market in the United States has a very promising demand forecast, and growth is anticipated to continue over the next few years. This is due to several factors, including the increasing adoption of location-based technologies, the growing need for real-time data and insights, and the increasing importance of location data in various industries such as retail, healthcare, and logistics.
Location intelligence solutions provide valuable insights and analytics based on location data, allowing organizations to better understand their customers, target their marketing efforts more effectively, and improve operational efficiency. This has led to a growing demand for these solutions among United States businesses and government agencies.
In addition, advances in technology, such as the widespread availability of GPS-enabled devices, the growth of the Internet of Things (IoT), and the increasing use of location-based services, are driving the growth of the location intelligence market in the United States.
Several factors are driving the growth of the location intelligence market in Germany
As smartphone users grow, service providers increase, networking technologies are improved, and social media popularity increases, China is forecast to register the significant CAGR over the forecast period.
Businesses and service providers in China are introducing cutting-edge products and services to gain a foothold in developing markets. In China, governments and municipal corporations are analyzing information about asset locations to optimize their services and ease citizens' workloads to deliver a better standard of living.
Therefore, companies are turning to location intelligence tools to improve asset management and make operations more efficient, which is expected to increase the demand for location intelligence.
There are many start-ups in the location intelligence market, offering innovative solutions and services to businesses and government agencies. These start-ups are leveraging the latest technologies, such as artificial intelligence, machine learning, and cloud computing, to provide cutting-edge location intelligence solutions. Some examples of start-ups in the location intelligence market include:
These start-ups are at the forefront of innovation in the location intelligence market and are helping businesses and government agencies leverage the power of location data to make more informed decisions.
Location-tracking solutions can be used to track and monitor employees and their interactions within an organization. Location analytics can also be used to define spatial boundaries that restrict inter-team communication.
A company's inorganic growth strategies include partnerships, geographical expansion, and mergers & acquisitions to sustain its competitive position in the market. It also invests in research and development to create technologically advanced and differentiated tools to get ahead. To gain insight into past purchases, spending patterns, customer loyalty, and location information, companies invest in a variety of technologies.
Partnership & Agreements
Product Launches
| Attribute | Details |
|---|---|
| Forecast Period | 2023 to 2033 |
| Historical Data Available for | 2018 to 2023 |
| Market Analysis | US$ billion for Value and MT for Volume |
| Key Regions Covered | North America; Latin America; Europe; The Middle East and Africa; East Asia |
| Key Countries Covered | United States, Canada, Brazil, Mexico, Chile, Peru, Germany, United Kingdom, Spain, Italy, France, Russia, Poland, China, India, Japan, Australia, New Zealand, GCC Countries, North Africa, South Africa, and Türkiye |
| Key Segments Covered | Vertical, Application, Service, Region |
| Key Companies Profiled | Autodesk Inc.; Tibco Software Inc.; ESRI; MDA Corporation; Trueposition Inc.; Bosch Software Innovations GmbH; Qualcomm Technologies Inc.; Wireless Logic; HERE Technologies; Trimble Inc.; Supermap Software Co. Ltd.; Navizon Inc.; Pitney Bowes Inc. |
| Report Coverage | Market Forecast, Company Share Analysis, Competition Intelligence, DROT Analysis, Market Dynamics and Challenges, and Strategic Growth Initiatives |
| Customization & Pricing | Available upon Request |
The global market of location intelligence is projected to reach a valuation of US$ 81.74 billion by 2033.
North America is likely to be the most lucrative market for location intelligence, and is expected to dominate throughout the forecast period.
The global location intelligence market is projected to record a CAGR of 15.8%.
In 2023, the location intelligence market is expected to reach US$ 34.06 billion.
1. Executive Summary | Location Intelligence Market 1.1. Global Market Outlook 1.2. Demand-side Trends 1.3. Supply-side Trends 1.4. Technology Roadmap Analysis 1.5. Analysis and Recommendations 2. Market Overview 2.1. Market Coverage / Taxonomy 2.2. Market Definition / Scope / Limitations 3. Market Background 3.1. Market Dynamics 3.1.1. Drivers 3.1.2. Restraints 3.1.3. Opportunity 3.1.4. Trends 3.2. Scenario Forecast 3.2.1. Demand in Optimistic Scenario 3.2.2. Demand in Likely Scenario 3.2.3. Demand in Conservative Scenario 3.3. Opportunity Map Analysis 3.4. Investment Feasibility Matrix 3.5. PESTLE and Porter’s Analysis 3.6. Regulatory Landscape 3.6.1. By Key Regions 3.6.2. By Key Countries 3.7. Regional Parent Market Outlook 4. Global Market Analysis 2018 to 2022 and Forecast, 2023 to 2033 4.1. Historical Market Size Value (US$ Million) Analysis, 2018 to 2022 4.2. Current and Future Market Size Value (US$ Million) Projections, 2023 to 2033 4.2.1. Y-o-Y Growth Trend Analysis 4.2.2. Absolute $ Opportunity Analysis 5. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Component 5.1. Introduction / Key Findings 5.2. Historical Market Size Value (US$ Million) Analysis By Component, 2018 to 2022 5.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Component, 2023 to 2033 5.3.1. Software 5.3.2. Services 5.4. Y-o-Y Growth Trend Analysis By Component, 2018 to 2022 5.5. Absolute $ Opportunity Analysis By Component, 2023 to 2033 6. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Location Type 6.1. Introduction / Key Findings 6.2. Historical Market Size Value (US$ Million) Analysis By Location Type, 2018 to 2022 6.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Location Type, 2023 to 2033 6.3.1. Indoor 6.3.2. Outdoor 6.4. Y-o-Y Growth Trend Analysis By Location Type, 2018 to 2022 6.5. Absolute $ Opportunity Analysis By Location Type, 2023 to 2033 7. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Deployment Mode 7.1. Introduction / Key Findings 7.2. Historical Market Size Value (US$ Million) Analysis By Deployment Mode , 2018 to 2022 7.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Deployment Mode , 2023 to 2033 7.3.1. On-premise 7.3.2. Cloud 7.4. Y-o-Y Growth Trend Analysis By Deployment Mode , 2018 to 2022 7.5. Absolute $ Opportunity Analysis By Deployment Mode , 2023 to 2033 8. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Application 8.1. Introduction / Key Findings 8.2. Historical Market Size Value (US$ Million) Analysis By Application, 2018 to 2022 8.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Application, 2023 to 2033 8.3.1. Remote Monitoring 8.3.2. Sales & Marketing Optimization 8.3.3. Asset Management 8.3.4. Risk Management 8.3.5. Facility Management 8.3.6. Others 8.4. Y-o-Y Growth Trend Analysis By Application, 2018 to 2022 8.5. Absolute $ Opportunity Analysis By Application, 2023 to 2033 9. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By End-User 9.1. Introduction / Key Findings 9.2. Historical Market Size Value (US$ Million) Analysis By End-User, 2018 to 2022 9.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By End-User, 2023 to 2033 9.3.1. BFSI 9.3.2. Retail & Consumer Goods 9.3.3. Healthcare 9.3.4. Education 9.3.5. Government & defence 9.3.6. Transport & Logistic 9.3.7. IT & Telecom 9.3.8. Media & entertainment 9.3.9. Others 9.4. Y-o-Y Growth Trend Analysis By End-User, 2018 to 2022 9.5. Absolute $ Opportunity Analysis By End-User, 2023 to 2033 10. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Region 10.1. Introduction 10.2. Historical Market Size Value (US$ Million) Analysis By Region, 2018 to 2022 10.3. Current Market Size Value (US$ Million) Analysis and Forecast By Region, 2023 to 2033 10.3.1. North America 10.3.2. Latin America 10.3.3. Europe 10.3.4. South Asia 10.3.5. East Asia 10.3.6. Oceania 10.3.7. MEA 10.4. Market Attractiveness Analysis By Region 11. North America Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country 11.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022 11.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033 11.2.1. By Country 11.2.1.1. USA 11.2.1.2. Canada 11.2.2. By Component 11.2.3. By Location Type 11.2.4. By Deployment Mode 11.2.5. By Application 11.2.6. By End-User 11.3. Market Attractiveness Analysis 11.3.1. By Country 11.3.2. By Component 11.3.3. By Location Type 11.3.4. By Deployment Mode 11.3.5. By Application 11.3.6. By End-User 11.4. Key Takeaways 12. Latin America Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country 12.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022 12.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033 12.2.1. By Country 12.2.1.1. Brazil 12.2.1.2. Mexico 12.2.1.3. Rest of Latin America 12.2.2. By Component 12.2.3. By Location Type 12.2.4. By Deployment Mode 12.2.5. By Application 12.2.6. By End-User 12.3. Market Attractiveness Analysis 12.3.1. By Country 12.3.2. By Component 12.3.3. By Location Type 12.3.4. By Deployment Mode 12.3.5. By Application 12.3.6. By End-User 12.4. Key Takeaways 13. Europe Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country 13.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022 13.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033 13.2.1. By Country 13.2.1.1. Germany 13.2.1.2. United kingdom 13.2.1.3. France 13.2.1.4. Spain 13.2.1.5. Italy 13.2.1.6. Rest of Europe 13.2.2. By Component 13.2.3. By Location Type 13.2.4. By Deployment Mode 13.2.5. By Application 13.2.6. By End-User 13.3. Market Attractiveness Analysis 13.3.1. By Country 13.3.2. By Component 13.3.3. By Location Type 13.3.4. By Deployment Mode 13.3.5. By Application 13.3.6. By End-User 13.4. Key Takeaways 14. South Asia Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country 14.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022 14.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033 14.2.1. By Country 14.2.1.1. India 14.2.1.2. Malaysia 14.2.1.3. Singapore 14.2.1.4. Thailand 14.2.1.5. Rest of South Asia 14.2.2. By Component 14.2.3. By Location Type 14.2.4. By Deployment Mode 14.2.5. By Application 14.2.6. By End-User 14.3. Market Attractiveness Analysis 14.3.1. By Country 14.3.2. By Component 14.3.3. By Location Type 14.3.4. By Deployment Mode 14.3.5. By Application 14.3.6. By End-User 14.4. Key Takeaways 15. East Asia Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country 15.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022 15.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033 15.2.1. By Country 15.2.1.1. China 15.2.1.2. Japan 15.2.1.3. South Korea 15.2.2. By Component 15.2.3. By Location Type 15.2.4. By Deployment Mode 15.2.5. By Application 15.2.6. By End-User 15.3. Market Attractiveness Analysis 15.3.1. By Country 15.3.2. By Component 15.3.3. By Location Type 15.3.4. By Deployment Mode 15.3.5. By Application 15.3.6. By End-User 15.4. Key Takeaways 16. Oceania Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country 16.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022 16.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033 16.2.1. By Country 16.2.1.1. Australia 16.2.1.2. New Zealand 16.2.2. By Component 16.2.3. By Location Type 16.2.4. By Deployment Mode 16.2.5. By Application 16.2.6. By End-User 16.3. Market Attractiveness Analysis 16.3.1. By Country 16.3.2. By Component 16.3.3. By Location Type 16.3.4. By Deployment Mode 16.3.5. By Application 16.3.6. By End-User 16.4. Key Takeaways 17. MEA Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country 17.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022 17.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033 17.2.1. By Country 17.2.1.1. GCC Countries 17.2.1.2. South Africa 17.2.1.3. Israel 17.2.1.4. Rest of MEA 17.2.2. By Component 17.2.3. By Location Type 17.2.4. By Deployment Mode 17.2.5. By Application 17.2.6. By End-User 17.3. Market Attractiveness Analysis 17.3.1. By Country 17.3.2. By Component 17.3.3. By Location Type 17.3.4. By Deployment Mode 17.3.5. By Application 17.3.6. By End-User 17.4. Key Takeaways 18. Key Countries Market Analysis 18.1.USA 18.1.1. Pricing Analysis 18.1.2. Market Share Analysis, 2022 18.1.2.1. By Component 18.1.2.2. By Location Type 18.1.2.3. By Deployment Mode 18.1.2.4. By Application 18.1.2.5. By End-User 18.2. Canada 18.2.1. Pricing Analysis 18.2.2. Market Share Analysis, 2022 18.2.2.1. By Component 18.2.2.2. By Location Type 18.2.2.3. By Deployment Mode 18.2.2.4. By Application 18.2.2.5. By End-User 18.3. Brazil 18.3.1. Pricing Analysis 18.3.2. Market Share Analysis, 2022 18.3.2.1. By Component 18.3.2.2. By Location Type 18.3.2.3. By Deployment Mode 18.3.2.4. By Application 18.3.2.5. By End-User 18.4. Mexico 18.4.1. Pricing Analysis 18.4.2. Market Share Analysis, 2022 18.4.2.1. By Component 18.4.2.2. By Location Type 18.4.2.3. By Deployment Mode 18.4.2.4. By Application 18.4.2.5. By End-User 18.5. Germany 18.5.1. Pricing Analysis 18.5.2. Market Share Analysis, 2022 18.5.2.1. By Component 18.5.2.2. By Location Type 18.5.2.3. By Deployment Mode 18.5.2.4. By Application 18.5.2.5. By End-User 18.6. United kingdom 18.6.1. Pricing Analysis 18.6.2. Market Share Analysis, 2022 18.6.2.1. By Component 18.6.2.2. By Location Type 18.6.2.3. By Deployment Mode 18.6.2.4. By Application 18.6.2.5. By End-User 18.7. France 18.7.1. Pricing Analysis 18.7.2. Market Share Analysis, 2022 18.7.2.1. By Component 18.7.2.2. By Location Type 18.7.2.3. By Deployment Mode 18.7.2.4. By Application 18.7.2.5. By End-User 18.8. Spain 18.8.1. Pricing Analysis 18.8.2. Market Share Analysis, 2022 18.8.2.1. By Component 18.8.2.2. By Location Type 18.8.2.3. By Deployment Mode 18.8.2.4. By Application 18.8.2.5. By End-User 18.9. Italy 18.9.1. Pricing Analysis 18.9.2. Market Share Analysis, 2022 18.9.2.1. By Component 18.9.2.2. By Location Type 18.9.2.3. By Deployment Mode 18.9.2.4. By Application 18.9.2.5. By End-User 18.10. India 18.10.1. Pricing Analysis 18.10.2. Market Share Analysis, 2022 18.10.2.1. By Component 18.10.2.2. By Location Type 18.10.2.3. By Deployment Mode 18.10.2.4. By Application 18.10.2.5. By End-User 18.11. Malaysia 18.11.1. Pricing Analysis 18.11.2. Market Share Analysis, 2022 18.11.2.1. By Component 18.11.2.2. By Location Type 18.11.2.3. By Deployment Mode 18.11.2.4. By Application 18.11.2.5. By End-User 18.12. Singapore 18.12.1. Pricing Analysis 18.12.2. Market Share Analysis, 2022 18.12.2.1. By Component 18.12.2.2. By Location Type 18.12.2.3. By Deployment Mode 18.12.2.4. By Application 18.12.2.5. By End-User 18.13. Thailand 18.13.1. Pricing Analysis 18.13.2. Market Share Analysis, 2022 18.13.2.1. By Component 18.13.2.2. By Location Type 18.13.2.3. By Deployment Mode 18.13.2.4. By Application 18.13.2.5. By End-User 18.14. China 18.14.1. Pricing Analysis 18.14.2. Market Share Analysis, 2022 18.14.2.1. By Component 18.14.2.2. By Location Type 18.14.2.3. By Deployment Mode 18.14.2.4. By Application 18.14.2.5. By End-User 18.15. Japan 18.15.1. Pricing Analysis 18.15.2. Market Share Analysis, 2022 18.15.2.1. By Component 18.15.2.2. By Location Type 18.15.2.3. By Deployment Mode 18.15.2.4. By Application 18.15.2.5. By End-User 18.16. South Korea 18.16.1. Pricing Analysis 18.16.2. Market Share Analysis, 2022 18.16.2.1. By Component 18.16.2.2. By Location Type 18.16.2.3. By Deployment Mode 18.16.2.4. By Application 18.16.2.5. By End-User 18.17. Australia 18.17.1. Pricing Analysis 18.17.2. Market Share Analysis, 2022 18.17.2.1. By Component 18.17.2.2. By Location Type 18.17.2.3. By Deployment Mode 18.17.2.4. By Application 18.17.2.5. By End-User 18.18. New Zealand 18.18.1. Pricing Analysis 18.18.2. Market Share Analysis, 2022 18.18.2.1. By Component 18.18.2.2. By Location Type 18.18.2.3. By Deployment Mode 18.18.2.4. By Application 18.18.2.5. By End-User 18.19. GCC Countries 18.19.1. Pricing Analysis 18.19.2. Market Share Analysis, 2022 18.19.2.1. By Component 18.19.2.2. By Location Type 18.19.2.3. By Deployment Mode 18.19.2.4. By Application 18.19.2.5. By End-User 18.20. South Africa 18.20.1. Pricing Analysis 18.20.2. Market Share Analysis, 2022 18.20.2.1. By Component 18.20.2.2. By Location Type 18.20.2.3. By Deployment Mode 18.20.2.4. By Application 18.20.2.5. By End-User 18.21. Israel 18.21.1. Pricing Analysis 18.21.2. Market Share Analysis, 2022 18.21.2.1. By Component 18.21.2.2. By Location Type 18.21.2.3. By Deployment Mode 18.21.2.4. By Application 18.21.2.5. By End-User 19. Market Structure Analysis 19.1. Competition Dashboard 19.2. Competition Benchmarking 19.3. Market Share Analysis of Top Players 19.3.1. By Regional 19.3.2. By Component 19.3.3. By Location Type 19.3.4. By Deployment Mode 19.3.5. By Application 19.3.6. By End-User 20. Competition Analysis 20.1. Competition Deep Dive 20.1.1. ALTERYX 20.1.1.1. Overview 20.1.1.2. Product Portfolio 20.1.1.3. Profitability by Market Segments 20.1.1.4. Sales Footprint 20.1.1.5. Strategy Overview 20.1.1.5.1. Marketing Strategy 20.1.2. ESRI 20.1.2.1. Overview 20.1.2.2. Product Portfolio 20.1.2.3. Profitability by Market Segments 20.1.2.4. Sales Footprint 20.1.2.5. Strategy Overview 20.1.2.5.1. Marketing Strategy 20.1.3. GOOGLE LLC 20.1.3.1. Overview 20.1.3.2. Product Portfolio 20.1.3.3. Profitability by Market Segments 20.1.3.4. Sales Footprint 20.1.3.5. Strategy Overview 20.1.3.5.1. Marketing Strategy 20.1.4. HERE TECHNOLOGIES 20.1.4.1. Overview 20.1.4.2. Product Portfolio 20.1.4.3. Profitability by Market Segments 20.1.4.4. Sales Footprint 20.1.4.5. Strategy Overview 20.1.4.5.1. Marketing Strategy 20.1.5. HEXAGON 20.1.5.1. Overview 20.1.5.2. Product Portfolio 20.1.5.3. Profitability by Market Segments 20.1.5.4. Sales Footprint 20.1.5.5. Strategy Overview 20.1.5.5.1. Marketing Strategy 20.1.6. MICROSOFT CORPORATION 20.1.6.1. Overview 20.1.6.2. Product Portfolio 20.1.6.3. Profitability by Market Segments 20.1.6.4. Sales Footprint 20.1.6.5. Strategy Overview 20.1.6.5.1. Marketing Strategy 20.1.7. ORACLE CORPORATION 20.1.7.1. Overview 20.1.7.2. Product Portfolio 20.1.7.3. Profitability by Market Segments 20.1.7.4. Sales Footprint 20.1.7.5. Strategy Overview 20.1.7.5.1. Marketing Strategy 20.1.8. PITNEY BOWES 20.1.8.1. Overview 20.1.8.2. Product Portfolio 20.1.8.3. Profitability by Market Segments 20.1.8.4. Sales Footprint 20.1.8.5. Strategy Overview 20.1.8.5.1. Marketing Strategy 20.1.9. SISENSE INC 20.1.9.1. Overview 20.1.9.2. Product Portfolio 20.1.9.3. Profitability by Market Segments 20.1.9.4. Sales Footprint 20.1.9.5. Strategy Overview 20.1.9.5.1. Marketing Strategy 20.1.10. SYNCSORT 20.1.10.1. Overview 20.1.10.2. Product Portfolio 20.1.10.3. Profitability by Market Segments 20.1.10.4. Sales Footprint 20.1.10.5. Strategy Overview 20.1.10.5.1. Marketing Strategy 21. Assumptions & Acronyms Used 22. Research Methodology
Explore Technology Insights
View Reports
Location Intelligence Market
