INFORMATION & COMMUNICATION TECHNOLOGY
Africa GNSS Market - Industry Trends and Forecast to 2032
REPORT OVERVIEW
Africa GNSS (Global Navigation Satellite Systems) Market, By Component (Software, Hardware, and Services), Type (Global Constellations, Regional Constellations, and Satellite-based Augmentation), Application (Navigation, Aviation, Maritime, Mapping, Surveying, Telematics, Location Based Services (LBS), and Others), Country (Nigeria, South Africa, Kenya, Egypt, and Rest of Africa) – Industry Trends and Forecast to 2032.
Market Insights
The Africa GNSS (Global Navigation Satellite Systems) market size is valued to be USD xx million in 2023 and is expected to reach USD xx million by 2032, and it is expected to register a CAGR of xx% over the forecast period 2024-2032.
The GNSS (Global Navigation Satellite System) market is the industry segment that includes the development, manufacturing, distribution, and use of satellite-based navigation systems and services globally. GNSS technology uses a network of satellites circling the Earth to give accurate location, navigation, and timing information to users on land, in the air, and at sea.
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Market Dynamics
DRIVERS
- Increasing demand for location-based services
- Growth in smartphone and wearable device adoption
RESTRAINTS
- Signal interference and jamming
- Urban canyon effects
OPPORTUNITIES
- Advancements in GNSS technology
- Expansion of infrastructure and construction projects
CHALLENGES
- Vulnerability to cybersecurity threats
- Competition from alternative positioning technologies
SEGMENTATION
- Component
- Software
- Hardware
- Services
- Type
- Global Constellations
- Regional Constellations
- Satellite-based Augmentation
- Application
- Navigation
- Aviation
- Maritime
- Mapping
- Surveying
- Telematics
- Location Based Services (LBS)
- Others
REGIONAL SEGMENTATION
- Africa
- Nigeria
- South Africa
- Kenya
- Egypt
- Rest of Africa
KEY MARKET PLAYERS
- Trimble Inc.
- Topcon Positioning Systems
- Septentrio
- Leica Geosystems
- Spectracom
- Galileo Group
- NovAtel
- South Survey
- Thales Group
- Hemisphere GNSS
Table OF CONTENTS
- SECTION 1 - INTRODUCTION
- 1.1 Taxonomy
- 1.2 Market Overview
- 1.3 Currency and Limitations
- 1.3.1 Currency
- 1.3.2 Limitations
- 1.4 Key Competitors
- SECTION 2 - RESEARCH METHODOLOGY
- 2.1 Research Approach
- 2.2 Data Collection and Validation
- 2.2.1 Secondary Research
- 2.2.2 Primary Research
- 2.3 Market Assessment
- 2.3.1 Market Size Estimation
- 2.3.2 Bottom-up Approach
- 2.3.3 Top-down Approach
- 2.3.4 Growth Forecast
- 2.4 Market Study Assumptions
- 2.5 Data Sources
- SECTION 3 - EXECUTIVE SUMMARY
- 3.1 Africa GNSS (Global Navigation Satellite Systems) Market, by Component
- 3.2 Africa GNSS (Global Navigation Satellite Systems) Market, by Type
- 3.3 Africa GNSS (Global Navigation Satellite Systems) Market, by Application
- 3.4 Africa GNSS (Global Navigation Satellite Systems) Market, by Geography
- 3.5 Market Position Grid
- SECTION 4 - PREMIUM INSIGHTS
- 4.1 Regulatory Framework
- 4.1.1 Standards
- 4.1.2 Regulatory Landscape
- 4.2 Value Chain Analysis
- 4.3 Supply Chain Analysis
- 4.4 COVID-19 Impact
- 4.5 Russia-Ukraine War Impact
- 4.6 PORTER's Five Force Analysis
- 4.7 PESTLE Analysis
- 4.8 SWOT Analysis
- 4.9 Go to Market Strategy
- 4.10 Opportunity Orbit
- 4.11 Multivariate Modelling
- 4.12 Pricing Analysis
- SECTION 5 - MARKET DYNAMICS
- 5.1 Trends
- 5.1.1 Expansion of precision agriculture
- 5.1.2 Rise of autonomous vehicles
- 5.1.3 Trend 3
- 5.2 Drivers
- 5.2.1 Increasing demand for location-based services
- 5.2.2 Growth in smartphone and wearable device adoption
- 5.2.3 Driver 3
- 5.2.4 Driver 4
- 5.3 Restraints
- 5.3.1 Signal interference and jamming
- 5.3.2 Urban canyon effects
- 5.3.3 Restraint 3
- 5.4 Opportunities
- 5.4.1 Advancements in GNSS technology
- 5.4.2 Expansion of infrastructure and construction projects
- 5.4.3 Opportunity 3
- 5.4.4 Opportunity 4
- 5.5 Challenges
- 5.5.1 Vulnerability to cybersecurity threats
- 5.5.2 Competition from alternative positioning technologies
- 5.5.3 Challenge 3
- SECTION 6 - AFRICA GNSS (GLOBAL NAVIGATION SATELLITE SYSTEMS) MARKET, BY COMPONENT
- 6.1 Component Summary
- 6.2 Market Attractive Index
- 6.3 Africa GNSS (Global Navigation Satellite Systems) Market, by Component (2019-2032)
- SECTION 7 - AFRICA GNSS (GLOBAL NAVIGATION SATELLITE SYSTEMS) MARKET, BY TYPE
- 7.1 Type Summary
- 7.2 Market Attractive Index
- 7.3 Africa GNSS (Global Navigation Satellite Systems) Market, by Type (2019-2032)
- SECTION 8 - AFRICA GNSS (GLOBAL NAVIGATION SATELLITE SYSTEMS) MARKET, BY APPLICATION
- 8.1 Application Summary
- 8.2 Market Attractive Index
- 8.3 Africa GNSS (Global Navigation Satellite Systems) Market, by Application (2019-2032)
- SECTION 9 - AFRICA GNSS (GLOBAL NAVIGATION SATELLITE SYSTEMS) MARKET, BY REGION
- 9.1 Africa Summary
- 9.2 Market Attractive Index
- 9.3 Africa GNSS (Global Navigation Satellite Systems) Market, by Component (2019-2032)
- 9.4 Africa GNSS (Global Navigation Satellite Systems) Market, by Type (2019-2032)
- 9.5 Africa GNSS (Global Navigation Satellite Systems) Market, by Application (2019-2032)
- 9.6 Africa GNSS (Global Navigation Satellite Systems) Market, by Country (2019-2032)
- 9.6.1 Nigeria
- 9.6.2 South Africa
- 9.6.3 Kenya
- 9.6.4 Egypt
- 9.6.5 Rest of Africa
- SECTION 10 - COMPANY SHARE ANALYSIS
- 10.1 Africa GNSS (Global Navigation Satellite Systems) Market, Company Share Analysis
- SECTION 11 - COMPANY PROFILES
- 11.1 Trimble Inc.
- 11.1.1 Company Snapshot
- 11.1.2 Financial Overview
- 11.1.3 Product Portfolio
- 11.1.4 Recent Developments
- 11.2 Topcon Positioning Systems
- 11.2.1 Company Snapshot
- 11.2.2 Financial Overview
- 11.2.3 Product Portfolio
- 11.2.4 Recent Developments
- 11.3 Septentrio
- 11.3.1 Company Snapshot
- 11.3.2 Financial Overview
- 11.3.3 Product Portfolio
- 11.3.4 Recent Developments
- 11.4 Leica Geosystems
- 11.4.1 Company Snapshot
- 11.4.2 Financial Overview
- 11.4.3 Product Portfolio
- 11.4.4 Recent Developments
- 11.5 Spectracom
- 11.5.1 Company Snapshot
- 11.5.2 Financial Overview
- 11.5.3 Product Portfolio
- 11.5.4 Recent Developments
- 11.6 Galileo Group
- 11.6.1 Company Snapshot
- 11.6.2 Financial Overview
- 11.6.3 Product Portfolio
- 11.6.4 Recent Developments
- 11.7 NovAtel
- 11.7.1 Company Snapshot
- 11.7.2 Financial Overview
- 11.7.3 Product Portfolio
- 11.7.4 Recent Developments
- 11.8 South Survey
- 11.8.1 Company Snapshot
- 11.8.2 Financial Overview
- 11.8.3 Product Portfolio
- 11.8.4 Recent Developments
- 11.9 Thales Group
- 11.9.1 Company Snapshot
- 11.9.2 Financial Overview
- 11.9.3 Product Portfolio
- 11.9.4 Recent Developments
- 11.10 Hemisphere GNSS
- 11.10.1 Company Snapshot
- 11.10.2 Financial Overview
- 11.10.3 Product Portfolio
- 11.10.4 Recent Developments
- SECTION 12 - RELATED REPORTS
- SECTION 13 - DISCLAIMER
RESEARCH METHODOLOGY
The research methodology employed in Uniprism Market Research involves four basic steps namely research and data collection, data pre-processing, modeling and forecasting, quality assurance and output.
RESEARCH AND DATA COLLECTION
A tripod model research technique is followed for research and data collection in which various approaches such as primary research, secondary research, and product mapping are considered.
Primary research basically involves the process of conducting personalized interviews with market related professionals of major market players, investors, distributors, vendors and many more.
The secondary research include data published by government, annual reports, press releases, investor presentations of companies, white papers, certified publications, annual manufacturing limit of the respective industries related to the market, production consumption analysis of certain products respective to the market and many more.
Below mention are few of the sources which we have considered while estimating the market size:
For instance,
- Research articles published on Technium
- Science and MDPI
- Research publications by government approved associations and societies
Product mapping means the process of mapping the list of products that a key player contributes to the market as well as estimating the revenue of those products in order to define the Global Company share analysis of the respective Global Company in global, regional, and country level markets.
DATA PRE-PROCESSING
The term "data pre-processing" refers to the collection of procedures and methods used to clean, modify, and make ready for analysis the raw data gathered during research and data collection. The completion of this phase is necessary to guarantee that the data are reliable, consistent, and appropriate for statistical analysis and other data-driven tasks. The data pre-processing ensures that the information gathered from research and data collection is comparable and expressed in standard units, by the integration of missing data pointers and algorithmic approaches.
MODELING AND FORECASTING
The process of developing mathematical, statistical, or computational representations of real-world occurrences or relationships is known as modelling. These models are intended to replicate and explain market interactions, interdependence, and dynamics. These models are used by Uniprism Market Research to acquire a better knowledge of numerous market characteristics such as customer preferences, pricing elasticity, competition dynamics, and more. Depending on the individual study aims, many types of models are utilized, such as regression models, econometric models, decision tree models, and machine learning models.
Forecasting is the process of predicting future market conditions, trends, and occurrences using past data and models. Forecasting is used by Uniprism Market Research to estimate future sales, demand for products or services, market growth, and other important performance metrics. Forecasting accurately can assist organizations in making educated decisions about resource allocation, pricing, inventory management, and marketing tactics.
We create standardized bottom-up or top-down models that scale by leveraging data science and machine learning technology. All our market models consider the unique market characteristics of each country. Forecasting is based on major market indicators and a combination of traditional methodologies, such as exponential smoothing, time series analysis, regression analysis, and more modern techniques such as machine learning algorithms are all forecasting methodologies. The method chosen is determined on the nature of the data and the specific forecasting aims.
QUALITY ASSURANCE AND OUTPUT
Quality assurance and output involves the process of validation, adjustments, further publications of key market indicators. Extensive plausibility and consistency tests are performed on derived time series to ensure the high degree of quality of our market analysis. This quality assurance procedure also includes rigorous inspection, validation, and editing by an experienced management team to assure the dependability of the published data.