| Product Code: ETC13365953 | Publication Date: Apr 2025 | Updated Date: Aug 2026 | Product Type: Market Research Report | |
| Publisher: 6Wresearch | Author: Shubham Deep | No. of Pages: 190 | No. of Figures: 80 | No. of Tables: 40 |
| Market Size (2025) | USD 16.2 Billion |
| Forecast Size (2032) | USD 29.8 Billion |
| CAGR | 8.80% |
| Base Year | 2025 |
| Forecast Period | 2026-2032 |
| Largest Region | North America |
| Fastest Growing Region | Asia |
| Largest Segment | Precision Farming |
| Fastest Growing Segment | Smart Irrigation Systems |
| Leading Companies | Trimble Inc., AG Leader Technology, John Deere, BASF SE, Koenigsegg Automotive AB |

The Global Smart Agriculture Solutions Market was estimated at USD 16.2 Billion in 2025 and is projected to reach USD 29.8 Billion by 2032, growing at a CAGR of 8.80% from 2026 to 2032.
The Global Smart Agriculture Solutions Market is currently witnessing a paradigm shift as agricultural practices evolve to meet new efficiency and productivity challenges. This transformation is deeply influenced by the integration of technologies that allow for precise monitoring and management of agricultural resources. As traditional farming methods face limitations, smart agriculture presents an innovative approach for sustainable food production.
A surge in global food security concerns, coupled with the pressures of a rapidly increasing population, emphasizes the necessity for smarter agricultural practices. This sector stands apart from adjacent markets due to the multifaceted nature of its solutions, which incorporate IoT, AI, and advanced analytics directly into farming operations, enhancing decision-making processes and operational efficiency.
This graph illustrates the annual growth rates of the Global Smart Agriculture Solutions Market from 2022 to 2032, highlighting a steady upward trajectory and projected expansion over the forecast period.

The table below presents the year‑wise growth rates along with the key drivers influencing the market
| Year | Growth Rate (%) | Major Drivers |
| 2022 | 10.42 | Regional agricultural cooperatives are establishing Smart Agriculture Solutions to enhance productivity. |
| 2023 | 7.55 | A shift toward integrating technology in supply chain dynamics optimizes agricultural efficiency. |
| 2024 | 8.74 | Growing investment in precision farming technologies enhances soil health management strategies. |
| 2025 | 10.15 | As consumers shift preferences toward organic produce, farmers adopt Smart Agriculture Solutions. |
| 2026 | 8.14 | Soil health management tools are increasingly adopted by agronomists to improve crop yield. |
| 2027 | 9.55 | Farmers are integrating innovative seed technology to achieve better crop resilience and yield. |
| 2028 | 10.49 | In urban areas, competitive pressures are driving the adoption of smart irrigation infrastructure. |
| 2029 | 6.1 | Commercial farmers face rising input costs, prompting a shift toward precision farming solutions. |
| 2030 | 10.75 | A market need for enhanced sustainability leads to increased investment in climate-resilient crops. |
| 2031 | 9.03 | Blockchain technology is facilitating supply chain traceability for Smart Agriculture Solutions across regions. |
| 2032 | 9.68 | While sustainability becomes a priority, Smart Agriculture Solutions are advancing eco-friendly practices. |
Note - Market size estimations and growth projections presented in this report are based on 6Wresearch's proprietary research methodology, combining internal industry data, secondary research, and primary validation, updated periodically to reflect current market conditions. As markets evolve rapidly, figures for certain industries may vary slightly and are intended as informed estimates rather than absolute figures. For the most current market sizing, we recommend validating figures with a 6Wresearch analyst.
Below are some of the specific key takeaways from the market, including:
Despite its growth prospects, the Global Smart Agriculture Solutions Market confronts several significant challenges. High initial investment costs remain a primary barrier to entry for many smallholder farmers, often exceeding USD 25,000 for advanced systems. For example, many remote farms lack access to reliable internet services, which impedes the effective implementation of IoT technologies and data-driven solutions. The skills gap in the agricultural workforce further complicates the adoption of smart solutions, with many potential users lacking the necessary training to operate advanced equipment.
One prominent trend reshaping smart agriculture is the rise of precision farming techniques, which utilize data analytics to inform decision-making. Companies like AG Leader Technology have demonstrated how real-time insights can enhance yield predictions, exemplifying a market shift towards more data-informed agriculture. Another trend involves the incorporation of drones and sensors, facilitating more efficient crop monitoring while reducing labor costs significantly.
Moreover, the use of satellite imagery has become increasingly integral, offering comprehensive insights into land usage patterns and crop health. Notably, a partnership between NASA and various agritech firms aims to create a network of satellite monitoring systems aimed at optimizing crop management over the next five years. These evolving technologies redefine operational practices across the sector, leading to improved productivity and sustainability.
Several future revenue opportunities are emerging within the smart agriculture space. The expansion of smart irrigation systems represents a particularly promising avenue, with a projected market size of USD 2.5 Billion by 2030 as farmers seek ways to reduce water usage due to escalating resource scarcity. Initiatives like The Alliance for Water Stewardship aim to promote sustainable water practices, aligning with broader environmental goals.
Additionally, advancements in agri-robotics are poised for rapid growth, with various companies targeting a CAGR of 13% from 2026-2032. For instance, innovative solutions in robotic harvesting technology are being developed in collaboration with agricultural universities, emphasizing the role of research in driving commercialization. These evolving opportunities indicate that the market is not just responding to current demands, but is fully preparing for future challenges in agriculture.
Precision Farming is the largest segment of the Global Smart Agriculture Solutions Market, accounting for approximately 45% share in 2025. Its dominance can be attributed to the ability of these techniques to optimize resource usage and increase yields effectively. Conversely, Smart Irrigation Systems is projected to experience the fastest growth, with a CAGR of 11.5% from 2026 to 2032, driven by heightened efficiency demands and regulatory support for water conservation methods. This emphasis on intelligent irrigation not only improves agricultural outcomes but also aligns with sustainable practices, further enhancing its appeal.
IoT-Based connectivity solutions lead the market, representing a substantial share of approximately 50% in 2025. This preference stems from the seamless integration of IoT devices that enhance remote monitoring capabilities across farm operations. Meanwhile, 4G/5G Connected solutions are anticipated to grow the fastest, with a CAGR of 12% from 2026 to 2032. The transition towards faster connectivity is essential as it supports real-time data transmission, enabling quicker decision-making processes for farmers, ultimately driving sector-wide innovation.
Crop Monitoring leads this segment, holding an estimated 40% share in 2025. This prominence can be linked to the critical need for farmers to gain insights into crop health and optimize yield outcomes effectively. On the other hand, Livestock Monitoring is expected to see the fastest growth, forecasted at a CAGR of 10% from 2026 to 2032. The increasing focus on livestock health management presents significant opportunities for technology integration, driving advancements that meet specific industry demands.
AI-Powered Analytics is the leading technology in the Global Smart Agriculture Solutions Market, accounting for around 35% of the market share in 2025. The reason for this leadership lies in its ability to provide accurate forecasts and enhance decision-making efficiency for farmers. However, Cloud-Enabled Sensors are set to experience the fastest growth, projected at a CAGR of 12.5% from 2026 to 2032, driven by their flexibility and capability to offer real-time data from various agricultural sites, enhancing operational responsiveness significantly.
Farmers & Growers represent the largest end-user segment, commanding approximately 52% share in 2025. This is largely due to the direct application and immediate benefits realized from smart agriculture solutions. Conversely, Agricultural Enterprises are experiencing the fastest growth, with a CAGR of 10% from 2026 to 2032. The shift towards more formalized and industrialized agricultural practices within enterprises emphasizes the necessity for integrated technology solutions, which meeting larger operational demands directly leads to increased market engagement.
North America holds the largest share of the Global Smart Agriculture Solutions Market at approximately 42% in 2025, primarily due to its advanced agricultural infrastructure and high technology adoption. In contrast, Asia is projected to be the fastest-growing region, with an expected CAGR of 10.5% from 2026 to 2032. This growth is fueled by increasing investments in agricultural technology, largely driven by government initiatives to boost food security and enhance farming techniques across diverse agricultural sectors.
Government support plays a pivotal role in the evolution of the Global Smart Agriculture Solutions Market, with various initiatives aimed at fostering technology adoption and enhancing productivity. Legislatures are actively facilitating collaborations between private innovators and public stakeholders to build a robust agricultural ecosystem that harnesses advanced technologies.
As the Global Smart Agriculture Solutions Market evolves, a noticeable emphasis on agri-tech innovations is anticipated. By 2032, the integration of AI-powered analytics will not only enhance precision in crop management but reshape operational workflows within farms. Notably, USDA’s recent collaboration with several tech startups is expected to streamline resource optimization, aligning with the heightened global attention on sustainable farming methods. This pivot towards technology-driven practices signals a transformation that will drive future investments and competitive strategies across the sector.
Recent developments within the Global Smart Agriculture Solutions Market highlight critical advancements that companies are implementing to bolster their market positions and enhance operational efficiencies.
The competitive structure of the Global Smart Agriculture Solutions Market is somewhat fragmented, with numerous players focusing on specialized solutions tailored to diverse agricultural needs. This fragmentation offers opportunities for both established companies and new entrants to innovate and carve out market share. Leading companies leverage technological advancements to improve operational efficiencies and address unique regional challenges, enhancing their competitive standing.
| Leading Company | Core Strength | Strategic Focus |
|---|---|---|
| Trimble Inc. | Expertise in integrated precision farming technology. | Expansion of product offerings through strategic acquisitions. |
| AG Leader Technology | Strong focus on data-driven agriculture. | Enhancing solutions for real-time data analytics. |
| John Deere | Leadership in agricultural machinery with advanced smart solutions. | Partnerships to integrate IoT into farming operations. |
| BASF SE | Pioneering sustainable agricultural practices. | Investment in water-conserving irrigation technologies. |
| Koenigsegg Automotive AB | Expertise in cutting-edge technology. | Focusing on robotics and automation in agriculture. |
As companies target specific niches within smart agriculture, the competitive landscape is likely to witness significant shifts driven by technological advancements and collaborative efforts aimed at improving agricultural sustainability.
Global Smart Agriculture Solutions Market |
1 Executive Summary |
2 Introduction |
2.1 Key Highlights of the Report |
2.2 Report Description |
2.3 Market Scope & Segmentation |
2.4 Research Methodology |
2.5 Assumptions |
3 Global Smart Agriculture Solutions Market Overview |
3.1 Global Regional Macro Economic Indicators |
3.2 Global Smart Agriculture Solutions Market Revenues & Volume, 2022 & 2032F |
3.3 Global Smart Agriculture Solutions Market - Industry Life Cycle |
3.4 Global Smart Agriculture Solutions Market - Porter's Five Forces |
3.5 Global Smart Agriculture Solutions Market Revenues & Volume Share, By Regions, 2022 & 2032F |
3.6 Global Smart Agriculture Solutions Market Revenues & Volume Share, By Solution Type, 2022 & 2032F |
3.7 Global Smart Agriculture Solutions Market Revenues & Volume Share, By Connectivity, 2022 & 2032F |
3.8 Global Smart Agriculture Solutions Market Revenues & Volume Share, By Application, 2022 & 2032F |
3.9 Global Smart Agriculture Solutions Market Revenues & Volume Share, By Technology, 2022 & 2032F |
3.10 Global Smart Agriculture Solutions Market Revenues & Volume Share, By End User, 2022 & 2032F |
4 Global Smart Agriculture Solutions Market Dynamics |
4.1 Impact Analysis |
4.2 Market Drivers |
4.3 Market Restraints |
5 Global Smart Agriculture Solutions Market Trends |
6 Global Smart Agriculture Solutions Market, 2022-2032 |
6.1 Global Smart Agriculture Solutions Market, Revenues & Volume, By Solution Type, 2022-2032 |
6.1.1 Overview & Analysis |
6.1.2 Global Smart Agriculture Solutions Market, Revenues & Volume, By Precision Farming, 2022-2032 |
6.1.3 Global Smart Agriculture Solutions Market, Revenues & Volume, By Smart Irrigation Systems, 2022-2032 |
6.1.4 Global Smart Agriculture Solutions Market, Revenues & Volume, By Automated Farm Equipment, 2022-2032 |
6.1.5 Global Smart Agriculture Solutions Market, Revenues & Volume, By Agri-Drones, 2022-2032 |
6.1.6 Global Smart Agriculture Solutions Market, Revenues & Volume, By Agri-Robotics, 2022-2032 |
6.2 Global Smart Agriculture Solutions Market, Revenues & Volume, By Connectivity, 2022-2032 |
6.2.1 Overview & Analysis |
6.2.2 Global Smart Agriculture Solutions Market, Revenues & Volume, By IoT-Based, 2022-2032 |
6.2.3 Global Smart Agriculture Solutions Market, Revenues & Volume, By Satellite-Based, 2022-2032 |
6.2.4 Global Smart Agriculture Solutions Market, Revenues & Volume, By 4G/5G Connected, 2022-2032 |
6.2.5 Global Smart Agriculture Solutions Market, Revenues & Volume, By LoRaWAN, 2022-2032 |
6.2.6 Global Smart Agriculture Solutions Market, Revenues & Volume, By Bluetooth & Wi-Fi, 2022-2032 |
6.3 Global Smart Agriculture Solutions Market, Revenues & Volume, By Application, 2022-2032 |
6.3.1 Overview & Analysis |
6.3.2 Global Smart Agriculture Solutions Market, Revenues & Volume, By Crop Monitoring, 2022-2032 |
6.3.3 Global Smart Agriculture Solutions Market, Revenues & Volume, By Greenhouse Automation, 2022-2032 |
6.3.4 Global Smart Agriculture Solutions Market, Revenues & Volume, By Livestock Monitoring, 2022-2032 |
6.3.5 Global Smart Agriculture Solutions Market, Revenues & Volume, By Soil Health Management, 2022-2032 |
6.3.6 Global Smart Agriculture Solutions Market, Revenues & Volume, By Vertical Farming, 2022-2032 |
6.4 Global Smart Agriculture Solutions Market, Revenues & Volume, By Technology, 2022-2032 |
6.4.1 Overview & Analysis |
6.4.2 Global Smart Agriculture Solutions Market, Revenues & Volume, By AI-Powered Analytics, 2022-2032 |
6.4.3 Global Smart Agriculture Solutions Market, Revenues & Volume, By Cloud-Enabled Sensors, 2022-2032 |
6.4.4 Global Smart Agriculture Solutions Market, Revenues & Volume, By Remote Sensing, 2022-2032 |
6.4.5 Global Smart Agriculture Solutions Market, Revenues & Volume, By Edge Computing, 2022-2032 |
6.4.6 Global Smart Agriculture Solutions Market, Revenues & Volume, By Blockchain Integration, 2022-2032 |
6.5 Global Smart Agriculture Solutions Market, Revenues & Volume, By End User, 2022-2032 |
6.5.1 Overview & Analysis |
6.5.2 Global Smart Agriculture Solutions Market, Revenues & Volume, By Farmers & Growers, 2022-2032 |
6.5.3 Global Smart Agriculture Solutions Market, Revenues & Volume, By Agricultural Enterprises, 2022-2032 |
6.5.4 Global Smart Agriculture Solutions Market, Revenues & Volume, By Government Programs, 2022-2032 |
6.5.5 Global Smart Agriculture Solutions Market, Revenues & Volume, By Agri-Tech Companies, 2022-2032 |
6.5.6 Global Smart Agriculture Solutions Market, Revenues & Volume, By Research Institutes, 2022-2032 |
7 North America Smart Agriculture Solutions Market, Overview & Analysis |
7.1 North America Smart Agriculture Solutions Market Revenues & Volume, 2022-2032 |
7.2 North America Smart Agriculture Solutions Market, Revenues & Volume, By Countries, 2022-2032 |
7.2.1 United States (US) Smart Agriculture Solutions Market, Revenues & Volume, 2022-2032 |
7.2.2 Canada Smart Agriculture Solutions Market, Revenues & Volume, 2022-2032 |
7.2.3 Rest of North America Smart Agriculture Solutions Market, Revenues & Volume, 2022-2032 |
7.3 North America Smart Agriculture Solutions Market, Revenues & Volume, By Solution Type, 2022-2032 |
7.4 North America Smart Agriculture Solutions Market, Revenues & Volume, By Connectivity, 2022-2032 |
7.5 North America Smart Agriculture Solutions Market, Revenues & Volume, By Application, 2022-2032 |
7.6 North America Smart Agriculture Solutions Market, Revenues & Volume, By Technology, 2022-2032 |
7.7 North America Smart Agriculture Solutions Market, Revenues & Volume, By End User, 2022-2032 |
8 Latin America (LATAM) Smart Agriculture Solutions Market, Overview & Analysis |
8.1 Latin America (LATAM) Smart Agriculture Solutions Market Revenues & Volume, 2022-2032 |
8.2 Latin America (LATAM) Smart Agriculture Solutions Market, Revenues & Volume, By Countries, 2022-2032 |
8.2.1 Brazil Smart Agriculture Solutions Market, Revenues & Volume, 2022-2032 |
8.2.2 Mexico Smart Agriculture Solutions Market, Revenues & Volume, 2022-2032 |
8.2.3 Argentina Smart Agriculture Solutions Market, Revenues & Volume, 2022-2032 |
8.2.4 Rest of LATAM Smart Agriculture Solutions Market, Revenues & Volume, 2022-2032 |
8.3 Latin America (LATAM) Smart Agriculture Solutions Market, Revenues & Volume, By Solution Type, 2022-2032 |
8.4 Latin America (LATAM) Smart Agriculture Solutions Market, Revenues & Volume, By Connectivity, 2022-2032 |
8.5 Latin America (LATAM) Smart Agriculture Solutions Market, Revenues & Volume, By Application, 2022-2032 |
8.6 Latin America (LATAM) Smart Agriculture Solutions Market, Revenues & Volume, By Technology, 2022-2032 |
8.7 Latin America (LATAM) Smart Agriculture Solutions Market, Revenues & Volume, By End User, 2022-2032 |
9 Asia Smart Agriculture Solutions Market, Overview & Analysis |
9.1 Asia Smart Agriculture Solutions Market Revenues & Volume, 2022-2032 |
9.2 Asia Smart Agriculture Solutions Market, Revenues & Volume, By Countries, 2022-2032 |
9.2.1 India Smart Agriculture Solutions Market, Revenues & Volume, 2022-2032 |
9.2.2 China Smart Agriculture Solutions Market, Revenues & Volume, 2022-2032 |
9.2.3 Japan Smart Agriculture Solutions Market, Revenues & Volume, 2022-2032 |
9.2.4 Rest of Asia Smart Agriculture Solutions Market, Revenues & Volume, 2022-2032 |
9.3 Asia Smart Agriculture Solutions Market, Revenues & Volume, By Solution Type, 2022-2032 |
9.4 Asia Smart Agriculture Solutions Market, Revenues & Volume, By Connectivity, 2022-2032 |
9.5 Asia Smart Agriculture Solutions Market, Revenues & Volume, By Application, 2022-2032 |
9.6 Asia Smart Agriculture Solutions Market, Revenues & Volume, By Technology, 2022-2032 |
9.7 Asia Smart Agriculture Solutions Market, Revenues & Volume, By End User, 2022-2032 |
10 Africa Smart Agriculture Solutions Market, Overview & Analysis |
10.1 Africa Smart Agriculture Solutions Market Revenues & Volume, 2022-2032 |
10.2 Africa Smart Agriculture Solutions Market, Revenues & Volume, By Countries, 2022-2032 |
10.2.1 South Africa Smart Agriculture Solutions Market, Revenues & Volume, 2022-2032 |
10.2.2 Egypt Smart Agriculture Solutions Market, Revenues & Volume, 2022-2032 |
10.2.3 Nigeria Smart Agriculture Solutions Market, Revenues & Volume, 2022-2032 |
10.2.4 Rest of Africa Smart Agriculture Solutions Market, Revenues & Volume, 2022-2032 |
10.3 Africa Smart Agriculture Solutions Market, Revenues & Volume, By Solution Type, 2022-2032 |
10.4 Africa Smart Agriculture Solutions Market, Revenues & Volume, By Connectivity, 2022-2032 |
10.5 Africa Smart Agriculture Solutions Market, Revenues & Volume, By Application, 2022-2032 |
10.6 Africa Smart Agriculture Solutions Market, Revenues & Volume, By Technology, 2022-2032 |
10.7 Africa Smart Agriculture Solutions Market, Revenues & Volume, By End User, 2022-2032 |
11 Europe Smart Agriculture Solutions Market, Overview & Analysis |
11.1 Europe Smart Agriculture Solutions Market Revenues & Volume, 2022-2032 |
11.2 Europe Smart Agriculture Solutions Market, Revenues & Volume, By Countries, 2022-2032 |
11.2.1 United Kingdom Smart Agriculture Solutions Market, Revenues & Volume, 2022-2032 |
11.2.2 Germany Smart Agriculture Solutions Market, Revenues & Volume, 2022-2032 |
11.2.3 France Smart Agriculture Solutions Market, Revenues & Volume, 2022-2032 |
11.2.4 Rest of Europe Smart Agriculture Solutions Market, Revenues & Volume, 2022-2032 |
11.3 Europe Smart Agriculture Solutions Market, Revenues & Volume, By Solution Type, 2022-2032 |
11.4 Europe Smart Agriculture Solutions Market, Revenues & Volume, By Connectivity, 2022-2032 |
11.5 Europe Smart Agriculture Solutions Market, Revenues & Volume, By Application, 2022-2032 |
11.6 Europe Smart Agriculture Solutions Market, Revenues & Volume, By Technology, 2022-2032 |
11.7 Europe Smart Agriculture Solutions Market, Revenues & Volume, By End User, 2022-2032 |
12 Middle East Smart Agriculture Solutions Market, Overview & Analysis |
12.1 Middle East Smart Agriculture Solutions Market Revenues & Volume, 2022-2032 |
12.2 Middle East Smart Agriculture Solutions Market, Revenues & Volume, By Countries, 2022-2032 |
12.2.1 Saudi Arabia Smart Agriculture Solutions Market, Revenues & Volume, 2022-2032 |
12.2.2 UAE Smart Agriculture Solutions Market, Revenues & Volume, 2022-2032 |
12.2.3 Turkey Smart Agriculture Solutions Market, Revenues & Volume, 2022-2032 |
12.3 Middle East Smart Agriculture Solutions Market, Revenues & Volume, By Solution Type, 2022-2032 |
12.4 Middle East Smart Agriculture Solutions Market, Revenues & Volume, By Connectivity, 2022-2032 |
12.5 Middle East Smart Agriculture Solutions Market, Revenues & Volume, By Application, 2022-2032 |
12.6 Middle East Smart Agriculture Solutions Market, Revenues & Volume, By Technology, 2022-2032 |
12.7 Middle East Smart Agriculture Solutions Market, Revenues & Volume, By End User, 2022-2032 |
13 Global Smart Agriculture Solutions Market Key Performance Indicators |
14 Global Smart Agriculture Solutions Market - Export/Import By Countries Assessment |
15 Global Smart Agriculture Solutions Market - Opportunity Assessment |
15.1 Global Smart Agriculture Solutions Market Opportunity Assessment, By Countries, 2022 & 2032F |
15.2 Global Smart Agriculture Solutions Market Opportunity Assessment, By Solution Type, 2022 & 2032F |
15.3 Global Smart Agriculture Solutions Market Opportunity Assessment, By Connectivity, 2022 & 2032F |
15.4 Global Smart Agriculture Solutions Market Opportunity Assessment, By Application, 2022 & 2032F |
15.5 Global Smart Agriculture Solutions Market Opportunity Assessment, By Technology, 2022 & 2032F |
15.6 Global Smart Agriculture Solutions Market Opportunity Assessment, By End User, 2022 & 2032F |
16 Global Smart Agriculture Solutions Market - Competitive Landscape |
16.1 Global Smart Agriculture Solutions Market Revenue Share, By Companies, 2025 |
16.2 Global Smart Agriculture Solutions Market Competitive Benchmarking, By Operating and Technical Parameters |
17 Top 10 Company Profiles |
18 Recommendations |
19 Disclaimer |
Export potential enables firms to identify high-growth global markets with greater confidence by combining advanced trade intelligence with a structured quantitative methodology. The framework analyzes emerging demand trends and country-level import patterns while integrating macroeconomic and trade datasets such as GDP and population forecasts, bilateral import–export flows, tariff structures, elasticity differentials between developed and developing economies, geographic distance, and import demand projections. Using weighted trade values from 2020–2024 as the base period to project country-to-country export potential for 2030, these inputs are operationalized through calculated drivers such as gravity model parameters, tariff impact factors, and projected GDP per-capita growth. Through an analysis of hidden potentials, demand hotspots, and market conditions that are most favorable to success, this method enables firms to focus on target countries, maximize returns, and global expansion with data, backed by accuracy.
By factoring in the projected importer demand gap that is currently unmet and could be potential opportunity, it identifies the potential for the Exporter (Country) among 190 countries, against the general trade analysis, which identifies the biggest importer or exporter.
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