The geospatial industry has undergone significant transformations over the past three decades, with each phase bringing new challenges and opportunities. As we enter what many consider the third major phase of evolution in this field, it’s crucial to understand the current landscape and the hurdles that companies face in navigating this rapidly changing terrain.
The Journey So Far
The geospatial industry has seen three major phases of evolution:
- The rise of WebGIS in the 1990s and early 2000s
- The emergence of mobile computing and GPS-enabled devices
- The current phase, characterized by massive data collection, multidimensional data, and the emergence of Artificial Intelligence (AI)
This latest phase represents a significant inflection point, potentially more impactful than the previous two combined. The industry is now grappling with the challenges and opportunities presented by Geospatial 2.0, which involves handling vast amounts of data, including LiDAR and other multidimensional datasets, as well as leveraging new platforms, software, and AI technologies.
Commercial Challenges in the Geospatial Industry
While technological advancements have been rapid, the commercial side of the geospatial industry has faced several persistent challenges. These can be broadly categorized into three main areas:
1. Product-Market Fit
Many geospatial companies struggle with achieving product-market fit, especially when:
- Introducing existing products to new markets (e.g., moving from Europe to the US)
- Developing entirely new products
The lack of proper market validation often results in minimum viable products (MVPs) that never make it to market. This issue is frequently exacerbated when technical teams drive product development without sufficient input from commercial teams or end-users.
2. Strategy Formulation
Strategy is often misunderstood or poorly implemented in geospatial companies. Many organizations either rely too heavily on external consultants or fail to develop a comprehensive internal strategy. A well-defined strategy should include:
- A clear vision and mission
- Defined target markets
- A plan for achieving competitive advantage
- Methods for executing and adapting the strategy
3. Go-to-Market Execution
The execution of sales and marketing strategies presents another significant challenge. Companies often struggle with:
- Finding the right balance between hiring pure salespeople and geospatial experts
- Developing effective websites that clearly communicate value propositions
- Creating targeted content for different stages of the sales funnel
- Implementing proper call-to-action strategies
The Way Forward
To address these challenges, geospatial companies should consider the following approaches:
- Embrace Design Thinking: Implement human-centric frameworks that involve customers in the product development process from the start, ensuring continuous validation and iteration.
- Develop Comprehensive Strategies: Utilize frameworks like those proposed by Roger Martin to create robust strategies that define vision, target markets, and competitive advantages.
- Improve Go-to-Market Execution: Focus on creating clear, compelling websites, developing targeted content for different stages of the sales funnel, and implementing effective call-to-action strategies.
- Leverage AI and Generative AI: Explore the potential of AI technologies to enhance efficiency and effectiveness in product development, marketing, and sales processes.
Conclusion
The geospatial industry stands at a critical juncture, with immense opportunities for growth and innovation. By addressing the commercial challenges head-on and embracing new technologies and methodologies, companies can position themselves for success in this evolving landscape. The key lies in balancing technical expertise with strong commercial acumen, ensuring that cutting-edge geospatial technologies translate into valuable, market-ready solutions.
Matt Sheehan is a geospatial business growth expert. Follow him on LinkedIn.
