Artificial Intelligence (AI) for Earth Monitoring Market Report 2024

This Artificial Intelligence (AI) For Earth Monitoring market report covers market characteristics, size and growth, segmentation, regional and country breakdowns, competitive landscape, market shares, trends and strategies for this market. It traces the market’s historic and forecast market growth by geography.

The artificial intelligence (AI) for earth monitoring market size has grown exponentially in recent years. It will grow from $2.44 billion in 2023 to $2.94 billion in 2024 at a compound annual growth rate (CAGR) of 20.4%. The historical growth can be attributed to several factors, including increased availability of satellite data, heightened environmental awareness, government initiatives and regulations, advancements in high-resolution sensors, funding and investment in environmental technology, and collaborations between tech companies and environmental organizations.

The artificial intelligence (AI) for earth monitoring market size is expected to see exponential growth in the next few years. It will grow to $6.23 billion in 2028 at a compound annual growth rate (CAGR) of 20.6%. The anticipated growth during the forecast period can be attributed to several factors, including escalating concerns about climate change, increasing frequency of natural disasters, advancements in machine learning techniques, expansion of global satellite networks, growing urbanization and industrialization, a heightened focus on sustainability, and improved data integration capabilities. Key trends expected during this period include the integration of AI with the Internet of Things (IoT), development of advanced computer vision technologies, emergence of AI-driven predictive analytics, growth of cloud-based AI solutions, adoption of real-time data processing, enhanced collaboration platforms for data sharing, and a focus on customizable AI solutions.

Growing concerns about climate change, deforestation, and pollution are anticipated to drive the expansion of artificial intelligence (AI) in the earth monitoring market. These environmental issues impact the stability and health of the natural world and have gained increasing attention due to heightened awareness, scientific evidence, and visible environmental changes. AI in earth monitoring helps analyze environmental data, track changes, and implement measures to address climate challenges. For example, in April 2024, the World Resources Institute reported a 24% increase in global tree cover loss in 2023, from 22.8 million hectares in 2022 to 28.3 million hectares. Additionally, the International Energy Agency noted in February 2024 that global energy-related carbon dioxide (CO2) emissions rose by 1.1%, equivalent to 410 million metric tons (Mt CO2) in 2023. These rising environmental concerns are driving the growth of AI in the earth monitoring market.

Major companies in the artificial intelligence (AI) for Earth monitoring market are advancing their efforts by focusing on generative AI solutions to boost the accuracy and efficiency of environmental monitoring. These solutions are aimed at improving sustainability decision-making, predicting and analyzing climate and land use changes, and enhancing disaster response and infrastructure planning. Generative AI involves creating new content or models based on patterns learned from existing data, leading to innovative outputs. For example, in January 2024, Deloitte Touche Tohmatsu Limited, a UK-based professional services firm, introduced a new geospatial and AI platform for scenario planning and monitoring. Powered by Google Earth Engine and Vertex AI, this platform combines advanced geospatial data with AI technologies to support clients in enhancing their sustainability initiatives and climate strategies. It provides tools for better urban planning, disaster management, and infrastructure development by utilizing AI to analyze and visualize data on land use and environmental impacts. Additionally, the platform offers insights to optimize sustainable outcomes and supports financial modeling for sustainable investments.

In November 2022, Maxar Technologies, a US-based space solutions company, acquired Wovenware for an undisclosed amount. This acquisition aims to leverage Wovenware's expertise to accelerate the development of new solutions, enhance customer access to Maxar’s products, and expand its talent pool, particularly in AI and machine learning. Wovenware, a US-based company, specializes in software and AI services for the aerospace industry, including geospatial AI applications.

Major companies operating in the artificial intelligence (AI) for earth monitoring market are Google LLC, Microsoft Corporation, Airbus SE, International Business Machines Corporation (IBM), L3Harris Technologies Inc., EagleView Technologies Inc, Planet Labs Inc, Satellite Applications Catapult Ltd, Spire Global Inc, BlackSky Global Inc, Orbital Insight Inc, Tomorrow.io Inc., SatSure AG, Synspective Inc., Kayrros SAS, Orbital Sidekick Inc., Ursa Space Systems Inc, Satellogic Inc, Earth-I Ltd., Climavision Analytics LLC, Sentinel Hub Ltd.

North America was the largest region in the artificial intelligence (AI) for earth monitoring market in 2023. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the artificial intelligence (AI) for earth monitoring market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.

The countries covered in the artificial intelligence (AI) for earth monitoring market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

Artificial intelligence (AI) for earth monitoring involves using AI technologies to collect, analyze, and interpret data about the Earth's environment. This includes utilizing AI techniques to monitor and predict changes in the atmosphere, land, marine environments, and climate. AI enhances the ability to track environmental changes, identify patterns, and provide actionable insights for improved decision-making.

The main AI technologies for earth monitoring include machine learning, natural language processing, and computer vision, among others. Machine learning uses algorithms to enable computers to learn from data and improve their performance over time without explicit programming. AI applications in earth monitoring encompass atmosphere monitoring, land monitoring, marine monitoring, climate monitoring, and more, serving various end users such as government and public sectors, the private sector, research institutions, and academia.

The artificial intelligence (AI) for earth monitoring market research report is one of a series of new reports that provides artificial intelligence (AI) for earth monitoring market statistics, including artificial intelligence (AI) for earth monitoring industry global market size, regional shares, competitors with a artificial intelligence (AI) for earth monitoring market share, detailed artificial intelligence (AI) for earth monitoring market segments, market trends and opportunities, and any further data you may need to thrive in the artificial intelligence (AI) for earth monitoring industry. This artificial intelligence (AI) for earth monitoring market research report delivers a complete perspective on everything you need, with an in-depth analysis of the current and future scenarios of the industry.

The artificial intelligence (AI) for the earth monitoring market consists of revenues earned by entities by providing services such as real-time environmental data collection, predictive analytics for climate change, satellite imagery analysis, and remote sensing. The market value includes the value of related goods sold by the service provider or included within the service offering. The artificial intelligence (AI) for Earth monitoring market also includes sales of AI-powered sensors, satellite imaging software, data processing tools, and environmental monitoring devices. Values in this market are ‘factory gate’ values, that is, the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors, and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD, unless otherwise specified).

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

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