AI in Wildlife Conservation Monitoring Market Reach USD 16.5 Billion by 2032 Globally

Allied Market Research published a report, titled, "AI in Wildlife Conservation Monitoring Market by Technology Type (Machine Learning, Computer Vision, Natural Language Processing, Data Analytics & Predictive Modeling, and Robotics & Drones), Scale of Implantation (Local or Regional Initiatives, National Conservation Programs and International Collaborations and Partnerships), Application (Wildlife Monitoring and Tracking, Habitat Protection and Restoration, Anti-poaching Measures, Wildlife Disease Detection and Management and Conservation Policy and Planning), and End User (Government Agencies & NGOs, Wildlife Reserves & National Parks, Research Institutions & Universities and Conservation-focused Companies and Startups): Global Opportunity Analysis and Industry Forecast, 2024-2032".

According to the report, the AI in wildlife conservation monitoring market was valued at $1.8 billion in 2023, and is estimated to reach $16.5 billion by 2032, growing at a CAGR of 28.4% from 2024 to 2032.

Prime Determinants of Growth

Increase in data processing efficiency and rise in need for real-time monitoring are the factors expected to propel the growth of the global AI in animal conservation monitoring market. However, privacy & data security concerns and stringent regulatory requirements imposed by government authorities are anticipated to hamper the growth of global market. On the contrary, rising demand for enhanced monitoring & early warning systems and increasing precision conservation planning & adaptive management are expected to create lucrative opportunities for the growth of the global market.

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The Machine Learning segment dominated the market in 2023.

By technology type, the machine learning segment accounted for the largest share in 2023, owing to its effectiveness in processing and analyzing large volumes of ecological data. Machine learning algorithms excel in recognizing patterns and trends within datasets gathered from various sources such as satellite imagery, camera traps, and acoustic sensors. By leveraging historical data and real-time inputs, machine learning models accurately predict wildlife behaviors, monitor population dynamics, and identify potential threats such as habitat loss or illegal activities, which is further expected to propel the overall market growth. However, the robotics and drones segment is expected to attain the highest CAGR during the forecast period, owing to technological advancements that have significantly enhanced their capabilities. Drones equipped with AI-powered sensors and cameras access remote or difficult-to-reach areas, providing real-time visual and thermal imagery for wildlife monitoring and habitat assessment. Robotics, including ground-based robots and autonomous vehicles, offer opportunities for non-invasive monitoring and data collection in sensitive ecosystems, and driving the growth of this segment in the global AI in animal conservation monitoring market.

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The national conservation programs segment accounted for the largest share in 2023.

By scale of implementation, the national conservation programs segment accounted for the largest share in 2023, owing to the focused implementation of AI in animal conservation monitoring and significant investment by governments in safeguarding domestic wildlife and ecosystems. National conservation programs often receive substantial funding and support, allowing for the deployment of advanced AI technologies such as machine learning and satellite imaging to monitor and protect endangered species, manage habitats, and enforce wildlife laws effectively, which is further expected to propel the overall market growth. However, the international collaborations & partnerships segment is expected to attain the highest CAGR during the forecast period, owing to the increasing recognition of global conservation challenges that transcend national boundaries. Collaborative efforts of governments, non-profit organizations, research institutions, and technology providers are crucial for sharing resources, expertise, and data across regions. AI facilitates international collaborations by standardizing data collection methodologies, harmonizing monitoring protocols, and enabling seamless information exchange. Thereby, driving the growth of this segment in the global AI in animal conservation monitoring market.

The wildlife monitoring & tracking segment accounted for the largest share in 2023.

By application, the wildlife monitoring & tracking segment accounted for the largest share in 2023, owing to its critical role in understanding and managing wildlife populations. This application involves deploying AI technologies such as GPS tracking, camera traps, and satellite imagery to monitor animal movements, behaviors, and habitat use patterns, which is further expected to propel the overall market growth. However, the anti-poaching measures segment is expected to attain the highest CAGR during the forecast period, owing to increasing global concerns over wildlife crime and illegal trade. AI technologies play a pivotal role in anti-poaching efforts by enabling real-time monitoring of protected areas, detecting suspicious activities through advanced analytics and predictive modeling, and facilitating rapid response interventions by law enforcement agencies and conservation organizations. Thereby, driving the growth of this segment in the global AI in animal conservation monitoring market.

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The government agencies & NGOs segment accounted for the largest share in 2023.

By end user, the government agencies & NGOs segment accounted for the largest share in 2023, owing to its pivotal role in policymaking, enforcement of wildlife laws, and implementation of conservation initiatives. Government agencies possess the authority and resources to deploy AI technologies effectively for wildlife monitoring, habitat management, and biodiversity conservation. NGOs complement these efforts by advocating for conservation policies, mobilizing public support, and implementing on-the-ground conservation projects, which is further expected to propel the overall market growth. However, the wildlife reserves & national parks segment is projected to maintain its lead position during the forecast period, owing to increasing pressures from habitat fragmentation, poaching, and climate change. Wildlife reserves and national parks serve as sanctuaries for biodiversity, hosting diverse species and fragile ecosystems that require intensive monitoring and protection. Thereby, driving the growth of this segment in the global AI in animal conservation monitoring market.

The North America segment held the highest market share in terms of revenue in 2023.

By region, the North America segment held the highest market share in terms of revenue in 2023, owing to advanced technological infrastructure, significant investments in research and development, and robust conservation policies & funding from government agencies and NGOs. These factors have facilitated widespread adoption of AI technologies for wildlife monitoring, habitat management, and conservation efforts, which are anticipated to propel the growth of the market in this region. However, the Asia-Pacific segment is projected to attain the highest CAGR from 2024 to 2032, owing to rising environmental awareness, increasing conservation efforts, and expanding initiatives to protect biodiversity. Countries in Asia-Pacific, including India, China, Australia, and Southeast Asian nations, harbor diverse ecosystems and endangered species facing significant conservation challenges such as habitat loss, illegal wildlife trade, and human-wildlife conflicts, further expected to contribute to the growth of the market in this region.

Leading Market Players: -
• Conservation Metrics Inc.
• Enview Inc.
• Google LLC
• IBM Corporation
• Intel Corporation
• Leonardo
• DiCaprio Foundation
• Microsoft Corporation
• NVIDIA Corporation
• Reservoir Labs Inc.
• Wildlife Conservation Society (WCS)

The report provides a detailed analysis of these key players in the AI in animal conservation monitoring market. These players have adopted different strategies such as new product launches, collaborations, expansion, joint ventures, and agreements to increase their market share and maintain dominant shares in different countries. The report is valuable in highlighting business performance, operating segments, product portfolio, and strategic moves of market players to highlight the competitive scenario.

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Recent Development:

• In May 2024, Kyndryl, the world's largest technology infrastructure services provider, collaborated with NVIDIA to accelerate the development, implementation, and use of AI-powered insights and business outcomes. Kyndryl's AI-powered open integration digital business platform, Kyndryl Bridge, is expected to support the end-to-end lifecycle of AI development and implementation in real-world business environments for customers running full-stack NVIDIA accelerated computing and software.

• In June 2023, Google collaborated with QUT's, to help QUT's use Google AI i to monitor the sounds and songs of wildlife. This collaboration is part of Google's Digital Future Initiative - a five-year investment in Australian infrastructure, research, and partnerships.

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