Summary

AI in Wildlife Conservation Monitoring Market
The AI in wildlife conservation monitoring market was valued at $1.8 billion in 2023 and is projected to reach $16.5 billion by 2032, growing at a CAGR of 28.4% from 2024 to 2032.
AI in wildlife conservation monitoring involves the usage of advanced technologies such as deep learning and machine learning to enhance the efficacy of biodiversity protection. Different aspects of AI such as real-time monitoring, data collection, and predictive analytics aid in making well-informed decisions for biodiversity protection by addressing challenges such as human activity, climate change, and habitat destruction.

Exponential surge in the extinction rates of species has fueled the need for innovative wildlife conservation strategies, thereby propelling the growth of the AI in wildlife conservation monitoring market. This is attributed to the ability of AI to scale conservation efforts by collecting large amounts of data. In addition, increase in illegal activities and poaching attempts has boosted the requirement for real-time monitoring of wildlife, which augments the market development significantly. An emerging trend gaining prominence in the market is the incorporation of the public in wildlife conservation efforts. Through AI-powered mobile applications, citizens are able to participate in such initiatives by identifying species and reporting sightings to researchers. This crowdsourcing of data is projected to boost wildlife conservation efforts notably.

However, ethical considerations such as data privacy and algorithmic bias deter several conservation organizations from utilizing AI, which hampers the development of the market. Furthermore, the installation of AI-associated technologies requires significant capital, which slows down the adoption in underserved areas and restrains the market growth. On the contrary, the usage of blockchain technology along with AI for wildlife conservation is poised to present new avenues for the market. The immutable ledger of blockchain technology facilitates transparent collaboration among various stakeholders associated with wildlife conservation. According to Crypto Altruism—a content platform that intersects blockchain and social & environmental impact—the planet is currently in the middle of the sixth mass extinction event in history, in which blockchain exhibits the potential to transform wildlife conservation efforts through its secure and accountable system.

Segment Review
The AI in wildlife conservation monitoring market is segmented into technology type, scale of implantation, application, end user, and region. On the basis of technology type, the market is divided into machine learning, computer vision, natural language processing, data analytics & predictive modeling, and robotics & drones. Depending on scale of implantation, it is classified into local or regional initiatives, national conservation programs, and international collaborations & partnerships. As per application, it is categorized into wildlife monitoring & tracking, habitat protection & restoration, anti-poaching measures, wildlife disease detection & management, and conservation policy & planning. According to end user, it is segregated into government agencies & NGOs, wildlife reserves & national parks, research institutions & universities, and conservation-focused companies & startups. Region wise, it is analyzed across North America, Europe, Asia-Pacific, and LAMEA.
Key Findings
On the basis of technology type, the machine learning segment held a significant share of the market in 2023.
Depending on scale of implantation, the national conservation programs segment dominated the market in 2023.
As per application, the wildlife monitoring & tracking segment accounted for the highest market share in 2023.
According to end user, the government agencies & NGOs segment acquired a notable stake in the market in 2023.
Region wise, North America was the highest revenue generator in 2023.
Competition Analysis
The major players in the global AI in wildlife conservation monitoring market include Conservation Metrics Inc., Enview Inc., Google LLC, IBM Corporation, Intel Corporation, Leonardo, DiCaprio Foundation, Microsoft Corporation, NVIDIA Corporation, Reservoir Labs Inc., and Wildlife Conservation Society. These major players have adopted various key development strategies such as business expansion, new product launches, and partnerships to strengthen their foothold in the competitive market.

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● 15% Free Customization* (in case the scope or segment of the report does not match your requirements, 15% is equivalent to 3 working days of free work, applicable once)
● Free data Pack on the Five and Enterprise User License. (Excel version of the report)
● Free Updated report if the report is 6-12 months old or older.
● 24-hour priority response*
● Free Industry updates and white papers.

Possible Customization with this report (with additional cost and timeline, please talk to the sales executive to know more)
● End user preferences and pain points
● Industry life cycle assessment, by region
● Product Benchmarking / Product specification and applications
● Product Life Cycles
● Scenario Analysis & Growth Trend Comparison
● Technology Trend Analysis
● Go To Market Strategy
● Market share analysis of players by products/segments
● New Product Development/ Product Matrix of Key Players
● Pain Point Analysis
● Strategic Recommendations
● Additional company profiles with specific to client's interest
● Additional country or region analysis- market size and forecast
● Brands Share Analysis
● Criss-cross segment analysis- market size and forecast
● Expanded list for Company Profiles
● Historic market data
● Market share analysis of players at global/region/country level
● SWOT Analysis
Key Market Segments
By Region
● North America
○ U.S.
○ Canada
● Europe
○ France
○ Germany
○ Italy
○ Spain
○ UK
○ Rest of Europe
● Asia-Pacific
○ China
○ Japan
○ India
○ South Korea
○ Australia
○ Rest of Asia-Pacific
● LAMEA
○ Latin America
○ Middle East
○ Africa
By Technology Type
● Machine Learning
● Computer Vision
● Natural Language Processing
● Data Analytics Predictive Modeling
● Robotics Drones
By Scale Of Implantation
● Local or Regional Initiatives
● National Conservation Programs
● International Collaborations and Partnerships
By Application
● Wildlife Monitoring and Tracking
● Habitat Protection and Restoration
● Anti-poaching Measures
● Wildlife Disease Detection and Management
● Conservation Policy and Planning
By End User
● Government Agencies NGOs
● Wildlife Reserves National Parks
● Research Institutions Universities
● Conservation-focused Companies and Startups
● Key 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

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Table of Contents

CHAPTER 1: INTRODUCTION
1.1. Report Description
1.2. Key Market Segments
1.3. Key Benefits
1.4. Research Methodology
1.4.1. Primary Research
1.4.2. Secondary Research
1.4.3. Analyst Tools and Models
CHAPTER 2: EXECUTIVE SUMMARY
2.1. CXO Perspective
CHAPTER 3: MARKET LANDSCAPE
3.1. Market Definition and Scope
3.2. Key Findings
3.2.1. Top Investment Pockets
3.2.2. Top Winning Strategies
3.3. Porter's Five Forces Analysis
3.3.1. Bargaining Power of Suppliers
3.3.2. Threat of New Entrants
3.3.3. Threat of Substitutes
3.3.4. Competitive Rivalry
3.3.5. Bargaining Power among Buyers
3.4. Market Dynamics
3.4.1. Drivers
3.4.2. Restraints
3.4.3. Opportunities
CHAPTER 4: AI IN WILDLIFE CONSERVATION MONITORING MARKET, BY TECHNOLOGY TYPE
4.1. Market Overview
4.1.1 Market Size and Forecast, By Technology Type
4.2. Machine Learning
4.2.1. Key Market Trends, Growth Factors and Opportunities
4.2.2. Market Size and Forecast, By Region
4.2.3. Market Share Analysis, By Country
4.3. Computer Vision
4.3.1. Key Market Trends, Growth Factors and Opportunities
4.3.2. Market Size and Forecast, By Region
4.3.3. Market Share Analysis, By Country
4.4. Natural Language Processing
4.4.1. Key Market Trends, Growth Factors and Opportunities
4.4.2. Market Size and Forecast, By Region
4.4.3. Market Share Analysis, By Country
4.5. Data Analytics Predictive Modeling
4.5.1. Key Market Trends, Growth Factors and Opportunities
4.5.2. Market Size and Forecast, By Region
4.5.3. Market Share Analysis, By Country
4.6. Robotics Drones
4.6.1. Key Market Trends, Growth Factors and Opportunities
4.6.2. Market Size and Forecast, By Region
4.6.3. Market Share Analysis, By Country
CHAPTER 5: AI IN WILDLIFE CONSERVATION MONITORING MARKET, BY SCALE OF IMPLANTATION
5.1. Market Overview
5.1.1 Market Size and Forecast, By Scale Of Implantation
5.2. Local Or Regional Initiatives
5.2.1. Key Market Trends, Growth Factors and Opportunities
5.2.2. Market Size and Forecast, By Region
5.2.3. Market Share Analysis, By Country
5.3. National Conservation Programs
5.3.1. Key Market Trends, Growth Factors and Opportunities
5.3.2. Market Size and Forecast, By Region
5.3.3. Market Share Analysis, By Country
5.4. International Collaborations And Partnerships
5.4.1. Key Market Trends, Growth Factors and Opportunities
5.4.2. Market Size and Forecast, By Region
5.4.3. Market Share Analysis, By Country
CHAPTER 6: AI IN WILDLIFE CONSERVATION MONITORING MARKET, BY APPLICATION
6.1. Market Overview
6.1.1 Market Size and Forecast, By Application
6.2. Wildlife Monitoring And Tracking
6.2.1. Key Market Trends, Growth Factors and Opportunities
6.2.2. Market Size and Forecast, By Region
6.2.3. Market Share Analysis, By Country
6.3. Habitat Protection And Restoration
6.3.1. Key Market Trends, Growth Factors and Opportunities
6.3.2. Market Size and Forecast, By Region
6.3.3. Market Share Analysis, By Country
6.4. Anti-poaching Measures
6.4.1. Key Market Trends, Growth Factors and Opportunities
6.4.2. Market Size and Forecast, By Region
6.4.3. Market Share Analysis, By Country
6.5. Wildlife Disease Detection And Management
6.5.1. Key Market Trends, Growth Factors and Opportunities
6.5.2. Market Size and Forecast, By Region
6.5.3. Market Share Analysis, By Country
6.6. Conservation Policy And Planning
6.6.1. Key Market Trends, Growth Factors and Opportunities
6.6.2. Market Size and Forecast, By Region
6.6.3. Market Share Analysis, By Country
CHAPTER 7: AI IN WILDLIFE CONSERVATION MONITORING MARKET, BY END USER
7.1. Market Overview
7.1.1 Market Size and Forecast, By End User
7.2. Government Agencies NGOs
7.2.1. Key Market Trends, Growth Factors and Opportunities
7.2.2. Market Size and Forecast, By Region
7.2.3. Market Share Analysis, By Country
7.3. Wildlife Reserves National Parks
7.3.1. Key Market Trends, Growth Factors and Opportunities
7.3.2. Market Size and Forecast, By Region
7.3.3. Market Share Analysis, By Country
7.4. Research Institutions Universities
7.4.1. Key Market Trends, Growth Factors and Opportunities
7.4.2. Market Size and Forecast, By Region
7.4.3. Market Share Analysis, By Country
7.5. Conservation-focused Companies And Startups
7.5.1. Key Market Trends, Growth Factors and Opportunities
7.5.2. Market Size and Forecast, By Region
7.5.3. Market Share Analysis, By Country
CHAPTER 8: AI IN WILDLIFE CONSERVATION MONITORING MARKET, BY REGION
8.1. Market Overview
8.1.1 Market Size and Forecast, By Region
8.2. North America
8.2.1. Key Market Trends and Opportunities
8.2.2. Market Size and Forecast, By Technology Type
8.2.3. Market Size and Forecast, By Scale Of Implantation
8.2.4. Market Size and Forecast, By Application
8.2.5. Market Size and Forecast, By End User
8.2.6. Market Size and Forecast, By Country
8.2.7. U.S. AI in Wildlife Conservation Monitoring Market
8.2.7.1. Market Size and Forecast, By Technology Type
8.2.7.2. Market Size and Forecast, By Scale Of Implantation
8.2.7.3. Market Size and Forecast, By Application
8.2.7.4. Market Size and Forecast, By End User
8.2.8. Canada AI in Wildlife Conservation Monitoring Market
8.2.8.1. Market Size and Forecast, By Technology Type
8.2.8.2. Market Size and Forecast, By Scale Of Implantation
8.2.8.3. Market Size and Forecast, By Application
8.2.8.4. Market Size and Forecast, By End User
8.3. Europe
8.3.1. Key Market Trends and Opportunities
8.3.2. Market Size and Forecast, By Technology Type
8.3.3. Market Size and Forecast, By Scale Of Implantation
8.3.4. Market Size and Forecast, By Application
8.3.5. Market Size and Forecast, By End User
8.3.6. Market Size and Forecast, By Country
8.3.7. France AI in Wildlife Conservation Monitoring Market
8.3.7.1. Market Size and Forecast, By Technology Type
8.3.7.2. Market Size and Forecast, By Scale Of Implantation
8.3.7.3. Market Size and Forecast, By Application
8.3.7.4. Market Size and Forecast, By End User
8.3.8. Germany AI in Wildlife Conservation Monitoring Market
8.3.8.1. Market Size and Forecast, By Technology Type
8.3.8.2. Market Size and Forecast, By Scale Of Implantation
8.3.8.3. Market Size and Forecast, By Application
8.3.8.4. Market Size and Forecast, By End User
8.3.9. Italy AI in Wildlife Conservation Monitoring Market
8.3.9.1. Market Size and Forecast, By Technology Type
8.3.9.2. Market Size and Forecast, By Scale Of Implantation
8.3.9.3. Market Size and Forecast, By Application
8.3.9.4. Market Size and Forecast, By End User
8.3.10. Spain AI in Wildlife Conservation Monitoring Market
8.3.10.1. Market Size and Forecast, By Technology Type
8.3.10.2. Market Size and Forecast, By Scale Of Implantation
8.3.10.3. Market Size and Forecast, By Application
8.3.10.4. Market Size and Forecast, By End User
8.3.11. UK AI in Wildlife Conservation Monitoring Market
8.3.11.1. Market Size and Forecast, By Technology Type
8.3.11.2. Market Size and Forecast, By Scale Of Implantation
8.3.11.3. Market Size and Forecast, By Application
8.3.11.4. Market Size and Forecast, By End User
8.3.12. Rest Of Europe AI in Wildlife Conservation Monitoring Market
8.3.12.1. Market Size and Forecast, By Technology Type
8.3.12.2. Market Size and Forecast, By Scale Of Implantation
8.3.12.3. Market Size and Forecast, By Application
8.3.12.4. Market Size and Forecast, By End User
8.4. Asia-Pacific
8.4.1. Key Market Trends and Opportunities
8.4.2. Market Size and Forecast, By Technology Type
8.4.3. Market Size and Forecast, By Scale Of Implantation
8.4.4. Market Size and Forecast, By Application
8.4.5. Market Size and Forecast, By End User
8.4.6. Market Size and Forecast, By Country
8.4.7. China AI in Wildlife Conservation Monitoring Market
8.4.7.1. Market Size and Forecast, By Technology Type
8.4.7.2. Market Size and Forecast, By Scale Of Implantation
8.4.7.3. Market Size and Forecast, By Application
8.4.7.4. Market Size and Forecast, By End User
8.4.8. Japan AI in Wildlife Conservation Monitoring Market
8.4.8.1. Market Size and Forecast, By Technology Type
8.4.8.2. Market Size and Forecast, By Scale Of Implantation
8.4.8.3. Market Size and Forecast, By Application
8.4.8.4. Market Size and Forecast, By End User
8.4.9. India AI in Wildlife Conservation Monitoring Market
8.4.9.1. Market Size and Forecast, By Technology Type
8.4.9.2. Market Size and Forecast, By Scale Of Implantation
8.4.9.3. Market Size and Forecast, By Application
8.4.9.4. Market Size and Forecast, By End User
8.4.10. South Korea AI in Wildlife Conservation Monitoring Market
8.4.10.1. Market Size and Forecast, By Technology Type
8.4.10.2. Market Size and Forecast, By Scale Of Implantation
8.4.10.3. Market Size and Forecast, By Application
8.4.10.4. Market Size and Forecast, By End User
8.4.11. Australia AI in Wildlife Conservation Monitoring Market
8.4.11.1. Market Size and Forecast, By Technology Type
8.4.11.2. Market Size and Forecast, By Scale Of Implantation
8.4.11.3. Market Size and Forecast, By Application
8.4.11.4. Market Size and Forecast, By End User
8.4.12. Rest of Asia-Pacific AI in Wildlife Conservation Monitoring Market
8.4.12.1. Market Size and Forecast, By Technology Type
8.4.12.2. Market Size and Forecast, By Scale Of Implantation
8.4.12.3. Market Size and Forecast, By Application
8.4.12.4. Market Size and Forecast, By End User
8.5. LAMEA
8.5.1. Key Market Trends and Opportunities
8.5.2. Market Size and Forecast, By Technology Type
8.5.3. Market Size and Forecast, By Scale Of Implantation
8.5.4. Market Size and Forecast, By Application
8.5.5. Market Size and Forecast, By End User
8.5.6. Market Size and Forecast, By Country
8.5.7. Latin America AI in Wildlife Conservation Monitoring Market
8.5.7.1. Market Size and Forecast, By Technology Type
8.5.7.2. Market Size and Forecast, By Scale Of Implantation
8.5.7.3. Market Size and Forecast, By Application
8.5.7.4. Market Size and Forecast, By End User
8.5.8. Middle East AI in Wildlife Conservation Monitoring Market
8.5.8.1. Market Size and Forecast, By Technology Type
8.5.8.2. Market Size and Forecast, By Scale Of Implantation
8.5.8.3. Market Size and Forecast, By Application
8.5.8.4. Market Size and Forecast, By End User
8.5.9. Africa AI in Wildlife Conservation Monitoring Market
8.5.9.1. Market Size and Forecast, By Technology Type
8.5.9.2. Market Size and Forecast, By Scale Of Implantation
8.5.9.3. Market Size and Forecast, By Application
8.5.9.4. Market Size and Forecast, By End User
CHAPTER 9: COMPETITIVE LANDSCAPE
9.1. Introduction
9.2. Top Winning Strategies
9.3. Product Mapping Of Top 10 Player
9.4. Competitive Dashboard
9.5. Competitive Heatmap
9.6. Top Player Positioning, 2023
CHAPTER 10: COMPANY PROFILES
10.1. Conservation Metrics Inc.
10.1.1. Company Overview
10.1.2. Key Executives
10.1.3. Company Snapshot
10.1.4. Operating Business Segments
10.1.5. Product Portfolio
10.1.6. Business Performance
10.1.7. Key Strategic Moves and Developments
10.2. Enview Inc
10.2.1. Company Overview
10.2.2. Key Executives
10.2.3. Company Snapshot
10.2.4. Operating Business Segments
10.2.5. Product Portfolio
10.2.6. Business Performance
10.2.7. Key Strategic Moves and Developments
10.3. Google LLC
10.3.1. Company Overview
10.3.2. Key Executives
10.3.3. Company Snapshot
10.3.4. Operating Business Segments
10.3.5. Product Portfolio
10.3.6. Business Performance
10.3.7. Key Strategic Moves and Developments
10.4. IBM Corporation
10.4.1. Company Overview
10.4.2. Key Executives
10.4.3. Company Snapshot
10.4.4. Operating Business Segments
10.4.5. Product Portfolio
10.4.6. Business Performance
10.4.7. Key Strategic Moves and Developments
10.5. Intel Corporation
10.5.1. Company Overview
10.5.2. Key Executives
10.5.3. Company Snapshot
10.5.4. Operating Business Segments
10.5.5. Product Portfolio
10.5.6. Business Performance
10.5.7. Key Strategic Moves and Developments
10.6. Leonardo
10.6.1. Company Overview
10.6.2. Key Executives
10.6.3. Company Snapshot
10.6.4. Operating Business Segments
10.6.5. Product Portfolio
10.6.6. Business Performance
10.6.7. Key Strategic Moves and Developments
10.7. DiCaprio Foundation
10.7.1. Company Overview
10.7.2. Key Executives
10.7.3. Company Snapshot
10.7.4. Operating Business Segments
10.7.5. Product Portfolio
10.7.6. Business Performance
10.7.7. Key Strategic Moves and Developments
10.8. Microsoft Corporation
10.8.1. Company Overview
10.8.2. Key Executives
10.8.3. Company Snapshot
10.8.4. Operating Business Segments
10.8.5. Product Portfolio
10.8.6. Business Performance
10.8.7. Key Strategic Moves and Developments
10.9. NVIDIA Corporation
10.9.1. Company Overview
10.9.2. Key Executives
10.9.3. Company Snapshot
10.9.4. Operating Business Segments
10.9.5. Product Portfolio
10.9.6. Business Performance
10.9.7. Key Strategic Moves and Developments
10.10. Reservoir Labs Inc.
10.10.1. Company Overview
10.10.2. Key Executives
10.10.3. Company Snapshot
10.10.4. Operating Business Segments
10.10.5. Product Portfolio
10.10.6. Business Performance
10.10.7. Key Strategic Moves and Developments
10.11. Wildlife Conservation Society
10.11.1. Company Overview
10.11.2. Key Executives
10.11.3. Company Snapshot
10.11.4. Operating Business Segments
10.11.5. Product Portfolio
10.11.6. Business Performance
10.11.7. Key Strategic Moves and Developments