3 surprising market winners in 2025
Investors brave enough to peek at their account statements know that it's been a rocky 2025.
Even before tariff-related volatility, DeepSeek AI's launch clouded the major technology theme that powered the market in 2023 and 2024, as AI stocks entered a bear market in March.
But there have been equity gains to be had in 2025. When I look at year-to-date returns across indexes , I notice a few surprising stars: European stocks, Latin America, and real estate investment trusts.
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The Global Smart Agriculture Market, valued at USD 15.9 billion in 2025, will grow at a CAGR of 11.8% to reach USD 43.3 billion by 2034. Driven by IoT, AI, and robotics, the market enhances farm productivity and sustainability, addressing global food demand, climate change, and labor shortages. Smart Agriculture Market Dublin, June 23, 2025 (GLOBE NEWSWIRE) -- The "Smart Agriculture Market Size, Share, Trends, Analysis, and Forecast 2025-2034 | Global Industry Growth, Competitive Landscape, Opportunities, and Challenges" has been added to offering. The global Smart Agriculture market, valued at USD 15.9 billion in 2025, is projected to expand at a CAGR of 11.8%, reaching USD 43.3 billion by 2034 This dynamic sector harnesses digital technologies to optimize farming productivity, sustainability, and resource efficiency. By integrating IoT, AI, drones, sensors, robotics, and data analytics, smart agriculture enhances decision-making, automates processes, and allows real-time soil and crop condition monitoring. This technology-driven approach enables farmers to reduce waste, cut costs, and boost yields. Smart agriculture addresses growing food demands while minimizing environmental impacts through precision farming, automated machinery, and VRT. Applications span livestock tracking, greenhouse automation, vertical farming, and satellite crop imaging. Challenges like climate change, shrinking arable land, and labor shortages propel innovation, making smart agriculture essential for modernizing traditional practices and securing future food systems. In 2024, the smart agriculture market saw significant momentum, influenced by government initiatives, heightened investments in agri-tech startups, and supply chain challenges. Precision irrigation systems, soil health sensors, and drone-assisted crop monitoring experienced widespread adoption, notably in North America, Europe, and Asia-Pacific. AI-powered predictive tools forecasted crop yields and detected pests, enabling proactive farmer interventions. Agri-tech companies launched smart greenhouse platforms with automated climate control and AI-directed nutrient dosing, enhancing controlled environment outputs. Public-private partnerships initiated pilot programs in developing economies, focusing on farmer education and subsidizing IoT equipment to boost adoption. Carbon monitoring and sustainability tools integrated into farm management software gained traction as food producers tracked emissions, soil health, and regenerative practices, aligning with global ESG standards. The trend is moving from fragmented solutions towards integrated, scalable data-driven platforms. By 2025 and beyond, the smart agriculture market will deepen its digital economy integration with climate resilience, food traceability, and autonomous operations. Advances in edge computing and 5G will enable faster data processing on farms, supporting real-time analytics for tasks like livestock monitoring, pesticide application, and irrigation scheduling. Autonomous tractors and robotic harvesters will expand beyond trials. Blockchain technology's role will grow in ensuring supply chain transparency, verifying sourcing practices, and monitoring product quality. Further global efforts to cut agriculture's environmental footprint will propel carbon-smart farming solutions, including platforms monetizing regenerative practices via carbon credits. Governments are likely to offer stronger incentives for smart agriculture, especially in climate-prone regions. Agri-tech firms will focus on modular platforms adaptable to diverse crops, languages, and farming scales. As farms become more connected, data-rich, and autonomous, smart agriculture is vital to achieving sustainable, high-output, resilient food systems. Key Trends in the Smart Agriculture Market Rise of AI-Driven Decision Support Tools: Advanced AI algorithms for forecasting, pest prediction, and optimal planting schedules enhance real-time decision-making. Expansion of Precision Livestock Farming: Automated systems for health monitoring and reproductive tracking improve dairy and poultry operations. Growth of Carbon-Smart Farming Solutions: Platforms aiding in emissions reduction and carbon sequestration gain momentum, aligning agriculture with ESG goals. Proliferation of Connected Greenhouses: AI and IoT-equipped greenhouses automate resource allocation based on growth patterns. Integration of Blockchain for Food Traceability: Blockchain enhances transparency, fraud reduction, and sustainability verification. Key Drivers of the Smart Agriculture Market Growing Global Food Demand: Population growth and dietary changes push farmers towards technology-driven practices. Climate Change and Resource Scarcity: Unpredictable weather and resource limitations drive precision technology adoption. Government Support and Agri-Tech Funding: Incentives and partnerships boost technology development and implementation. Labor Shortages in Agriculture: Automation becomes essential to maintain productivity amid workforce declines. Key Challenge in the Smart Agriculture Market High Cost and Technical Barriers for Smallholders: Many small farmers face hurdles in investment, literacy, and infrastructure, limiting widespread adoption. 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Attachment Smart Agriculture Market CONTACT: CONTACT: Laura Wood,Senior Press Manager press@ For E.S.T Office Hours Call 1-917-300-0470 For U.S./ CAN Toll Free Call 1-800-526-8630 For GMT Office Hours Call +353-1-416-8900Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data
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