研判2025！中国分子育种行业发展背景、发展历程、市场现状及未来趋势分析：受益于政策、技术等多重利好因素，市场规模大幅增长，行业发展前景广阔[图]

Core Insights - China is the world's second-largest seed demand country, but the trend of de-globalization is shifting global industrial chain layouts from "efficiency first" to "safety first," creating uncertainty in international trade [1][8] - The Chinese government places high importance on seed industry development, emphasizing the need for self-sufficiency in seed sources and technological independence [1][8] - Molecular breeding technology is seen as a key solution to address challenges in the seed industry and promote rural revitalization [1][8] Molecular Breeding Industry Overview - Molecular breeding, also known as gene engineering breeding, involves manipulating DNA at the molecular level to create new varieties with desired traits [2][3] - The industry is supported by various government policies, including the "14th Five-Year Plan for Bioeconomic Development" and the "Plan for Accelerating the Construction of an Agricultural Power" [9][10] Market Status - The market size of China's molecular breeding industry is projected to grow from 700 million yuan in 2020 to 3 billion yuan in 2024, with a compound annual growth rate (CAGR) of 43.9% [11] - By 2024, molecular marker-assisted breeding is expected to dominate the market with a 70% share, followed by transgenic technology at 20% and gene editing technology at approximately 10% [11][12] Development Background - China's seed industry faces significant challenges, including reliance on foreign sources for high-end seed varieties and competition from multinational seed companies [7][8] - The government has intensified support for breeding work, focusing on developing original breeding technologies and improving research and commercialization integration [9][10] Future Trends - The molecular breeding industry is expected to reach a market size of 20 billion yuan by 2029, driven by advancements in gene editing and sequencing technologies [15][16] - The integration of molecular breeding with big data and artificial intelligence is anticipated to enhance breeding precision and efficiency [15][16]