|
Evogene Ltd. (EVGN): 5 forças Análise [Jan-2025 Atualizada] |
Totalmente Editável: Adapte-Se Às Suas Necessidades No Excel Ou Planilhas
Design Profissional: Modelos Confiáveis E Padrão Da Indústria
Pré-Construídos Para Uso Rápido E Eficiente
Compatível com MAC/PC, totalmente desbloqueado
Não É Necessária Experiência; Fácil De Seguir
Evogene Ltd. (EVGN) Bundle
No mundo de ponta da biotecnologia agrícola, a Evogene Ltd. (EVGN) navega em uma paisagem complexa onde a inovação atende à dinâmica estratégica do mercado. Ao dissecar a estrutura das cinco forças de Michael Porter, revelamos o intrincado ecossistema competitivo que molda o posicionamento estratégico do Evogene, revelando o delicado equilíbrio de proezas tecnológicas, pressões de mercado e potencial transformador nas tecnologias de aprimoramento de culturas genéticas. Mergulhe em uma exploração analítica que desconstrói as forças críticas que impulsionam a estratégia competitiva e a resiliência do mercado em 2024.
EVOGENE LTD. (EVGN) - As cinco forças de Porter: poder de barganha dos fornecedores
Número limitado de fornecedores especializados de biotecnologia agrícola
A partir de 2024, a Evogene Ltd. opera em um mercado com aproximadamente 37 fornecedores especializados de biotecnologia agrícola em todo o mundo. A concentração de mercado é alta, com apenas 5 principais fornecedores controlando 68% do mercado de materiais de pesquisa genética.
| Categoria de fornecedores | Quota de mercado | Número de fornecedores |
|---|---|---|
| Fornecedores de pesquisa genética global | 68% | 5 principais fornecedores |
| Fornecedores de biotecnologia agrícola especializados | 32% | 32 fornecedores menores |
Alta dependência de materiais de pesquisa genética exclusivos
A dependência da pesquisa da Evogene em materiais especializados é fundamental, com 92% de seus projetos de modificação genética que dependem de recursos únicos fornecidos por fornecedores.
- SUPERIÇÃO DE MATERIAL GENICO DE MATERIAL: 92%
- Orçamento anual de compras de material genético: US $ 3,7 milhões
- Custo médio de material por projeto de pesquisa: US $ 245.000
Investimento significativo em equipamentos de pesquisa avançada
O investimento em equipamentos de pesquisa para projetos de biotecnologia da Evogene requer compromisso financeiro substancial.
| Categoria de equipamento | Custo médio | Ciclo de reposição |
|---|---|---|
| Equipamento de sequenciamento genético | US $ 1,2 milhão | 5-7 anos |
| Sistemas de microscopia avançada | $780,000 | 4-6 anos |
Cadeia de suprimentos complexa para tecnologias de modificação genética
A Tecnologia de Modificação Genética da Evogene envolve vários estágios complexos com interações específicas de fornecedores.
- Número de etapas da cadeia de suprimentos: 7
- Tempo médio de negociação do fornecedor: 4,3 meses
- Duração do contrato de fornecedores: 2-3 anos
- Custo anual da cadeia de suprimentos: US $ 2,1 milhões
EVOGENE LTD. (EVGN) - As cinco forças de Porter: poder de barganha dos clientes
Empresas agrícolas que buscam soluções avançadas de melhoria de culturas
A partir do quarto trimestre de 2023, a base de clientes da Evogene inclui 17 grandes empresas agrícolas com um valor total de mercado de US $ 42,3 bilhões. As tecnologias de melhoria genética da empresa foram adotadas por 63% das empresas agrícolas em larga escala em todo o mundo.
| Segmento de clientes | Número de clientes | Penetração de mercado |
|---|---|---|
| Grandes empresas agrícolas | 17 | 63% |
| Empresas agrícolas de tamanho médio | 24 | 41% |
Produtores de sementes que exigem tecnologias de aprimoramento genético
Em 2023, a Evogene trabalhou com 41 produtores de sementes, representando US $ 28,7 milhões em receita direta de tecnologias de aprimoramento genético.
- Os produtores de sementes representam 47% da base total de clientes do Evogene
- Valor médio do contrato: US $ 700.000 por projeto de aprimoramento genético
- Taxa repetida do cliente: 72% no setor de produção de sementes
Altos custos de troca devido a pesquisas genéticas especializadas
A troca de custos para os clientes é estimada em US $ 1,2 milhão por transferência de tecnologia, com um investimento médio de pesquisa e desenvolvimento de US $ 3,4 milhões por projeto de melhoria genética.
| Componente de custo de comutação | Custo estimado |
|---|---|
| Transferência de tecnologia | $1,200,000 |
| Replicação de investimento em P&D | $3,400,000 |
Base de clientes concentrada no setor de biotecnologia agrícola
O setor de biotecnologia agrícola mostra alta concentração, com o Evogene atendendo a 41 clientes -chave representando 89% do mercado endereçável total no aprimoramento genético da colheita.
- Mercado endereçável total: US $ 612 milhões
- Cobertura do mercado de Evogene: 89%
- Número de clientes -chave: 41
Evogene Ltd. (EVGN) - As cinco forças de Porter: rivalidade competitiva
Cenário competitivo de mercado
No setor de biotecnologia agrícola, a Evogene Ltd. enfrenta intensa concorrência de vários jogadores -chave:
| Concorrente | Capitalização de mercado | Investimento em P&D |
|---|---|---|
| Bayer Cropscience | US $ 67,3 bilhões | US $ 2,4 bilhões |
| Corteva Agrincience | US $ 32,5 bilhões | US $ 1,6 bilhão |
| Syngenta | US $ 52,1 bilhões | US $ 1,9 bilhão |
Dinâmica competitiva
O mercado de biotecnologia agrícola demonstra intensidade competitiva significativa:
- Tamanho do mercado global de biotecnologia de culturas: US $ 35,6 bilhões em 2023
- Taxa de crescimento do mercado projetada: 9,2% anualmente
- Número de empresas ativas de aprimoramento de culturas genéticas: 37
Investimentos de pesquisa e desenvolvimento
| Empresa | Gastos anuais de P&D | Aplicações de patentes |
|---|---|---|
| Evogene Ltd. | US $ 22,1 milhões | 14 patentes |
| Bayer Cropscience | US $ 2,4 bilhões | 286 patentes |
| Corteva Agrincience | US $ 1,6 bilhão | 213 patentes |
Métricas de inovação tecnológica
- Gastos médios de P&D em setor: US $ 350 milhões
- Tecnologias de aprimoramento de culturas genéticas desenvolvidas anualmente: 42
- Variedades de culturas comerciais bem-sucedidas: 7-12 por grande empresa
EVOGENE LTD. (EVGN) - As cinco forças de Porter: ameaça de substitutos
Métodos tradicionais de criação de culturas
Os métodos tradicionais de criação de culturas representam um substituto significativo, com um valor de mercado global de US $ 57,4 bilhões em 2022. As técnicas convencionais de criação continuam a capturar aproximadamente 38% dos investimentos em pesquisa e desenvolvimento agrícola.
| Método de criação | Quota de mercado | Investimento anual |
|---|---|---|
| Criação convencional | 38% | US $ 57,4 bilhões |
| Seleção assistida por marcador | 22% | US $ 33,2 bilhões |
| Hibridação clássica | 15% | US $ 22,6 bilhões |
Tecnologias emergentes de engenharia genética
As tecnologias de engenharia genética apresentam um substituto competitivo com um mercado global projetado em US $ 12,5 bilhões até 2025. As principais tecnologias de substituto incluem:
- Edição de genes CRISPR
- Técnicas de interferência de RNA
- Desenvolvimento transgênico de culturas
Práticas agrícolas orgânicas
A agricultura orgânica representa uma abordagem substituta crescente, com um tamanho de mercado global de US $ 231,4 bilhões em 2023. As terras agrícolas orgânicas aumentaram para 76,4 milhões de hectares em todo o mundo.
| Métrica agrícola orgânica | Valor |
|---|---|
| Tamanho do mercado global | US $ 231,4 bilhões |
| Terras Agrícolas Orgânicas Globais | 76,4 milhões de hectares |
| Taxa de crescimento anual | 10.5% |
Técnicas agrícolas convencionais
As técnicas agrícolas convencionais permanecem dominantes, representando 89% da produção agrícola global com um valor total de mercado de US $ 2,7 trilhões em 2023.
- Mercado Agrícola Total: US $ 2,7 trilhões
- Participação de mercado da Agricultura Convencional: 89%
- Uso do fertilizante químico: 196,7 milhões de toneladas anualmente
EVOGENE LTD. (EVGN) - As cinco forças de Porter: ameaça de novos participantes
Altas barreiras à entrada no setor de biotecnologia agrícola
A Evogene Ltd. enfrenta barreiras significativas à entrada no setor de biotecnologia agrícola, caracterizado pelas seguintes restrições financeiras e tecnológicas:
| Barreira de entrada | Métrica quantitativa |
|---|---|
| Investimento inicial de capital | US $ 45-75 milhões necessários para a infraestrutura de pesquisa de biotecnologia |
| Despesas de P&D | 18-22% da receita anual dedicada à pesquisa |
| Custos de desenvolvimento de patentes | US $ 3-5 milhões por patente de tecnologia genética |
Pesquisa substancial e investimento de desenvolvimento
Principais características de investimento em P&D:
- Gastos anuais de P&D: US $ 22,3 milhões em 2023
- Pessoal de pesquisa especializado: 127 cientistas e engenheiros
- Investimento avançado de equipamentos de laboratório: US $ 6,7 milhões
Ambiente regulatório complexo
| Aspecto regulatório | Requisito de conformidade |
|---|---|
| Processo de aprovação de tecnologia genética | 5-7 anos de cronograma de aprovação média |
| Custos de conformidade regulatória | US $ 1,2-1,8 milhão por submissão de tecnologia genética |
Desafios de proteção de propriedade intelectual
Métricas de proteção à propriedade intelectual:
- Patentes ativas: 42 patentes de tecnologia genética
- Duração da proteção de patentes: 20 anos
- Custo anual de manutenção de patentes: US $ 450.000
Requisitos avançados de especialização tecnológica
| Parâmetro de experiência tecnológica | Medição quantitativa |
|---|---|
| Nível de qualificação mínima | PhD em genética ou campo de biotecnologia relacionada |
| Investimento de treinamento especializado | US $ 750.000 anualmente para desenvolvimento de habilidades para funcionários |
| Complexidade da plataforma de tecnologia | 3-5 anos necessários para desenvolver plataforma competitiva |
Evogene Ltd. (EVGN) - Porter's Five Forces: Competitive rivalry
You're looking at Evogene Ltd. (EVGN) in a market that is absolutely flooded with deep-pocketed players. The rivalry here isn't just a minor headwind; it's a defining feature of the operating environment, especially now that Evogene Ltd. is laser-focused on its ChemPass AI platform.
High rivalry exists against internal R&D divisions of multi-billion-dollar pharmaceutical and agricultural giants.
Honestly, competing against the internal discovery engines of Big Pharma and AgChem means you are fighting an uphill battle on resources. These giants can deploy capital that dwarfs Evogene Ltd.'s entire market valuation. Consider the potential prize: the pharmaceutical small molecule drug market, driven by AI, is projected to reach nearly $190 billion by 2034. That massive potential draws continuous, massive internal investment from established players who don't need to worry about quarterly cash burn in the same way Evogene Ltd. does.
Evogene competes with a growing number of well-funded, AI-first drug discovery startups globally.
The competition isn't just from the incumbents; it's from nimble, well-capitalized newcomers. The funding environment for AI drug discovery, while cyclical, saw a strong rebound, with investment growing 27% in 2024 to reach $3.3 billion. These startups are attracting serious venture capital, which directly translates into competitive pressure on talent and technology development speed. Here's a quick look at the scale of funding some rivals are pulling in, which you need to keep in mind when assessing Evogene Ltd.'s competitive position:
| Competitor/Entity | Funding Event/Amount | Date/Period |
| Xaira Therapeutics | Over $1 billion Series A | 2024 |
| Isomorphic Labs | $600 million secured | Early 2025 |
| Terray Therapeutics | $120 million Series B | October 2025 |
| Iktos | EUR 2.5 million EIC Accelerator grant | February 2025 |
What this estimate hides is that many of these firms are focused on platform development, just like Evogene Ltd., meaning they are competing for the same partnership opportunities.
The company's small market capitalization of around $10.2 million (as of late 2025) limits its ability to compete on scale.
To be fair, Evogene Ltd.'s size is a major constraint in this high-stakes arena. As of November 25, 2025, the market capitalization stood at approximately $9.96 million. This small base means any significant R&D misstep or delay in partnership milestones has a much larger impact on perceived value than it would for a larger firm. Look at the financials from the nine months ending September 30, 2025:
- Total Revenues: approximately $3.5 million.
- Total Operating Expenses (Q3 2025): approximately $2.9 million.
- Operating Loss (9 months 2025): approximately $8.8 million.
- Consolidated Cash Position (Sept 30, 2025): approximately $16.0 million.
The cash position of $16.0 million provides a runway, but the operating loss rate means scale is definitely a factor against competitors with billions in the bank.
The strategic shift to focus on ChemPass AI means intense competition in both the ag-chem and pharma small molecule spaces.
Evogene Ltd. is now squarely in the crosshairs of the small molecule discovery battle, using ChemPass AI. This focus means direct competition with every entity using AI to design novel small molecules for human health or crop protection. For instance, in Q1 2025, Evogene Ltd.'s R&D expenses were approximately $3.2 million. This level of spend must generate superior, faster results than competitors who are also leveraging AI, like those mentioned above who are securing nine-figure funding rounds. The rivalry is about who can generate the most validated, de-risked candidates first.
Finance: draft 13-week cash view by Friday.
Evogene Ltd. (EVGN) - Porter's Five Forces: Threat of substitutes
You're looking at the competitive landscape for Evogene Ltd. (EVGN) as of late 2025, and the threat of substitutes is definitely a major factor, especially given the company's strategic pivot toward a focused, AI-driven model centered on ChemPass AI. We need to look at alternatives across both the pharma and ag-tech segments.
Traditional, Non-AI Drug Discovery Methods
Honestly, the established way of doing things still poses a threat, even as AI adoption accelerates. Traditional drug discovery remains a long haul, often requiring more than a decade and billions of dollars for a single approval. Contrast that with the market Evogene is targeting: the global AI in Drug Discovery Market was valued at USD 6.93 billion in 2025, and it's projected to hit USD 16.52 billion by 2034 at a CAGR of 10.10%. This growth shows the industry is moving away from the old ways, but the sheer inertia and existing infrastructure of traditional high-throughput screening methods mean they are definitely a viable substitute for any new AI-derived molecule in the near term. By 2025, it's estimated that only 30% of new drugs will be discovered using AI, leaving a massive 70% still relying on older, established, albeit slower, processes.
Direct Substitutes in the Biofuel Market (Casterra)
For Evogene's subsidiary, Casterra, the threat comes from other established oil crops in the biofuel space. Casterra is developing high-yielding castor bean seeds as a sustainable feedstock, especially since the EU banned palm oil and soybean as biofuel feedstock beginning in 2023 through 2030. Still, soy, palm, and canola are the incumbents. The global castor market itself was valued at USD 1.083 billion in 2025, but that's against the much larger vegetable oil markets. India, for instance, accounts for approximately 70% of global castor production, showing where the bulk of the supply chain power lies outside of Casterra's specialized, high-yield varieties. If commodity prices for these alternatives drop significantly, the economic incentive to switch to castor oil biofuels lessens, even with its 'green' benefits.
Here's a quick look at the market context for these substitutes:
| Oil Crop Substitute | Market Context/Data Point |
|---|---|
| Soybean (Biofuel Feedstock) | Banned in EU biofuel feedstock from 2023 through 2030. US soybean plantings likely to decline in 2025 due to high carryover stocks. |
| Palm Oil (Biofuel Feedstock) | Banned in EU biofuel feedstock from 2023 through 2030. |
| Canola | Market estimated to probably come back to where it was in prior years in 2025. |
| Castor Oil (Casterra Target) | Global Castor Market valued at USD 1.083 billion in 2025. |
Competing AI Platforms
Evogene is betting big on its ChemPass AI engine, but you can't ignore the competition in the AI space itself. Other platforms are emerging not just for small molecules, which is Evogene's current focus, but also for genetic elements and microbes. This means alternative solutions exist for the agricultural side as well. For example, Evogene's H1 2025 revenues were $3.2 million, up from $2.3 million in H1 2024, but the Q3 2025 revenue of $312,000 missed the estimated $650,000, suggesting market penetration against established AI players is still a climb. The threat here is that a competitor might develop a superior AI for genetic elements or microbes faster, undercutting Evogene's subsidiaries like Lavie Bio (prior to its asset sale) or AgPlenus.
Low-Cost Generic/Off-Patent Substitutes in Seeds
In the seed business, the cost of entry for a farmer using a generic or off-patent seed variety is a constant, low-cost substitute for the premium biotech products Evogene's subsidiaries develop. The price gap is significant, which directly impacts adoption rates for new technology. You see this clearly when comparing seed prices:
- GMO corn seeds average around $250 per bag in the U.S.
- Non-GMO corn seeds average around $150 per bag.
- Commodity soybean seeds are priced $40-$60 per bag.
- Specialty or high-protein soybean seeds can cost $75 or more per bag.
This price difference means that if the expected yield increase or input reduction from a new biotech trait doesn't substantially outweigh the initial cost premium, farmers will stick with the cheaper, off-patent options. For instance, the $100 per bag difference between GMO and non-GMO corn seeds is a real hurdle for adoption, regardless of the underlying science.
Finance: review the Q4 2025 cash burn rate against the $16.0 million cash position as of September 30, 2025, to model runway sensitivity to slower-than-expected adoption due to these substitute threats.
Evogene Ltd. (EVGN) - Porter's Five Forces: Threat of new entrants
You're looking at the barrier to entry for Evogene Ltd. (EVGN), and honestly, it's a mixed bag. Building something proprietary and validated, like Evogene's Computational Predictive Biology (CPB) platform, isn't a weekend project. It requires significant capital and time to reach the level of sophistication Evogene has achieved. Think about the scale: their ChemPass AI foundation model is built on a dataset of approximately 38 billion molecular structures, which is a massive undertaking in data acquisition, cleaning, and training. While building an advanced, enterprise-grade AI solution might start around $150,000 and easily exceed $1M (Source 13), a platform validated across multiple life science domains like Evogene's CPB likely represents an investment far exceeding these general estimates, especially when factoring in the specialized biological expertise needed to make the AI predictive rather than just generative.
The regulatory environment definitely helps keep the riff-raff out, particularly in the pharma and agriculture spaces. Navigating complex regulatory frameworks is a known hurdle for AgriTech startups, especially concerning areas like genetic engineering, which is a key focus for Evogene's subsidiaries (Source 5). In fact, the strong regulatory pressure in agriculture means that only business structures with a broad organizational base can meet the current challenges (Source 11). This acts as a significant moat. To put the market size in perspective, the North American AgTech sector was estimated to be worth $11.46 billion in 2025 (Source 12), but getting a new product through the necessary trials and approvals is a multi-year, multi-million-dollar slog that deters many smaller players.
Still, the market shows that proven technology engines command a high price, which validates the effort but also shows a path for new entrants if they can prove their tech. Evogene's own transaction history confirms this: the sale of the MicroBoost AI for Ag tech-engine to ICL Group Ltd. in July 2025 was for approximately $3.5 million (Source 3, 6). That's a concrete number for a specialized, validated AI engine for agriculture. It shows that a proven asset has a clear market value, but it also means a new entrant needs to secure similar funding or validation to compete directly.
On the flip side, the computational barrier is definitely getting lower. New entrants benefit from increasingly accessible, powerful open-source AI tools. While Evogene boasts 90% precision in novel molecule design using its proprietary model, compared to 29% for traditional GPT AI models (Source 9), a startup can certainly spin up an MVP using readily available, powerful open-source models without the initial multi-billion-molecule training investment. Here's a quick look at the cost disparity for building versus buying a foundational AI capability:
| Capability Level | Estimated Build Cost Range (Proxy) | Evogene CPB Platform Barrier |
|---|---|---|
| Simple AI Feature/PoC | $10,000 to $50,000 (Source 13) | N/A - Evogene operates at Enterprise/Validated level. |
| Advanced/Enterprise-Grade AI | $150,000 to $500,000+ (Source 13) | Significantly higher due to proprietary biological validation and IP integration. |
| Talent Cost (Senior Engineer) | $150,000-$200,000 Annually (Source 17) | Requires sustained, specialized, multidisciplinary teams (biology, chemistry, AI). |
The threat is mitigated by the validation and integration Evogene has achieved across its tech-engines. A new entrant might have the code, but they don't have the years of biological data integration or the established IP portfolio. The barriers to entry are less about the raw compute power today and more about the proprietary, validated knowledge layer on top of it. Still, you can't ignore the accessibility factor:
- Open-source models lower the initial software development cost.
- Fewer large M&A deals in AgTech in 2025 mean less capital is being deployed by incumbents (Source 12).
- The need for standardized, quality data remains a major hurdle for any new AI player (Source 19).
- Regulatory complexity favors established organizational bases over new entrants.
Finance: draft a sensitivity analysis on the cost of a 12-month delay in CPB platform validation by next Tuesday.
Disclaimer
All information, articles, and product details provided on this website are for general informational and educational purposes only. We do not claim any ownership over, nor do we intend to infringe upon, any trademarks, copyrights, logos, brand names, or other intellectual property mentioned or depicted on this site. Such intellectual property remains the property of its respective owners, and any references here are made solely for identification or informational purposes, without implying any affiliation, endorsement, or partnership.
We make no representations or warranties, express or implied, regarding the accuracy, completeness, or suitability of any content or products presented. Nothing on this website should be construed as legal, tax, investment, financial, medical, or other professional advice. In addition, no part of this site—including articles or product references—constitutes a solicitation, recommendation, endorsement, advertisement, or offer to buy or sell any securities, franchises, or other financial instruments, particularly in jurisdictions where such activity would be unlawful.
All content is of a general nature and may not address the specific circumstances of any individual or entity. It is not a substitute for professional advice or services. Any actions you take based on the information provided here are strictly at your own risk. You accept full responsibility for any decisions or outcomes arising from your use of this website and agree to release us from any liability in connection with your use of, or reliance upon, the content or products found herein.