{"id":4651,"date":"2025-12-29T03:01:25","date_gmt":"2025-12-29T03:01:25","guid":{"rendered":"https:\/\/www.diagrams-ai.com\/pt\/mastering-strategic-analysis-a-comprehensive-guide-to-porters-five-forces-canvas\/"},"modified":"2025-12-29T03:01:25","modified_gmt":"2025-12-29T03:01:25","slug":"mastering-strategic-analysis-a-comprehensive-guide-to-porters-five-forces-canvas","status":"publish","type":"post","link":"https:\/\/www.diagrams-ai.com\/pt\/mastering-strategic-analysis-a-comprehensive-guide-to-porters-five-forces-canvas\/","title":{"rendered":"Domine a An\u00e1lise Estrat\u00e9gica: Um Guia Completo para a Matriz das Cinco For\u00e7as de Porter"},"content":{"rendered":"<p>No cen\u00e1rio complexo dos neg\u00f3cios modernos, compreender o seu ambiente competitivo n\u00e3o \u00e9 apenas uma vantagem \u2014 \u00e9 uma necessidade. Seja voc\u00ea um fundador de startup procurando pontos de entrada no mercado ou um executivo corporativo analisando mudan\u00e7as na ind\u00fastria, ter um quadro estruturado para avaliar lucratividade e concorr\u00eancia \u00e9 essencial. \u00c9 aqui que o <strong>Quadro das Cinco For\u00e7as de Porter<\/strong> torna-se indispens\u00e1vel.<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/canvas.visual-paradigm.com\/wp-content\/uploads\/2025\/10\/Porters-Five-Forces-Canvas-layout-1024x540.png\"\/><\/p>\n<p>Este guia abrangente explora a mec\u00e2nica do <a href=\"https:\/\/www.visual-paradigm.com\/features\/strategic-analysis-tools\/\">an\u00e1lise estrat\u00e9gica da ind\u00fastria<\/a>, define os componentes centrais do quadro das Cinco For\u00e7as e demonstra como ferramentas modernas como o Visual Paradigm Online aproveitam a Intelig\u00eancia Artificial para transformar diagramas est\u00e1ticos em ativos estrat\u00e9gicos din\u00e2micos.<\/p>\n<h2>Conceitos Principais: Compreendendo o Quadro das Cinco For\u00e7as<\/h2>\n<p>Antes de mergulhar na execu\u00e7\u00e3o, \u00e9 essencial compreender os elementos fundamentais do quadro de Michael Porter. Esta ferramenta foi projetada para analisar a estrutura competitiva de uma ind\u00fastria, a fim de determinar sua &#8216;atratividade&#8217; corporativa e seu potencial de lucratividade.<\/p>\n<h3>1. Rivalidade Competitiva<\/h3>\n<p>Esta for\u00e7a mede a intensidade da concorr\u00eancia dentro da ind\u00fastria. Uma alta rivalidade limita a capacidade das empresas de definir pre\u00e7os e alcan\u00e7ar altos lucros. Fatores que influenciam isso incluem o n\u00famero de concorrentes, a taxa de crescimento da ind\u00fastria e as barreiras \u00e0 sa\u00edda.<\/p>\n<h3>2. Amea\u00e7a de Novos Entrantes<\/h3>\n<p>Isso se refere \u00e0 facilidade com que novos concorrentes podem entrar no mercado. Se as barreiras \u00e0 entrada (como requisitos de capital, regulamenta\u00e7\u00f5es ou lealdade \u00e0 marca) forem baixas, a amea\u00e7a ser\u00e1 alta, o que pode for\u00e7ar as empresas existentes a manterem pre\u00e7os baixos e investirem pesadamente na reten\u00e7\u00e3o.<\/p>\n<h3>3. Poder de Negocia\u00e7\u00e3o dos Fornecedores<\/h3>\n<p>Os fornecedores exercem poder elevando pre\u00e7os ou reduzindo a qualidade de bens e servi\u00e7os. Fornecedores fortes podem reduzir a lucratividade de uma ind\u00fastria que n\u00e3o consegue repassar aumentos de custo em seus pr\u00f3prios pre\u00e7os. O poder \u00e9 alto quando h\u00e1 poucos fornecedores ou quando os custos de mudan\u00e7a s\u00e3o elevados.<\/p>\n<h3>4. Poder de Negocia\u00e7\u00e3o dos Compradores<\/h3>\n<p>Os clientes podem for\u00e7ar a redu\u00e7\u00e3o de pre\u00e7os, exigir melhor qualidade ou mais servi\u00e7os e colocar concorrentes uns contra os outros \u2014 tudo isso \u00e0s custas dos lucros da ind\u00fastria. O poder do comprador aumenta quando h\u00e1 poucos compradores ou quando eles compram em grandes volumes.<\/p>\n<h3>5. Amea\u00e7a de Produtos Substitutos<\/h3>\n<p>Um produto substituto \u00e9 aquele que atende \u00e0 mesma necessidade do produto da ind\u00fastria, mas de forma diferente. A presen\u00e7a de produtos substitutos pr\u00f3ximos imp\u00f5e um teto sobre pre\u00e7os e lucros. Se os custos de mudan\u00e7a forem baixos, a amea\u00e7a ser\u00e1 significativa.<\/p>\n<h2>VP AI: Como o AI do Visual Paradigm Melhora a An\u00e1lise Estrat\u00e9gica<\/h2>\n<p>A planejamento estrat\u00e9gico tradicional envolve frequentemente sess\u00f5es manuais de brainstorming que podem ser desorganizadas e demoradas. O Visual Paradigm Online integra capacidades avan\u00e7adas de IA diretamente no <a href=\"https:\/\/www.visual-paradigm.com\/features\/analysis-canvas-tool\/\">Toolkit de Canvas<\/a> para automatizar e aprimorar esse processo.<\/p>\n<p><img alt=\"\" decoding=\"async\" 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\"\/><\/p>\n<h3>Cria\u00e7\u00e3o de Canvas com Intelig\u00eancia Artificial<\/h3>\n<p>Come\u00e7ar a partir de uma p\u00e1gina em branco \u00e9 frequentemente a parte mais dif\u00edcil da estrat\u00e9gia. Com o <a href=\"https:\/\/online.visual-paradigm.com\/diagrams\/features\/strategic-analysis-tool\/\">criador de canvas com IA<\/a>, voc\u00ea pode simplesmente esbo\u00e7ar sua ideia b\u00e1sica de ind\u00fastria ou neg\u00f3cio. A IA gerar\u00e1 automaticamente um quadro estruturado e repleto de insights sobre as Cinco For\u00e7as de Porter. Isso estabelece uma base imediata para o desenvolvimento eficaz de estrat\u00e9gias, economizando horas de formata\u00e7\u00e3o manual e pesquisas iniciais.<\/p>\n<h3>Melhoria Inteligente de Ideias<\/h3>\n<p>Bloqueios criativos podem paralisar a an\u00e1lise. O assistente de idea\u00e7\u00e3o com IA atua como um consultor digital, fornecendo entradas inteligentes e baseadas no contexto para cada segmento do canvas. Seja voc\u00ea com dificuldades em identificar barreiras de entrada obscuras ou amea\u00e7as sutis dos fornecedores, a IA sugere \u00e2ngulos inovadores e amplia seus pensamentos iniciais, garantindo uma an\u00e1lise mais abrangente.<\/p>\n<h3>Insights Estrat\u00e9gicos Avan\u00e7ados com IA<\/h3>\n<p>Os dados devem orientar a estrat\u00e9gia. Al\u00e9m de preencher apenas caixas, o Visual Paradigm permite que voc\u00ea realize an\u00e1lises aprofundadas em sua matriz conclu\u00edda. Voc\u00ea pode realizar verifica\u00e7\u00f5es cruzadas instantaneamente, como <a href=\"https:\/\/online.visual-paradigm.com\/diagrams\/features\/swot-analysis-tool\/\">an\u00e1lise SWOT<\/a> (For\u00e7as, Fraquezas, Oportunidades, Amea\u00e7as) ou <a href=\"https:\/\/guides.visual-paradigm.com\/ai-powered-scenario-analysis-software-for-strategic-business-planning\/\">avalia\u00e7\u00f5es de viabilidade de mercado<\/a> com base nos dados da sua matriz de Cinco For\u00e7as. Isso permite que voc\u00ea valide suposi\u00e7\u00f5es e descubra novas oportunidades de crescimento com precis\u00e3o algor\u00edtmica.<\/p>\n<h2>Diretrizes: Implementa\u00e7\u00e3o Passo a Passo<\/h2>\n<p>Para maximizar o valor da matriz de Cinco For\u00e7as de Porter, siga esta abordagem estruturada para passar da observa\u00e7\u00e3o para uma estrat\u00e9gia acion\u00e1vel.<\/p>\n<h3>Passo 1: Defina o Escopo da Ind\u00fastria<\/h3>\n<p>Seja espec\u00edfico sobre a ind\u00fastria que est\u00e1 analisando. Por exemplo, voc\u00ea est\u00e1 analisando a &#8220;Ind\u00fastria Global de Fast Food&#8221; ou o &#8220;mercado local de fast-casual org\u00e2nico&#8221;? Um escopo vago leva a insights dilu\u00eddos.<\/p>\n<h3>Passo 2: Avalie Cada For\u00e7a Individualmente<\/h3>\n<p>Trabalhe sistematicamente pelas cinco se\u00e7\u00f5es da matriz. N\u00e3o basta listar fatores; avalie o <strong>fortaleza<\/strong> de cada for\u00e7a (Baixa, M\u00e9dia, Alta). <br \/><strong>Exemplo:<\/strong> Na Ind\u00fastria de Carona Compartilhada, a amea\u00e7a de substitutos pode ser &#8216;M\u00e9dia&#8217; devido ao transporte p\u00fablico, enquanto a rivalidade \u00e9 &#8216;Alta&#8217; devido aos pre\u00e7os agressivos entre os principais players.<\/p>\n<h3>Passo 3: Identifique os Motores Estruturais<\/h3>\n<p>Para cada for\u00e7a, pergunte &#8216;Por qu\u00ea?&#8217;. Liste os motores subjacentes. Se o poder do fornecedor \u00e9 alto, \u00e9 porque eles det\u00eam uma patente? Se o poder do comprador \u00e9 alto, \u00e9 porque o produto \u00e9 uma commodity?<\/p>\n<h3>Passo 4: Analise as Interconex\u00f5es<\/h3>\n<p>Procure rela\u00e7\u00f5es entre as for\u00e7as. A alta rivalidade leva a uma guerra de pre\u00e7os que aumenta o poder do comprador? Uma nova tecnologia aumenta a amea\u00e7a de substitutos ao mesmo tempo em que reduz as barreiras de entrada?<\/p>\n<h3>Passo 5: Formule a Estrat\u00e9gia<\/h3>\n<p>Use as insights para determinar sua posi\u00e7\u00e3o estrat\u00e9gica. Voc\u00ea consegue se posicionar onde as for\u00e7as s\u00e3o mais fracas? Consegue explorar mudan\u00e7as nas for\u00e7as? Use a matriz para decidir se deve se diferenciar, focar em uma nicho ou liderar em custo.<\/p>\n<h2>Dicas e Truques para Otimiza\u00e7\u00e3o<\/h2>\n<p>Aproveite estas pr\u00e1ticas recomendadas e recursos espec\u00edficos da ferramenta para obter o m\u00e1ximo de suas sess\u00f5es de planejamento estrat\u00e9gico.<\/p>\n<ul>\n<li><strong>Utilize o Modo Foco:<\/strong> Ao lidar com ind\u00fastrias complexas, a matriz pode ficar cheia de informa\u00e7\u00f5es. Use o <em>Modo Foco<\/em> para mergulhar profundamente em uma \u00fanica se\u00e7\u00e3o (por exemplo, Poder do Fornecedor) sem distra\u00e7\u00f5es, permitindo detalhes mais ricos e concentra\u00e7\u00e3o.<\/li>\n<li><strong>Colabore em Tempo Real:<\/strong> A estrat\u00e9gia n\u00e3o deve ser uma tarefa solit\u00e1ria. Convide os interessados para a matriz e use o cron\u00f4metro integrado para realizar sprints de brainstorming focados. Isso garante que perspectivas diversas sejam capturadas.<\/li>\n<li><strong>Link com Outros Frameworks:<\/strong> As Cinco For\u00e7as n\u00e3o existem em um v\u00e1cuo. Use a ferramenta para vincular seus achados a um <a href=\"https:\/\/board.visual-paradigm.com\/templates\/pestle-analysis\">An\u00e1lise PESTLE<\/a> (para entender fatores macro externos) ou um Canvas de Proposta de Valor para ver como seu produto contrap\u00f5e amea\u00e7as espec\u00edficas da ind\u00fastria.<\/li>\n<li><strong>Exportar para Stakeholders:<\/strong> N\u00e3o deixe sua estrat\u00e9gia no navegador. Use as op\u00e7\u00f5es profissionais de exporta\u00e7\u00e3o para converter seu canvas e relat\u00f3rios de an\u00e1lise com IA em formatos Word, Markdown ou PDF. Isso \u00e9 crucial para apresentar os resultados a investidores ou membros do conselho.<\/li>\n<li><strong>Atualiza\u00e7\u00f5es Regulares:<\/strong> As ind\u00fastrias evoluem. Trate seu Canvas das Cinco For\u00e7as de Porter como um documento vivo. Revise-o trimestralmente para ajustar-se a novas regulamenta\u00e7\u00f5es, tecnologias ou concorrentes.<\/li>\n<\/ul>\n<div>\n<div class=\"cl-preview-section\" style='color: rgba(0, 0, 0, 0.75); font-family: Lato, \"Helvetica Neue\", Helvetica, sans-serif; font-size: 18px; font-variant-ligatures: common-ligatures; background-color: rgb(243, 243, 243);'>\n<h2 id=\"resource\" style=\"margin-top: 0px; margin-bottom: 1.8em; line-height: 1.33;\">Recurso<\/h2>\n<\/div>\n<div class=\"cl-preview-section\" style='color: rgba(0, 0, 0, 0.75); font-family: Lato, \"Helvetica Neue\", Helvetica, sans-serif; font-size: 18px; font-variant-ligatures: common-ligatures; background-color: rgb(243, 243, 243);'>\n<ul style=\"margin-top: 1.2em; margin-bottom: 1.2em; margin-left: 0px;\">\n<li>\n<p style=\"margin-top: 1.2em; margin-bottom: 1.2em;\"><a href=\"https:\/\/www.archimetric.com\/what-is-the-business-model-canvas-why-use-visual-paradigms-ai-bmc-tool\/\" style=\"background-color: transparent; color: rgb(12, 147, 228);\">O que \u00e9 o Canvas do Modelo de Neg\u00f3cio? Por que usar paradigmas visuais e ferramentas de IA<\/a>: Este guia abrangente explica o Canvas do Modelo de Neg\u00f3cio, seus componentes principais e como paradigmas visuais e ferramentas com IA aprimoram a planejamento estrat\u00e9gico e a inova\u00e7\u00e3o empresarial.<\/p>\n<\/li>\n<li>\n<p style=\"margin-top: 1.2em; margin-bottom: 1.2em;\"><a href=\"https:\/\/ai.visual-paradigm.com\/business-model-canvas-builder\/editor\" style=\"background-color: transparent; color: rgb(12, 147, 228);\">Criador de Canvas do Modelo de Neg\u00f3cio com IA \u2013 Design de Estrat\u00e9gia Instant\u00e2neo<\/a>: Uma ferramenta impulsionada por IA que automatiza a cria\u00e7\u00e3o de canvases do modelo de neg\u00f3cios, oferecendo sugest\u00f5es inteligentes e insights em tempo real para acelerar o planejamento empresarial.<\/p>\n<\/li>\n<li>\n<p style=\"margin-top: 1.2em; margin-bottom: 1.2em;\"><a href=\"https:\/\/ai-toolbox.visual-paradigm.com\/app\/canvas\/\" style=\"background-color: transparent; color: rgb(12, 147, 228);\">Ferramenta de Canvas com IA \u2013 Design Inteligente para Estruturas Empresariais<\/a>: Uma aplica\u00e7\u00e3o de canvas com IA que ajuda os usu\u00e1rios a gerar e aprimorar modelos de neg\u00f3cios, propostas de valor e estruturas de estrat\u00e9gia com sugest\u00f5es inteligentes e automa\u00e7\u00e3o.<\/p>\n<\/li>\n<li>\n<p style=\"margin-top: 1.2em; margin-bottom: 1.2em;\"><a href=\"https:\/\/www.visual-paradigm.com\/solution\/ai-business-model-canvas-tool\/\" style=\"background-color: transparent; color: rgb(12, 147, 228);\">Ferramenta de Canvas do Modelo de Neg\u00f3cio com IA \u2013 Desenvolvimento Inteligente de Estrat\u00e9gia<\/a>: Uma solu\u00e7\u00e3o abrangente com IA para constru\u00e7\u00e3o e aprimoramento de modelos de neg\u00f3cios com insights inteligentes, feedback em tempo real e recursos colaborativos.<\/p>\n<\/li>\n<li>\n<p style=\"margin-top: 1.2em; margin-bottom: 1.2em;\"><a href=\"https:\/\/updates.visual-paradigm.com\/releases\/ai-canvas-editor\/\" style=\"background-color: transparent; color: rgb(12, 147, 228);\">Atualiza\u00e7\u00e3o do Lan\u00e7amento do Editor de Canvas com IA<\/a>: Apresenta um editor de canvas com IA que aprimora a cria\u00e7\u00e3o de diagramas por meio de sugest\u00f5es inteligentes e otimiza\u00e7\u00e3o autom\u00e1tica de layout.<\/p>\n<\/li>\n<li>\n<p style=\"margin-top: 1.2em; margin-bottom: 1.2em;\"><a href=\"https:\/\/guides.visual-paradigm.com\/ai-powered-business-model-canvas-tool\/\" style=\"background-color: transparent; color: rgb(12, 147, 228);\">Guia da Ferramenta de Canvas do Modelo de Neg\u00f3cio com IA<\/a>: Um guia passo a passo sobre como usar uma ferramenta aprimorada com IA para gerar e aprimorar canvases do modelo de neg\u00f3cios com entradas inteligentes e recomenda\u00e7\u00f5es em tempo real.<\/p>\n<\/li>\n<li>\n<p style=\"margin-top: 1.2em; margin-bottom: 1.2em;\"><a href=\"https:\/\/canvas.visual-paradigm.com\/mission-model-canvas\/\" style=\"background-color: transparent; color: rgb(12, 147, 228);\">Canvas do Modelo de Miss\u00e3o | Ferramenta de Estrat\u00e9gia com IA por VP<\/a>: 28 de outubro de 2025 \u2013 Coordeie sess\u00f5es ao vivo com sua equipe usando o cron\u00f4metro integrado e exporte seu canvas final ou relat\u00f3rios em formatos profissionais, como Word, Markdown ou CSV. \u2026 O Canvas do Modelo de Miss\u00e3o foi especificamente projetado para ONGs, ag\u00eancias governamentais, empresas sociais e qualquer organiza\u00e7\u00e3o cujo objetivo principal seja a realiza\u00e7\u00e3o da miss\u00e3o, e n\u00e3o o lucro.<\/p>\n<\/li>\n<li>\n<p style=\"margin-top: 1.2em; margin-bottom: 1.2em;\"><a href=\"https:\/\/www.cybermedian.com\/comprehensive-tutorial-ai-powered-business-canvas-toolkit-with-visual-paradigm\/\" style=\"background-color: transparent; color: rgb(12, 147, 228);\">Tutorial Completo: Kit de Ferramentas de Canvas Empresarial com IA integrado ao Visual Paradigm<\/a>: Esta p\u00e1gina fornece um guia detalhado sobre como usar um kit de ferramentas de Canvas do Modelo de Neg\u00f3cio aprimorado com IA, integrado ao Visual Paradigm, para desenvolvimento automatizado de estrat\u00e9gias empresariais.<\/p>\n<\/li>\n<li>\n<p style=\"margin-top: 1.2em; margin-bottom: 1.2em;\"><a href=\"https:\/\/ai.visual-paradigm.com\/tool\/canvas-tool\/\" style=\"background-color: transparent; color: rgb(12, 147, 228);\">Ferramenta de Canvas com IA \u2013 Visual Paradigm<\/a>: Uma ferramenta impulsionada por IA dentro do Visual Paradigm que permite aos usu\u00e1rios gerar e aprimorar canvases empresariais por meio de automa\u00e7\u00e3o inteligente e entrada por linguagem natural.<\/p>\n<\/li>\n<li>\n<p style=\"margin-top: 1.2em; margin-bottom: 1.2em;\"><a href=\"https:\/\/www.diagrams-ai.com\/blog\/mastering-the-business-model-canvas-with-ai-a-step-by-step-guide-using-visual-paradigm\/\" style=\"background-color: transparent; color: rgb(12, 147, 228);\">Dominando o Canvas do Modelo de Neg\u00f3cio com IA: Guia Passo a Passo usando o Visual Paradigm<\/a>: Este post no blog oferece um roteiro estruturado sobre como aproveitar as capacidades de IA no Visual Paradigm para criar, personalizar e otimizar canvases do modelo de neg\u00f3cios de forma eficiente.<\/p>\n<\/li>\n<li>\n<p style=\"margin-top: 1.2em; margin-bottom: 1.2em;\"><a href=\"https:\/\/ai.visual-paradigm.com\/tool\/business-model-canvas-builder\/how-it-works\/\" style=\"background-color: transparent; color: rgb(12, 147, 228);\">Como Funciona o Criador de Canvas do Modelo de Neg\u00f3cio com IA \u2013 Visual Paradigm<\/a>: Esta p\u00e1gina explica a funcionalidade do Criador de Canvas do Modelo de Neg\u00f3cio com IA, destacando como a intelig\u00eancia de m\u00e1quina automatiza a cria\u00e7\u00e3o de canvases e a gera\u00e7\u00e3o de insights estrat\u00e9gicos.<\/p>\n<\/li>\n<li>\n<p style=\"margin-top: 1.2em; margin-bottom: 1.2em;\"><a href=\"https:\/\/online.visual-paradigm.com\/diagrams\/templates\/analysis-canvas\/strategy-tools\/deep-learning-ai-canvas\/\" style=\"background-color: transparent; color: rgb(12, 147, 228);\">Painel de IA de Aprendizado Profundo | Modelo de Padr\u00e3o de An\u00e1lise de Ferramentas Estrat\u00e9gicas<\/a>: Editar Vers\u00e3o Localizada: Painel de IA de Aprendizado Profundo (TW) | Painel de IA de Aprendizado Profundo (CN) Visualize esta p\u00e1gina em: EN TW CN \u00b7 Visual Paradigm Online (VP Online) \u00e9 um software de diagramas online que suporta pain\u00e9is de an\u00e1lise, diversos gr\u00e1ficos, UML, fluxograma, diagrama de rack, organograma, \u00e1rvore geneal\u00f3gica, DER, planta baixa, etc.<\/p>\n<\/li>\n<li>\n<p style=\"margin-top: 1.2em; margin-bottom: 1.2em;\"><a href=\"https:\/\/canvas.visual-paradigm.com\/product-canvas\/\" style=\"background-color: transparent; color: rgb(12, 147, 228);\">Painel de Produto | Ferramenta Estrat\u00e9gica com IA por VP<\/a>: Crie produtos que as pessoas amem. Combine estrat\u00e9gia, design e feedback em um \u00fanico espa\u00e7o visual com nosso Painel de Produto com IA para levar ideias ao mercado mais r\u00e1pido.<\/p>\n<\/li>\n<li>\n<p style=\"margin-top: 1.2em; margin-bottom: 1.2em;\"><a href=\"https:\/\/canvas.visual-paradigm.com\/lean-ux-canvas\/\" style=\"background-color: transparent; color: rgb(12, 147, 228); text-decoration-line: none; outline: none;\">Painel Lean UX | Ferramenta Estrat\u00e9gica com IA por VP<\/a>: 28 de outubro de 2025 \u2013 Crie um framework estrat\u00e9gico completo em instantes. Basta descrever sua vis\u00e3o, e o gerador de pain\u00e9is com IA o transformar\u00e1 em um painel estruturado e rico em insights que ajuda voc\u00ea a visualizar, planejar e aprimorar sua pr\u00f3xima grande ideia.<\/p>\n<\/li>\n<li>\n<p style=\"margin-top: 1.2em; margin-bottom: 1.2em;\"><a href=\"https:\/\/canvas.visual-paradigm.com\/lean-canvas\/\" style=\"background-color: transparent; color: rgb(12, 147, 228);\">Painel Lean \u2013 Visual Paradigm<\/a>: 28 de outubro de 2025 \u2013 Nosso aplicativo foi projetado para ser seu parceiro estrat\u00e9gico, fornecendo ferramentas inteligentes para aprimorar cada etapa do seu processo de planejamento para o Painel do Modelo de Neg\u00f3cio. \u2026 Tem uma ideia de startup? Basta digitar &#8216;um aplicativo m\u00f3vel para entrega de refei\u00e7\u00f5es caseiras locais&#8217; e deixe nossa IA gerar um Painel Lean completo, destacando o problema, a solu\u00e7\u00e3o e as m\u00e9tricas-chave.<\/p>\n<\/li>\n<\/ul>\n<\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>No cen\u00e1rio complexo dos neg\u00f3cios modernos, compreender o seu ambiente competitivo n\u00e3o \u00e9 apenas uma vantagem \u2014 \u00e9 uma necessidade. Seja voc\u00ea um fundador de startup procurando pontos de entrada no mercado ou um executivo corporativo analisando mudan\u00e7as na ind\u00fastria, ter um quadro estruturado para avaliar lucratividade e concorr\u00eancia \u00e9 essencial. \u00c9 aqui que o Quadro das Cinco For\u00e7as de Porter torna-se indispens\u00e1vel. Este guia abrangente explora a mec\u00e2nica do an\u00e1lise estrat\u00e9gica da ind\u00fastria, define os componentes centrais do quadro das Cinco For\u00e7as e demonstra como ferramentas modernas como o Visual Paradigm Online aproveitam a Intelig\u00eancia Artificial para transformar diagramas est\u00e1ticos em ativos estrat\u00e9gicos din\u00e2micos. Conceitos Principais: Compreendendo o Quadro das Cinco For\u00e7as Antes de mergulhar na execu\u00e7\u00e3o, \u00e9 essencial compreender os elementos fundamentais do quadro de Michael Porter. Esta ferramenta foi projetada para analisar a estrutura competitiva de uma ind\u00fastria, a fim de determinar sua &#8216;atratividade&#8217; corporativa e seu potencial de lucratividade. 1. Rivalidade Competitiva Esta for\u00e7a mede a intensidade da concorr\u00eancia dentro da ind\u00fastria. Uma alta rivalidade limita a capacidade das empresas de definir pre\u00e7os e alcan\u00e7ar altos lucros. Fatores que influenciam isso incluem o n\u00famero de concorrentes, a taxa de crescimento da ind\u00fastria e as barreiras \u00e0 sa\u00edda. 2. Amea\u00e7a de Novos Entrantes Isso se refere \u00e0 facilidade com que novos concorrentes podem entrar no mercado. Se as barreiras \u00e0 entrada (como requisitos de capital, regulamenta\u00e7\u00f5es ou lealdade \u00e0 marca) forem baixas, a amea\u00e7a ser\u00e1 alta, o que pode for\u00e7ar as empresas existentes a manterem pre\u00e7os baixos e investirem pesadamente na reten\u00e7\u00e3o. 3. Poder de Negocia\u00e7\u00e3o dos Fornecedores Os fornecedores exercem poder elevando pre\u00e7os ou reduzindo a qualidade de bens e servi\u00e7os. Fornecedores fortes podem reduzir a lucratividade de uma ind\u00fastria que n\u00e3o consegue repassar aumentos de custo em seus pr\u00f3prios pre\u00e7os. O poder \u00e9 alto quando h\u00e1 poucos fornecedores ou quando os custos de mudan\u00e7a s\u00e3o elevados. 4. Poder de Negocia\u00e7\u00e3o dos Compradores Os clientes podem for\u00e7ar a redu\u00e7\u00e3o de pre\u00e7os, exigir melhor qualidade ou mais servi\u00e7os e colocar concorrentes uns contra os outros \u2014 tudo isso \u00e0s custas dos lucros da ind\u00fastria. O poder do comprador aumenta quando h\u00e1 poucos compradores ou quando eles compram em grandes volumes. 5. Amea\u00e7a de Produtos Substitutos Um produto substituto \u00e9 aquele que atende \u00e0 mesma necessidade do produto da ind\u00fastria, mas de forma diferente. A presen\u00e7a de produtos substitutos pr\u00f3ximos imp\u00f5e um teto sobre pre\u00e7os e lucros. Se os custos de mudan\u00e7a forem baixos, a amea\u00e7a ser\u00e1 significativa. VP AI: Como o AI do Visual Paradigm Melhora a An\u00e1lise Estrat\u00e9gica A planejamento estrat\u00e9gico tradicional envolve frequentemente sess\u00f5es manuais de brainstorming que podem ser desorganizadas e demoradas. O Visual Paradigm Online integra capacidades avan\u00e7adas de IA diretamente no Toolkit de Canvas para automatizar e aprimorar esse processo. Cria\u00e7\u00e3o de Canvas com Intelig\u00eancia Artificial Come\u00e7ar a partir de uma p\u00e1gina em branco \u00e9 frequentemente a parte mais dif\u00edcil da estrat\u00e9gia. Com o criador de canvas com IA, voc\u00ea pode simplesmente esbo\u00e7ar sua ideia b\u00e1sica de ind\u00fastria ou neg\u00f3cio. A IA gerar\u00e1 automaticamente um quadro estruturado e repleto de insights sobre as Cinco For\u00e7as de Porter. Isso estabelece uma base imediata para o desenvolvimento eficaz de estrat\u00e9gias, economizando horas de formata\u00e7\u00e3o manual e pesquisas iniciais. Melhoria Inteligente de Ideias Bloqueios criativos podem paralisar a an\u00e1lise. O assistente de idea\u00e7\u00e3o com IA atua como um consultor digital, fornecendo entradas inteligentes e baseadas no contexto para cada segmento do canvas. Seja voc\u00ea com dificuldades em identificar barreiras de entrada obscuras ou amea\u00e7as sutis dos fornecedores, a IA sugere \u00e2ngulos inovadores e amplia seus pensamentos iniciais, garantindo uma an\u00e1lise mais abrangente. Insights Estrat\u00e9gicos Avan\u00e7ados com IA Os dados devem orientar a estrat\u00e9gia. Al\u00e9m de preencher apenas caixas, o Visual Paradigm permite que voc\u00ea realize an\u00e1lises aprofundadas em sua matriz conclu\u00edda. Voc\u00ea pode realizar verifica\u00e7\u00f5es cruzadas instantaneamente, como an\u00e1lise SWOT (For\u00e7as, Fraquezas, Oportunidades, Amea\u00e7as) ou avalia\u00e7\u00f5es de viabilidade de mercado com base nos dados da sua matriz de Cinco For\u00e7as. Isso permite que voc\u00ea valide suposi\u00e7\u00f5es e descubra novas oportunidades de crescimento com precis\u00e3o algor\u00edtmica. Diretrizes: Implementa\u00e7\u00e3o Passo a Passo Para maximizar o valor da matriz de Cinco For\u00e7as de Porter, siga esta abordagem estruturada para passar da observa\u00e7\u00e3o para uma estrat\u00e9gia acion\u00e1vel. Passo 1: Defina o Escopo da Ind\u00fastria Seja espec\u00edfico sobre a ind\u00fastria que est\u00e1 analisando. Por exemplo, voc\u00ea est\u00e1 analisando a &#8220;Ind\u00fastria Global de Fast Food&#8221; ou o &#8220;mercado local de fast-casual org\u00e2nico&#8221;? Um escopo vago leva a insights dilu\u00eddos. Passo 2: Avalie Cada For\u00e7a Individualmente Trabalhe sistematicamente pelas cinco se\u00e7\u00f5es da matriz. N\u00e3o basta listar fatores; avalie o fortaleza de cada for\u00e7a (Baixa, M\u00e9dia, Alta). Exemplo: Na Ind\u00fastria de Carona Compartilhada, a amea\u00e7a de substitutos pode ser &#8216;M\u00e9dia&#8217; devido ao transporte p\u00fablico, enquanto a rivalidade \u00e9 &#8216;Alta&#8217; devido aos pre\u00e7os agressivos entre os principais players. Passo 3: Identifique os Motores Estruturais Para cada for\u00e7a, pergunte &#8216;Por qu\u00ea?&#8217;. Liste os motores subjacentes. Se o poder do fornecedor \u00e9 alto, \u00e9 porque eles det\u00eam uma patente? Se o poder do comprador \u00e9 alto, \u00e9 porque o produto \u00e9 uma commodity? Passo 4: Analise as Interconex\u00f5es Procure rela\u00e7\u00f5es entre as for\u00e7as. A alta rivalidade leva a uma guerra de pre\u00e7os que aumenta o poder do comprador? Uma nova tecnologia aumenta a amea\u00e7a de substitutos ao mesmo tempo em que reduz as barreiras de entrada? Passo 5: Formule a Estrat\u00e9gia Use as insights para determinar sua posi\u00e7\u00e3o estrat\u00e9gica. Voc\u00ea consegue se posicionar onde as for\u00e7as s\u00e3o mais fracas? Consegue explorar mudan\u00e7as nas for\u00e7as? Use a matriz para decidir se deve se diferenciar, focar em uma nicho ou liderar em custo. Dicas e Truques para Otimiza\u00e7\u00e3o Aproveite estas pr\u00e1ticas recomendadas e recursos espec\u00edficos da ferramenta para obter o m\u00e1ximo de suas sess\u00f5es de planejamento estrat\u00e9gico. Utilize o Modo Foco: Ao lidar com ind\u00fastrias complexas, a matriz pode ficar cheia de informa\u00e7\u00f5es. Use o Modo Foco para mergulhar profundamente em uma \u00fanica se\u00e7\u00e3o (por exemplo, Poder do Fornecedor) sem distra\u00e7\u00f5es, permitindo detalhes mais ricos e concentra\u00e7\u00e3o. Colabore em Tempo Real: A estrat\u00e9gia n\u00e3o deve ser uma<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-4651","post","type-post","status-publish","format-standard","hentry","category-uncategorized"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.0 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Dominando o Painel das Cinco For\u00e7as de Porter: Guia de An\u00e1lise Estrat\u00e9gica com IA<\/title>\n<meta name=\"description\" content=\"Um guia abrangente sobre o uso do Painel das Cinco For\u00e7as de Porter para an\u00e1lise de ind\u00fastrias. 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