{"id":39342,"date":"2021-11-22T15:14:23","date_gmt":"2021-11-22T15:14:23","guid":{"rendered":"https:\/\/www.sisinternational.com\/?page_id=39342"},"modified":"2026-05-05T16:03:44","modified_gmt":"2026-05-05T20:03:44","slug":"etude-de-marche-sur-lautomatisation-industrielle","status":"publish","type":"page","link":"https:\/\/www.sisinternational.com\/fr\/competence\/etude-de-marche-industriel\/etude-de-marche-sur-lautomatisation-industrielle\/","title":{"rendered":"Industrial Automation Market Research | SIS International"},"content":{"rendered":"
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\u00c9tude de march\u00e9 sur l\u2019automatisation industrielle<\/a><\/h1>\n
\"\u00c9tudes<\/figure>\n<\/p>\n

What is Industrial Automation<\/a><\/h2>\n

L'automatisation industrielle utilise des robots et des syst\u00e8mes informatiques pour g\u00e9rer les machines et les processus afin de remplacer les \u00eatres humains.<\/p>\n

Au d\u00e9part, son objectif \u00e9tait de diminuer le co\u00fbt li\u00e9 aux travailleurs humains. Les entreprises l\u2019utilisaient \u00e9galement pour augmenter leur production. Mais aujourd\u2019hui, l\u2019accent a chang\u00e9. Les entreprises l\u2019utilisent d\u00e9sormais pour s\u2019adapter au changement. Ils l'utilisent \u00e9galement pour am\u00e9liorer la qualit\u00e9 du processus de production.<\/p>\n

L'automatisation est pr\u00e9sente dans presque toutes les usines et ateliers d'aujourd'hui. Il est difficile d'imaginer une cha\u00eene de production sans cela. Nous pouvons le diviser en trois classes :<\/p>\n

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  1. Fix\u00e9<\/strong>: Les entreprises utilisent souvent ce type pour des t\u00e2ches fastidieuses. Cela rend le processus efficace et am\u00e9liore les taux de d\u00e9bit.<\/li>\n
  2. Programmable<\/strong>: Ce type est id\u00e9al pour les lots dont les instructions changent au fil du temps.<\/li>\n
  3. Flexible<\/strong>: Avec ce type, l'entreprise peut \u00e9galement transmettre les changements via le syst\u00e8me de contr\u00f4le. Ainsi, ils sont rapides et automatiques. Il n'est pas non plus n\u00e9cessaire d'ajuster l'\u00e9quipement entre les lots.<\/li>\n<\/ol>\n

    L'automatisation industrielle implique l'utilisation de technologies modernes pour piloter l'automatisation des processus et des op\u00e9rations de fabrication dans les environnements industriels. Ce march\u00e9 devrait conna\u00eetre une croissance consid\u00e9rable au cours des prochaines ann\u00e9es, aliment\u00e9e par l\u2019adoption croissante d\u2019avanc\u00e9es technologiques de pointe telles que l\u2019intelligence artificielle (IA), la robotique et l\u2019IoT dans les processus industriels.<\/p>\n

    This means that industrial automation market research<\/a> is a rapidly expanding area because the tools of this sector are being continuously upgraded, and researchers must implement new strategies to keep pace with the industry, readjusting the approach of market analysts.<\/p>\n<\/div>\n

    Industrial Automation Market Research: How Leading Manufacturers Capture Growth<\/h1>\n

    Industrial automation is entering a phase where competitive position is set by intelligence, not capital. Capex alone no longer separates leaders from followers. The firms gaining share are reading demand signals, supplier shifts, and end-user adoption curves earlier than peers. That is the work of industrial automation market research.<\/p>\n

    The category now spans far more than PLCs and robotic arms. It includes machine vision, edge compute, predictive maintenance platforms, autonomous mobile robots, digital twins, and AI-driven process optimization. Buyers evaluating these systems run multi-year procurement cycles with cross-functional committees. Vendors who win understand the buying logic at each stage.<\/p>\n

    Why Industrial Automation Market Research Drives Strategic Advantage<\/h2>\n

    The conventional approach treats automation research as a sizing exercise. Teams commission a TAM study, segment by end-use vertical, and stop there. The output is a deck with growth rates and a vendor map. It rarely changes a roadmap decision.<\/p>\n

    The better approach treats research as a continuous decision system tied to specific bets: which adjacency to enter, which OEM relationship to deepen, which control architecture to standardize on. Leading firms run installed base analytics alongside total cost of ownership modeling for each platform under consideration. They quantify aftermarket revenue strategy across the asset lifecycle, not just the initial sale.<\/p>\n

    According to SIS International Research, automation buyers in energy and chemical sectors weight reference installations and field service density more heavily than feature parity when selecting between competing platforms.<\/span> Brand reputation among plant engineers, built over decades of uptime performance, predicts win rates more reliably than product specifications.<\/span> That insight reshapes how challenger brands should sequence market entry.<\/p>\n

    The Buying Committee Behind Capital Equipment Decisions<\/h2>\n

    Automation purchases involve four distinct stakeholder groups. Plant engineers care about reliability and integration with legacy DCS environments. Operations leaders care about throughput and OEE gains. Procurement evaluates supplier qualification audits and bill of materials optimization. Corporate IT increasingly weighs in on cybersecurity posture and data architecture.<\/p>\n

    Each group reads different sources, attends different conferences, and trusts different voices. Research that surveys only one layer produces incomplete intelligence. B2B expert interviews across all four roles, conducted in sequence, surface the actual decision criteria and the veto points that kill deals late.<\/p>\n

    Rockwell Automation, Siemens, ABB, Schneider Electric, Emerson, Honeywell, and Yokogawa each occupy distinct positions in this committee map. Strength with one role does not transfer automatically to others. Mapping the gaps is where share is won.<\/p>\n

    Where the Growth Is Concentrated<\/h2>\n

    Three vectors are pulling capital into automation faster than the broader industrial average. Reshoring feasibility studies are converting into capex commitments across semiconductors, pharmaceuticals, and battery manufacturing. Predictive maintenance sizing models show payback windows compressing as sensor and edge compute costs decline. Labor scarcity in food processing, logistics, and metal fabrication is forcing automation onto roadmaps that resisted it for years.<\/p>\n

    Each vector carries a different research requirement. Reshoring decisions need site selection intelligence and incentive package benchmarking. Predictive maintenance opportunities need installed base analytics by asset class. Labor-driven automation needs workflow-level task analysis to identify which steps can be automated economically.<\/p>\n

    \n\n\n\n\n\n\n\n\n
    Growth Vector<\/th>\nPrimary Research Need<\/th>\nDecision Owner<\/th>\n<\/tr>\n<\/thead>\n
    Reshoring capex<\/td>\nSite economics, incentive benchmarking<\/td>\nCorporate strategy<\/td>\n<\/tr>\n
    Predictive maintenance<\/td>\nInstalled base analytics, TCO modeling<\/td>\nOperations leadership<\/td>\n<\/tr>\n
    Labor substitution<\/td>\nTask-level workflow analysis<\/td>\nPlant management<\/td>\n<\/tr>\n
    Aftermarket expansion<\/td>\nService contract economics, churn drivers<\/td>\nCommercial leadership<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/figure>\n

    Source: SIS International Research<\/em><\/p>\n

    What Separates Sharp Competitive Intelligence From Surface Mapping<\/h2>\n

    Most competitive intelligence in this category catalogs product lines and pricing. That is the entry point, not the deliverable. The intelligence that changes commercial outcomes maps three deeper layers: channel economics, integrator relationships, and switching cost structures.<\/p>\n

    Channel economics determine whether a competitor can sustain price aggression in a given region. System integrators control which platforms get specified on greenfield projects, and their loyalties shift based on margin support and training investment. Switching costs in automation are dominated by engineering time, not equipment write-downs, which means displacement strategies must address engineering hours saved, not unit price.<\/p>\n

    SIS International’s structured expert interviews with senior automation engineers across North America and Europe consistently show that integrator relationships and field service density predict account retention more strongly than product roadmap quality. Vendors investing in integrator certification programs and regional service depth retain accounts through multi-cycle refreshes.<\/span><\/p>\n

    The SIS Approach to Industrial Automation Market Research<\/h2>\n

    SIS International has conducted automation studies across energy, chemicals, oil and gas, food processing, and discrete manufacturing in more than 135 countries. The work typically combines four components: desk research and market sizing, B2B expert interviews with plant engineers and operations leaders, customer and competitor mapping with installed base analysis, and strategic analysis tied to a named decision.<\/p>\n

    The output is not a report. It is a position on a specific question: enter or not, acquire or build, standardize on platform A or B, price at premium or parity. SIS International’s proprietary research in industrial automation indicates that buyers narrow consideration sets within the first two vendor conversations, which means messaging and reference architecture must be sharp before the first sales call, not refined during the cycle.<\/span><\/p>\n

    A Framework for Prioritizing Automation Research Investment<\/h2>\n

    Not every decision warrants the same research depth. The framework below sorts automation questions by capital exposure and reversibility, then matches each quadrant to a research intensity.<\/p>\n

    \n\n\n\n\n\n\n\n\n
    Decision Type<\/th>\nCapital at Risk<\/th>\nReversibility<\/th>\nResearch Depth<\/th>\n<\/tr>\n<\/thead>\n
    Platform standardization<\/td>\nHigh<\/td>\nLow<\/td>\nFull primary plus expert panel<\/td>\n<\/tr>\n
    Adjacent vertical entry<\/td>\nHigh<\/td>\nMedium<\/td>\nSizing plus VOC plus competitive map<\/td>\n<\/tr>\n
    Pricing repositioning<\/td>\nMedium<\/td>\nHigh<\/td>\nTargeted win\/loss interviews<\/td>\n<\/tr>\n
    Feature roadmap input<\/td>\nLow<\/td>\nHigh<\/td>\nCustomer advisory board<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/figure>\n

    Source: SIS International Research<\/em><\/p>\n

    The discipline is matching research investment to decision weight. Over-researching reversible decisions burns budget. Under-researching irreversible ones destroys it.<\/p>\n

    What VP-Level Decision Makers Should Demand From Research<\/h2>\n
    \"\u00c9tudes<\/figure>\n

    Automation research has value when it reduces uncertainty on a specific bet. The questions that matter at the VP level are concrete. Which segments will reward premium positioning over the next cycle? Where are integrator loyalties shifting? Which legacy installed bases are approaching forced refresh windows? What does the actual decision sequence look like inside a typical buying committee?<\/p>\n

    Generic market reports cannot answer these. Custom industrial automation market research, grounded in primary interviews with the engineers and operations leaders who write the specifications, can. The firms compounding share in this category are the ones treating research as an operating capability, not a procurement event.<\/p>\n

    Key Questions<\/h2>\n
    \"\u00c9tudes<\/figure>\n

    \u00c0 propos de SIS International<\/h2>\n

    SIS International<\/a> propose des recherches quantitatives, qualitatives et strat\u00e9giques. Nous fournissons des donn\u00e9es, des outils, des strat\u00e9gies, des rapports et des informations pour la prise de d\u00e9cision. Nous menons \u00e9galement des entretiens, des enqu\u00eates, des groupes de discussion et d\u2019autres m\u00e9thodes et approches d\u2019\u00e9tudes de march\u00e9. Contactez nous<\/a> pour votre prochain projet d'\u00e9tude de march\u00e9.<\/p>\n

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    Related SIS Resources<\/h3>\n