{"id":51624,"date":"2025-10-03T14:16:22","date_gmt":"2025-10-03T14:16:22","guid":{"rendered":"https:\/\/teeptrak.com\/?p=51624"},"modified":"2025-10-03T14:22:47","modified_gmt":"2025-10-03T14:22:47","slug":"benchmarks2025-performance-sector","status":"publish","type":"post","link":"https:\/\/teeptrak.com\/en\/benchmarks2025-performance-sector\/","title":{"rendered":"OEE 2025 Benchmarks: Where do you stand in relation to your competitors?"},"content":{"rendered":"<p>[et_pb_section fb_built=&#8221;1&#8243; _builder_version=&#8221;4.27.4&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221; theme_builder_area=&#8221;et_body_layout&#8221;][et_pb_row _builder_version=&#8221;4.27.4&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221; theme_builder_area=&#8221;et_body_layout&#8221;][et_pb_column type=&#8221;4_4&#8243; _builder_version=&#8221;4.27.4&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221; theme_builder_area=&#8221;et_body_layout&#8221;][et_pb_text _builder_version=&#8221;4.27.4&#8243; _module_preset=&#8221;default&#8221; hover_enabled=&#8221;0&#8243; global_colors_info=&#8221;{}&#8221; theme_builder_area=&#8221;et_body_layout&#8221; sticky_enabled=&#8221;0&#8243;]<\/p>\n<p data-pm-slice=\"1 1 []\"><strong>Benchmarking 2025 reveals spectacular differences between industrial sectors.<\/strong>  Is your OEE of 68% excellent or worrying? This exclusive study analyzes data from 3,500 plants in 12 countries to help you position yourself against the global competition. <\/p>\n<p>&nbsp;<\/p>\n<table>\n<colgroup>\n<col>\n<col>\n<col>\n<col>\n<col><\/colgroup>\n<tbody>\n<tr>\n<th colspan=\"1\" rowspan=\"1\">\n  <strong>Sector<\/strong>\n<\/th>\n<th colspan=\"1\" rowspan=\"1\">\n  <strong>OEE Low<\/strong>\n<\/th>\n<th colspan=\"1\" rowspan=\"1\">\n  <strong>OEE Medium<\/strong>\n<\/th>\n<th colspan=\"1\" rowspan=\"1\">\n  <strong>OEE Good<\/strong>\n<\/th>\n<th colspan=\"1\" rowspan=\"1\">\n  <strong>World-Class<\/strong>\n<\/th>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\"><strong>Automotive<\/strong><\/td>\n<td colspan=\"1\" rowspan=\"1\">&lt;65%<\/td>\n<td colspan=\"1\" rowspan=\"1\">65-75%<\/td>\n<td colspan=\"1\" rowspan=\"1\">75-85%<\/td>\n<td colspan=\"1\" rowspan=\"1\">&gt;85%<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\"><strong>Food industry<\/strong><\/td>\n<td colspan=\"1\" rowspan=\"1\">&lt;55%<\/td>\n<td colspan=\"1\" rowspan=\"1\">55-65%<\/td>\n<td colspan=\"1\" rowspan=\"1\">65-75%<\/td>\n<td colspan=\"1\" rowspan=\"1\">&gt;75%<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\"><strong>Pharmaceuticals<\/strong><\/td>\n<td colspan=\"1\" rowspan=\"1\">&lt;60%<\/td>\n<td colspan=\"1\" rowspan=\"1\">60-70%<\/td>\n<td colspan=\"1\" rowspan=\"1\">70-80%<\/td>\n<td colspan=\"1\" rowspan=\"1\">&gt;80%<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\"><strong>Metallurgy<\/strong><\/td>\n<td colspan=\"1\" rowspan=\"1\">&lt;50%<\/td>\n<td colspan=\"1\" rowspan=\"1\">50-60%<\/td>\n<td colspan=\"1\" rowspan=\"1\">60-70%<\/td>\n<td colspan=\"1\" rowspan=\"1\">&gt;70%<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\"><strong>Plastics<\/strong><\/td>\n<td colspan=\"1\" rowspan=\"1\">&lt;60%<\/td>\n<td colspan=\"1\" rowspan=\"1\">60-70%<\/td>\n<td colspan=\"1\" rowspan=\"1\">70-80%<\/td>\n<td colspan=\"1\" rowspan=\"1\">&gt;80%<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\"><strong>Electronics<\/strong><\/td>\n<td colspan=\"1\" rowspan=\"1\">&lt;70%<\/td>\n<td colspan=\"1\" rowspan=\"1\">70-80%<\/td>\n<td colspan=\"1\" rowspan=\"1\">80-88%<\/td>\n<td colspan=\"1\" rowspan=\"1\">&gt;88%<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>The &#8220;World-Class&#8221; threshold represents the top 10% of production sites. This digital piloting experience requires excellence in availability, performance and quality. <\/p>\n<h2>Data analysis : Why the Sector Discrepancies?<\/h2>\n<p>Electronics dominates, with an OEE &gt;of 88%, thanks to advanced automation, short cycle times and maximum standardization. Massive R&amp;D investment (8-12% of sales) and mature predictive maintenance make the difference. <\/p>\n<p>The food industry has the lowest OEE (&gt;75%), due to structural constraints. Mandatory sanitary cleaning consumes 15-20% of available time. Variability of raw materials, frequent format changes and strict regulations limit performance.  <\/p>\n<p>The metalworking industry faces specific challenges: aging equipment (20-40 years), very long changeover times (up to 8 hours) and thermal constraints. Supervisory benchmarking reveals a potential improvement of +12 points with digitalization. <\/p>\n<h2>International Comparative Study Report<\/h2>\n<table>\n<colgroup>\n<col>\n<col>\n<col>\n<col><\/colgroup>\n<tbody>\n<tr>\n<th colspan=\"1\" rowspan=\"1\">\n  <strong>Country<\/strong>\n<\/th>\n<th colspan=\"1\" rowspan=\"1\">\n  <strong>OEE Average<\/strong>\n<\/th>\n<th colspan=\"1\" rowspan=\"1\">\n  <strong>Evolution 2020-2025<\/strong>\n<\/th>\n<th colspan=\"1\" rowspan=\"1\">\n  <strong>Key factors<\/strong>\n<\/th>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">\n  <strong>Japan<\/strong>\n<\/td>\n<td colspan=\"1\" rowspan=\"1\">\n  <strong>74%<\/strong>\n<\/td>\n<td colspan=\"1\" rowspan=\"1\">+6 points<\/td>\n<td colspan=\"1\" rowspan=\"1\">Kaizen culture, IoT\/IA +180%<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">\n  <strong>Germany<\/strong>\n<\/td>\n<td colspan=\"1\" rowspan=\"1\">\n  <strong>71%<\/strong>\n<\/td>\n<td colspan=\"1\" rowspan=\"1\">+5 points<\/td>\n<td colspan=\"1\" rowspan=\"1\">Industry 4.0, R&amp;D 3.1% GDP<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">\n  <strong>France<\/strong>\n<\/td>\n<td colspan=\"1\" rowspan=\"1\">\n  <strong>66%<\/strong>\n<\/td>\n<td colspan=\"1\" rowspan=\"1\">+4 points<\/td>\n<td colspan=\"1\" rowspan=\"1\">Digitalization +62%<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>Japan leads the way thanks to 70 years of continuous improvement, with 120h of training\/year\/employee (vs. 32h in France). Toyota boasts a 91% OEE rate, with 8,000 suggestions per employee\/year. Germany excels with its mature Industry 4.0: 78% of factories digitized (vs. 52% in France). France is accelerating, with +62% of plants equipped with MES\/OEE by 2020.   <\/p>\n<h2>Trends 2020-2025: The 3 Technology Waves<\/h2>\n<p>The global OEE has risen from 58% (2020) to 68% (2025), i.e. +10 points.<\/p>\n<p><strong>Wave 1 (2020-2021):<\/strong> Digitalization forced by COVID-19, IoT sensors -73% in cost, digitalized factories +3.2 points vs +0.8 others.<\/p>\n<p><strong>Wave 2 (2021-2023):<\/strong> predictive AI reduces downtime by 25%. Michelin: OEE 76%\u219284% in 18 months, ROI 340%. <\/p>\n<p><strong>Wave 3 (2023-2025):<\/strong> Digital twins optimize virtually. Airbus: -40% changeover time. <\/p>\n<p>Average ROI on digital transformation: 300% over 3 years.<\/p>\n<h2>Your Improvement Strategy<\/h2>\n<h3>Define your target OEE<\/h3>\n<p>Don&#8217;t copy blindly. Compare yourself to plants in a similar context. A call to benchmark all your direct competitors&#8217; benchmarks is essential when it comes to performance.  <\/p>\n<p><strong>4-step method:<\/strong> (1) Measure over 3 months, line by line, shift by shift. (2) Identify your position: Red = emergency, Orange = SMED\/TPM, Green = AI\/predictive. (3) Analyze: OEE = Availability \u00d7 Performance \u00d7 Quality. (4) Set +5 points\/year.   <\/p>\n<h3>Phase Progression Plan<\/h3>\n<p><strong>Stabilization phase (60\u219265%, 6-9 months)<\/strong> &#8211; IoT sensors, Top 10 failure analysis, level 1 maintenance training. Investment 50k\u20ac, ROI 80-150k\u20ac. <\/p>\n<p><strong>Improvement phase (65\u219275%, 12-18 months)<\/strong> &#8211; SMED (-30-50% changeover time), TPM level 1, microstop reduction. Investment 120k\u20ac, ROI 300-500k\u20ac. <\/p>\n<p><strong>Optimization phase (75\u219285%, 18-24 months)<\/strong> &#8211; Predictive maintenance, product mix optimization, full digitalization. Investment 200k\u20ac, ROI 900k\u20ac. <\/p>\n<h3>Assess Your Potential<\/h3>\n<p><strong>Delayed profile (OEE &lt;60%)<\/strong> = potential +20-30 points over 3-4 years, priority measurement and quick wins.<\/p>\n<p><strong>Continuous Improvement Profile (OEE 65-75%)<\/strong> = potential +10-15 points over 2-3 years, focus on SMED\/TPM and digitalization.<\/p>\n<p><strong>Champion profile (OEE &gt;75%)<\/strong> = potential +5-8 points towards World-Class, priority predictive AI and digital twins.<\/p>\n<h2>The 5 priority levers<\/h2>\n<p>All benchmarks identify: (1) <strong>Availability<\/strong> &#8211; reduce breakdowns -30% with predictive, (2) <strong>Changeovers<\/strong> &#8211; SMED under 10 minutes, (3) <strong>Microarrests<\/strong> &#8211; 25% of lost time, (4) <strong>Quality<\/strong> &#8211; AI anomaly detection, (5) <strong>Training<\/strong> &#8211; 80% of success comes from the teams.<\/p>\n<p><strong>Comparative data:<\/strong> Training France 32h\/year vs Japan 120h\/year. Digitization France 52% vs Germany 78%. R&amp;D investment France 1.8% vs Germany 3.2%.  <\/p>\n<p>The 2025 study report confirms that each sector has its own constraints. An OEE of 68% in the agri-food sector may be excellent (top 25%), but the same in electronics indicates a lag. <\/p>\n<p><strong>Take action with TEEPTRAK<\/strong>: measure in real time, compare yourself with industry benchmarks and identify your priority levers.<\/p>\n<p><strong><a href=\"https:\/\/teeptrak.com\/en\/contact-teeptrak\/\">Request your free demo<\/a> and discover your hidden +10 OEE points!<\/strong><\/p>\n<p>[\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section]<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Benchmarking 2025 reveals spectacular differences between industrial sectors. Is your OEE of 68% excellent or worrying? This exclusive study analyzes data from 3,500 plants in 12 countries to help you position yourself against the global competition. &nbsp; Sector OEE Low OEE Medium OEE Good World-Class Automotive &lt;65% 65-75% 75-85% &gt;85% Food industry &lt;55% 55-65% 65-75% [&hellip;]<\/p>\n","protected":false},"author":10,"featured_media":51630,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_et_pb_use_builder":"on","_et_pb_old_content":"","_et_gb_content_width":"","ai_seo_title":"","ai_meta_description":"","ai_focus_keyword":"","footnotes":""},"categories":[157,101,158,122],"tags":[],"class_list":["post-51624","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-data-analytics-en","category-industrial-performance","category-market-trends","category-tendances-marche"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.3 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>OEE 2025 Benchmarks: Compare Your Performance<\/title>\n<meta name=\"description\" content=\"Discover OEE 2025 benchmarks by sector. 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