2026年10月16日 Friday Focus on Malaysia and Southeast Asia cross-border investment

Global Industry New Landscape: Investment Opportunities and Challenges in AI, New Energy, and Biotechnology Fields in October 2026

2026-10-16 10:54

Global Industry New Landscape: Investment Opportunities and Challenges in AI, New Energy, and Biotechnology Fields in October 2026

Global Industry New Landscape: Investment Opportunities and Challenges in AI, New Energy, and Biotechnology Fields in October 2026

Under the dual drive of global economic transformation and technological innovation, the global industry landscape in October 2026 is undergoing profound changes. As investors, accurately grasping the development trends and investment opportunities in various fields is crucial. This article will delve into the latest development trends of the three most watched industries—artificial intelligence, new energy, and biotechnology, analyze the market dynamics and investment potential behind them, and provide professional industry observations and strategic recommendations for investors.

AI Technology: Comprehensive Breakthrough from Laboratory to Commercial Applications

In 2026, artificial intelligence technology has moved from the theoretical research stage to a new era of comprehensive commercial applications. According to the latest market data, the global AI market size is expected to exceed 15 trillion US dollars, with an annual growth rate maintained at over 35%, with innovation at the application level becoming the main growth engine. The technological breakthroughs of large language models (LLMs) have not only changed human-computer interaction methods but have also profoundly reshaped the operational models of multiple industries.

In the financial sector, AI-driven intelligent investment advisory systems can now handle more complex market data and provide precise personalized investment recommendations. These systems can not only analyze traditional financial indicators but also integrate unstructured data such as news sentiment and social media discussions, providing investors with a more comprehensive market perspective. Meanwhile, the application of AI in risk management is also becoming increasingly mature, with the accuracy of early warning systems having improved to over 95% through real-time monitoring of market abnormal fluctuations.

In the healthcare sector, AI-assisted diagnostic systems can now identify more than 200 diseases, with diagnostic accuracy in certain areas surpassing that of specialized doctors. In drug development, AI algorithms can shorten the new drug development cycle from the traditional 10-15 years to 3-5 years, significantly reducing development costs. These technological breakthroughs have brought huge commercial value to related companies and created generous return opportunities for investors.

However, the challenges facing the AI industry cannot be ignored. Data privacy and security issues are becoming increasingly prominent, and countries around the world are strengthening the construction of AI regulatory frameworks. At the same time, the shortage of AI talent remains severe, and competition for high-quality AI talent has led to continuous increases in labor costs. For investors, when selecting AI-related targets, special attention needs to be paid to the company's technological innovation capabilities, data resource advantages, and application implementation capabilities.

New Energy: Industry Upgrading and Global Cooperation under Carbon Neutrality Goals

With the advancement of global carbon neutrality goals, the new energy industry has unprecedented development opportunities in 2026. Technological breakthroughs in fields such as solar energy, wind energy, and energy storage technology continue to emerge, and the industrial chain is becoming increasingly mature. According to data from the International Energy Agency, in 2026, the global renewable energy share exceeded traditional fossil fuels for the first time, marking the arrival of a historic transformation in the energy structure.

In the solar energy sector, the commercial application of perovskite solar cell technology has brought revolutionary breakthroughs, with conversion efficiency exceeding 30%, significantly reducing power generation costs. Meanwhile, the development of flexible solar technology has opened up new markets for building-integrated solar applications. In the wind energy sector, the maturity of floating wind power technology has made the development of deep-sea wind power resources possible, providing great clean energy potential for coastal countries.

As a key support for the new energy industry, energy storage technology has made significant progress in 2026. The commercial application of solid-state battery technology has solved the safety and lifespan problems of traditional lithium batteries, with energy density increased by over 50%. At the same time, breakthroughs in hydrogen energy storage technology have provided feasible solutions for long-cycle, large-scale energy storage, effectively addressing the challenges of intermittent power supply from renewable energy.

The development of the new energy industry is not only technology-driven but also heavily dependent on policy support. Governments around the world are strengthening green financial policy support, and the green bond market continues to expand, providing a stable source of funding for new energy projects. Meanwhile, international technical cooperation and standard coordination are constantly strengthening, promoting the coordinated development of the global new energy industry. For investors, the long-term investment value of the new energy industry is clear, but attention needs to be paid to technological route risks and market fluctuations caused by policy changes.

Biotechnology: Industry Revolution and Investment Opportunities in the Era of Health

2026 is known as the golden age of biotechnology, with technological breakthroughs in gene editing, cell therapy, and personalized medicine continuously driving the industry to new heights. The global biotechnology market size has exceeded 20 trillion US dollars, with a compound annual growth rate of 28%, becoming an important engine of global economic growth.

In 2026, gene editing technology CRISPR-Cas9 has made major breakthroughs in clinical applications, with treatment options for various genetic diseases entering the clinical stage. Meanwhile, the application of gene editing in the agricultural sector is also becoming increasingly widespread, with the development of disease-resistant and drought-resistant crop varieties providing new solutions for food security. In terms of cell therapy technology, the indications for CAR-T therapy are continuously expanding, treatment costs are continuously decreasing, making this revolutionary treatment affordable for more patients.

The development of personalized medicine is another highlight in the biotechnology field. Personalized disease prevention and treatment plans based on genetic testing and health data analysis have become a reality. In 2026, the global genetic testing market size has reached 150 billion US dollars, and is expected to maintain an annual growth rate of over 35% in the next five years. Meanwhile, the development of digital health technology has made remote medical services, virtual nursing and other new medical service models increasingly popular, greatly improving the accessibility of medical resources.

The development of the biotechnology industry faces severe challenges. Technological innovation requires large amounts of capital investment, with long development cycles and high risks. At the same time, the complexity of the regulatory environment also increases the operational difficulties for companies. For investors, the biotechnology industry is characterized by high risk and high returns, requiring professional industry knowledge and a long-term investment perspective, focusing on the company's R&D pipeline, clinical trial progress, and commercialization capabilities.

Industry Integration: New Value Chains Created by Cross-Border Innovation

An important feature of global industry development in 2026 is the acceleration of cross-border integration and innovation. The combination of AI and biotechnology has given rise to intelligent medical diagnostic systems; the integration of new energy and AI has optimized energy management and distribution; the combination of biotechnology and data science has promoted the development of personalized medicine. These cross-border innovations have not only created new business models but also reshaped the value chains of traditional industries.

In the financial sector, the combination of FinTech and biotechnology has created secure payment systems based on biometric recognition; in manufacturing, the integration of AI and new material technologies has achieved the upgrading of smart manufacturing; in agriculture, the combination of biotechnology and data science has promoted the development of precision agriculture. These cross-border innovations have not only improved industrial efficiency but also brought better products and services to consumers.

Industry integration innovation brings new opportunities and challenges for investors. On one hand, cross-border companies have stronger competitiveness and innovation capabilities; on the other hand, industry integration also brings more complex risk factors. Investors need to have a broader vision and deeper industry understanding to accurately grasp the investment opportunities brought by integration innovation.

Investment Strategies: Grasping Key Nodes of Industry Transformation

In the face of profound changes in the global industry landscape, investors need to adopt more flexible and long-term investment strategies. First, diversification remains the basic principle of risk management, allocating funds to targets in different industries and development stages, which can effectively reduce single risks.

Second, a long-term investment perspective is crucial. Industry transformation often takes time, and short-term market fluctuations should not affect long-term investment decisions. Investors should focus on the company's long-term competitive advantages and sustainable development capabilities, rather than short-term market performance.

Third, the ESG (Environmental, Social, and Governance) investment concept is increasingly valued. In fields such as AI, new energy, and biotechnology, a company's ESG performance is not only related to social responsibility but also directly affects its long-term business value. Investors should incorporate ESG factors into investment decision-making considerations, choosing companies that perform well in environmental protection, social contribution, and corporate governance.

Finally, the continuous accumulation and updating of professional knowledge. The rapid changes in industry technology and market environment require investors to continuously learn, follow the latest technology developments and market trends. By participating in industry seminars, reading professional reports, communicating with industry experts, and other methods, continuously improving their professional analysis capabilities.

Conclusion: Grasping Investment Opportunities in the Era of Transformation

The global industry landscape in October 2026 is in a period of profound transformation. The development of AI, new energy, and biotechnology has not only reshaped the industrial structure but also brought rich opportunities for investors. Facing a complex and changing market environment, investors need to have a global perspective, long-term vision, and professional analysis capabilities to accurately grasp the key nodes of industry transformation and achieve long-term asset appreciation.

In the next five years, with continuous technological breakthroughs and market maturation, the global industry landscape will continue to evolve. Investors should maintain an open learning attitude, continuously adjust investment strategies, and actively grasp the investment opportunities brought by the era of transformation under the premise of controllable risks, to achieve steady growth of wealth.

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  1. CONNECT:[ UseTime:0.001245s ] mysql:host=127.0.0.1;port=3306;dbname=cjgpcs;charset=utf8mb4
  2. SHOW FULL COLUMNS FROM `g3ys_config` [ RunTime:0.004210s ]
  3. SELECT `value` FROM `g3ys_config` WHERE `name` = 'timezone' AND `subsite_id` = '37' LIMIT 1 [ RunTime:0.000809s ]
  4. SHOW FULL COLUMNS FROM `g3ys_route` [ RunTime:0.003602s ]
  5. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '37' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.000988s ]
  6. SHOW FULL COLUMNS FROM `g3ys_theme` [ RunTime:0.005474s ]
  7. SELECT `paginator` FROM `g3ys_theme` WHERE `module` = 'home' AND `name` = 'maju' AND `subsite_id` = '37' LIMIT 1 [ RunTime:0.000830s ]
  8. SHOW FULL COLUMNS FROM `g3ys_lang` [ RunTime:0.007253s ]
  9. SELECT * FROM `g3ys_lang` WHERE `subsite_id` = 37 AND ( ( LOWER(name) = 'en' ) OR `subtag` = 'en' ) AND `status` = 1 ORDER BY `id` ASC LIMIT 1 [ RunTime:0.002774s ]
  10. SHOW FULL COLUMNS FROM `g3ys_member` [ RunTime:0.008608s ]
  11. SELECT * FROM `g3ys_member` WHERE `id` = 0 AND `subsite_id` = '37' LIMIT 1 [ RunTime:0.001499s ]
  12. SHOW FULL COLUMNS FROM `g3ys_document` [ RunTime:0.009133s ]
  13. SELECT `id`,`document_type` FROM `g3ys_document` WHERE `subsite_id` = 37 AND `name` = 'global-industry-new-landscape-2026' AND `status` IN ('1','2') LIMIT 1 [ RunTime:0.012097s ]
  14. SELECT * FROM `g3ys_document` WHERE ( `name` = '7725' OR `id` = '7725' ) AND `subsite_id` = 37 LIMIT 1 [ RunTime:0.033972s ]
  15. SHOW TABLES LIKE 'g3ys_document_article' [ RunTime:0.005445s ]
  16. SHOW FULL COLUMNS FROM `g3ys_document_article` [ RunTime:0.006538s ]
  17. SELECT * FROM `g3ys_document_article` WHERE `document_id` = '7725' LIMIT 1 [ RunTime:0.001114s ]
  18. SHOW FULL COLUMNS FROM `g3ys_total` [ RunTime:0.008026s ]
  19. SELECT * FROM `g3ys_total` WHERE `target_id` = '7725' LIMIT 1 [ RunTime:0.001776s ]
  20. SHOW TABLES LIKE 'g3ys_document_article_lang' [ RunTime:0.008324s ]
  21. SHOW FULL COLUMNS FROM `g3ys_document_article_lang` [ RunTime:0.008537s ]
  22. SELECT * FROM `g3ys_document_article_lang` WHERE `subsite_id` = '37' AND `lang` = 'en' AND `document_id` = '7725' [ RunTime:0.033895s ]
  23. SHOW FULL COLUMNS FROM `g3ys_document_article_lang` [ RunTime:0.008624s ]
  24. SHOW TABLES LIKE 'g3ys_category_lang' [ RunTime:0.006483s ]
  25. SHOW FULL COLUMNS FROM `g3ys_category_lang` [ RunTime:0.004446s ]
  26. SELECT * FROM `g3ys_category_lang` WHERE `subsite_id` = '37' AND `category_id` = '1434' AND `lang` = 'en' LIMIT 1 [ RunTime:0.001468s ]
  27. SELECT * FROM `g3ys_total` WHERE `target_id` = '7725' LIMIT 1 [ RunTime:0.000969s ]
  28. UPDATE `g3ys_total` SET `view_total` = `view_total` + 1 WHERE `target_id` = '7725' [ RunTime:0.004182s ]
  29. SHOW FULL COLUMNS FROM `g3ys_record` [ RunTime:0.015541s ]
  30. SELECT `id` FROM `g3ys_record` WHERE `subsite_id` = '37' AND `type` = 'article' AND `url` = 'https://www.setmal.asia/global-industry-new-landscape-2026' AND `create_time` >= 1792129190 AND ( `visitor_id` = '87fb8ab8ae1f602ebccc239816ce19dc' OR `session_id` = '562e4deaefa28ff7769ceefd6157b247' ) LIMIT 1 [ RunTime:0.008046s ]
  31. INSERT INTO `g3ys_record` SET `subsite_id` = '37' , `uid` = '0' , `visitor_id` = '87fb8ab8ae1f602ebccc239816ce19dc' , `session_id` = '562e4deaefa28ff7769ceefd6157b247' , `type` = 'article' , `target_id` = '7725' , `target_type` = 0 , `category_id` = '1434' , `title` = 'Global Industry New Landscape: Investment Opportunities and Challenges in AI, New Energy, and Biotechnology Fields in October 2026' , `url` = 'https://www.setmal.asia/global-industry-new-landscape-2026' , `path` = '/global-industry-new-landscape-2026' , `query_string` = '' , `referer` = '' , `referer_domain` = '' , `source_type` = 'direct' , `source_domain` = '' , `search_engine` = '' , `search_keyword` = '' , `utm_source` = '' , `utm_medium` = '' , `utm_campaign` = '' , `utm_term` = '' , `utm_content` = '' , `ip` = '216.73.217.134' , `user_agent` = 'Mozilla/5.0 AppleWebKit/537.36 (KHTML, like Gecko; compatible; ClaudeBot/1.0; +claudebot@anthropic.com)' , `device_type` = 'pc' , `browser` = '其他' , `browser_version` = '' , `os` = '其他' , `os_version` = '' , `language` = '' , `is_spider` = 0 , `spider_name` = '' , `status_code` = 200 , `country` = '' , `province` = '' , `city` = '' , `district` = '' , `isp` = '' , `region_code` = '' , `geo_status` = 0 , `geo_time` = 0 , `create_time` = 1792129250 , `update_time` = 1792129250 [ RunTime:0.009457s ]
  32. SHOW FULL COLUMNS FROM `g3ys_comment` [ RunTime:0.011653s ]
  33. SELECT COUNT(*) AS think_count FROM `g3ys_comment` WHERE `target_id` = '7725' AND `pid` = '0' [ RunTime:0.001152s ]
  34. SHOW FULL COLUMNS FROM `g3ys_model` [ RunTime:0.020279s ]
  35. SELECT `id`,`name`,`title`,`field_group` FROM `g3ys_model` WHERE `extend` = 0 AND `id` <> 1 AND `subsite_id` IN ('0','37') AND `status` = 1 [ RunTime:0.018264s ]
  36. SHOW TABLES LIKE 'g3ys_paragraph' [ RunTime:0.006293s ]
  37. SHOW TABLES LIKE 'g3ys_paragraph_lang' [ RunTime:0.010369s ]
  38. SHOW TABLES LIKE 'g3ys_gallery' [ RunTime:0.008473s ]
  39. SHOW TABLES LIKE 'g3ys_gallery_lang' [ RunTime:0.014115s ]
  40. SHOW TABLES LIKE 'g3ys_video' [ RunTime:0.016529s ]
  41. SHOW TABLES LIKE 'g3ys_video_lang' [ RunTime:0.010978s ]
  42. SHOW TABLES LIKE 'g3ys_faq' [ RunTime:0.014066s ]
  43. SHOW TABLES LIKE 'g3ys_faq_lang' [ RunTime:0.015373s ]
  44. SHOW TABLES LIKE 'g3ys_blockquote' [ RunTime:0.011204s ]
  45. SHOW TABLES LIKE 'g3ys_blockquote_lang' [ RunTime:0.007224s ]
  46. SHOW TABLES LIKE 'g3ys_cards' [ RunTime:0.009611s ]
  47. SHOW TABLES LIKE 'g3ys_cards_lang' [ RunTime:0.006226s ]
  48. SHOW TABLES LIKE 'g3ys_objects' [ RunTime:0.005956s ]
  49. SHOW TABLES LIKE 'g3ys_objects_lang' [ RunTime:0.017283s ]
  50. SHOW TABLES LIKE 'g3ys_videos' [ RunTime:0.006276s ]
  51. SHOW TABLES LIKE 'g3ys_videos_lang' [ RunTime:0.006261s ]
  52. SHOW TABLES LIKE 'g3ys_audios' [ RunTime:0.008870s ]
  53. SHOW TABLES LIKE 'g3ys_audios_lang' [ RunTime:0.008464s ]
  54. SHOW TABLES LIKE 'g3ys_files' [ RunTime:0.016019s ]
  55. SHOW TABLES LIKE 'g3ys_files_lang' [ RunTime:0.008524s ]
  56. SHOW TABLES LIKE 'g3ys_richmedia' [ RunTime:0.004228s ]
  57. SHOW TABLES LIKE 'g3ys_richmedia_lang' [ RunTime:0.013750s ]
  58. SHOW FULL COLUMNS FROM `g3ys_paragraph` [ RunTime:0.005981s ]
  59. SELECT * FROM `g3ys_paragraph` WHERE `document_id` = 7725 AND `subsite_id` = '37' AND `status` = 1 ORDER BY `sort` ASC,`id` ASC [ RunTime:0.003432s ]
  60. SHOW FULL COLUMNS FROM `g3ys_gallery` [ RunTime:0.005508s ]
  61. SELECT * FROM `g3ys_gallery` WHERE `document_id` = 7725 AND `subsite_id` = 37 AND `status` = 1 ORDER BY `sort` ASC,`id` ASC [ RunTime:0.001371s ]
  62. SHOW FULL COLUMNS FROM `g3ys_video` [ RunTime:0.005955s ]
  63. SELECT * FROM `g3ys_video` WHERE `document_id` = 7725 AND `subsite_id` = 37 AND `status` = 1 ORDER BY `sort` ASC,`id` ASC [ RunTime:0.003356s ]
  64. SHOW FULL COLUMNS FROM `g3ys_faq` [ RunTime:0.008538s ]
  65. SELECT * FROM `g3ys_faq` WHERE `document_id` = 7725 AND `subsite_id` = 37 AND `status` = 1 ORDER BY `sort` ASC,`id` ASC [ RunTime:0.004146s ]
  66. SHOW FULL COLUMNS FROM `g3ys_blockquote` [ RunTime:0.012469s ]
  67. SELECT * FROM `g3ys_blockquote` WHERE `document_id` = 7725 AND `subsite_id` = 37 AND `status` = 1 ORDER BY `sort` ASC,`id` ASC [ RunTime:0.004454s ]
  68. SHOW FULL COLUMNS FROM `g3ys_cards` [ RunTime:0.010711s ]
  69. SELECT * FROM `g3ys_cards` WHERE `document_id` = 7725 AND `subsite_id` = '37' AND `status` = 1 ORDER BY `sort` ASC,`id` ASC [ RunTime:0.010413s ]
  70. SHOW FULL COLUMNS FROM `g3ys_objects` [ RunTime:0.014156s ]
  71. SELECT * FROM `g3ys_objects` WHERE `document_id` = 7725 AND `subsite_id` = '37' AND `status` = 1 ORDER BY `sort` ASC,`id` ASC [ RunTime:0.012898s ]
  72. SHOW FULL COLUMNS FROM `g3ys_videos` [ RunTime:0.016166s ]
  73. SELECT * FROM `g3ys_videos` WHERE `document_id` = 7725 AND `subsite_id` = '37' AND `status` = 1 ORDER BY `sort` ASC,`id` ASC [ RunTime:0.005879s ]
  74. SHOW FULL COLUMNS FROM `g3ys_audios` [ RunTime:0.026252s ]
  75. SELECT * FROM `g3ys_audios` WHERE `document_id` = 7725 AND `subsite_id` = '37' AND `status` = 1 ORDER BY `sort` ASC,`id` ASC [ RunTime:0.004896s ]
  76. SHOW FULL COLUMNS FROM `g3ys_files` [ RunTime:0.011480s ]
  77. SELECT * FROM `g3ys_files` WHERE `document_id` = 7725 AND `subsite_id` = '37' AND `status` = 1 ORDER BY `sort` ASC,`id` ASC [ RunTime:0.005404s ]
  78. SHOW FULL COLUMNS FROM `g3ys_richmedia` [ RunTime:0.017333s ]
  79. SELECT * FROM `g3ys_richmedia` WHERE `document_id` = 7725 AND `subsite_id` = '37' AND `status` = 1 ORDER BY `sort` ASC,`id` ASC [ RunTime:0.014082s ]
  80. SELECT * FROM `g3ys_document` WHERE `category_id` = 1434 AND `subsite_id` = 37 AND `pid` = '0' AND `status` = '1' AND ( ( sort > 0) or ( sort = 0 and id < 7725) ) ORDER BY `sort` ASC,`id` DESC LIMIT 1 [ RunTime:0.021099s ]
  81. SELECT * FROM `g3ys_document` WHERE `category_id` = 1434 AND `subsite_id` = 37 AND `pid` = '7699' AND `status` = '1' ORDER BY `sort` ASC,`id` DESC LIMIT 1 [ RunTime:0.017716s ]
  82. SELECT * FROM `g3ys_document_article_lang` WHERE `subsite_id` = '37' AND `lang` = 'en' AND `document_id` = '7699' [ RunTime:0.070692s ]
  83. SELECT * FROM `g3ys_document` WHERE `category_id` = 1434 AND `subsite_id` = 37 AND `pid` = '7725' AND `status` = '1' AND `document_type` = 0 ORDER BY `sort` DESC,`id` ASC LIMIT 1 [ RunTime:0.007538s ]
  84. SELECT * FROM `g3ys_document` WHERE `category_id` = 1434 AND `subsite_id` = 37 AND `pid` = '0' AND `status` = '1' AND `document_type` = 0 AND ( ( sort>0 and sort <= 0 and id!=7725) or ( sort = 0 and id > 7725) ) ORDER BY `sort` DESC,`id` ASC LIMIT 1 [ RunTime:0.005799s ]
  85. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '37' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.002067s ]
  86. SHOW FULL COLUMNS FROM `g3ys_file` [ RunTime:0.007299s ]
  87. SELECT * FROM `g3ys_file` WHERE `status` = 1 AND `id` = 7660 LIMIT 1 [ RunTime:0.001691s ]
  88. SHOW FULL COLUMNS FROM `g3ys_ad_location` [ RunTime:0.011059s ]
  89. SELECT * FROM `g3ys_ad_location` WHERE `name` = 'ad-detail-full' AND `subsite_id` = '37' AND `status` = 1 LIMIT 1 [ RunTime:0.004877s ]
  90. SHOW FULL COLUMNS FROM `g3ys_ad` [ RunTime:0.010373s ]
  91. SELECT * FROM `g3ys_ad` WHERE `subsite_id` = '37' AND `ad_location_id` = '70' AND `status` = 1 AND `device` IN ('all','pc') AND ( `start_time` = 0 OR `start_time` <= 1792129251 ) AND ( `end_time` = 0 OR `end_time` >= 1792129251 ) ORDER BY `sort` DESC,`id` DESC [ RunTime:0.004000s ]
  92. SHOW FULL COLUMNS FROM `g3ys_ad_lang` [ RunTime:0.007788s ]
  93. SELECT * FROM `g3ys_ad_lang` WHERE `ad_id` = 70 AND `subsite_id` = '37' AND `lang` = 'en' [ RunTime:0.002019s ]
  94. SHOW FULL COLUMNS FROM `g3ys_ad_lang` [ RunTime:0.006170s ]
  95. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '37' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.002306s ]
  96. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '37' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.003270s ]
  97. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '37' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.001563s ]
  98. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '37' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.001316s ]
1.522035s