2013 年到 2017 年, 机器学习专利的复合年增长率(Compound Annual Growth Rate,CAGR) 为 34%, 是所有授予专利的第三大增长类别
International Data Corporation(IDC)预测, 人工智能和机器学习的支出将从 2017 年的 12 亿美元增长至 2021 年的 57.6 亿美元
Deloitte Global 预测, 与 2017 年相比, 2018 年机器学习试点和实施的数量将翻一番, 到 2020 年再翻一番
这些有趣的见解来自 Forbes 最新的机器学习市场预测市场估计和预测的最新系列机器学习对全球许多最重要的数据产业的潜在影响, 继续推动风险投资私募股权 (PE) 融资并购和收购, 这些都集中在赢得这一领域知识产权 (IP) 和专利的竞赛
机器学习 IP 发展最快的领域之一是定制芯片组的研发 Deloitte Global 预测今年全球数据中心将使用高达 80 万块机器学习芯片企业将在 2018 年加大对机器学习项目的研究投资和试点尽管这些方法在各种预测市场估计和预测方面有所不同, 但都反映了机器学习如何提高企业的敏锐度和洞察力, 使它们能够更快更有利地增长
从机器学习市场预测市场估计和预测的收集中得出的关键结论如下:
在商业智能 (BI) 和分析市场中, 支持机器学习的数据科学平台预计到 2021 年将以 13% 的复合年增长率增长 数据科学平台的表现将超过更广泛的商业智能和分析市场, 该市场预计在同一时期将以 8% 的复合年增长率增长数据科学平台的价值将从 2017 年的 3 亿美元增长到 2021 年的 4.8 亿美元
flamingo.ai/wp-content/
2013 年至 2017 年, 机器学习专利的复合年增长率为 34%, 是所有授予专利的第三大增长类别 IBMMicrosoftGoogleLinkedInFacebookIntel 以及 Fujitsu 是 2017 年最大的七家机器学习专利生产商
www.ificlaims.com/rankings-8-
61% 的机构最经常选择机器学习 / 人工智能作为公司明年最重要的数据计划 在这些表示积极使用机器学习和人工智能的受访机构中, 58% 的受访者表示他们在生产中使用了模型
blog.memsql.com/2018-outloo
包括 AmazonAppleGoogleTesla 和 Microsoft 在内的科技市场领军企业, 在机器学习和人工智能投资领域处于领先地位 每家企业都将机器学习设计成未来新一代的产品, 并使用机器学习和人工智能来改善客户体验并提高销售渠道的效率
www.atkearney.com/operations-
根据 Forrester 在 2017 年对 23 家企业应用的 14 项评估标准, SASIBM 和 SAP 在预测分析和机器学习市场占领先地位 Forrester 预测, 预测分析和机器学习 (Predictive Analytics & Machine Learning ,PAML) 市场将在 2021 年以 21% 的复合年增长率增长, 这点体现在客户咨询和客户采购活动的增加
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来源: https://juejin.im/post/5a9547ce6fb9a0634c269aae