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20161122_DTiii:数据赋能,智能无限--中国人工智能发展报告2016.pdf

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1、as corporations actively invest in VC-backed companies. Note: Report includes all rounds to VC-backed companies Mega-deals to VC-backed companies from hedge funds or mutual funds would be included, for example. This report includes all of those rounds. All data is sourced from CB Insights. Page 99 d

2、etails the rules and definitions used.6 #Q3VC 2016 KPMG International Cooperative (“KPMG International”), a Swiss entity. Member firms of the KPMG network of independent firms are affiliated with KPMG International. KPMG International provides no client services. No member firm has any authority to

3、obligate or bind KPMG International or any other member firm vis-vis third parties, nor does KPMG International have any such authority to obligate or bind any member firm. All rights reserved. ASIA SLOWDOWN CONTINUES AS INVESTORS PULL BACK Asia funding, deals dip: Deals slid a further 5% to 323, ma

4、rking the fourth-straight quarterly decline. Funding dollars totaled $7.2B, a 3% dip from Q216 cushioned by large rounds to on-demand companies like Grab and Go-Jek. Seed deal share plunges: After 3 quarters of growth in the seed share of deals into VC-backed Asian companies, Q316 saw a sharp declin

5、e to 29% from 40% the quarter before. Median late-stage deal size plummets: Q316 saw a steep drop in Asian late-stage deal size, which cratered to $30M. This median is down 70% from last quarter and 80% from the peak of Q415. India financing recovers somewhat: A dearth of mega- rounds pushed India f

6、unding below $600M in Q216, but Q316 saw the total rise above $1B once more. However, this is still well below the $3.4B figure of Q315. Corporates in nearly half of Asian deals: Corporate and CVC participation in Asian deals was already high relative to other regions, but hit 45% for the quarter wi

7、th corporates like Tencent and Intel Capital investing actively. EUROPE Q316 DEAL ACTIVITY RISES, BUT FUNDING DROPS BELOW $2.5B Mixed results in Europe: Q316 marked the second consecutive quarter that saw deal activity rising while funding dollars pulled back as mega-rounds remained few and far betw

8、een. Total funding came in at $2.3B across 468 deals. Seed-stage deal share remains strong: After plunging in Q116, seed share rebounded to nearly half of all deals in Q216. Q316 has maintained those levels, with seed deals representing 48% of the quarterly total. Early-stage deal size shrinks: As s

9、eed deal share rose, median early-stage deal sizes in Europe dropped for the second-consecutive quarter, falling to $1.5M for the quarter. UK deal, dollar activity see slight uptick: UK VC-backed startups raised $834M in funding across 110 deals, both numbers reversing a series of quarterly declines

10、 since Q415. Germany funding topped $500M: Total funding to German VC-backed startups rose 3% to $509M in Q316, growing for the second-straight quarter. Deal activity also saw slight gains. SUMMARY OF FINDINGS7 #Q3VC 2016 KPMG International Cooperative (“KPMG International”), a Swiss entity. Member

11、firms of the KPMG network of independent firms are affiliated with KPMG International. KPMG International provides no client services. No member firm has any authority to obligate or bind KPMG International or any other member firm vis-vis third parties, nor does KPMG International have any such aut

12、hority to obligate or bind any member firm. All rights reserved. In Q3 2016 GLOBALLY VC-backed companies raised $24.1 billion8 #Q3VC 2016 KPMG International Cooperative (“KPMG International”), a Swiss entity. Member firms of the KPMG network of independent firms are affiliated with KPMG Internationa

13、l. KPMG International provides no client services. No member firm has any authority to obligate or bind KPMG International or any other member firm vis-vis third parties, nor does KPMG International have any such authority to obligate or bind any member firm. All rights reserved. Stability returning

14、 to the VC market globally Whil唀(舀鴀%氀灼舁舀舀讀缁缀言螏頀h簀椀贂攃开愀爀琀渀攀爀敢聵譧瀀搀昀瀀椀挀最椀昀开愀爀琀渀攀爀敢聵譧瀀搀昀尀尀挀搀搀愀搀挀攀搀愀昀挀戀戀欀吀娀夀戀夀戀攀刀瘀栀伀圀爀戀琀樀渀爀匀渀愀琀挀氀爀礀戀礀眀匀开最愀爀琀渀攀爀耀謀愀昀戀攀愀攀搀愀搀昀戀愀搀搀搀戀敢聵譧稀瀀坥全桧晖恛愀洀瀀穝稀瀀瀀稀謀楎鸀鹳愀洀瀀娀鹳瀀坥坓愀洀瀀筒全瀀瀀愀洀瀀葧瀀坥聓獧钐襞桛葧稀瀀坥全琀穝魣葕腎琀萀掖蒕敢幾兾穝貀桧晖恛倀骖潛綂葖替恛蓿钐瀀湥晹啓譪煗藿獛幞兾豾荠豘譔煎穝貀桧晖恛晞恛葎啓譪譪稀倀倀谀穔讀楎著究娀鸀卛稀桡稀稀靓桧繒皚続晬轺稀覀桛稀倀倀桧娀稀纀稀倀倀竿轺蹛

15、托葎汝皚瀀湥豣遒齒枏遒蕧扎敓鱧犘拿豠鵔璌豻鱾瑫艞灷橸苿邀稀倀倀绿貕祑靲晶繛颕照廿葾豠蕙熚魔鱾稀讀楎啎譏楎穎蠀靓敝焀葧(舀鴀%氀灼舁舀舀讀缁缀言螏戀20161115_Gartner:2017十大战略技术趋势.pdfpic1.gif20161115_Gartner:2017十大战略技术趋势.pdf2019-76c357d0da-dc45-4492-8eda-f405977cb1b7J1kT/IZYKbYbeGKR3EvhOWr4bJBt08jnrS0n+a24Btcl3rHybywS2A=_gartner,10,大战,技术,趋势76af2b0e1a93edadf3b51ad8dd41643b201

16、7十大战略技术趋势 智能 数字化 格网 高级机器学习 &人工智能 智能 App 智能 事物 增强 现实 &虚拟现实 数字化双生 区块链 &已分配分类账 对话式系统 格网 App & 服务架构 数字化技术平台 自适应安全架构 智能 数字化格网 2020年,人工智能将成为服务提供商的主要战场 到 2020年, 20%的企业将雇佣专门的人才来训练神经网络 人工智能和机器学习 限定良好范围的目标 处理复杂性 理解,学习,预测,适应 自主行动 数据科学发展 模型驱动,内容即代码 深度神经网络和推理引擎 情境和事件驱动 人工智能和机器学习 深度学习的发展 传统模型 深度模型 智能 APP和智能事物:无处不

17、在的智能 虚拟 实体 不可见 可见 智能传感器 智能家居 智能医疗设备 机器人 无人机 自动驾驶汽车 运营程序 智能安全与运营 智能企业 APP 高级聊天机器人 虚拟助理 智能顾问 智能 APP:智能运营程序 机遇 对于汉堡面包生产的监控由人工转为自动化,提高并保证质量 数据和分析 每分钟通过照片分析超过 1000个面包来检查颜色,形态和芝麻分布 不断自动调整烤箱和流程 结果 每年节省数千万磅浪费 加速生产:节约能源 减少人工成本 智能 APP:顾问和助理 凯特林癌病 中心 肿瘤学顾问 高价值用户 复杂问题 杂乱,非结构性和重复内容 高影响力结果 智能事物:任何事物都可以智能化 消费者产品 医

18、疗产品 嵌入产品 AI前 AI驱动 架构师0001200001可研报告201907060812453270$唀(舀鴀%氀灼舁舀舀讀缁缀言螏頀h簀栀$20161115_Gartner:2017十大战略技术趋势.pdfpic1.gif20161115_Gartner:2017十大战略技术趋势.pdf2019-76c357d0da-dc45-4492-8eda-f405977cb1b7J1kT/IZYKbYbeGKR3EvhOWr4bJBt08jnrS0n+a24Btcl3rHybywS2A=_gartner,10,大战,技术,趋势76af2b0e1a93edadf3b51ad8dd41643b20

19、17十大战略技术趋势 智能 数字化 格网 高级机器学习 &人工智能 智能 App 智能 事物 增强 现实 &虚拟现实 数字化双生 区块链 &已分配分类账 对话式系统 格网 App & 服务架构 数字化技术平台 自适应安全架构 智能 数字化格网 2020年,人工智能将成为服务提供商的主要战场 到 2020年, 20%的企业将雇佣专门的人才来训练神经网络 人工智能和机器学习 限定良好范围的目标 处理复杂性 理解,学习,预测,适应 自主行动 数据科学发展 模型驱动,内容即代码 深度神经网络和推理引擎 情境和事件驱动 人工智能和机器学习 深度学习的发展 传统模型 深度模型 智能 APP和智能事物:无处

20、不在的智能 虚拟 实体 不可见 可见 智能传感器 智能家居 智能医疗设备 机器人 无人机 自动驾驶汽车 运营程序 智能安全与运营 智能企业 APP 高级聊天机器人 虚拟助理 智能顾问 智能 APP:智能运营程序 机遇 对于汉堡面包生产的监控由人工转为自动化,提高并保证质量 数据和分析 每分钟通过照片分析超过 1000个面包来检查颜色,形态和芝麻分布 不断自动调整烤箱和流程 结果 每年节省数千万磅浪费 加速生产:节约能源 减少人工成本 智能 APP:顾问和助理 凯特林癌病 中心 肿瘤学顾问 高价值用户 复杂问题 杂乱,非结构性和重复内容 高影响力结果 智能事物:任何事物都可以智能化 消费者产品 医疗产品 嵌入产品 AI前 AI驱动 架构师0001200001可研报告20190706081245327?

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