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报告导航:研究报告—
制造业—汽车
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2015-2020年全球及中国语音识别行业研究报告 |
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字数:3.6万 |
页数:104 |
图表数:103 |
中文电子版:8000元 |
中文纸版:4000元 |
中文(电子+纸)版:8500元 |
英文电子版:2200美元 |
英文纸版:2400美元 |
英文(电子+纸)版:2500美元 |
编号:ZLC030
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发布日期:2016-04 |
附件:下载 |
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目前,全球智能语音行业在大数据、移动互联网、云计算等技术的发展推动下,已进入快速应用阶段。2014年,全球智能语音市场规模达47.5亿美元,估计2015年达62.1亿美元,同比增长30.7%。
2010年前后,随着谷歌、微软、苹果等互联网巨头的强势介入,全球智能语音行业逐步由寡头垄断演变成垄断竞争格局。2015年,语音识别龙头企业Nuance的市场份额为31.1%,虽仍居第一,但份额已大幅下降;而谷歌、微软、苹果及科大讯飞市场份额增长较快,分别达到20.7%、13.4%、12.9和6.7%。
受国家政策支持以及下游行业需求增长影响,中国智能语音产业也迅速发展起来,市场规模逐步扩大。2015年,中国智能语音市场规模估计达46.8亿元,同比增长53.1%,占全球市场的12%左右。
中国传统语音识别企业大多依托国内科研院所占据智能语音市场一席之地,而新兴企业则大多通过融资的方式加快布局智能语音产业。目前,中国智能语音市场被科大讯飞、百度和苹果占据绝大多数市场份额(2015年,三者市场份额合计达79%)。为占据一定的市场先机,中国语音识别企业纷纷开始布局智能车载、智能家具、可穿戴设备等细分市场。
在智能车载领域,Nuance、苹果、谷歌、微软、科大讯飞、百度等语音识别巨头分别推出Dragon Drive车载语音开发平台、CarPlay、AndroidAuto、Windows in the Car、汽车语点系统、CarLife等智能车载系统,并纷纷与汽车厂商达成合作,抢占智能车载新兴市场。

随着语音识别技术在智能车载、智能家具、可穿戴设备等下游领域的深入应用,未来全球以及中国智能语音市场规模将保持快速增长态势,预计到2020年全球市场规模将达191.7亿美元,中国市场规模达251.4亿元。
《2015-2019年中国语音识别行业研究报告》主要包括以下内容:
全球智能语音行业发展概况,包括发展历程、发展现状、经营模式、竞争格局;
中国智能语音行业发展概况,包括发展现状、相关政策、竞争格局;
语音识别技术细分市场,包括智能车载、智能手机、个人电脑、智能家居、可穿戴设备等细分市场发展概况,以及各语音识别企业在细分领域的布局情况;
国外7家、中国10家语音识别相关企业介绍,包括语音识别业务以及在汽车领域的应用情况。
Propelled by big data, mobile Internet, cloud computing, and other technologies, global intelligent voice industry has entered the stage of rapid application. Global intelligent voice market size was USD4.75 billion in 2014 and is predicted to grow 30.7% from a year ago to hit USD6.21 billion in 2015.
With intense involvement of Internet giants including Google, Microsoft, and Apple around 2010, global intelligent voice industry has gradually evolved from oligopoly to monopolistic competition. In 2015, speech recognition leader Nuance still took the first place with a market share of 31.1% but suffered a significant decline; Google, Microsoft, Apple, and IFLYTEK witnessed rapid share growth, standing at 20.7%, 13.4%, 12.9%, and 6.7%, respectively.
Thanks to national policy support and demand growth from downstream sectors, China’s intelligent voice industry also flourishes with an ever-expanding market size. In 2015, the Chinese intelligent voice market scale was estimated at RMB4.68 billion, a year-on-year surge of 53.1%, making up around 12% of the global market.
Traditional Chinese speech recognition companies mostly take a place in intelligent voice market by relying on domestic scientific research institutions, while new firms largely accelerate their presence in intelligent voice industry via financing. The majority of the Chinese intelligent voice market is held by iFLYTEK, Baidu, and Apple (a combined 79% share in 2015). To gain an advantage in market competition, Chinese speech recognition players have flooded into market segments such as intelligent in-vehicle, smart home, and wearable devices.
In intelligent in-vehicle field, speech recognition giants Nuance, Apple, Google, Microsoft, iFLYTEK, and Baidu have launched Dragon Drive in-vehicle speech development platform, CarPlay, AndroidAuto, Windows in the Car, Auto Speech System, and CarLife, respectively, and cooperated with carmakers to grab emerging intelligent in-vehicle market.

As the application of speech recognition technology in intelligent in-vehicle, smart home, and wearable devices goes deeper, global and Chinese intelligent voice market will maintain the momentum of rapid growth, reaching estimated USD19.17 billion and RMB25.14 billion in 2020, respectively.
Global and China Speech Recognition Industry Report, 2015-2020 highlights the followings:
Global intelligent voice industry (development history, status quo, business model, competitive landscape);
China’s intelligent voice industry (current development, relevant policies, competitive landscape);
Market segments of speech recognition technology (development of intelligent in-vehicle, smartphone, PC, smart home, and wearable devices, and speech recognition companies’ layout in these segments);
7 foreign and 10 Chinese speech recognition technology-related companies (speech recognition business and application in automotive field).
第一章 语音识别技术 1.1 定义及分类 1.2 技术原理 1.3 产业链
第二章 全球智能语音行业发展综述 2.1 发展历程 2.2 发展现状 2.3 经营模式 2.4 竞争格局
第三章 中国智能语音行业发展概况 3.1 发展现状 3.2 相关政策 3.3 竞争格局
第四章 语音识别行业细分市场 4.1 智能车载 4.2 智能手机 4.3 个人电脑 4.4 智能家居 4.5 可穿戴设备
第五章 国外语音识别主要企业 5.1 Nuance 5.1.1 公司简介 5.1.2 经营情况 5.1.3 营收构成 5.1.4 研发 5.1.5 语音识别业务 5.1.6 汽车领域应用 5.2 苹果 5.2.1 公司简介 5.2.2 经营情况 5.2.3营收构成 5.2.4 研发 5.2.5 语音识别业务 5.2.6 汽车领域应用 5.3 Google 5.3.1 公司简介 5.3.2 经营情况 5.3.3 营收构成 5.3.4 研发 5.3.5 语音识别 5.3.6 汽车领域应用 5.4 微软 5.4.1 公司简介 5.4.2 经营情况 5.4.3 营收构成 5.4.4 研发 5.4.5 语音识别 5.4.6 汽车领域应用 5.5 IBM 5.5.1 公司简介 5.5.2 语音识别 5.6 MindMeld 5.7 Speaktoit
第六章 中国语音识别主要企业 6.1 科大讯飞 6.1.1 公司简介 6.1.2 经营情况 6.1.3 营收构成 6.1.4 毛利率 6.1.5 研发与投资 6.1.6 语音识别业务 6.1.7 汽车领域应用 6.1.8 预测与展望 6.2 百度 6.2.1 公司简介 6.2.2 经营情况 6.2.3 营收构成 6.2.4 研发 6.2.5 语音识别业务 6.2.6 汽车领域应用 6.3 思必驰 6.3.1 公司简介 6.3.2 语音识别业务 6.3.3 汽车领域应用 6.4 云知声 6.4.1 公司简介 6.4.2 语音识别业务 6.4.3 汽车领域应用 6.5 中科信利 6.5.1 公司简介 6.5.2 语音识别业务 6.5.3 主要客户 6.6 捷通华声 6.6.1 公司简介 6.6.2 经营情况 6.6.3 营收构成 6.6.4 毛利率 6.6.5 研发 6.6.6 语音识别业务 6.6.7 汽车领域应用 6.6.8 预测与展望 6.7 中科模识 6.7.1 公司简介 6.7.2 经营情况 6.7.3 语音识别技术 6.8 出门问问 6.8.1 公司简介 6.8.2 经营情况 6.9 得意音通 6.9.1 公司简介 6.9.2 语音识别 6.10 车音网 6.10.1 公司简介 6.10.2 汽车领域应用
第七章 总结与预测 7.1 整体市场 7.2 竞争格局 7.2.1 Nuance市场份额下降,积极开拓新兴市场 7.2.2 google 后来者居上,用户流是其最大优势 7.2.3 微软语音应用全面开花 7.2.4 SIRI在苹果的帮助下,其用户认知度最高 7.2.5 IBM用户体验跟不上,逐步淡出 7.2.6 科大讯飞中国语音龙头,无人撼动
1 Speech Recognition Technology 1.1 Definition and Classification 1.2 Technical Principle 1.3 Industry Chain
2 Global Intelligent Voice Industry 2.1 Development History 2.2 Status Quo 2.3 Business Model 2.4 Competitive Landscape
3 Intelligent Voice Industry in China 3.1 Status Quo of Development 3.2 Relevant Policies 3.3 Competitive Landscape
4 Market Segments 4.1 Intelligent In-vehicle 4.2 Smartphone 4.3 PC 4.4 Smart Home 4.5 Wearable Devices
5 Major Foreign Speech Recognition Players 5.1 Nuance 5.1.1 Profile 5.1.2 Operation 5.1.3 Revenue Structure 5.1.4 R&D 5.1.5 Speech Recognition Business 5.1.6 Application in Automotive Field 5.2 Apple 5.2.1 Profile 5.2.2 Operation 5.2.3Revenue Structure 5.2.4 R&D 5.2.5 Speech Recognition Business 5.2.6 Application in Automotive Field 5.3 Google 5.3.1 Profile 5.3.2 Operation 5.3.3 Revenue Structure 5.3.4 R&D 5.3.5 Speech Recognition 5.3.6 Application in Automotive Field 5.4 Microsoft 5.4.1 Profile 5.4.2 Operation 5.4.3 Revenue Structure 5.4.4 R&D 5.4.5 Speech Recognition 5.4.6 Application in Automotive Field 5.5 IBM 5.5.1 Profile 5.5.2 Speech Recognition 5.6 MindMeld 5.7 Speaktoit
6 Major Chinese Speech Recognition Companies 6.1 iFlyTek 6.1.1 Profile 6.1.2 Operation 6.1.3 Revenue Structure 6.1.4 Gross Margin 6.1.5 R&D and Investment 6.1.6 Speech Recognition Business 6.1.7 Application in Automotive Field 6.1.8 Forecast and Outlook 6.2 Baidu 6.2.1 Profile 6.2.2 Operation 6.2.3 Revenue Structure 6.2.4 R&D 6.2.5 Speech Recognition Business 6.2.6 Application in Automotive Field 6.3 AI Speech 6.3.1 Profile 6.3.2 Speech Recognition Business 6.3.3 Application in Automotive Field 6.4 Unisound 6.4.1 Profile 6.4.2 Speech Recognition Business 6.4.3 Application in Automotive Field 6.5 ThinkIT 6.5.1 Profile 6.5.2 Speech Recognition Business 6.5.3 Major Customers 6.6 SinoVoice 6.6.1 Profile 6.6.2 Operation 6.6.3 Revenue Structure 6.6.4 Gross Margin 6.6.5 R&D 6.6.6 Speech Recognition Business 6.6.7Application in Automotive Field 6.6.8 Forecast and Outlook 6.7 Pattek 6.7.1 Profile 6.7.2 Operation 6.7.3 Speech Recognition Technology 6.8 Mobvoi (Chumenwenwen) 6.8.1 Profile 6.8.2 Operation 6.9 d-Ear 6.9.1 Profile 6.9.2 Speech Recognition 6.10 Vcyber 6.10.1 Profile 6.10.2 Application in Automotive Field
7 Summary and Forecast 7.1 Overall Market 7.2 Competitive Landscape 7.2.1 Nuance: Declining Market Share; Actively Explores Emerging Markets 7.2.2 Google: A Latecomer Getting Ahead of Others; Its Biggest Advantage Lies in User Flows 7.2.3 Microsoft: Blossoming of Voice Application 7.2.4 SIRI: Higher Users’ Awareness Helped by Apple 7.2.5 IBM: Gradual Fading-out Because of Poor User Experience 7.2.6 iFlyTek: Unshakeable Speech Recognition Leader in China
图:声纹识别流程图 图:智能语音人机交互产业链 表:语音技术发展水平 表:全球智能语音行业发展历程 图:2011-2015年全球智能语音市场规模 表:全球语音识别企业语音识别产品及其应用领域 表:全球语音识别企业主要并购案例 表:语音识别行业经营模式 图:2012年全球智能语音企业市场份额 图:2015年全球智能语音企业市场份额 图:2013-2015年中国智能语音市场规模 表:2010-2015年中国语音识别行业相关政策 图:中国主要语音识别企业及其支撑科研院所 图:2012年中国智能语音企业市场份额 图:2015年中国智能语音企业市场份额 表:中国语音识别主要企业融资案例 图:2012-2015年全球汽车产量 图:2012-2015年中国乘用车产销量 图:2012-2015年中国汽车保有量 表:全球语音识别主要企业智能车载产品及其客户 表:全球语音识别企业手机映射系统对比 表:全球语音识别企业智能车载布局 图:2013-2015年全球智能手机出货量及同比增长率 图:2013-2015年中国智能手机出货量及同比增长率 表:全球主要语音助手产品对比分析 图:2012-2015年全球PC出货量及同比增长率 图:智能语音技术在智能家居中的应用 图:2013-2015年中国可穿戴设备行业市场规模及同比增长率 表:全球主要语音识别企业的可穿戴设备 图:FY2012-2015年Nuance营业收入及净利润 图:FY2012-2015年Nuance营业收入(分业务) 图:FY2012-2015年Nuance营业收入构成(分业务) 图:FY2013-2015年Nuance营业收入(分地区) 图:FY2012-2015年Nuance研发支出 表:Nuance主要合作伙伴 表:Nuance的Dragon Drive汽车助手主要功能 图:FY2013-2015年苹果营业收入及净利润 图:FY2013-2015年苹果营业收入(分地区) 图:FY2013-2015年苹果营业收入构成(分地区) 图:FY2013-2015年苹果营业收入(分产品) 图:FY2013-2015年苹果营业收入构成(分产品) 图:FY2013-2015年苹果主要产品销量 图:FY2013-2015年苹果研发支出 图:2011-2015年Google营业收入及净利润 图:2013-2015年Google营业收入(分产品) 图:2013-2015年Google营业收入构成(分产品) 图:2013-2015年Google营业收入(分地区) 图:2013-2015年Google营业收入构成(分地区) 图:2013-2015年Google研发支出 图:FY2011-2015年微软营业收入及净利润 图:FY2013-2015年微软营业收入(分部门) 图:FY2013-2015年微软营业收入构成(分部门) 图:FY2013-2015年微软研发支出 图:MindMeld的主要投资者 表:科大讯飞商业模式 图:2012-2015年科大讯飞营业收入及净利润 表:2012-2015年科大讯飞营业收入(分产品) 图:2012-2015年科大讯飞营业收入构成(分产品) 图:2013-2015年科大讯飞营业收入(分地区) 图:讯飞主要产品 图:2013-2015年科大讯飞毛利率(分产品) 图:2012-2015年科大讯飞研发支出 表:2015年科大讯飞非公开发行股票募投项目 图:InterReco产品主工功能组成模块和结构 表:Aitalk 3.0产品功能 图:InterVeri 2.1 产品主要功能组成模块和组成结构 图:2015-2020E科大讯飞营业收入及净利润 图:2012-2015年百度营业收入及净利润 图:2012-2015年百度营业收入(分产品) 图:2012-2015年百度营收构成(分产品) 图:2012-2015年百度研发支出 图:百度语音合作伙伴 表:云知声主要解决方案 图:云知声主要合作伙伴 表:云知声智能车载经典案例 表:中科信利股权结构 图:中科信利语音识别引擎性能指标 表:中科信利语音识别引擎技术特点 表:中科信利声纹识别性能指标 图:中科信利合作伙伴 表:捷通华声发展历程 图:2013-2015年捷通华声营业收入及净利润 图:2013-2015年捷通华声营业收入(分产品) 图:2013-2015年捷通华声营业收入构成(分产品) 表:2013-2015年捷通华声前五名客户 表:2015年捷通华声重大销售合同 图:2013-2015年捷通华声毛利率 图:2013-2015年捷通华声研发支出 图:捷通华声主要客户 表:捷通华声语音识别在汽车领域应用案例 图:2014-2020E捷通华声营业收入及净利润 图:2013-2014年中科模识财务指标 表:出门问问发展历程 表:出门问问股权结构 表:出门问问财务指标 表:得意音通主要语音识别相关产品 图:车音网主要合作伙伴 表:车音网语驾幻影合作模式 图:2015-2020E全球智能语音市场规模 图:2015-2020E中国智能语音市场规模 表:Nuance收购创新企业丰富自身产品线 表:谷歌在智能语音领域的收购动作 图:2015年TEC Hnalysis Research调查Google Now市场份额
Voiceprint Recognition Flowchart Intelligent Voice Human-Computer Interaction Industry Chain Level of Voice Technology Development Development History of Global Intelligent Voice Industry Global Intelligent Voice Market Size, 2011-2015 Speech Recognition Products of Global Speech Recognition Companies and Their Applications Major M&A Cases of Global Speech Recognition Companies Business Model of Speech Recognition Industry Market Share of Global Intelligent Voice Companies, 2012 Market Share of Global Intelligent Voice Companies, 2015 China’s Intelligent Voice Market Size, 2013-2015 Policies on Chinese Speech Recognition Industry, 2010-2015 Major Chinese Speech Recognition Companies and Related Research Institutes Market Share of Chinese Intelligent Voice Companies, 2012 Market Share of Chinese Intelligent Voice Companies, 2015 Financing Cases of Major Chinese Speech Recognition Companies Global Automobile Output, 2012-2015 China’s Passenger Vehicle Output and Sales Volume, 2012-2015 China’s Automobile Ownership, 2012-2015 Intelligent In-vehicle Products of Major Global Speech Recognition Companies and Their Customers Comparison of Mobile Mapping System of Global Speech Recognition Enterprises Intelligent In-vehicle Layout of Global Speech Recognition Enterprises Global Smartphone Shipments and YoY Growth Rate, 2013-2015 China’s Smartphone Shipments and YoY Growth Rate, 2013-2015 Comparison of Major Global Voice Assistant Products Global PC Shipments and YoY Growth Rate, 2012-2015 Application of Intelligent Voice Technology in Smart Home Market Size and YoY Growth Rate of China’s Wearable Device Industry, 2013-2015 Wearable Devices of Major Global Speech Recognition Enterprises Revenue and Net Income of Nuance, FY2012-FY2015 Revenue Breakdown of Nuance (By Business), FY2012-FY2015 Revenue Structure of Nuance (By Business), FY2012-FY2015 Revenue Breakdown of Nuance (By Region), FY2013-FY2015 R&D Costs of Nuance, FY2012-FY2015 Major Partners of Nuance Main Functions of Nuance’s Dragon Drive Automotive Assistant Revenue and Net Income of Apple, FY2013-FY2015 Revenue Breakdown of Apple (by Region), FY2013-FY2015 Revenue Structure of Apple (by Region), FY2013-FY2015 Revenue Breakdown of Apple (by Product), FY2013-FY2015 Revenue Breakdown of Apple (by Product), FY2013-FY2015 Sales Volume of Apple’s Main Products, FY2013-FY2015 R&D Costs of Apple, FY2013-FY2015 Revenue and Net Income of Google, 2011-2015 Revenue Breakdown of Google (by Product), 2013-2015 Revenue Structure of Google (by Product), 2013-2015 Revenue Breakdown of Google (by Region), 2013-2015 Revenue Structure of Google (by Region), 2013-2015 R&D Costs of Google, 2013-2015 Revenue and Net Income of Microsoft, FY2011-FY2015 Revenue Breakdown of Microsoft (by Division), FY2013-FY2015 Revenue Structure of Microsoft (by Division), FY2013-FY2015 R&D Costs of Microsoft, FY2013-FY2015 Major Investors of MindMeld Business Model of iFLYTEK Revenue and Net Income of iFLYTEK, 2012-2015 Revenue Breakdown of iFLYTEK (by Product), 2012-2015 Revenue Structure of iFLYTEK (by Product), 2012-2015 Revenue Breakdown of iFLYTEK (by Region), 2013-2015 Main Products of iFLYTEK Gross Margin of iFLYTEK (by Product), 2013-2015 R&D Costs of iFLYTEK, 2012-2015 Non-Public Offering Fundraising Projects of iFLYTEK, 2015 Function Component Modules and Structure of InterReco Function of Aitalk 3.0 Function Component Modules and Structure ofInterVeri 2.1 Revenue and Net Income of iFLYTEK, 2015-2020E Revenue and Net Income of Baidu, 2012-2015 Revenue Breakdown of Baidu (by Product), 2012-2015 Revenue Structure of Baidu (by Product), 2012-2015 R&D Costs of Baidu, 2012-2015 Cooperative Partners of Baidu Speech Main Solutions of Unisound Major Partners of Unisound Intelligent Vehicular Cases of Unisound Ownership Structure of ThinkIT Performance Indicators of ThinkITSpeech Recognition Engine Technical Features of ThinkITSpeech Recognition Engine Performance Indicators of ThinkIT Voiceprint Recognition Cooperative Partners of ThinkIT Development History of SinoVoice Revenue and Net Income of SinoVoice, 2013-2015 Revenue Breakdown of SinoVoice (by Product), 2013-2015 Revenue Structure of SinoVoice (by Product), 2013-2015 Top 5 Customers of SinoVoice, 2013-2015 Major Sales Contracts of SinoVoice, 2015 Gross Margin of SinoVoice, 2013-2015 R&D Costs of SinoVoice, 2013-2015 Major Customers of SinoVoice SinoVoice’s Speech Recognition Applications in Automotive Field Revenue and Net Income of SinoVoice, 2014-2020E Financial Indicators of Pattek, 2013-2014 Development History of Mobvoi Ownership Structure of Mobvoi Financial Indicators of Mobvoi Main Speech Recognition Related Products of d-Ear Major Partners of Vcyber Cooperation Model of VcyberYujiahuanying Global Intelligent Voice Market Size, 2015-2020E Chinese Intelligent Voice Market Size, 2015-2020E Nuance’s Acquisition of Innovation-oriented Enterprise to Enrich Product Line Google’s Acquisitions in Intelligent Voice Field Google Now’s Market Share Investigated by TEC Hnalysis Research, 2015
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