China’s Tech-Driven Intelligent Connected Vehicles For The .

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China’s Tech-DrivenIntelligent、Connected Vehicles for the Next DecadeJuly 2020 Ipsos AUTOMOTIVE WHITEPAPER china-s3@ipsos.com

P R O J E C TD E S C R I P T I O NThe car of the future is being redefined The automotive industry is increasingly seeing new waves of promising ICT technologies such as artificial intelligence,connectivity solutions, 5G, cloud service, and more. Over the next 5-10 years, auto technology integration will befurther enhanced How will new technologies further empower the auto industry? How will new technologies redefine “the car of the future”? More importantly, how should auto OEMs identify opportunities and leverage technological trends to take the lead 2 ‒ Ipsos AUTOMOTIVE WHITEPAPER china-s3@ipsos.com

ICT technologies are penetrating across mobility scenarios1. Cloud Service5GTo collect, compute andanalyse significantamounts of big data5. 5G NetworkTo ensure ultra-low latencyand high-reliability of datatransmission4. ConnectedInfrastructureTo collect data fromvehicles, pedestrians,weather, etc. withsensors, camerasand radarsV2N2. AutonomousDrivingTo achieve full autonomousdriving in the long-termthrough AI, machinelearning and hardware withhigh computing capacity3. V2XV2VV2I3 ‒ Ipsos AUTOMOTIVE WHITEPAPER china-s3@ipsos.comV2PTo offer occupantsenjoyable, safe and highlyefficient ride experiences

KEY TOPICSINTELLIGENTCONNECTED VEHICLESKey milestones for intelligent connectedvehicles and future developmental directionsAUTONOMOUS DRIVINGCurrent status quo and future trends of ICVenabled AD in ChinaIMPLICATIONS FOR OEMsKey opportunities and challenges broughtabout by new technology integrations4 ‒ Ipsos AUTOMOTIVE WHITEPAPER china-s3@ipsos.com

GLOSSARYAbbreviationExplanationADAutonomous DrivingAOSAutomotive Operating SystemAIArtificial IntelligenceCVComputer VisionCVISCooperative Vehicle Infrastructure SystemECUElectronic Control UnitE/EAElectrical/Electronic ArchitectureICVIntelligent Connected VehicleLiDARLight Detection and RangingMaaSMobility as a ServiceNLPNatural Language ProcessingRadarRadio Detection and RangingTSPTelematics Service ProviderV2XVehicle to Everything5 ‒ Ipsos AUTOMOTIVE WHITEPAPER china-s3@ipsos.com

Intelligent Connected Vehiclesfuel the future of the automotive industry by transformingmechanical products into intelligent connected terminals6 ‒ Ipsos AUTOMOTIVE WHITEPAPER china-s3@ipsos.com

Stage 2 have currently achieved wide-spread adoptionmainly via individual digital terminals, while Stages 3 and 4are expected to gain more prominence in the next decadeDRIVING SAFETY & TRAFFIC EFFICIENCYINFOTAINMENT / TELEMATICS-ORIENTEDOut-vehicle connectionIn-vehicle interactionSTAGE 2Smartphone-empoweredconnectivitySTAGE 1Basic hardwareconnectivityLinks drivers’ externaldigital devices toachieve in-carinteractionMainly for vehiclemonitoring2009-20157 ‒ Ipsos AUTOMOTIVE WHITEPAPER china-s3@ipsos.com2020STAGE 3Live car-driverinteractionMultisensory interactionsfor occupants, such asvoice and gestures2025STAGE 4Real-time drivingsafety guardsProactive and precisedanger warnings andcollision avoidance in bothnormal and complexscenarios2030STAGE 5Holistic trafficoptimisationIntelligent decisionmaking empowered byAD function seamlesslyintegrates environmentalfactors for route selectionand modification2035-2050

Auto operating system upgrading and AI-drivenmultisensory function continue to drive ICV* developmentAs one of the key elements of the HMI (Human-Machine Interface) system, the AOS (AutoOperating System) plays an important role in addressing driver and occupant requirements.Most AOS (e.g. Apple CarPlay and Android Auto) currently still leverage external digitalterminals such as smartphone maps to achieve basic functions and interactions.AUTO OPERATING SYSTEMFurther modular integration, application ecosystem development and adoption of new AIderived technologies will enable independent, highly efficient and multisensory connectionsbetween cars, drivers and occupants.The evolution of AI will be very similar to that of the internet over the past 20 years, butit will happen faster: In 10 years, AI is expected to penetrate every aspect of human lifeand become a daily tool – a must for work, commuting, and life– Baidu, Business Intelligence ConsultantAI-DERIVED TECH ADOPTIONTo achieve multisensory interactions, AI-empowered applications (such as computer vision,voice and nature language processing) are expected to be widely adopted by the autoindustry8 ‒ Remark:Ipsos AUTOMOTIVEWHITEPAPER china-s3@ipsos.com*ICV refersto intelligentconnected vehicles

AOS is still at the development stage; further functioncomprehension and integration are expected by both OEMsand tech companiesKey development trends of AOS in ChinaA multi-functional applications ecosystem is emerging LINUXBoth hardware (e.g. vehicle control, power system) and software modules(e.g. infotainment/telematics) linked to AOS will be integrated into a fewdomains, which may help reduce energy consumptionIn the long run, an AOS-empowered digital cockpit with efficient humanmachine interaction will be achievedOEMs and tech companies are competing in the AOS market ANDROIDMore infotainment functions will be launched in AOS to enable enjoyableride experiences (e.g. integration of e-commerce platforms)Functions to further ensure driving safety and efficiency, such as emergencyalert as well as route selection and modification, will be launchedsynchronously with the process of AD developmentHardware and software modules will be further integrated Key AOS providers/OEMsTech companies (such as BATH*) are developing AOS by leveraging theirmobile application ecosystemOEMs have also started developing their own AOS to ensure data ownershipand business independence9 ‒ Remark: Ipsos AUTOMOTIVEWHITEPAPER china-s3@ipsos.com*BATH refersto Baidu,Alibaba, Tencentand HuaweiQNX

Mercedes-Benz and Alibaba are exploring different ways todevelop AOSTo ensure autonomy, Mercedes-Benz isinvesting heavily in AOS & softwaredevelopmentOla Kallenius, CEO of Mercedes-Benz, believes thatAOS really matters for an OEM’s future. MercedesBenz set up Mbition (a software developmentcompany) for MB.OS development in 2017 with theaim of applying it in all MB car models by 2024.Alibaba chose “AOS TSP*” integration to realiseuser-friendly HMI and to aggressively build up itsecosystemAliOS integrates the applications in Alibaba’s ecosystemwith its TSP server to realise one ID for all applicationsvia Alipay verification. This provides consumers withmore convenience and enables comprehensiveconsumer data collection.Through applying its own AOS, MB aims to offerbetter driving experiences, and enhance ownership ofits customers’ driving data. MB also has plans toexplore new revenue models via big data analysis,software upgrades, etc.In addition, Alibaba is developing AOS-based applicationsto achieve an in-car ecosystem that will also fully link withits existing ecosystem by leveraging one user ID.10 ‒ Remark: Ipsos AUTOMOTIVEWHITEPAPER china-s3@ipsos.com*TSP refersto telematicsservice providersCar models that apply AliOS are Roewe RX5, i6, Ei5, etc.

AI-derived technology applications are poised to furtherempower ICV multisensory live interactionsAI technology implications for ICVAI techCVVoiceRecognitionNLPPurposeTo extract info based on imagery,e.g. facial/image recognitionTech maturity is high: Accuracyrate hit 99% (Sense Time)To identify, distinguish andauthenticate the voice of anindividual speakerTech maturity is high: Accuracyrate hit 98% (Baidu)To automatically translate humanlanguage into specific actionsTech maturity is medium:Accuracy rate hit 70% (iFlytech)11 ‒ Ipsos AUTOMOTIVE WHITEPAPER china-s3@ipsos.com2020 scenario2030 scenarioIn-car: Face/gesturedetectionOut-car: Traffic light,traffic sign andpedestrian detectionWide-adoptionIntelligent voiceassistant that followsbasic voice instructionsWide-adoptionCan conduct humaninteractions at verybasic levels; bottlenecksstill exist, requiringfurther improvementsWith breakthrough inNLP, the intelligentvoice assistant willinteract with the driverin more humanisedways3 types of AI application providersare expected to co-exist andenhance cooperation in the future1. Universal Giants2. AI Application Specialists3. Industry-FocusedPlayers

Autonomous Drivingis the biggest thing since the InternetGeneral Motors, 2017Global PerspectiveSolutions (GPS)12 ‒ Source: Ipsos AUTOMOTIVEWHITEPAPER& china-s3@ipsos.com- Car of the Future - Citi

AD in China is aggressively moving from stage L2 to L3;L4/L5 are expected to be achieved in the next 5 to 10 yearsTimeframe of ADCommercialisationLEVEL 1LEVEL 2LEVEL 3LEVEL 4/5(Hands/eyes on)(Hands/eyes temporarily off)(Hands/eyes off)(Minds 40CurrentDevelopmentStatusCommercialised andpopularisedSuppliers and modelexamplesRealised by mostOEMs ADAS is mature andwidely adopted Realised while onlyused in testing sections Several local OEMshave launched modelsTesla-Autopilot-Model3SAIC-ADAS-MAXUS D90CCAG-Bosch-CS55Geely-ICC IntelligentNavigation-Perry VW Audi-zFAS-A8* GACNE-ADiGO-Aion LX*Number of playersLessMore*As L3-levelpolicies china-s3@ipsos.comin China are not13 ‒ Remark: Ipsos AUTOMOTIVEWHITEPAPERyet implemented, VW Audi plans to give up loading L3 system in the nextgeneration A8 model, GACNE-Aion Lx cannot fully functionAdopted in trialoperations of a few carmodels in pilot areasonly FAW-Apollo-Hongqi EV BYD-xUrban-Qin Pro

Continuous technology development, supportiveregulations and consumer education are necessary tofurther drive AD commercialisationTECHNOLOGY DEVELOPMENTSUPPORTIVE REGULATIONCONSUMER EDUCATIONInternet giants and OEMs will enhancecollaborations and further push technologydevelopment in the following 3 directions:AD commercialisation also faces challengescaused by unsystematic regulations: Lack of intelligent infrastructure/roadclassification and standardisation Unclear liability mechanism for accidentsand unclear qualification requirements forAD drivers/occupants No market access rules for imported ICVsOverall, end-users still show low confidencein machine capability and have zerotolerance for mistakes that endanger humansafety1. Environment Sensing2. Computing3. Car Control14 ‒ Ipsos AUTOMOTIVE WHITEPAPER china-s3@ipsos.comPrivacy protection and data security willemerge as another concern along with AD/AIdevelopmentAppropriate consumer education by OEMson AD safety features is expected to relieveconcerns

ENVIRONMENT SENSINGCOMPUTINGCONTROL“Camera Radar CV” solution aggressively promoted byTesla continues to lead the market; wider adoption ofLiDAR will depend on cost reductionThere are manyimportant robocarsensors, but forprimary perception,the two mostresearched anddebated are LiDARand cameras.– Brad Templeton,Founder of ClariNet15 ‒ Remark: Ipsos AUTOMOTIVEWHITEPAPERSource: Columnsat china-s3@ipsos.comForbes.com ofComparison of Representative Sensing SolutionsLevel:Camera Radar CV(e.g., Tesla)Data collectionspeedDatacomprehension*Data accuracyEnergy consumptionfor computingCostCamera Radar LiDAR(e.g., Audi A8)LowHighIn the next 5 years, Camera Radar CV will continue tobe the mainstream solutiondue to high costeffectiveness and lowersensing requirement of L2With AD-L3 fullcommercialisation, LiDARwill be considered a musthaveWith more companiesentering the market, LiDARtech maturity and costreduction can be expectedBrad Templeton, founder of ClariNet and former Chairman of Electronic FrontierFoundation; *Data comprehension refers to an object’s size, location, distance to vehicle, moving speed, etc.

ENVIRONMENT SENSINGCOMPUTINGCONTROLThe AD platform market is highly fragmented and led byforeign tech and hardware playersFuture trendFour dimensions to evaluate AD platformsProcessor Kit The AD platformmarket in China ishighly fragmented.Tech companies andhardwaremanufacturers showthe most strength.Most leadingplatforms andhardware suppliersare foreigncompanies. Thistrend will continue inthe next 5-10 years. High performance, low energy consumption and multi-scene applicability are believed to bean evolving trend of processors.Platforms’ R&D capabilities for processors are also deemed essential considering selfdeveloped chips may better adapt to platforms for optimal functioning.The processors of NVIDIA and Intel-Mobileye are widely adopted by other AD-relatedproducts (e.g. Audi’s zFAS). Google, Baidu and Tesla have shifted from using external chipsto self-developed chips.Key AD platform playersTech GiantsHardware ManufacturersSensor Kit Most platforms use a combination of LiDAR (optional) radar camera.Most platforms use 6-15 cameras (e.g. NVIDIA uses 7, Tesla uses 8, Intel-Mobileye uses 12,etc.), but Google has 29 cameras with a detection range of 500 m.Auto Parts SupplierAlgorithm High scene compatibility and high road test performance (low disengagement rate) areperceived as must-haves for advanced algorithms.Baidu’s and Google’s algorithms are compatible with various scenarios, and theirdisengagement rates* were low (Baidu: 0.034 times/1000 km; Google: 0.047 times/1000 km).Auto Industry Experience Early and in-depth involvement in the auto industry (e.g. Tesla and Visteon) facilitateplatforms’ knowledge of car structures, use scenes and industrial pain points.16 ‒ Source: Ipsos AUTOMOTIVE china-s3@ipsos.comDMV 2019WHITEPAPERAutonomousVehicle Disengagement ReportsOEM

ENVIRONMENT SENSINGCOMPUTINGCONTROLOEMs are exploring different business models to developAD technologies and adapt to the increasingly competitiveindustry landscapeLessACQUISITIONALLIANCE BUILD-UPLeading OEMs have been involved in two kinds ofalliances to overcome AD tech barriers Cooperation with other OEMs to share R&D costsand exchange technologies Cooperation with tech companies to build acomprehensive development systemOEM OEMSince 2017, VW and Ford havecooperated in their global AD/EV R&Dand have utilised channels togetherOEM TechBMW and Intel-Mobileye starteddeveloping AD in 2016 and plan to reachmass production by 2021In 2020, Volvo and Waymo will cooperateto promote BEV application of AD tech17 ‒ Note: IpsosOEM AUTOMOTIVEWHITEPAPERmovementslisted china-s3@ipsos.comhere are caseNo. of OEMs involvedMoreSELF-DEVELOPMENTOEMs have acquired tech SMB/startups (including chip providers and ADservice firms) to leverage their techsavviness to expedite AD developmentA few OEMs have established newbusiness units or companies to developAD without cooperating with techcompaniesIn March 2016, GM acquired CruiseAutomation (founded in 2013), a self-drivingservice provider, for 600 million - 1 billion,asking it to run independently for further ADtechnology researchIn March 2018, Toyota invested 2.8billion to establish a new firm, ToyotaResearch Institute-AdvancedDevelopment, which will focus on ADsoftware R&Dstudies only; they are not exhaustive

ENVIRONMENT SENSINGCOMPUTINGCONTROLE/EA* integration and centralisation are evolvingalongside AD development; mass application for OEMs,however, may still be a long way offE/EA centralisation is believed to becritical for energy saving, especially forNEVs facing driving distance challenges1Distributed E/EA(Today) High energyconsumption due tolimited functions perECU, with every ECUprocessing its raw dataand communicatingwith others in thenetwork2Centralised E/EA(Future) Lower energyconsumption due toreduction in totalnumber of ECUs (e.g.from 30 40 to 3 5 fora NEV car) Replacing ECU withcloud computing willbe the ultimate goal18 ‒ Remark: Ipsos AUTOMOTIVEWHITEPAPER china-s3@ipsos.com*E/EA refersto Electrical/ElectronicArchitectureCompared with NEV start-ups, E/EAtransformation is more difficult andcostly for traditional OEMs to realise1NEV start-ups leadsE/EA integration NEV start-ups intend todesign car models andbuild plants adapted tocentralised E/EAstructure from the onset,thus building up theirkey competency in themarket2Seek short-termprofitability With majority marketshare, most traditionalOEMs still hold a waitand-see attitude for E/EAintegration givenprofitability concerns.Delayed implementationwill likely weaken suchOEMs’ futurecompetitiveness in ICV

E/EA integration is believed to be necessary for ensuringefficient interaction between computing and car controlwhile optimising energy consumption Currently, some OEMs suchas Geely and Tesla havetaken proactive steps on E/EAupgradingE/EA UPGRADINGTraditional distributed E/EAneeds to be further integratedin the next 3-5 yearsENERGY ALLOCATIONOPTIMISATIONCOOPERATIVE VEHICLEINFRASTRUCTURE SYSTEMTry to minimise energy/batteryconsumption to handlenormal/standardised trafficconditions, while saving reserveenergy for complex computingAvoid excessive use of datacomputing capacity by leveragingCVIS, which can allocate part ofdata computing to out-vehiclecloud19 ‒ Ipsos AUTOMOTIVE WHITEPAPER china-s3@ipsos.com To maintain competitiveness,it is critical for traditionalOEMs to complete thetransformation A clear roadmap/plan for R&Dinvestment, production plantmodification and productselection will be key

In the long run, the driver can sit back and let AI do the driving while communicating with the voiceassistant to invoke other functions and enjoy enhanced in-vehicle entertainment. Combined withMaaS, general transportation will reach a higher level of efficiency.Market Intelligence Director of a renowned mobility service provider20 ‒ Source: Ipsos AUTOMOTIVEWHITEPAPER china-s3@ipsos.comIpsos expertinterview

Over the next 5-10 years, seamless link-up scenario will bemainstream while MaaS-centric scenario will be popular;car ownership will continue with less actual usageDaily Commute (B2C) - Major Transport Scenario and FutureTrendsDescriptionPublic transportationLowTransport mode usage frequencyScenario A:Scenario B:Scenario C:Scenario D:PUBLIC-CENTRICSEAMLESS LINK-UPPRIVATE-CENTRICMaaS-CENTRICMainly use publictransportation (bus,metro, inner-city train)A combination ofMaaS* & publictransportationDrive private car fromone place directly todestinationMainly use MaaS todestination (ridehailing/car sharing)Seamlessly solve lastmile problem; highefficiency &convenienceOverall usagefrequency willdecrease but will bepreferred on weekendsWorry-free andconvenient forcustomersWeekdayWeekendStatus quo2030 trendDetailsContinue to receivemuch usage as beingmost cost-effective21 ‒ Remark: Ipsos AUTOMOTIVEWHITEPAPER china-s3@ipsos.com*MaaS hererefers tocar sharing andride hailing servicesMaaS*Private carHighChinese customers willnot give up on buyingcars, regardless of howdeveloped MaaS serviceis. In future the two willco-exist rather thancompete – Market IntelligenceDirector of a renownedmobility service provider

Full AD is not expected to be applied in MaaS until 2030;Non-OEM B2C MaaS model is expected to becomedominant and will provide high-quality servicesFull autonomous driving for MaaSwill be difficult to achieve by 2030While full autonomous testing have commenced in selectedpilot areas (e.g. Didi chose specific areas of Shanghai as pilotfor its test operations), nationwide application of fullautonomous driving for MaaS on open roads will be difficult toachieve in the next decade. Further technology developments,systemic regulations and consumer education / confidenceremain key areas to be addressedNon-OEM B2C MaaS model istrendingNon-OEM B2C MaaS model refers to drivers employed byMaaS platforms (e.g. Didi premium and luxe) B2C model will gain further market share and graduallytake over C2C in next 5-10 years:- Market standardisation will require moreprofessionally-trained drivers- The ultimate goal is for unmanned driving to replacehumans in the long-term; MaaS fleets will beoperated by platforms/companies instead ofindividuals OEMs may consider increasing the role from solelymanufacturing to cooperating with/offering MaaSFor MaaS, employment of a large number of drivers in Chinaposes as an additional barrier to its adoption Drivers will be concerned with “replacement by robots” andwill lobby the government to protect their jobsFrom the government’s perspective, AD adoption in MaaSmay also be controlled to maintain employment rates andensure social stability22 ‒ Ipsos AUTOMOTIVE WHITEPAPER china-s3@ipsos.com

COMPETITIVE COOPERATIONIn a high-tech-driven industry, cooperation (alliance and M&A),especially for core technologies such as AD, AI and cloudservices, is believed to be the more viable solution (as opposedto self-development) for developing a competitive edgeEvaluate internal talents/resources and optimise organisationalstructure (talent recruitment vs. development) to ensuresmooth/efficient development and effective transitionE/EA INTEGRATION AND PRODUCT UPGRADINGAlong with ICV development, E/EA integration will be a necessityfor OEMs. A roadmap with a clear timeframe for E/EA integrationand a product strategy for E/EA application is of the utmostimportanceIMPLICATIONSFOR OEMs23 ‒ Ipsos AUTOMOTIVE WHITEPAPER china-s3@ipsos.comOn the other hand, emissions reduction/energy saving will still bekey directions for product improvement in areas such ascomponent weight & size reduction

SHIFTING CUSTOMER FOCUSWith MaaS becoming increasingly mature, new mass segmentcar sales will be mainly driven by mobility service providers.OEMs should reconsider their target customer groups andincrease marketing efforts on MaaS fleet operatorsOEMs should also assess internal resources and capabilities todecide if they should venture into offering their own MaaSservices or cooperate with MaaS operators via customisedofferingsCONSUMER-TAILORED ICV DESIGNIn addition to driving behaviour, it is also critical to understand incar HMI behaviours such as voice interaction and AOS functionpreferences to achieve smart human-machine interactionsIMPLICATIONSFOR OEMs24 ‒ Ipsos AUTOMOTIVEDoc Name WHITEPAPER china-s3@ipsos.comOEMs should aim AOS and application ecosystem effortstowards specific target audience groups (e.g. B2C-individualdrivers and B2B-mobility service platforms) to increase value-addand differentiation

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Strategy3 is Ipsos’ business and growth advisory firmWe believe that in order for any business strategy, marketing plan, brand positioning, or new innovation to be successful, it must dothree things: be rooted in the organisation’s strategy, be informed and inspired by customer research, and drive through to actual inmarket activation. While there are many firms that advise on growth, very few deliver on all three: traditional managementconsultancies rarely delve deep enough into the world of the customer; creative firms don’t truly leverage the power of data; researchagencies can sometimes lose the big picture in the midst of analysis. That’s why we are Strategy3.We approach every challenge through three used26 ‒ Ipsos AUTOMOTIVE WHITEPAPER china-s3@ipsos.com

What WeDoDrawing from our global networkof consultants across four practiceareas, we work with clients toBuild Grow CompeteCorporate/Business StrategyDetermining the right markets in which to play, and how to winMarket Sizing Go-to-Market Strategy Distribution/Channel Strategy Competitive Benchmarking Due DiligenceBrand StrategyDeveloping strategies to help your brand and products stand outBrand Stretch Brand Architecture/Portfolio Optimisation Brand Positioning Brand Purpose Brand Valuation and Investment ROICustomer/Consumer StrategyUnderstanding and reaching the right customersStrategic Segmentation Customer Prioritisation Consumer Journey Omnichannel Strategy Value Proposition DevelopmentInnovation StrategyPlanning for and conceptualising new products and offersTrends/Futures Scenario Development Early Stage Innovation Development Innovation Scouting Innovation Strategy and Process Development27 ‒ Ipsos AUTOMOTIVE WHITEPAPER china-s3@ipsos.com

A B O U TO U RT E A MWho We AreWe are a diverse, multi-disciplinary team who bringsour unique backgrounds and expertise together onevery challenge. We believe that approaching everysubject from different angles gets us a moreaccurate picture. Our team has consultants whohave in prior lives been: Management ConsultantsQuantitative ResearchersSociologistsBrand Strategists Start-Up EntrepreneursMarketing ExecutivesJournalistsSocial Media ExpertsWhat we all share is a passion for businesses, theirstrategies and customers, understanding behaviour,transforming organisations, and telling great stories.28 ‒ Ipsos AUTOMOTIVE WHITEPAPER china-s3@ipsos.com

Please contact usWijaya NgHead of Consulting, ChinaKate GaoPrincipal, ShanghaiWijaya.Ng@ipsos.comKate.Gao@ipsos.com 86 21 2231 9598 86 21 2231 962729 ‒ Ipsos AUTOMOTIVE WHITEPAPER china-s3@ipsos.com

Wijaya NG黄其伟Head of Consulting, ChinaCONSULTING EXPERIENCE:15 YearsCONSULTING SPECIALTIES:Market entry and expansion strategy,competitive strategy, market segmentation andforecasting, distribution channel strategySECTOR SPECIALTIES:Automotive, TMT, Industrial Wijaya heads up the consulting practice for Ipsos in China and takes the lead formajor clients and multinational engagements relating to growth consulting. Leveraginghis extensive international experience, Wijaya helps clients develop their regionalmarket expansion strategies. Prior to his transfer to China nine years ago, Wijaya was the senior manager of IpsosSingapore’s consulting practice where he worked on multiple regional engagementsacross Asia-Pacific for six years. With a strong focus in the Automotive, Industrial and Technology sectors, Wijaya haspartnered with industry-leading clients to support a full spectrum of solutions rangingfrom the prioritisation of market opportunities, to the development of key valueproposition and actionable strategies for clients’ 5-year business planning, to theimplementation of key initiatives. Wijaya speaks fluent English, Mandarin and Cantonese, and holds a Bachelor ofCommerce degree from the University of British Columbia in Vancouver, Canada30 ‒ Ipsos AUTOMOTIVE WHITEPAPER china-s3@ipsos.com

CONSULTING EXPERIENCE:12 YearsCONSULTING SPECIALTIES:Market entry strategy, industry benchmarkingand analysis, voice of customersSECTOR SPECIALTIES:Automotive and TMT Kate joined Ipsos Business Consulting in 2016, following 7-plus years working for amultinational consulting company with a key focus on market entry development,industry benchmarking analysis and voice of customers.Kate GAO高夙晔Principal, Shanghai As a Principal, Kate is primarily in charge of project planning, client internal highmanagement stakeholder interviews, project bottleneck break, deliverable qualitycontrol and client communication. Kate has a rich consulting experience in the automotive industry. She has been workingfor auto/transport-related clients (such as OEMs, auto parts/system suppliers, IAMplayers, mobility service giants and logistics service providers) since 2010. In addition,Kate has led a number of TMT (Technology, Media and Telecom) projects in the pastfour years, along with the rapid development of the industry. She is also the ClientOfficer of one of the leading tech giants for business in mainland China. Shesynthesises auto industry experience and TMT knowledge to support clients in findingcutting-edge solutions in the current changing era. Kate speaks fluent English, Japanese and Mandarin and holds a Bachelor’s degreefrom Shanghai International Studies University, China.31 ‒ Ipsos AUTOMOTIVE WHITEPAPER china-s3@ipsos.com

CONSULTING EXPERIENCE:20 YearsCONSULTING SPECIALTIES:Brand and communication research, new productdevelopment and business opportunitiesidentification and realizationSECTOR SPECIALTIES:Automotive Jack started marketing research career in 2000 and he joined Ipsos China as theManaging Director in 2017. He is responsible for development of automotive businessin Shanghai office. Before joining Ipsos, Jack was the Head of Brand and Productresearch of TNS China who was in charge of automotive business in both Beijing andShanghai.Jack CHIU邱清儒Managing Director,Ipsos Automotive China Jack specialises in brand and communication research, and was responsible for drivingbest practice brand & communications research, through training and coaching as wellas working directly with key clients. Jack also has focused on new product developmentand has worked extensively on large-scale strategic studies, helping clients not justidentify opportunities but also realise them through relevant innovations andcommunications. Recently, Jack shifts his focus on a few disruptive developments in automotive industry,including the new energy vehicles, connected cars, autonomous driving, mobility andsharing economy. Jack also specialises in workshop facilitation, regularly executingactivation workshops, which helping the clients to turn insights into business plans. Jack holds a MA Degree in Business Management from the University of Birmingham,UK.32 ‒ Ipsos AUTOMOTIVE WHITEPAPER china-s3@ipsos.com

Hello.Let’s start aconversation.Whether you already have a clearly defined brief,or have a broad business challenge you’d like us towork with you to frame, we’d love to have aconversation with you.From helping you to better understand your marketfrom a customer lens, to deciding whether to entera new market with your business, to building andevaluating your innovation pipeline, to painting apicture of how your category is evolving, we thriveon thinking about these ch

4. Connected Infrastructure To collect data from vehicles, pedestrians, weather, etc. with sensors, cameras and radars 2. Autonomous Driving To achieve full autonomous driving in the long-term through AI, machine learning and hardware with high computing capacity V2I V2V V2P V2N 3. V2X To

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