全球人工智能市场前景及投资研究报告-培训课件外文版2024.5重新定义生产力新质生产力

INSIGHTS

COMPASS2023Unleashing

Artificial

Intelligence’s

true

potential:How

generative

AI

could

empower

innovation,redefine

productivity,

and

transform

the

workforceJuly2023How

will

recent

advances

in

Artificial

Intelligence

redefine

industries,unlock

incredible

creative

potential,

and

redefine

human

competence?In

a

world

filled

with

fading

fads

like

cryptocurrencies

and

NFTs,

Artificial

Intelligence

(AI)

isquietly

emerging

as

a

true

game-changer.

Recent

advancements

in

generative

AI,

mostnotably

with

the

introduction

of

ChatGPT,

have

given

AI

a

momentous

boost.

Expertsbelieve

that

this

technology

has

the

potential

to

not

only

solve

real-world

problems

butalso

revolutionize

various

sectors,

from

healthcare

and

education

to

entertainment.

AI

isready

to

shape

our

destiny,

much

like

how

the

steam

engine

transformed

society.Despite

the

challenges,

the

future

of

AI

exudes

promise

and

vast

possibilities.

As

AIcontinues

to

evolve

and

expand,

it

will

not

only

enhance

economic

performance

but

alsopositively

impact

global

GDP.

We

stand

on

the

precipice

of

a

new

era,

where

innovativetechnology

and

human

potential

converge

to

reshape

industries

and

unlock

new

frontiers.For

the

Insights

Compass,

we

have

compiled

both

external

data

as

well

as

a

vast

body

ofour

own,

proprietary

data.

Our

own

research

and

market

analyses

are

accessible

outsidethe

Insights

Compass

in

even

greater

depth

and

are

bundled

into

a

targeted

productBut

this

AI

revolution

goes

beyond

simple

chatbots.

Generative

AI,

at

the

forefront

of

thistransformation,

is

set

to

contribute

a

staggering

$4.31

trillion

to

the

market

by

2030.Language

models

like

GPT-4

are

making

waves

by

achieving

human-level

performance

inassessments

and

even

outperforming

attorneys

on

the

bar

exam.family.reports,

and

cover

190+

countries

and

regions.from

2,000,000+

interviews,

covering

56

countries

and

500+

industries

and

topics

as

wellas

15,000+

brands.

Company

Insights

provides

data

about

70

million

companies,Market

Insights

provide

700,000+

data

stats

on

1,000+

markets,

700+Consumer

Insights

contains

dataHowever,

this

exciting

shift

towards

AI-powered

work

comes

with

consequences.

While

AIcan

automate

mundane

tasks

and

enhance

productivity,

it

also

poses

a

risk

of

jobdisplacement.

Roles

that

involve

routine

and

repetitive

work

are

particularly

vulnerable,necessitating

a

shift

in

job

requirements

and

responsibilities.which

is

clustered

into

100+

industries

and

condensed

into

1,000+

reports

depicting

20+different

financial

KPIs.2Selected

topics

explored

in

this

publication:AI

isthenewelectricityIfBig

Dataisthenew

oil,then

AI

is

the

new

electricity,

asitenables

manydevelopments.

Alotof

complexity

canbereduced

byAI,duetothe

recent

developmentsinGenerative

AI.Withmore

programs

utilizingmultimodal

capabilitiesacross

images,

text,andsound,Generative

AI

will

continueto

improve

ataparabolicpace.AIwill

redefine

how

businesses

interact

with

theircustomers.AI

shapingtheeconomyDespite

theratherbadgeneral

economic

situation,thegrowth

ofAI-focused

companies

and

theirincreasing

market

value,drivenbyinnovation

and

growingfunding,

hashelped

tostabilizepartsof

the

economy

and

offset

thelackof

growth

inothersectors.

AIwill

haveacrucial

impacton

the

GDP

byboosting

economicperformance.

Atthemoment

AI-focused

companies

aredrivingthemajority

ofgrowth

intheoverall

tech-sector,

while

more

traditional

sectors

like

financialsorenergy

continuetofacechallenges.Businessmoats

intheAI

raceInthe

race

forAIdominance,

the

key

towinning

liesinhardware

innovation,particularly

inthedevelopment

of

the

fastest

chipsand

biggest

cloud

capabilities.

Asthe

importance

oftailored

hardware

solutionsbecomes

increasingly

evident,major

players

inthe

AIindustryareinvesting

heavily

inbuildingtheirown

chipmanufacturingcapabilities.

Applicationcompanies

are

growing

toplinerevenues

very

quicklybutoften

strugglewith

retention,

product

differentiation,andgrossmargins.

Most

model

providers,

thoughresponsible

forthe

very

existence

of

thismarket,

haven’t

yet

achieved

large

commercial

scale.Generative

AI

contentfloodAsgenerative

AIcontinuestopropel

thecontent

creation

spaceforward,

the

cost

of

generating

digitalcontent

will

decrease

massively,

leadingtoaflood

ofcontent

inmanyareas.

Thiscould

raise

concerns

aboutthetrustworthiness

ofmedia

when

content

becomes

inaccurate,misleading,

or

even

malicious

with

theneed

for

humanverification

inorder

to

ensure

accuracy

and

reliability.

Ingeneral,

the

ethical

useof

AI,withafocuson

transparency

will

become

more

important.The

changingworld

of

workInthe

nearfuture,the

useof

AIinthe

workplace

will

become

ubiquitous,with

notusingAIbeingseen

as

outdatedaswriting

letters

today.While

AI

willincrease

efficiency

and

productivity,leading

to

aboost

ineconomic

output,real

experts

will

stillberelevant

asAIhasa

tendency

towards

homogeneityandmaynot

be

abletoprovide

the

same

level

of

diversity

andinnovation

ashumanexperts.3Table

of

contentsUnleashing

Artificial

Intelligence’s

truepotential:How

generativeAIcouldempowerinnovation,redefineproductivity,andtransform

theworkforceIfBigDataisthenewoil,

AIisthenewelectricity52446Asteam-engine

moment

to

thecomputer

age,generative

AIisboostingefficiencyand

creativityto

unprecedentedheightsThedouble-edged

sword

ofAI:Will

we

lose

ourjobs

or

becomeextremelyproductive?AppendixProductOverviewAuthors606465Contact4If

Big

Data

is

the

new

oil,

AIis

the

new

electricityUnlike

other

current

buzzing

topics

such

as

cryptocurrencies,NFTs,

and

Web

3.0,

which

have

tended

to

lose

importance

as

aresult

of

the

difficult

economic

situation,

Artificial

Intelligence(AI)

appears

to

be

having

a

breakout

moment

thanks

to

recentadvances

in

generative

AI,

particularly

by

the

release

ofChatGPT.

AI

is

a

strong

technology

capable

of

solving

real-world

issues

and

simplifying

complicated

activities

across

awide

range

of

businesses,

stimulating

change

in

a

variety

offields,

from

healthcare

to

education

to

entertainment.

As

aconsequence,

many

experts

are

convinced

that

AI

is

here

tostay

and

will

impact

humanity's

destiny

in

ways

similar

to

thesteam

engine.

Chatbots

such

as

GPT

are

only

the

tip

of

theiceberg

when

it

comes

to

AI

advancements

in

recent

years.

AIis

seeing

a

rush

in

invention

and

development,

with

new

toolsand

technologies

appearing

on

a

daily

basis.

In

the

next

fewyears,

AI

will

continue

to

evolve

and

expand,

enhanceeconomic

performance,

and

add

to

global

GDP.5With

the

breakthrough

of

Generative

AI,

we

are

now

able

to

see

that

AI

is

morethan

just

a

buzzword

and

has

the

potential

to

solve

many

real-worldproblemsGoogle

trendssearchinterestovertimeforselectedtopics(1)Monthsittook

selectedappstohit100

millionmonthly

usersNumberof

published

AIresearch

papers+103%?1001,400,0001,200,0001,000,000800,000600,000400,000200,000AI290807060504030201009304155Cloud61Bitcoin70Metaverse2017

2018

2019

2020

2021

20222023e202020226Notes:(1)

Numbers

representsearchinterestrelative

tothe

highest

point

onthe

chartforthe

given

regionand

time.A

value

of100

is

the

peak

popularity

forthe

term.Avalue

of50

means

that

the

termis

half

aspopular.

Ascoreof0means

that

there

was

notenough

data

forthis

termSources:

GoogleTrends;OECD;

Company

informationAI

is

here

to

stay,

and

no

one

will

be

able

to

avoid

it:

everyday

AI

will

become

asubiquitous

andnecessary

as

electricityTestscores

oftheAI

relative

tohumanperformance(1)JobsexposedtoAIandindustries’AIimpacton

GDPin203020Survey

researchersWriters

and

authorsInterpreters

and

translatorsPublicrelations

specialistsAnimalscientists84.483.583.4AIsystems

perform

betterthanhumanswho

didthese

tests100AIsystems

perform

worse

whodidthesetests80.677.8-10-20-30-40-50-60-70-80-90-100HandwritingrecognitionPotential

AImarketvaluebyindustry

in2030

intrillion

US$(2)6Readingcompre-hensionTechnology

communications

&entertainment543210RetailHealthcareOthersManufacturingTransportation

and

logisticsFinancialservicesLanguageunderstandingImage

recognition2010

2015Speech

recognition2000200520200.00.51.01.52.02.53.0Impacton

GDPin%7Notes:(1)

Human

performance,asthe

benchmark,

is

settozero.

The

capability

ofeach

AI

systemis

normalized

to

an

initial

performance

of-100.

(2)

values

arebasedonestimations

fromMarket

Insights,

June

2023Market

Insights,

June

2023Sources:

Ourworldindata;

Open

AI;General-purpose

AI

technology

focuses

on

creating

systems

and

machinescapable

of

solving

problems

that

normally

require

human

intelligenceWhat

isAI?AIlocation

infamily

ofgeneral-purpose

technologies•Aninterdisciplinarybranchofcomputerscience,

AIfocuses

ondevelopingintelligentsystemsandmachinesthatcansolve

complexproblems,specifically

thosethattypically

require

humanintelligence.DecisionmakingData

Science•AIasabroaderfield,

incorporatesbothdatascience

andmachinelearning,

along

withother

areassuch

asnaturallanguage

processing,computervision,androbotics.Whereasdatascience

providesthefoundationforunderstandingandworkingwithdata,machinelearningenablesAIsystems

tolearnfromthatdataandmakeintelligentdecisionsand/orperformtasks.AIexpandsbeyondthe

scopeofdatascience

andmachinelearningtoincludethe

simulationofhumanintelligence,reasoning,

perception,

andinteractionwiththeenvironment.IncreasedaccuracyMachineLearning(ML)PredictiveanalyticsDatamanagementDeep

LearningArtificialSolvecomplexproblemsNaturallanguageprocessing(NLP)IntelligenceData

basedclassificationmodels••AItechnologyisusedtoautomatetasksandprocesses

that

aretoocomplexfortraditionalcomputerstoperform.

Thisincludes

performingdataanalysis,

forming

predictionsanddecisions,

andeven

developingsystems

thatcaninteractwithhumansinanatural,

conversationalmanner.DescriptiveanalyticsSpeechVisionNon-MLbasedNLPRulesenginesPerformhighlevelcompu-tationAIisbeingusedacrossawiderange

ofindustries,fromhealthcareandfinancetotransportation

andlogistics.Forinstance,financeAItechnologyisusedtoautomatecustomerservice,analyze

datatoprovidepersonalizedrecommendations,anddetect

fraud

infinancialtransactions.Symbolic

logicVisualization8Sources:

Ourworldindata;

UKGovernment;Market

Insights,

June

2023Inthe

past

few

years,

AI

hascome

a

long

way,

with

Chat

GPT

being

only

the

tip

ofthe

iceberg

with

the

beginning

of

phase

4:

self-aware

machinesAItimelinewith

selectedeventsEliza

(1965)Siri(2008)Alexa(2014)Chat

GPT(2022)Apple’svirtualassistant

Amazon’s

virtual

ChatbotmodelFirst

chatbotreleasedbyJoseph

Weizenbaumwith

avoice

interface

assistantreleased

byOpenAILogic

Theorist(1956)Backpropagation

Algorithm(1986)DeepBlue(1997)

Waymo

(2017)Google’s

autonomous

carfleet

testwith

500

minivansDesigned

toprovemathematical

theoremsRevolutionized

thefield

of

neuralnetworksIBM‘s

supercomputer

to

surpasshumanexpertise

incomplex

gamesPHASE1ReactivePHASE2Limited

memoryPHASE3Theory

of

mindPHASE4?Self-awareness1950198020102022…Artificial

IntelligenceMachineLearningDeepLearningAdvanced

DeepLearningCannotusepastexperiences

toinfluencecurrent

decisions;

behavesexactly

thesame

way

each

timeCanform

memories

and

draw

frompastexperiences;

cannotmakesignificantimprovisations

based

onmemoriesAIsystems

thatareinfluenced

byother

entitiesandlearn

contextuallyFullyself-aware

and

capableoflearning

from

scratch

withoutinstructions9Sources:

Govtech;Ourworldindata;

Simplilearn;Market

Insights,

June

2023The

field

of

generative

machine

learning

has

recently

experienced

an

explosionof

new

tools

and

technologyGrowth

inAI

modelshasacceleratedPrivateMegatron-LMGPT-2Turning-NLGGPT-3Jurassic-1CopherChinchilla•

Access

to

privateAPIsandopen-source

models

drive

progress

forgenerative

machinelearningLaMDAMT-NLGPaLM•

Incontrast

to

previous

years,developers

now

havethe20182019202020212022…opportunity

to

access

privateAPIs,suchasthose

provided

byOpenAIandAI21Labs,aswell

asopen-source

models

forgenerativemachinelearningRoBERTaGodelYaLM•

Infact,withinthelastmonth,bothMeta

andHuggingfacehaveshown

supportbysponsoringopen-source

modelsELMoBERTTransformer

ELMoOPT-175BBigScience

BLOOM…2018OpenSource201920202021202210

Notes:ELMo,BigScience

BLOOM

and

LaMDAare

language-based

models,

while

GPT-2and

GPT-3,

Transformer

ELMoand

BERTare

transformer-basedlanguage

models.

Language-based

models

generally

refertomodels

focusedonunderstanding

and

generating

human

language,

while

transformerlanguage-based

models

specifically

indicate

models

that

utilize

the

transformerarchitecture

toprocesslanguage

sequences.Sources:

BessemerVenture

PartnersAI

infrastructure

lays

the

foundation

for

a

diverse

range

of

AI

technologies

to

beapplied

to

a

range

of

industriesTheexpansionofAIfrom

infrastructure

to

industryAutomotiveEnergyTransportationAgricultureCloudDataNLPComputer

Autonomous

&Vision

SensorTechMachineLearningFinanceIoTHealthAerospaceRoboticsEducationManufacturingTechnologiesMachineLearningInvolves

designingalgorithmsandmodelsthatenablecomputersystems

toautomaticallylearnandimprovefromdatawithoutexplicitprogrammingComputerVisionAutonomous

&SensorTechReferstothe

development

ofsystems

anddevicesthatcanoperateandperceivetheirenvironmentwithouthumanintervention,utilizing

varioussensorstogather

andinterpretdataNatural

LanguageAIRoboticsIsfocusedondevelopingProcessingFocuses

onthe

developmentofintelligentmachinesandsystemsthatcanperceive,reason,learn,andmakedecisionsalgorithmsandtechniquesthatenablecomputerstoextractmeaningfulinformation

andunderstandvisualdatafromimagesorvideosInvolves

theinteractionbetweencomputersandhumanlanguage,enablingmachinestounderstand,interpret,

andgenerate

naturallanguage

text

orspeechautonomouslySources:

Allianz

global;Market

Insights,

June

2023While

certain

AI

disciplines,

such

as

computer

vision,

are

well

underway,

others,such

as

Generative

AI

and

AI

Engineering,

are

still

in

the

innovation

trigger

phaseGartner

Hype

Cycle

for

Artificial

Intelligence

20224maincategories

of

AI

innovations•••Data-centricAI:

DisruptstraditionaldataSynthetic

DataSmart

Robotsmanagement

byenrichingtraining

data,

employingtechniquessuch

assyntheticdata(1)

andknowledgegraphs(2),leadingtoimprovedML(3)

outcomesFoundationModelsResponsibleAIEdgeAIKnowledge

GraphsGenerative

AINeuromorphic

ComputingModelOpsOperationalAI

SystemsAI

TRiSMComposite

AIModel-centric

AI:

EnhanceslearningefficiencyandknowledgerepresentationswithCompositeAI,whileCausalAIusescausal

graphs

andsimulationsforcausalitytestingNaturalLanguage

ProcessingDigitalEthicsDecision

IntelligenceAI

EngineeringApplication-centric

AI:

Optimizes

decision-makingprocesses

byimproving

transparencyandsustainability;

EdgeAI(4)

isembeddedinIoTendpointsthat

offeroperationalefficiency

andreducedlatencyAI

Maker

andTeaching

KitsData-Centric

AICasualAIAI

CloudServicesComputerVisionPhysics-Informed

AIData

Labeling

andAnnotationIntelligent

ApplicationsArtificialGeneralIntelligenceDeep

LearningTroughof

Disillusionment•Human-centricAI:

Focuses

onmakingethical

andvalue-baseddecisions,

whiledigitalethicsaddressesprivacyandbiasconcernsAutonomous

VehiclesPeakofInflatedExpectationsInnovation

TriggerSlope

of

EnlightenmentPlateau

of

ProductivityPlateauwill

bereached:<2

years2-5

years5-10

years<10

years12

Notes:(1)

Synthetic

data

replicates

the

characteristics

ofreal-world

data,

serving

asa

privacy-preserving

substitute

forsensitive

information.

(2)

Knowledge

graphs

are

structured

representations

ofinformation

that

capturerelationships,

entities,

and

attributes,

enabling

advanced

data

analysis

and

knowledge

discovery.(3)

Machine

Learning

(4)

Edge

AI

allows

forreal-time

data

analysis

directly

atthe

source,without

relying

heavily

oncloud.Sources:

GartnerInan

optimistic

scenario,

the

total

addressable

AI

marketin

2030

might

be

closeto

US$16

trillionComparison

ofAItotal

addressable

market

scenarios

andMetaverse

(optimistic)

scenariointrillion

US$Artificial

IntelligenceTAM(1)scenariosOptimisticThescenario

analysis

shows

thepotentialmarketvalueforAI.Weassumedifferentscenariostoaccount

foradifferentadoptionacrosspotentialmarkets:15.7213.1514.4212.0612.4510.41ModerateConservativeThescenarios

account

for

a

certainshift•12.149.828.22ofAIintoallapplicablemarketsfor

anestimatedlowerandhigher

adoptionovertime11.129.586.895.787.52ComparisonMetaverse

scenario(optimistic)Applicablemarketsinthissensearemarketssuch

asdigitalhealthandmanufacturing

whereAIcouldplayarole•4.315.242.6220262.552.150.933.623.224.444.294.001.611.371.11

0.483.451.84•

Apercentageshareforseveralindustrieswherea

shifttoAIcan

takeplaceiscalculated

accordingto

industryimpact,maturity,

impact

overtime,

andoveralluseofAI1.68202320242025202720282029203013

Notes:Sources:(1)

Total

Addressable

MarketMarket

Insights,

June

2023As

AI

propels

industries

and

reshapes

the

business

landscape

throughincreased

productivity,

it

could

reach

a

market

value

of

US$755bn

in

2030Global

AImarket

value(1)developmentinbillionUS$

andYoYgrowth

rate

explanation(2)

for

2022-2023Tech

markets

CAGR2020-20273%-1%3%9%51%-29%22%75537615366AI23.7%20.5%18.6%9.9%44%66333Increase

in

AI

adoption

Advancements

Increased

GDPgrowthInflationimpactCompetitioneffectMarketgrowth22-23IoTproductivityinGenerative

connectivity5722955CloudAIanddataflows484804959Cybersecurity254341143465222Semiconductors

8.0%383423237401934+51%27326ITServicesRoboticsSoftware7.8%6.2%6.1%1627302283253820422

223546861239829291351832910818269241232775132261718175202414135725920202021202220232025Computer

Vision20262027202820292030MachineLearningNaturalLanguage

ProcessingAutonomous&SensorTechnologyAIRobotics14

Notes:Sources:(1)

Value

in

this

case

is

different

to

marketrevenues

aswe

use

funding

data

forourcalculations.

Hence,

the

displayed

values

in

the

chartare

based

onfunding

amount

forrespective

companies

in

the

market.(2)

GDPgrowthand

inflation

impact

are

considered

asmacroeconomicfactors,whereas

the

otherfactorsimpact

the

marketonamicroeconomic

level.

Datais

based

onthird-party

research

andMarket

Insights,

June

2023Market

Insights

analysis.AI

will

have

a

crucial

impact

on

the

GDP

by

boosting

economic

performance

andespecially

with

regard

to

product

and

service

innovationImpactof

thepotentialAI

market

onGDPin%Breakdown

of

economic

impact,cumulative

boostvs.

today

in%(1)203020239.47.9-177.26.126247.332-5-4165.55111.51.31.0-21303-2112-220232024202520262027202820292030Aug-mentationSubstitutionProductandserviceinnovationCompetitioneffectGlobaldataflows

creation

andreinvestmentWealthGrossimpactTransition

&

Negative

Net

impactimplement-

externatlitiesationcostsConservativeModerateOptimisticTheoutcome

ofthedifferent

scenarios

iscalculatedandbasedon

different

assumptionsfortheadoption

ofAI.Thenumbersshow

thepotential%sharetheAImarket

could

haveon

thetotalGDP.AIwill

haveanimmediate

impact

ontheeconomy

(categorized

according

to

eight

disparatefactors)

andlead

to

anoverall

impactof

more

than1%.

However,

itis

anticipatedthatby2030,

advancements

inAI‘soutputand

applicabilitywill

lead

toanoverall

boost

of

theeconomy

ofapproximately

16%,

especiallywith

regard

toproduct

and

service

innovation.15

Notes:Sources:(1)

Augmentation,

Substitution,

product

and

serviceinnovation

and

competition

effects

are

impacts

onthe

production

channelside,

whereasglobal

data

flows

and

connectedness,

wealth

creationand

reinvestment,transition

and

implementation

costs

and

negative

externalities

areimpacts

onthe

externality

channels.Market

Insights,

June

2023;

McKinseyNearly

all

markets

are

currently

witnessing

a

plunge

in

investments,

whereas

AIhas

recently

experienced

a

burst

of

activityFunding

valueinbillionUS$

across

markets

overtime-32%Developmentof

theAI

market

inthepast90

days(June

2023)(1)758-36%7billion

US$funding100

new

start-ups

aweek-46%518Past90Days37634850+

GenAIFunding

for

655

Astartupsstartupsjust140inYCombinator72754949463133Even

thoughfunding

isdecreasing,

there

hasbeen

alotof

activityinpastfewmonthsforAI.Investments

will

goupagain

in2023

and

exceed

the2022

values.Asof

May

2023,

US$28.3

billioninfunding

hasbeen

made

availableforAI.2019202020212022Global

AIFundingGlobal

Venture

CapitalGlobal

FinTech

Funding16

Notes:(1)

Datacomes

fromCrunchbase,

AI

companies

funded

in

the

last3months

asof1stJune

2023Sources:

Dealroom;CB

Insights;

CrunchbaseSuccessful

venture

capitalists

that

specialize

in

new

technologies,

such

as

a16zand

Y-Combinator,

are

now

essentially

focused

on

AIa16z’s

investmentstrategy27fundsY-Combinator’s

investmentsinGenerative

AITotal

fundY-Combinator%of

Generative

AIinvestments

inwinter

2022batchraised$32.4bn.LatestCurrentlyfundinginvestment:over

690companies$300minOpen

AI36%Theventure

capitalfirmAndreessen

Horowitz

(a16z)

specializeearly-stage

andgrowth-stage

investments

intechnologycompanies

across

various

sectors,

including

software,

internet,biotechnology,

fintech,artificial

intelligence,

blockchain,andmore.

a16z

hasmadeinvestments

inawide

range

ofAI-focusedcompanies

involved

inmachinelearning,

naturallanguageprocessing,

computer

vision,androbotics,

among

others.15%10%10%8%7%5%3%3%2%Engineering

SalesCustomer

Productivity

Data

&support

analyticsVideo

&imagesVoiceFinance

&

Market-

Healthcareaccounting

ing17Sources:

Dealroom;Crunchbase;

CB

Insights;

Company

informationThe

U.S.

has

the

highest

demand

for

AI

investments

and

will

continue

to

be

themarket

leader,

but

the

most

rapid

growthwillbe

in

ChinaAIinvestmentsize

in2023

inUS$

andCAGRs

between2023

and

2030

byregion

Countrieswith

highest

AIinvestmentsforecasted

to2030

inbillionUS$50045040035030025020015010050∑

473EuropeNorthAmerica55.7bn.20.1%Asia82.33bn.18.3%51.15bn.23.3%74%SouthAmerica4.85

bn.22.0%5.4

bn.20.1%Australia&Oceania20232024202520262027202820292030United

StatesChinaJapanUnited

KingdomFranceCanadaGermany18Sources:Market

Insights,

June

2023So

far,

the

prevalent

reason

for

deploying

AI

technologies

across

sectors

hasbeen

to

aid

strategy

and

product

creationShare