의사결정 인텔리전스 시장 : 제공 구분별, 유형별, 비즈니스 기능별, 산업별 및 지역별-예측(-2030년)
Decision Intelligence Market by Offering (Platforms, Solutions (Integrated & Standalone), Services), Type (Decision Automation, Decision Augmentation, Decision Support System (DSS)), Business Function, Vertical and Region - Global Forecast to 2030
상품코드:1455827
리서치사:MarketsandMarkets
발행일:2024년 03월
페이지 정보:영문 334 Pages
라이선스 & 가격 (부가세 별도)
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한글목차
의사결정 인텔리전스 시장 규모는 예측 기간 동안 24.7%의 연평균 복합 성장률(CAGR)로 전망되며, 2024년 133억 달러에서 2030년에는 501억 달러 규모로 성장할 것으로 예측됩니다.
의사결정 인텔리전스는 데이터, 애널리틱스, AI를 통합하고, 시나리오를 평가하고, 잠재적인 결과를 계량하며, 데이터 중심의 인사이트를 바탕으로 최상의 옵션을 선택하여 결과를 최적화합니다. 프로세스를 간소화하고 고급 분석을 활용하여 의사 결정의 효율성을 높이고 위험을 줄이며 협업을 강화합니다. 의사결정 인텔리전스는 의사결정의 정확성을 높이고 자동화를 통해 비즈니스 효율성을 개선하며 팀의 협업을 촉진함으로써 급속도로 진화하는 비즈니스 환경에서 더 나은 성과를 제공합니다. 의사결정 인텔리전스 기술을 도입함으로써 조직은 다양한 기능을 통해 정보를 기반으로 의사결정을 수행할 수 있으며, 오늘날의 역동적인 비즈니스 환경에서 민첩성, 혁신성 및 경쟁 우위성이 향상됩니다.
조사 범위
조사 대상년도
2019-2030년
기준년
2023년
예측 기간
2024-2030년
단위
달러
부문
제공 구분별, 유형별, 비즈니스 기능별, 산업별, 지역별
대상 지역
북미, 유럽, 아시아태평양, 중동 및 아프리카, 라틴아메리카
제공 구분별로 플랫폼 부서는 예측 기간 동안 최대 규모를 유지할 것으로 예상됩니다. 플랫폼은 AI의 통합, 자동화 및 확장 가능한 분석 기능을 통해 시장에서 큰 성장을 이루고 있습니다. 이 플랫폼은 고급 알고리즘, 머신러닝 및 자연 언어 처리를 활용하여 엄청난 데이터 세트에서 실용적인 인사이트를 추출합니다. 이를 통해 기업은 의사 결정 프로세스를 간소화하고, 자원 배분을 최적화하며, 비즈니스 효율성을 향상시킬 수 있습니다. 클라우드 기반 솔루션은 유연성, 확장성 및 실시간 분석을 제공하여 기업이 데이터 중심의 의사 결정을 신속하게 수행할 수 있도록 합니다. 통합된 대시보드 및 시각화 도구는 데이터 분석을 강화하고 팀의 협업 및 협력을 촉진합니다. 의사결정 인텔리전스의 플랫폼 성장은 현대의 비즈니스 전략에서 민첩하고 데이터 중심적인 접근 방식의 중요성을 보여줍니다.
유형별로 의사 결정 지원 시스템(DSS)은 예측 기간 동안 가장 높은 CAGR로 성장할 전망입니다. DSS는 프로세스를 자동화하고 수작업 분석과 관련된 오류를 최소화할 수 있으므로 비용 절감도 중요한 추진력이 되었습니다. 또한 DSS는 증거 기반 의사 결정 프로세스를 제공하여 금융 및 건강 관리와 같은 규제 산업에서 업계 규제 준수를 보장합니다. DSS의 채택은 조직이 경쟁력을 유지하고 더 나은 의사 결정을 내리며 오늘날의 복잡한 비즈니스 상황을 효과적으로 극복하는 데 필수적입니다.
예측기간 동안 아시아태평양이 가장 높은 CAGR을 나타낼 것으로 예상됩니다. 이 지역에서는 디지털 변환에 대한 노력이 확대되고 있으며, 클라우드 컴퓨팅 및 빅데이터 애널리틱스 플랫폼의 채용이 증가하고 있기 때문에 의사결정 인텔리전스 솔루션 수요에 박차를 가하고 있습니다. 이 지역에서는 비즈니스 효율성 최적화, 고객 경험 향상, 비즈니스 확장성 실현에 중점을 두고 있으며, 시장 투자 및 혁신이 다양한 분야에서 활발하게 진행되고 있습니다.
본 보고서에서는 세계의 의사결정 인텔리전스 시장을 조사했으며, 시장 개요, 시장 영향인자 및 시장 기회 분석, 기술 및 특허 동향, 법규제 환경, 사례 연구, 시장 규모 추이 및 예측, 각종 구분별 및 지역별 상세 분석, 경쟁 구도, 주요 기업 프로파일 등을 정리했습니다.
목차
제1장 서론
제2장 조사 방법
제3장 주요 요약
제4장 중요 인사이트
제5장 시장 개요 및 업계 동향
시장 역학
성장 촉진요인
억제요인
기회
과제
진화
생태계 분석
사례 연구 분석
공급망 분석
규제 상황
특허 분석
기술 분석
Porter's Five Forces 분석
주요 이해관계자 및 구매 기준
기술 로드맵
비즈니스 모델
환경, 사회 및 거버넌스 노력에 대한 의사결정 인텔리전스의 영향
주요 회의 및 이벤트
투자 및 자금조달 시나리오
고객의 비즈니스에 영향을 미치는 동향 및 혁신
가격 분석
제6장 의사결정 인텔리전스 시장 : 제공 구분별
플랫폼
솔루션
통합 레벨별
전개 모드별
서비스
전문 서비스
매니지드 서비스
제7장 의사결정 인텔리전스 시장 : 유형별
의사결정 자동화
의사결정 확장
의사결정 지원 시스템(DSS)
제8장 의사결정 인텔리전스 시장 : 비즈니스 기능별
마케팅 및 판매
브랜드 퍼포먼스
프로모션 및 인센티브 최적화
고객의 세분화
멀티채널 분석
기타
재무 및 회계
재무 계획 및 분석
비용 최적화 및 관리
세금의 계획 및 최적화
기타
인사
종업원 유지
노동력 배치 최적화
스킬 평가
기타
경영
근본 원인 분석
수요 예측
공급자 성능
기타
R&D
아이디어 평가
자원 배분
프로젝트 우선순위 지정
포트폴리오 관리
기타
제9장 의사결정 인텔리전스 시장 : 산업별
BFSI
자산 및 투자 관리
고객 지원
신용 결정
부정 행위 검출
보험 상품 및 보험의 설계
기타
소매 및 전자상거래
개인화 드레멘테이션
공급망 관리
가상 어시스턴트
옴니채널 통합
기타
헬스케어 및 생명과학
의료 화상 처리 및 진단
긴급 서포트
창약 및 임상 조사
기술 진단 및 지원
기타
통신
에이전트 지원 및 고객 서비스
서비스 보증
네트워크 분석
스펙트럼 관리
기타
에너지 및 유틸리티
예지보전
정지관리
비즈니스 프로세스 자동화
에너지 감시
기타
제조
퍼포먼스의 감시 및 제어
품질 관리
제네레이티브 디자인
생산 수율 최적화
기타
정부
데이터 통합
AI 채팅봇
정책 결정
사고 대응의 자동화
타겟을 좁힌 자원 할당
시민 서비스의 향상
기타
방위
타겟 인식
명령 및 제어 시스템
첩보 및 감시
미션 계획
긴급 관리
기타
기타
제10장 의사결정 인텔리전스 시장 : 지역별
북미
유럽
아시아태평양
중동 및 아프리카
라틴아메리카
제11장 경쟁 구도
개요
주요 기업의 전략 및 유력 기업
수익 분석
시장 점유율 분석
브랜드 및 제품 비교 분석
기업 평가 매트릭스 : 주요 기업
기업 평가 매트릭스 : 신흥기업 및 중소기업
경쟁 시나리오 및 동향
주요 벤더의 기업 평가 및 재무 지표
제12장 기업 프로파일
주요 기업
IBM
ORACLE
GOOGLE
INTEL
MICROSOFT
TCS
DOMO
BOARD INTERNATIONAL
H2O.AI
PROVENIR
PYRAMID ANALYTICS
4CAST
SYSTEMS TECHNOLOGY GROUP(STG)
COURSE5I
EY
QUANTEXA
스타트업 및 SME
QUANTELLIA
PLANNINGFORCE
PEAK.AI
DIWO
REMI AI
CEREBRA
CLARIFAI
FLYR
METAPHACTS
PARETOS
TELLIUS
EVOLUTION ANALYTICS
HYPERFINITY
AERA TECHNOLOGY
URBINT
제13장 인접 시장 및 관련 시장
제14장 부록
AJY
영문 목차
영문목차
The global decision intelligence market is valued at USD 13.3 billion in 2024 and is estimated to reach USD 50.1 billion in 2030, registering a CAGR of 24.7% during the forecast period. Decision intelligence integrates data, analytics, and AI to optimize outcomes by evaluating scenarios, weighing potential outcomes, and selecting the best option based on data-driven insights. It improves decision-making efficiency, reduces risks, and increases collaboration by streamlining processes and leveraging advanced analytics. Decision intelligence drives better outcomes in a rapidly evolving business landscape by enhancing decision accuracy, improving operational efficiency through automation, and fostering team collaboration. Embracing decision intelligence methodologies empowers organizations to make informed decisions across various functions, improving agility, innovation, and competitive advantages in today's dynamic business environment.
Scope of the Report
Years Considered for the Study
2019-2030
Base Year
2023
Forecast Period
2024-2030
Units Considered
USD Billion
Segments
By Offering, Type, Business Function, Vertical, and Region.
Regions covered
North America, Europe, Asia Pacific, Middle East & Africa, and Latin America
"By offering, the platform segment is projected to hold the largest market size during the forecast period."
Platforms are experiencing significant growth in the decision intelligence market, driven by AI integration, automation, and scalable analytics capabilities. These platforms leverage advanced algorithms, machine learning, and natural language processing to extract actionable insights from vast datasets. They enable businesses to streamline decision-making processes, optimize resource allocation, and improve operational efficiency. Cloud-based solutions offer flexibility, scalability, and real-time analytics, empowering organizations to make data-driven decisions swiftly. Integrated dashboards and visualization tools enhance data interpretation, fostering team collaboration and alignment. Platform growth in decision intelligence underscores the importance of agile, data-centric approaches in modern business strategies.
"By type, decision support system is registered to grow at the highest CAGR during the forecast period."
The adoption of DSS in the decision intelligence market is driven by several key factors. Businesses recognize the importance of data-driven decision-making processes, prompting the need for sophisticated systems that can analyze vast datasets. Technological advancements, particularly in AI, ML, and data analytics, have facilitated the development of these systems, enabling organizations to gain valuable insights for informed decision-making. Additionally, competitive pressures compel companies to make quick and well-informed decisions to maintain their edge in the market. As businesses grow in complexity, decision support systems help manage the increasing number of variables and factors involved in decision-making. Cost reduction is also a significant driver, as DSS can automate processes and minimize errors associated with manual analysis. Furthermore, decision support systems ensure compliance with industry regulations in regulated industries, such as finance and healthcare, by providing evidence-based decision-making processes. Adopting DSS in the decision intelligence market is essential for organizations to stay competitive, make better decisions, and navigate the complexities of today's business landscape effectively.
"Asia Pacific is projected to witness the highest CAGR during the forecast period."
The Asia-Pacific (APAC) region significantly impacts the Decision Intelligence market through its rapid adoption of advanced analytics, machine learning, and AI technologies. Key industries such as finance, healthcare, and retail leverage data-driven insights to enhance decision-making processes and gain competitive advantages. APAC's growing digital transformation initiatives, coupled with the increasing adoption of cloud computing and big data analytics platforms, fuel the demand for Decision Intelligence solutions. The region's emphasis on optimizing operational efficiencies, improving customer experiences, and achieving business scalability drives substantial investments and innovations in the Decision Intelligence market across diverse sectors.
Breakdown of primaries
In-depth interviews were conducted with Chief Executive Officers (CEOs), innovation and technology directors, system integrators, and executives from various key organizations operating in the decision intelligence market.
By Company: Tier I: 35%, Tier II: 45%, and Tier III: 20%
By Designation: C-Level Executives: 35%, Directors: 25%, and Others: 40%
By Region: North America: 45%, Europe: 20%, Asia Pacific: 30%, RoW: 5%
Major vendors offering decision intelligence solution and services across the globe are IBM (US), Oracle (US), Intel (US), Microsoft (US), Google (US), TCS (INDIA), DOMO(US), Board International (Switzerland), Provenir (New Jersey), Pyramid Analytics (Netherlands), 4CAST(Israel), H20.ai(CA), Remi.AI (Australia), Quantellia (US), Peak.AI (UK), DIWO(US), Cerebra (US), Clarifai (US), FLYR LABS(US), Metaphacts (Germany), Systems Technology Group (US), Paretos(Germany), Course5i(US), Telius (US), Evolution Analytics (US), HyperFinity (UK), Aera Technology (US), Quantexa (UK), Urbint(US), PlanningForce(Belgium), EY(UK).
Research Coverage
The market study covers decision intelligence across segments. It aims at estimating the market size and the growth potential across different segments, such as offering, type, business functions, verticals, and region. It includes an in-depth competitive analysis of the key players in the market, their company profiles, key observations related to product and business offerings, recent developments, and key market strategies.
Key Benefits of Buying the Report
The report would provide the market leaders/new entrants in this market with information on the closest approximations of the revenue numbers for the overall market for decision intelligence and its subsegments. It would help stakeholders understand the competitive landscape and gain more insights better to position their business and plan suitable go-to-market strategies. It also helps stakeholders understand the pulse of the market and provides them with information on key market drivers, restraints, challenges, and opportunities.
The report provides insights on the following pointers:
Analysis of key drivers (Advent of ML and AI helping various industries to maximize potential of decision intelligence, Increasing need to lower risks associated with human decisions), restraints (Information overload and dependence on decision support systems, Inability to quantify RoI), opportunities (Surge in developments of big data technology for actionable business intelligence, Elimination of mistakes and biases from the decision-making process to boost the adoption of decision intelligence technology), and challenges (Integration of data from data silos, Security of data and concerns on privacy to hinder widespread adoption of decision intelligence) influencing the growth of the decision intelligence market
Product Development/Innovation: Detailed insights on upcoming technologies, research & development activities, and new product & service launches in the decision intelligence market.
Market Development: Comprehensive information about lucrative markets - the report analyses the decision intelligence market across varied regions.
Market Diversification: Exhaustive information about new products & services, untapped geographies, recent developments, and investments in decision intelligence market strategies; the report also helps stakeholders understand the pulse of the decision intelligence market and provides them with information on key market drivers, restraints, challenges, and opportunities.
Competitive Assessment: In-depth assessment of market shares, growth strategies, and service offerings of leading players such as IBM (US), Oracle (US), Intel (US), Microsoft (US), Google (US), TCS (INDIA), among others in the decision intelligence market.
TABLE OF CONTENTS
1 INTRODUCTION
1.1 STUDY OBJECTIVES
1.2 MARKET DEFINITION
1.2.1 INCLUSIONS & EXCLUSIONS
1.3 STUDY SCOPE
1.3.1 MARKET SEGMENTATION
1.3.2 REGIONS COVERED
1.4 YEARS CONSIDERED
1.5 CURRENCY CONSIDERED
TABLE 1 USD EXCHANGE RATE, 2020-2023
1.6 STAKEHOLDERS
1.7 SUMMARY OF CHANGES
1.7.1 IMPACT OF RECESSION
2 RESEARCH METHODOLOGY
2.1 RESEARCH DATA
FIGURE 1 DECISION INTELLIGENCE MARKET: RESEARCH DESIGN
2.1.1 SECONDARY DATA
2.1.2 PRIMARY DATA
TABLE 2 PRIMARY INTERVIEWS
2.1.2.1 Breakup of primary profiles
2.1.2.2 Key insights from industry experts
2.2 DATA TRIANGULATION
FIGURE 2 DATA TRIANGULATION
2.3 MARKET SIZE ESTIMATION
FIGURE 3 DECISION INTELLIGENCE MARKET: TOP-DOWN AND BOTTOM-UP APPROACHES
2.3.1 TOP-DOWN APPROACH
2.3.2 BOTTOM-UP APPROACH
FIGURE 4 APPROACH 1 (SUPPLY SIDE): REVENUE OF PLATFORMS/SOLUTIONS/SERVICES IN DECISION INTELLIGENCE MARKET
FIGURE 5 APPROACH 2 (BOTTOM-UP; SUPPLY SIDE): COLLECTIVE REVENUE OF PLATFORMS/SOLUTIONS/SERVICES IN MARKET
FIGURE 6 APPROACH 3 (BOTTOM-UP; SUPPLY SIDE): COLLECTIVE REVENUE FROM PLATFORMS/SOLUTIONS/SERVICES OF DECISION INTELLIGENCE MARKET
FIGURE 7 MARKET SIZE ESTIMATION METHODOLOGY-APPROACH 3-BOTTOM-UP (DEMAND SIDE): SHARE OF DECISION INTELLIGENCE MARKET THROUGH OVERALL SPENDING
2.4 MARKET FORECAST
TABLE 3 FACTOR ANALYSIS
2.5 RESEARCH ASSUMPTIONS
2.6 LIMITATIONS
2.7 IMPACT OF RECESSION ON GLOBAL DECISION INTELLIGENCE MARKET
6.3.3.2.1 Need for seamless integration with other applications and enhancement of agility and scalability for efficient decision-making to contribute to market growth
FIGURE 40 DECISION SUPPORT SYSTEMS SEGMENT TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
TABLE 56 DECISION INTELLIGENCE MARKET, BY TYPE, 2019-2023 (USD MILLION)
TABLE 57 DECISION INTELLIGENCE MARKET, BY TYPE, 2024-2030 (USD MILLION)
7.2 DECISION AUTOMATION
7.2.1 NEED TO REDUCE ERRORS, ENSURE CONSISTENCY IN DECISION OUTCOMES, AND ENHANCE OVERALL DECISION QUALITY WHILE MINIMIZING OPERATIONAL COSTS TO SPUR MARKET GROWTH
8.4.1 DECISION INTELLIGENCE IN HUMAN RESOURCES TO AMPLIFY ORGANIZATIONAL EFFICACY, NURTURE EMPLOYEE CONTENTMENT, AND FUEL SUSTAINABLE GROWTH THROUGH JUDICIOUS DECISION-MAKING
TABLE 70 HUMAN RESOURCES: DECISION INTELLIGENCE MARKET, BY REGION, 2019-2023 (USD MILLION)
TABLE 71 HUMAN RESOURCES: DECISION INTELLIGENCE MARKET, BY REGION, 2024-2030 (USD MILLION)
8.4.2 EMPLOYEE RETENTION
8.4.3 WORKFORCE ALLOCATION OPTIMIZATION
8.4.4 SKILL ASSESSMENT
8.4.5 OTHER HUMAN RESOURCE FUNCTIONS
8.5 OPERATIONS
8.5.1 DECISION INTELLIGENCE TO PROCESS LARGE AMOUNTS OF DATA, IMPROVE DECISION-MAKING PROCESSES, AND DEMOCRATIZE ANALYTICS BY MERGING SOCIAL SCIENCE WITH DATA SCIENCE
9.8.1 DECISION INTELLIGENCE TO HELP POLICYMAKERS ANALYZE LARGE DATASETS OF DIFFERENT POLICY OPTIONS, ALLOCATE RESOURCES EFFICIENTLY BASED ON DATA-DRIVEN INSIGHTS, AND MITIGATE RISKS
10.4.4.1 Rapid tech advancements and government initiatives to drive demand for decision intelligence solutions
10.4.5 INDIA
10.4.5.1 Rapid digitization across various industries, proliferation of cloud computing infrastructure, and availability of affordable computing resources to boost market growth
10.4.6 SOUTH KOREA
10.4.6.1 Need for ethical and responsible utilization of AI and data in decision-making paradigms to drive market
10.4.7 AUSTRALIA & NEW ZEALAND
10.4.7.1 Emphasis on collaboration between government, industries, and academia to drive growth of decision intelligence market
10.4.8 REST OF ASIA PACIFIC
10.5 MIDDLE EAST & AFRICA
10.5.1 MIDDLE EAST & AFRICA: DECISION INTELLIGENCE MARKET DRIVERS
10.5.2 MIDDLE EAST & AFRICA: RECESSION IMPACT
TABLE 206 MIDDLE EAST & AFRICA: DECISION INTELLIGENCE MARKET, BY OFFERING, 2019-2023 (USD MILLION)
TABLE 207 MIDDLE EAST & AFRICA: DECISION INTELLIGENCE MARKET, BY OFFERING, 2024-2030 (USD MILLION)
TABLE 208 MIDDLE EAST & AFRICA: DECISION INTELLIGENCE SOLUTIONS MARKET, BY INTEGRATION LEVEL, 2019-2023 (USD MILLION)
TABLE 209 MIDDLE EAST & AFRICA: DECISION INTELLIGENCE SOLUTIONS MARKET, BY INTEGRATION LEVEL, 2024-2030 (USD MILLION)
TABLE 210 MIDDLE EAST & AFRICA: DECISION INTELLIGENCE MARKET, BY SERVICE, 2019-2023 (USD MILLION)
TABLE 211 MIDDLE EAST & AFRICA: DECISION INTELLIGENCE MARKET, BY SERVICE, 2024-2030 (USD MILLION)
TABLE 212 MIDDLE EAST & AFRICA: DECISION INTELLIGENCE MARKET, BY PROFESSIONAL SERVICE, 2019-2023 (USD MILLION)
TABLE 213 MIDDLE EAST & AFRICA: DECISION INTELLIGENCE MARKET, BY PROFESSIONAL SERVICE, 2024-2030 (USD MILLION)
TABLE 214 MIDDLE EAST & AFRICA: DECISION INTELLIGENCE SOLUTIONS MARKET, BY DEPLOYMENT MODE, 2019-2023 (USD MILLION)
TABLE 215 MIDDLE EAST & AFRICA: DECISION INTELLIGENCE SOLUTIONS MARKET, BY DEPLOYMENT MODE, 2024-2030 (USD MILLION)
TABLE 216 MIDDLE EAST & AFRICA: DECISION INTELLIGENCE MARKET, BY TYPE, 2019-2023 (USD MILLION)
TABLE 217 MIDDLE EAST & AFRICA: DECISION INTELLIGENCE MARKET, BY TYPE, 2024-2030 (USD MILLION)
TABLE 218 MIDDLE EAST & AFRICA: DECISION INTELLIGENCE MARKET, BY BUSINESS FUNCTION, 2019-2023 (USD MILLION)
TABLE 219 MIDDLE EAST & AFRICA: DECISION INTELLIGENCE MARKET, BY BUSINESS FUNCTION, 2024-2030 (USD MILLION)
TABLE 220 MIDDLE EAST & AFRICA: DECISION INTELLIGENCE MARKET, BY VERTICAL, 2019-2023 (USD MILLION)
TABLE 221 MIDDLE EAST & AFRICA: DECISION INTELLIGENCE MARKET, BY VERTICAL, 2024-2030 (USD MILLION)
TABLE 222 MIDDLE EAST & AFRICA: DECISION INTELLIGENCE MARKET, BY COUNTRY, 2019-2023 (USD MILLION)
TABLE 223 MIDDLE EAST & AFRICA: DECISION INTELLIGENCE MARKET, BY COUNTRY, 2024-2030 (USD MILLION)
10.5.3 UAE
10.5.3.1 Strategic incorporation of AI across sectors to drive market growth
10.5.4 KSA
10.5.4.1 Adoption of decision intelligence solutions to strengthen country's decision-making processes and drive economic growth
10.5.5 QATAR
10.5.5.1 Need for optimizing inventory management to boost demand for decision intelligence solutions
10.5.6 ISRAEL
10.5.6.1 Need to leverage advanced technologies for decision-making processes to fuel market growth
10.5.7 SOUTH AFRICA
10.5.7.1 Steps taken by government to educate and create awareness regarding advanced technologies to drive market
10.5.8 REST OF MIDDLE EAST & AFRICA
10.6 LATIN AMERICA
10.6.1 LATIN AMERICA: DECISION INTELLIGENCE MARKET DRIVERS
10.6.2 LATIN AMERICA: RECESSION IMPACT
TABLE 224 LATIN AMERICA: DECISION INTELLIGENCE MARKET, BY OFFERING, 2019-2023 (USD MILLION)
TABLE 225 LATIN AMERICA: DECISION INTELLIGENCE MARKET, BY OFFERING, 2024-2030 (USD MILLION)
TABLE 226 LATIN AMERICA: DECISION INTELLIGENCE SOLUTIONS MARKET, BY INTEGRATION LEVEL, 2019-2023 (USD MILLION)
TABLE 227 LATIN AMERICA DECISION INTELLIGENCE SOLUTIONS MARKET, BY INTEGRATION LEVEL, 2024-2030 (USD MILLION)
TABLE 228 LATIN AMERICA: DECISION INTELLIGENCE MARKET, BY SERVICE, 2019-2023 (USD MILLION)
TABLE 229 LATIN AMERICA: DECISION INTELLIGENCE MARKET, BY SERVICE, 2024-2030 (USD MILLION)
TABLE 230 LATIN AMERICA: DECISION INTELLIGENCE MARKET, BY PROFESSIONAL SERVICE, 2019-2023 (USD MILLION)
TABLE 231 LATIN AMERICA: DECISION INTELLIGENCE MARKET, BY PROFESSIONAL SERVICE, 2024-2030 (USD MILLION)
TABLE 232 LATIN AMERICA: DECISION INTELLIGENCE SOLUTIONS MARKET, BY DEPLOYMENT MODE, 2019-2023 (USD MILLION)
TABLE 233 LATIN AMERICA: DECISION INTELLIGENCE SOLUTIONS MARKET, BY DEPLOYMENT MODE, 2024-2030 (USD MILLION)
TABLE 234 LATIN AMERICA: DECISION INTELLIGENCE MARKET, BY TYPE, 2019-2023 (USD MILLION)
TABLE 235 LATIN AMERICA: DECISION INTELLIGENCE MARKET, BY TYPE, 2024-2030 (USD MILLION)
TABLE 236 LATIN AMERICA: DECISION INTELLIGENCE MARKET, BY BUSINESS FUNCTION, 2019-2023 (USD MILLION)
TABLE 237 LATIN AMERICA: DECISION INTELLIGENCE MARKET, BY BUSINESS FUNCTION, 2024-2030 (USD MILLION)
TABLE 238 LATIN AMERICA: DECISION INTELLIGENCE MARKET, BY VERTICAL, 2019-2023 (USD MILLION)
TABLE 239 LATIN AMERICA: DECISION INTELLIGENCE MARKET, BY VERTICAL, 2024-2030 (USD MILLION)
TABLE 240 LATIN AMERICA: DECISION INTELLIGENCE MARKET, BY COUNTRY, 2019-2023 (USD MILLION)
TABLE 241 LATIN AMERICA: DECISION INTELLIGENCE MARKET, BY COUNTRY, 2024-2030 (USD MILLION)
10.6.3 BRAZIL
10.6.3.1 Growing digital transformation to fuel demand for AI solutions
10.6.4 MEXICO
10.6.4.1 Increasing trade, rising customer base, and government initiatives to fuel growth of decision intelligence solutions
10.6.5 ARGENTINA
10.6.5.1 Government initiatives in Argentina to foster market growth
10.6.6 REST OF LATIN AMERICA
11 COMPETITIVE LANDSCAPE
11.1 OVERVIEW
11.2 KEY PLAYER STRATEGIES/RIGHT TO WIN
TABLE 242 OVERVIEW OF STRATEGIES ADOPTED BY KEY DECISION INTELLIGENCE VENDORS
11.3 REVENUE ANALYSIS
FIGURE 47 TOP FIVE PLAYERS DOMINATING MARKET IN LAST FIVE YEARS
11.4 MARKET SHARE ANALYSIS
FIGURE 48 MARKET SHARE ANALYSIS FOR KEY PLAYERS, 2023
11.4.1 MARKET RANKING ANALYSIS
TABLE 243 DECISION INTELLIGENCE MARKET: DEGREE OF COMPETITION