Artificial Intelligence Market by Offering, Technology, Business Function, Enterprise Application, and End User - Global Forecast to 2032
AI 시장 규모는 2025년 3,717억 1,000만 달러에서 2032년 2조 4,070억 2,000만 달러로 성장할 것으로 예상되며, 2025-2032년 CAGR은 30.6%로 예측됩니다.
AI 시장은 생성형 AI와 대규모 언어 모델의 발전에 힘입어 고객 참여를 위한 하이퍼 개인화 및 AI 지원 의사결정의 혁신에 박차를 가하고 있습니다. 이러한 기술을 통해 기업은 고객 경험을 개선하고 데이터에 기반한 의사결정을 내릴 수 있습니다. 그러나 시장은 모델 성능에 영향을 미치는 데이터 가용성 및 품질 문제와 같은 큰 제약 요인에 직면해 있습니다. 또한, AI의 높은 에너지 소비와 환경적 영향은 특히 대규모 배포에서 우려를 불러일으키며, AI 솔루션을 효율적으로 도입하려는 업계의 광범위한 채택과 지속가능성을 저해하고 있습니다.
| 조사 범위 |
| 조사 대상 연도 |
2020-2032년 |
| 기준 연도 |
2024년 |
| 예측 기간 |
2025-2032년 |
| 검토 단위 |
달러(10억 달러) |
| 부문 |
제공별, 기술별, 비즈니스 기능별, 기업 용도별, 최종사용자별, 지역별 |
| 대상 지역 |
북미, 유럽, 아시아태평양, 중동 및 아프리카, 라틴아메리카 |
AI 시스템, 데이터센터, 엣지 디바이스 간의 고속 및 저지연 통신에 대한 수요가 증가함에 따라 네트워킹 하드웨어는 AI 시장에서 가장 빠르게 성장하는 분야가 될 것입니다. 대규모 모델 학습 및 실시간 데이터 처리와 같은 AI 워크로드에는 방대한 양의 데이터를 최소한의 지연으로 처리할 수 있는 견고하고 효율적인 네트워킹 인프라가 필요합니다. 센서의 실시간 데이터를 빠르게 처리하고 통신해야 하는 자율주행차나 장치와 중앙 집중식 시스템 간의 빠른 데이터 전송이 중요한 제조 산업에서의 엣지 AI 도입과 같은 사용 사례는 고급 네트워킹 하드웨어의 필요성을 강조합니다. 또한, 클라우드 기반 AI 솔루션의 성장과 IoT 애플리케이션에서 AI에 대한 수요는 이러한 진화하는 기술을 지원하는 확장 가능한 고성능 네트워킹 하드웨어의 필요성을 더욱 높이고 있습니다.
마케팅과 영업은 AI가 고객 참여와 영업 효율성에 미치는 혁신적인 영향으로 인해 AI 시장 점유율을 장악할 것으로 예상되며, AI는 초개인화 마케팅, 예측 분석, 자동화를 통해 고객 경험을 개선하고 수익을 증가시킬 수 있습니다. 예를 들어, 델타항공이나 마스(Mars)와 같은 기업들은 AI를 활용하여 광고 전략을 최적화하고 매출을 크게 늘리고 있습니다. 또한, 챗봇이나 예측 리드 스코어링과 같은 AI 기반 도구는 영업 프로세스를 강화하고 전환율과 생산성을 향상시킵니다. 마케팅과 영업에 AI를 통합하는 것은 업무의 효율성을 높일 뿐만 아니라 측정 가능한 투자 수익률을 달성하여 AI 시장의 주요 촉진제로서의 입지를 확고히 하고 있습니다.
북미가 AI 시장을 주도하고 있는 가운데, 주요 하이테크 기업의 막대한 투자와 정부 지원 정책에 힘입어 엔비디아(Nvidia)와 AMD와 같은 기업들이 첨단 AI 하드웨어 및 소프트웨어 솔루션을 개발하며 선두를 달리고 있습니다. 헬스케어 분야의 예측 분석, 소매업의 개인화된 고객 서비스, 금융업의 지능형 자동화 등 다양한 분야에서 AI 도입이 계속 가속화되고 있습니다. 북미가 민관 협력, 디지털 혁신, AI 교육에 집중하고 있는 것도 북미의 시장 우위에 기여하고 있으며, 2025년 1월 트럼프 대통령은 특정 규제 장벽을 철폐하고 이념적 편견 없이 AI 개발을 촉진함으로써 미국의 AI 리더십을 강화하는 것을 목적으로 하는 대통령령 14179에 서명했습니다. 또한, 마이크로소프트가 위스콘신 주 AI 허브에 33억 달러를 투자한 것은 이 지역의 AI 발전에 대한 지속적인 노력을 강조하고 있습니다.
아시아태평양은 정부의 적극적인 정책, 디지털 전환의 증가, 지역 하이테크 리더들의 막대한 투자로 인해 AI 시장에서 가장 빠른 성장을 경험하고 있습니다. 중국에서는 Baidu, Alibaba, Tencent 등의 기업이 자율주행, E-Commerce, 헬스케어 등의 분야에서 AI를 추진하고 있습니다. 중국 정부는 생성형 AI 서비스를 위한 명확한 프레임워크를 도입하고, 혁신을 지원하는 규제 명확성을 제공하고 있습니다. 한편, 인도는 IndiaAI 이니셔티브를 출범하고, 국내 연구개발을 촉진하고 안전한 AI 도입을 보장하기 위해 최근 IndiaAI Safety Institute를 설립했습니다. 이 지역의 국가들은 스마트 제조, 지능형 물류, 고급 언어 처리에 AI를 활용하고 있습니다. 디지털 경제가 성숙하고 AI의 통합이 심화됨에 따라 아시아태평양은 AI 혁신의 세계 핫스팟이 될 준비가 되어 있습니다.
세계의 인공지능(AI) 시장에 대해 조사했으며, 제공별, 기술별, 비즈니스 기능별, 기업 용도별, 최종사용자별, 지역별 동향, 시장 진입 기업 프로파일 등의 정보를 정리하여 전해드립니다.
목차
제1장 소개
제2장 조사 방법
제3장 주요 요약
제4장 주요 인사이트
제5장 시장 개요와 업계 동향
- 소개
- 시장 역학
- 인공지능(AI) 시장 : 진화
- 공급망 분석
- 생태계 분석
- 2025년 미국 관세의 영향 - 인공지능(AI) 시장
- 투자 상황과 자금 조달 시나리오
- 사례 연구 분석
- 기술 분석
- 관세와 규제 상황
- 특허 분석
- 가격 분석
- 무역 분석
- 주요 회의와 이벤트(2025-2026년)
- Porter's Five Forces 분석
- 주요 이해관계자와 구입 기준
- 고객의 비즈니스에 영향을 미치는 동향/혼란
제6장 인공지능(AI) 시장(제공별)
- 소개
- 종류별 인프라
- 기능별 인프라
- 소프트웨어
- 서비스
제7장 인공지능(AI) 시장(기술별)
- 소개
- 머신러닝
- 자연어 처리
- 컴퓨터 비전 AI
- 상황 인식형 인공지능
- 생성형 AI
제8장 인공지능(AI) 시장(비즈니스 기능별)
- 소개
- 마케팅·세일즈
- 인사
- 재무·회계
- 오퍼레이션과 공급망
- 기타
제9장 인공지능(AI) 시장(기업 용도별)
- 소개
- BFSI
- 소매·E-Commerce
- 운송·물류
- 정부·방위
- 헬스케어·생명과학
- 통신
- 에너지·유틸리티
- 제조
- 농업
- 소프트웨어·기술 프로바이더
- 미디어·엔터테인먼트
- 기타
제10장 인공지능(AI) 시장(최종사용자별)
제11장 인공지능(AI) 시장(지역별)
- 소개
- 북미
- 북미 : 인공지능(AI) 시장 성장 촉진요인
- 북미 : 거시경제 전망
- 미국
- 캐나다
- 유럽
- 유럽 : 인공지능(AI) 시장 성장 촉진요인
- 유럽 : 거시경제 전망
- 영국
- 독일
- 프랑스
- 이탈리아
- 스페인
- 북유럽
- 베네룩스
- 러시아
- 기타
- 아시아태평양
- 아시아태평양 : 인공지능(AI) 시장 성장 촉진요인
- 아시아태평양 : 거시경제 전망
- 중국
- 인도
- 일본
- 한국
- 호주와 뉴질랜드
- ASEAN
- 기타
- 중동 및 아프리카
- 중동 및 아프리카 : 인공지능(AI) 시장 성장 촉진요인
- 중동 및 아프리카 : 거시경제 전망
- 사우디아라비아
- 아랍에미리트
- 남아프리카공화국
- 튀르키예
- 카타르
- 이집트
- 쿠웨이트
- 기타
- 라틴아메리카
- 라틴아메리카 : 인공지능(AI) 시장 성장 촉진요인
- 라틴아메리카 : 거시경제 전망
- 브라질
- 멕시코
- 아르헨티나
- 칠레
- 기타
제12장 경쟁 구도
- 개요
- 주요 진출 기업 전략, 2020-2024년
- 매출 분석, 2020-2024년
- 시장 점유율 분석, 2024년
- 제품 비교 분석
- 기업 평가와 재무 지표
- 기업 평가 매트릭스 : 주요 진출 기업(AI 인프라), 2024년
- 기업 평가 매트릭스 : 주요 진출 기업(AI 소프트웨어), 2024년
- 기업 평가 매트릭스 : 주요 진출 기업(AI 서비스), 2024년
- 기업 평가 매트릭스 : 스타트업/중소기업, 2024년
- 경쟁 시나리오와 동향
제13장 기업 개요
- 소개
- 주요 진출 기업
- NVIDIA
- MICROSOFT
- AWS
- GOOGLE
- IBM
- AMD
- ORACLE
- INTEL
- OPENAI
- BAIDU
- QUALCOMM
- HPE
- ALIBABA CLOUD
- HUAWEI
- SALESFORCE
- META
- SAP
- CISCO
- SAS INSTITUTE
- SIEMENS
- DATABRICKS
- IMERIT
- CENTIFIC
- QUANTIPHI
- TIGER ANALYTICS
- TELUS INTERNATIONAL
- INNODATA
- FRACTAL ANALYTICS
- SAMA
- 스타트업/중소기업
- ANTHROPIC
- SCALE AI
- C3 AI
- DIALPAD
- CEREBRAS
- SHIELD AI
- APPIER
- ADA
- DEEPL
- JASPER
- METROPOLIS TECHNOLOGIES
- ADEPT
- H2O.AI
- AI21 LABS
- SYNTHESIA
- COHERE
- PERSADO
- ANYSCALE
- APPEN
- SNORKEL
- COGITO TECH
- INBENTA
- OBSERVE AI
- CHARACTER.AI
- SPOT AI
- ARTHUR AI
- WRITESONIC
- INFLECTION AI
- MOSTLY AI
- LABELBOX
- GAMAYA
- GRAPHCORE
- HQE SYSTEMS, INC.
- ONE AI
- SOUNDFUL
- ARROW AI
제14장 인접 시장과 관련 시장
제15장 부록
ksm
The AI market is projected to grow from USD 371.71 billion in 2025 to USD 2,407.02 billion in 2032, at a CAGR of 30.6% during 2025-2032. The AI market is driven by advancements in generative AI and large language models, fueling innovations in hyper-personalization for customer engagement and AI-assisted decision-making. These technologies enable businesses to enhance customer experiences and make data-driven decisions. However, the market faces significant restraints, including challenges related to data availability and quality, which impact model performance. Additionally, AI's high energy consumption and environmental impact raise concerns, especially with large-scale deployments, hindering widespread adoption and sustainability in industries looking to implement AI solutions efficiently.
| Scope of the Report |
|---|
| Years Considered for the Study | 2020-2032 |
| Base Year | 2024 |
| Forecast Period | 2025-2032 |
| Units Considered | USD (Billion) |
| Segments | Offering, Business Function, Technology, Enterprise Application, End User, and Region |
| Regions covered | North America, Europe, Asia Pacific, Middle East & Africa, and Latin America |
"By infrastructure, the networking hardware segment is expected to register the highest growth rate during the forecast period."
Networking hardware is set to be the fastest-growing segment in the AI market due to the increasing demand for high-speed, low-latency communication between AI systems, data centers, and edge devices. AI workloads, such as training large models and real-time data processing, require a robust and efficient networking infrastructure to handle vast amounts of data with minimal delay. Use cases like autonomous vehicles, where real-time data from sensors needs to be processed and communicated quickly, and edge AI deployments in manufacturing, where quick data transmission between devices and centralized systems is crucial, highlight the need for advanced networking hardware. Additionally, the growth of cloud-based AI solutions and the demand for AI in IoT applications are further driving the need for scalable, high-performance networking hardware to support these evolving technologies.
"By business function, marketing and sales is expected to account for the largest market share during the forecast period."
Marketing and sales are expected to dominate the AI market share, driven by AI's transformative impact on customer engagement and sales efficiency. AI enables hyper-personalized marketing, predictive analytics, and automation, leading to improved customer experiences and increased revenue. For instance, companies like Delta Air Lines and Mars utilize AI to optimize advertising strategies, resulting in substantial sales growth. Additionally, AI-powered tools like chatbots and predictive lead scoring enhance sales processes, boosting conversion rates and productivity. The integration of AI in marketing and sales not only streamlines operations but also delivers measurable returns on investment, solidifying its position as a key driver in the AI market.
"By region, North America to have the largest market share in 2025, and Asia Pacific is slated to grow at the highest rate during the forecast period."
North America continues to dominate the AI market, driven by substantial investments from major tech companies and supportive government policies. Companies like Nvidia and AMD are at the forefront, developing advanced AI hardware and software solutions. AI adoption across sectors such as predictive analytics in healthcare, personalized customer service in retail, and intelligent automation in finance continues to drive momentum. North America's strong emphasis on public-private collaboration, digital transformation, and AI education also contributes to its dominant market position. In January 2025, President Trump signed Executive Order 14179, aiming to enhance US leadership in AI by removing certain regulatory barriers and promoting AI development free from ideological bias. Additionally, Microsoft's USD 3.3 billion investment in an AI hub in Wisconsin underscores the region's ongoing commitment to AI advancement.
Asia Pacific is experiencing the fastest growth in the AI market, driven by proactive government policies, increasing digital transformation, and heavy investments by regional tech leaders. In China, companies like Baidu, Alibaba, and Tencent are advancing AI across sectors, including autonomous driving, e-commerce, and healthcare. The Chinese government has introduced clear frameworks for generative AI services, providing regulatory clarity that supports innovation. Meanwhile, India has launched the IndiaAI initiative and recently established the IndiaAI Safety Institute to boost domestic R&D and ensure safe AI deployment. Countries across the region are leveraging AI for smart manufacturing, intelligent logistics, and advanced language processing. As digital economies mature and AI integration deepens, Asia Pacific is poised to be a global hotspot for AI innovation.
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 AI market.
- By Company: Tier I - 38%, Tier II - 27%, and Tier III - 35%
- By Designation: C-Level Executives - 33%, D-Level Executives - 40%, and others - 27%
- By Region: North America - 41%, Europe - 36%, Asia Pacific - 14%, Middle East & Africa - 5%, and Latin America - 4%
The report includes the study of key players offering AI solutions. It profiles major vendors in the AI market. The major players in the AI market include Microsoft (US), IBM (US), Google (US), Oracle (US), AWS (US), NVIDIA (US), Meta (US), Salesforce (US), OpenAI (US), Oracle (US), Intel (US), SAP (Germany), AMD (US), Qualcomm (US), Cisco (US), HPE (US), Siemens (Germany), Baidu (China), SAS Institute (US), Huawei (China), Alibaba Cloud (China), Centific (US), Fractal Analytics (US), Tiger Analytics (US), Quantiphi (US), databricks (US), iMerit (US), Telus International (US), Innodata (US), and Sama (US).
Research coverage
This research report categorizes the AI market by Offering (Infrastructure, Software, and Services), Technology (Machine Learning, Natural Language Processing, Computer Vision, Context-aware Artificial Intelligence (CAAI), and Generative AI), Business Function (Marketing and Sales, Human Resources, Finance and Accounting, Operations & Supply Chain, and Other Business Functions), Enterprise Application (BFSI, Transportation & Logistics, Government & Defense, Healthcare & Life Sciences, Telecommunication, Energy & Utilities, Manufacturing, Agriculture, Software & Technology Providers, Media & Entertainment, and Other Enterprise Applications), End User (Consumers and Enterprises [BFSI, Retail & E-commerce, Transportation & Logistics, Government & Defense, Healthcare & Life Sciences, Telecommunications, Energy & Utilities, Manufacturing, Education, Software & Technology Providers, Media & Entertainment, and Other Enterprises]), and Region (North America, Europe, Asia Pacific, Middle East & Africa, and Latin America). The scope of the report covers detailed information regarding the major factors, such as drivers, restraints, challenges, and opportunities, influencing the growth of the AI market. A detailed analysis of the key industry players has been done to provide insights into their business overview, solutions, and services; key strategies; contracts, partnerships, agreements, product & service launches, mergers and acquisitions, and recent developments associated with the AI market. This report covers a competitive analysis of upcoming startups in the AI market ecosystem.
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 AI market 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 (Growth in adoption of autonomous artificial intelligence, Rise of deep learning and machine learning technologies, and advancements in computing power and availability of large databases), restraints (Increasing concerns over IP ownership and legal risks in generative AI-generated content, Cost and complexity of aligning models with enterprise-specific compliance and governance policies, and fragmentation in AI toolchains and lack of standardized evaluation frameworks for enterprise readiness), opportunities (Advancements in AI-native infrastructure enhancing scalability and performance, Expansion of edge AI capabilities for real-time data processing and decision-making, and advancements in generative AI to open new avenues for AI-powered content creation), and challenges (Lack of transparency and explainability in decision-making process of AI, Concerns related to bias and inaccurately generated output, and integration challenges and lack of understanding of state-of-the-art systems).
- Product Development/Innovation: Detailed insights on upcoming technologies, research & development activities, and product & service launches in the AI market.
- Market Development: Comprehensive information about lucrative markets - the report analyzes the AI market across varied regions.
- Market Diversification: Exhaustive information about new products & services, untapped geographies, recent developments, and investments in the AI market.
- Competitive Assessment: In-depth assessment of market shares, growth strategies and service offerings of leading players like Microsoft (US), IBM (US), Google (US), Oracle (US), AWS (US), NVIDIA (US), Meta (US), Salesforce (US), OpenAI (US), Oracle (US), Intel (US), SAP (Germany), AMD (US), Qualcomm (US), Cisco (US), HPE (US), Siemens (Germany), Baidu (China), SAS Institute (US), Huawei (China), Alibaba Cloud (China), Centific (US), Fractal Analytics (US), Tiger Analytics (US), Quantiphi (US), databricks (US), iMerit (US), Telus International (US), Innodata (US), and Sama (US), among others in the AI market. The report also helps stakeholders understand the pulse of the AI market and provides them with information on key market drivers, restraints, challenges, and opportunities.
TABLE OF CONTENTS
1 INTRODUCTION
- 1.1 STUDY OBJECTIVES
- 1.2 MARKET DEFINITION
- 1.2.1 INCLUSIONS AND EXCLUSIONS
- 1.3 MARKET SCOPE
- 1.3.1 MARKET SEGMENTATION
- 1.3.2 YEARS CONSIDERED
- 1.4 CURRENCY CONSIDERED
- 1.5 STAKEHOLDERS
- 1.6 SUMMARY OF CHANGES
2 RESEARCH METHODOLOGY
- 2.1 RESEARCH DATA
- 2.1.1 SECONDARY DATA
- 2.1.2 PRIMARY DATA
- 2.1.2.1 Breakup of primary profiles
- 2.1.2.2 Key industry insights
- 2.2 MARKET BREAKUP AND DATA TRIANGULATION
- 2.3 MARKET SIZE ESTIMATION
- 2.3.1 TOP-DOWN APPROACH
- 2.3.2 BOTTOM-UP APPROACH
- 2.4 MARKET FORECAST
- 2.5 RESEARCH ASSUMPTIONS
- 2.6 STUDY LIMITATIONS
3 EXECUTIVE SUMMARY
4 PREMIUM INSIGHTS
- 4.1 ATTRACTIVE OPPORTUNITIES IN ARTIFICIAL INTELLIGENCE MARKET
- 4.2 ARTIFICIAL INTELLIGENCE MARKET: TOP THREE TECHNOLOGIES
- 4.3 NORTH AMERICA: ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING AND ENTERPRISE APPLICATION
- 4.4 ARTIFICIAL INTELLIGENCE MARKET, BY REGION
5 MARKET OVERVIEW AND INDUSTRY TRENDS
- 5.1 INTRODUCTION
- 5.2 MARKET DYNAMICS
- 5.2.1 DRIVERS
- 5.2.1.1 Growth in adoption of autonomous artificial intelligence
- 5.2.1.2 Rise of deep learning and machine learning technologies
- 5.2.1.3 Advancements in computing power and availability of large databases
- 5.2.2 RESTRAINTS
- 5.2.2.1 Increasing concerns over IP ownership and legal risks in generative AI-generated content
- 5.2.2.2 Cost and complexity of aligning models with enterprise-specific compliance and governance policies
- 5.2.2.3 Fragmentation in AI toolchains and lack of standardized evaluation frameworks for enterprise readiness
- 5.2.3 OPPORTUNITIES
- 5.2.3.1 Advancements in AI-native infrastructure enhancing scalability and performance
- 5.2.3.2 Expansion of edge AI capabilities for real-time data processing and decision-making
- 5.2.3.3 Advancements in generative AI to open new avenues for AI-powered content creation
- 5.2.4 CHALLENGES
- 5.2.4.1 Lack of transparency and explainability in decision-making process of AI
- 5.2.4.2 Concerns related to bias and inaccurately generated output
- 5.2.4.3 Integration challenges and lack of understanding of state-of-the-art systems
- 5.3 ARTIFICIAL INTELLIGENCE MARKET: EVOLUTION
- 5.4 SUPPLY CHAIN ANALYSIS
- 5.5 ECOSYSTEM ANALYSIS
- 5.5.1 ARTIFICIAL INTELLIGENCE HARDWARE PROVIDERS
- 5.5.2 ARTIFICIAL INTELLIGENCE SOFTWARE PROVIDERS
- 5.5.3 ARTIFICIAL INTELLIGENCE SERVICE PROVIDERS
- 5.6 IMPACT OF 2025 US TARIFF - ARTIFICIAL INTELLIGENCE (AI) MARKET
- 5.6.1 INTRODUCTION
- 5.6.2 KEY TARIFF RATES
- 5.6.3 PRICE IMPACT ANALYSIS
- 5.6.3.1 Strategic Shifts and Emerging Trends
- 5.6.4 IMPACT ON COUNTRY/REGION
- 5.6.4.1 US
- 5.6.4.1.1 Strategic Shifts and Key Observations
- 5.6.4.2 China
- 5.6.4.2.1 Strategic Shifts and Key Observations
- 5.6.4.3 Europe
- 5.6.4.3.1 Strategic Shifts and Key Observations
- 5.6.4.4 Asia Pacific (excluding China)
- 5.6.4.4.1 Strategic Shifts and Key Observations
- 5.6.5 IMPACT ON END-USE INDUSTRIES
- 5.6.5.1 BFSI
- 5.6.5.2 Healthcare & Life Sciences
- 5.6.5.3 Manufacturing
- 5.6.5.4 Retail & E-commerce
- 5.6.5.5 Telecommunications
- 5.6.5.6 Transportation & Logistics
- 5.6.5.7 Software & Technology Providers
- 5.6.5.8 Energy & Utilities
- 5.7 INVESTMENT LANDSCAPE AND FUNDING SCENARIO
- 5.8 CASE STUDY ANALYSIS
- 5.8.1 IBM AND VODAFONE: TRANSFORMING CUSTOMER ENGAGEMENT WITH AI-POWERED VIRTUAL ASSISTANT TOBI
- 5.8.2 MICROSOFT AND MARS: ADVANCING SUPPLY CHAIN OPTIMIZATION WITH AZURE MACHINE LEARNING
- 5.8.3 NVIDIA AND PERPLEXITY AI: BOOSTING MODEL PERFORMANCE AND COST EFFICIENCY WITH NEMO FRAMEWORK
- 5.8.4 OPENAI AND NOTION: POWERING INTELLIGENT PRODUCTIVITY WITH EMBEDDED AI ASSISTANTS
- 5.8.5 GOOGLE CLOUD AND GE APPLIANCES: DELIVERING PERSONALIZED COOKING EXPERIENCES WITH GENERATIVE AI
- 5.9 TECHNOLOGY ANALYSIS
- 5.9.1 KEY TECHNOLOGIES
- 5.9.1.1 Generative AI
- 5.9.1.2 Autonomous AI & Autonomous Agents
- 5.9.1.3 AutoML
- 5.9.1.4 Causal AI
- 5.9.1.5 MLOps
- 5.9.2 COMPLEMENTARY TECHNOLOGIES
- 5.9.2.1 Blockchain
- 5.9.2.2 Edge Computing
- 5.9.2.3 Sensors and Robotics
- 5.9.2.4 Cybersecurity
- 5.9.3 ADJACENT TECHNOLOGIES
- 5.9.3.1 Predictive Analytics
- 5.9.3.2 IoT
- 5.9.3.3 Big Data
- 5.9.3.4 Augmented Reality/Virtual Reality
- 5.10 TARIFF AND REGULATORY LANDSCAPE
- 5.10.1 TARIFF RELATED TO PROCESSORS AND CONTROLLERS (HSN: 854231)
- 5.10.2 REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
- 5.10.3 REGULATIONS: ARTIFICIAL INTELLIGENCE
- 5.10.3.1 North America
- 5.10.3.1.1 SCR 17: Artificial Intelligence Bill (California)
- 5.10.3.1.2 S1103: Artificial Intelligence Automated Decision Bill (Connecticut)
- 5.10.3.1.3 National Artificial Intelligence Initiative Act (NAIIA)
- 5.10.3.1.4 The Artificial Intelligence and Data Act (AIDA) - Canada
- 5.10.3.2 Europe
- 5.10.3.2.1 The European Union (EU) - Artificial Intelligence Act (AIA)
- 5.10.3.2.2 General Data Protection Regulation (Europe)
- 5.10.3.3 Asia Pacific
- 5.10.3.3.1 Interim Administrative Measures for Generative Artificial Intelligence Services (China)
- 5.10.3.3.2 The National AI Strategy (Singapore)
- 5.10.3.3.3 The Hiroshima AI Process Comprehensive Policy Framework (Japan)
- 5.10.3.4 Middle East & Africa
- 5.10.3.4.1 The National Strategy for Artificial Intelligence (UAE)
- 5.10.3.4.2 The National Artificial Intelligence Strategy (Qatar)
- 5.10.3.4.3 The AI Ethics Principles and Guidelines (Dubai)
- 5.10.3.5 Latin America
- 5.10.3.5.1 The Santiago Declaration (Chile)
- 5.10.3.5.2 The Brazilian Artificial Intelligence Strategy (EBIA)
- 5.11 PATENT ANALYSIS
- 5.11.1 METHODOLOGY
- 5.11.2 PATENTS FILED, BY DOCUMENT TYPE
- 5.11.3 INNOVATION AND PATENT APPLICATIONS
- 5.12 PRICING ANALYSIS
- 5.12.1 AVERAGE SELLING PRICE OF OFFERING, BY KEY PLAYER, 2025
- 5.12.2 AVERAGE SELLING PRICE, BY APPLICATION, 2025
- 5.13 TRADE ANALYSIS
- 5.13.1 EXPORT SCENARIO OF PROCESSORS AND CONTROLLERS
- 5.13.2 IMPORT SCENARIO OF PROCESSORS AND CONTROLLERS
- 5.14 KEY CONFERENCES AND EVENTS (2025-2026)
- 5.15 PORTER'S FIVE FORCES ANALYSIS
- 5.15.1 THREAT OF NEW ENTRANTS
- 5.15.2 THREAT OF SUBSTITUTES
- 5.15.3 BARGAINING POWER OF SUPPLIERS
- 5.15.4 BARGAINING POWER OF BUYERS
- 5.15.5 INTENSITY OF COMPETITIVE RIVALRY
- 5.16 KEY STAKEHOLDERS & BUYING CRITERIA
- 5.16.1 KEY STAKEHOLDERS IN BUYING PROCESS
- 5.16.2 BUYING CRITERIA
- 5.17 TRENDS/DISRUPTIONS IMPACTING CUSTOMERS' BUSINESSES
- 5.17.1 TRENDS/DISRUPTIONS IMPACTING CUSTOMERS' BUSINESSES
6 ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING
- 6.1 INTRODUCTION
- 6.1.1 OFFERING: ARTIFICIAL INTELLIGENCE MARKET DRIVERS
- 6.2 INFRASTRUCTURE, BY TYPE
- 6.2.1 AI MARKET GROWTH DRIVEN BY ROBUST INFRASTRUCTURE
- 6.2.2 COMPUTE
- 6.2.2.1 Graphics Processing Unit (GPU)
- 6.2.2.2 Central Processing Unit (CPU)
- 6.2.2.3 Field-programmable Gate Array (FPGA)
- 6.2.3 MEMORY
- 6.2.3.1 Double Data Rate (DDR)
- 6.2.3.2 High Bandwidth Memory (HBM)
- 6.2.4 NETWORKING HARDWARE
- 6.2.4.1 NIC/Network Adapters
- 6.2.4.1.1 Ethernet
- 6.2.4.1.2 InfiniBand
- 6.2.4.2 Interconnects
- 6.2.5 STORAGE
- 6.3 INFRASTRUCTURE, BY FUNCTION
- 6.3.1 INFERENCE INFRASTRUCTURE IN HIGH DEMAND AS ORGANIZATIONS MOVE TOWARD REAL-WORLD IMPLEMENTATION
- 6.3.2 TRAINING
- 6.3.3 INFERENCE
- 6.4 SOFTWARE
- 6.4.1 EMPOWERING SCALABLE INTELLIGENCE WITH PURPOSE-BUILT TOOLS
- 6.4.2 DIGITAL ASSISTANT & BOTS
- 6.4.3 MACHINE LEARNING FRAMEWORKS
- 6.4.4 NO-CODE/LOW-CODE ML TOOLS
- 6.4.5 COMPUTER VISION PLATFORMS
- 6.4.6 DATA PRE-PROCESSING TOOLS
- 6.4.7 BUSINESS INTELLIGENCE & ANALYTICS PLATFORMS
- 6.4.8 DEVELOPER PLATFORMS
- 6.4.9 OTHER AI SOFTWARE
- 6.5 SERVICES
- 6.5.1 POWERING AI SYSTEMS THROUGH STRUCTURED AND GOVERNED DATA
- 6.5.2 CORE DATA SERVICES
- 6.5.2.1 Data Collection & Ingestion
- 6.5.2.2 Data Processing & Transformation
- 6.5.2.3 Data Storage & Management
- 6.5.2.4 Data Security & Privacy
- 6.5.2.5 Data Governance & Quality Management
- 6.5.2.6 Data Integration & Interoperability
- 6.5.2.7 Data Annotation & Training Data Services
- 6.5.2.7.1 Human-in-the-loop Annotation
- 6.5.2.7.2 Automated Labeling & Augmentation
- 6.5.3 INTEGRATED SERVICES
- 6.5.3.1 AI Model Development & Deployment
- 6.5.3.2 AI Model Optimization & Fine-tuning
- 6.5.3.3 AI Security & Compliance Services
- 6.5.3.4 AI Software Development Services
- 6.5.3.5 Support & Maintenance Services
7 ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY
- 7.1 INTRODUCTION
- 7.1.1 TECHNOLOGY: ARTIFICIAL INTELLIGENCE MARKET DRIVERS
- 7.2 MACHINE LEARNING
- 7.2.1 STRATEGIC ROLE OF MACHINE LEARNING IN ENTERPRISE AI
- 7.2.2 SUPERVISED LEARNING
- 7.2.3 UNSUPERVISED LEARNING
- 7.2.4 REINFORCEMENT LEARNING
- 7.3 NATURAL LANGUAGE PROCESSING
- 7.3.1 UNLOCKING BUSINESS VALUE FROM UNSTRUCTURED AND MULTILINGUAL DATA
- 7.3.2 NATURAL LANGUAGE UNDERSTANDING
- 7.3.3 NATURAL LANGUAGE GENERATION
- 7.4 COMPUTER VISION AI
- 7.4.1 COMPUTER VISION AI TRANSLATES VISUAL DATA INTO REAL-TIME, ACTIONABLE INSIGHTS
- 7.4.2 OBJECT DETECTION
- 7.4.3 IMAGE CLASSIFICATION
- 7.4.4 SEMANTIC SEGMENTATION
- 7.4.5 FACIAL RECOGNITION
- 7.4.6 OTHER COMPUTER VISION AI
- 7.5 CONTEXT-AWARE ARTIFICIAL INTELLIGENCE
- 7.5.1 VIRTUAL ASSISTANTS MAINTAIN CONTINUITY AND INTENT ACROSS INTERACTIONS AND PLATFORMS
- 7.5.2 CONTEXT-AWARE RECOMMENDATION SYSTEMS
- 7.5.3 MULTI-MODAL AI
- 7.5.4 CONTEXT-AWARE VIRTUAL ASSISTANTS
- 7.6 GENERATIVE AI
- 7.6.1 DEEP LEARNING MODELS ENABLE MACHINES TO PRODUCE CONTEXTUALLY RELEVANT AND REALISTIC OUTPUTS
8 ARTIFICIAL INTELLIGENCE MARKET, BY BUSINESS FUNCTION
- 8.1 INTRODUCTION
- 8.1.1 BUSINESS FUNCTION: ARTIFICIAL INTELLIGENCE MARKET DRIVERS
- 8.2 MARKETING & SALES
- 8.2.1 PERSONALIZING MARKETING EFFORTS THROUGH CONTENT AND AUDIENCE SEGMENTATION
- 8.2.2 SENTIMENT ANALYSIS
- 8.2.3 PREDICTIVE FORECASTING
- 8.2.4 CONTENT GENERATION & MARKETING
- 8.2.5 AUDIENCE SEGMENTATION & PERSONALIZATION
- 8.2.6 CUSTOMER EXPERIENCE MANAGEMENT
- 8.2.7 OTHER MARKETING & SALES FUNCTIONS
- 8.3 HUMAN RESOURCES
- 8.3.1 ALIGNING EMPLOYEE PERFORMANCE WITH ORGANIZATIONAL GOALS USING AI
- 8.3.2 ONBOARDING AUTOMATION
- 8.3.3 CANDIDATE SCREENING & RECRUITMENT
- 8.3.4 PERFORMANCE MANAGEMENT
- 8.3.5 WORKFORCE MANAGEMENT
- 8.3.6 EMPLOYEE FEEDBACK ANALYSIS
- 8.3.7 OTHER HUMAN RESOURCES FUNCTIONS
- 8.4 FINANCE & ACCOUNTING
- 8.4.1 ENHANCING FORECASTING AND FINANCIAL PLANNING WITH AI
- 8.4.2 FINANCIAL PLANNING & FORECASTING
- 8.4.3 AUTOMATED BOOKKEEPING & RECONCILIATION
- 8.4.4 PROCUREMENT & SUPPLY CHAIN FINANCE
- 8.4.5 REVENUE CYCLE MANAGEMENT
- 8.4.6 FINANCIAL COMPLIANCE & REGULATORY REPORTING
- 8.4.7 OTHER FINANCE & ACCOUNTING FUNCTIONS
- 8.5 OPERATIONS & SUPPLY CHAIN
- 8.5.1 ACCURATE DEMAND FORECASTING WITH AI FOR SMARTER PLANNING
- 8.5.2 AIOPS
- 8.5.3 IT SERVICE MANAGEMENT
- 8.5.4 DEMAND PLANNING & FORECASTING
- 8.5.5 PROCUREMENT & SOURCING
- 8.5.6 WAREHOUSE & INVENTORY MANAGEMENT
- 8.5.7 PRODUCTION PLANNING & SCHEDULING
- 8.5.8 OTHER OPERATIONS & SUPPLY CHAIN FUNCTIONS
- 8.6 OTHER BUSINESS FUNCTIONS
9 ARTIFICIAL INTELLIGENCE MARKET, BY ENTERPRISE APPLICATION
- 9.1 INTRODUCTION
- 9.1.1 ENTERPRISE APPLICATION: ARTIFICIAL INTELLIGENCE MARKET DRIVERS
- 9.2 BFSI
- 9.2.1 ADOPTION OF AI IN BFSI DRIVEN BY RISING DATA VOLUMES, REGULATORY COMPLEXITY, AND EVOLVING CUSTOMER EXPECTATIONS
- 9.2.2 FRAUD DETECTION AND PREVENTION
- 9.2.3 RISK ASSESSMENT AND MANAGEMENT
- 9.2.4 ALGORITHMIC TRADING
- 9.2.5 CREDIT SCORING AND UNDERWRITING
- 9.2.6 CUSTOMER SERVICE AUTOMATION
- 9.2.7 PERSONALIZED FINANCIAL RECOMMENDATIONS
- 9.2.8 INVESTMENT PORTFOLIO MANAGEMENT
- 9.2.9 REGULATORY COMPLIANCE MONITORING
- 9.2.10 OTHER BFSI APPLICATIONS
- 9.3 RETAIL & E-COMMERCE
- 9.3.1 PRICE OPTIMIZATION AND SUPPLY CHAIN MANAGEMENT-LIKE FUNCTIONS BEING REVOLUTIONIZED THROUGH PREDICTIVE ALGORITHMS AND REAL-TIME ANALYTICS
- 9.3.2 PERSONALIZED PRODUCT RECOMMENDATION
- 9.3.3 CUSTOMER RELATIONSHIP MANAGEMENT
- 9.3.4 VISUAL SEARCH
- 9.3.5 VIRTUAL CUSTOMER ASSISTANT
- 9.3.6 PRICE OPTIMIZATION
- 9.3.7 SUPPLY CHAIN MANAGEMENT & DEMAND PLANNING
- 9.3.8 VIRTUAL STORES
- 9.3.9 OTHER RETAIL & E-COMMERCE APPLICATIONS
- 9.4 TRANSPORTATION & LOGISTICS
- 9.4.1 SUPPLY CHAIN VISIBILITY AND TRACKING ENHANCED THROUGH AI-DRIVEN REAL-TIME MONITORING AND PREDICTIVE ANALYTICS
- 9.4.2 ROUTE OPTIMIZATION
- 9.4.3 DRIVER ASSISTANCE SYSTEM
- 9.4.4 SEMI-AUTONOMOUS & AUTONOMOUS VEHICLES
- 9.4.5 INTELLIGENT TRAFFIC MANAGEMENT
- 9.4.6 SMART LOGISTICS AND WAREHOUSING
- 9.4.7 SUPPLY CHAIN VISIBILITY AND TRACKING
- 9.4.8 FLEET MANAGEMENT
- 9.4.9 OTHER TRANSPORTATION AND LOGISTICS APPLICATIONS
- 9.5 GOVERNMENT & DEFENSE
- 9.5.1 AI STRENGTHENS COMMAND AND CONTROL SYSTEMS BY INTEGRATING DATA FOR UNIFIED OPERATIONAL VIEWS AND STRATEGIC DECISIONS
- 9.5.2 SURVEILLANCE AND SITUATIONAL AWARENESS
- 9.5.3 LAW ENFORCEMENT
- 9.5.4 INTELLIGENCE ANALYSIS AND DATA PROCESSING
- 9.5.5 SIMULATION AND TRAINING
- 9.5.6 COMMAND AND CONTROL
- 9.5.7 DISASTER RESPONSE AND RECOVERY ASSISTANCE
- 9.5.8 E-GOVERNANCE AND DIGITAL CITY SERVICES
- 9.5.9 OTHER GOVERNMENT & DEFENSE APPLICATIONS
- 9.6 HEALTHCARE & LIFE SCIENCES
- 9.6.1 AI EXTENDS ITS IMPACT INTO DRUG DISCOVERY, VIRTUAL CARE, AND MEDICAL RESEARCH
- 9.6.2 PATIENT DATA AND RISK ANALYSIS
- 9.6.3 LIFESTYLE MANAGEMENT AND MONITORING
- 9.6.4 PRECISION MEDICINE
- 9.6.5 INPATIENT CARE AND HOSPITAL MANAGEMENT
- 9.6.6 MEDICAL IMAGING AND DIAGNOSTICS
- 9.6.7 DRUG DISCOVERY
- 9.6.8 AI-ASSISTED MEDICAL SERVICES
- 9.6.9 MEDICAL RESEARCH
- 9.6.10 OTHER HEALTHCARE & LIFE SCIENCES APPLICATIONS
- 9.7 TELECOMMUNICATIONS
- 9.7.1 TELECOM OPERATORS TURNING TO AI TO ENHANCE AGILITY, REDUCE OPERATIONAL COSTS, AND DELIVER SUPERIOR USER EXPERIENCES
- 9.7.2 NETWORK OPTIMIZATION
- 9.7.3 NETWORK SECURITY
- 9.7.4 CUSTOMER SERVICE AND SUPPORT
- 9.7.5 NETWORK ANALYTICS
- 9.7.6 INTELLIGENT CALL ROUTING
- 9.7.7 NETWORK FAULT PREDICTION
- 9.7.8 VIRTUAL NETWORK ASSISTANTS
- 9.7.9 VOICE AND SPEECH RECOGNITION
- 9.7.10 OTHER TELECOMMUNICATIONS APPLICATIONS
- 9.8 ENERGY & UTILITIES
- 9.8.1 ADVANCED MACHINE LEARNING ALGORITHMS AND EDGE AI PLATFORMS ENABLING REAL-TIME OPTIMIZATION AND PREDICTIVE MAINTENANCE
- 9.8.2 ENERGY DEMAND FORECASTING
- 9.8.3 GRID OPTIMIZATION AND MANAGEMENT
- 9.8.4 ENERGY CONSUMPTION ANALYTICS
- 9.8.5 SMART METERING AND ENERGY DATA MANAGEMENT
- 9.8.6 ENERGY STORAGE OPTIMIZATION
- 9.8.7 REAL-TIME ENERGY MONITORING AND CONTROL
- 9.8.8 POWER QUALITY MONITORING AND MANAGEMENT
- 9.8.9 ENERGY TRADING AND MARKET FORECASTING
- 9.8.10 INTELLIGENT ENERGY MANAGEMENT SYSTEMS
- 9.8.11 OTHER ENERGY & UTILITIES APPLICATIONS
- 9.9 MANUFACTURING
- 9.9.1 AI SUPPORTS SUSTAINABLE MANUFACTURING THROUGH RECYCLABLE MATERIAL RECLAMATION
- 9.9.2 MATERIAL MOVEMENT MANAGEMENT
- 9.9.3 PREDICTIVE MAINTENANCE AND MACHINERY INSPECTION
- 9.9.4 PRODUCTION PLANNING
- 9.9.5 RECYCLABLE MATERIAL RECLAMATION
- 9.9.6 PRODUCTION LINE OPTIMIZATION
- 9.9.7 QUALITY CONTROL
- 9.9.8 INTELLIGENT INVENTORY MANAGEMENT
- 9.9.9 OTHER MANUFACTURING APPLICATIONS
- 9.10 AGRICULTURE
- 9.10.1 AI'S GROWING INFLUENCE IN AGRICULTURE NECESSARY STEP TOWARD FUTURE-READY FARMING SYSTEMS
- 9.10.2 CROP MONITORING AND YIELD PREDICTION
- 9.10.3 PRECISION FARMING
- 9.10.4 SOIL ANALYSIS AND NUTRIENT MANAGEMENT
- 9.10.5 PEST AND DISEASE DETECTION
- 9.10.6 IRRIGATION OPTIMIZATION AND WATER MANAGEMENT
- 9.10.7 AUTOMATED HARVESTING AND SORTING
- 9.10.8 WEED DETECTION AND MANAGEMENT
- 9.10.9 WEATHER AND CLIMATE MONITORING
- 9.10.10 LIVESTOCK MONITORING AND HEALTH MANAGEMENT
- 9.10.11 OTHER AGRICULTURE APPLICATIONS
- 9.11 SOFTWARE & TECHNOLOGY PROVIDERS
- 9.11.1 FROM INTELLIGENT AUTOMATION TO ROBUST SECURITY, AI IS REDEFINING SOFTWARE CAPABILITIES
- 9.11.2 CODE GENERATION & AUTO-COMPLETION
- 9.11.3 BUG DETECTION & FIXING
- 9.11.4 AUTOMATED SOFTWARE TESTING & QA
- 9.11.5 AI-POWERED CYBERSECURITY & THREAT DETECTION
- 9.11.6 AUTOMATED DEVOPS & CI/CD OPTIMIZATION
- 9.11.7 OTHER SOFTWARE & TECHNOLOGY PROVIDERS APPLICATIONS
- 9.12 MEDIA AND ENTERTAINMENT
- 9.12.1 FROM PERSONALIZED CONTENT TO COPYRIGHT PROTECTION, AI TO RESHAPE DIGITAL MEDIA STRATEGIES
- 9.12.2 CONTENT RECOMMENDATION SYSTEMS
- 9.12.3 CONTENT CREATION AND GENERATION
- 9.12.4 CONTENT COPYRIGHT PROTECTION
- 9.12.5 AUDIENCE ANALYTICS AND SEGMENTATION
- 9.12.6 PERSONALIZED ADVERTISING
- 9.12.7 OTHER MEDIA AND ENTERTAINMENT APPLICATIONS
- 9.13 OTHER ENTERPRISE APPLICATIONS
10 ARTIFICIAL INTELLIGENCE MARKET, BY END USER
- 10.1 INTRODUCTION
- 10.1.1 END USER: ARTIFICIAL INTELLIGENCE MARKET DRIVERS
- 10.2 CONSUMERS
- 10.2.1 AI INTEGRATION INTO SMART ASSISTANTS, AND CREATIVE CONTENT GENERATION TOOLS DRIVING RAPID CONSUMER ADOPTION
- 10.3 ENTERPRISES
- 10.3.1 BFSI
- 10.3.1.1 Increased use of AI for fraud detection, personalized financial services, and real-time risk management in BFSI
- 10.3.1.2 Banking
- 10.3.1.3 Financial Services
- 10.3.1.4 Insurance
- 10.3.2 RETAIL & E-COMMERCE
- 10.3.2.1 AI-powered recommendation engines, personalized marketing, and dynamic pricing are transforming consumer experiences
- 10.3.2.2 Consumer Goods Retail
- 10.3.2.3 Industrial Goods Retail
- 10.3.3 TRANSPORTATION & LOGISTICS
- 10.3.3.1 AI is optimizing route planning and supply chain visibility, enabling cost-effective and responsive transportation systems
- 10.3.3.2 Rail
- 10.3.3.3 Road
- 10.3.3.4 Marine
- 10.3.3.5 Air
- 10.3.4 GOVERNMENT & DEFENSE
- 10.3.4.1 AI is enabling smarter public services, enhanced security, and improved decision-making in government operations
- 10.3.4.2 Federal Government
- 10.3.4.3 State & Local Governments
- 10.3.4.4 Military & Defense
- 10.3.4.5 Public Service Agencies
- 10.3.5 HEALTHCARE & LIFE SCIENCES
- 10.3.5.1 AI transforming clinical and operational aspects of healthcare through rapid drug discovery and improving diagnostic accuracy
- 10.3.5.2 Healthcare Providers
- 10.3.5.3 Pharmaceuticals & Biotech Sector
- 10.3.5.4 MedTech
- 10.3.6 TELECOMMUNICATIONS
- 10.3.6.1 Telecom providers are leveraging AI to optimize their infrastructure and services via autonomous network management
- 10.3.6.2 Network Operators
- 10.3.6.3 Telecom Equipment Providers
- 10.3.6.4 Communication Service Providers (CSPs)
- 10.3.6.5 Data & Cloud Connectivity Providers
- 10.3.7 ENERGY & UTILITIES
- 10.3.7.1 AI-driven energy optimization, predictive maintenance, and grid management are supporting the transition to renewable energy
- 10.3.7.2 Oil & Gas
- 10.3.7.3 Power Generation
- 10.3.7.4 Utilities
- 10.3.8 MANUFACTURING
- 10.3.8.1 Predictive maintenance, smart factories, and automation of production lines through AI are enhancing productivity and reducing downtime
- 10.3.8.2 Discrete Manufacturing
- 10.3.8.3 Process Manufacturing
- 10.3.9 SOFTWARE & TECHNOLOGY PROVIDERS
- 10.3.9.1 AI-driven infrastructure and generative AI tools are empowering software & tech players to integrate AI into products and services
- 10.3.9.2 Cloud Hyperscalers
- 10.3.9.3 Foundation Model/LLM Providers
- 10.3.9.4 AI Technology Providers
- 10.3.9.5 IT & IT-enabled Service Providers (ITeS)
- 10.3.10 MEDIA AND ENTERTAINMENT
- 10.3.10.1 Generative AI tools for content creation and real-time personalization are accelerating innovation and cost reduction in media industries
- 10.3.10.2 Publishing & Journalism
- 10.3.10.3 Television, Film & OTT
- 10.3.10.4 Music & Audio
- 10.3.10.5 Gaming & Interactive Media
- 10.3.10.6 Advertising & Marketing Agencies
- 10.3.10.7 Other Media & Entertainment Enterprises
- 10.3.11 OTHER ENTERPRISES
- 10.3.11.1 AI applications like personalized learning, audience engagement, and operational optimization are driving efficiencies
11 ARTIFICIAL INTELLIGENCE MARKET, BY REGION
- 11.1 INTRODUCTION
- 11.2 NORTH AMERICA
- 11.2.1 NORTH AMERICA: ARTIFICIAL INTELLIGENCE MARKET DRIVERS
- 11.2.2 NORTH AMERICA: MACROECONOMIC OUTLOOK
- 11.2.3 US
- 11.2.3.1 Growth initiatives by US government and businesses to drive market growth
- 11.2.4 CANADA
- 11.2.4.1 Rise in funding for building transformational public computing infrastructure
- 11.3 EUROPE
- 11.3.1 EUROPE: ARTIFICIAL INTELLIGENCE MARKET DRIVERS
- 11.3.2 EUROPE: MACROECONOMIC OUTLOOK
- 11.3.3 UK
- 11.3.3.1 Continuous investments and initiatives by UK government to bolster growth of AI market
- 11.3.4 GERMANY
- 11.3.4.1 Germany recognizing AI as most important future technology
- 11.3.5 FRANCE
- 11.3.5.1 Active promotions of AI initiatives and investments in research and development to push French market forward
- 11.3.6 ITALY
- 11.3.6.1 Adoption of sophisticated technologies with thriving startup ecosystem in Italy to drive market growth
- 11.3.7 SPAIN
- 11.3.7.1 Initiatives by Spanish government to promote widespread adoption of artificial intelligence
- 11.3.8 NORDICS
- 11.3.9 BENELUX
- 11.3.10 RUSSIA
- 11.3.11 REST OF EUROPE
- 11.4 ASIA PACIFIC
- 11.4.1 ASIA PACIFIC: ARTIFICIAL INTELLIGENCE MARKET DRIVERS
- 11.4.2 ASIA PACIFIC: MACROECONOMIC OUTLOOK
- 11.4.3 CHINA
- 11.4.3.1 Government initiatives and regulations in favor of AI development in China to drive market growth
- 11.4.4 INDIA
- 11.4.4.1 Exploring generative AI for innovation and industry transformation in India to drive market growth
- 11.4.5 JAPAN
- 11.4.5.1 Japan's diverse ecosystem of startups and established tech giants to drive innovation
- 11.4.6 SOUTH KOREA
- 11.4.6.1 Government investments in artificial intelligence infrastructure to enhance citizen services in South Korea
- 11.4.7 AUSTRALIA & NEW ZEALAND
- 11.4.7.1 Business experiments with gen AI applications to analyze vast amounts of data and extract insights
- 11.4.8 ASEAN
- 11.4.9 REST OF ASIA PACIFIC
- 11.5 MIDDLE EAST & AFRICA
- 11.5.1 MIDDLE EAST & AFRICA: ARTIFICIAL INTELLIGENCE MARKET DRIVERS
- 11.5.2 MIDDLE EAST & AFRICA: MACROECONOMIC OUTLOOK
- 11.5.3 SAUDI ARABIA
- 11.5.3.1 Greater emphasis on artificial intelligence development across key industry verticals in Saudi Arabia to drive market growth
- 11.5.4 UAE
- 11.5.4.1 Implementing proactive strategies and establishing regulatory frameworks for AI adoption to drive market growth
- 11.5.5 SOUTH AFRICA
- 11.5.5.1 Collaborations and investments to boost startup ecosystem growth
- 11.5.6 TURKEY
- 11.5.6.1 Turkish government fostering innovation and international collaborations to drive economic growth
- 11.5.7 QATAR
- 11.5.7.1 Robust and resilient physical and digital infrastructure to be key enabler for Qatar's economic development
- 11.5.8 EGYPT
- 11.5.8.1 Government's strategic focus on digital transformation and innovation to drive market in Egypt
- 11.5.9 KUWAIT
- 11.5.9.1 Rising number of investments in AI technologies and government initiatives to push market in Kuwait
- 11.5.10 REST OF MIDDLE EAST & AFRICA
- 11.6 LATIN AMERICA
- 11.6.1 LATIN AMERICA: ARTIFICIAL INTELLIGENCE MARKET DRIVERS
- 11.6.2 LATIN AMERICA: MACROECONOMIC OUTLOOK
- 11.6.3 BRAZIL
- 11.6.3.1 Strong governmental support and growing interest from private enterprises to boost AI market in Brazil
- 11.6.4 MEXICO
- 11.6.4.1 Mexico to become digitally advanced country due to adoption of AI
- 11.6.5 ARGENTINA
- 11.6.5.1 Adoption of artificial intelligence to enhance processes and improve decision-making of businesses in Argentina
- 11.6.6 CHILE
- 11.6.6.1 Rise in adoption of artificial intelligence to promote research and innovation centered around human well-being to drive market growth
- 11.6.7 REST OF LATIN AMERICA
12 COMPETITIVE LANDSCAPE
- 12.1 OVERVIEW
- 12.2 KEY PLAYER STRATEGIES, 2020-2024
- 12.3 REVENUE ANALYSIS, 2020-2024
- 12.4 MARKET SHARE ANALYSIS, 2024
- 12.4.1 MARKET RANKING ANALYSIS, 2024
- 12.5 PRODUCT COMPARATIVE ANALYSIS
- 12.5.1 PRODUCT COMPARATIVE ANALYSIS, BY MACHINE LEARNING
- 12.5.1.1 Vertex AI
- 12.5.1.2 Amazon Forecast
- 12.5.1.3 NVIDIA Jarvis
- 12.5.1.4 SAS Viya
- 12.5.1.5 Microsoft Azure AI Personalizer
- 12.5.2 PRODUCT COMPARATIVE ANALYSIS, BY NATURAL LANGUAGE PROCESSING
- 12.5.2.1 Gensim
- 12.5.2.2 MindMeld
- 12.5.2.3 Google Cloud Natural Language
- 12.5.2.4 MonkeyLearn
- 12.5.2.5 Amazon Comprehend
- 12.5.3 PRODUCT COMPARATIVE ANALYSIS, BY COMPUTER VISION
- 12.5.3.1 OpenCV
- 12.5.3.2 Viso Suite
- 12.5.3.3 TensorFlow
- 12.5.3.4 MATLAB
- 12.5.3.5 Keras
- 12.6 COMPANY VALUATION AND FINANCIAL METRICS
- 12.7 COMPANY EVALUATION MATRIX: KEY PLAYERS (AI INFRASTRUCTURE), 2024
- 12.7.1 STARS
- 12.7.2 EMERGING LEADERS
- 12.7.3 PERVASIVE PLAYERS
- 12.7.4 PARTICIPANTS
- 12.7.5 COMPANY FOOTPRINT: KEY PLAYERS (AI INFRASTRUCTURE), 2024
- 12.7.5.1 Company Footprint
- 12.7.5.2 Offering Footprint
- 12.7.5.3 Technology Footprint
- 12.7.5.4 Enterprise Application Footprint
- 12.7.5.5 Region Footprint
- 12.8 COMPANY EVALUATION MATRIX: KEY PLAYERS (AI SOFTWARE), 2024
- 12.8.1 STARS
- 12.8.2 EMERGING LEADERS
- 12.8.3 PERVASIVE PLAYERS
- 12.8.4 PARTICIPANTS
- 12.8.5 COMPANY FOOTPRINT: KEY PLAYERS (AI SOFTWARE), 2024
- 12.8.5.1 Company Footprint
- 12.8.5.2 Offering Footprint
- 12.8.5.3 Technology Footprint
- 12.8.5.4 Enterprise Application Footprint
- 12.8.5.5 Region Footprint
- 12.9 COMPANY EVALUATION MATRIX: KEY PLAYERS (AI SERVICES), 2024
- 12.9.1 STARS
- 12.9.2 EMERGING LEADERS
- 12.9.3 PERVASIVE PLAYERS
- 12.9.4 PARTICIPANTS
- 12.9.5 COMPANY FOOTPRINT: KEY PLAYERS (AI SERVICES), 2024
- 12.9.5.1 Company Footprint
- 12.9.5.2 Offering Footprint
- 12.9.5.3 Technology Footprint
- 12.9.5.4 Enterprise Application Footprint
- 12.9.5.5 Region Footprint
- 12.10 COMPANY EVALUATION MATRIX: STARTUPS/SMES, 2024
- 12.10.1 STARTUPS/SMES - AI SOFTWARE PLAYERS
- 12.10.1.1 Progressive Companies
- 12.10.1.2 Responsive Companies
- 12.10.1.3 Dynamic Companies
- 12.10.1.4 Starting Blocks
- 12.10.2 STARTUPS/SMES - AI SERVICES PROVIDERS
- 12.10.2.1 Progressive Companies
- 12.10.2.2 Responsive Companies
- 12.10.2.3 Dynamic Companies
- 12.10.2.4 Starting Blocks
- 12.10.3 COMPETITIVE BENCHMARKING: STARTUPS/SMES, 2024
- 12.10.3.1 Detailed List of Key Startups/SMEs
- 12.10.3.2 Competitive Benchmarking of Key Startups/SMEs
- 12.11 COMPETITIVE SCENARIO AND TRENDS
- 12.11.1 PRODUCT LAUNCHES AND ENHANCEMENTS
- 12.11.2 DEALS
13 COMPANY PROFILES
- 13.1 INTRODUCTION
- 13.2 MAJOR PLAYERS
- 13.2.1 NVIDIA
- 13.2.1.1 Business overview
- 13.2.1.2 Products offered
- 13.2.1.3 Recent developments
- 13.2.1.3.1 Product launches and enhancements
- 13.2.1.3.2 Deals
- 13.2.1.4 MnM view
- 13.2.1.4.1 Key strengths/Right to win
- 13.2.1.4.2 Strategic choices
- 13.2.1.4.3 Weaknesses and competitive threats
- 13.2.2 MICROSOFT
- 13.2.2.1 Business overview
- 13.2.2.2 Products offered
- 13.2.2.3 Recent developments
- 13.2.2.3.1 Product launches and enhancements
- 13.2.2.3.2 Deals
- 13.2.2.4 MnM view
- 13.2.2.4.1 Key strengths/Right to win
- 13.2.2.4.2 Strategic choices
- 13.2.2.4.3 Weaknesses and competitive threats
- 13.2.3 AWS
- 13.2.3.1 Business overview
- 13.2.3.2 Products offered
- 13.2.3.3 Recent developments
- 13.2.3.3.1 Product launches and enhancements
- 13.2.3.3.2 Deals
- 13.2.3.3.3 Others
- 13.2.3.4 MnM view
- 13.2.3.4.1 Key strengths/Right to win
- 13.2.3.4.2 Strategic choices
- 13.2.3.4.3 Weaknesses and competitive threats
- 13.2.4 GOOGLE
- 13.2.4.1 Business overview
- 13.2.4.2 Products offered
- 13.2.4.3 Recent developments
- 13.2.4.3.1 Product launches and enhancements
- 13.2.4.3.2 Deals
- 13.2.4.3.3 Expansions
- 13.2.4.4 MnM view
- 13.2.4.4.1 Key strengths/Right to win
- 13.2.4.4.2 Strategic choices
- 13.2.4.4.3 Weaknesses and competitive threats
- 13.2.5 IBM
- 13.2.5.1 Business overview
- 13.2.5.2 Products offered
- 13.2.5.3 Recent developments
- 13.2.5.3.1 Product launches and enhancements
- 13.2.5.3.2 Deals
- 13.2.5.4 MnM view
- 13.2.5.4.1 Key strengths/Right to win
- 13.2.5.4.2 Strategic choices
- 13.2.5.4.3 Weaknesses and competitive threats
- 13.2.6 AMD
- 13.2.6.1 Business overview
- 13.2.6.2 Products offered
- 13.2.6.3 Recent developments
- 13.2.6.3.1 Product launches and enhancements
- 13.2.6.3.2 Deals
- 13.2.7 ORACLE
- 13.2.7.1 Business overview
- 13.2.7.2 Products offered
- 13.2.7.3 Recent developments
- 13.2.7.3.1 Product launches and enhancements
- 13.2.7.3.2 Deals
- 13.2.8 INTEL
- 13.2.8.1 Business overview
- 13.2.8.2 Products offered
- 13.2.8.3 Recent developments
- 13.2.8.3.1 Product launches and enhancements
- 13.2.8.3.2 Deals
- 13.2.9 OPENAI
- 13.2.9.1 Business overview
- 13.2.9.2 Solutions offered
- 13.2.9.3 Recent developments
- 13.2.9.3.1 Product launches and enhancements
- 13.2.9.3.2 Deals
- 13.2.10 BAIDU
- 13.2.10.1 Business overview
- 13.2.10.2 Products offered
- 13.2.10.3 Recent developments
- 13.2.10.3.1 Product launches and enhancements
- 13.2.10.3.2 Deals
- 13.2.11 QUALCOMM
- 13.2.11.1 Business overview
- 13.2.11.2 Products offered
- 13.2.11.3 Recent developments
- 13.2.11.3.1 Product launches and enhancements
- 13.2.11.3.2 Deals
- 13.2.12 HPE
- 13.2.12.1 Business overview
- 13.2.12.2 Products offered
- 13.2.12.3 Recent developments
- 13.2.12.3.1 Product launches and enhancements
- 13.2.12.3.2 Deals
- 13.2.13 ALIBABA CLOUD
- 13.2.13.1 Business overview
- 13.2.13.2 Products offered
- 13.2.13.3 Recent developments
- 13.2.13.3.1 Product launches and enhancements
- 13.2.13.3.2 Deals
- 13.2.14 HUAWEI
- 13.2.14.1 Business overview
- 13.2.14.2 Products offered
- 13.2.14.3 Recent developments
- 13.2.14.3.1 Product launches and enhancements
- 13.2.14.3.2 Deals
- 13.2.15 SALESFORCE
- 13.2.15.1 Business overview
- 13.2.15.2 Products offered
- 13.2.15.3 Recent developments
- 13.2.15.3.1 Product launches and enhancements
- 13.2.15.3.2 Deals
- 13.2.16 META
- 13.2.16.1 Business overview
- 13.2.16.2 Products offered
- 13.2.16.3 Recent developments
- 13.2.16.3.1 Product launches and enhancements
- 13.2.16.3.2 Deals
- 13.2.17 SAP
- 13.2.17.1 Business overview
- 13.2.17.2 Products offered
- 13.2.17.3 Recent developments
- 13.2.17.3.1 Product launches and enhancements
- 13.2.17.3.2 Deals
- 13.2.18 CISCO
- 13.2.18.1 Business overview
- 13.2.18.2 Products offered
- 13.2.18.3 Recent developments
- 13.2.18.3.1 Product launches and enhancements
- 13.2.18.3.2 Deals
- 13.2.19 SAS INSTITUTE
- 13.2.19.1 Business overview
- 13.2.19.2 Products offered
- 13.2.19.3 Recent developments
- 13.2.19.3.1 Product launches and enhancements
- 13.2.19.3.2 Deals
- 13.2.20 SIEMENS
- 13.2.20.1 Business overview
- 13.2.20.2 Products offered
- 13.2.20.3 Recent developments
- 13.2.20.3.1 Product launches and enhancements
- 13.2.20.3.2 Deals
- 13.2.21 DATABRICKS
- 13.2.22 IMERIT
- 13.2.23 CENTIFIC
- 13.2.23.1 Business overview
- 13.2.23.2 Solutions offered
- 13.2.23.3 Recent developments
- 13.2.23.3.1 Product launches and enhancements
- 13.2.23.3.2 Deals
- 13.2.24 QUANTIPHI
- 13.2.25 TIGER ANALYTICS
- 13.2.26 TELUS INTERNATIONAL
- 13.2.26.1 Business overview
- 13.2.26.2 Products offered
- 13.2.27 INNODATA
- 13.2.27.1 Business overview
- 13.2.27.2 Products offered
- 13.2.27.3 Recent developments
- 13.2.27.3.1 Product launches & enhancements
- 13.2.28 FRACTAL ANALYTICS
- 13.2.29 SAMA
- 13.2.29.1 Business overview
- 13.2.29.2 Products/Solutions/Services offered
- 13.2.29.3 Recent developments
- 13.2.29.3.1 Product launches & enhancements
- 13.3 STARTUP/SME PROFILES
- 13.3.1 ANTHROPIC
- 13.3.2 SCALE AI
- 13.3.3 C3 AI
- 13.3.3.1 Business overview
- 13.3.3.2 Products/Solutions/Services offered
- 13.3.3.3 Recent developments
- 13.3.3.3.1 Product launches and enhancements
- 13.3.3.3.2 Deals
- 13.3.4 DIALPAD
- 13.3.5 CEREBRAS
- 13.3.6 SHIELD AI
- 13.3.7 APPIER
- 13.3.7.1 Business overview
- 13.3.7.2 Products offered
- 13.3.7.3 Recent developments
- 13.3.7.3.1 Product launches and enhancements
- 13.3.7.3.2 Deals
- 13.3.8 ADA
- 13.3.9 DEEPL
- 13.3.10 JASPER
- 13.3.11 METROPOLIS TECHNOLOGIES
- 13.3.12 ADEPT
- 13.3.13 H2O.AI
- 13.3.14 AI21 LABS
- 13.3.15 SYNTHESIA
- 13.3.16 COHERE
- 13.3.17 PERSADO
- 13.3.18 ANYSCALE
- 13.3.19 APPEN
- 13.3.20 SNORKEL
- 13.3.21 COGITO TECH
- 13.3.21.1 Business overview
- 13.3.21.2 Products offered
- 13.3.22 INBENTA
- 13.3.23 OBSERVE AI
- 13.3.24 CHARACTER.AI
- 13.3.25 SPOT AI
- 13.3.26 ARTHUR AI
- 13.3.27 WRITESONIC
- 13.3.28 INFLECTION AI
- 13.3.29 MOSTLY AI
- 13.3.30 LABELBOX
- 13.3.31 GAMAYA
- 13.3.32 GRAPHCORE
- 13.3.33 HQE SYSTEMS, INC.
- 13.3.33.1 Business overview
- 13.3.33.2 Products offered
- 13.3.34 ONE AI
- 13.3.35 SOUNDFUL
- 13.3.36 ARROW AI
14 ADJACENT AND RELATED MARKETS
- 14.1 INTRODUCTION
- 14.2 CONVERSATIONAL AI MARKET - GLOBAL FORECAST TO 2030
- 14.2.1 MARKET DEFINITION
- 14.2.2 MARKET OVERVIEW
- 14.2.2.1 Conversational AI market, by offering
- 14.2.2.2 Conversational AI market, by service
- 14.2.2.3 Conversational AI market, by business function
- 14.2.2.4 Conversational AI market, by conversational agent type
- 14.2.2.5 Conversational AI market, by integration mode
- 14.2.2.6 Conversational AI market, by vertical
- 14.2.2.7 Conversational AI market, by region
- 14.3 GENERATIVE AI MARKET - GLOBAL FORECAST TO 2030
- 14.3.1 MARKET DEFINITION
- 14.3.2 MARKET OVERVIEW
- 14.3.2.1 Generative AI market, by offering
- 14.3.2.2 Generative AI market, by data modality
- 14.3.2.3 Generative AI market, by application
- 14.3.2.4 Generative AI market, by end user
- 14.3.2.5 Generative AI market, by region
15 APPENDIX
- 15.1 DISCUSSION GUIDE
- 15.2 KNOWLEDGESTORE: MARKETSANDMARKETS' SUBSCRIPTION PORTAL
- 15.3 CUSTOMIZATION OPTIONS
- 15.4 RELATED REPORTS
- 15.5 AUTHOR DETAILS
