시장보고서
상품코드
1915598

석유 및 가스용 인공지능(AI) 및 기계학습(ML) 시장의 동향2025-2029년

Global AI And Ml In Oil And Gas Market 2025-2029

발행일: | 리서치사: TechNavio | 페이지 정보: 영문 281 Pages | 배송안내 : 즉시배송

    
    
    




※ 본 상품은 영문 자료로 한글과 영문 목차에 불일치하는 내용이 있을 경우 영문을 우선합니다. 정확한 검토를 위해 영문 목차를 참고해주시기 바랍니다.

세계의 석유 및 가스용 인공지능(AI) 및 기계학습(ML) 시장은 2024-2029년에 59억 1,260만 달러의 성장이 전망되며, 예측 기간 중 CAGR은 15.1%로 예측되고 있습니다. 본 보고서에서는 세계의 석유 및 가스 산업에서 AI 및 ML 시장에 대해 종합적 분석, 시장 규모와 예측, 동향, 성장요인, 과제과 함께 약 25사의 벤더 분석을 제공하고 있습니다.

이 보고서는 현재 시장 상황, 최신 시장 동향 및 촉진요인, 시장 환경 전반에 대한 최신 분석을 제공합니다. 시장 성장은 업무 효율성 향상과 비용 절감의 필요성, 환경, 사회, 지배구조(ESG) 컴플라이언스 및 안전에 대한 관심 증가, 빅데이터의 확산, 클라우드 컴퓨팅 인프라의 발전 등에 의해 주도되고 있습니다.

이번 조사는 업계 주요 관계자의 정보를 포함한 1차 정보와 2차 정보를 객관적으로 조합하여 실시되었습니다. 이 보고서에는 주요 기업 분석과 함께 종합적인 시장 규모 데이터, 지역별 분석과 함께 부문 및 공급업체 현황이 포함되어 있습니다. 보고서에는 과거 데이터와 예측 데이터가 수록되어 있습니다.

시장 범위
기준연도 2025년
대상 기간 2029년
예측 기간 2025-2029
성장 모멘텀 가속
전년대비 12.5%
CAGR 15.1%
증가액 59억 1,260만 달러

이 보고서는 지식 관리 분야에서 생성형 AI와 거대 언어 모델이 부상하고 있는 것이 향후 수년간 세계 석유 및 가스 산업을 위한 AI 및 머신러닝 시장의 성장을 주도할 주요 요인 중 하나로 꼽았습니다. 또한 하이퍼자동화의 발전, 완전 자율주행으로의 전환, 원격 환경에서 실시간 의사결정을 위한 엣지 AI의 보급이 시장에서 상당한 수요를 창출할 것으로 예측됩니다.

목차

제1장 개요

제2장 Technavio 분석

  • 가격·수명주기·고객 구입 바스켓·채택률·구입 기준의 분석
  • 인풋의 중요성과 차별화의 요인
  • 혼란의 요인
  • 촉진요인과 과제의 영향

제3장 시장 구도

  • 시장 에코시스템
  • 시장의 특징
  • 밸류체인 분석

제4장 시장 규모

  • 시장 정의
  • 시장 부문 분석
  • 시장 규모 2024
  • 시장 전망 2024-2029

제5장 시장 규모 실적

  • 세계의 석유 및 가스 시장 2019-2023
  • 부품 부문 분석 2019-2023
  • 용도별 부문 분석 2019-2023
  • 최종사용자 부문 분석 2019-2023
  • 지역별 부문 분석 2019-2023
  • 국가별 부문 분석 2019-2023

제6장 Five Forces 분석

  • Five Forces 요약
  • 바이어의 교섭력
  • 공급 기업의 교섭력
  • 신규 진출업체의 위협
  • 대체품의 위협
  • 경쟁의 위협
  • 시장 현황

제7장 시장 세분화 : 컴포넌트별

  • 비교 : 컴포넌트별
  • 솔루션
  • 서비스
  • 시장 기회 : 컴포넌트별

제8장 시장 세분화 : 용도별

  • 비교 : 용도별
  • 예지보전
  • 생산 최적화
  • 공급망과 물류
  • 탐사·굴착
  • 기타
  • 시장 기회 : 용도별

제9장 시장 세분화 : 최종사용자별

  • 비교 : 최종사용자별
  • 다운스트림
  • 업스트림
  • 미드스트림
  • 시장 기회 : 최종사용자별

제10장 고객 상황

제11장 지역별 상황

  • 지역별 세분화
  • 지역별 비교
  • 북미
    • 미국
    • 캐나다
  • 유럽
    • 러시아
    • 독일
    • 영국
    • 프랑스
  • 아시아태평양
    • 중국
    • 인도
    • 일본
    • 한국
    • 호주
  • 중동 및 아프리카
    • 사우디아라비아
    • 아랍에미리트
  • 남미
    • 브라질
    • 아르헨티나
  • 시장 기회 : 지역별

제12장 촉진요인·과제·기회

  • 시장 성장 촉진요인
  • 시장이 해결해야 할 과제
  • 촉진요인과 과제의 영향
  • 시장 기회

제13장 경쟁 구도

  • 개요
  • 경쟁 구도
  • 혼란 상황
  • 업계의 리스크

제14장 경쟁 분석

  • 기업 개요
  • 기업 순위 지표
  • 기업의 시장 포지셔닝
  • ABB Ltd.
  • Accenture PLC
  • Baker Hughes Co.
  • BP Plc
  • C3.ai Inc.
  • Exxon Mobil Corp.
  • Google LLC
  • Halliburton Co.
  • IBM Corp.
  • Microsoft Corp.
  • Oracle Corp.
  • Saudi Arabian Oil Co.
  • Schlumberger Ltd.
  • Shell plc
  • Siemens AG

제15장 부록

KSA 26.02.02

The global AI and ML in oil and gas market is forecasted to grow by USD 5912.6 mn during 2024-2029, accelerating at a CAGR of 15.1% during the forecast period. The report on the global AI and ML in oil and gas market provides a holistic analysis, market size and forecast, trends, growth drivers, and challenges, as well as vendor analysis covering around 25 vendors.

The report offers an up-to-date analysis regarding the current market scenario, the latest trends and drivers, and the overall market environment. The market is driven by imperative for enhanced operational efficiency and cost reduction, escalating focus on environmental, social, and governance (esg) compliance and safety, proliferation of big data and advancement of cloud computing infrastructure.

The study was conducted using an objective combination of primary and secondary information including inputs from key participants in the industry. The report contains a comprehensive market size data, segment with regional analysis and vendor landscape in addition to an analysis of the key companies. Reports have historic and forecast data.

Market Scope
Base Year2025
End Year2029
Series Year2025-2029
Growth MomentumAccelerate
YOY 202512.5%
CAGR15.1%
Incremental Value$5912.6 mn

Technavio's global AI and ML in oil and gas market is segmented as below:

By Component

  • Solutions
  • Services

By Application

  • Predictive maintenance
  • Production optimization
  • Supply chain and logistics
  • Exploration and drilling
  • Others

By End-User

  • Downstream
  • Upstream
  • Midstream

Geography

  • North America
    • US
    • Canada
  • Europe
    • Russia
    • Germany
    • UK
    • France
  • APAC
    • China
    • India
    • Japan
    • South Korea
    • Australia
  • Middle East and Africa
    • UAE
  • South America
    • Brazil
    • Argentina
  • Rest of World (ROW)

This study identifies the emergence of generative AI and large language models for knowledge management as one of the prime reasons driving the global AI and ML in oil and gas market growth during the next few years. Also, hyper-automation and progression towards fully autonomous operations and proliferation of edge AI for real-time decision making in remote environments will lead to sizable demand in the market.

The report on the global AI and ML in oil and gas market covers the following areas:

  • Global AI and ML in oil and gas market sizing
  • Global AI and ML in oil and gas market forecast
  • Global AI and ML in oil and gas market industry analysis

The robust vendor analysis is designed to help clients improve their market position, and in line with this, this report provides a detailed analysis of several leading global AI and ML in oil and gas market vendors that include ABB Ltd., Accenture PLC, Baker Hughes Co., Beyond Limits, BP Plc, C3.ai Inc., Exxon Mobil Corp., Google LLC, Halliburton Co., IBM Corp., Microsoft Corp., Oracle Corp., Saudi Arabian Oil Co., Schlumberger Ltd., SensorUp Inc., Shell plc, Siemens AG, SparkCognition Inc., TechnipFMC plc. Also, the global AI and ML in oil and gas market analysis report includes information on upcoming trends and challenges that will influence market growth. This is to help companies strategize and leverage all forthcoming growth opportunities.

The publisher presents a detailed picture of the market by the way of study, synthesis, and summation of data from multiple sources by an analysis of key parameters such as profit, pricing, competition, and promotions. It presents various market facets by identifying the key industry influencers. The data presented is comprehensive, reliable, and a result of extensive primary and secondary research. The market research reports provide a complete competitive landscape and an in-depth vendor selection methodology and analysis using qualitative and quantitative research to forecast accurate market growth.

Table of Contents

1 Executive Summary

  • 1.1 Market overview
    • Executive Summary - Chart on Market Overview
    • Executive Summary - Data Table on Market Overview
    • Executive Summary - Chart on Global Market Characteristics
    • Executive Summary - Chart on Market by Geography
    • Executive Summary - Chart on Market Segmentation by Component
    • Executive Summary - Chart on Market Segmentation by Application
    • Executive Summary - Chart on Market Segmentation by End-user
    • Executive Summary - Chart on Incremental Growth
    • Executive Summary - Data Table on Incremental Growth
    • Executive Summary - Chart on Company Market Positioning

2 Technavio Analysis

  • 2.1 Analysis of price sensitivity, lifecycle, customer purchase basket, adoption rates, and purchase criteria
    • Analysis of price sensitivity, lifecycle, customer purchase basket, adoption rates, and purchase criteria
  • 2.2 Criticality of inputs and Factors of differentiation
  • 2.3 Factors of disruption
  • 2.4 Impact of drivers and challenges

3 Market Landscape

  • 3.1 Market ecosystem
  • 3.2 Market characteristics
  • 3.3 Value chain analysis

4 Market Sizing

  • 4.1 Market definition
  • 4.2 Market segment analysis
    • Market segments
  • 4.3 Market size 2024
  • 4.4 Market outlook: Forecast for 2024-2029

5 Historic Market Size

  • 5.1 Global AI And ML In Oil And Gas Market 2019 - 2023
    • Historic Market Size - Data Table on Global AI And ML In Oil And Gas Market 2019 - 2023 ($ million)
  • 5.2 Component segment analysis 2019 - 2023
    • Historic Market Size - Component Segment 2019 - 2023 ($ million)
  • 5.3 Application segment analysis 2019 - 2023
    • Historic Market Size - Application Segment 2019 - 2023 ($ million)
  • 5.4 End-user segment analysis 2019 - 2023
    • Historic Market Size - End-user Segment 2019 - 2023 ($ million)
  • 5.5 Geography segment analysis 2019 - 2023
    • Historic Market Size - Geography Segment 2019 - 2023 ($ million)
  • 5.6 Country segment analysis 2019 - 2023
    • Historic Market Size - Country Segment 2019 - 2023 ($ million)

6 Five Forces Analysis

  • 6.1 Five forces summary
    • Five forces analysis - Comparison between 2024 and 2029
  • 6.2 Bargaining power of buyers
    • Bargaining power of buyers - Impact of key factors 2024 and 2029
  • 6.3 Bargaining power of suppliers
    • Bargaining power of suppliers - Impact of key factors in 2024 and 2029
  • 6.4 Threat of new entrants
    • Threat of new entrants - Impact of key factors in 2024 and 2029
  • 6.5 Threat of substitutes
    • Threat of substitutes - Impact of key factors in 2024 and 2029
  • 6.6 Threat of rivalry
    • Threat of rivalry - Impact of key factors in 2024 and 2029
  • 6.7 Market condition

7 Market Segmentation by Component

  • 7.1 Market segments
  • 7.2 Comparison by Component
  • 7.3 Solutions - Market size and forecast 2024-2029
  • 7.4 Services - Market size and forecast 2024-2029
  • 7.5 Market opportunity by Component
    • Market opportunity by Component ($ million)

8 Market Segmentation by Application

  • 8.1 Market segments
  • 8.2 Comparison by Application
  • 8.3 Predictive maintenance - Market size and forecast 2024-2029
  • 8.4 Production optimization - Market size and forecast 2024-2029
  • 8.5 Supply chain and logistics - Market size and forecast 2024-2029
  • 8.6 Exploration and drilling - Market size and forecast 2024-2029
  • 8.7 Others - Market size and forecast 2024-2029
  • 8.8 Market opportunity by Application
    • Market opportunity by Application ($ million)

9 Market Segmentation by End-user

  • 9.1 Market segments
  • 9.2 Comparison by End-user
  • 9.3 Downstream - Market size and forecast 2024-2029
  • 9.4 Upstream - Market size and forecast 2024-2029
  • 9.5 Midstream - Market size and forecast 2024-2029
  • 9.6 Market opportunity by End-user
    • Market opportunity by End-user ($ million)

10 Customer Landscape

  • 10.1 Customer landscape overview
    • Analysis of price sensitivity, lifecycle, customer purchase basket, adoption rates, and purchase criteria

11 Geographic Landscape

  • 11.1 Geographic segmentation
  • 11.2 Geographic comparison
  • 11.3 North America - Market size and forecast 2024-2029
    • 11.3.1 US - Market size and forecast 2024-2029
    • 11.3.2 Canada - Market size and forecast 2024-2029
  • 11.4 Europe - Market size and forecast 2024-2029
    • 11.4.1 Russia - Market size and forecast 2024-2029
    • 11.4.2 Germany - Market size and forecast 2024-2029
    • 11.4.3 UK - Market size and forecast 2024-2029
    • 11.4.4 France - Market size and forecast 2024-2029
  • 11.5 APAC - Market size and forecast 2024-2029
    • 11.5.1 China - Market size and forecast 2024-2029
    • 11.5.2 India - Market size and forecast 2024-2029
    • 11.5.3 Japan - Market size and forecast 2024-2029
    • 11.5.4 South Korea - Market size and forecast 2024-2029
    • 11.5.5 Australia - Market size and forecast 2024-2029
  • 11.6 Middle East and Africa - Market size and forecast 2024-2029
    • 11.6.1 Saudi Arabia - Market size and forecast 2024-2029
    • 11.6.2 UAE - Market size and forecast 2024-2029
  • 11.7 South America - Market size and forecast 2024-2029
    • 11.7.1 Brazil - Market size and forecast 2024-2029
    • 11.7.2 Argentina - Market size and forecast 2024-2029
  • 11.8 Market opportunity by geography
    • Market opportunity by geography ($ million)
    • Data Tables on Market opportunity by geography ($ million)

12 Drivers, Challenges, and Opportunity

  • 12.1 Market drivers
    • Imperative for enhanced operational efficiency and cost reduction
    • Escalating focus on environmental, social, and governance (ESG) compliance and safety
    • Proliferation of big data and advancement of cloud computing infrastructure
  • 12.2 Market challenges
    • Pervasive data management and integration issues
    • Significant upfront investment and ambiguous return on investment
    • Critical talent shortage and organizational change management
  • 12.3 Impact of drivers and challenges
    • Impact of drivers and challenges in 2024 and 2029
  • 12.4 Market opportunities
    • Emergence of generative AI and large language models for knowledge management
    • Hyper-automation and progression towards fully autonomous operations
    • Proliferation of edge AI for real-time decision making in remote environments

13 Competitive Landscape

  • 13.1 Overview
  • 13.2 Competitive Landscape
    • Overview on criticality of inputs and factors of differentiation
  • 13.3 Landscape disruption
    • Overview on factors of disruption
  • 13.4 Industry risks
    • Impact of key risks on business

14 Competitive Analysis

  • 14.1 Companies profiled
    • Companies covered
  • 14.2 Company ranking index
    • Company ranking index
  • 14.3 Market positioning of companies
    • Matrix on companies position and classification
  • 14.4 ABB Ltd.
    • ABB Ltd. - Overview
    • ABB Ltd. - Business segments
    • ABB Ltd. - Key news
    • ABB Ltd. - Key offerings
    • ABB Ltd. - Segment focus
    • SWOT
  • 14.5 Accenture PLC
    • Accenture PLC - Overview
    • Accenture PLC - Business segments
    • Accenture PLC - Key news
    • Accenture PLC - Key offerings
    • Accenture PLC - Segment focus
    • SWOT
  • 14.6 Baker Hughes Co.
    • Baker Hughes Co. - Overview
    • Baker Hughes Co. - Business segments
    • Baker Hughes Co. - Key news
    • Baker Hughes Co. - Key offerings
    • Baker Hughes Co. - Segment focus
    • SWOT
  • 14.7 BP Plc
    • BP Plc - Overview
    • BP Plc - Business segments
    • BP Plc - Key news
    • BP Plc - Key offerings
    • BP Plc - Segment focus
    • SWOT
  • 14.8 C3.ai Inc.
    • C3.ai Inc. - Overview
    • C3.ai Inc. - Product / Service
    • C3.ai Inc. - Key news
    • C3.ai Inc. - Key offerings
    • SWOT
  • 14.9 Exxon Mobil Corp.
    • Exxon Mobil Corp. - Overview
    • Exxon Mobil Corp. - Business segments
    • Exxon Mobil Corp. - Key news
    • Exxon Mobil Corp. - Key offerings
    • Exxon Mobil Corp. - Segment focus
    • SWOT
  • 14.10 Google LLC
    • Google LLC - Overview
    • Google LLC - Product / Service
    • Google LLC - Key offerings
    • SWOT
  • 14.11 Halliburton Co.
    • Halliburton Co. - Overview
    • Halliburton Co. - Business segments
    • Halliburton Co. - Key news
    • Halliburton Co. - Key offerings
    • Halliburton Co. - Segment focus
    • SWOT
  • 14.12 IBM Corp.
    • IBM Corp. - Overview
    • IBM Corp. - Business segments
    • IBM Corp. - Key news
    • IBM Corp. - Key offerings
    • IBM Corp. - Segment focus
    • SWOT
  • 14.13 Microsoft Corp.
    • Microsoft Corp. - Overview
    • Microsoft Corp. - Business segments
    • Microsoft Corp. - Key news
    • Microsoft Corp. - Key offerings
    • Microsoft Corp. - Segment focus
    • SWOT
  • 14.14 Oracle Corp.
    • Oracle Corp. - Overview
    • Oracle Corp. - Business segments
    • Oracle Corp. - Key news
    • Oracle Corp. - Key offerings
    • Oracle Corp. - Segment focus
    • SWOT
  • 14.15 Saudi Arabian Oil Co.
    • Saudi Arabian Oil Co. - Overview
    • Saudi Arabian Oil Co. - Product / Service
    • Saudi Arabian Oil Co. - Key offerings
    • SWOT
  • 14.16 Schlumberger Ltd.
    • Schlumberger Ltd. - Overview
    • Schlumberger Ltd. - Business segments
    • Schlumberger Ltd. - Key news
    • Schlumberger Ltd. - Key offerings
    • Schlumberger Ltd. - Segment focus
    • SWOT
  • 14.17 Shell plc
    • Shell plc - Overview
    • Shell plc - Business segments
    • Shell plc - Key news
    • Shell plc - Key offerings
    • Shell plc - Segment focus
    • SWOT
  • 14.18 Siemens AG
    • Siemens AG - Overview
    • Siemens AG - Business segments
    • Siemens AG - Key news
    • Siemens AG - Key offerings
    • Siemens AG - Segment focus
    • SWOT

15 Appendix

  • 15.1 Scope of the report
    • Market definition
    • Objectives
    • Notes and caveats
  • 15.2 Inclusions and exclusions checklist
    • Inclusions checklist
    • Exclusions checklist
  • 15.3 Currency conversion rates for US$
    • Currency conversion rates for US$
  • 15.4 Research methodology
    • Research methodology
  • 15.5 Data procurement
    • Information sources
  • 15.6 Data validation
    • Data validation
  • 15.7 Validation techniques employed for market sizing
    • Validation techniques employed for market sizing
  • 15.8 Data synthesis
    • Data synthesis
  • 15.9 360 degree market analysis
    • 360 degree market analysis
  • 15.10 List of abbreviations
    • List of abbreviations
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