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Asia Pacific AI in Oil and Gas Market Size, Share & Industry Trends Analysis Report By Operation (Upstream, Midstream and Downstream), By Component (Solution and Services), By Country and Growth Forecast, 2022 - 2028

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    Report

  • 106 Pages
  • August 2022
  • Region: Asia Pacific
  • Marqual IT Solutions Pvt. Ltd (KBV Research)
  • ID: 5659090
The Asia Pacific AI in Oil and Gas Market is expected to witness market growth of 14.3% CAGR during the forecast period (2022-2028).

Seismic cubes are the name for the 3D graphics. Seismic interpreters, who can also be involved in determining the parameters for the prior reconstruction phase, study the seismic cubes. By choosing the points, lines, and surfaces inside the 3D cube that are "absolutely" related to the boundary between the many strata in the subsurface formation, the translators segment the 3D images.

Since there are no measurable standards for classifying these points, lines, and surfaces, use the adverb "certainly." The entire procedure, from reconstruction to 3D cube segmentation, takes a long time and requires specialized knowledge. Geologists determine where to dig the initial set of exploration wells based on the segmented 3D cubes to further their grasp of the subsurface details, which can take the full survey data processing more than a year for a thorough seismic analysis.

Deep learning-based contemporary pattern recognition approaches have begun to delve into this seismic-related process, speeding up the interpretation by a factor of 10-1000. The likelihood that AI algorithms will optimize the physical aspects of the initial seismic surveying at an asset is minimal. They still contribute to the asset optimization of the secondary surveys.

India, which boasts the second-largest population and the world's fastest-growing economy, is heavily invested in the AI revolution. Honorable Finance Minister instructed NITI Aayog to create the National Program on AI in his budget speech for 2018-2019 in recognition of the potential for AI to transform economies and the need for India to strategically plan its approach. This is done to direct research and development in new and emerging fields.

The China market dominated the Asia Pacific AI in Oil and Gas Market by Country in 2021, and is expected to continue to be a dominant market till 2028; thereby, achieving a market value of $386.7 million by 2028.The Japan market is estimated to grow a CAGR of 13.6% during (2022 - 2028). Additionally, The India market is expected to experience a CAGR of 15% during (2022 - 2028).

Based on Operation, the market is segmented into Upstream, Midstream and Downstream. Based on Component, the market is segmented into Solution and Services. Based on countries, the market is segmented into China, Japan, India, South Korea, Singapore, Malaysia, and Rest of Asia Pacific.

The market research report covers the analysis of key stake holders of the market. Key companies profiled in the report include Microsoft Corporation, Oracle Corporation, Intel Corporation, IBM Corporation, Cisco Systems, Inc., Accenture PLC, NVIDIA Corporation, Cloudera, Inc., C3.ai, Inc. and FuGenX Technologies (USM Business Systems, Inc.).

Scope of the Study

Market Segments Covered in the Report:

By Operation
  • Upstream
  • Midstream
  • Downstream
By Component
  • Solution
  • Services
By Country
  • China
  • Japan
  • India
  • South Korea
  • Singapore
  • Malaysia
  • Rest of Asia Pacific

Key Market Players

List of Companies Profiled in the Report:

  • Microsoft Corporation
  • Oracle Corporation
  • Intel Corporation
  • IBM Corporation
  • Cisco Systems, Inc.
  • Accenture PLC
  • NVIDIA Corporation
  • Cloudera, Inc.
  • C3.ai, Inc.
  • FuGenX Technologies (USM Business Systems, Inc.)

Unique Offerings from the Publisher

  • Exhaustive coverage
  • The highest number of Market tables and figures
  • Subscription-based model available
  • Guaranteed best price
  • Assured post sales research support with 10% customization free

Table of Contents

Chapter 1. Market Scope & Methodology
1.1 Market Definition
1.2 Objectives
1.3 Market Scope
1.4 Segmentation
1.4.1 Asia Pacific AI in Oil and Gas Market, by Operation
1.4.2 Asia Pacific AI in Oil and Gas Market, by Component
1.4.3 Asia Pacific AI in Oil and Gas Market, by Country
1.5 Methodology for the research
Chapter 2. Market Overview
2.1 Introduction
2.1.1 Overview
2.1.1.1 Market composition & scenarios
2.2 Key Factors Impacting the Market
2.2.1 Market Drivers
2.2.2 Market Restraints
Chapter 3. Competition Analysis - Global
3.1 Cardinal Matrix
3.2 Recent Industry Wide Strategic Developments
3.2.1 Partnerships, Collaborations and Agreements
3.2.2 Product Launches and Product Expansions
3.2.3 Acquisition and Mergers
3.3 Market Share Analysis, 2021
3.4 Top Winning Strategies
3.4.1 Key Leading Strategies: Percentage Distribution (2018-2022)
3.4.2 Key Strategic Move: (Partnerships, Collaborations & Agreements: 2018, Jan - 2022, Jun) Leading Players
3.4.3 Key Strategic Move: (Acquisitions and Mergers : 2018, Dec - 2022, Aug) Leading Players
Chapter 4. Asia Pacific AI in Oil and Gas Market by Operation
4.1 Asia Pacific Upstream Market by Country
4.2 Asia Pacific Midstream Market by Country
4.3 Asia Pacific Downstream Market by Country
Chapter 5. Asia Pacific AI in Oil and Gas Market by Component
5.1 Asia Pacific Solution Market by Country
5.2 Asia Pacific Services Market by Country
Chapter 6. Asia Pacific AI in Oil and Gas Market by Country
6.1 China AI in Oil and Gas Market
6.1.1 China AI in Oil and Gas Market by Operation
6.1.2 China AI in Oil and Gas Market by Component
6.2 Japan AI in Oil and Gas Market
6.2.1 Japan AI in Oil and Gas Market by Operation
6.2.2 Japan AI in Oil and Gas Market by Component
6.3 India AI in Oil and Gas Market
6.3.1 India AI in Oil and Gas Market by Operation
6.3.2 India AI in Oil and Gas Market by Component
6.4 South Korea AI in Oil and Gas Market
6.4.1 South Korea AI in Oil and Gas Market by Operation
6.4.2 South Korea AI in Oil and Gas Market by Component
6.5 Singapore AI in Oil and Gas Market
6.5.1 Singapore AI in Oil and Gas Market by Operation
6.5.2 Singapore AI in Oil and Gas Market by Component
6.6 Malaysia AI in Oil and Gas Market
6.6.1 Malaysia AI in Oil and Gas Market by Operation
6.6.2 Malaysia AI in Oil and Gas Market by Component
6.7 Rest of Asia Pacific AI in Oil and Gas Market
6.7.1 Rest of Asia Pacific AI in Oil and Gas Market by Operation
6.7.2 Rest of Asia Pacific AI in Oil and Gas Market by Component
Chapter 7. Company Profiles
7.1 Microsoft Corporation
7.1.1 Company Overview
7.1.2 Financial Analysis
7.1.3 Segmental and Regional Analysis
7.1.4 Research & Development Expenses
7.1.5 Recent strategies and developments:
7.1.5.1 Partnerships, Collaborations, and Agreements:
7.1.5.2 Acquisition and Mergers:
7.1.6 SWOT Analysis
7.2 Oracle Corporation
7.2.1 Company Overview
7.2.2 Financial Analysis
7.2.3 Segmental and Regional Analysis
7.2.4 Research & Development Expense
7.2.5 Recent strategies and developments:
7.2.5.1 Product Launches and Product Expansions:
7.2.6 SWOT Analysis
7.3 Intel Corporation
7.3.1 Company Overview
7.3.2 Financial Analysis
7.3.3 Segmental and Regional Analysis
7.3.4 Research & Development Expenses
7.3.5 Recent strategies and developments:
7.3.5.1 Acquisition and Mergers:
7.3.5.2 Geographical Expansions:
7.3.6 SWOT Analysis
7.4 IBM Corporation
7.4.1 Company Overview
7.4.2 Financial Analysis
7.4.3 Regional & Segmental Analysis
7.4.4 Research & Development Expenses
7.4.5 Recent strategies and developments:
7.4.5.1 Partnerships, Collaborations, and Agreements:
7.4.5.2 Product Launches and Product Expansions:
7.4.5.3 Acquisition and Mergers:
7.4.6 SWOT Analysis
7.5 Cisco Systems, Inc.
7.5.1 Company Overview
7.5.2 Financial Analysis
7.5.3 Regional Analysis
7.5.4 Research & Development Expense
7.5.5 Recent strategies and developments:
7.5.5.1 Acquisition and Mergers:
7.5.6 SWOT Analysis
7.6 Accenture PLC
7.6.1 Company Overview
7.6.2 Financial Analysis
7.6.3 Segmental and Regional Analysis
7.6.4 Research & Development Expenses
7.6.5 Recent strategies and developments:
7.6.5.1 Partnerships, Collaborations, and Agreements:
7.6.5.2 Product Launches and Product Expansions:
7.6.5.3 Acquisition and Mergers:
7.6.6 SWOT Analysis
7.7 NVIDIA Corporation
7.7.1 Company Overview
7.7.2 Financial Analysis
7.7.3 Segmental and Regional Analysis
7.7.4 Research & Development Expense
7.7.5 Recent strategies and developments:
7.7.5.1 Partnerships, Collaborations, and Agreements:
7.7.5.2 Product Launches and Product Expansions:
7.7.6 SWOT Analysis
7.8 Cloudera, Inc.
7.8.1 Company Overview
7.8.2 Financial Analysis
7.8.3 Segmental Analysis
7.8.4 Research & Development Expense
7.8.5 Recent strategies and developments:
7.8.5.1 Partnerships, Collaborations, and Agreements:
7.9 C3.ai, Inc.
7.9.1 Company Overview
7.9.2 Financial Analysis
7.9.3 Regional Analysis
7.9.4 Research & Development Expenses
7.9.5 Recent strategies and developments:
7.9.5.1 Partnerships, Collaborations, and Agreements:
7.9.5.2 Acquisition, Joint Venture and Mergers:
7.10. FuGenX Technologies (USM Business Systems, Inc.)
7.10.1 Company Overview

Companies Mentioned

  • Microsoft Corporation
  • Oracle Corporation
  • Intel Corporation
  • IBM Corporation
  • Cisco Systems, Inc.
  • Accenture PLC
  • NVIDIA Corporation
  • Cloudera, Inc.
  • C3.ai, Inc.
  • FuGenX Technologies (USM Business Systems, Inc.)

Methodology

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