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[ 英語タイトル ] AI in Oil & Gas Market by Type (Hardware, Software, Services), Application (Upstream, Midstream, Downstream), Function (Predictive Maintenance, Production Planning, Field Service, Material Movement, Quality Control), and Region - Global Forecast to 2022


Product Code : MNMEP00109118
Survey : MarketsandMarkets
Publish On : May, 2021
Category : Energy and Power
Study Area : Global
Report format : PDF
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[Report Description]

“AI in Oil & Gas market is projected to grow at a CAGR of 12.66% from 2017 to 2022.”
AI in Oil & Gas market is projected to reach USD 2.85 billion by 2022, growing at a CAGR of 12.66%, from 2017 to 2022. The growth of AI in Oil & Gas market can be attributed to the big data technology in the Oil & Gas industry to augment E&P capabilities, a significant increase in venture capital investments, growing need for automation in the Oil & Gas industry, and tremendous pressure to reduce production costs. Concerns regarding data security and cybersecurity are the major challenges faced by the players in this market.

“The midstream segment is expected to grow at the highest CAGR from 2017 to 2022.”

The midstream segment is expected to grow at the highest CAGR in the global AI in Oil & Gas market during the forecast period. The growth in the shale oil and gas production in the US is creating the need for an expanded midstream network of pipelines, rail, tankers, and terminals. AI is widely used in the midstream sector to gather data during the transportation process through pipelines and provide the same to the human-machine interface in order to control the process. In the Oil & Gas industry these tools have been used to solve problems such as pressure transient analysis, well log interpretation, reservoir characterization, and well selection for stimulation, among others.

“North America: The largest market for artificial intelligence in oil & gas and Middle East & Africa growing at the highest rate”
North America is currently the largest market for AI in Oil & Gas, followed by the markets in Europe and Asia Pacific. Rising investments in the Oil & Gas infrastructure and increased focus toward automation and digitalization are expected to drive AI in the Oil & Gas market during the forecast period.

The Middle East and Africa is the fastest market for AI in Oil & Gas due to the recent discovery of offshore reserves in the Red Sea region. The increase in E&P activities is likely to boost the demand for AI solutions during the forecast period. The increasing investments in start-ups for AI implementation would further raise the demand for AI in the Oil & Gas market in the near future.

Breakdown of Primaries:
In-depth interviews have been conducted with various key industry participants, subject-matter experts, C-level executives of key market players, and industry consultants, among other experts, to obtain and verify critical qualitative and quantitative information, as well as assess future market prospects. The distribution of primary interviews is as follows:

By Company Type: Tier 1- 55%, Tier 2- 25%, Tier 3- 20%
By Designation: C-Level- 35%, Manager Level- 30%, Others- 35%
By Region: Europe- 20%, North America- 15%, Asia Pacific- 25%, South America- 10%, and Middle East & Africa- 25%

Note: The tier of the companies has been defined on the basis of their total revenue; as of 2016: Tier 1 = >USD 1 billion, Tier 2 = From USD 100 million to USD 500 million, and Tier 3 = The key players in AI in Oil & Gas market include IBM (US), Google (US), Microsoft (US), and Intel (US).

Research Coverage:
The report provides a picture of AI in Oil & Gas market and its segments across industries and regions. It aims at estimating the market size and future market growth potential across different segments, by type, function, application, and region. Furthermore, the report includes an in-depth competitive analysis of the key players in the market along with their company profiles, recent developments, and key market strategies.

Why buy this report?
1. The report identifies and addresses the key markets for AI in Oil & Gas, which would help OEMs review the growth in demand for the product.
2. The report helps solution providers understand the pulse of the market and provides insight into drivers, restraints, and challenges.
3. The report will help key players understand the strategies of their competitors better and will help in making strategic decisions.

TABLE OF CONTENTS

1 INTRODUCTION 14
1.1 OBJECTIVES OF THE STUDY 14
1.2 MARKET DEFINITION 14
1.3 MARKET SCOPE 15
1.3.1 MARKETS COVERED 15
1.3.2 GEOGRAPHICAL SCOPE 15
1.3.3 YEARS CONSIDERED FOR THE STUDY 16
1.4 CURRENCY 16
1.5 LIMITATIONS 16
1.6 STAKEHOLDERS 17
2 RESEARCH METHODOLOGY 18
2.1 RESEARCH DATA 19
2.1.1 SECONDARY DATA 19
2.1.2 PRIMARY DATA 20
2.1.2.1 Key data from primary sources 20
2.1.2.2 Key industry insights 21
2.1.2.3 Breakdown of primaries 21
2.2 MARKET SIZE ESTIMATION 22
2.3 MARKET BREAKDOWN & DATA TRIANGULATION 24
2.4 RESEARCH ASSUMPTIONS 25
3 EXECUTIVE SUMMARY 26
4 PREMIUM INSIGHTS 31
4.1 ATTRACTIVE OPPORTUNITIES IN THE AI IN OIL & GAS MARKET 31
4.2 AI IN OIL & GAS MARKET, BY COUNTRY 31
4.3 AI IN OIL & GAS MARKET, BY TYPE 32
4.4 AI IN OIL & GAS MARKET, BY FUNCTION 32
5 MARKET OVERVIEW 33
5.1 INTRODUCTION 33
5.1.1 DRIVERS 34
5.1.1.1 Big data technology in the Oil & Gas industry to augment E&P capabilities 34
5.1.1.2 Significant increase in venture capital investments 34
5.1.1.3 Growing need for automation is driving AI in Oil & Gas industry 35
5.1.1.4 Tremendous pressure to reduce production costs 35
5.1.2 RESTRAINTS 36
5.1.2.1 Lack of stringent regulatory guidelines for AI in Oil & Gas industry 36
5.1.2.2 High AI installation costs 37
5.1.3 OPPORTUNITIES 37
5.1.3.1 Improving operational efficiency in the Oil & Gas industry 37
5.1.3.2 Predictive maintenance to avoid costly downtime 37
5.1.4 CHALLENGES 38
5.1.4.1 Concerns regarding data privacy & increased cyber security risks 38
6 AI IN OIL & GAS MARKET, BY TYPE 39
6.1 INTRODUCTION 40
6.2 HARDWARE 41
6.3 SOFTWARE 42
6.4 SERVICES 43
7 AI IN OIL & GAS MARKET, BY FUNCTION 45
7.1 INTRODUCTION 46
7.2 PREDICTIVE MAINTENANCE & MACHINE INSPECTION 47
7.3 MATERIAL MOVEMENT 48
7.4 PRODUCTION PLANNING 48
7.5 FIELD SERVICES 49
7.6 QUALITY CONTROL 50
7.7 RECLAMATION 51
8 AI IN OIL & GAS MARKET, BY APPLICATION 52
8.1 INTRODUCTION 53
8.2 UPSTREAM 54
8.3 MIDSTREAM 55
8.4 DOWNSTREAM 56
9 AI IN OIL & GAS MARKET, BY REGION 57
9.1 INTRODUCTION 58
9.2 NORTH AMERICA 61
9.2.1 BY TYPE 63
9.2.2 BY FUNCTION 64
9.2.3 BY APPLICATION 64
9.2.4 BY COUNTRY 65
9.2.4.1 US 65
9.2.4.2 Canada 66
9.2.4.3 Mexico 67

9.3 EUROPE 68
9.3.1 BY TYPE 69
9.3.2 BY FUNCTION 70
9.3.3 BY APPLICATION 70
9.3.4 BY COUNTRY 71
9.3.4.1 Norway 71
9.3.4.2 UK 71
9.3.4.3 Russia 72
9.3.4.4 Rest of Europe 73
9.4 ASIA PACIFIC 74
9.4.1 BY TYPE 76
9.4.2 BY FUNCTION 77
9.4.3 BY APPLICATION 77
9.4.4 BY COUNTRY 78
9.4.4.1 China 78
9.4.4.2 India 79
9.4.4.3 Australia 80
9.4.4.4 Malaysia 80
9.4.4.5 Rest of Asia Pacific 81
9.5 SOUTH AMERICA 82
9.5.1 BY TYPE 83
9.5.2 BY FUNCTION 83
9.5.3 BY APPLICATION 84
9.5.4 BY COUNTRY 84
9.5.4.1 Brazil 84
9.5.4.2 Argentina 85
9.5.4.3 Venezuela 86
9.5.4.4 Rest of South America 87
9.6 MIDDLE EAST & AFRICA 87
9.6.1 BY TYPE 89
9.6.2 BY FUNCTION 89
9.6.3 BY APPLICATION 90
9.6.4 BY COUNTRY 90
9.6.4.1 Saudi Arabia 90
9.6.4.2 UAE 91
9.6.4.3 Nigeria 92
9.6.4.4 Qatar 92
9.6.4.5 Rest of the Middle & Africa 93

10 COMPETITIVE LANDSCAPE 94
10.1 INTRODUCTION 94
10.2 MARKET RANKING ANALYSIS 95
10.3 COMPETITIVE SCENARIO 95
10.3.1 PARTNERSHIPS AND COLLABORATIONS 96
10.3.2 NEW PRODUCT LAUNCHES 96
10.3.3 INVESTMENTS AND EXPANSIONS 97
10.3.4 CONTRACTS & AGREEMENTS 97
10.3.5 OTHERS 97
11 COMPANY PROFILES 98
(Business Overview, Products & Services, Key Insights, Recent Developments, SWOT Analysis, MnM View)*
11.1 IBM 98
11.2 ACCENTURE 101
11.3 GOOGLE 104
11.4 MICROSOFT 107
11.5 ORACLE 110
11.6 INTEL 113
11.7 NUMENTA 115
11.8 SENTIENT TECHNOLOGIES 117
11.9 INBENTA 119
11.10 GENERAL VISION 120
11.11 CISCO 122
11.12 FUGENX TECHNOLOGIES 124
11.13 INFOSYS 125
11.14 HORTONWORKS 127
11.15 SHELL 129
*Details on Business Overview, Products & Services, Key Insights, Recent Developments, SWOT Analysis, MnM View might not be captured in case of unlisted companies.
12 APPENDIX 131
12.1 INSIGHTS OF INDUSTRY EXPERTS 131
12.2 DISCUSSION GUIDE 132
12.3 KNOWLEDGE STORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL 136
12.4 INTRODUCING RT: REAL-TIME MARKET INTELLIGENCE 138
12.5 AVAILABLE CUSTOMIZATIONS 139
12.6 RELATED REPORTS 139
12.7 AUTHOR DETAILS 140

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