世界の産業用人工知能(AI)市場2022年ー2031年:コンポーネント別(ハードウェア、ソフト、サービス)、技術別

◆英語タイトル:Industrial Artificial Intelligence [AI] Market (Component: Hardware, Software, and Services; and Technology: Machine Learning, Natural Language Processing, Image Processing, and Others) - Global Industry Analysis, Size, Share, Growth, Trends, and Forecast, 2022-2031

Transparency Market Researchが発行した調査報告書(TMR23JA015)◆商品コード:TMR23JA015
◆発行会社(リサーチ会社):Transparency Market Research
◆発行日:2022年11月25日
◆ページ数:250
◆レポート形式:英語 / PDF
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❖ レポートの概要 ❖

Transparency Market Research社は、世界の産業用人工知能(AI)市場について調査し、序論、仮定・調査手法、市場概要、エグゼクティブサマリー、市場概要、市場分析・予測、コンポーネント別(ハードウェア、ソフト、サービス)分析、技術別(機械学習、自然言語処理、画像処理、その他)分析、エンドユーザー別(金融、IT&通信、製造業、小売&Eコマース、その他)分析、地域別(北米、ヨーロッパ、アジア太平洋、中東/アフリカ、南米)分析、競争状況、主要ポイントなどの内容を掲載しています。なお、当書に掲載されている企業情報には、Amazon Web Services, Inc.、Dell Inc.、GENERAL ELECTRIC、Google, LLC、Hewlett Packard Enterprise Development LP、IBM Corporation、Intel Corporation、Microsoft Corporation、Oracle Corporation、Rockwell Automation, Inc.などが含まれています。
・序論
・仮定・調査手法
・エグゼクティブサマリー
・市場概要
・市場分析・予測

・世界の産業用人工知能(AI)市場規模:コンポーネント別
- ハードウェアの市場規模
- ソフトの市場規模
- サービスの市場規模

・世界の産業用人工知能(AI)市場規模:技術別
- 機械学習技術の市場規模
- 自然言語処理技術の市場規模
- 画像処理技術の市場規模
- その他技術の市場規模

・世界の産業用人工知能(AI)市場規模:エンドユーザー別
- 金融における市場規模
- IT&通信における市場規模
- 製造業における市場規模
- 小売&Eコマースにおける市場規模
- その他エンドユーザーにおける市場規模

・世界の産業用人工知能(AI)市場規模:地域別
- 北米の産業用人工知能(AI)市場規模
- ヨーロッパの産業用人工知能(AI)市場規模
- アジア太平洋の産業用人工知能(AI)市場規模
- 中東/アフリカの産業用人工知能(AI)市場規模
- 南米の産業用人工知能(AI)市場規模

・競争状況
・企業情報
・主要ポイント

Industrial Artificial Intelligence [AI] Market – Scope of Report
TMR’s report on the global industrial artificial intelligence [AI] market studies the past as well as the current growth trends and opportunities to gain valuable insights of the indicators of the market during the forecast period from 2022 to 2031. The report provides revenue of the global industrial artificial intelligence [AI] market for the period 2017–2031, considering 2021 as the base year and 2031 as the forecast year. The report also provides the compound annual growth rate (CAGR %) of the global industrial artificial intelligence [AI] market from 2022 to 2031.

The report has been prepared after an extensive research. Primary research involved bulk of the research efforts, wherein analysts carried out interviews with key opinion leaders, industry leaders, and opinion makers. Secondary research involved referring to key players’ product literature, annual reports, press releases, and relevant documents to understand the industrial artificial intelligence [AI] market.

Secondary research also included Internet sources, statistical data from government agencies, websites, and trade associations. Analysts employed a combination of top-down and bottom-up approaches to study various attributes of the global industrial artificial intelligence [AI] market.

The report includes an elaborate executive summary, along with a snapshot of the growth behavior of various segments included in the scope of the study. Moreover, the report sheds light on the changing competitive dynamics in the global industrial artificial intelligence [AI] market. These serve as valuable tools for existing market players as well as for entities interested in participating in the global industrial artificial intelligence [AI] market.

The report delves into the competitive landscape of the global industrial artificial intelligence [AI] market. Key players operating in the global industrial artificial intelligence [AI] market have been identified and each one of these has been profiled, in terms of various attributes. Company overview, financial standings, recent developments, and SWOT are attributes of players in the global industrial artificial intelligence [AI] market profiled in this report.

RESEARCH METHODOLOGY

The research methodology will be a combination of exhaustive primary and secondary research to analyze the market industrial artificial intelligence [AI].

Secondary Research

Secondary research includes a search of company literature, technical writing, patent data, Internet sources, and statistical data from government websites, trade associations, and agencies. This has proven to be the most reliable, effective, and successful approach for obtaining precise data, capturing industry participants’ insights, and recognizing business opportunities.

Secondary research sources that we typically refer, but are not limited to:

Company websites, presentations, annual reports, white papers, technical paper, product brochure
Internal and external proprietary databases and relevant patents
National government documents, statistical databases, and market reports
News articles, press releases, and webcasts specific to companies operating in the market

Specific Secondary Sources:

Industry Sources:
WorldWideScience.org
Elsevier, Inc.
National Institutes of Health (NIH)
PubMed
NCBI
Department of Health Care Service
Trade Data Sources
Trade Map
UN Comtrade
Trade Atlas
Company Information
OneSource Business Browser
Hoover’s
Factiva
Bloomberg
Mergers & Acquisitions
Thomson Mergers & Acquisitions
MergerStat
Profound

Primary Research

During the course of research, we conduct in-depth interviews and discussions with a wide range of key industry participants and opinion leaders. Primary research represents bulk of research efforts, supplemented by extensive secondary research.

We conduct primary interviews on the ongoing basis with industry participants and commentators to validate data and analysis. A typical research interview fulfills the following functions:

Provides first-hand information on market size, market trends, growth trends, competitive landscape, outlook, etc.
Helps in validating and strengthening secondary research findings
Further develops the analysis team’s expertise and market understanding
Primary research involves e-mail interactions, telephonic interviews, as well as face-to-face interviews for each market, category, segment, and sub-segment across geographies

Participants who typically take part in such a process include, but are not limited to:

Industry participants: Marketing/product managers, market intelligence managers, and regional sales managers
Purchasing/Sourcing managers, technical personnel, distributors
Outside experts: Investment bankers, valuation experts, and research analysts specializing in specific markets
Key opinion leaders specializing in different areas corresponding to different industry verticals

List of primary participants, but not limited to:

Advanced Oncotherapy PLC
Danfysik A/S
Hitachi, Ltd.
IBA Worldwide
Mevion Medical Systems, Inc.

Data Triangulation: Information culled from “Secondary & Primary Sources” is cross-checked with “TMR Knowledge Repository”, which is updated every quarter.

Market Estimation: Market size estimations involved in-depth study of product features, technology updates, geographic presence, product demand, sales data (value or volume), historical year-on-year growth, and others. Other approaches were also utilized to derive market size and forecasts. Where no hard data was available, we employed modeling techniques in order to produce comprehensive datasets. A rigorous methodology has been adopted, wherein the available hard data are cross-referenced with the following data types to produce estimates:

Demographic Data: Healthcare expenditure, inflation rates, and others
Industry Indicators: R&D investment, technology stage, and infrastructure, sector growth, and facilities

Market Forecasting: Market forecasts for various segments are derived taking into account drivers, restraints/challenges, and opportunities prevailing in the market and considering advantages/disadvantages of segments/sub-segments over other segments/sub-segments. Business environment, historical sales pattern, unmet needs, competitive intensity, and country-wise surgery data are some of the other pivotal factors, which are considered to derive market forecasts.

❖ レポートの目次 ❖

1. Preface
1.1. Market Introduction
1.2. Market Segmentation
1.3. Key Research Objectives
2. Assumptions and Research Methodology
2.1. Research Methodology
2.1.1. List of Primary and Secondary Sources
2.2. Key Assumptions for Data Modelling
3. Executive Summary: Global Industrial Artificial Intelligence (AI) Market
4. Market Overview
4.1. Market Definition
4.2. Technology/ Product Roadmap
4.3. Market Factor Analysis
4.3.1. Forecast Factors
4.3.2. Ecosystem/ Value Chain Analysis
4.3.3. Market Dynamics (Growth Influencers)
4.3.3.1. Drivers
4.3.3.2. Restraints
4.3.3.3. Opportunities
4.3.3.4. Impact Analysis of Drivers and Restraints
4.4. COVID-19 Impact Analysis
4.4.1. Impact of COVID-19 on Industrial Artificial Intelligence (AI) Market
4.4.2. End-user Sentiment Analysis: Comparative Analysis on Spending
4.4.2.1. Increase in Spending
4.4.2.2. Decrease in Spending
4.4.3. Short Term and Long Term Impact on the Market
4.5. Market Opportunity Assessment – by Region (North America/ Europe/ Asia Pacific/ Middle East & Africa/ South America)
4.5.1. By Component
4.5.2. By Technology
4.5.3. By End-user
5. Global Industrial Artificial Intelligence (AI) Market Analysis and Forecast
5.1. Market Revenue Analysis (US$ Bn), 2016-2031
5.1.1. Historic Growth Trends, 2016-2021
5.1.2. Forecast Trends, 2022-2031
6. Global Industrial Artificial Intelligence (AI) Market Analysis, by Component
6.1. Overview and Definitions
6.2. Key Segment Analysis
6.3. Industrial Artificial Intelligence (AI) Market Size (US$ Bn) Forecast, by Component, 2018 – 2031
6.3.1. Hardware
6.3.2. Software
6.3.3. Services
7. Global Industrial Artificial Intelligence (AI) Market Analysis, by Technology
7.1. Overview and Definitions
7.2. Key Segment Analysis
7.3. Industrial Artificial Intelligence (AI) Market Size (US$ Bn) Forecast, by Technology, 2018 – 2031
7.3.1. Machine Learning
7.3.2. Natural Language Processing
7.3.3. Image Processing
7.3.4. Others
8. Global Industrial Artificial Intelligence (AI) Market Analysis, by End-user
8.1. Overview and Definitions
8.2. Key Segment Analysis
8.3. Industrial Artificial Intelligence (AI) Market Size (US$ Bn) Forecast, by End-user, 2018 – 2031
8.3.1. BFSI
8.3.2. IT & Telecom
8.3.3. Manufacturing
8.3.4. Retail & E-commerce
8.3.5. Healthcare
8.3.6. Government
8.3.7. Energy & Utility
8.3.8. Media & Entertainment
8.3.9. Others
9. Global Industrial Artificial Intelligence (AI) Market Analysis and Forecasts, by Region
9.1. Key Findings
9.2. Market Size (US$ Bn) Forecast by Region, 2018-2031
9.2.1. North America
9.2.2. Europe
9.2.3. Asia Pacific
9.2.4. Middle East & Africa
9.2.5. South America
10. North America Industrial Artificial Intelligence (AI) Market Analysis and Forecast
10.1. Regional Outlook
10.2. Industrial Artificial Intelligence (AI) Market Size (US$ Bn) Analysis and Forecast, 2018 – 2031
10.2.1. By Component
10.2.2. By Technology
10.2.3. By End-user
10.3. Industrial Artificial Intelligence (AI) Market Size (US$ Bn) Forecast, by Country, 2018 – 2031
10.3.1. U.S.
10.3.2. Canada
10.3.3. Mexico
11. Europe Industrial Artificial Intelligence (AI) Market Analysis and Forecast
11.1. Regional Outlook
11.2. Industrial Artificial Intelligence (AI) Market Size (US$ Bn) Analysis and Forecast, 2018 – 2031
11.2.1. By Component
11.2.2. By Technology
11.2.3. By End-user
11.3. Industrial Artificial Intelligence (AI) Market Size (US$ Bn) Forecast, by Country, 2018 – 2031
11.3.1. Germany
11.3.2. UK
11.3.3. France
11.3.4. Italy
11.3.5. Spain
11.3.6. Rest of Europe
12. Asia Pacific Industrial Artificial Intelligence (AI) Market Analysis and Forecast
12.1. Regional Outlook
12.2. Industrial Artificial Intelligence (AI) Market Size (US$ Bn) Analysis and Forecast, 2018 – 2031
12.2.1. By Component
12.2.2. By Technology
12.2.3. By End-user
12.3. Industrial Artificial Intelligence (AI) Market Size (US$ Bn) Forecast, by Country, 2018 – 2031
12.3.1. China
12.3.2. India
12.3.3. Japan
12.3.4. ASEAN
12.3.5. Rest of Asia Pacific
13. Middle East & Africa Industrial Artificial Intelligence (AI) Market Analysis and Forecast
13.1. Regional Outlook
13.2. Industrial Artificial Intelligence (AI) Market Size (US$ Bn) Analysis and Forecast, 2018 – 2031
13.2.1. By Component
13.2.2. By Technology
13.2.3. By End-user
13.3. Industrial Artificial Intelligence (AI) Market Size (US$ Bn) Forecast, by Country, 2018 – 2031
13.3.1. Saudi Arabia
13.3.2. United Arab Emirates
13.3.3. South Africa
13.3.4. Rest of Middle East & Africa
14. South America Industrial Artificial Intelligence (AI) Market Analysis and Forecast
14.1. Regional Outlook
14.2. Industrial Artificial Intelligence (AI) Market Size (US$ Bn) Analysis and Forecast, 2018 – 2031
14.2.1. By Component
14.2.2. By Technology
14.2.3. By End-user
14.3. Industrial Artificial Intelligence (AI) Market Size (US$ Bn) Forecast, by Country, 2018 – 2031
14.3.1. Brazil
14.3.2. Argentina
14.3.3. Rest of South America
15. Competition Landscape
15.1. Market Competition Matrix, by Leading Players
15.2. Market Revenue Share Analysis (%), by Leading Players (2021)
15.3. Competitive Scenario
15.3.1. List of Emerging, Prominent and Leading Players
15.3.2. Major Mergers & Acquisitions, Expansions, Partnership, Contacts, Deals, etc.
16. Company Profiles
16.1. Amazon Web Services, Inc.
16.1.1. Business Overview
16.1.2. Company Revenue
16.1.3. Product Portfolio
16.1.4. Geographic Footprint
16.1.5. Strategic Partnership, Merger & Acquisition, Business Expansion, New Product Launch, Innovation etc.
16.2. Dell Inc.
16.2.1. Business Overview
16.2.2. Company Revenue
16.2.3. Product Portfolio
16.2.4. Geographic Footprint
16.2.5. Strategic Partnership, Merger & Acquisition, Business Expansion, New Product Launch, Innovation etc.
16.3. GENERAL ELECTRIC
16.3.1. Business Overview
16.3.2. Company Revenue
16.3.3. Product Portfolio
16.3.4. Geographic Footprint
16.3.5. Strategic Partnership, Merger & Acquisition, Business Expansion, New Product Launch, Innovation etc.
16.4. Google, LLC
16.4.1. Business Overview
16.4.2. Company Revenue
16.4.3. Product Portfolio
16.4.4. Geographic Footprint
16.4.5. Strategic Partnership, Merger & Acquisition, Business Expansion, New Product Launch, Innovation etc.
16.5. Hewlett Packard Enterprise Development LP
16.5.1. Business Overview
16.5.2. Company Revenue
16.5.3. Product Portfolio
16.5.4. Geographic Footprint
16.5.5. Strategic Partnership, Merger & Acquisition, Business Expansion, New Product Launch, Innovation etc.
16.6. IBM Corporation
16.6.1. Business Overview
16.6.2. Company Revenue
16.6.3. Product Portfolio
16.6.4. Geographic Footprint
16.6.5. Strategic Partnership, Merger & Acquisition, Business Expansion, New Product Launch, Innovation etc.
16.7. Intel Corporation
16.7.1. Business Overview
16.7.2. Company Revenue
16.7.3. Product Portfolio
16.7.4. Geographic Footprint
16.7.5. Strategic Partnership, Merger & Acquisition, Business Expansion, New Product Launch, Innovation etc.
16.8. Microsoft Corporation
16.8.1. Business Overview
16.8.2. Company Revenue
16.8.3. Product Portfolio
16.8.4. Geographic Footprint
16.8.5. Strategic Partnership, Merger & Acquisition, Business Expansion, New Product Launch, Innovation etc.
16.9. Oracle Corporation
16.9.1. Business Overview
16.9.2. Company Revenue
16.9.3. Product Portfolio
16.9.4. Geographic Footprint
16.9.5. Strategic Partnership, Merger & Acquisition, Business Expansion, New Product Launch, Innovation etc.
16.10. Rockwell Automation, Inc.
16.10.1. Business Overview
16.10.2. Company Revenue
16.10.3. Product Portfolio
16.10.4. Geographic Footprint
16.10.5. Strategic Partnership, Merger & Acquisition, Business Expansion, New Product Launch, Innovation etc.
16.11. Salesforce.com, Inc.
16.11.1. Business Overview
16.11.2. Company Revenue
16.11.3. Product Portfolio
16.11.4. Geographic Footprint
16.11.5. Strategic Partnership, Merger & Acquisition, Business Expansion, New Product Launch, Innovation etc.
16.12. SAP SE
16.12.1. Business Overview
16.12.2. Company Revenue
16.12.3. Product Portfolio
16.12.4. Geographic Footprint
16.12.5. Strategic Partnership, Merger & Acquisition, Business Expansion, New Product Launch, Innovation etc.
16.13. SAS Institute Inc.
16.13.1. Business Overview
16.13.2. Company Revenue
16.13.3. Product Portfolio
16.13.4. Geographic Footprint
16.13.5. Strategic Partnership, Merger & Acquisition, Business Expansion, New Product Launch, Innovation etc.
16.14. Others
17. Key Takeaways



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