The global Artificial Intelligence in Manufacturing market is one of the fastest-growing markets in the world. The following report contains all the statistics and facts & figures related to the global Artificial Intelligence in Manufacturing market. Their business strategies, sales data, projections, and a host of other important data have been covered for an in-depth outlook. The report also has PEST analysis, SWOT analysis, risk analysis, and regional analysis. NVIDIA Corporation, IBM Corporation, Alphabet Inc. (Google), Microsoft Corporation, Intel Corporation and more - all the leading companies operating in the global Artificial Intelligence in Manufacturing market and their business strategies have been profiled in this research report.
Global Artificial Intelligence in Manufacturing Market is valued approximately USD 1 billion in 2019 and is anticipated to grow with a healthy growth rate of more than 57.5 % over the forecast period 2020-2027. Artificial intelligence is related with human intelligence with similar characteristics such as understanding, reasoning, , learning, problem solving and language . Integration of AI in manufacturing industry offers safer operational environment, which further aids in improving the quality and quantity of the production. Artificial intelligence is largely adopted by the manufacturers in the industries such as energy and power, automobile, food and beverages, and pharmaceuticals. The major drivers for the market are the increasing number of large and complex datasets (often known as big data), evolving Industrial IoT and automation and improving computing power. According to American Society for Quality’s report of April 2019, 63% of manufacturers consider IoT products will increase profitability over the next five years and will invest USD 267 billion in IoT by 2020. Moreover, as per Statista, the North American IoT market has grown from USD 140 billion in 2012 to USD 330 billion in 2018. Also, as per the same source, the number of IoT units in Canada in 2013 amounted to 28 million which increased to 114 million units in 2018. Moreover, mounting demand for hardware platforms, and swelling need for high-computing processors to run a extensive range of AI software are also expected to propel the global artificial intelligence in manufacturing market. All such factors are expected to boost the global artificial intelligence in manufacturing market. However, data security concerns and lack of skilled workforce impedes the growth of the market over the forecast period of 2020-2027. Although, presents a lucrative opportunity for the market.
The regional analysis of global Artificial Intelligence in Manufacturing market is considered for the key regions such as Asia Pacific, North America, Europe, Latin America and Rest of the World. North America is the leading/significant region across the world in terms of market share owing to the Early adoption of technology. Whereas, Asia-Pacific is also anticipated to exhibit highest growth rate / CAGR over the forecast period 2020-2027. Factors such as rising investment in industrial automation would create lucrative growth prospects for the Artificial Intelligence in Manufacturing market across Asia-Pacific region.
Major market player included in this report are:
NVIDIA Corporation
IBM Corporation
Alphabet Inc. (Google)
Microsoft Corporation
Intel Corporation
Siemens AG
General Electric Company
General Vision Inc.
Progress Software Corporation
Micron Technology Inc.
The objective of the study is to define market sizes of different segments & countries in recent years and to forecast the values to the coming eight years. The report is designed to incorporate both qualitative and quantitative aspects of the industry within each of the regions and countries involved in the study. Furthermore, the report also caters the detailed information about the crucial aspects such as driving factors & challenges which will define the future growth of the market. Additionally, the report shall also incorporate available opportunities in micro markets for stakeholders to invest along with the detailed analysis of competitive landscape and product offerings of key players. The detailed segments and sub-segment of the market are explained below:
By Offering:
Hardware
Software
Services
By Technology:
Machine Learning
Computer Vision
Context-Aware Computing
Natural Language Processing
By Application:
Predictive maintenance and machinery inspection,
Material Movement
Production Planning
Quality Control
Cybersecurity
Industrial Robots
Others
By End-user Industry:
Automobile
Energy and Power
Pharmaceuticals
Heavy Metals and Machine Manufacturing
Semiconductors and Electronics
Food & Beverages
Others
By Region:
North America
U.S.
Canada
Europe
UK
Germany
France
Spain
Italy
ROE
Asia Pacific
China
India
Japan
Australia
South Korea
RoAPAC
Latin America
Brazil
Mexico
Rest of the World
Furthermore, years considered for the study are as follows:
Historical year – 2017, 2018
Base year – 2019
Forecast period – 2020 to 2027
Target Audience of the Global Artificial Intelligence in Manufacturing Market in Market Study:
Key Consulting Companies & Advisors
Large, medium-sized, and small enterprises
Venture capitalists
Value-Added Resellers (VARs)
Third-party knowledge providers
Investment bankers
Investors
The market research report paints a clear picture of the global Artificial Intelligence in Manufacturing market by providing you with qualitative research and quantitative research based on which you can assess the market to make entry into the market, make investments, or make reports & presentations. Get in touch with Market Research Port for the most competitively priced report on the global Artificial Intelligence in Manufacturing market.
Chapter 1.Executive Summary
1.1.Market Snapshot
1.2.Global & Segmental Market Estimates & Forecasts, 2018-2027 (USD Billion)
1.2.1.Artificial Intelligence in Manufacturing Market, by Region, 2018-2027 (USD Billion)
1.2.2.Artificial Intelligence in Manufacturing Market, by Offering, 2018-2027 (USD Billion)
1.2.3.Artificial Intelligence in Manufacturing Market, by Technology, 2018-2027 (USD Billion)
1.2.4.Artificial Intelligence in Manufacturing Market, by Application, 2018-2027 (USD Billion)
1.2.5.Artificial Intelligence in Manufacturing Market, by End-Use Industry, 2018-2027 (USD Billion)
1.3.Key Trends
1.4.Estimation Methodology
1.5.Research Assumption
Chapter 2.Global Artificial Intelligence in Manufacturing Market Definition and Scope
2.1.Objective of the Study
2.2.Market Definition & Scope
2.2.1.Scope of the Study
2.2.2.Industry Evolution
2.3.Years Considered for the Study
2.4.Currency Conversion Rates
Chapter 3.Global Artificial Intelligence in Manufacturing Market Dynamics
3.1.Artificial Intelligence in Manufacturing Market Impact Analysis (2018-2027)
3.1.1.Market Drivers
3.1.2.Market Challenges
3.1.3.Market Opportunities
Chapter 4.Global Artificial Intelligence in Manufacturing Market Industry Analysis
4.1.Porter’s 5 Force Model
4.1.1.Bargaining Power of Suppliers
4.1.2.Bargaining Power of Buyers
4.1.3.Threat of New Entrants
4.1.4.Threat of Substitutes
4.1.5.Competitive Rivalry
4.1.6.Futuristic Approach to Porter’s 5 Force Model (2017-2027)
4.2.PEST Analysis
4.2.1.Political
4.2.2.Economical
4.2.3.Social
4.2.4.Technological
4.3.Investment Adoption Model
4.4.Analyst Recommendation & Conclusion
Chapter 5.Global Artificial Intelligence in Manufacturing Market, by Offering
5.1.Market Snapshot
5.2.Global Artificial Intelligence in Manufacturing Market by Offering, Performance - Potential Analysis
5.3.Global Artificial Intelligence in Manufacturing Market Estimates & Forecasts by Offering 2017-2027 (USD Billion)
5.4.Artificial Intelligence in Manufacturing Market, Sub Segment Analysis
5.4.1. Hardware
5.4.2.Software
5.4.3.Services
Chapter 6.Global Artificial Intelligence in Manufacturing Market, by Technology
6.1.Market Snapshot
6.2.Global Artificial Intelligence in Manufacturing Market by Technology, Performance - Potential Analysis
6.3.Global Artificial Intelligence in Manufacturing Market Estimates & Forecasts by Technology 2017-2027 (USD Billion)
6.4.Artificial Intelligence in Manufacturing Market, Sub Segment Analysis
6.4.1. Machine Learning
6.4.2.Computer Vision
6.4.3.Context-Aware Computing
6.4.4.Natural Language Processing
Chapter 7.Global Artificial Intelligence in Manufacturing Market, by Application
7.1.Market Snapshot
7.2.Global Artificial Intelligence in Manufacturing Market by Application, Performance - Potential Analysis
7.3.Global Artificial Intelligence in Manufacturing Market Estimates & Forecasts by Application, 2017-2027 (USD Billion)
7.4.Artificial Intelligence in Manufacturing Market, Sub Segment Analysis
7.4.1. Predictive maintenance and machinery inspection,
7.4.2.Material Movement
7.4.3.Production Planning
7.4.4.Quality Control
7.4.5.Cybersecurity
7.4.6.Industrial Robots
7.4.7.Others
Chapter 8.Global Artificial Intelligence in Manufacturing Market, by End-User Industry
8.1.Market Snapshot
8.2.Global Artificial Intelligence in Manufacturing Market by End-User Industry, Performance - Potential Analysis
8.3.Global Artificial Intelligence in Manufacturing Market Estimates & Forecasts by End-User Industry, 2017-2027 (USD Billion)
8.4.Artificial Intelligence in Manufacturing Market, Sub Segment Analysis
8.4.1. Automobile
8.4.2.Energy and Power
8.4.3.Pharmaceuticals
8.4.4.Heavy Metals and Machine Manufacturing
8.4.5.Semiconductors and Electronics
8.4.6.Food & Beverages
8.4.7.Others
Chapter 9.Global Artificial Intelligence in Manufacturing Market, Regional Analysis
9.1.Artificial Intelligence in Manufacturing Market, Regional Market Snapshot
9.2.North America Artificial Intelligence in Manufacturing Market
9.2.1.U.S. Artificial Intelligence in Manufacturing Market
9.2.1.1. Offering breakdown estimates & forecasts, 2017-2027
9.2.1.2. Technology breakdown estimates & forecasts, 2017-2027
9.2.1.3. Application breakdown estimates & forecasts, 2017-2027
9.2.1.4. End-use Industry breakdown estimates & forecasts, 2017-2027
9.2.2.Canada Artificial Intelligence in Manufacturing Market
9.3.Europe Artificial Intelligence in Manufacturing Market Snapshot
9.3.1.U.K. Artificial Intelligence in Manufacturing Market
9.3.2.Germany Artificial Intelligence in Manufacturing Market
9.3.3.France Artificial Intelligence in Manufacturing Market
9.3.4.Spain Artificial Intelligence in Manufacturing Market
9.3.5.Italy Artificial Intelligence in Manufacturing Market
9.3.6.Rest of Europe Artificial Intelligence in Manufacturing Market
9.4.Asia-Pacific Artificial Intelligence in Manufacturing Market Snapshot
9.4.1.China Artificial Intelligence in Manufacturing Market
9.4.2.India Artificial Intelligence in Manufacturing Market
9.4.3.Japan Artificial Intelligence in Manufacturing Market
9.4.4.Australia Artificial Intelligence in Manufacturing Market
9.4.5.South Korea Artificial Intelligence in Manufacturing Market
9.4.6.Rest of Asia Pacific Artificial Intelligence in Manufacturing Market
9.5.Latin America Artificial Intelligence in Manufacturing Market Snapshot
9.5.1.Brazil Artificial Intelligence in Manufacturing Market
9.5.2.Mexico Artificial Intelligence in Manufacturing Market
9.6.Rest of The World Artificial Intelligence in Manufacturing Market
Chapter 10.Competitive Intelligence
10.1.Top Market Strategies
10.2.Company Profiles
10.2.1. NVIDIA Corporation
10.2.1.1.Key Information
10.2.1.2.Overview
10.2.1.3.Financial (Subject to Data Availability)
10.2.1.4.Product Summary
10.2.1.5.Recent Developments
10.2.2. IBM Corporation
10.2.3.Alphabet Inc. (Google)
10.2.4.Microsoft Corporation
10.2.5.Intel Corporation
10.2.6.Siemens AG
10.2.7.General Electric Company
10.2.8.General Vision Inc.
10.2.9.Progress Software Corporation
10.2.10.Micron Technology Inc
Chapter 11.Research Process
11.1.Research Process
11.1.1.Data Mining
11.1.2.Analysis
11.1.3.Market Estimation
11.1.4.Validation
11.1.5.Publishing
11.2.Research Attributes
11.3.Research Assumption
