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Global AI in Manufacturing Market By Offering(Hardware, Software, Services), By Technology(Machine Learning, Natural Language Processing, Others), By Application(Predictive Maintenance & Machinery Inspection, Material Movement, Others), By Region–Forecast & Opportunities to 2026

Report Description

The global artificial intelligent in manufacturing market was a valued at USD 0.9 billion in 2019. It is projected to grow at a CAGR of 47.2% during forecast period.

COVID-19 has impacted artificial intelligent in manufacturing market. This pandemic has disrupted the supply chain and timely devilry of finished products. This has made all industries to reconsider and adapt to the global supply chain model. The production of many industries was halted. The new technology upgrade for many industries has been postponed to recover losses due to lockdown. The growth in AI is totally dependent on growth in manufacturing units. Due to corona virus pandemic manufacturing units upgrade is on halt thus the growth AI in manufacturing unit is expected to be slow. AI market is affected negatively by COVID-19.

Definition:

Artificial intelligence is becoming fastest growing technologies in few years. AI is associated with human intelligence with similar characteristics such as reasoning, leaning, problem solving, language understanding and others.

Market Dynamics (Drivers/Opportunities):

The industrial internet of things is gaining immense popularity these days. The IIoT plays a crucial role in adoption of AI-based technology in manufacturing units. It makes manufacturing process productive, efficient innovative by enabling architecture to provide real-time information about operational and business systems. This drives growth in artificial intelligent in manufacturing market.

The evolution in IIoT systems has driven growth in artificial intelligent in manufacturing market. The IIoT evolution has lead to evolution of manufacturing units which leads to AI growth in production units. The major companies are upgrading their manufacturing plant leads to increase in AI market.

Market Insights, by Offerings

On the basis of offerings, the AI in manufacturing market is segmented into Hardware, software and services. The Hardware segment is projected to account for maximum market share during the forecast period.  The AI manufacturers provide hardware components for technologies such as machine vision cameras, connected cars and IoT. This helps companies in transferring the technology easily and develops the AI hardware. This is growth attributing factor in hardware segment during the forecast period.

Market Insights, by Technology

On the basis of technology, the AI in manufacturing market is segmented into machine learning, natural language processing, computer vision, context-aware computing. The machine learning is further segmented into deep learning, supervised learning, unsupervised learning and others. The deep learning is expected to register growth at highest CAGR during the forecast period. The deep learning technology has sight wide adoption in various manufacturing applications. This is driving growth in deep learning segment.

Market Insights, by Application

On the basis of application, the AI in manufacturing market is segmented into predictive maintenance & machinery inspection, material movement, production planning, quality control, cyber security, reclaimation and industrial robots. The predictive maintenance & machinery inspection segment is expected to register growth at highest CAGR during the forecast period. The use of vision cameras in machinery inspection is increasing extensively along with increase in use of big data in manufacturing units across the world. This is attributing growth in predictive maintenance & machinery inspection segment during the forecast period.

Regional Insights

Asia-Pacific region is expected to register growth at highest CAGR during the forecast period. The presence of large number of manufacturers in countries like china and Japan along with strong presence of semiconductors, electronics and automobile manufacturers is primary growth driver in Asia-Pacific region.

Key Companies & Market Share Insights

The key market players in AI in manufacturing market are IBM, Alphabet Inc., Google, Microsoft, NVIDIA, Intel, Siemens AG, General Electric Company, Micron Technology, Mitsubishi Electric Corporation, SAP SE, Rockwell Automation, Oracle, Amazon Web, AIBrain Spark Cognition Inc. and Cisco System.

Segments Covered in the Report

This report forecasts The Global AI in Manufacturing Market, regional, and country levels and provides an analysis of the latest industry trends and opportunities in each of the sub-segments from 2020 to 2026. For the purpose of this study, Our Company has segmented the global AI in manufacturing market report on the basis of offerings, technology and application.

Artificial Intelligent in Manufacturing Market Size & Forecast (2017-2026)

  1. Research Framework
    • Market Definition and Product Overview
    • Market Segmentation
  2. Research Methodology
    • Qualitative Research
      • Primary & Secondary Sources
    • Quantitative Research
      • Primary & Secondary Sources
    • Breakdown of Primary Research Respondents, By Region
      • Secondary Research
      • Primary Research
    • Breakdown of Primary Research Respondents, By Industry Participants
      • Market Size Estimation
      • Assumption for the Study
      • Market Breakdown & Data Triangulation
  3. Executive Summary
    • Market Snapshot
  4. Industry Insights
    • Industry ecosystem analysis
      • Value Chain Analysis
    • Industry impact and forces
      • Growth Drivers
      • Challenges &Restraints
      • Opportunities
    • Disruptive Technological Analysis
    • Regulatory framework
      • North America
      • Europe
      • Asia Pacific
      • Middle East & Africa
      • South America
    • Growth potential analysis, 2019
    • Porter’s Five forces analysis
    • Pricing Analysis
      • North America
      • Europe
      • Asia Pacific
      • Middle East & Africa
      • South America
  1. COVID – Impact Analysis
    • North America
    • Europe
    • Asia Pacific
    • Middle East & Africa
    • South America
  2. AI in Manufacturing Market, By Offerings, Market Size & Forecast To 2026

(USD Million 2017,2018, 2019, 2020, 2021-e-2026-p)

  • Introduction
  • Hardware
  • Software
  • Services
  1. AI in Manufacturing Market, By Technology, Market Size & Forecast To 2026

(USD Million 2017,2018, 2019, 2020, 2021-e-2026-p)

  • Introduction
  • Machine Learning
  • Natural Language Processing
  • Computer Vision
  • Context-Aware Computing
  1. AI in Manufacturing Market, By Application, Market Size & Forecast To 2026

(USD Million 2017,2018, 2019, 2020, 2021-e-2026-p)

  • Introduction
  • Predictive Maintenance & Machinery Inspection
  • Material Movement
  • Production Planning
  • Quality Control
  • Cyber Security
  • Reclaimation
  • Industrial Robots.
  1. AI in Manufacturing Market, By Region, Market Size & Forecast To 2026

(USD Million 2017,2018, 2019, 2020, 2021-e-2026-p)

  • Introduction
  • North America Market Size & Forecast To 2026
    • Market Overview
    • COVID-19 Impact
    • By Offerings
    • By Technology
    • By Application
    • By Country
      • USA
        • By Application
      • Canada
      • Mexico
    • South America Market Size & Forecast To 2026
      • Market Overview
      • COVID-19 Impact
      • By Offerings
      • By Technology
      • By Application
      • By Country
        • Brazil
          • By Application
        • Argentina
        • Chile
        • Rest of South America
      • Europe Market Size & Forecast To 2026
        • Market Overview
        • COVID-19 Impact
        • By Offerings
        • By Technology
        • By Application
        • By Country
          • UK
            • By Application
          • Germany
          • France
          • Italy
          • Rest of Europe
        • APAC Market Size & Forecast To 2026
          • Market Overview
          • COVID-19 Impact
          • By Offerings
          • By Technology
          • By Application
          • By Country
            • China
              • By Application
            • India
            • Japan
            • South Korea
            • Australia
            • Rest of APAC
          • Middle East & Africa Market Size & Forecast To 2026
            • Market Overview
            • COVID-19 Impact
            • By Offerings
            • By Technology
            • By Application
            • By Country
              • Saudi Arabia
                • By Application
              • UAE
              • Qatar
              • Kuwait
              • South Africa
              • Rest of Middle East & Africa
  1. Competitive Landscaping
    • Competitive Benchmarking
      • Market Share Analysis, 2019
      • Global Presence and Growth Strategies
        • Mergers & Acquisitions
        • New Product Launches
        • Investments Trends
        • R&D Initiatives
  1. Company Profile
    • Cisco System
      • Company Overview
      • Financial Overview
      • Product Portfolio
      • Recent Developments
      • SWOT Analysis
      • Strategic Outlook
    • IBM
    • Alphabet Inc.
    • Google
    • Microsoft
    • NVIDIA
    • Intel
    • Siemens AG
    • General Electric Company
    • Micron Technology
    • Mitsubishi Electric Corporation
    • SAP SE
    • Rockwell Automation
    • Oracle
    • Amazon Web
    • AIBrain Spark Cognition Inc
  2. Appendix
    • Interrelated Market

 

 

Research Methodology

1.1     Research Methodology

The process of market research at PAN Market Consulting is very intuitive being iterative in nature and usually follows the path where Information gathered from secondary research is used to build data models, which are than validated from primary participants. Then same cycle repeats where, according to inputs from primary participants, additional secondary research is done, and new information type is again incorporated into data model. The process continues till desired level of information is not generated.

To calculate the market size, the report considers the revenue generated from the sales of the product/services. The revenue generated from the sales of product/services has been calculated through primary and secondary research. The report also analyses the key players operating in the market at the global level which are identified through secondary research and a corresponding detailed analysis of the top vendors in the market. The market size calculation also includes product segmentation determined using secondary sources and verified through primary sources.

1.2     Secondary Research

The secondary research source that are typically referred to include, but are not limited to:

  • Company websites, annual reports, financial reports, broker reports, investor presentations and SEC filings
  • Internal and external proprietary databases, relevant patent and regulatory databases
  • National government documents, statistical databases and market reports
  • News articles, press releases and web-casts specific to the companies operating in the market

The source for secondary research includes but is not limited to Factiva, Hoovers and Statista

SecondaryResearch

1.3     Primary Research

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

  • It provides first-hand information on the market size, market trends, growth trends, competitive landscape, future outlook etc.
  • Helps in validating and strengthening the 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

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

  • Industry participants: CEOs, VPs, marketing/ product managers, market intelligence managers and national sales managers
  • Purchasing managers, technical personnel, distributors and resellers
  • Outside experts: Investment bankers, valuation experts, research analysts specializing in specific markets
  • Key opinion leaders specializing in different areas corresponding to different industry end users

1.4     Models

Where no hard data is available, we use modeling and estimates in order to produce comprehensive data sets. A rigorous methodology is adopted in which the available hard data is cross referenced with the following data products to produce estimates:

  • Demographic data: Population split by segment
  • Macro-economic indicators: GDP, etc.
  • Industry indicators: Expenditure, product stage & infrastructure, sector growth and facilities.

Data is then cross checked by the expert panel.

1.4.1 Company Share Analysis Model

Company share analysis is used to derive the size of global market. As well as study of revenues of companies for last three to five years also provide the base for forecasting the market size and its growth rate. This model is built in following steps:

ResearchMethodology1

1.4.2 Revenue Based Modeling

Revenue based models can be built in two ways – Top-Down or Bottom-Up irrespective of industry. Market size estimated from company share analysis acts as a validation point for bottom-up approach whereas it acts as starting point for top-down approach.

ResearchMethodology2

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