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市場調查報告書

製造業人工智能 (AI)的全球市場 - 至2025年的預測:機器學習 (ML),電腦視覺,情境察覺運算,自然語言處理 (NLP)

Artificial Intelligence in Manufacturing Market by Offering (Hardware, Software, and Services), Technology (Machine Learning, Computer Vision, Context-Aware Computing, and NLP), Application, Industry, and Geography - Global Forecast to 2025

出版商 MarketsandMarkets 商品編碼 538597
出版日期 內容資訊 英文 185 Pages
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製造業人工智能 (AI)的全球市場 - 至2025年的預測:機器學習 (ML),電腦視覺,情境察覺運算,自然語言處理 (NLP) Artificial Intelligence in Manufacturing Market by Offering (Hardware, Software, and Services), Technology (Machine Learning, Computer Vision, Context-Aware Computing, and NLP), Application, Industry, and Geography - Global Forecast to 2025
出版日期: 2019年01月22日內容資訊: 英文 185 Pages
簡介

製造業人工智能 (AI) 市場將從2018年的10億美元,擴大到2025年172億美元。市場在2018年∼2025年間,預測將以年複合成長率 (CAGR) 49.5%的速度成長。

本報告提供全球製造業人工智能 (AI) 市場相關調查分析,市場概要,產業趨勢,各市場區隔的市場分析,競爭情形,主要企業等相關的系統性資訊。

第1章 簡介

第2章 調查手法

第3章 摘要整理

第4章 重要考察

  • 製造業人工智能 (AI) 市場的富有魅力的機會
  • 製造業人工智能 (AI) 市場:各提供
  • 製造業人工智能 (AI) 市場:各技術
  • 亞太地區 - 製造業人工智能 (AI) 市場:各產業,各國
  • 製造業人工智能 (AI) 市場:各國

第5章 市場概要

  • 簡介
  • 市場動態
    • 促進因素
    • 阻礙因素
    • 機會
    • 課題
  • 價值鏈分析
  • 案例研究

第6章 製造業人工智能 (AI)的全球市場:各提供

  • 簡介
  • 硬體設備
  • 軟體
  • 服務

第7章 製造業人工智能 (AI)的全球市場:各技術

  • 簡介
  • 機器學習 (ML)
  • 自然語言處理 (NLP)
  • 情境察覺運算
  • 電腦視覺

第8章 製造業人工智能 (AI)的全球市場:各用途

  • 簡介
  • 預知保全、機器檢驗
  • 材料移動
  • 生產計劃
  • 現場服務
  • 品管
  • 網路安全
  • 工業機器人
  • 再利用

第9章 製造業人工智能 (AI)的全球市場:各產業

  • 簡介
  • 汽車
  • 能源、電力
  • 醫藥品
  • 重金屬、機器製造
  • 半導體、電子產品
  • 食品、飲料
  • 其他

第10章 製造業人工智能 (AI)的全球市場:各地區

  • 簡介
  • 北美
  • 歐洲
  • 亞太地區
  • 其他

第11章 競爭情形

  • 概要
  • 企業的排行榜
  • 競爭模式

第12章 企業簡介

  • 主要企業
    • NVIDIA
    • INTEL
    • IBM
    • SIEMENS
    • GENERAL ELECTRIC (GE) COMPANY
    • GOOGLE
    • MICROSOFT
    • MICRON TECHNOLOGY
    • AMAZON WEB SERVICES (AWS)
    • SIGHT MACHINE
  • 其他的企業
    • PROGRESS SOFTWARE CORPORATION (DATARPM)
    • AIBRAIN
    • GENERAL VISION
    • ROCKWELL AUTOMATION
    • CISCO SYSTEMS
    • 三菱電機
    • ORACLE
    • SAP
    • VICARIOUS
    • UBTECH ROBOTICS

第13章 附錄

本網頁內容可能與最新版本有所差異。詳細情況請與我們聯繫。

目錄
Product Code: SE 5470

"AI in manufacturing market projected to grow at 49.5% CAGR during 2018-2025"

The AI in manufacturing market is expected to grow from USD 1.0 billion in 2018 to USD 17.2 billion by 2025, at a CAGR of 49.5% during the forecast period. Increasingly large and complex data set available in the form of big data and evolution of industrial IoT and automation are the key drivers of this market. Improving computing power, declining hardware cost, and increasing venture capital investments are the other factors fuelling the growth of this market. However, reluctance among manufacturers to adopt AI-based technologies and lack of awareness among small and medium-sized businesses are among the major factors restraining the growth of the AI in manufacturing market. Also, high power requirement from machine learning hardware, especially during network training, is limiting the growth of the said market.

"Hardware segment to witness highest growth rate among other offerings during forecast period"

Increasing need for hardware platforms with high computing power to run various AI software is the key factor accelerating the growth of hardware devices in the manufacturing market. The AI in manufacturing market is segmented on the basis of hardware into processor, memory, and network. The large presence of major companies that contribute to the AI sector are located in North America and has made the region a major market for AI hardware.

"Machine learning to hold largest market followed by computer vision in AI manufacturing market"

Machine learning's ability to collect and handle big data and its applications in various manufacturing applications such as predictive analytics and machinery inspection, quality control, and cybersecurity are fueling its growth. The growing adoption of computer vision in applications such as industrial robots, quality control, and material movement is propelling the growth of this technology in the AI in manufacturing market. Computer vision analyzes the information of different geometric shapes, volumes, and patterns, and provides visual feedback to the user, which is further used to draw the inference. The fundamental objective of computer vision technology is to interpret the picture obtained through a high-resolution camera.

"Automobile industry to hold largest market during forecast period"

The automobile industry is expected to hold the largest size of AI in manufacturing market during the forecast period. Extensive use of AI technologies, especially machine learning and computer vision in machinery inspection, installations of industrial IoT, and usage of big data, is driving the growth of the AI in manufacturing market for the automobile industry. Moreover, to reduce costs and improve the quality of vehicle production, automobile makers have started using computer vision and machine learning technology.

"APAC to witness highest growth followed by North America from 2018 to 2025"

APAC, especially in China, Japan, and South Korea, is considered the largest market for industrial robots. The industrial robots generate a huge amount of data. This data is used in deep learning algorithm to further train the robots. This would act as one of the major drivers for the AI in manufacturing market in APAC. Cross-industry participation in the manufacturing domain, along with a significant increase in venture capital investment, has propelled the growth of the AI in manufacturing market in North America.

In the process of determining and verifying the market size for several segments and subsegments gathered through the secondary research, extensive primary interviews have been conducted with key industry experts in the AI in manufacturing marketspace. The break-up of primary participants for the report has been shown below:

  • By Company Type: Tier 1 - 15%, Tier 2 - 45%, and Tier 3 - 40%
  • By Designation: C-level Executives - 65%, Directors - 25%, and Others - 10%
  • By Region: North America - 25%, Europe - 55%, APAC - 15%, and RoW - 5%

The report profiles key players in the AI in manufacturing market with their respective market ranking analysis. Prominent players profiled in this report are NVIDIA Corporation (US), IBM Corporation (US), Alphabet Inc. (Google) (US), Microsoft Corporation (US), Intel Corporation (US), AWS (US), Sight Machine (US), Siemens AG (Germany), and General Electric Company (US).

Research Coverage:

This research report categorizes the global AI market on the basis of offering, technology, application, industry, and geography. The report describes the major drivers, restraints, challenges, and opportunities pertaining to the AI in manufacturing market and forecasts the same till 2025.

Benefits of Buying the Report:

The report would help leaders/new entrants in this market in the following ways:

  • 1. This report segments the AI in manufacturing market comprehensively and provides the closest market size projection for all subsegments across different regions.
  • 2. The report helps stakeholders understand the pulse of the market and provides them with information on key drivers, restraints, challenges, and opportunities for market growth.
  • 3. The report helps stakeholders to understand value-chain of AI in manufacturing market along with recent case studies.
  • 4. This report would help stakeholders understand their competitors better and gain more insights to improve their position in the business. The competitive landscape section includes product launch, acquisition, collaboration, expansion, and partnership.

TABLE OF CONTENTS

1. INTRODUCTION

  • 1.1. STUDY OBJECTIVES
  • 1.2. MARKET DEFINITION
  • 1.3. STUDY SCOPE
    • 1.3.1. MARKETS COVERED
    • 1.3.2. YEARS CONSIDERED
  • 1.4. CURRENCY
  • 1.5. PACKAGE SIZE
  • 1.6. STAKEHOLDERS

2. RESEARCH METHODOLOGY

  • 2.1. RESEARCH DATA
    • 2.1.1. SECONDARY AND PRIMARY RESEARCH
      • 2.1.1.1. Key industry insights
    • 2.1.2. SECONDARY DATA
      • 2.1.2.1. List of major secondary sources
      • 2.1.2.2. Secondary sources
    • 2.1.3. PRIMARY DATA
      • 2.1.3.1. Primary interviews with experts
      • 2.1.3.2. Breakdown of primaries
      • 2.1.3.3. Primary sources
  • 2.2. MARKET SIZE ESTIMATION
    • 2.2.1. BOTTOM-UP APPROACH
      • 2.2.1.1. Approach for capturing the market share by bottom-up analysis (demand side)
    • 2.2.2. TOP-DOWN APPROACH
      • 2.2.2.1. Approach for capturing the market share by top-down analysis (supply side)
  • 2.3. MARKET BREAKDOWN AND DATA TRIANGULATION
  • 2.4. RESEARCH ASSUMPTIONS

3. EXECUTIVE SUMMARY

4. PREMIUM INSIGHTS

  • 4.1. ATTRACTIVE OPPORTUNITIES IN AI IN MANUFACTURING MARKET
  • 4.2. AI IN MANUFACTURING MARKET, BY OFFERING
  • 4.3. AI IN MANUFACTURING MARKET, BY TECHNOLOGY
  • 4.4. APAC: AI IN MANUFACTURING MARKET, BY INDUSTRY AND COUNTRY
  • 4.5. AI IN MANUFACTURING MARKET, BY COUNTRY

5. MARKET OVERVIEW

  • 5.1. INTRODUCTION
  • 5.2. MARKET DYNAMICS
    • 5.2.1. DRIVERS
      • 5.2.1.1. Increasingly large and complex data set
      • 5.2.1.2. Evolving Industrial IoT and automation
      • 5.2.1.3. Improving computing power and declining hardware cost
      • 5.2.1.4. Increasing venture capital investments
    • 5.2.2. RESTRAINTS
      • 5.2.2.1. Reluctance among manufacturers to adopt AI-based technologies
    • 5.2.3. OPPORTUNITIES
      • 5.2.3.1. Growth in operational efficiency of manufacturing plants
      • 5.2.3.2. Application of AI for intelligent business process
    • 5.2.4. CHALLENGES
      • 5.2.4.1. Limited skilled workforce
      • 5.2.4.2. Concerns regarding data privacy
  • 5.3. VALUE CHAIN ANALYSIS
  • 5.4. CASE STUDIES
    • 5.4.1. SIEMENS GAMESA USES FUJITSU'S AI SOLUTION TO ACCELERATE INSPECTION OF TURBINE BLADES
    • 5.4.2. VOLVO USES MACHINE LEARNING-DRIVEN DATA ANALYTICS FOR PREDICTING BREAKDOWN AND FAILURES
    • 5.4.3. ROLLS-ROYCE USING MICROSOFT CORTANA INTELLIGENCE FOR PREDICTIVE MAINTENANCE
    • 5.4.4. PAPER PACKAGING FIRM USED SIGHT MACHINE'S ENTERPRISE MANUFACTURING ANALYTICS TO IMPROVE PRODUCTION

6. ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY OFFERING

  • 6.1. INTRODUCTION
  • 6.2. HARDWARE
    • 6.2.1. PROCESSOR
      • 6.2.1.1. MPU
        • 6.2.1.1.1. MPUs to hold the largest share of AI in manufacturing market for processors during the forecast period
      • 6.2.1.2. GPU
        • 6.2.1.2.1. GPUs to grow at the highest CAGR during the forecast period
      • 6.2.1.3. FPGA
        • 6.2.1.3.1. Low power consumption and low latency expected to drive the market for FPGA
      • 6.2.1.4. ASIC
        • 6.2.1.4.1. User-specific customized solution offered by ASIC to drive its market
    • 6.2.2. MEMORY
      • 6.2.2.1. High-bandwidth memory is being developed and deployed for AI applications, independent of its computing architecture
    • 6.2.3. NETWORK
      • 6.2.3.1. Nvidia (US), Intel (US) and Mellanox Technologies (Israel) are the key providers of network interconnect adapters for AI applications
  • 6.3. SOFTWARE
    • 6.3.1. AI SOLUTIONS
      • 6.3.1.1. On-Premises
        • 6.3.1.1.1. Data-sensitive enterprises prefer on-premise advanced NLP and Ml tools to be used in AI solutions
      • 6.3.1.2. Cloud
        • 6.3.1.2.1. AI solution providers are focusing on the development of robust cloud-based solutions for their clients
    • 6.3.2. AI PLATFORM
      • 6.3.2.1. Machine learning framework
        • 6.3.2.1.1. Major tech companies such as Google, IBM, and Microsoft are developing and offering their own Ml frameworks
      • 6.3.2.2. Application Program Interface (API)
        • 6.3.2.2.1. An API provides a platform for a set of routines and tools for building software applications
  • 6.4. SERVICES
    • 6.4.1. DEPLOYMENT & INTEGRATION
      • 6.4.1.1. Deployment and integration is a key service required for configuring AI systems in manufacturing
    • 6.4.2. SUPPORT & MAINTENANCE
      • 6.4.2.1. The ultimate objective of maintenance services is to keep the system at an acceptable standard

7. ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY TECHNOLOGY

  • 7.1. INTRODUCTION
  • 7.2. MACHINE LEARNING
    • 7.2.1. DEEP LEARNING
      • 7.2.1.1. Deep learning uses artificial neural networks to learn multiple levels of data
    • 7.2.2. SUPERVISED LEARNING
      • 7.2.2.1. Classification and regression are major segmentation of supervised learning
    • 7.2.3. REINFORCEMENT LEARNING
      • 7.2.3.1. Reinforcement learning allows systems and software to determine ideal behavior for maximizing performance of the systems
    • 7.2.4. UNSUPERVISED LEARNING
      • 7.2.4.1. Unsupervised learning include clustering methods consisting of algorithms with unlabeled training data
    • 7.2.5. OTHERS
  • 7.3. NATURAL LANGUAGE PROCESSING
    • 7.3.1. NLP IS DEVELOPED FOR MAKING REAL-TIME TRANSLATION AND DEVELOPING SYSTEMS THAT CAN INTERACT THROUGH DIALOGUES
  • 7.4. CONTEXT-AWARE COMPUTING
    • 7.4.1. DEVELOPMENT OF MORE SOPHISTICATED HARD AND SOFT SENSORS HAS ACCELERATED THE GROWTH OF CONTEXT-AWARE COMPUTING
  • 7.5. COMPUTER VISION
    • 7.5.1. COMPUTER VISION ANALYZES THE INFORMATION OF DIFFERENT GEOMETRIC SHAPES, VOLUMES, AND PATTERNS

8. ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY APPLICATION

  • 8.1. INTRODUCTION
  • 8.2. PREDICTIVE MAINTENANCE AND MACHINERY INSPECTION
    • 8.2.1. PREDICTIVE MAINTENANCE AND MACHINERY INSPECTION PROVIDE THE FRAMEWORK FOR ALL PLANNED MAINTENANCE ACTIVITIES
  • 8.3. MATERIAL MOVEMENT
    • 8.3.1. AI-BASED TECHNOLOGY FOR MATERIAL MOVEMENT WILL ENSURE STREAMLINING OF IN-PLANT LOGISTICS
  • 8.4. PRODUCTION PLANNING
    • 8.4.1. THE USE OF AI IN PRODUCTION PLANNING LEADS TO THE STANDARDIZATION OF PRODUCT AND PROCESS SEQUENCE
  • 8.5. FIELD SERVICES
    • 8.5.1. FIELD SERVICES ARE EXTENSIVELY USED IN HEAVY METALS AND MACHINE MANUFACTURING, OIL & GAS, AND ENERGY AND POWER INDUSTRY
  • 8.6. QUALITY CONTROL
    • 8.6.1. AI-BASED QUALITY CONTROL SYSTEM IS WIDELY USED IN PHARMACEUTICALS, FOOD & BEVERAGES, AND SEMICONDUCTOR INDUSTRIES
  • 8.7. CYBERSECURITY
    • 8.7.1. AUTOMATION AND INTEGRATING REAL-TIME SYSTEMS IN MANUFACTURING IS RESULTING IN ADOPTION OF CYBERSECURITY SYSTEMS
  • 8.8. INDUSTRIAL ROBOTS
    • 8.8.1. INDUSTRIAL ROBOTS CAN BE CLASSIFIED INTO TRADITIONAL INDUSTRIAL ROBOTS AND COLLABORATIVE ROBOTS
  • 8.9. RECLAMATION
    • 8.9.1. IN RECLAMATION, AI-BASED SYSTEMS DETECT IMPORTANT COMPONENTS FROM WASTE OR SLAGS

9. ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY INDUSTRY

  • 9.1. INTRODUCTION
  • 9.2. AUTOMOBILE
    • 9.2.1. MACHINE LEARNING AND COMPUTER VISION ARE THE MAJOR AI TECHNOLOGIES DEPLOYED IN AUTOMOBILE INDUSTRY
  • 9.3. ENERGY AND POWER
    • 9.3.1. AI-BASED SOLUTIONS CAN HELP ENERGY AND POWER INDUSTRY TO ENHANCE PRODUCTION OUTPUT AND REDUCED DOWNTIME
  • 9.4. PHARMACEUTICALS
    • 9.4.1. QUALITY CONTROL, MATERIAL MOVEMENT, AND PRODUCTION PLANNING ARE THE MAJOR APPLICATIONS OF AI IN PHARMACEUTICALS
  • 9.5. HEAVY METALS AND MACHINE MANUFACTURING
    • 9.5.1. APAC IS CONSIDERED TO HAVE THE HIGHEST NUMBER OF HEAVY METALS AND MACHINE MANUFACTURING PLANTS IN THE WORLD
  • 9.6. SEMICONDUCTORS AND ELECTRONICS
    • 9.6.1. AI IS LIKELY TO ASSIST IN OPTIMIZING THE PRODUCTION COST, TECHNOLOGY IMPLEMENTATION, AND INTEGRATION OF COMPONENTS
  • 9.7. FOOD & BEVERAGES
    • 9.7.1. AI-BASED SOLUTIONS ENHANCE THE QUALITY OF THE FOOD PRODUCTION COST-EFFECTIVELY
  • 9.8. OTHERS

10. ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION

  • 10.1. INTRODUCTION
  • 10.2. NORTH AMERICA
    • 10.2.1. US
      • 10.2.1.1. US is among the frontrunners in terms of adoption of IIoT and industrial robots which is boosting the adoption of AI
    • 10.2.2. CANADA
      • 10.2.2.1. Government funding and extensive start-up activity, especially in AI are the major factors supporting the growth of AI
    • 10.2.3. MEXICO
      • 10.2.3.1. Increase the productivity and reduce the cost are the major factors leading to the adoption of AI in Mexico
  • 10.3. EUROPE
    • 10.3.1. GERMANY
      • 10.3.1.1. Implementation of big data in the manufacturing plant has resulted in the adoption of AI-based solutions in Germany
    • 10.3.2. UK
      • 10.3.2.1. Favorable environment for R&D has led to innovations in the field of AI in manufacturing
    • 10.3.3. FRANCE
      • 10.3.3.1. Increased funding and rising AI start-ups are expected to proliferate AI in France
    • 10.3.4. ITALY
      • 10.3.4.1. Manufacturers in Italy are adopting smart factory and AI-based solutions
    • 10.3.5. SPAIN
      • 10.3.5.1. Cybersecurity is among the emerging trend of AI in the manufacturing sector in Spain
    • 10.3.6. REST OF EUROPE
  • 10.4. APAC
    • 10.4.1. CHINA
      • 10.4.1.1. Manufacturing sectors in China are growing rapidly, resulting in the introduction of new robotics and big data technologies
    • 10.4.2. JAPAN
      • 10.4.2.1. Federal initiatives and presence of world-leading manufacturing companies is expected to boost AI in Japan
    • 10.4.3. SOUTH KOREA
      • 10.4.3.1. Quality manufacturing services and introduction of automation in manufacturing industries is driving the market of AI in South Korea
    • 10.4.4. INDIA
      • 10.4.4.1. AI in the manufacturing industry is still in its nascent stage in India
    • 10.4.5. REST OF APAC
  • 10.5. ROW
    • 10.5.1. SOUTH AMERICA
      • 10.5.1.1. South American region invests heavily in IT services
    • 10.5.2. MIDDLE EAST AND AFRICA
      • 10.5.2.1. Growing manufacturing expenditure in Israel, the Middle East, and North Africa is a key growth driver of AI in manufacturing

11. COMPETITIVE LANDSCAPE

  • 11.1. OVERVIEW
  • 11.2. RANKING OF PLAYERS, 2017
  • 11.3. COMPETITIVE SCENARIO
    • 11.3.1. PRODUCT LAUNCHES AND DEVELOPMENTS
    • 11.3.2. COLLABORATIONS, PARTNERSHIPS, AND AGREEMENTS
    • 11.3.3. ACQUISITIONS & JOINT VENTURES

12. COMPANY PROFILES (Business Overview, Products Offered, Recent Developments, SWOT Analysis, and MnM View)*

  • 12.1. KEY PLAYERS
    • 12.1.1. NVIDIA
    • 12.1.2. INTEL
    • 12.1.3. IBM
    • 12.1.4. SIEMENS
    • 12.1.5. GENERAL ELECTRIC (GE) COMPANY
    • 12.1.6. GOOGLE
    • 12.1.7. MICROSOFT
    • 12.1.8. MICRON TECHNOLOGY
    • 12.1.9. AMAZON WEB SERVICES (AWS)
    • 12.1.10. SIGHT MACHINE
  • 12.2. OTHER COMPANIES
    • 12.2.1. PROGRESS SOFTWARE CORPORATION (DATARPM)
    • 12.2.2. AIBRAIN
    • 12.2.3. GENERAL VISION
    • 12.2.4. ROCKWELL AUTOMATION
    • 12.2.5. CISCO SYSTEMS
    • 12.2.6. MITSUBISHI ELECTRIC
    • 12.2.7. ORACLE
    • 12.2.8. SAP
    • 12.2.9. VICARIOUS
    • 12.2.10. UBTECH ROBOTICS

*Details on Business Overview, Products Offered, Recent Developments, SWOT Analysis, and MnM View might not be captured in case of unlisted companies.

13. APPENDIX

  • 13.1. INSIGHTS FROM INDUSTRY EXPERTS
  • 13.2. DISCUSSION GUIDE
  • 13.3. KNOWLEDGE STORE: MARKETSANDMARKETS' SUBSCRIPTION PORTAL
  • 13.5. AVAILABLE CUSTOMIZATIONS
  • 13.6. RELATED REPORTS
  • 13.7. AUTHOR DETAILS

LIST OF TABLES

  • TABLE 1: PRICE COMPARISON: AI CHIPSETS (LEADING COMPANIES)
  • TABLE 2: AI IN MANUFACTURING MARKET, BY OFFERING, 2015-2025 (USD MILLION)
  • TABLE 3: AI IN MANUFACTURING MARKET, BY HARDWARE, 2015-2025 (USD MILLION)
  • TABLE 4: AI IN MANUFACTURING MARKET FOR HARDWARE, BY REGION, 2015-2025 (USD MILLION)
  • TABLE 5: AI IN MANUFACTURING MARKET, BY PROCESSOR, 2015-2025 (USD MILLION)
  • TABLE 6: AI IN MANUFACTURING MARKET, BY PROCESSOR, 2015-2025 (THOUSAND UNITS)
  • TABLE 7: AI IN MANUFACTURING MARKET FOR OFFERING, BY SOFTWARE, 2015-2025 (USD MILLION)
  • TABLE 8: AI IN MANUFACTURING MARKET FOR SOFTWARE, BY REGION, 2015-2025 (USD MILLION)
  • TABLE 9: AI IN MANUFACTURING MARKET FOR SOLUTION, BY DEPLOYMENT, 2015-2025 (USD MILLION)
  • TABLE 10: AI IN MANUFACTURING MARKET FOR SOFTWARE, BY PLATFORM, 2015-2025 (USD MILLION)
  • TABLE 11: AI IN MANUFACTURING MARKET, BY SERVICES, 2015-2025 (USD MILLION)
  • TABLE 12: AI IN MANUFACTURING MARKET FOR SERVICES, BY REGION, 2015-2025 (USD MILLION)
  • TABLE 13: AI IN MANUFACTURING MARKET, BY TECHNOLOGY, 2015-2025 (USD MILLION)
  • TABLE 14: AI IN MANUFACTURING MARKET FOR MACHINE LEARNING, BY TYPE, 2015-2025 (USD MILLION)
  • TABLE 15: AI IN MANUFACTURING MARKET FOR MACHINE LEARNING, BY APPLICATION, 2015-2025 (USD MILLION)
  • TABLE 16: AI IN MANUFACTURING MARKET FOR NATURAL LANGUAGE PROCESSING, BY APPLICATION, 2015-2025 (USD MILLION)
  • TABLE 17: AI IN MANUFACTURING MARKET FOR CONTEXT-AWARE COMPUTING, BY TYPE, 2015-2025 (USD MILLION)
  • TABLE 18: AI IN MANUFACTURING MARKET FOR CONTEXT-AWARE COMPUTING, BY APPLICATION, 2015-2025 (USD MILLION)
  • TABLE 19: AI IN MANUFACTURING MARKET FOR COMPUTER VISION, BY APPLICATION, 2015-2025 (USD MILLION)
  • TABLE 20: AI IN MANUFACTURING MARKET, BY APPLICATION, 2015-2025 (USD MILLION)
  • TABLE 21: AI IN MANUFACTURING MARKET FOR PREDICTIVE MAINTENANCE AND MACHINERY INSPECTION, BY REGION, 2015-2025 (USD MILLION)
  • TABLE 22: AI IN MANUFACTURING MARKET FOR PREDICTIVE MAINTENANCE AND MACHINERY INSPECTION, BY TECHNOLOGY, 2015-2025 (USD MILLION)
  • TABLE 23: AI IN MANUFACTURING MARKET FOR MATERIAL MOVEMENT, BY REGION, 2015-2025 (USD MILLION)
  • TABLE 24: AI IN MANUFACTURING MARKET FOR MATERIAL MOVEMENT, BY TECHNOLOGY, 2015-2025 (USD MILLION)
  • TABLE 25: AI IN MANUFACTURING MARKET FOR PRODUCTION PLANNING, BY REGION, 2015-2025 (USD MILLION)
  • TABLE 26: AI IN MANUFACTURING MARKET FOR PRODUCTION PLANNING, BY TECHNOLOGY, 2015-2025 (USD MILLION)
  • TABLE 27: AI IN MANUFACTURING MARKET FOR FIELD SERVICES, BY REGION, 2015-2025 (USD MILLION)
  • TABLE 28: AI IN MANUFACTURING MARKET FOR FIELD SERVICES, BY TECHNOLOGY, 2015-2025 (USD MILLION)
  • TABLE 29: AI IN MANUFACTURING MARKET FOR QUALITY CONTROL, BY REGION, 2015-2025 (USD MILLION)
  • TABLE 30: AI IN MANUFACTURING MARKET FOR QUALITY CONTROL, BY TECHNOLOGY, 2015-2025 (USD MILLION)
  • TABLE 31: AI IN MANUFACTURING MARKET FOR CYBERSECURITY, BY REGION, 2015-2025 (USD MILLION)
  • TABLE 32: AI IN MANUFACTURING MARKET FOR CYBERSECURITY, BY TECHNOLOGY, 2015-2025 (USD MILLION)
  • TABLE 33: AI IN MANUFACTURING MARKET FOR INDUSTRIAL ROBOTS, BY REGION, 2015-2025 (USD MILLION)
  • TABLE 34: AI IN MANUFACTURING MARKET FOR INDUSTRIAL ROBOTS, BY TECHNOLOGY, 2015-2025 (USD MILLION)
  • TABLE 35: AI IN MANUFACTURING MARKET FOR RECLAMATION, BY REGION, 2015-2025 (USD MILLION)
  • TABLE 36: AI IN MANUFACTURING MARKET FOR RECLAMATION, BY TECHNOLOGY, 2015-2025 (USD MILLION)
  • TABLE 37: AI IN MANUFACTURING MARKET, BY INDUSTRY, 2015-2025 (USD MILLION)
  • TABLE 38: AI IN MANUFACTURING MARKET FOR AUTOMOBILE INDUSTRY, BY REGION, 2015-2025 (USD MILLION)
  • TABLE 39: AI IN MANUFACTURING MARKET FOR ENERGY AND POWER INDUSTRY, BY REGION, 2015-2025 (USD MILLION)
  • TABLE 40: AI IN MANUFACTURING MARKET FOR PHARMACEUTICALS INDUSTRY, BY REGION, 2015-2025 (USD MILLION)
  • TABLE 41: AI IN MANUFACTURING MARKET FOR HEAVY METALS AND MACHINE MANUFACTURING INDUSTRY, BY REGION, 2015-2025 (USD MILLION)
  • TABLE 42: AI IN MANUFACTURING MARKET FOR SEMICONDUCTORS AND ELECTRONICS INDUSTRY, BY REGION, 2015-2025 (USD MILLION)
  • TABLE 43: AI IN MANUFACTURING MARKET FOR FOOD & BEVERAGES INDUSTRY, BY REGION, 2015-2025 (USD MILLION)
  • TABLE 44: AI IN MANUFACTURING MARKET FOR OTHERS, BY REGION, 2015-2025 (USD MILLION)
  • TABLE 45: AI IN MANUFACTURING MARKET, BY REGION, 2015-2025 (USD MILLION)
  • TABLE 46: AI IN MANUFACTURING MARKET IN NORTH AMERICA, BY COUNTRY, 2015-2025 (USD MILLION)
  • TABLE 47: AI IN MANUFACTURING MARKET IN NORTH AMERICA FOR HARDWARE, BY COUNTRY, 2015-2025 (USD MILLION)
  • TABLE 48: AI IN MANUFACTURING MARKET IN NORTH AMERICA FOR SOFTWARE, BY COUNTRY, 2015-2025 (USD MILLION)
  • TABLE 49: AI IN MANUFACTURING MARKET IN NORTH AMERICA FOR SERVICES, BY COUNTRY, 2015-2025 (USD MILLION)
  • TABLE 50: AI IN MANUFACTURING MARKET IN EUROPE, BY COUNTRY, 2015-2025(USD MILLION)
  • TABLE 51: AI IN MANUFACTURING MARKET IN EUROPE FOR HARDWARE, BY COUNTRY, 2015-2025 (USD MILLION)
  • TABLE 52: AI IN MANUFACTURING MARKET IN EUROPE FOR SOFTWARE, BY COUNTRY, 2015-2025 (USD MILLION)
  • TABLE 53: AI IN MANUFACTURING MARKET IN EUROPE FOR SERVICES, BY COUNTRY, 2015-2025 (USD MILLION)
  • TABLE 54: AI IN MANUFACTURING MARKET IN APAC, BY COUNTRY, 2015-2025 (USD MILLION)
  • TABLE 55: AI IN MANUFACTURING MARKET IN APAC FOR HARDWARE, BY COUNTRY, 2015-2025 (USD MILLION)
  • TABLE 56: AI IN MANUFACTURING MARKET IN APAC FOR SOFTWARE, BY COUNTRY, 2015-2025 (USD MILLION)
  • TABLE 57: AI IN MANUFACTURING MARKET IN APAC FOR SERVICES, BY COUNTRY, 2015-2025 (USD MILLION)
  • TABLE 58: AI IN MANUFACTURING MARKET IN ROW, BY REGION, 2015-2025 (USD MILLION)
  • TABLE 59: AI IN MANUFACTURING MARKET IN ROW FOR HARDWARE, BY REGION, 2015-2025 (USD MILLION)
  • TABLE 60: AI IN MANUFACTURING MARKET IN ROW FOR SOFTWARE, BY REGION, 2015-2025 (USD MILLION)
  • TABLE 61: AI IN MANUFACTURING MARKET IN ROW FOR SERVICES, BY REGION, 2015-2025 (USD MILLION)

LIST OF FIGURES

  • FIGURE 1: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET: RESEARCH DESIGN
  • FIGURE 2: MARKET SIZE ESTIMATION METHODOLOGY: BOTTOM-UP APPROACH
  • FIGURE 3: MARKET SIZE ESTIMATION METHODOLOGY: TOP-DOWN APPROACH
  • FIGURE 4: DATA TRIANGULATION
  • FIGURE 5: ASSUMPTIONS FOR THE RESEARCH STUDY
  • FIGURE 6: AI IN MANUFACTURING MARKET, BY OFFERING, 2018 VS. 2025 (USD MILLION)
  • FIGURE 7: AI IN MANUFACTURING MARKET, BY TECHNOLOGY, 2015-2025 (USD MILLION)
  • FIGURE 8: AI IN MANUFACTURING MARKET, BY APPLICATION, 2018 VS. 2025 (USD MILLION)
  • FIGURE 9: AI IN MANUFACTURING MARKET, BY INDUSTRY, 2018 VS. 2025 (USD MILLION)
  • FIGURE 10: AI IN MANUFACTURING MARKET, BY REGION, 2018
  • FIGURE 11: GROWING BIG DATA IN MANUFACTURING AND INCREASING INDUSTRIAL AUTOMATION ARE MAJOR FACTORS DRIVING MARKET GROWTH
  • FIGURE 12: SOFTWARE TO HOLD LARGEST SHARE OF AI IN MANUFACTURING MARKET DURING FORECAST PERIOD
  • FIGURE 13: AI IN MANUFACTURING MARKET FOR MACHINE LEARNING TO HOLD LARGEST SIZE FROM 2018 TO 2025
  • FIGURE 14: CHINA TO HOLD LARGEST SHARE OF AI IN MANUFACTURING MARKET IN 2018 IN APAC
  • FIGURE 15: US TO HOLD LARGEST SHARE OF AI IN MANUFACTURING MARKET IN 2018
  • FIGURE 16: INCREASINGLY LARGE AND COMPLEX DATA SET AND INDUSTRY TRENDS SUCH AS IOT AND AUTOMATION ARE DRIVING MARKET GROWTH
  • FIGURE 17: AI IN MANUFACTURING MARKET VALUE CHAIN IN 2017
  • FIGURE 18: SOFTWARE TO HOLD LARGEST SIZE OF AI IN MANUFACTURING MARKET DURING FORECAST PERIOD
  • FIGURE 19: MARKET FOR GPU TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
  • FIGURE 20: APAC TO HOLD LARGEST SIZE OF AI IN MANUFACTURING MARKET FOR SOFTWARE FROM 2018 TO 2025
  • FIGURE 21: MACHINE LEARNING TO HOLD LARGEST MARKET SHARE OF AI IN MANUFACTURING MARKET IN 2018 AND 2025
  • FIGURE 22: QUALITY CONTROL TO WITNESS HIGHEST GROWTH THROUGHOUT FORECAST PERIOD
  • FIGURE 23: NORTH AMERICA TO HOLD LARGEST SHARE OF AI IN MANUFACTURING MARKET FOR MATERIAL MOVEMENT IN 2018
  • FIGURE 24: NORTH AMERICA TO HOLD LARGEST SIZE OF AI MANUFACTURING MARKET FOR FIELD SERVICES DURING FORECAST PERIOD
  • FIGURE 25: MACHINE LEARNING TO HOLD LARGEST SIZE OF AI IN MANUFACTURING MARKET FOR APPLICATION OF QUALITY CONTROL DURING 2018-2025
  • FIGURE 26: APAC TO HOLD LARGEST SHARE OF AI IN MANUFACTURING MARKET FOR APPLICATION OF INDUSTRIAL ROBOTS DURING 2018-2025
  • FIGURE 27: AUTOMOBILE HELD LARGEST SIZE OF AI IN MANUFACTURING MARKET IN 2018
  • FIGURE 28: APAC TO HOLD LARGEST SIZE OF AI IN MANUFACTURING FOR ENERGY AND POWER BY 2025
  • FIGURE 29: APAC TO HOLD LARGEST SIZE OF AI IN MANUFACTURING MARKET FOR HEAVY METALS AND MACHINE MANUFACTURING DURING FORECAST PERIOD
  • FIGURE 30: CHINA & US ARE EMERGING AS NEW HOT SPOTS IN AI IN MANUFACTURING MARKET
  • FIGURE 31: APAC TO DOMINATE AI IN MANUFACTURING MARKET DURING FORECAST PERIOD
  • FIGURE 32: NORTH AMERICA: SNAPSHOT OF AI IN MANUFACTURING MARKET
  • FIGURE 33: EUROPE: SNAPSHOT OF AI IN MANUFACTURING MARKET
  • FIGURE 34: GERMANY HELD LARGEST SHARE OF AI IN MANUFACTURING MARKET IN EUROPE FOR HARDWARE IN 2018
  • FIGURE 35: APAC: SNAPSHOT OF AI IN MANUFACTURING MARKET
  • FIGURE 36: ROW: SNAPSHOT OF AI IN MANUFACTURING MARKET
  • FIGURE 37: KEY DEVELOPMENTS ADOPTED BY TOP PLAYERS IN AI IN MANUFACTURING MARKET FROM 2016 TO 2018
  • FIGURE 38: RANKING OF KEY COMPANIES IN AI IN MANUFACTURING MARKET (2017)
  • FIGURE 39: BATTLE FOR MARKET SHARE: PRODUCT LAUNCH WAS KEY GROWTH STRATEGY FROM 2016 TO 2018
  • FIGURE 40: NVIDIA: COMPANY SNAPSHOT
  • FIGURE 41: INTEL: COMPANY SNAPSHOT
  • FIGURE 42: IBM: COMPANY SNAPSHOT
  • FIGURE 43: SIEMENS: COMPANY SNAPSHOT
  • FIGURE 44: GE: COMPANY SNAPSHOT
  • FIGURE 45: GOOGLE: COMPANY SNAPSHOT
  • FIGURE 46: MICROSOFT: COMPANY SNAPSHOT
  • FIGURE 47: MICRON TECHNOLOGY: COMPANY SNAPSHOT
  • FIGURE 48: AWS: COMPANY SNAPSHOT
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