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市場調查報告書

製造業的人工智能 (AI)的全球市場預測 2023年:深度學習、電腦視覺、情境感知、自然語言處理 (NLP)

Artificial Intelligence in Manufacturing Market by Offering (Hardware, and Software), Technology (Deep Learning, Computer Vision, Context Awareness, and Natural Language Processing), Application, Industry, and Geography - Global Forecast to 2023

出版商 MarketsandMarkets 商品編碼 538597
出版日期 內容資訊 英文 191 Pages
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製造業的人工智能 (AI)的全球市場預測 2023年:深度學習、電腦視覺、情境感知、自然語言處理 (NLP) Artificial Intelligence in Manufacturing Market by Offering (Hardware, and Software), Technology (Deep Learning, Computer Vision, Context Awareness, and Natural Language Processing), Application, Industry, and Geography - Global Forecast to 2023
出版日期: 2017年08月02日 內容資訊: 英文 191 Pages
簡介

全球製造業的人工智能 (AI) 市場規模,預計從2017年到2023年以54.42%的年複合成長率發展,從2016年的2億7,250萬美元,到2023年達到48億8,290萬美元。該市場的成長,由於製造業的巨量資料技術的利用擴大,工業IoT,機器人工學的利用廣泛,電腦視覺技術,產業間的聯盟、合作,及創業投資資金投資大幅增加而受到促進。可是,廠商對引進AI型技術猶豫,成為抑制製造業AI成長的一大要素。

本報告以全球製造業的人工智能 (AI) 市場為研究主題,提供市場概要,市場發展促進、阻礙因素,市場上課題及機會,提供品、服務,各技術、應用、產業及各地區市場現況與展望相關調查分析,競爭環境,主要企業簡介,為您概述為以下內容。

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

  • 全球製造市場上AI
  • 製造市場上的AI:各提供品、服務
  • 製造市場上的AI:各技術
  • 製造市場上的AI:各應用、地區
  • 製造市場上的AI:各地區

第5章 市場概要

  • 簡介
  • 市場動態
    • 促進要素
    • 抑制因素
    • 機會
    • 課題

第6章 產業趨勢

  • 簡介
  • 製造業的AI的價值鏈分析
  • 資金

第7章 製造市場上AI:各提供品、服務

  • 簡介
  • 硬體設備
  • 軟體
    • AI平台
    • AI解決方案

第8章 製造市場上AI:各技術

  • 簡介
  • 電腦視覺
  • 深度學習
  • 自然語言處理 (NLP)
  • 情境感知

第9章 製造市場上AI:各應用領域

  • 簡介
  • 預知保全、機器檢驗
  • 材料移動
  • 生產計劃
  • 現場服務
  • 品管
  • 再利用

第10章 製造市場上的AI: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
  • 食品和飲料
  • 其他

第11章 地區分析

  • 簡介
  • 北美
  • 歐洲
  • 亞太地區 (APAC)
  • 其他

第12章 競爭情形

  • 概要
  • AI製造市場上的市場排行榜分析
  • 競爭領導製圖
  • 競爭基準

第13章 企業簡介

  • 簡介
  • SIEMENS AG
  • INTEL CORPORATION
  • NVIDIA CORPORATION
  • ALPHABET INC.
  • IBM CORPORATION
  • MICROSOFT CORPORATION
  • GENERAL ELECTRIC (GE) COMPANY
  • DATARPM
  • SIGHT MACHINE
  • GENERAL VISION, INC.
  • AIBRAIN
  • ROCKWELL AUTOMATION INC.
  • CISCO SYSTEMS, INC.
  • 三菱電機
  • ORACLE CORPORATION
  • SAP SE
  • 新興企業生態系統
    • PREFERRED NETWORKS, INC.
    • VICARIOUS INC.
    • SKYMIND, INC.
    • CITRINE INFORMATICS
    • CLOUDMINDS TECHNOLOGIES
    • UBTECH ROBOTICS CORP.

第14章 附錄

目錄
Product Code: SE 5470

"Growing usage of big data technology and industrial IoT is expected to drive the growth of the AI in manufacturing market"

The artificial intelligence (AI) in manufacturing market was valued at USD 272.5 million in 2016 and is expected to reach USD 4,882.9 million by 2023, at a CAGR of 52.42% between 2017 and 2023. The growth of this market is driven by the growing usage of big data technology in manufacturing, Industrial IoT, extensive usage of robotics, computer vision technology, cross-industry partnerships and collaborations, and significant increase in venture capital investments. However, reluctance among manufacturers to adopt AI-based technologies is the major factors restraining the growth of the AI in manufacturing market.

"Easy technology transfer and participation of established market leaders are the factors driving the growth of the AI in manufacturing market for the hardware segment"

Hardware includes graphics processing unit GPUs, digital signal processing (DSPs), field programming gateway array (FPGAs), Microprocessors, and tensor processing unit (TPU) chips. This segment is expected to grow at the highest CAGR in the AI in manufacturing market for offering. The GPU, DSP, and FPGA are widely used to implement the deep learning algorithm. In terms of throughput, GPU is faster than FPGA, whereas in the case of power efficiency, FPGA is better than GPU. Keeping these factors in mind, the AI providers choose the hardware accordingly.

"Extensive usage of computer vision camera in machinery inspection, material movement, field service, and quality control is driving the growth of the AI in manufacturing market"

Computer vision technology currently holds the largest market share among AI technologies. This demand has grown since the companies have started to structure the machine's data for predictive analysis. Moreover, the growing usage of internet and connected devices along with huge volumes of machine data is driving the growth of the AI in manufacturing market.

"APAC to witness the highest growth rate in the AI in manufacturing market"

Asia Pacific (APAC) is expected to be the fastest-growing region in the AI in manufacturing market during the forecast period. APAC, especially China, Japan, and South Korea, is considered as the largest market for industrial robots. The industrial robots generate a huge amount of data. This data is used in deep learning algorithm to train the robots further. This would act as one of the major drivers for the growth of AI in manufacturing market in APAC.

The breakup of the profile of primary participants has been given below:

  • By Companies: Tier 1 - 40 %, Tier 2 - 20%, and Tier 3 - 40%
  • By Designation: C-level Executives - 40%, Directors - 40%, and Others - 20%
  • By Region: North America - 40%, Europe - 40%, APAC - 10%, and RoW - 10%

This report provides valuable insights into the ecosystem of the AI in manufacturing market including the software companies, and chipset and manufacturing related solution providers. The major players in the AI in manufacturing market are Siemens AG (Germany), Intel Corporation (US), NVIDIA Corporation (us), Alphabet Inc. (us), IBM Corporation, Microsoft Corporation (US), General Electric Company (US), DataRPM, Sight Machine (US), General Vision, Inc. (US), AIBrain, Inc. (US), Rockwell, Automation Inc. (US), Cisco Systems, Inc. (US), Mitsubishi Electric Corporation (Japan), Oracle Corporation (US), SAP SE (Germany), Preferred Networks, Inc. (Japan), Vicarious Inc. (US), Skymind Inc.(US), Citrine Informatics (US), CloudMinds Technologies (US), and Ubtech Robotics Corp. (China).

Research Coverage:

The AI in manufacturing market has been segmented on the basis of offering, technology, application, industry, and geography. By offering, the market has been further segmented into hardware and software. By technology, the market is segmented into deep learning, computer vision, context awareness, and natural language processing (NLP). By application, the market is segmented into material movement, predictive maintenance and machinery inspection, production planning, field services, reclamation, and quality control. By industry, the market is segmented into semiconductor and electronics, energy and power, pharmaceuticals, automobile, heavy metals and machine manufacturing, food and beverages, others (textiles and aerospace) By geography, the market has been segmented into North America, Europe, Asia Pacific (APAC), and Rest of the World (RoW).

Reasons to Buy the Report:

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

  • 1. This report segments the AI in manufacturing market comprehensively and provides the closest approximations of the market sizes for the overall market segments and subsegments across different applications and regions.
  • 2. This report helps stakeholders to understand the pulse of the AI in manufacturing market and provides them information on key market drivers, restraints, challenges, and opportunities.

TABLE OF CONTENTS

1. INTRODUCTION

  • 1.1. OBJECTIVES OF THE STUDY
  • 1.2. MARKET DEFINITION
  • 1.3. SCOPE OF THE STUDY
    • 1.3.1. MARKETS COVERED
    • 1.3.2. YEARS CONSIDERED FOR THE STUDY
  • 1.4. CURRENCY
  • 1.5. LIMITATIONS
  • 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. Key data from 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. Key data from 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. DATA TRIANGULATION
  • 2.4. RESEARCH ASSUMPTIONS
  • 2.5. DEMAND- AND SUPPLY-SIDE ANALYSIS OF AI IN THE MANUFACTURING MARKET
    • 2.5.1. INTRODUCTION
    • 2.5.2. DEMAND-SIDE ANALYSIS
      • 2.5.2.1. Growth in business outlook in the manufacturing sector
      • 2.5.2.2. Shortage of skilled labor
      • 2.5.2.3. Rising wages of labor
    • 2.5.3. SUPPLY-SIDE ANALYSIS
      • 2.5.3.1. Cross-industry partnership in the manufacturing domain

3. EXECUTIVE SUMMARY

4. PREMIUM INSIGHTS

  • 4.1. GLOBAL AI IN MANUFACTURING MARKET
  • 4.2. AI IN MANUFACTURING MARKET BY OFFERINGS
  • 4.3. AI IN MANUFACTURING MARKET BY TECHNOLOGY
  • 4.4. AI IN MANUFACTURING MARKET, BY APPLICATION AND GEOGRAPHY
  • 4.5. AI IN MANUFACTURING MARKET BY GEOGRAPHY IN 2016

5. MARKET OVERVIEW

  • 5.1. INTRODUCTION
    • 5.1.1. DRIVERS
      • 5.1.1.1. Big data technology in manufacturing
      • 5.1.1.2. Industrial IoT in manufacturing
      • 5.1.1.3. Extensive usage of robotics in manufacturing
      • 5.1.1.4. Computer vision technology in manufacturing
      • 5.1.1.5. Significant increase in venture capital investments
    • 5.1.2. RESTRAINTS
      • 5.1.2.1. Reluctance among the manufacturers to adopt AI-based technologies
    • 5.1.3. OPPORTUNITIES
      • 5.1.3.1. Significant growth opportunities for AI-based technology in emerging and developed countries
      • 5.1.3.2. Improving operational efficiency of manufacturing plants
    • 5.1.4. CHALLENGES
      • 5.1.4.1. Concerns regarding data privacy

6. INDUSTRY TRENDS

  • 6.1. INTRODUCTION
  • 6.2. VALUE CHAIN ANALYSIS OF AI IN MANUFACTURING
  • 6.3. FUNDING

7. ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY OFFERING

  • 7.1. INTRODUCTION
  • 7.2. HARDWARE
  • 7.3. SOFTWARE
    • 7.3.1. AI PLATFORM
    • 7.3.2. AI SOLUTION

8. ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY TECHNOLOGY

  • 8.1. INTRODUCTION
  • 8.2. COMPUTER VISION
  • 8.3. DEEP LEARNING
  • 8.4. NATURAL LANGUAGE PROCESSING (NLP)
  • 8.5. CONTEXT AWARENESS

9. ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY APPLICATION

  • 9.1. INTRODUCTION
  • 9.2. PREDICTIVE MAINTENANCE AND MACHINERY INSPECTION
  • 9.3. MATERIAL MOVEMENT
  • 9.4. PRODUCTION PLANNING
  • 9.5. FIELD SERVICES
  • 9.6. QUALITY CONTROL
  • 9.7. RECLAMATION

10. ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY INDUSTRY

  • 10.1. INTRODUCTION
  • 10.2. AUTOMOBILE
  • 10.3. ENERGY AND POWER
  • 10.4. PHARMACEUTICALS
  • 10.5. HEAVY METALS AND MACHINE MANUFACTURING
  • 10.6. SEMICONDUCTOR AND ELECTRONICS
  • 10.7. FOOD AND BEVERAGES
  • 10.8. OTHERS

11. GEOGRAPHIC ANALYSIS

  • 11.1. INTRODUCTION
  • 11.2. NORTH AMERICA
    • 11.2.1. US
    • 11.2.2. CANADA
    • 11.2.3. MEXICO
  • 11.3. EUROPE
    • 11.3.1. GERMANY
    • 11.3.2. FRANCE
    • 11.3.3. UK
    • 11.3.4. REST OF EUROPE
  • 11.4. APAC
    • 11.4.1. CHINA
    • 11.4.2. JAPAN
    • 11.4.3. SOUTH KOREA
    • 11.4.4. INDIA
    • 11.4.5. REST OF APAC
  • 11.5. REST OF THE WORLD
    • 11.5.1. SOUTH AMERICA
    • 11.5.2. MIDDLE EAST AND AFRICA

12. COMPETITIVE LANDSCAPE

  • 12.1. OVERVIEW
  • 12.2. MARKET RANKING ANALYSIS IN AI MANUFACTURING MARKET
  • 12.3. COMPETITIVE LEADERSHIP MAPPING, 2016
    • 12.3.1. VISIONARY LEADERS
    • 12.3.2. DYNAMIC DIFFERENTIATORS
    • 12.3.3. INNOVATORS
    • 12.3.4. EMERGING COMPANIES
  • 12.4. COMPETITIVE BENCHMARKING
    • 12.4.1. BUSINESS STRATEGY EXCELLENCE (FOR ALL 25 PLAYERS)
    • 12.4.2. STRENGTH OF PRODUCT PORTFOLIO (25 COMPANIES)

Top 25 companies analyzed for this study are - NVIDIA Corporation, IBM Corporation, Intel Corporation, Alphabet Inc., Siemens AG, General Electric Company, Microsoft Corporation, DataRPM, Clearpath Robotics Inc., Sight Machine, General Vision Inc., Rockwell Automation Inc., Skymind, Inc., Preferred Networks Inc., Kespry, Inc., Omron Adept Technologies, Inc, AIBrain, Inc., Vicarious Inc., CloudMinds Technologies, Citrine Informatics, DataRobot, Ubtech Robotics Corp., Arimo, inc., Tamr, Inc., Darktrace

13. COMPANY PROFILES (Business Overview, Products Offered, Product Offering Scorecard, Business Strategy Scorecard, Recent Developments, Key Relationships)*

  • 13.1. INTRODUCTION
  • 13.2. SIEMENS AG
  • 13.3. INTEL CORPORATION
  • 13.4. NVIDIA CORPORATION
  • 13.5. ALPHABET INC.
  • 13.6. IBM CORPORATION
  • 13.7. MICROSOFT CORPORATION
  • 13.8. GENERAL ELECTRIC (GE) COMPANY
  • 13.9. DATARPM
  • 13.10. SIGHT MACHINE
  • 13.11. GENERAL VISION, INC.
  • 13.12. AIBRAIN
  • 13.13. ROCKWELL AUTOMATION INC.
  • 13.14. CISCO SYSTEMS, INC.
  • 13.15. MITSUBISHI ELECTRIC CORPORATION
  • 13.16. ORACLE CORPORATION
  • 13.17. SAP SE
  • 13.18. START-UP ECOSYSTEM
    • 13.18.1. PREFERRED NETWORKS, INC.
    • 13.18.2. VICARIOUS INC.
    • 13.18.3. SKYMIND, INC.
    • 13.18.4. CITRINE INFORMATICS
    • 13.18.5. CLOUDMINDS TECHNOLOGIES
    • 13.18.6. UBTECH ROBOTICS CORP.

*Details on Business Overview, Products Offered, Product Offering Scorecard, Business Strategy Scorecard, Recent Developments, Key Relationships might not be captured in case of unlisted companies.

14. APPENDIX

  • 14.1. INSIGHTS FROM INDUSTRY EXPERTS
  • 14.2. DISCUSSION GUIDE
  • 14.3. KNOWLEDGE STORE: MARKETSANDMARKETS' SUBSCRIPTION PORTAL
  • 14.4. INTRODUCING RT: REAL-TIME MARKET INTELLIGENCE
  • 14.5. AVAILABLE CUSTOMIZATIONS
  • 14.6. RELATED REPORTS
  • 14.7. AUTHOR DETAILS

LIST OF TABLES

  • TABLE 1: FUNDING IN AI IN MANUFACTURING 2012-2016
  • TABLE 2: AI IN MANUFACTURING MARKET, BY OFFERING, 2014-2023 (USD MILLION)
  • TABLE 3: AI IN MANUFACTURING MARKET, BY HARDWARE, 2014-2023 (USD MILLION)
  • TABLE 4: AI IN MANUFACTURING MARKET FOR HARDWARE, BY REGION, 2014-2023 (USD MILLION)
  • TABLE 5: AI IN MANUFACTURING MARKET FOR HARDWARE IN NORTH AMERICA, BY COUNTRY, 2014-2023 (USD MILLION)
  • TABLE 6: AI IN MANUFACTURING MARKET FOR HARDWARE IN EUROPE, BY COUNTRY, 2014-2023 (USD MILLION)
  • TABLE 7: AI IN MANUFACTURING MARKET FOR HARDWARE IN APAC, BY COUNTRY, 2014-2023 (USD MILLION)
  • TABLE 8: AI IN MANUFACTURING MARKET FOR HARDWARE IN ROW, BY COUNTRY, 2014-2023 (USD MILLION)
  • TABLE 9: AI IN MANUFACTURING MARKET FOR OFFERING, BY SOFTWARE, 2014-2023 (USD MILLION)
  • TABLE 10: AI IN MANUFACTURING MARKET FOR SOFTWARE, BY REGION, 2014-2023 (USD MILLION)
  • TABLE 11: AI IN MANUFACTURING MARKET FOR SOFTWARE IN NORTH AMERICA, BY COUNTRY, 2014-2023 (USD MILLION)
  • TABLE 12: AI IN MANUFACTURING MARKET FOR SOFTWARE IN EUROPE, BY COUNTRY, 2014-2023 (USD MILLION)
  • TABLE 13: AI IN MANUFACTURING MARKET FOR SOFTWARE IN APAC, BY COUNTRY, 2014-2023 (USD MILLION)
  • TABLE 14: AI IN MANUFACTURING MARKET FOR SOFTWARE IN ROW, BY COUNTRY, 2014-2023 (USD MILLION)
  • TABLE 15: AI IN MANUFACTURING MARKET, BY TECHNOLOGY, 2014-2023 (USD MILLION)
  • TABLE 16: AI IN MANUFACTURING MARKET FOR COMPUTER VISION, BY APPLICATION, 2014-2023 (USD MILLION)
  • TABLE 17: AI IN MANUFACTURING MARKET FOR DEEP LEARNING, BY PROCESS, 2014-2023 (USD MILLION)
  • TABLE 18: AI IN MANUFACTURING MARKET FOR DEEP LEARNING, BY APPLICATION, 2014-2023 (USD MILLION)
  • TABLE 19: AI IN MANUFACTURING MARKET FOR NLP, BY APPLICATION, 2014-2023 (USD MILLION)
  • TABLE 20: AI IN MANUFACTURING MARKET FOR CONTEXT AWARENESS, BY APPLICATION, 2014-2023 (USD MILLION)
  • TABLE 21: AI IN MANUFACTURING MARKET, BY APPLICATION, 2014-2023 (USD MILLION)
  • TABLE 22: AI IN MANUFACTURING MARKET FOR PREDICTIVE MAINTENANCE AND MACHINERY INSPECTION, BY REGION, 2014-2023 (USD MILLION)
  • TABLE 23: AI IN MANUFACTURING MARKET FOR PREDICTIVE MAINTENANCE AND MACHINERY INSPECTION, BY TECHNOLOGY, 2014-2023 (USD MILLION)
  • TABLE 24: AI IN MANUFACTURING MARKET FOR MATERIAL MOVEMENT, BY REGION, 2014-2023 (USD MILLION)
  • TABLE 25: AI IN MANUFACTURING MARKET FOR MATERIAL MOVEMENT, BY TECHNOLOGY, 2014-2023 (USD MILLION)
  • TABLE 26: AI IN MANUFACTURING MARKET FOR PRODUCTION PLANNING, BY REGION, 2014-2023 (USD MILLION)
  • TABLE 27: AI IN MANUFACTURING MARKET FOR PRODUCTION PLANNING, BY TECHNOLOGY, 2014-2023 (USD MILLION)
  • TABLE 28: AI IN MANUFACTURING MARKET FOR FIELD SERVICES, BY REGION, 2014-2023 (USD MILLION)
  • TABLE 29: AI IN MANUFACTURING MARKET FOR FIELD SERVICES, BY TECHNOLOGY, 2014-2023 (USD MILLION)
  • TABLE 30: AI IN MANUFACTURING MARKET FOR QUALITY CONTROL, BY REGION, 2014-2023 (USD MILLION)
  • TABLE 31: AI IN MANUFACTURING MARKET FOR QUALITY CONTROL, BY TECHNOLOGY, 2014-2023 (USD MILLION)
  • TABLE 32: AI IN MANUFACTURING MARKET FOR RECLAMATION, BY REGION, 2014-2023 (USD MILLION)
  • TABLE 33: AI IN MANUFACTURING MARKET FOR RECLAMATION, BY TECHNOLOGY, 2014-2023 (USD MILLION)
  • TABLE 34: AI IN MANUFACTURING MARKET, BY INDUSTRY, 2014-2023 (USD MILLION)
  • TABLE 35: AI IN MANUFACTURING MARKET FOR AUTOMOBILE, BY REGION, 2014-2023 (USD MILLION)
  • TABLE 36: AI IN MANUFACTURING MARKET FOR ENERGY AND POWER, BY REGION, 2014-2023 (USD MILLION)
  • TABLE 37: AI IN MANUFACTURING MARKET FOR PHARMACEUTICALS, BY REGION, 2014-2023 (USD MILLION)
  • TABLE 38: AI IN MANUFACTURING MARKET FOR HEAVY METALS AND MACHINE MANUFACTURING, BY REGION, 2014-2023 (USD MILLION)
  • TABLE 39: AI IN MANUFACTURING MARKET FOR SEMICONDUCTOR AND ELECTRONICS, BY REGION, 2014-2023 (USD MILLION)
  • TABLE 40: AI IN MANUFACTURING MARKET FOR FOOD AND BEVERAGES, BY REGION, 2014-2023 (USD MILLION)
  • TABLE 41: AI IN MANUFACTURING MARKET FOR OTHERS, BY REGION, 2014-2023 (USD MILLION)
  • TABLE 42: AI IN MANUFACTURING MARKET, BY REGION, 2014-2023 (USD MILLION)
  • TABLE 43: AI IN MANUFACTURING MARKET IN NORTH AMERICA, BY COUNTRY, 2014-2023 (USD MILLION)
  • TABLE 44: AI IN MANUFACTURING MARKET IN US, BY OFFERING, 2014-2023 (USD MILLION)
  • TABLE 45: AI IN MANUFACTURING MARKET IN CANADA, BY OFFERING, 2014-2023 (USD MILLION)
  • TABLE 46: AI IN MANUFACTURING MARKET IN MEXICO, BY OFFERING, 2014-2023 (USD MILLION)
  • TABLE 47: AI IN MANUFACTURING MARKET IN EUROPE, BY COUNTRY, 2014-2023 (USD MILLION)
  • TABLE 48: AI IN MANUFACTURING MARKET IN GERMANY, BY OFFERING, 2014-2023 (USD MILLION)
  • TABLE 49: AI IN MANUFACTURING MARKET IN FRANCE, BY OFFERING, 2014-2023 (USD MILLION)
  • TABLE 50: AI IN MANUFACTURING MARKET IN UK, BY OFFERING, 2014-2023 (USD MILLION)
  • TABLE 51: AI IN MANUFACTURING MARKET IN ROE, BY OFFERING, 2014-2023 (USD MILLION)
  • TABLE 52: AI IN MANUFACTURING MARKET IN APAC, BY COUNTRY, 2014-2023 (USD MILLION)
  • TABLE 53: AI IN MANUFACTURING MARKET IN CHINA, BY OFFERING, 2014-2023 (USD MILLION)
  • TABLE 54: AI IN MANUFACTURING MARKET IN JAPAN, BY OFFERING, 2014-2023 (USD MILLION)
  • TABLE 55: AI IN MANUFACTURING MARKET IN SOUTH KOREA, BY OFFERING, 2014-2023 (USD MILLION)
  • TABLE 56: AI IN MANUFACTURING MARKET IN INDIA, BY OFFERING, 2014-2023 (USD MILLION)
  • TABLE 57: AI IN MANUFACTURING MARKET IN REST OF APAC, BY OFFERING, 2014-2023 (USD MILLION)
  • TABLE 58: AI IN MANUFACTURING MARKET IN ROW, BY REGION, 2014-2023 (USD MILLION)
  • TABLE 59: AI IN MANUFACTURING MARKET IN SOUTH AMERICA, BY OFFERING, 2014-2023 (USD MILLION)
  • TABLE 60: AI IN MANUFACTURING MARKET IN MIDDLE EAST AND AFRICA, BY OFFERING, 2014-2023 (USD MILLION)
  • TABLE 61: TOP 5 PLAYERS IN AI IN MANUFACTURING MARKET, 2016

LIST OF FIGURES

  • FIGURE 1: AI IN MANUFACTURING MARKET: SEGMENTATION
  • FIGURE 2: AI IN MANUFACTURING MARKET: RESEARCH DESIGN
  • FIGURE 3: PROCESS FLOW OF MARKET SIZE ESTIMATION
  • FIGURE 4: MARKET SIZE ESTIMATION METHODOLOGY: BOTTOM-UP APPROACH
  • FIGURE 5: MARKET SIZE ESTIMATION METHODOLOGY: TOP-DOWN APPROACH
  • FIGURE 6: DATA TRIANGULATION
  • FIGURE 7: MANUFACTURING BUSINESS OUTLOOK INDEX IN US BETWEEN 2013 (FIRST QUARTER) AND 2017 (FIRST QUARTER)
  • FIGURE 8: GLOBAL INCREASE IN LABOR WAGES BETWEEN 2000 AND 2013
  • FIGURE 9: AI IN MANUFACTURING MARKET, BY OFFERING, 2016
  • FIGURE 10: AI IN MANUFACTURING MARKET, BY TECHNOLOGY, 2016
  • FIGURE 11: AI IN MANUFACTURING MARKET, BY APPLICATION, 2016
  • FIGURE 12: AI IN MANUFACTURING MARKET, BY INDUSTRY, 2016
  • FIGURE 13: AI IN MANUFACTURING MARKET, BY REGION, 2016
  • FIGURE 14: AI IN MANUFACTURING MARKET EXPECTED TO GROW AT HIGH CAGR BETWEEN 2017 AND 2023
  • FIGURE 15: SOFTWARE SEGMENT EXPECTED TO HAVE LARGEST SHARE OF AI IN MANUFACTURING MARKET DURING FORECAST PERIOD
  • FIGURE 16: COMPUTER VISION TECHNOLOGY HELD LARGEST SHARE OF AI IN MANUFACTURING MARKET IN 2016
  • FIGURE 17: PREDICTIVE MAINTENANCE AND MACHINERY INSPECTION APPLICATION HELD LARGEST SHARE OF AI IN MANUFACTURING MARKET IN 2016
  • FIGURE 18: ASIA PACIFIC EXPECTED TO GROW AT HIGHEST CAGR IN AI IN MANUFACTURING MARKET BETWEEN 2017 AND 2023
  • FIGURE 19: AI IN MANUFACTURING MARKET: DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES
  • FIGURE 20: VALUE CHAIN ANALYSIS OF AI IN MANUFACTURING
  • FIGURE 21: SOFTWARE TO HOLD LARGEST SHARE OF AI IN MANUFACTURING MARKET BY 2023
  • FIGURE 22: US TO HOLD THE LARGEST SHARE OF AI IN MANUFACTURING MARKET FOR HARDWARE IN NORTH AMERICA BY 2023
  • FIGURE 23: CHINA TO HOLD LARGEST SHARE OF AI IN MANUFACTURING MARKET FOR HARDWARE IN APAC BY 2023
  • FIGURE 24: AI PLATFORM EXPECTED TO GROW AT THE HIGHEST CAGR IN AI MANUFACTURING MARKET FOR SOFTWARE DURING 2017-2023
  • FIGURE 25: CHINA TO HOLD LARGEST SHARE OF AI IN MANUFACTURING FOR SOFTWARE IN APAC IN 2023
  • FIGURE 26: ARTIFICIAL INTELLIGENCE IN THE MANUFACTURING MARKET, BY TECHNOLOGY
  • FIGURE 27: DEEP LEARNING EXPECTED TO BE FASTEST-GROWING TECHNOLOGY IN AI IN MANUFACTURING MARKET BETWEEN 2017 AND 2023
  • FIGURE 28: QUALITY CONTROL EXPECTED TO BE FASTEST-GROWING APPLICATION IN AI IN MANUFACTURING MARKET FOR DEEP LEARNING TECHNOLOGY BETWEEN 2017 AND 2023
  • FIGURE 29: PREDICTIVE MAINTENANCE AND MACHINERY INSPECTION APPLICATION IS EXPECTED TO HOLD LARGEST SHARE OF AI IN MANUFACTURING MARKET BY 2023
  • FIGURE 30: NORTH AMERICA HAD LARGEST SHARE OF AI IN MANUFACTURING MARKET FOR MATERIAL MOVEMENT IN 2016
  • FIGURE 31: NORTH AMERICA HAD THE LARGEST SHARE FOR FIELD SERVICES IN 2016
  • FIGURE 32: DEEP LEARNING IS EXPECTED TO EXPERIENCE THE FASTEST GROWTH IN QUALITY CONTROL DURING 2017-2023
  • FIGURE 33: AUTOMOBILE HELD LARGEST SHARE OF AI IN MANUFACTURING MARKET IN 2016
  • FIGURE 34: NORTH AMERICA EXPECTED TO HOLD LARGEST SHARE OF AI IN MANUFACTURING FOR ENERGY AND POWER BY 2023
  • FIGURE 35: APAC EXPECTED TO EXPERIENCE FASTEST GROWTH IN AI IN MANUFACTURING MARKET FOR HEAVY METALS AND MACHINE MANUFACTURING DURING THE FORECAST PERIOD
  • FIGURE 36: EUROPE TO HOLD LARGEST SHARE OF AI IN MANUFACTURING FOR FOOD AND BEVERAGES BY 2023
  • FIGURE 37: AI IN MANUFACTURING MARKET SEGMENTATION, BY REGION
  • FIGURE 38: NORTH AMERICA EXPECTED TO DOMINATE AI IN MANUFACTURING MARKET DURING FORECAST PERIOD
  • FIGURE 39: SNAPSHOT: AI IN MANUFACTURING MARKET IN NORTH AMERICA
  • FIGURE 40: SOFTWARE SEGMENT EXPECTED TO LEAD AI IN MANUFACTURING MARKET BASED ON OFFERINGS IN US DURING THE FORECAST PERIOD
  • FIGURE 41: SNAPSHOT: AI IN MANUFACTURING MARKET IN EUROPE
  • FIGURE 42: GERMANY EXPECTED TO DOMINATE AI IN MANUFACTURING MARKET IN EUROPE DURING FORECAST PERIOD
  • FIGURE 43: SOFTWARE SEGMENT TO LEAD AI IN MANUFACTURING MARKET IN UK DURING FORECAST PERIOD
  • FIGURE 44: SNAPSHOT: AI IN MANUFACTURING MARKET IN APAC
  • FIGURE 45: HARDWARE SEGMENT EXPECTED TO GROW AT HIGHEST CAGR IN AI IN MANUFACTURING MARKET IN JAPAN DURING 2017-2023
  • FIGURE 46: HARDWARE SEGMENT TO GROW AT HIGHEST CAGR IN AI IN MANUFACTURING MARKET IN SOUTH AMERICA DURING 2017-2023
  • FIGURE 47: SIEMENS AG: COMPANY SNAPSHOT (2016)
  • FIGURE 48: INTEL CORPORATION: COMPANY SNAPSHOT (2016)
  • FIGURE 49: NVIDIA CORPORATION: COMPANY SNAPSHOT (2016)
  • FIGURE 50: ALPHABET INC.: COMPANY SNAPSHOT (2016)
  • FIGURE 51: IBM CORPORATION: COMPANY SNAPSHOT (2016)
  • FIGURE 52: MICROSOFT CORPORATION: COMPANY SNAPSHOT (2016)
  • FIGURE 53: GENERAL ELECTRIC COMPANY: COMPANY SNAPSHOT (2016)
  • FIGURE 54: ROCKWELL AUTOMATION INC.: COMPANY SNAPSHOT(2016)
  • FIGURE 55: CISCO SYSTEMS, INC.: COMPANY SNAPSHOT (2016)
  • FIGURE 56: MITSUBISHI ELECTRIC CORPORATION: COMPANY SNAPSHOT (2016)
  • FIGURE 57: ORACLE CORPORATION: COMPANY SNAPSHOT (2016)
  • FIGURE 58: SAP SE: COMPANY SNAPSHOT (2016)
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