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製造業における人工知能の世界市場：オファリング別、技術別、用途別、業界別、地域別 -2028年までの予測

Artificial Intelligence in Manufacturing Market by Offering (Hardware, Software, Services), Technology (Machine Learning, Natural Language Processing), Application (Predictive Maintenance & Machinery Inspection, Cybersecurity) - Global Forecast to 2028
出版日: | 発行: MarketsandMarkets | ページ情報: 英文 281 Pages | 納期: 即納可能 即納可能とは

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製造業における人工知能の世界市場：オファリング別、技術別、用途別、業界別、地域別 -2028年までの予測
出版日: 2023年09月25日
発行: MarketsandMarkets
ページ情報: 英文 281 Pages
納期: 即納可能 即納可能とは
  • 全表示
  • 概要
  • 目次
概要

製造業における人工知能の市場規模は、2023年の32億米ドルから2028年には208億米ドルに達し、2023年から2028年までのCAGRは45.6％になると予測されています。

同市場の成長は、ますます大規模で複雑なデータセットを処理するニーズの高まりと、産業用IoTおよび自動化技術の台頭によるものです。

機械学習には、深層学習、教師あり学習、教師なし学習、強化学習などの様々な技術が含まれます。機械学習は、システムが経験によって自動的にパフォーマンスを向上させることを可能にします。機械学習は、データにアクセスし、それを使って人間の介入なしに自己学習できるコンピュータープログラム／アルゴリズムの開発を支援します。機械学習がビッグデータを収集・処理する能力を持ち、予測分析、機械検査、品質管理、サイバーセキュリティへの応用が拡大していることが、機械学習技術の製造業における人工知能市場の成長を促進すると予想されます。

AI主導の品質管理システムは、製造プロセス中の製品特性の逸脱を特定するために工場のオペレータに力を与えます。これらの品質管理は、レーザーベースの集計スキャンシステムを通じて3次元（3D）と2次元（2D）の両方のデータを収集し、このデータをデジタル画像に変換することに依存します。製造工場内のこれらの品質管理アプリケーションに適用されるコア技術は、機械学習、コンピュータビジョン、およびコンテキスト認識コンピューティングを包含しています。この堅牢な品質管理フレームワークは、工場のオペレーターが製品の品質を検証する際に役立ち、医薬品、飲食品、半導体などの産業で幅広く応用されています。

コンピュータシステムが人間の脳のような知的能力を発揮するには、非常に効果的で効率的なハードウェアとソフトウェアが必要です。様々な産業でAIソリューションやプラットフォームの採用が進み、製造業でのAIの応用範囲が広がっていることが、ソフトウェア分野の製造業における人工知能市場の成長を促す主な要因となっています。

アジア太平洋は、中国、日本、韓国など、急成長を遂げている経済圏で構成されています。中国はアジア太平洋の重要な製造拠点です。同国はアジア太平洋における人工知能開発の中心的存在であり、データアクセシビリティと政策支援に強みを持ちます。中国の製造部門は急速に成長しており、その結果、新しいロボット工学やビッグデータ技術が導入されています。これらの要因はすべて、中国に多数の製造工場が存在することと相まって、製造データ量を増加させると予想されます。さらに、中国政府は製造業におけるAI技術の採用を奨励する取り組みを進めています。

当レポートでは、世界の製造業における人工知能市場について調査し、オファリング別、技術別、用途別、業界別、地域別動向、および市場に参入する企業のプロファイルなどをまとめています。

目次

第1章 イントロダクション

第2章 調査手法

第3章 エグゼクティブサマリー

第4章 重要考察

第5章 市場概要

  • イントロダクション
  • 市場力学
  • バリューチェーン分析
  • 生態系マッピング
  • 顧客のビジネスに影響を与える動向/混乱
  • ポーターのファイブフォース分析
  • ケーススタディ分析
  • 技術分析
  • 価格分析
  • 貿易分析
  • 特許分析
  • 主要な利害関係者と購入基準
  • 2023年～2025年の主要な会議とイベント
  • 規制状況

第6章 製造業における人工知能市場、オファリング別

  • イントロダクション
  • ハードウェア
  • ソフトウェア
  • サービス

第7章 製造業における人工知能市場、技術別

  • イントロダクション
  • 機械学習
  • 自然言語処理
  • コンテキストアウェアコンピューティング
  • コンピュータビジョン

第8章 製造業における人工知能市場、用途別

  • イントロダクション
  • 在庫の最適化
  • 予知保全と機械検査
  • 生産計画
  • フィールドサービス
  • 埋め立て
  • 品質管理
  • サイバーセキュリティ
  • 産業用ロボット

第9章 製造業における人工知能市場、業界別

  • イントロダクション
  • 自動車
  • エネルギーと電力
  • 医薬品
  • 金属と重機械
  • 半導体とエレクトロニクス
  • 食品・飲料
  • その他

第10章 製造業における人工知能市場、地域別

  • イントロダクション
  • 北米
  • 欧州
  • アジア太平洋
  • その他の地域

第11章 競合情勢

  • イントロダクション
  • 主要企業が採用した主な戦略
  • 主要5社の収益分析
  • 市場シェア分析
  • 企業評価マトリックス、2022年
  • 製造業における人工知能市場：企業のフットプリント
  • 中小企業（SMES）の評価マトリックス、2022年
  • 競合ベンチマーキング
  • 競合状況・動向

第12章 企業プロファイル

  • 主要参入企業
    • NVIDIA CORPORATION
    • IBM（INTERNATIONAL BUSINESS MACHINES CORPORATION）
    • INTEL CORPORATION
    • SIEMENS
    • GENERAL ELECTRIC
    • GOOGLE LLC
    • MICROSOFT
    • MICRON TECHNOLOGY, INC.
    • AMAZON WEB SERVICES, INC.（AWS）
    • SIGHT MACHINE
  • その他の企業
    • PROGRESS SOFTWARE CORPORATION（DATARPM）
    • AIBRAIN INC.
    • GENERAL VISION INC.
    • ROCKWELL AUTOMATION
    • CISCO SYSTEMS, INC.
    • MITSUBISHI ELECTRIC CORPORATION
    • ORACLE
    • SAP
    • VICARIOUS
    • UBTECH ROBOTICS CORP LTD
    • AQUANT
    • BRIGHT MACHINES, INC.
    • RETHINK ROBOTICS GMBH
    • SPARKCOGNITION
    • FLUTURA

第13章 隣接市場

第14章 付録

目次
Product Code: SE 5470

The artificial intelligence in manufacturing market is expected to reach USD 20.8 billion by 2028 from USD 3.2 billion in 2023, at a CAGR of 45.6% from 2023-2028. The growth of this market is attributed to the Rising need to handle increasingly large and complex dataset and emerging industrial IoT and automation technologies.

"Machine learning technology segment to dominate the artificial intelligence in manufacrturing market in 2023"

Machine Learning includes various technologies, such as deep learning, supervised learning, unsupervised learning, and reinforcement learning. Machine learning enables systems to improve their performance automatically with experience. Machine Learning helps develop a computer program/algorithm that can access data and use it to train itself without human intervention. The ability of Machine Learning to collect and handle big data and its increasing applications in predictive analytics and machinery inspection, quality control, and cybersecurity are expected to drive the growth of the artificial intelligence in manufacturing market for Machine Learning technology.

"Quality control segment is projected to grow at a highest CAGR during the forecast period."

AI-driven quality control systems empower plant operators to identify deviations in product properties during the manufacturing process. These quality control applications depend on gathering both three-dimensional (3D) and two-dimensional (2D) data through laser-based aggregate scanning systems, which subsequently transform this data into digital images. The core technologies applied in these quality control applications within manufacturing plants encompass machine learning, computer vision, and context-aware computing. This robust quality control framework aids plant operators in validating the product quality, and it finds extensive application in industries such as pharmaceuticals, food and beverages, as well as semiconductors."Software segment hold the largest market share during the forecast period"

A computer system needs highly effective and efficient hardware and software to exhibit intelligent capabilities like the human brain. The growing adoption of AI solutions and platforms in various industries and the widening application scope of AI in the manufacturing sector are the prime factors driving the growth of the artificial intelligence in manufacturing market for the software segment.

"China is to dominate the artificial intelligence in manufacrturing market of Asia Pacific in 2023"

Asia Pacific consists of some of the fastest-growing economies-such as China, Japan, and South Korea. China is a key manufacturing hub in the Asia Pacific region. The country is a major force of artificial intelligence development in Asia Pacific, with strengths in data accessibility and policy support. The manufacturing sector in China is growing rapidly, resulting in the introduction of new robotics and big data technologies. All these factors, coupled with the presence of a large number of manufacturing plants in China, are expected to increase the manufacturing data volume. Moreover, the government of China is undertaking initiatives to encourage the adoption of AI technologies in manufacturing

The break-up of the profiles of primary participants:

  • By Company Type - Tier 1 - 55%, Tier 2 - 25%, and Tier 3 - 20%
  • By Designation - C-level Executives - 60%, Directors - 20%, and Others - 20%
  • By Region - North America - 40%, Europe - 30%, Asia Pacific - 20%, and Rest of the World - 10%

Major players in the artificial intelligence in manufacturing market include Siemens, IBM, Intel Corporation, NVIDIA Corporation, and General Electric and others.

Research Coverage

The report segments the artificial intelligence in manufacturing market by Offering, Technology, Application, Industry, and Region. The report also comprehensively reviews drivers, restraints, opportunities, and challenges influencing market growth. The report also covers qualitative aspects in addition to the quantitative aspects of the market.

Reasons to buy the report:

The report will help the market leaders/new entrants with information on the closest approximate revenues for the overall artificial intelligence in manufacturing market and related segments. This report will help stakeholders understand the competitive landscape and gain more insights to strengthen their position in the market and plan suitable go-to-market strategies. The report also helps stakeholders understand the market pulse and provides information on key market drivers, restraints, opportunities, and challenges.

The report provides insights on the following pointers:

  • Analysis of critical drivers (Rising need to handle increasingly large and complex dataset, emerging industrial IoT and automation technology, surging adoption of AI fuiling growth of semiconductor chipset manufacturing, growing investment propelling growth of start-ups in manufacturing AI space), restraints (Reluctance among manufacturers to adopt AI-based technologies), opportunities (enhance manufacturing efficiency through AI-powered predictive analytics and production planning, application of AI-driven machine learning and NLP for intelligent enterprise processes), and challenges (lack of skilled workforce, especially in developing countries and concerns regarding data privacy and cybersecurity regulations) influencing the growth of the artificial intelligence in manufacturing market.
  • Product Development/Innovation: Detailed insights on upcoming technologies, research and development activities, and new product launches in the artificial intelligence in manufacturing market.
  • Market Development: Comprehensive information about lucrative markets - the report analyses the artificial intelligence in manufacturing market across various regions.
  • Market Diversification: Exhaustive information about new products, untapped geographies, recent developments, and investments in the artificial intelligence in manufacturing market.
  • Competitive Assessment: In-depth assessment of market shares, growth strategies, and product offerings of leading players like Siemens (Germany), IBM (US), Intel Corporation (US), NVIDIA Corporation (US), and General Electric Company (US).

TABLE OF CONTENTS

1 INTRODUCTION

  • 1.1 STUDY OBJECTIVES
  • 1.2 MARKET DEFINITION
    • 1.2.1 INCLUSIONS AND EXCLUSIONS
  • 1.3 STUDY SCOPE
    • 1.3.1 MARKETS COVERED
    • 1.3.2 REGIONAL SCOPE
    • 1.3.3 YEARS CONSIDERED
  • 1.4 CURRENCY CONSIDERED
  • 1.5 STAKEHOLDERS
  • 1.6 SUMMARY OF CHANGES….
    • 1.6.1 RECESSION IMPACT ANALYSIS

2 RESEARCH METHODOLOGY

  • 2.1 RESEARCH DATA
    • FIGURE 1 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET: RESEARCH DESIGN
    • 2.1.1 SECONDARY DATA
      • 2.1.1.1 List of major secondary sources
      • 2.1.1.2 Key data from secondary sources
    • 2.1.2 PRIMARY DATA
      • 2.1.2.1 Primary interviews with experts
      • 2.1.2.2 Breakdown of primaries
      • 2.1.2.3 Key data from primary sources
    • 2.1.3 SECONDARY AND PRIMARY RESEARCH
      • 2.1.3.1 Key industry insights
  • 2.2 MARKET SIZE ESTIMATION
    • 2.2.1 BOTTOM-UP APPROACH
      • 2.2.1.1 Approach to derive market size using bottom-up analysis
    • FIGURE 2 MARKET SIZE ESTIMATION METHODOLOGY: BOTTOM-UP APPROACH
    • 2.2.2 TOP-DOWN APPROACH
      • 2.2.2.1 Approach to derive market size using bottom-up analysis
    • FIGURE 3 MARKET SIZE ESTIMATION METHODOLOGY: TOP-DOWN APPROACH
    • FIGURE 4 MARKET SIZE ESTIMATION METHODOLOGY (SUPPLY SIDE APPROACH)
  • 2.3 MARKET BREAKDOWN AND DATA TRIANGULATION
    • FIGURE 5 DATA TRIANGULATION
  • 2.4 RESEARCH ASSUMPTIONS
    • FIGURE 6 ASSUMPTIONS FOR RESEARCH STUDY
  • 2.5 PARAMETERS CONSIDERED TO ANALYZE IMPACT OF RECESSION ON ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET
  • 2.6 RESEARCH LIMITATIONS
  • 2.7 RISK ASSESSMENT
    • FIGURE 7 RISK ASSESSMENT OF RESEARCH STUDY

3 EXECUTIVE SUMMARY

    • FIGURE 8 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, 2019-2028 (USD MILLION)
    • FIGURE 9 SOFTWARE OFFERINGS TO CAPTURE LARGEST SHARE OF ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET IN 2028
    • FIGURE 10 MACHINE LEARNING TECHNOLOGY TO HOLD LARGEST SHARE OF ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET IN 2028
    • FIGURE 11 PREDICTIVE MAINTENANCE AND MACHINERY INSPECTION APPLICATION TO HOLD LARGEST SHARE OF ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET IN 2023
    • FIGURE 12 AUTOMOTIVE INDUSTRY ACCOUNTED FOR LARGEST SHARE OF ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET IN 2022
    • FIGURE 13 ASIA PACIFIC TO REGISTER HIGHEST CAGR IN ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET DURING FORECAST PERIOD

4 PREMIUM INSIGHTS

  • 4.1 ATTRACTIVE OPPORTUNITIES FOR PLAYERS IN ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET
    • FIGURE 14 RISING ADOPTION OF IIOT AND AUTOMATION TECHNOLOGY BY MANUFACTURING FIRMS TO DRIVE MARKET GROWTH
  • 4.2 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY OFFERING
    • FIGURE 15 SOFTWARE SEGMENT TO HOLD LARGEST SHARE OF ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET IN 2023
  • 4.3 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY TECHNOLOGY
    • FIGURE 16 MACHINE LEARNING SEGMENT TO HOLD LARGEST SHARE OF ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET IN 2023
  • 4.4 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY APPLICATION
    • FIGURE 17 PREDICTIVE MAINTENANCE & MACHINERY INSPECTION SEGMENT TO HOLD LARGEST SHARE OF ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET IN 2023
  • 4.5 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY INDUSTRY
    • FIGURE 18 AUTOMOTIVE SEGMENT HELD LARGEST SHARE OF ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET IN ASIA PACIFIC IN 2022
  • 4.6 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY COUNTRY
    • FIGURE 19 CHINA TO REGISTER HIGHEST CAGR IN ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET BETWEEN 2023 AND 2028

5 MARKET OVERVIEW

  • 5.1 INTRODUCTION
  • 5.2 MARKET DYNAMICS
    • FIGURE 20 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET DYNAMICS
    • 5.2.1 DRIVERS
      • 5.2.1.1 Pressing need to handle large and complex datasets effectively
      • 5.2.1.2 Rising adoption of IIoT and automation technologies by manufacturing firms
      • 5.2.1.3 Thriving semiconductor chipset industry due to increasing adoption of AI technology
      • 5.2.1.4 Growing venture capital and seed funding opportunities for startups entering in AI-driven manufacturing
    • FIGURE 21 IMPACT ANALYSIS OF DRIVERS
    • 5.2.2 RESTRAINTS
      • 5.2.2.1 Reluctance among manufacturers to adopt AI-based technologies
    • FIGURE 22 IMPACT ANALYSIS OF RESTRAINTS
    • 5.2.3 OPPORTUNITIES
      • 5.2.3.1 Utilization of AI-powered predictive analytics and production planning apps to enhance manufacturing efficiency
      • 5.2.3.2 Execution of ML and NLP to automate and upgrade business processes
    • FIGURE 23 IMPACT ANALYSIS OF OPPORTUNITIES
    • 5.2.4 CHALLENGES
      • 5.2.4.1 Shortage of skilled workforce, especially in developing countries
      • 5.2.4.2 Concerns regarding data privacy and stringent data security regulations
    • FIGURE 24 IMPACT ANALYSIS OF CHALLENGES
  • 5.3 VALUE CHAIN ANALYSIS
    • FIGURE 25 ARTIFICIAL INTELLIGENCE IN MANUFACTURING VALUE CHAIN ANALYSIS
  • 5.4 ECOSYSTEM MAPPING
    • FIGURE 26 ECOSYSTEM ANALYSIS
    • TABLE 1 ROLE OF MAJOR COMPANIES IN ECOSYSTEM
  • 5.5 TRENDS/DISRUPTIONS IMPACTING CUSTOMER BUSINESS
    • FIGURE 27 TRENDS/DISRUPTIONS IMPACTING CUSTOMER BUSINESS
  • 5.6 PORTER'S FIVE FORCES ANALYSIS
    • FIGURE 28 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET: PORTER'S FIVE FORCES ANALYSIS
    • TABLE 2 IMPACT OF EACH FORCE ON AI IN MANUFACTURING MARKET
    • 5.6.1 BARGAINING POWER OF SUPPLIERS
    • 5.6.2 BARGAINING POWER OF BUYERS
    • 5.6.3 THREAT OF NEW ENTRANTS
    • 5.6.4 THREAT OF SUBSTITUTES
    • 5.6.5 INTENSITY OF COMPETITIVE RIVALRY
  • 5.7 CASE STUDY ANALYSIS
    • TABLE 3 SIEMENS GAMESA DEPLOYED AI SOLUTION TO ACCELERATE INSPECTION SPEED OF TURBINE BLADES
    • TABLE 4 VOLVO ADOPTED MACHINE LEARNING-DRIVEN DATA ANALYTICS TO PREDICT VEHICLE BREAKDOWN AND IMPROVE SERVICE
    • TABLE 5 ROLLS-ROYCE CHOSE MICROSOFT CORTANA TO SCHEDULE MAINTENANCE PLANS AND REDUCE OPERATIONAL DISRUPTIONS
    • TABLE 6 PAPER PACKAGING FIRM IMPLEMENTED EMA APPLICATION SUITE TO IMPROVE PRODUCTION PROCESS AND DIAGNOSE QUALITY ISSUES
  • 5.8 TECHNOLOGY ANALYSIS
  • 5.9 PRICING ANALYSIS
    • 5.9.1 AVERAGE SELLING PRICE OF PROCESSORS OFFERED BY KEY PLAYERS
    • FIGURE 29 AVERAGE SELLING PRICE OF KEY PLAYERS, BY PROCESSOR TYPE
    • TABLE 7 AVERAGE SELLING PRICE OF PROCESSORS OFFERED BY KEY PLAYERS, BY TYPE
    • 5.9.2 AVERAGE SELLING PRICE TREND OF PROCESSORS, BY TYPE
    • TABLE 8 AVERAGE SELLING PRICE OF PROCESSORS, 2022 (USD)
    • TABLE 9 AVERAGE SELLING PRICE OF PROCESSORS USED IN AI-BASED MANUFACTURING, BY REGION, 2022
    • FIGURE 30 AVERAGE SELLING PRICE OF PROCESSORS, 2019-2028 (USD)
  • 5.10 TRADE ANALYSIS
    • 5.10.1 IMPORT SCENARIO
    • FIGURE 31 IMPORT VALUES, BY KEY COUNTRY, 2018-2022 (USD MILLION)
    • 5.10.2 EXPORT SCENARIO
    • FIGURE 32 EXPORT VALUES, BY KEY COUNTRY, 2018-2022 (USD MILLION)
  • 5.11 PATENT ANALYSIS
    • FIGURE 33 TOP 10 COMPANIES WITH HIGHEST NUMBER OF PATENT APPLICATIONS IN LAST 10 YEARS
    • TABLE 10 TOP 20 PATENT OWNERS IN US IN LAST 10 YEARS
    • FIGURE 34 NUMBER OF PATENTS GRANTED PER YEAR FROM 2013 TO 2022
    • TABLE 11 RECENT PATENTS RELATED TO ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET
  • 5.12 KEY STAKEHOLDERS AND BUYING CRITERIA
    • 5.12.1 KEY STAKEHOLDERS IN BUYING PROCESS
    • FIGURE 35 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP 3 APPLICATIONS
    • TABLE 12 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP 3 APPLICATIONS (%)
    • 5.12.2 BUYING CRITERIA
    • FIGURE 36 KEY BUYING CRITERIA FOR TOP 3 APPLICATIONS
    • TABLE 13 KEY BUYING CRITERIA FOR TOP 3 APPLICATIONS
  • 5.13 KEY CONFERENCES AND EVENTS, 2023-2025
    • TABLE 14 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET: CONFERENCES AND EVENTS
  • 5.14 REGULATORY LANDSCAPE
    • 5.14.1 REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
    • TABLE 15 NORTH AMERICA: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
    • TABLE 16 EUROPE: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
    • TABLE 17 ASIA PACIFIC: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
    • TABLE 18 ROW: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
    • 5.14.2 STANDARDS IN ITS/C-ITS
    • TABLE 19 SECURITY AND PRIVACY STANDARDS DEVELOPED BY EUROPEAN TELECOMMUNICATION STANDARDS INSTITUTE (ETSI)

6 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY OFFERING

  • 6.1 INTRODUCTION
    • FIGURE 37 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY OFFERING
    • FIGURE 38 SOFTWARE SEGMENT TO HOLD LARGEST SHARE OF ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET IN 2028
    • TABLE 20 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY OFFERING, 2019-2022 (USD MILLION)
    • TABLE 21 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY OFFERING, 2023-2028 (USD MILLION)
  • 6.2 HARDWARE
    • TABLE 22 HARDWARE: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY TYPE, 2019-2022 (USD MILLION)
    • TABLE 23 HARDWARE: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY TYPE, 2023-2028 (USD MILLION)
    • 6.2.1 PROCESSORS
      • 6.2.1.1 Robust parallel processing capabilities of processors to foster adoption in AI applications
        • 6.2.1.1.1 Microprocessor units (MPUs)
        • 6.2.1.1.2 Graphics processing units (GPUs)
        • 6.2.1.1.3 Field programmable gate array (FPGA)
        • 6.2.1.1.4 Application-specific integrated circuits (ASICs)
    • 6.2.2 MEMORY DEVICES
      • 6.2.2.1 High demand for high-bandwidth memory devices to drive market
    • 6.2.3 NETWORK DEVICES
      • 6.2.3.1 Increased implementation of Ethernet adaptors and interconnects to create opportunities for network device providers
  • 6.3 SOFTWARE
    • TABLE 24 SOFTWARE: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY TYPE, 2019-2022 (USD MILLION)
    • TABLE 25 SOFTWARE: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY TYPE, 2023-2028 (USD MILLION)
    • 6.3.1 AI SOLUTIONS
      • 6.3.1.1 Rising use of nonprocedural languages to develop AI solutions to boost segmental growth
    • TABLE 26 AI SOLUTIONS: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY DEPLOYMENT TYPE, 2019-2022 (USD MILLION)
    • TABLE 27 AI SOLUTIONS: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY DEPLOYMENT TYPE, 2023-2028 (USD MILLION)
      • 6.3.1.2 On-premises
        • 6.3.1.2.1 Greater flexibility and control offered by on-premises AI solutions to fuel segmental growth
      • 6.3.1.3 Cloud
        • 6.3.1.3.1 Reduced operational costs, hassle-free deployment, and high scalability provided by cloud deployment model to drive segmental growth
    • 6.3.2 AI PLATFORMS
      • 6.3.2.1 Increasing adoption of AI platforms to develop learning algorithms and intelligent applications to support segmental growth
    • TABLE 28 AI PLATFORMS: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY PLATFORM TYPE, 2019-2022 (USD MILLION)
    • TABLE 29 AI PLATFORMS: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY PLATFORM TYPE, 2023-2028 (USD MILLION)
      • 6.3.2.2 Machine learning framework
      • 6.3.2.3 Application program interface (API)
  • 6.4 SERVICES
    • TABLE 30 SERVICES: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY TYPE, 2019-2022 (USD MILLION)
    • TABLE 31 SERVICES: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY TYPE, 2023-2028 (USD MILLION)
    • 6.4.1 DEPLOYMENT & INTEGRATION
      • 6.4.1.1 Growing demand for deployment and integration services while configuring AI systems in manufacturing sector to drive market
    • 6.4.2 SUPPORT & MAINTENANCE
      • 6.4.2.1 Increasing demand for support & maintenance services to keep systems at acceptable standards to fuel market growth

7 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY TECHNOLOGY

  • 7.1 INTRODUCTION
    • FIGURE 39 MACHINE LEARNING TECHNOLOGY TO HOLD LARGEST SHARE OF ARTIFICIAL INTELLIGENCE IN MANUFACTURING IN 2028
    • TABLE 32 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY TECHNOLOGY, 2019-2022 (USD MILLION)
    • TABLE 33 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY TECHNOLOGY, 2023-2028 (USD MILLION)
  • 7.2 MACHINE LEARNING
    • 7.2.1 ADVANCEMENTS IN DEEP LEARNING, SUPERVISED LEARNING, AND REINFORCEMENT LEARNING TECHNOLOGIES TO DRIVE MARKET
    • TABLE 34 MACHINE LEARNING: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY TYPE, 2019-2022 (USD MILLION)
    • TABLE 35 MACHINE LEARNING: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY TYPE, 2023-2028 (USD MILLION)
    • TABLE 36 MACHINE LEARNING: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY APPLICATION, 2019-2022 (USD MILLION)
    • TABLE 37 MACHINE LEARNING: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY APPLICATION, 2023-2028 (USD MILLION)
    • 7.2.2 DEEP LEARNING
      • 7.2.2.1 Growing penetration of IoT, automation, and machine vision technologies in manufacturing plants to drive market
    • 7.2.3 SUPERVISED LEARNING
      • 7.2.3.1 Image recognition, facial recognition, and predictive analytics to contribute to market growth
    • 7.2.4 REINFORCEMENT LEARNING
      • 7.2.4.1 Potential to automatically determine context-specific ideal behavior to maximize performance to drive market
    • 7.2.5 UNSUPERVISED LEARNING
      • 7.2.5.1 Use of algorithms to find hidden data patterns or groupings in large datasets to boost adoption of unsupervised learning technology
    • 7.2.6 OTHER TECHNOLOGY TYPES
  • 7.3 NATURAL LANGUAGE PROCESSING
    • 7.3.1 RISING USE OF NLP-DRIVEN TOOLS TO AUTOMATE COMPLEX BUSINESS PROCESSES TO DRIVE MARKET
    • TABLE 38 NATURAL LANGUAGE PROCESSING: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY APPLICATION, 2019-2022 (USD MILLION)
    • TABLE 39 NATURAL LANGUAGE PROCESSING: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY APPLICATION, 2023-2028 (USD MILLION)
  • 7.4 CONTEXT-AWARE COMPUTING
    • 7.4.1 INCREASING FOCUS ON MAKING REAL-TIME DECISIONS TO ENHANCE QUALITY, SAFETY, AND PRODUCTIVITY TO BOOST DEMAND IN MANUFACTURING SECTOR
    • TABLE 40 CONTEXT-AWARE COMPUTING: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY TYPE, 2019-2022 (USD MILLION)
    • TABLE 41 CONTEXT-AWARE COMPUTING: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY TYPE, 2023-2028 (USD MILLION)
    • TABLE 42 CONTEXT-AWARE COMPUTING: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY APPLICATION, 2019-2022 (USD MILLION)
    • TABLE 43 CONTEXT-AWARE COMPUTING: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY APPLICATION, 2023-2028 (USD MILLION)
  • 7.5 COMPUTER VISION
    • 7.5.1 INTEGRATION OF COMPUTER VISION TECHNOLOGY TO ANALYZE 3D OBJECTS AND MINIMIZE MATERIAL WASTE TO DRIVE MARKET
    • TABLE 44 COMPUTER VISION: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY APPLICATION, 2019-2022 (USD MILLION)
    • TABLE 45 COMPUTER VISION: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY APPLICATION, 2023-2028 (USD MILLION)

8 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY APPLICATION

  • 8.1 INTRODUCTION
    • FIGURE 40 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY APPLICATION
    • FIGURE 41 PREDICTIVE MAINTENANCE & MACHINERY INSPECTION SEGMENT TO HOLD LARGEST MARKET SHARE IN 2023
    • TABLE 46 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY APPLICATION, 2019-2022 (USD MILLION)
    • TABLE 47 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY APPLICATION, 2023-2028 (USD MILLION)
  • 8.2 INVENTORY OPTIMIZATION
    • 8.2.1 GROWING IMPLEMENTATION OF AI IN MANUFACTURING SECTOR TO ACHIEVE COST-EFFICIENCY AND ENSURE TIMELY PRODUCT DELIVERY TO DRIVE MARKET
    • TABLE 48 INVENTORY OPTIMIZATION: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY TECHNOLOGY, 2019-2022 (USD MILLION)
    • TABLE 49 INVENTORY OPTIMIZATION: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY TECHNOLOGY, 2023-2028 (USD MILLION)
    • TABLE 50 INVENTORY OPTIMIZATION: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION, 2019-2022 (USD MILLION)
    • TABLE 51 INVENTORY OPTIMIZATION: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION, 2023-2028 (USD MILLION)
  • 8.3 PREDICTIVE MAINTENANCE & MACHINERY INSPECTION
    • 8.3.1 INCREASING ADOPTION OF LEARNING TECHNOLOGY TO PREVENT UNEXPECTED DOWNTIME DUE TO MACHINE FAILURE TO FUEL MARKET GROWTH
    • FIGURE 42 MACHINE LEARNING TECHNOLOGY TO DOMINATE MARKET FOR PREDICTIVE MAINTENANCE & MACHINERY INSPECTION APPLICATIONS DURING FORECAST PERIOD
    • TABLE 52 PREDICTIVE MAINTENANCE & MACHINERY INSPECTION: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY TECHNOLOGY, 2019-2022 (USD MILLION)
    • TABLE 53 PREDICTIVE MAINTENANCE & MACHINERY INSPECTION: ARTIFICIAL INTELLIGENCE IN MANUFACTURING, BY TECHNOLOGY, 2023-2028 (USD MILLION)
    • TABLE 54 PREDICTIVE MAINTENANCE & MACHINERY INSPECTION: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION, 2019-2022 (USD MILLION)
    • TABLE 55 PREDICTIVE MAINTENANCE & MACHINERY INSPECTION: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION, 2023-2028 (USD MILLION)
  • 8.4 PRODUCTION PLANNING
    • 8.4.1 RISING USE OF BIG DATA ANALYTICS IN PRODUCTION PLANNING TO FOSTER MARKET GROWTH
    • TABLE 56 PRODUCTION PLANNING: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY TECHNOLOGY, 2019-2022 (USD MILLION)
    • TABLE 57 PRODUCTION PLANNING: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY TECHNOLOGY, 2023-2028 (USD MILLION)
    • TABLE 58 PRODUCTION PLANNING: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION, 2019-2022 (USD MILLION)
    • TABLE 59 PRODUCTION PLANNING: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION, 2023-2028 (USD MILLION)
  • 8.5 FIELD SERVICES
    • 8.5.1 SURGING USE OF AI-POWERED SOLUTIONS IN FIELD SERVICES OFFERED TO OIL & GAS AND ENERGY & POWER INDUSTRY PLAYERS TO SUPPORT MARKET GROWTH
    • TABLE 60 FIELD SERVICES: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY TECHNOLOGY, 2019-2022 (USD MILLION)
    • TABLE 61 FIELD SERVICES: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY TECHNOLOGY, 2023-2028 (USD MILLION)
    • TABLE 62 FIELD SERVICES: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION, 2019-2022 (USD MILLION)
    • TABLE 63 FIELD SERVICES: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION, 2023-2028 (USD MILLION)
  • 8.6 RECLAMATION
    • 8.6.1 ELEVATING DEMAND FOR COMPUTER VISION TECHNOLOGY TO IDENTIFY AND SORT RECYCLABLE MATERIALS TO DRIVE MARKET
    • TABLE 64 RECLAMATION: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY TECHNOLOGY, 2019-2022 (USD MILLION)
    • TABLE 65 RECLAMATION: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY TECHNOLOGY, 2023-2028 (USD MILLION)
    • TABLE 66 RECLAMATION: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION, 2019-2022 (USD MILLION)
    • TABLE 67 RECLAMATION: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION, 2023-2028 (USD MILLION)
  • 8.7 QUALITY CONTROL
    • 8.7.1 GROWING USE OF AI-POWERED QUALITY CONTROL SYSTEMS BY PHARMACEUTICAL AND FOOD & BEVERAGE COMPANIES TO ACCELERATE MARKET GROWTH
    • TABLE 68 QUALITY CONTROL: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY TECHNOLOGY, 2019-2022 (USD MILLION)
    • TABLE 69 QUALITY CONTROL: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY TECHNOLOGY, 2023-2028 (USD MILLION)
    • TABLE 70 QUALITY CONTROL: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION, 2019-2022 (USD MILLION)
    • TABLE 71 QUALITY CONTROL: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION, 2023-2028 (USD MILLION)
  • 8.8 CYBERSECURITY
    • 8.8.1 HIGH EMPHASIS OF AUTOMATED PLANTS ON AVOIDING DATA BREACHES TO BOOST DEMAND FOR AI-DRIVEN CYBERSECURITY SOLUTIONS
    • TABLE 72 CYBERSECURITY: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY TECHNOLOGY, 2019-2022 (USD MILLION)
    • TABLE 73 CYBERSECURITY: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY TECHNOLOGY, 2023-2028 (USD MILLION)
    • FIGURE 43 ASIA PACIFIC TO HOLD LARGEST MARKET SHARE FOR CYBERSECURITY APPLICATIONS IN 2023
    • TABLE 74 CYBERSECURITY: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION, 2019-2022 (USD MILLION)
    • TABLE 75 CYBERSECURITY: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION, 2023-2028 (USD MILLION)
  • 8.9 INDUSTRIAL ROBOTS
    • 8.9.1 SEAMLESS INTEGRATION OF AI INTO INDUSTRIAL ROBOTS TO IMPROVE PRODUCTION AND EFFICIENCY TO DRIVE MARKET
    • TABLE 76 INDUSTRIAL ROBOTS: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY TECHNOLOGY, 2019-2022 (USD MILLION)
    • TABLE 77 INDUSTRIAL ROBOTS: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY TECHNOLOGY, 2023-2028 (USD MILLION)
    • TABLE 78 INDUSTRIAL ROBOTS: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION, 2019-2022 (USD MILLION)
    • TABLE 79 INDUSTRIAL ROBOTS: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION, 2023-2028 (USD MILLION)

9 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY INDUSTRY

  • 9.1 INTRODUCTION
    • FIGURE 44 AUTOMOTIVE INDUSTRY HELD LARGEST SHARE OF ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET IN 2023
    • TABLE 80 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY INDUSTRY, 2019-2022 (USD MILLION)
    • TABLE 81 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY INDUSTRY, 2023-2028 (USD MILLION)
  • 9.2 AUTOMOTIVE
    • 9.2.1 INCREASING ADOPTION OF ML AND COMPUTER VISION TECHNOLOGIES TO ENSURE FLAWLESS PRODUCTION OF VEHICLE PARTS TO DRIVE MARKET
    • TABLE 82 AUTOMOTIVE: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION, 2019-2022 (USD MILLION)
    • FIGURE 45 ASIA PACIFIC TO HOLD LARGEST SHARE OF ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET FOR AUTOMOTIVE INDUSTRY IN 2028
    • TABLE 83 AUTOMOTIVE: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION, 2023-2028 (USD MILLION)
  • 9.3 ENERGY & POWER
    • 9.3.1 GROWING IMPLEMENTATION OF AI TO MINIMIZE ENERGY WASTE AND REDUCE ENERGY COSTS TO BOOST SEGMENTAL GROWTH
    • TABLE 84 ENERGY & POWER: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION, 2019-2022 (USD MILLION)
    • TABLE 85 ENERGY & POWER: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION, 2023-2028 (USD MILLION)
  • 9.4 PHARMACEUTICALS
    • 9.4.1 RISING USE OF AI IN QUALITY CONTROL AND PRODUCTION PLANNING APPLICATIONS TO STIMULATE MARKET GROWTH
    • TABLE 86 PHARMACEUTICALS: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION, 2019-2022 (USD MILLION)
    • FIGURE 46 NORTH AMERICA TO HOLD LARGEST SHARE OF ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET FOR PHARMACEUTICALS INDUSTRY IN 2028
    • TABLE 87 PHARMACEUTICALS: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION, 2023-2028 (USD MILLION)
  • 9.5 METALS & HEAVY MACHINERY
    • 9.5.1 INCREASED USE OF ROBOTICS IN METALS & HEAVY MACHINERY INDUSTRY TO AVOID UNPLANNED DOWNTIME AND WASTAGE TO DRIVE MARKET
    • TABLE 88 METALS & HEAVY MACHINERY: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION, 2019-2022 (USD MILLION)
    • TABLE 89 METALS & HEAVY MACHINERY: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION, 2023-2028 (USD MILLION)
  • 9.6 SEMICONDUCTOR & ELECTRONICS
    • 9.6.1 SURGING FOCUS ON DEVELOPING MINIATURE SEMICONDUCTOR AND ELECTRONICS EQUIPMENT TO BOOST ADOPTION OF AI-BASED INDUSTRIAL ROBOTS
    • TABLE 90 SEMICONDUCTOR & ELECTRONICS: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION, 2019-2022 (USD MILLION)
    • TABLE 91 SEMICONDUCTOR & ELECTRONICS: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION, 2023-2028 (USD MILLION)
  • 9.7 FOOD & BEVERAGES
    • 9.7.1 GROWING ADOPTION OF AUTOMATION TO MAINTAIN HYGIENIC FOOD PROCESSING SOLUTIONS TO FUEL MARKET GROWTH
    • TABLE 92 FOOD & BEVERAGES: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION, 2019-2022 (USD MILLION)
    • TABLE 93 FOOD & BEVERAGES: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION, 2023-2028 (USD MILLION)
  • 9.8 OTHER INDUSTRIES
    • TABLE 94 OTHER INDUSTRIES: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION, 2019-2022 (USD MILLION)
    • TABLE 95 OTHER INDUSTRIES: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION, 2023-2028 (USD MILLION)

10 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION

  • 10.1 INTRODUCTION
    • FIGURE 47 CHINA, SOUTH KOREA, UK, AND US TO BE HOTSPOTS IN ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET
    • FIGURE 48 ASIA PACIFIC TO DOMINATE ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET THROUGHOUT FORECAST PERIOD
    • TABLE 96 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION, 2019-2022 (USD MILLION)
    • TABLE 97 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION, 2023-2028 (USD MILLION)
  • 10.2 NORTH AMERICA
    • 10.2.1 NORTH AMERICA: RECESSION IMPACT
    • FIGURE 49 SNAPSHOT OF ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET IN NORTH AMERICA
    • TABLE 98 NORTH AMERICA: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY COUNTRY, 2019-2022 (USD MILLION)
    • TABLE 99 NORTH AMERICA: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY COUNTRY, 2023-2028 (USD MILLION)
    • TABLE 100 NORTH AMERICA: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY INDUSTRY, 2019-2022 (USD MILLION)
    • TABLE 101 NORTH AMERICA: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY INDUSTRY, 2023-2028 (USD MILLION)
    • 10.2.2 US
      • 10.2.2.1 Rising adoption of industrial robots due to shortage of skilled workforce to drive market
    • 10.2.3 CANADA
      • 10.2.3.1 Increasing investments by SMEs in IoT to boost demand for AI-based solutions
    • 10.2.4 MEXICO
      • 10.2.4.1 Surging foreign direct investments in AI and robotics to support market growth
  • 10.3 EUROPE
    • 10.3.1 EUROPE: RECESSION IMPACT
    • FIGURE 50 SNAPSHOT OF ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET IN EUROPE
    • TABLE 102 EUROPE: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY COUNTRY, 2019-2022 (USD MILLION)
    • TABLE 103 EUROPE: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY COUNTRY, 2023-2028 (USD MILLION)
    • FIGURE 51 GERMANY HELD LARGEST SHARE OF EUROPEAN ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET IN 2022
    • TABLE 104 EUROPE: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY INDUSTRY, 2019-2022 (USD MILLION)
    • TABLE 105 EUROPE: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY INDUSTRY, 2023-2028 (USD MILLION)
    • 10.3.2 GERMANY
      • 10.3.2.1 High adoption of computer vision systems to get real-time manufacturing data to fuel market growth
    • 10.3.3 UK
      • 10.3.3.1 Increasing investment by government in robotics and AI technologies to foster market growth
    • 10.3.4 FRANCE
      • 10.3.4.1 Rising adoption of AI by manufacturing firms to fuel market growth
    • 10.3.5 REST OF EUROPE
  • 10.4 ASIA PACIFIC
    • FIGURE 52 SNAPSHOT OF ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET IN ASIA PACIFIC
    • TABLE 106 ASIA PACIFIC: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY COUNTRY, 2019-2022 (USD MILLION)
    • TABLE 107 ASIA PACIFIC: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY COUNTRY, 2023-2028 (USD MILLION)
    • TABLE 108 ASIA PACIFIC: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY INDUSTRY, 2019-2022 (USD MILLION)
    • TABLE 109 ASIA PACIFIC: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY INDUSTRY, 2023-2028 (USD MILLION)
    • 10.4.1 CHINA
      • 10.4.1.1 Strategic planning to achieve Next Generation AI goal by 2030 to boost demand for AI technology by manufacturing firms
    • 10.4.2 JAPAN
      • 10.4.2.1 Strong presence of top-tier IT, machinery, and automobile manufacturing firms to support market growth
    • 10.4.3 SOUTH KOREA
      • 10.4.3.1 Presence of massive computing data centers for AI research to contribute to market growth
    • 10.4.4 REST OF ASIA PACIFIC
  • 10.5 ROW
    • TABLE 110 ROW: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION, 2019-2022 (USD MILLION)
    • TABLE 111 ROW: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION, 2023-2028 (USD MILLION)
    • TABLE 112 ROW: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY INDUSTRY, 2019-2022 (USD MILLION)
    • TABLE 113 ROW: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY INDUSTRY, 2023-2028 (USD MILLION)
    • 10.5.1 SOUTH AMERICA
      • 10.5.1.1 Increased investments in IT infrastructure development to fuel market growth
    • 10.5.2 MIDDLE EAST & AFRICA
      • 10.5.2.1 Increasing deployment of cloud-based cognitive computing in manufacturing sector to drive market

11 COMPETITIVE LANDSCAPE

  • 11.1 INTRODUCTION
  • 11.2 MAJOR STRATEGIES ADOPTED BY KEY PLAYERS
    • TABLE 114 OVERVIEW OF STRATEGIES ADOPTED BY PLAYERS IN ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET
  • 11.3 REVENUE ANALYSIS OF TOP 5 PLAYERS
    • FIGURE 53 FIVE-YEAR REVENUE ANALYSIS OF TOP 5 PLAYERS IN ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET
  • 11.4 MARKET SHARE ANALYSIS
    • TABLE 115 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SHARE ANALYSIS, 2022
    • FIGURE 54 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SHARE, BY COMPANY, 2022
  • 11.5 COMPANY EVALUATION MATRIX, 2022
    • 11.5.1 STARS
    • 11.5.2 PERVASIVE PLAYERS
    • 11.5.3 EMERGING LEADERS
    • 11.5.4 PARTICIPANTS
    • FIGURE 55 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET (GLOBAL) COMPANY EVALUATION MATRIX, 2022
  • 11.6 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET: COMPANY FOOTPRINT
    • 11.6.1 COMPANY FOOTPRINT OF TOP PLAYERS
    • TABLE 116 APPLICATION AND REGIONAL FOOTPRINT OF TOP COMPANIES
    • TABLE 117 APPLICATION FOOTPRINT OF KEY COMPANIES
    • TABLE 118 OFFERING FOOTPRINT OF KEY COMPANIES
    • TABLE 119 REGIONAL FOOTPRINT OF KEY COMPANIES
  • 11.7 SMALL AND MEDIUM-SIZED ENTERPRISES (SMES) EVALUATION MATRIX, 2022
    • 11.7.1 PROGRESSIVE COMPANIES
    • 11.7.2 RESPONSIVE COMPANIES
    • 11.7.3 DYNAMIC COMPANIES
    • 11.7.4 STARTING BLOCKS
    • FIGURE 56 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET (GLOBAL) SME EVALUATION MATRIX, 2022
  • 11.8 COMPETITIVE BENCHMARKING
    • TABLE 120 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET: LIST OF KEY STARTUPS/SMES
    • TABLE 121 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET: COMPETITIVE BENCHMARKING OF KEY STARTUPS/SMES
  • 11.9 COMPETITIVE SITUATIONS AND TRENDS
    • TABLE 122 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET: PRODUCT LAUNCHES, 2021-2023
    • TABLE 123 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET: DEALS, 2021-2023
    • TABLE 124 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET: OTHERS, 2021-2023

12 COMPANY PROFILES

(Business Overview, Products/Solutions/Services Offered, Recent Developments, and MnM View (Key strengths/Right to Win, Strategic Choices Made, and Weaknesses and Competitive Threats))**

  • 12.1 KEY PLAYERS
    • 12.1.1 NVIDIA CORPORATION
    • TABLE 125 NVIDIA CORPORATION: COMPANY OVERVIEW
    • FIGURE 57 NVIDIA CORPORATION: COMPANY SNAPSHOT
    • TABLE 126 NVIDIA CORPORATION: PRODUCT/SOLUTION/SERVICE OFFERINGS
    • TABLE 127 NVIDIA CORPORATION: PRODUCT LAUNCHES
    • TABLE 128 NVIDIA CORPORATION: DEALS
    • 12.1.2 IBM (INTERNATIONAL BUSINESS MACHINES CORPORATION)
    • TABLE 129 IBM: COMPANY OVERVIEW
    • FIGURE 58 IBM: COMPANY SNAPSHOT
    • TABLE 130 IBM: PRODUCT/SOLUTION/SERVICE OFFERINGS
    • TABLE 131 IBM: PRODUCT LAUNCHES
    • TABLE 132 IBM: DEALS
    • 12.1.3 INTEL CORPORATION
    • TABLE 133 INTEL CORPORATION: COMPANY OVERVIEW
    • FIGURE 59 INTEL CORPORATION: COMPANY SNAPSHOT
    • TABLE 134 INTEL CORPORATION: PRODUCT/SOLUTION/SERVICE OFFERINGS
    • TABLE 135 INTEL CORPORATION: PRODUCT LAUNCHES
    • TABLE 136 INTEL CORPORATION: DEALS
    • 12.1.4 SIEMENS
    • TABLE 137 SIEMENS: COMPANY OVERVIEW
    • FIGURE 60 SIEMENS: COMPANY SNAPSHOT
    • TABLE 138 SIEMENS: PRODUCT/SOLUTION/SERVICE OFFERINGS
    • TABLE 139 SIEMENS: PRODUCT LAUNCHES
    • TABLE 140 SIEMENS: DEALS
    • 12.1.5 GENERAL ELECTRIC
    • TABLE 141 GENERAL ELECTRIC: COMPANY OVERVIEW
    • FIGURE 61 GENERAL ELECTRIC: COMPANY SNAPSHOT
    • TABLE 142 GENERAL ELECTRIC: PRODUCT/SOLUTION/SERVICE OFFERINGS
    • TABLE 143 GENERAL ELECTRIC: PRODUCT LAUNCHES
    • TABLE 144 GENERAL ELECTRIC: DEALS
    • 12.1.6 GOOGLE LLC
    • TABLE 145 GOOGLE LLC: COMPANY OVERVIEW
    • FIGURE 62 GOOGLE LLC: COMPANY SNAPSHOT
    • TABLE 146 GOOGLE LLC: PRODUCT/SOLUTION/SERVICE OFFERINGS
    • TABLE 147 GOOGLE LLC: PRODUCT LAUNCHES
    • TABLE 148 GOOGLE LLC: DEALS
    • 12.1.7 MICROSOFT
    • TABLE 149 MICROSOFT: COMPANY OVERVIEW
    • FIGURE 63 MICROSOFT: COMPANY SNAPSHOT
    • TABLE 150 MICROSOFT: PRODUCT/SOLUTION/SERVICE OFFERINGS
    • TABLE 151 MICROSOFT: PRODUCT LAUNCHES
    • TABLE 152 MICROSOFT: DEALS
    • 12.1.8 MICRON TECHNOLOGY, INC.
    • TABLE 153 MICRON TECHNOLOGY, INC.: COMPANY OVERVIEW
    • FIGURE 64 MICRON TECHNOLOGY, INC.: COMPANY SNAPSHOT
    • TABLE 154 MICRON TECHNOLOGY, INC.: PRODUCT/SOLUTION/SERVICE OFFERINGS
    • TABLE 155 MICRON TECHNOLOGY, INC.: PRODUCT LAUNCHES
    • TABLE 156 MICRON TECHNOLOGY: DEALS
    • TABLE 157 MICRON TECHNOLOGY, INC.: OTHERS
    • 12.1.9 AMAZON WEB SERVICES, INC. (AWS)
    • TABLE 158 AMAZON WEB SERVICES, INC.: COMPANY OVERVIEW
    • FIGURE 65 AMAZON WEB SERVICES, INC.: COMPANY SNAPSHOT
    • TABLE 159 AMAZON WEB SERVICES, INC.: PRODUCT/SOLUTION/SERVICE OFFERINGS
    • TABLE 160 AMAZON WEB SERVICES, INC.: PRODUCT LAUNCHES
    • TABLE 161 AMAZON WEB SERVICES, INC.: DEALS
    • 12.1.10 SIGHT MACHINE
    • TABLE 162 SIGHT MACHINE: COMPANY OVERVIEW
    • TABLE 163 SIGHT MACHINE: PRODUCT/SOLUTION/SERVICE OFFERINGS
    • TABLE 164 SIGHT MACHINE: PRODUCT LAUNCHES
    • TABLE 165 SIGHT MACHINE: DEALS
  • 12.2 OTHER PLAYERS
    • 12.2.1 PROGRESS SOFTWARE CORPORATION (DATARPM)
    • TABLE 166 PROGRESS SOFTWARE CORPORATION (DATARPM): COMPANY OVERVIEW
    • 12.2.2 AIBRAIN INC.
    • TABLE 167 AIBRAIN INC.: COMPANY OVERVIEW
    • 12.2.3 GENERAL VISION INC.
    • TABLE 168 GENERAL VISION INC.: COMPANY OVERVIEW
    • 12.2.4 ROCKWELL AUTOMATION
    • TABLE 169 ROCKWELL AUTOMATION: COMPANY OVERVIEW
    • 12.2.5 CISCO SYSTEMS, INC.
    • TABLE 170 CISCO SYSTEMS, INC.: COMPANY OVERVIEW
    • 12.2.6 MITSUBISHI ELECTRIC CORPORATION
    • TABLE 171 MITSUBISHI ELECTRIC CORPORATION: COMPANY OVERVIEW
    • 12.2.7 ORACLE
    • TABLE 172 ORACLE: COMPANY OVERVIEW
    • 12.2.8 SAP
    • TABLE 173 SAP: COMPANY OVERVIEW
    • 12.2.9 VICARIOUS
    • TABLE 174 VICARIOUS: COMPANY OVERVIEW
    • 12.2.10 UBTECH ROBOTICS CORP LTD
    • TABLE 175 UBTECH ROBOTICS CORP LTD: COMPANY OVERVIEW
    • 12.2.11 AQUANT
    • TABLE 176 AQUANT: COMPANY OVERVIEW
    • 12.2.12 BRIGHT MACHINES, INC.
    • TABLE 177 BRIGHT MACHINES, INC.: COMPANY OVERVIEW
    • 12.2.13 RETHINK ROBOTICS GMBH
    • TABLE 178 RETHINK ROBOTICS GMBH: COMPANY OVERVIEW
    • 12.2.14 SPARKCOGNITION
    • TABLE 179 SPARKCOGNITION: COMPANY OVERVIEW
    • 12.2.15 FLUTURA
    • TABLE 180 FLUTURA: COMPANY OVERVIEW
  • *Details on Business Overview, Products/Solutions/Services Offered, Recent Developments, and MnM View (Key strengths/Right to Win, Strategic Choices Made, and Weaknesses and Competitive Threats) might not be captured in case of unlisted companies.

13 ADJACENT MARKET

  • 13.1 SMART FACTORY MARKET
  • 13.2 INTRODUCTION
    • FIGURE 66 SMART FACTORY MARKET, BY COMPONENT
    • FIGURE 67 INDUSTRIAL SENSORS TO HOLD LARGEST SHARE OF SMART FACTORY MARKET FOR COMPONENTS IN 2027
    • TABLE 181 SMART FACTORY MARKET, BY COMPONENT, 2018-2021 (USD MILLION)
    • TABLE 182 SMART FACTORY MARKET, BY COMPONENT, 2022-2027 (USD MILLION)
  • 13.3 INDUSTRIAL SENSORS
    • TABLE 183 INDUSTRIAL SENSORS: SMART FACTORY MARKET, BY SENSOR TYPE, 2018-2021 (USD MILLION)
    • TABLE 184 INDUSTRIAL SENSORS: SMART FACTORY MARKET, BY SENSOR TYPE, 2022-2027 (USD MILLION)
    • TABLE 185 INDUSTRIAL SENSORS: SMART FACTORY MARKET, 2018-2021 (MILLION UNITS)
    • TABLE 186 INDUSTRIAL SENSORS: SMART FACTORY MARKET, 2022-2027 (MILLION UNITS)
    • TABLE 187 INDUSTRIAL SENSORS: SMART FACTORY MARKET, BY REGION, 2018-2021 (USD MILLION)
    • TABLE 188 INDUSTRIAL SENSORS: SMART FACTORY MARKET, BY REGION, 2022-2027 (USD MILLION)
    • 13.3.1 LEVEL SENSORS
      • 13.3.1.1 Rising demand for level sensors to detect and measure levels of liquids, bulk solids, and other fluids to drive market
    • 13.3.2 TEMPERATURE SENSORS
      • 13.3.2.1 Increasing use of temperature sensors in chemicals, energy & power, and oil & gas vertical to support market growth
    • 13.3.3 FLOW SENSORS
      • 13.3.3.1 Rising adoption of flow sensors to measure rate of fluid flow either directly or inferentially to fuel market growth
    • 13.3.4 POSITION SENSORS
      • 13.3.4.1 Increasing application areas of position sensors increasing with technological advancements to drive market
    • 13.3.5 PRESSURE SENSORS
      • 13.3.5.1 Growing adoption of pressure sensors in semiconductor processing, robotics, and test & measurement in industrial applications to contribute to market growth
    • 13.3.6 FORCE SENSORS
      • 13.3.6.1 Rising use of force sensors to ensure safe robot and human interaction to drive market
    • 13.3.7 HUMIDITY & MOISTURE SENSORS
      • 13.3.7.1 Extensive use of humidity and moisture sensors in chemicals, pharmaceuticals, oil & gas, and food & beverages verticals to drive market
    • 13.3.8 IMAGE SENSORS
      • 13.3.8.1 Increasing adoption of image sensors to convert optical images into electronic signals to support market growth
    • 13.3.9 GAS SENSORS
      • 13.3.9.1 Surging adoption of gas sensors to measure concentration of different gases in air to contribute to market growth
  • 13.4 INDUSTRIAL ROBOTS
    • TABLE 189 INDUSTRIAL ROBOTS: SMART FACTORY MARKET, BY TYPE, 2018-2021 (USD MILLION)
    • TABLE 190 INDUSTRIAL ROBOTS: SMART FACTORY MARKET, BY TYPE, 2022-2027 (USD MILLION)
    • TABLE 191 INDUSTRIAL ROBOTS: SMART FACTORY MARKET, BY TYPE, 2018-2021 (THOUSAND UNITS)
    • TABLE 192 INDUSTRIAL ROBOTS: SMART FACTORY MARKET, BY TYPE, 2022-2027 (THOUSAND UNITS)
    • TABLE 193 INDUSTRIAL ROBOTS: SMART FACTORY MARKET, BY REGION, 2018-2021 (USD MILLION)
    • TABLE 194 INDUSTRIAL ROBOTS: SMART FACTORY MARKET, BY REGION, 2022-2027 (USD MILLION)
    • 13.4.1 TRADITIONAL INDUSTRIAL ROBOTS
      • 13.4.1.1 Articulated robots
        • 13.4.1.1.1 Growing use of articulated robots in assembly and welding to drive segmental growth
      • 13.4.1.2 Cartesian robots
        • 13.4.1.2.1 Potential to carry heavy loads to boost demand for cartesian robots in industrial applications
      • 13.4.1.3 Selective compliance assembly robot arm (SCARA) robots
        • 13.4.1.3.1 Growing utilization of SCARA robots in welding and spray-painting operations to fuel market growth
      • 13.4.1.4 Cylindrical robots
        • 13.4.1.4.1 Suitability of cylindrical robots for pick and place operations to drive market
      • 13.4.1.5 Other robots
    • 13.4.2 COLLABORATIVE ROBOTS
      • 13.4.2.1 Highest adoption rate of collaborative robots in industrial applications to drive market
  • 13.5 INDUSTRIAL 3D PRINTERS
    • 13.5.1 RISING ADOPTION OF INDUSTRIAL PRINTERS TO CONSTRUCT THREE-DIMENSIONAL SOLID OBJECTS TO DRIVE MARKET
    • TABLE 195 INDUSTRIAL 3D PRINTERS: SMART FACTORY MARKET, BY OFFERING, 2018-2021 (USD MILLION)
    • TABLE 196 INDUSTRIAL 3D PRINTERS: SMART FACTORY MARKET, BY OFFERING, 2022-2027 (USD MILLION)
    • TABLE 197 INDUSTRIAL 3D PRINTERS: SMART FACTORY MARKET, 2018-2021 (MILLION UNITS)
    • TABLE 198 INDUSTRIAL 3D PRINTERS: SMART FACTORY MARKET, 2022-2027 (MILLION UNITS)
    • TABLE 199 INDUSTRIAL 3D PRINTERS: SMART FACTORY MARKET, BY PROCESS, 2018-2021 (USD MILLION)
    • TABLE 200 INDUSTRIAL 3D PRINTERS: SMART FACTORY MARKET, BY PROCESS, 2022-2027 (USD MILLION)
    • TABLE 201 INDUSTRIAL 3D PRINTERS: SMART FACTORY MARKET, BY REGION, 2018-2021 (USD MILLION)
    • TABLE 202 INDUSTRIAL 3D PRINTERS: SMART FACTORY MARKET, BY REGION, 2022-2027 (USD MILLION)
  • 13.6 MACHINE VISION SYSTEMS
    • TABLE 203 MACHINE VISION SYSTEMS: SMART FACTORY MARKET, BY PRODUCT, 2018-2021 (USD MILLION)
    • TABLE 204 MACHINE VISION SYSTEMS: SMART FACTORY MARKET, BY PRODUCT, 2022-2027 (USD MILLION)
    • TABLE 205 MACHINE VISION SYSTEMS: SMART FACTORY MARKET, BY COMPONENT, 2018-2021 (USD MILLION)
    • TABLE 206 MACHINE VISION SYSTEMS: SMART FACTORY MARKET, BY COMPONENT, 2022-2027 (USD MILLION)
    • TABLE 207 MACHINE VISION SYSTEMS: SMART FACTORY MARKET, BY REGION, 2018-2021 (USD MILLION)
    • TABLE 208 MACHINE VISION SYSTEMS: SMART FACTORY MARKET, BY REGION, 2022-2027 (USD MILLION)
    • 13.6.1 CAMERAS
      • 13.6.1.1 Rising need for high-quality images to boost demand for smart cameras
    • 13.6.2 FRAME GRABBERS, OPTICS, AND LED LIGHTING
      • 13.6.2.1 Influence of position and quality of other key components, such as LEDs and frame grabbers, on image quality to lead to high demand
    • 13.6.3 PROCESSORS AND SOFTWARE
      • 13.6.3.1 Growing integration of processors and software in machine vision systems to drive market

14 APPENDIX

  • 14.1 INSIGHTS FROM INDUSTRY EXPERTS
  • 14.2 DISCUSSION GUIDE
  • 14.3 KNOWLEDGESTORE: MARKETSANDMARKETS' SUBSCRIPTION PORTAL
  • 14.4 CUSTOMIZATION OPTIONS
  • 14.5 RELATED REPORTS
  • 14.6 AUTHOR DETAILS