製造業における人工知能市場：技術、用途、エンドユーザー別-2025-2030年の世界予測

製造業における人工知能市場の2023年の市場規模は57億4,000万米ドルで、2024年には79億米ドルに達すると予測され、CAGR 39.04％で成長し、2030年には577億5,000万米ドルに達すると予測されています。

製造業における人工知能（AI）の範囲は、生産プロセスの最適化、効率の向上、運用コストの削減を中心に展開されます。これには、予知保全、品質管理、在庫管理、サプライチェーン最適化などのアプリケーションが含まれます。製造業におけるAIの必要性は、より高い生産性の要求と、急速に進歩する技術環境における適応システムの必要性によってもたらされます。主な最終用途分野には、自動車、エレクトロニクス、医薬品、消費財などがあり、それぞれがAIを活用して製品の品質を高め、業務を合理化しています。成長に影響を与える主な要因には、インダストリー4.0実践の採用増加、センサー技術の進歩、製造プロセスにおけるIoTの統合などがあります。大きなビジネスチャンスは、AIが提供するリアルタイムのデータ分析にあり、生産ライン全体の可視性と意思決定能力を強化します。開発企業は、ニッチな課題に合わせたカスタムAIソリューションの開発からも利益を得ることができます。しかし、導入コストの高さ、熟練労働者の不足、データプライバシーへの懸念といった課題が、市場成長の障害となっています。さらに、サイバーセキュリティを確保し、システム障害による潜在的な混乱を緩和することも重要な課題です。成長のための革新的な分野には、予測能力を向上させるためのより洗練されたAIアルゴリズムの開発や、直感的なインターフェイスによる人間と機械のコラボレーションの強化が含まれます。エネルギー効率の高いAIモデルや、多様な製造システム間でのAIの相互運用性に焦点を当てた調査は、持続可能な成長を促進することができます。メーカーは競争力を維持するためにデジタルトランスフォーメーションのイニシアチブを採用し続けているため、市場はダイナミックに進化すると予測されます。企業は、AIを活用したサプライチェーンの回復力と、特定の製造業に合わせたカスタマイズ可能な自動化ソリューションに投資することで、戦略的なポジショニングをとることができます。また、テクノロジー・プロバイダーとの強力なパートナーシップを重視し、展開と実装を迅速化することも、障壁を克服する上で役立ち、企業が新たなAIの機会を効果的に活用することを可能にします。

市場力学：急速に進化する製造業における人工知能市場の主要市場インサイトを公開

製造業における人工知能市場は、需要と供給のダイナミックな相互作用によって変貌を遂げています。このような市場力学の進化を理解することで、企業は十分な情報に基づいた投資決定、戦略的決定の精緻化、そして新たなビジネスチャンスの獲得に備えることができます。これらの動向を包括的に把握することで、企業は政治的、地理的、技術的、社会的、経済的な領域にわたる様々なリスクを軽減することができ、また、消費者行動とそれが製造コストや購買動向に与える影響をより明確に理解することができます。

• 市場促進要因
  • 自動化のニーズの高まりと急速に進化する産業
  • 製造業におけるIoT技術の進化
  • 業務効率とコスト削減の重視の高まり
• 市場抑制要因
  • 技術の導入と実装のための高額な初期投資
• 市場機会
  • 機械検査や予知保全におけるAI技術の採用拡大
  • 開発途上国における政府のイニシアティブと投資の促進
• 市場の課題
  • レイテンシに敏感なアプリケーションと限られた熟練労働力に関する懸念

ポーターのファイブフォース：製造業における人工知能市場をナビゲートする戦略ツール

ポーターのファイブフォースフレームワークは、製造業における人工知能市場の競合情勢を理解するための重要なツールです。ポーターのファイブフォース・フレームワークは、企業の競争力を評価し、戦略的機会を探るための明確な手法を提供します。このフレームワークは、企業が市場内の勢力図を評価し、新規事業の収益性を判断するのに役立ちます。これらの洞察により、企業は自社の強みを活かし、弱みに対処し、潜在的な課題を回避することで、より強靭な市場でのポジショニングを確保することができます。

PESTLE分析：製造業における人工知能市場における外部からの影響の把握

外部マクロ環境要因は、製造業における人工知能市場の業績ダイナミクスを形成する上で極めて重要な役割を果たします。政治的、経済的、社会的、技術的、法的、環境的要因の分析は、これらの影響をナビゲートするために必要な情報を提供します。PESTLE要因を調査することで、企業は潜在的なリスクと機会をよりよく理解することができます。この分析により、企業は規制、消費者の嗜好、経済動向の変化を予測し、先を見越した積極的な意思決定を行う準備ができます。

市場シェア分析製造業における人工知能市場における競合情勢の把握

製造業における人工知能市場の詳細な市場シェア分析により、ベンダーの業績を包括的に評価することができます。企業は、収益、顧客ベース、成長率などの主要指標を比較することで、競争上のポジショニングを明らかにすることができます。この分析により、市場の集中、断片化、統合の動向が明らかになり、ベンダーは競争が激化する中で自社の地位を高める戦略的意思決定を行うために必要な知見を得ることができます。

FPNVポジショニング・マトリックス製造業における人工知能市場におけるベンダーのパフォーマンス評価

FPNVポジショニングマトリックスは、製造業における人工知能市場においてベンダーを評価するための重要なツールです。このマトリックスにより、ビジネス組織はベンダーのビジネス戦略と製品満足度に基づき評価することで、目標に沿った十分な情報に基づいた意思決定を行うことができます。4つの象限によりベンダーを明確かつ的確にセグメント化し、戦略目標に最適なパートナーやソリューションを特定することができます。

戦略分析と推奨製造業における人工知能市場における成功への道筋を描く

製造業における人工知能市場の戦略分析は、世界市場でのプレゼンス強化を目指す企業にとって不可欠です。主要なリソース、能力、業績指標を検討することで、企業は成長機会を特定し、改善に取り組むことができます。このアプローチにより、競合情勢における課題を克服し、新たなビジネスチャンスを活かして長期的な成功を収めるための体制を整えることができます。

本レポートでは、主要な注目分野を網羅した市場の包括的な分析を提供しています：

1.市場の浸透度：現在の市場環境の詳細なレビュー、主要企業による広範なデータ、市場でのリーチと全体的な影響力の評価。

2.市場の開拓度：新興市場における成長機会を特定し、既存分野における拡大可能性を評価し、将来の成長に向けた戦略的ロードマップを提供します。

3.市場の多様化：最近の製品発売、未開拓の地域、業界の主要な進歩、市場を形成する戦略的投資を分析します。

4.競合の評価と情報：競合情勢を徹底的に分析し、市場シェア、事業戦略、製品ポートフォリオ、認証、規制当局の承認、特許動向、主要企業の技術進歩などを検証します。

5.製品開発およびイノベーション：将来の市場成長を促進すると期待される最先端技術、研究開発活動、製品イノベーションをハイライトしています。

また、利害関係者が十分な情報を得た上で意思決定できるよう、重要な質問にも答えています：

1.現在の市場規模と今後の成長予測は？

2.最高の投資機会を提供する製品、セグメント、地域はどこか？

3.市場を形成する主な技術動向と規制の影響とは？

4.主要ベンダーの市場シェアと競合ポジションは？

5.ベンダーの市場参入・撤退戦略の原動力となる収益源と戦略的機会は何か？

目次

第1章 序文

第2章 調査手法

第3章 エグゼクティブサマリー

第4章 市場の概要

第5章 市場洞察

• 市場力学
  • 促進要因
    • 自動化のニーズの高まりと急速に進化する産業
    • 製造業全体で進化するIoTテクノロジー
    • 業務効率化とコスト削減の重視
  • 抑制要因
    • 技術の導入と実装のための初期投資が高い
  • 機会
    • 機械検査と予知保全におけるAI技術の導入拡大
    • 発展途上国における有望な政府の取り組みと投資
  • 課題
    • 遅延に敏感なアプリケーションと熟練した労働力の不足に関する懸念
• 市場セグメンテーション分析
  • テクノロジー：製造業全体の生産性向上に向けたロボットによるプロセス自動化の導入増加
  • 用途：製造業におけるセキュリティとプロセス自動化のニーズの高まり
  • エンドユーザー：エネルギーおよび公共事業セクター全体でイノベーションと効率性を推進するためのAIの需要が高まっています。
• ポーターのファイブフォース分析
• PESTEL分析
  • 政治的
  • 経済
  • 社交
  • 技術的
  • 法律上
  • 環境

第6章 製造業における人工知能市場：技術別

• ディープラーニング
• 機械学習プラットフォーム
• マシンビジョン
• ロボティックプロセスオートメーション
• テキスト分析と自然処理言語

第7章 製造業における人工知能市場：用途別

• サイバーセキュリティ
• フィールドサービス
• 産業用ロボット
• 物質の移動
• 予知保全と機械検査
• 生産計画
• 品質管理
• 開拓

第8章 製造業における人工知能市場：エンドユーザー別

• 自動車
• エネルギーと電力
• 食品・飲料
• 重金属および機械製造
• 医薬品
• 半導体・エレクトロニクス

第9章 南北アメリカの製造業における人工知能市場

• アルゼンチン
• ブラジル
• カナダ
• メキシコ
• 米国

第10章 アジア太平洋地域の製造業における人工知能市場

• オーストラリア
• 中国
• インド
• インドネシア
• 日本
• マレーシア
• フィリピン
• シンガポール
• 韓国
• 台湾
• タイ
• ベトナム

第11章 欧州・中東・アフリカの製造業における人工知能市場

• デンマーク
• エジプト
• フィンランド
• フランス
• ドイツ
• イスラエル
• イタリア
• オランダ
• ナイジェリア
• ノルウェー
• ポーランド
• カタール
• ロシア
• サウジアラビア
• 南アフリカ
• スペイン
• スウェーデン
• スイス
• トルコ
• アラブ首長国連邦
• 英国

第12章 競合情勢

• 市場シェア分析2023
• FPNVポジショニングマトリックス, 2023
• 競合シナリオ分析
  • IFSがFalkonry AIを買収
  • AIを活用したバイオシミラー製造パートナーシップを発表
  • インドの製造業の力を支援するAIベースのスタートアップが420万米ドルを調達
• 戦略分析と提言

企業一覧

• Advanced Micro Devices, Inc.
• AIBrain Inc.
• Bright Machines, Inc.
• Cisco Systems, Inc.
• ForwardX Technology Co., Ltd.
• General Electric Company
• General Vision Inc.
• Google, LLC by Alphabet Inc.
• Graphcore Limited
• Hewlett Packard Enterprise Company
• Intel Corporation
• International Business Machines Corporation
• Landing AI
• Medtronic PLC
• Micron Technology Inc.
• Microsoft Corporation
• Mitsubishi Electric Corporation
• Novartis International AG
• Nvidia Corporation
• Oracle Corporation
• Path Robotics
• Progress Software Corporation
• Rethink Robotics GmbH
• Rockwell Automation Inc.
• SAP SE
• Siemens AG
• SparkCognition, Inc.
• UBTECH Robotics, Inc.
• Uptake Technologies Inc.

LIST OF FIGURES

• FIGURE 1. ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET RESEARCH PROCESS
• FIGURE 2. ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, 2023 VS 2030
• FIGURE 3. GLOBAL ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, 2018-2030 (USD MILLION)
• FIGURE 4. GLOBAL ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY REGION, 2023 VS 2024 VS 2030 (USD MILLION)
• FIGURE 5. GLOBAL ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
• FIGURE 6. GLOBAL ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY TECHNOLOGY, 2023 VS 2030 (%)
• FIGURE 7. GLOBAL ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY TECHNOLOGY, 2023 VS 2024 VS 2030 (USD MILLION)
• FIGURE 8. GLOBAL ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY APPLICATION, 2023 VS 2030 (%)
• FIGURE 9. GLOBAL ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY APPLICATION, 2023 VS 2024 VS 2030 (USD MILLION)
• FIGURE 10. GLOBAL ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY END-USER, 2023 VS 2030 (%)
• FIGURE 11. GLOBAL ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY END-USER, 2023 VS 2024 VS 2030 (USD MILLION)
• FIGURE 12. AMERICAS ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY COUNTRY, 2023 VS 2030 (%)
• FIGURE 13. AMERICAS ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
• FIGURE 14. UNITED STATES ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY STATE, 2023 VS 2030 (%)
• FIGURE 15. UNITED STATES ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY STATE, 2023 VS 2024 VS 2030 (USD MILLION)
• FIGURE 16. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY COUNTRY, 2023 VS 2030 (%)
• FIGURE 17. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
• FIGURE 18. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY COUNTRY, 2023 VS 2030 (%)
• FIGURE 19. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
• FIGURE 20. ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SHARE, BY KEY PLAYER, 2023
• FIGURE 21. ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, FPNV POSITIONING MATRIX, 2023

LIST OF TABLES

• TABLE 1. ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SEGMENTATION & COVERAGE
• TABLE 2. UNITED STATES DOLLAR EXCHANGE RATE, 2018-2023
• TABLE 3. GLOBAL ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, 2018-2030 (USD MILLION)
• TABLE 4. GLOBAL ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY REGION, 2018-2030 (USD MILLION)
• TABLE 5. GLOBAL ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
• TABLE 6. ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET DYNAMICS
• TABLE 7. GLOBAL ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 8. GLOBAL ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY DEEP LEARNING, BY REGION, 2018-2030 (USD MILLION)
• TABLE 9. GLOBAL ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY MACHINE LEARNING PLATFORMS, BY REGION, 2018-2030 (USD MILLION)
• TABLE 10. GLOBAL ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY MACHINE VISION, BY REGION, 2018-2030 (USD MILLION)
• TABLE 11. GLOBAL ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY ROBOTIC PROCESSES AUTOMATION, BY REGION, 2018-2030 (USD MILLION)
• TABLE 12. GLOBAL ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY TEXT ANALYTICS & NATURAL PROCESSING LANGUAGE, BY REGION, 2018-2030 (USD MILLION)
• TABLE 13. GLOBAL ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 14. GLOBAL ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY CYBERSECURITY, BY REGION, 2018-2030 (USD MILLION)
• TABLE 15. GLOBAL ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY FIELD SERVICES, BY REGION, 2018-2030 (USD MILLION)
• TABLE 16. GLOBAL ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY INDUSTRIAL ROBOTS, BY REGION, 2018-2030 (USD MILLION)
• TABLE 17. GLOBAL ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY MATERIAL MOVEMENT, BY REGION, 2018-2030 (USD MILLION)
• TABLE 18. GLOBAL ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY PREDICTIVE MAINTENANCE & MACHINERY INSPECTION, BY REGION, 2018-2030 (USD MILLION)
• TABLE 19. GLOBAL ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY PRODUCTION PLANNING, BY REGION, 2018-2030 (USD MILLION)
• TABLE 20. GLOBAL ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY QUALITY CONTROL, BY REGION, 2018-2030 (USD MILLION)
• TABLE 21. GLOBAL ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY RECLAMATION, BY REGION, 2018-2030 (USD MILLION)
• TABLE 22. GLOBAL ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
• TABLE 23. GLOBAL ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY AUTOMOBILE, BY REGION, 2018-2030 (USD MILLION)
• TABLE 24. GLOBAL ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY ENERGY & POWER, BY REGION, 2018-2030 (USD MILLION)
• TABLE 25. GLOBAL ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY FOOD & BEVERAGES, BY REGION, 2018-2030 (USD MILLION)
• TABLE 26. GLOBAL ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY HEAVY METALS & MACHINE MANUFACTURING, BY REGION, 2018-2030 (USD MILLION)
• TABLE 27. GLOBAL ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY PHARMACEUTICALS, BY REGION, 2018-2030 (USD MILLION)
• TABLE 28. GLOBAL ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY SEMICONDUCTOR & ELECTRONICS, BY REGION, 2018-2030 (USD MILLION)
• TABLE 29. AMERICAS ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 30. AMERICAS ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 31. AMERICAS ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
• TABLE 32. AMERICAS ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
• TABLE 33. ARGENTINA ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 34. ARGENTINA ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 35. ARGENTINA ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
• TABLE 36. BRAZIL ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 37. BRAZIL ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 38. BRAZIL ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
• TABLE 39. CANADA ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 40. CANADA ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 41. CANADA ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
• TABLE 42. MEXICO ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 43. MEXICO ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 44. MEXICO ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
• TABLE 45. UNITED STATES ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 46. UNITED STATES ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 47. UNITED STATES ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
• TABLE 48. UNITED STATES ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY STATE, 2018-2030 (USD MILLION)
• TABLE 49. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 50. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 51. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
• TABLE 52. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
• TABLE 53. AUSTRALIA ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 54. AUSTRALIA ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 55. AUSTRALIA ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
• TABLE 56. CHINA ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 57. CHINA ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 58. CHINA ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
• TABLE 59. INDIA ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 60. INDIA ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 61. INDIA ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
• TABLE 62. INDONESIA ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 63. INDONESIA ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 64. INDONESIA ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
• TABLE 65. JAPAN ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 66. JAPAN ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 67. JAPAN ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
• TABLE 68. MALAYSIA ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 69. MALAYSIA ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 70. MALAYSIA ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
• TABLE 71. PHILIPPINES ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 72. PHILIPPINES ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 73. PHILIPPINES ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
• TABLE 74. SINGAPORE ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 75. SINGAPORE ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 76. SINGAPORE ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
• TABLE 77. SOUTH KOREA ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 78. SOUTH KOREA ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 79. SOUTH KOREA ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
• TABLE 80. TAIWAN ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 81. TAIWAN ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 82. TAIWAN ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
• TABLE 83. THAILAND ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 84. THAILAND ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 85. THAILAND ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
• TABLE 86. VIETNAM ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 87. VIETNAM ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 88. VIETNAM ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
• TABLE 89. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 90. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 91. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
• TABLE 92. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
• TABLE 93. DENMARK ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 94. DENMARK ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 95. DENMARK ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
• TABLE 96. EGYPT ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 97. EGYPT ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 98. EGYPT ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
• TABLE 99. FINLAND ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 100. FINLAND ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 101. FINLAND ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
• TABLE 102. FRANCE ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 103. FRANCE ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 104. FRANCE ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
• TABLE 105. GERMANY ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 106. GERMANY ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 107. GERMANY ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
• TABLE 108. ISRAEL ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 109. ISRAEL ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 110. ISRAEL ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
• TABLE 111. ITALY ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 112. ITALY ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 113. ITALY ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
• TABLE 114. NETHERLANDS ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 115. NETHERLANDS ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 116. NETHERLANDS ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
• TABLE 117. NIGERIA ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 118. NIGERIA ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 119. NIGERIA ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
• TABLE 120. NORWAY ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 121. NORWAY ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 122. NORWAY ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
• TABLE 123. POLAND ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 124. POLAND ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 125. POLAND ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
• TABLE 126. QATAR ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 127. QATAR ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 128. QATAR ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
• TABLE 129. RUSSIA ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 130. RUSSIA ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 131. RUSSIA ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
• TABLE 132. SAUDI ARABIA ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 133. SAUDI ARABIA ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 134. SAUDI ARABIA ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
• TABLE 135. SOUTH AFRICA ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 136. SOUTH AFRICA ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 137. SOUTH AFRICA ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
• TABLE 138. SPAIN ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 139. SPAIN ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 140. SPAIN ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
• TABLE 141. SWEDEN ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 142. SWEDEN ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 143. SWEDEN ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
• TABLE 144. SWITZERLAND ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 145. SWITZERLAND ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 146. SWITZERLAND ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
• TABLE 147. TURKEY ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 148. TURKEY ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 149. TURKEY ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
• TABLE 150. UNITED ARAB EMIRATES ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 151. UNITED ARAB EMIRATES ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 152. UNITED ARAB EMIRATES ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
• TABLE 153. UNITED KINGDOM ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 154. UNITED KINGDOM ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 155. UNITED KINGDOM ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
• TABLE 156. ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SHARE, BY KEY PLAYER, 2023
• TABLE 157. ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, FPNV POSITIONING MATRIX, 2023

The Artificial Intelligence in Manufacturing Market was valued at USD 5.74 billion in 2023, expected to reach USD 7.90 billion in 2024, and is projected to grow at a CAGR of 39.04%, to USD 57.75 billion by 2030.

The scope of artificial intelligence (AI) in manufacturing revolves around optimizing production processes, enhancing efficiency, and reducing operational costs. It includes applications such as predictive maintenance, quality control, inventory management, and supply chain optimization. The necessity for AI in manufacturing is driven by the demand for higher productivity and the need for adaptive systems in a rapidly advancing technological environment. Primary end-use sectors include automotive, electronics, pharmaceuticals, and consumer goods, each leveraging AI to enhance product quality and streamline operations. Key factors influencing growth include increasing adoption of Industry 4.0 practices, advancements in sensor technologies, and the integration of IoT in manufacturing processes. A significant opportunity lies in the real-time data analytics offered by AI, providing enhanced visibility and decision-making capabilities across production lines. Manufacturers can also benefit from developing custom AI solutions tailored to niche challenges. However, challenges such as high implementation costs, lack of skilled workforce, and data privacy concerns present obstacles to market growth. Furthermore, ensuring cybersecurity and mitigating potential disruptions due to system failures are critical challenges. Innovative areas for growth include developing more sophisticated AI algorithms for improved predictive capabilities and enhancing human-machine collaboration through intuitive interfaces. Research focused on energy-efficient AI models and AI interoperability across varied manufacturing systems can drive sustainable growth. The market is projected to evolve dynamically, as manufacturers continue to adopt digital transformation initiatives to remain competitive. Companies can position themselves strategically by investing in AI-powered supply chain resilience and customizable automation solutions tailored to specific manufacturing verticals. Emphasizing strong partnerships with technology providers to speed up deployment and implementation can also help in overcoming barriers, enabling companies to capitalize on emerging AI opportunities effectively.

Market Dynamics: Unveiling Key Market Insights in the Rapidly Evolving Artificial Intelligence in Manufacturing Market

The Artificial Intelligence in Manufacturing Market is undergoing transformative changes driven by a dynamic interplay of supply and demand factors. Understanding these evolving market dynamics prepares business organizations to make informed investment decisions, refine strategic decisions, and seize new opportunities. By gaining a comprehensive view of these trends, business organizations can mitigate various risks across political, geographic, technical, social, and economic domains while also gaining a clearer understanding of consumer behavior and its impact on manufacturing costs and purchasing trends.

• Market Drivers
  • Growing need for automation and rapidly evolving industries
  • Evolving IoT technology across manufacturing industries
  • Increasing emphasis on operational efficiency and reducing cost
• Market Restraints
  • High initial investment for installation and implementation of technology
• Market Opportunities
  • Growing adoption of AI technology in machinery inspection and predictive maintenance
  • Promising Government Initiatives & Investments in Developing Nations
• Market Challenges
  • Concerns regarding latency-sensitive applications and limited skilled workforce

Porter's Five Forces: A Strategic Tool for Navigating the Artificial Intelligence in Manufacturing Market

Porter's five forces framework is a critical tool for understanding the competitive landscape of the Artificial Intelligence in Manufacturing Market. It offers business organizations with a clear methodology for evaluating their competitive positioning and exploring strategic opportunities. This framework helps businesses assess the power dynamics within the market and determine the profitability of new ventures. With these insights, business organizations can leverage their strengths, address weaknesses, and avoid potential challenges, ensuring a more resilient market positioning.

PESTLE Analysis: Navigating External Influences in the Artificial Intelligence in Manufacturing Market

External macro-environmental factors play a pivotal role in shaping the performance dynamics of the Artificial Intelligence in Manufacturing Market. Political, Economic, Social, Technological, Legal, and Environmental factors analysis provides the necessary information to navigate these influences. By examining PESTLE factors, businesses can better understand potential risks and opportunities. This analysis enables business organizations to anticipate changes in regulations, consumer preferences, and economic trends, ensuring they are prepared to make proactive, forward-thinking decisions.

Market Share Analysis: Understanding the Competitive Landscape in the Artificial Intelligence in Manufacturing Market

A detailed market share analysis in the Artificial Intelligence in Manufacturing Market provides a comprehensive assessment of vendors' performance. Companies can identify their competitive positioning by comparing key metrics, including revenue, customer base, and growth rates. This analysis highlights market concentration, fragmentation, and trends in consolidation, offering vendors the insights required to make strategic decisions that enhance their position in an increasingly competitive landscape.

FPNV Positioning Matrix: Evaluating Vendors' Performance in the Artificial Intelligence in Manufacturing Market

The Forefront, Pathfinder, Niche, Vital (FPNV) Positioning Matrix is a critical tool for evaluating vendors within the Artificial Intelligence in Manufacturing Market. This matrix enables business organizations to make well-informed decisions that align with their goals by assessing vendors based on their business strategy and product satisfaction. The four quadrants provide a clear and precise segmentation of vendors, helping users identify the right partners and solutions that best fit their strategic objectives.

Strategy Analysis & Recommendation: Charting a Path to Success in the Artificial Intelligence in Manufacturing Market

A strategic analysis of the Artificial Intelligence in Manufacturing Market is essential for businesses looking to strengthen their global market presence. By reviewing key resources, capabilities, and performance indicators, business organizations can identify growth opportunities and work toward improvement. This approach helps businesses navigate challenges in the competitive landscape and ensures they are well-positioned to capitalize on newer opportunities and drive long-term success.

Key Company Profiles

The report delves into recent significant developments in the Artificial Intelligence in Manufacturing Market, highlighting leading vendors and their innovative profiles. These include Advanced Micro Devices, Inc., AIBrain Inc., Bright Machines, Inc., Cisco Systems, Inc., ForwardX Technology Co., Ltd., General Electric Company, General Vision Inc., Google, LLC by Alphabet Inc., Graphcore Limited, Hewlett Packard Enterprise Company, Intel Corporation, International Business Machines Corporation, Landing AI, Medtronic PLC, Micron Technology Inc., Microsoft Corporation, Mitsubishi Electric Corporation, Novartis International AG, Nvidia Corporation, Oracle Corporation, Path Robotics, Progress Software Corporation, Rethink Robotics GmbH, Rockwell Automation Inc., SAP SE, Siemens AG, SparkCognition, Inc., UBTECH Robotics, Inc., and Uptake Technologies Inc..

Market Segmentation & Coverage

This research report categorizes the Artificial Intelligence in Manufacturing Market to forecast the revenues and analyze trends in each of the following sub-markets:

• Based on Technology, market is studied across Deep Learning, Machine Learning Platforms, Machine Vision, Robotic Processes Automation, and Text Analytics & Natural Processing Language.
• Based on Application, market is studied across Cybersecurity, Field Services, Industrial Robots, Material Movement, Predictive Maintenance & Machinery Inspection, Production Planning, Quality Control, and Reclamation.
• Based on End-User, market is studied across Automobile, Energy & Power, Food & Beverages, Heavy Metals & Machine Manufacturing, Pharmaceuticals, and Semiconductor & Electronics.
• Based on Region, market is studied across Americas, Asia-Pacific, and Europe, Middle East & Africa. The Americas is further studied across Argentina, Brazil, Canada, Mexico, and United States. The United States is further studied across California, Florida, Illinois, New York, Ohio, Pennsylvania, and Texas. The Asia-Pacific is further studied across Australia, China, India, Indonesia, Japan, Malaysia, Philippines, Singapore, South Korea, Taiwan, Thailand, and Vietnam. The Europe, Middle East & Africa is further studied across Denmark, Egypt, Finland, France, Germany, Israel, Italy, Netherlands, Nigeria, Norway, Poland, Qatar, Russia, Saudi Arabia, South Africa, Spain, Sweden, Switzerland, Turkey, United Arab Emirates, and United Kingdom.

The report offers a comprehensive analysis of the market, covering key focus areas:

1. Market Penetration: A detailed review of the current market environment, including extensive data from top industry players, evaluating their market reach and overall influence.

2. Market Development: Identifies growth opportunities in emerging markets and assesses expansion potential in established sectors, providing a strategic roadmap for future growth.

3. Market Diversification: Analyzes recent product launches, untapped geographic regions, major industry advancements, and strategic investments reshaping the market.

4. Competitive Assessment & Intelligence: Provides a thorough analysis of the competitive landscape, examining market share, business strategies, product portfolios, certifications, regulatory approvals, patent trends, and technological advancements of key players.

5. Product Development & Innovation: Highlights cutting-edge technologies, R&D activities, and product innovations expected to drive future market growth.

The report also answers critical questions to aid stakeholders in making informed decisions:

1. What is the current market size, and what is the forecasted growth?

2. Which products, segments, and regions offer the best investment opportunities?

3. What are the key technology trends and regulatory influences shaping the market?

4. How do leading vendors rank in terms of market share and competitive positioning?

5. What revenue sources and strategic opportunities drive vendors' market entry or exit strategies?

Table of Contents

1. Preface

• 1.1. Objectives of the Study
• 1.2. Market Segmentation & Coverage
• 1.3. Years Considered for the Study
• 1.4. Currency & Pricing
• 1.5. Language
• 1.6. Stakeholders

2. Research Methodology

• 2.1. Define: Research Objective
• 2.2. Determine: Research Design
• 2.3. Prepare: Research Instrument
• 2.4. Collect: Data Source
• 2.5. Analyze: Data Interpretation
• 2.6. Formulate: Data Verification
• 2.7. Publish: Research Report
• 2.8. Repeat: Report Update

3. Executive Summary

4. Market Overview

5. Market Insights

• 5.1. Market Dynamics
  • 5.1.1. Drivers
    • 5.1.1.1. Growing need for automation and rapidly evolving industries
    • 5.1.1.2. Evolving IoT technology across manufacturing industries
    • 5.1.1.3. Increasing emphasis on operational efficiency and reducing cost
  • 5.1.2. Restraints
    • 5.1.2.1. High initial investment for installation and implementation of technology
  • 5.1.3. Opportunities
    • 5.1.3.1. Growing adoption of AI technology in machinery inspection and predictive maintenance
    • 5.1.3.2. Promising Government Initiatives & Investments in Developing Nations
  • 5.1.4. Challenges
    • 5.1.4.1. Concerns regarding latency-sensitive applications and limited skilled workforce
• 5.2. Market Segmentation Analysis
  • 5.2.1. Technology: Rising adoption of robotic process automation to increase productivity across manufacturing sector
  • 5.2.2. Application: Increasing need for security and process automation in manufacturing sector
  • 5.2.3. End-User: Growing demand for AI for propelling innovation and efficiency across energy & utility sector
• 5.3. Porter's Five Forces Analysis
  • 5.3.1. Threat of New Entrants
  • 5.3.2. Threat of Substitutes
  • 5.3.3. Bargaining Power of Customers
  • 5.3.4. Bargaining Power of Suppliers
  • 5.3.5. Industry Rivalry
• 5.4. PESTLE Analysis
  • 5.4.1. Political
  • 5.4.2. Economic
  • 5.4.3. Social
  • 5.4.4. Technological
  • 5.4.5. Legal
  • 5.4.6. Environmental

6. Artificial Intelligence in Manufacturing Market, by Technology

• 6.1. Introduction
• 6.2. Deep Learning
• 6.3. Machine Learning Platforms
• 6.4. Machine Vision
• 6.5. Robotic Processes Automation
• 6.6. Text Analytics & Natural Processing Language

7. Artificial Intelligence in Manufacturing Market, by Application

• 7.1. Introduction
• 7.2. Cybersecurity
• 7.3. Field Services
• 7.4. Industrial Robots
• 7.5. Material Movement
• 7.6. Predictive Maintenance & Machinery Inspection
• 7.7. Production Planning
• 7.8. Quality Control
• 7.9. Reclamation

8. Artificial Intelligence in Manufacturing Market, by End-User

• 8.1. Introduction
• 8.2. Automobile
• 8.3. Energy & Power
• 8.4. Food & Beverages
• 8.5. Heavy Metals & Machine Manufacturing
• 8.6. Pharmaceuticals
• 8.7. Semiconductor & Electronics

9. Americas Artificial Intelligence in Manufacturing Market

• 9.1. Introduction
• 9.2. Argentina
• 9.3. Brazil
• 9.4. Canada
• 9.5. Mexico
• 9.6. United States

10. Asia-Pacific Artificial Intelligence in Manufacturing Market

• 10.1. Introduction
• 10.2. Australia
• 10.3. China
• 10.4. India
• 10.5. Indonesia
• 10.6. Japan
• 10.7. Malaysia
• 10.8. Philippines
• 10.9. Singapore
• 10.10. South Korea
• 10.11. Taiwan
• 10.12. Thailand
• 10.13. Vietnam

11. Europe, Middle East & Africa Artificial Intelligence in Manufacturing Market

• 11.1. Introduction
• 11.2. Denmark
• 11.3. Egypt
• 11.4. Finland
• 11.5. France
• 11.6. Germany
• 11.7. Israel
• 11.8. Italy
• 11.9. Netherlands
• 11.10. Nigeria
• 11.11. Norway
• 11.12. Poland
• 11.13. Qatar
• 11.14. Russia
• 11.15. Saudi Arabia
• 11.16. South Africa
• 11.17. Spain
• 11.18. Sweden
• 11.19. Switzerland
• 11.20. Turkey
• 11.21. United Arab Emirates
• 11.22. United Kingdom

12. Competitive Landscape

• 12.1. Market Share Analysis, 2023
• 12.2. FPNV Positioning Matrix, 2023
• 12.3. Competitive Scenario Analysis
  • 12.3.1. IFS to acquire Falkonry AI
  • 12.3.2. AI-driven biosimilar manufacturing partnership announced
  • 12.3.3. AI-based startup helping India's manufacturing prowess raises USD 4.2 million
• 12.4. Strategy Analysis & Recommendation

Companies Mentioned

• 1. Advanced Micro Devices, Inc.
• 2. AIBrain Inc.
• 3. Bright Machines, Inc.
• 4. Cisco Systems, Inc.
• 5. ForwardX Technology Co., Ltd.
• 6. General Electric Company
• 7. General Vision Inc.
• 8. Google, LLC by Alphabet Inc.
• 9. Graphcore Limited
• 10. Hewlett Packard Enterprise Company
• 11. Intel Corporation
• 12. International Business Machines Corporation
• 13. Landing AI
• 14. Medtronic PLC
• 15. Micron Technology Inc.
• 16. Microsoft Corporation
• 17. Mitsubishi Electric Corporation
• 18. Novartis International AG
• 19. Nvidia Corporation
• 20. Oracle Corporation
• 21. Path Robotics
• 22. Progress Software Corporation
• 23. Rethink Robotics GmbH
• 24. Rockwell Automation Inc.
• 25. SAP SE
• 26. Siemens AG
• 27. SparkCognition, Inc.
• 28. UBTECH Robotics, Inc.
• 29. Uptake Technologies Inc.