インテリジェントプロセスオートメーションの世界市場規模：技術別、用途別、業界別、地域範囲別、予測

インテリジェントプロセスオートメーションの市場規模と予測

インテリジェントプロセスオートメーション市場規模は、2024年に121億4,000万米ドルと評価され、2026年から2032年にかけて12.37%のCAGRで成長し、2032年には308億6,000万米ドルに達すると予測されます。

• インテリジェントプロセスオートメーション（IPA）とは、人工知能（AI）、機械学習（ML）、ロボティックプロセスオートメーション（RPA）などの先進技術を利用して、複雑な業務を自動化することです。IPAは、システムがデータから学習し、インテリジェントな判断を行うことで、従来の自動化を改善し、効率性、正確性、スピードを向上させる。
• IPAは、データ入力やレポート作成のような単調な業務の自動化、チャットボットやバーチャルエージェントを利用した顧客サービスの最適化、より良い意思決定のためのデータ分析の改善に利用されています。IPAはまた、コンプライアンス監視、不正検知、サプライチェーン管理にも利用され、従業員がより戦略的な活動に集中できるようにする一方で、組織の生産性と精度を高めるのに役立っています。
• インテリジェントプロセスオートメーションの将来は、AI技術とより深く統合し、より高度なコグニティブオートメーションを可能にする能力にあります。組織がデジタルトランスフォーメーション戦略を採用し続けるにつれて、IPAに対する需要は高まり、人間とAIのコラボレーションが強化されることになります。将来の使用事例には、完全に自律的な意思決定システムや、予測的洞察のための高度なアナリティクスが含まれる可能性があり、企業は市場の変化や顧客のニーズに積極的に対応できるようになります。

インテリジェントプロセスオートメーションの世界市場力学

世界のインテリジェントプロセスオートメーション市場を形成している主な市場力学は以下の通り：

主な市場促進要因

• 業務効率化の要求の高まり：業界を問わず、組織は業務効率の改善と経費削減に取り組んでいます。IPA技術は、反復的な手順を自動化することでビジネスプロセスを改善し、人的ミスを減らし、生産性を向上させる。自動化技術を活用して業務を改善し、人的リソースをより戦略的な活動に振り向ける企業が増えています。効率性の重視は市場拡大の主要な促進要因です。
• 人工知能と機械学習の進歩：人工知能（AI）と機械学習（ML）技術の急速な進歩により、IPAソリューションの能力は大幅に向上しました。これらの画期的な進歩により、コンピューターはデータから学習し、新しい状況に適応し、自らインテリジェントな判断を下せるようになりました。AIとMLが改善されるにつれ、IPA技術との組み合わせはより強力で効果的なものとなり、その結果、斬新な自動化ソリューションを求める企業の間で受け入れられるようになりました。
• カスタマーエクスペリエンス向上へのニーズの高まり：企業は競争優位性を獲得するため、優れたカスタマーエクスペリエンスを提供することにますます注力するようになっています。IPAは、チャットボットやバーチャルエージェントによる顧客とのやり取りを自動化することで、これを可能にし、より迅速な応答時間とパーソナライズされたサービスを実現します。企業が顧客の喜びとロイヤルティの向上に努める中、顧客との対話手順を自動化するインテリジェントな自動化ソリューションへの需要が高まっています。

主な課題

• 統合の複雑さ：最も困難な課題のひとつは、IPAソリューションを現行のITインフラやレガシーシステムに統合することです。多くの組織では、新しい自動化ツールと互換性のない旧式のテクノロジーが混在して使用されています。その結果、多額の統合コストと導入期間の長期化を招き、企業はIPAソリューションの導入に消極的になってしまいます。企業は、既存システムのサポートと新しい自動化技術への投資のバランスを取るのに苦労することが多いです。
• スキル不足：機械学習、自然言語処理、ロボティックプロセスオートメーション（RPA）などの自動化技術に精通した熟練者の不足も大きな問題です。これらの分野の人材に対する需要は供給を上回ることが多く、企業が有能なチームを設立することは困難です。このようなスキルギャップは、自動化技術の効果的な導入や活用不足を招き、企業が投資の価値を十分に発揮できない原因となります。
• 変更管理：IPAの導入を成功させるには、企業内の文化的・組織的な変化が必要です。従業員は、職を失うことを懸念したり、自動化の利点を把握していなかったりするため、新しい自動化手順の採用をためらうことがあります。組織は、トレーニングやコミュニケーションなどのチェンジマネジメント対策に投資し、人間と機械のコラボレーションをサポートする自動化に適した文化を発展させる必要があります。

主要動向：

• 人工知能（AI）と機械学習（ML）の統合：IPA市場における最も重要な動向のひとつは、AIとML技術の利用の拡大です。これらの改善により、組織は定型業務だけでなく複雑な意思決定プロセスも自動化できるようになります。AIを活用した洞察は、自動化システムの精度と効率を向上させ、組織のプロセスの最適化、コスト削減、サービス提供の改善を可能にします。
• ハイパーオートメーションの台頭：ハイパーオートメーションは、組織が個々の作業ではなくプロセス全体の自動化を目指す中で、支持を集めています。このアプローチでは、ロボティックプロセスオートメーション（RPA）、人工知能（AI）、アナリティクスなど、複数の自動化テクノロジーを組み合わせて、包括的な自動化計画を策定します。ハイパーオートメーションを採用する企業は、業務効率、俊敏性、拡張性を向上させることができ、その結果、より優れた顧客体験と競争上の利益を得ることができます。
• 従業員体験の重視：自動化がますますユビキタス化するにつれて、従業員体験の向上が重視されるようになっています。組織は、自動化ツールが人間の努力を代替するのではなく、補完することで、人間とAIとのコラボレーションの価値を認識しています。このアプローチでは、ユーザーフレンドリーなインターフェイスとシームレスなワークフローが重視され、スタッフは単調な業務を自動化する一方で、より価値の高い業務に集中することができます。

目次

第1章 インテリジェントプロセスオートメーションの世界市場導入

• 市場概要
• 調査範囲
• 前提条件

第2章 エグゼクティブサマリー

第3章 VERIFIED MARKET RESEARCHの調査手法

• データマイニング
• バリデーション
• 一次資料
• データソース一覧

第4章 インテリジェントプロセスオートメーションの世界市場展望

• 概要
• 市場力学
  • 促進要因
  • 抑制要因
  • 機会
• ポーターのファイブフォースモデル
• バリューチェーン分析

第5章 インテリジェントプロセスオートメーションの世界市場、技術別

• 概要
• コンピュータビジョン
• 機械学習
• 自然言語処理
• バーチャルエージェント
• その他

第6章 インテリジェントプロセスオートメーションの世界市場：用途別

• 概要
• セキュリティ
• ITオペレーション
• アプリケーション管理
• ビジネスプロセス自動化
• その他

第7章 インテリジェントプロセスオートメーションの世界市場：業界別

• 概要
• 製造業
• 小売
• BSFI
• IT＆テレコム
• ヘルスケア
• その他

第8章 インテリジェントプロセスオートメーションの世界市場：地域別

• 概要
• 北米
  • 米国
  • カナダ
  • メキシコ
• 欧州
  • ドイツ
  • 英国
  • フランス
  • その他欧州
• アジア太平洋
  • 中国
  • 日本
  • インド
  • その他アジア太平洋地域
• 世界のその他の地域
  • ラテンアメリカ
  • 中東・アフリカ

第9章 世界のインテリジェントプロセスオートメーション市場の競合情勢

• 概要
• 各社の市場ランキング
• 主な発展戦略

第10章 企業プロファイル

• Tata Consultancy Service
• Infosys
• Cognizant
• Accenture
• Mindtree
• Xerox Corporation
• Capgemini
• Atos
• Genpact
• IBM Corporation

第11章 付録

• 関連調査

Intelligent Process Automation Market Size And Forecast

Intelligent Process Automation Market Size was valued at USD 12.14 Billion in 2024 and is projected to reach USD 30.86 Billion by 2032, growing at a CAGR of 12.37% from 2026 to 2032.

• Intelligent process automation (IPA) is the use of advanced technologies such as artificial intelligence (AI), machine learning (ML), and robotic process automation (RPA) to automate complicated business operations. IPA improves traditional automation by allowing systems to learn from data and make intelligent judgments, resulting in increased efficiency, accuracy, and speed.
• It is used to automate monotonous operations like data entry and report generation optimize customer service using chatbots and virtual agents, and improve data analysis for better decision-making. IPA is also used for compliance monitoring, fraud detection, and supply chain management where it helps organizations enhance productivity and accuracy while allowing employees to focus on more strategic activities.
• The future of intelligent process automation lies in its ability to integrate more deeply with AI technologies allowing for greater levels of cognitive automation. As organizations continue to adopt digital transformation strategies, the demand for IPA will grow leading to enhanced human-AI collaboration. Future use cases may include fully autonomous decision-making systems and advanced analytics for predictive insights enabling businesses to respond proactively to market changes and customer needs.

Global Intelligent Process Automation Market Dynamics

The key market dynamics that are shaping the global intelligent process automation market include:

Key Market Drivers:

• Increased Demand for Operational Efficiency: Organisations across industries are working to improve operational efficiency and cut expenses. IPA technologies improve business processes by automating repetitive procedures, reducing human error, and increasing productivity. Companies are increasingly using automation technologies to improve operations, freeing up human resources for more strategic activities. The emphasis on efficiency is a key driver of market expansion.
• Advancements in Artificial Intelligence and Machine Learning: The rapid advancement of artificial intelligence (AI) and machine learning (ML) technology has significantly increased the capabilities of IPA solutions. These breakthroughs let computers learn from data, adapt to new situations, and make intelligent judgments on their own. As AI and ML improve, their incorporation with IPA technologies makes them more powerful and effective resulting in increased acceptance among businesses looking for novel automation solutions.
• Rising Need for Improved Customer Experience: Businesses are increasingly focussing on providing excellent customer experience to acquire a competitive advantage. IPA makes this possible by automating customer interactions with chatbots and virtual agents, resulting in speedier response times and personalized services. As companies strive to improve customer pleasure and loyalty, the demand for intelligent automation solutions that help automate customer interaction procedures grows.

Key Challenges:

• Integration Complexity: One of the most difficult difficulties is integrating IPA solutions into current IT infrastructure and legacy systems. Many organizations use a mix of obsolete technologies that may not be compatible with new automation tools. This might result in large integration costs and longer implementation times making firms reluctant to embrace IPA solutions. Companies frequently struggle to strike a balance between supporting existing systems and investing in new automation technologies.
• Skill Shortages: Another significant difficulty is a lack of skilled individuals with competence in automation technologies such as Machine Learning, Natural Language Processing, and Robotic Process Automation (RPA). The demand for talent in these fields frequently exceeds supply making it challenging for businesses to establish capable teams. This skills gap can result in ineffective installation and underutilization of automation technologies preventing businesses from realizing the full value of their investments.
• Change Management: Successful adoption of IPA necessitates cultural and organizational changes within businesses. Employees may be hesitant to adopt new automated procedures because they are concerned about job loss or do not grasp the benefits of automation. Organizations must invest in change management measures such as training and communication to develop an automation-friendly culture that supports human-machine collaboration.

Key Trends:

• Integration of Artificial Intelligence (AI) and Machine Learning (ML): One of the most significant trends in the IPA market is the growing use of AI and ML technologies. These improvements enable organizations to automate not only routine jobs but also complicated decision-making processes. AI-powered insights improve the accuracy and efficiency of automated systems enabling organizations to optimize processes, cut costs, and improve service delivery.
• Rise of Hyperautomation: Hyperautomation is gaining traction as organizations strive to automate entire processes rather than individual jobs. This approach involves mixing several automation technologies such as robotic process automation (RPA), artificial intelligence (AI), and analytics to develop a comprehensive automation plan. Companies that use hyper-automation can increase operational efficiency, agility, and scalability, resulting in better customer experiences and competitive benefits.
• Focus on Employee Experience: As automation becomes increasingly ubiquitous, there is a greater emphasis on improving employee experience. Organisations are recognising the value of human-AI collaboration with automation tools complementing rather than replacing human efforts. This approach emphasises user-friendly interfaces and seamless workflows allowing staff to automate monotonous operations while focussing on higher-value activities.

Global Intelligent Process Automation Market Regional Analysis

Here is a more detailed regional analysis of the global intelligent process automation market:

North America:

• North America dominates the intelligent process automation (IPA) market because of its excellent technological infrastructure and emphasis on innovation. The region is home to numerous major technology corporations and startups that invest extensively in R&D, accelerating the adoption of intelligent automation solutions. These solutions are increasingly used in a variety of industries including finance, healthcare, and manufacturing to improve efficiency, save operating costs, and improve client experiences.
• Furthermore, North America's market supremacy is due to the presence of a trained workforce and a culture that embraces digital change. Organizations in the region are more willing to adopt new technology incorporating artificial intelligence and machine learning into their operations. Regulatory frameworks also encourage innovation creating a climate suitable to the expansion of IPA. As organizations seek competitive advantages through automation, North America's resources, knowledge, and market demand strengthen its position as a leader in intelligent process automation.

Asia-Pacific:

• The Asia Pacific region is the fastest-growing market for intelligent process automation (IPA) due to its rapid digital transformation and increased adoption of advanced technology. Countries such as China, India, and Japan are making significant investments in automation to increase operational efficiency, lower costs, and enhance consumer experiences. The expansion of smart technologies such as artificial intelligence (AI), machine learning, and robotic process automation has hastened the use of IPA in industries like as manufacturing, banking, and healthcare.
• Furthermore, the rise of start-ups and technology enterprises in the region is encouraging innovation and competitiveness which is boosting the use of IPA solutions. Governments in the Asia Pacific are also pushing digital initiatives and smart city projects fostering a favorable atmosphere for automation technologies. The Asia Pacific area is a global leader in intelligent process automation due to its big, tech-savvy workforce and the growing need for businesses to optimize operations in response to rising customer expectations.

Global Intelligent Process Automation Market: Segmentation Analysis

The Global Intelligent Process Automation Market is segmented based on Technology, Application, Vertical, and Geography.

Intelligent Process Automation Market, By Technology

• Computer Vision
• Machine Learning
• Natural Language Processing
• Virtual Agents
• Others

Based on Technology, the Global Intelligent Process Automation Market is segmented into Computer Vision, Machine Learning, Natural Language Processing, Virtual Agents, and Others. In the intelligent process automation (IPA) market, Machine Learning is the most dominant technology. Its ability to analyze vast amounts of data and learn from patterns makes it essential for automating complex processes and enhancing decision-making. Machine Learning algorithms enable systems to improve over time, providing significant efficiency gains. While computer vision and natural language processing are also important for specific applications such as document processing and customer interaction, machine learning's broad applicability across various industries solidifies its leading position in IPA.

Intelligent Process Automation Market, By Vertical

• Manufacturing
• Healthcare
• Retail
• IT & Telecom
• BSFI
• Others

Based on Vertical, the Global Intelligent Process Automation Market is segmented into Manufacturing, Healthcare, Retail, IT & Telecom, BSFI, and Others. The manufacturing sector is the most dominant in the intelligent process automation (IPA) market. This dominance stems from the industry's need for efficiency, cost reduction, and enhanced productivity. Manufacturers are increasingly adopting automation technologies to streamline operations, minimize human error, and improve supply chain management. The implementation of intelligent process automation helps optimize production processes, reduce downtime, and enable real-time data analysis. As a result, manufacturing leads the way in utilizing IPA solutions to drive innovation and competitiveness.

Intelligent Process Automation Market, By Application

• Security
• IT Operations
• Application Management
• Business Process Automation
• Others

Based on Application, the Global Intelligent Process Automation Market is segmented into Security, IT Operations, Application Management, Business Process Automation, and Others. In the intelligent process automation market, Business Process Automation (BPA) is the most dominant segment. BPA focuses on streamlining and optimizing business workflows, significantly improving efficiency and productivity across various industries. By automating repetitive tasks, organizations can reduce operational costs and enhance service delivery. As companies increasingly recognize the importance of operational efficiency and agility, the demand for BPA solutions continues to grow driving advancements in intelligent process automation technologies. Other segments like IT operations and application management also contribute but are less dominant compared to BPA.

Intelligent Process Automation Market, By Geography

• North America
• Europe
• Asia Pacific
• Rest of the world

Based on Geography, the Global Intelligent Process Automation Market is classified into North America, Europe, Asia Pacific, and the Rest of the world. North America is more dominant in the intelligent process automation (IPA) market due to its advanced technological infrastructure and high adoption of digital transformation initiatives across industries. The region boasts a strong presence of leading technological firms and startups that drive innovation in automation solutions. Additionally, significant investments in research and development, along with favorable government policies supporting automation further enhance market growth. The increasing demand for operational efficiency and cost reduction among enterprises also contributes to North America's dominance in this sector.

Key Players

The "Global Intelligent Process Automation Market" study report will provide valuable insight with an emphasis on the global market. The major players in the market are Tata Consultancy Services, Cognizant, Accenture, IBM Corporation, Genpact, Atos, Infosys, Capgemini, Xerox Corporation, Pegasystems, Wipro, Mindtree, and Others.

Our market analysis also entails a section solely dedicated to such major players wherein our analysts provide an insight into the financial statements of all the major players, along with product benchmarking and SWOT analysis. The competitive landscape section also includes key development strategies, market share, and market ranking analysis of the above-mentioned players globally.

Global Intelligent Process Automation Market Key Developments

• In June 2023, Robocorp, the forefront Intelligent Process Automation (IPA) company, announced its partnership with Siili Solutions Plc, a full-service development partner for innovating, designing, building, and running digital services. This collaboration brings together two champions of open-source automation and empowers organizations in their transition from legacy to new-generation intelligent process automation.

TABLE OF CONTENTS

1 INTRODUCTION OF GLOBAL INTELLIGENT PROCESS AUTOMATION MARKET

• 1.1 Overview of the Market
• 1.2 Scope of Report
• 1.3 Assumptions

2 EXECUTIVE SUMMARY

3 RESEARCH METHODOLOGY OF VERIFIED MARKET RESEARCH

• 3.1 Data Mining
• 3.2 Validation
• 3.3 Primary Interviews
• 3.4 List of Data Sources

4 GLOBAL INTELLIGENT PROCESS AUTOMATION MARKET OUTLOOK

• 4.1 Overview
• 4.2 Market Dynamics
  • 4.2.1 Drivers
  • 4.2.2 Restraints
  • 4.2.3 Opportunities
• 4.3. Porters Five Force Model
• 4.4. Value Chain Analysis

5 GLOBAL INTELLIGENT PROCESS AUTOMATION MARKET, BY TECHNOLOGY

• 5.1 Overview
• 5.2 Computer Vision
• 5.3 Machine Learning
• 5.4 Natural Language Processing
• 5.5 Virtual Agents
• 5.6 Others

6 GLOBAL INTELLIGENT PROCESS AUTOMATION MARKET, BY APPLICATION

• 6.1 Overview
• 6.2 Security
• 6.3 IT Operation
• 6.4 Application Management
• 6.5 Business Process Automation
• 6.6 Others

7 GLOBAL INTELLIGENT PROCESS AUTOMATION MARKET, BY VERTICAL

• 7.1 Overview
• 7.2 Manufacturing
• 7.3 Retail
• 7.4 BSFI
• 7.5 IT & Telecom
• 7.6 Healthcare
• 7.7 Others

8 GLOBAL INTELLIGENT PROCESS AUTOMATION MARKET, BY GEOGRAPHY

• 8.1 Overview
• 8.2 North America
  • 8.2.1 U.S.
  • 8.2.2 Canada
  • 8.2.3 Mexico
• 8.3 Europe
  • 8.3.1 Germany
  • 8.3.2 U.K.
  • 8.3.3 France
  • 8.3.4 Rest of Europe
• 8.4 Asia Pacific
  • 8.4.1 China
  • 8.4.2 Japan
  • 8.4.3 India
  • 8.4.4 Rest of Asia Pacific
• 8.5 Rest of the World
  • 8.5.1 Latin America
  • 8.5.2 Middle East and Africa

9 GLOBAL INTELLIGENT PROCESS AUTOMATION MARKET COMPETITIVE LANDSCAPE

• 9.1 Overview
• 9.2 Company Market Ranking
• 9.3 Key Development Strategies

10 COMPANY PROFILES

• 10.1 Tata Consultancy Service
  • 10.1.1 Overview
  • 10.1.2 Financial Performance
  • 10.1.3 Product Outlook
  • 10.1.4 Key Developments
• 10.2 Infosys
  • 10.2.1 Overview
  • 10.2.2 Financial Performance
  • 10.2.3 Product Outlook
  • 10.2.4 Key Developments
• 10.3 Cognizant
  • 10.3.1 Overview
  • 10.3.2 Financial Performance
  • 10.3.3 Product Outlook
  • 10.3.4 Key Developments
• 10.4 Accenture
  • 10.4.1 Overview
  • 10.4.2 Financial Performance
  • 10.4.3 Product Outlook
  • 10.4.4 Key Developments
• 10.5 Mindtree
  • 10.5.1 Overview
  • 10.5.2 Financial Performance
  • 10.5.3 Product Outlook
  • 10.5.4 Key Developments
• 10.6 Xerox Corporation
  • 10.6.1 Overview
  • 10.6.2 Financial Performance
  • 10.6.3 Product Outlook
  • 10.6.4 Key Developments
• 10.7 Capgemini
  • 10.7.1 Overview
  • 10.7.2 Financial Performance
  • 10.7.3 Product Outlook
  • 10.7.4 Key Developments
• 10.8 Atos
  • 10.8.1 Overview
  • 10.8.2 Financial Performance
  • 10.8.3 Product Outlook
  • 10.8.4 Key Developments
• 10.9 Genpact
  • 10.9.1 Overview
  • 10.9.2 Financial Performance
  • 10.9.3 Product Outlook
  • 10.9.4 Key Developments
• 10.10 IBM Corporation
  • 10.10.1 Overview
  • 10.10.2 Financial Performance
  • 10.10.3 Product Outlook
  • 10.10.4 Key Developments

11 Appendix

• 11.1 Related Research