AI+RAP市場レポート：動向、予測、競合分析 (2031年まで)

世界のAI+RAP市場の将来は、通信/IT、医療、小売業、製造業の各市場における機会で有望視されています。世界のAI+RAP市場は、2025年から2031年にかけてCAGR 14.4%で成長すると予測されます。この市場の主な促進要因は、業界全体におけるAIを活用したリスク評価・予測ソリューションに対する需要の増加、サイバー脅威の複雑化によりAIを活用したサイバーセキュリティリスク評価ツールに対する需要が高まっていること、規制要件の増加によりAIを活用したリスク分析・予防技術の採用が進んでいることです。

• Lucintelの予測では、種類別では、プロフェッショナルサービスが予測期間中に高い成長を遂げる見込みです。
• 用途別では、通信/ITが最も高い成長が見込まれます。
• 地域別では、アジア太平洋が予測期間中に最も高い成長が見込まれます。

AI+RAP市場の戦略的成長機会

AI+RAPは、新技術と効率的なソリューションに対する高い需要に後押しされ、アプリケーション全体にわたって様々な戦略的成長機会を持つエキサイティングな市場を提示しています。これらの機会は、利害関係者が市場での存在感を高めるのに役立つ可能性があります。

• 金融サービスの自動化：金融サービス業界は急速に変化し、AI+RAP技術を取り入れ、融資承認、コンプライアンス・チェック、顧客サービスで自動化されたプロセスを活用しています。自動化により、処理時間を最小限に抑え、運用コストを削減し、顧客サービスを向上させることができます。
• 医療管理：AI+RAPサービスは一般的に医療に適用され、予約、請求、データ入力などの管理業務を自動化しています。これにより、医療提供者は患者のケアにより多くの時間を割けるようになり、ミスを減らすことで業務効率が向上します。
• サプライチェーン管理：AI+RAPテクノロジーは、サプライチェーン・マネジメントにおける在庫管理と注文処理を変革します。ルートを最適化し、遅延を最小限に抑え、コストを削減し、サービス提供を改善します。
• 顧客関係管理（CRM）：AI+RAPテクノロジーは、リード生成、フォローアップ、カスタマーサポートを自動化することで、CRMシステムを強化します。これにより、企業は顧客に合わせた体験を提供し、顧客とのやり取りを強化し、販売転換率を高めることができます。
• 人事の自動化：AI+RAPソリューションは、採用、入社、従業員管理プロセスのために人事に導入されます。その結果、人事業務はより合理化され、候補者の経験や従業員の定着率が向上します。

財務、医療、サプライチェーン、CRM、人事などのアプリケーションに関するAI+RAP市場の戦略的成長機会は、効率性とイノベーションを効果的に推進するために探求すべきことが多いです。

AI+RAP市場の促進要因・課題

AI+RAP市場は、様々な技術的、経済的、規制的要因の影響を受けています。重要な利害関係者は、この変化する環境における促進要因と課題を理解することに関与しています。

AI+RAP市場を促進する要因には以下が含まれます：

• 技術の進歩：AIとRPA技術の急速な革新により、機能性、効率性、拡張性が向上し、複雑なプロセスの自動化が可能になり、業務効率が向上します。
• 業務効率化の需要の高まり：あらゆる業界が、業務を最適化し、コスト効率を向上させるソリューションを求めています。組織が自動化による効率向上の可能性を認識するにつれ、AI+RAPソリューションへの需要が高まっています。
• 政府の支援策：多くの政府は、資金援助や促進政策を通じてAI技術の導入を促進しています。規制による支援はAI+RAPソリューションへの投資を促し、市場のイノベーションを促進します。

AI+RAP市場の課題は以下の通りです：

• 導入コストの増大：AI+RAPソリューションの導入には多額の資本投資が必要となるため、小規模な組織には手が届かず、より広範な導入とイノベーションが阻害される可能性があります。
• データ・プライバシーの懸念：データ主導型ソリューションへの依存度が高まるにつれ、データのプライバシーとセキュリティに関する問題に対処する必要性が高まります。企業は、データ利用に関する規制や社会的な懸念に対処しなければならず、AIの導入が制限される可能性があります。
• 熟練した人材の不足：高度なAI+RAPソリューションを設計・実装するスキルを持つ専門家が不足しています。この不足が市場の革新と成長を制限しています。

これらの促進要因と課題の相互作用がAI+RAP市場を形成し、イノベーションと成長を定義します。主要な促進要因を活用することで、利害関係者は新たな機会を捉えながら市場環境をナビゲートすることができます。

目次

第1章 エグゼクティブサマリー

第2章 世界のAI+RAP市場：市場力学

• イントロダクション、背景、分類
• サプライチェーン
• 業界の促進要因と課題

第3章 市場動向と予測分析 (2019年～2031年)

• マクロ経済動向 (2019～2024年) と予測 (2025～2031年)
• 世界のAI+RAP市場の動向 (2019～2024年) と予測 (2025～2031年)
• 世界のAI+RAP市場：種類別
  • プロフェッショナルサービス
  • トレーニングサービス
• 世界のAI+RAP市場：用途別
  • 通信/IT
  • 医療
  • 小売業
  • 製造業
  • その他

第4章 地域別の市場動向と予測分析 (2019年～2031年)

• 世界のAI+RAP市場：地域別
• 北米のAI+RAP市場
• 欧州のAI+RAP市場
• アジア太平洋のAI+RAP市場
• その他地域のAI+RAP市場

第5章 競合分析

• 製品ポートフォリオ分析
• 運用統合
• ポーターのファイブフォース分析

第6章 成長機会と戦略分析

• 成長機会分析
  • 世界のAI+RAP市場の成長機会：種類別
  • 世界のAI+RAP市場の成長機会：用途別
  • 世界のAI+RAP市場の成長機会：地域別
• 世界のAI+RAP市場の新たな動向
• 戦略的分析
  • 新製品の開発
  • 世界のAI+RAP市場の生産能力拡大
  • 世界のAI+RAP市場における企業合併・買収 (M&A)、合弁事業
  • 認証とライセンシング

第7章 主要企業のプロファイル

• Intellibot
• Edgeverve
• Uipath
• Kryon
• Larcai
• Automation Anywhere
• Blue Prism

The future of the global AI+RAP market looks promising with opportunities in the telecom/IT, healthcare, retail, and manufacturing markets. The global AI+RAP market is expected to grow with a CAGR of 14.4% from 2025 to 2031. The major drivers for this market are an increase in demand for AI-driven risk assessment and prediction solutions across industries, rising complexity of cyber threats fueling demand for AI-enhanced cybersecurity risk assessment tools, and growth of regulatory requirements driving adoption of AI-powered risk analysis and prevention technologies.

• Lucintel forecasts that, within the type category, the professional service is expected to witness higher growth over the forecast period.
• Within the application category, telecom/IT is expected to witness the highest growth.
• In terms of regions, APAC is expected to witness the highest growth over the forecast period.

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Emerging Trends in the AI+RAP Market

The AI+RAP market is transforming due to many emerging trends that are changing business operations and enhancing efficiencies. These trends have emerged because advancements are one step ahead in interlinking AI technologies with RPA solutions, which are bound to bring innovation and competitiveness across all sectors.

• Intelligent automation: The marriage between AI and RPA is driving intelligent automation that boosts process efficiencies. Organizations are adopting AI capabilities to identify and analyze data, make decisions, and optimize workflow management, resulting in major cost savings and faster processing times.
• Enhanced Data Analytics: AI+RAP technologies are being used today to understand advanced data analytics. Organizations bring large sets of data, making operations more action-oriented while improving customer experience. This creates a data-driven culture within organizations.
• Cloud-based solutions: The shift to cloud computing is promoting the integration of AI+RAP technologies. Cloud-based platforms enable enterprises to scale up automation efforts, reduce infrastructure costs, and improve access; these are the three most critical factors for firms to smoothly launch and implement AI+RAP solutions.
• Focus on Cybersecurity: As automation becomes the order of the day, the focus has shifted toward cybersecurity and methodologies. Organizations are embedding AI-driven security solutions in their RPA frameworks to protect sensitive data and ensure regulatory compliance, enhancing their overall security posture.
• Workforce Collaboration: AI+RAP fosters collaboration between humans and machines. Organizations are developing hybrid forms of work where AI systems assist in decision-making and repetitive tasks, freeing human workers for more complex, strategic functions.

As such, these emerging trends are significantly reshaping the AI+RAP market, driving efficiency, and enhancing operational capabilities across various sectors. Organizations can seize this opportunity by focusing on intelligent automation, data analytics, cloud solutions, cybersecurity, and workforce collaboration, using AI+RAP technologies to lead the competition.

Recent Developments in the AI+RAP Market

Recent AI+RAP developments in the market reveal how quickly it is integrating AI and automation across various industries. More companies are investing in these solutions to boost productivity and operational efficiency. As AI+RAP technology develops, business processes continue to be revamped, opening new opportunities for innovation.

• AI-Based RPA Tools: The latest RPA tools are equipped with AI. They learn from data and adapt over time, making automation smart decision-making and enabling the completion of more complex tasks with maximum efficiency.
• Integration of Natural Language Processing: NLP allows organizations to automate customer interactions effectively through AI+RAP solutions. This results in effective chatbots and virtual assistants, improving customer service with streamlined communication while enhancing user experience.
• Real-Time Analytics Capabilities: New AI+RAP solutions now contain real-time analytics capabilities. This allows organizations to monitor and measure performance metrics and operational data in real-time, enabling dynamic decision-making and changes in workflows, thereby increasing overall efficiency.
• Growth of No-Code Platforms: No-code platforms in the AI+RAP market democratize access to automation technologies, enabling business users without deep programming knowledge to create and manage automation workflows, empowering teams to innovate quickly and reducing dependency on IT.
• An Emphasis on Compliance and Ethics: In synchronism with the boom in AI technologies are advancements in incorporating compliance and ethics in AI+RAP implementations. Organizations require transparency and fairness in AI algorithms, ensuring that automation does not violate regulatory standards.

These developments have significantly affected the AI+RAP market by enhancing automation capabilities and services, along with better user experience and innovation. As more organizations adopt advanced forms, they can streamline operations to gain greater efficiency.

Strategic Growth Opportunities for AI+RAP Market

AI+RAP presents an exciting market with various strategic growth opportunities across applications, driven by new technology and high demand for efficient solutions. These opportunities may help stakeholders enhance their market presence.

• Financial Services Automation: The financial services industry is rapidly changing and embracing AI+RAP technologies, utilizing automated processes in loan approval, compliance checks, and customer service. Automation minimizes processing time, cuts operational costs, and improves customer service.
• Healthcare Administration: AI+RAP services are commonly applied in healthcare to automate administrative tasks, such as scheduling appointments, billing, and data entry. This allows healthcare providers more time to care for patients and reduces errors, thereby increasing operational efficiency.
• Supply Chain Management: AI+RAP technologies transform inventory management and order processing in supply chain management. They optimize routes, minimize delays, save costs, and improve service delivery.
• Customer Relationship Management (CRM): AI+RAP technologies enhance CRM systems by automating lead generation, follow-ups, and customer support. This allows businesses to deliver tailored experiences, enhance customer interactions, and boost sales conversions.
• HR Automation: AI+RAP solutions are implemented in HR for recruitment, onboarding, and employee management processes. As a result, HR operations become more streamlined, improving candidate experience and employee retention rates.

The strategic growth opportunities in the AI+RAP market regarding applications such as finance, healthcare, supply chain, CRM, and HR have much to explore to effectively drive efficiency and innovation.

AI+RAP Market Driver and Challenges

The AI+RAP market is influenced by various technological, economic, and regulatory factors. Critical stakeholders are involved in understanding the drivers and challenges within this changing landscape.

The factors driving the AI+RAP market include:

• Technological Advancements: Rapid innovation in AI and RPA technologies, with improved functionalities, efficiency, and scalability, enables the automation of complex processes, enhancing operational effectiveness.
• Increasing Demand for Operational Efficiency: All industries seek solutions to optimize operations and improve cost-efficiency. The demand for AI+RAP solutions is growing as organizations recognize the potential for efficiency gains through automation.
• Supportive Government Initiatives: Many governments promote AI technology adoption through funding and facilitating policies. Regulatory support encourages investments in AI+RAP solutions, driving innovation in the market.

Challenges in the AI+RAP market include:

• Greater Implementation Cost: Deploying AI+RAP solutions may require substantial capital investment, making them inaccessible for smaller organizations and stifling broader adoption and innovation.
• Data Privacy Concerns: Increased reliance on data-driven solutions raises the need to address issues around data privacy and security. Companies must navigate regulations and public concerns regarding data usage, which may limit AI adoption.
• Lack of Skilled Talent: There is a deficit of professionals with the skills to design and implement advanced AI+RAP solutions. This shortage limits innovation and growth in the market.

The interplay between these drivers and challenges shapes the AI+RAP market, defining innovation and growth. Leveraging key drivers enables stakeholders to navigate the market landscape while capturing emerging opportunities.'

List of AI+RAP Companies

Companies in the market compete on the basis of product quality offered. Major players in this market focus on expanding their manufacturing facilities, R&D investments, infrastructural development, and leverage integration opportunities across the value chain. Through these strategies AI+RAP companies cater increasing demand, ensure competitive effectiveness, develop innovative products & technologies, reduce production costs, and expand their customer base. Some of the AI+RAP companies profiled in this report include-

• Intellibot
• Edgeverve
• Uipath
• Kryon
• Larcai
• Automation Anywhere
• Blue Prism

AI+RAP by Segment

The study includes a forecast for the global AI+RAP market by type, application, and region.

AI+RAP Market by Type [Analysis by Value from 2019 to 2031]:

• Professional Service
• Training Services

AI+RAP Market by Application [Analysis by Value from 2019 to 2031]:

• Telecom/IT
• Healthcare
• Retail
• Manufacturing
• Others

AI+RAP Market by Region [Analysis by Value from 2019 to 2031]:

• North America
• Europe
• Asia Pacific
• The Rest of the World

Country Wise Outlook for the AI+RAP Market

The growth in the AI+RAP market is transformational, driven by advances in automation technologies and the rise in AI adoption across industries. Key countries, such as the United States, China, Germany, India, and Japan, are making significant strides in integrating AI with RPA solutions to improve operational efficiencies and decision-making processes. This change represents a global shift toward smarter, more automated workflows, transforming businesses and their operations as value drivers.

• United States: Major US-based tech giants are spearheading innovation in AI+RAP, leveraging machine learning with robotic process automation. Businesses are using these technologies to create better workflows, reduce costs, and improve customer experience. Notably, the ability to act immediately with real-time insights enhances decision-making through advanced data analytics capabilities. Government programs promoting AI research foster greater innovation and strengthen the country's position in the AI+RAP landscape.
• China: China is aggressively advancing its AI+RAP capabilities, supported by government investment. The country focuses on smart manufacturing and urban management, enhancing efficiency and productivity through AI+RAP. Banks and logistics companies are adopting these technologies to improve delivery times and services, fundamentally transforming traditional industries and positioning China as a leader in the global AI+RAP market.
• Germany: Germany is at the forefront of integrating AI+RAP in manufacturing and engineering, promoting Industry 4.0 initiatives that incorporate AI technologies and automate production lines. Innovation is fostered through collaborations between industry leaders and research institutions, with the government ensuring ethical AI use, advancing Germany's position in the AI+RAP space.
• India: India is booming with AI+RAP technologies, driven by a growing startup ecosystem and increased digitalization. Companies are encouraged to adopt these solutions to enhance finance, healthcare, and e-commerce processes. Government initiatives support AI adoption, compelling businesses to invest in automation, creating jobs in technology-driven areas, and positioning India as an emerging leader in the global AI+RAP market.
• Japan: Japan aims to develop AI+RAP solutions through technological expertise, particularly in robotics and automation. The country integrates AI with RPA solutions in manufacturing, healthcare, and logistics, improving productivity and efficiency. Japanese enterprises innovate using AI-driven analytics, enhancing operational decisions and resource allocation. Government support for research and development is essential for ensuring Japan remains a strong player in the AI+RAP market.

Features of the Global AI+RAP Market

Market Size Estimates: AI+RAP market size estimation in terms of value ($B).

Trend and Forecast Analysis: Market trends (2019 to 2024) and forecast (2025 to 2031) by various segments and regions.

Segmentation Analysis: AI+RAP market size by type, application, and region in terms of value ($B).

Regional Analysis: AI+RAP market breakdown by North America, Europe, Asia Pacific, and Rest of the World.

Growth Opportunities: Analysis of growth opportunities in different type, application, and regions for the AI+RAP market.

Strategic Analysis: This includes M&A, new product development, and competitive landscape of the AI+RAP market.

Analysis of competitive intensity of the industry based on Porter's Five Forces model.

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This report answers following 11 key questions:

• Q.1. What are some of the most promising, high-growth opportunities for the AI+RAP market by type (professional service and training services), application (telecom/IT, healthcare, retail, manufacturing, and others), and region (North America, Europe, Asia Pacific, and the Rest of the World)?
• Q.2. Which segments will grow at a faster pace and why?
• Q.3. Which region will grow at a faster pace and why?
• Q.4. What are the key factors affecting market dynamics? What are the key challenges and business risks in this market?
• Q.5. What are the business risks and competitive threats in this market?
• Q.6. What are the emerging trends in this market and the reasons behind them?
• Q.7. What are some of the changing demands of customers in the market?
• Q.8. What are the new developments in the market? Which companies are leading these developments?
• Q.9. Who are the major players in this market? What strategic initiatives are key players pursuing for business growth?
• Q.10. What are some of the competing products in this market and how big of a threat do they pose for loss of market share by material or product substitution?
• Q.11. What M&A activity has occurred in the last 5 years and what has its impact been on the industry?

Table of Contents

1. Executive Summary

2. Global AI+RAP Market: Market Dynamics

• 2.1: Introduction, Background, and Classifications
• 2.2: Supply Chain
• 2.3: Industry Drivers and Challenges

3. Market Trends and Forecast Analysis from 2019 to 2031

• 3.1. Macroeconomic Trends (2019-2024) and Forecast (2025-2031)
• 3.2. Global AI+RAP Market Trends (2019-2024) and Forecast (2025-2031)
• 3.3: Global AI+RAP Market by Type
  • 3.3.1: Professional Service
  • 3.3.2: Training Services
• 3.4: Global AI+RAP Market by Application
  • 3.4.1: Telecom/IT
  • 3.4.2: Healthcare
  • 3.4.3: Retail
  • 3.4.4: Manufacturing
  • 3.4.5: Others

4. Market Trends and Forecast Analysis by Region from 2019 to 2031

• 4.1: Global AI+RAP Market by Region
• 4.2: North American AI+RAP Market
  • 4.2.1: North American AI+RAP Market by Type: Professional Service and Training Services
  • 4.2.2: North American AI+RAP Market by Application: Telecom/IT, Healthcare, Retail, Manufacturing, and Others
• 4.3: European AI+RAP Market
  • 4.3.1: European AI+RAP Market by Type: Professional Service and Training Services
  • 4.3.2: European AI+RAP Market by Application: Telecom/IT, Healthcare, Retail, Manufacturing, and Others
• 4.4: APAC AI+RAP Market
  • 4.4.1: APAC AI+RAP Market by Type: Professional Service and Training Services
  • 4.4.2: APAC AI+RAP Market by Application: Telecom/IT, Healthcare, Retail, Manufacturing, and Others
• 4.5: ROW AI+RAP Market
  • 4.5.1: ROW AI+RAP Market by Type: Professional Service and Training Services
  • 4.5.2: ROW AI+RAP Market by Application: Telecom/IT, Healthcare, Retail, Manufacturing, and Others

5. Competitor Analysis

• 5.1: Product Portfolio Analysis
• 5.2: Operational Integration
• 5.3: Porter's Five Forces Analysis

6. Growth Opportunities and Strategic Analysis

• 6.1: Growth Opportunity Analysis
  • 6.1.1: Growth Opportunities for the Global AI+RAP Market by Type
  • 6.1.2: Growth Opportunities for the Global AI+RAP Market by Application
  • 6.1.3: Growth Opportunities for the Global AI+RAP Market by Region
• 6.2: Emerging Trends in the Global AI+RAP Market
• 6.3: Strategic Analysis
  • 6.3.1: New Product Development
  • 6.3.2: Capacity Expansion of the Global AI+RAP Market
  • 6.3.3: Mergers, Acquisitions, and Joint Ventures in the Global AI+RAP Market
  • 6.3.4: Certification and Licensing

7. Company Profiles of Leading Players

• 7.1: Intellibot
• 7.2: Edgeverve
• 7.3: Uipath
• 7.4: Kryon
• 7.5: Larcai
• 7.6: Automation Anywhere
• 7.7: Blue Prism