한글목차

AI 컨설팅 도구 동향 및 예측

세계 AI 컨설팅 도구 시장은 2024년부터 2030년까지 연평균 복합 성장률(CAGR) 32.4%로 성장할 것으로 예상됩니다. 이 시장의 주요 촉진요인은 AI 전문 지식과 구현에 대한 수요 증가, AI 기술의 급속한 진화 및 AI 구현의 복잡성 증가입니다. 컨설팅 도구 시장의 미래는 제조, 건강 관리, 소매 및 금융 시장의 기회에 유망시되고 있습니다.

• Lucintel에서는 유형별로는 AI 전략이 예측 기간 중에 가장 높은 성장을 이룰 것으로 예측했습니다.
• 용도별로는 제조업이 최대 부문으로 계속될 것으로 예측됩니다.
• 지역별로는 APAC가 예측기간 중에 가장 높은 성장을 이룰 전망입니다.

AI 컨설팅 도구 시장의 전략적 성장 기회

AI 컨설팅 도구 시장의 전략적 성장 기회는 AI 기술의 채용 확대와 혁신적인 솔루션에 대한 수요 증가를 반영하여 다양한 용도로 출현하고 있습니다. 경쟁 우위와 비즈니스 효율성을 높이려는 기업에게 매우 중요합니다.

• 헬스케어 AI 솔루션: AI 컨설팅 도구은 예측 분석, 맞춤 치료 계획, 업무 효율화를 통해 헬스케어의 성과를 향상시키기 위해 점점 이용되고 있습니다. 보다 정확한 진단의 필요성과 전자 차트와 AI의 통합에 의해 초래됩니다.
• 금융 서비스 자동화: 금융 서비스 부문은 사기 감지, 위험 관리, 고객 서비스 자동화에 AI 도구를 활용하고 있습니다.
• 소매업 및 전자상거래 강화: AI 컨설팅 도구은 개인화된 쇼핑 경험, 재고 관리 및 수요 예측을 가능하게 함으로써 소매업 및 전자상거래에 변화를 가져오고 있습니다. 참여를 최적화하고 업무를 합리화하기 위한 AI의 이용이 증가하고 있음을 반영하고 있습니다.
• 제조 및 인더스트리 4.0 : AI 도구는 예측 유지 보수, 품질 관리 및 공급망 최적화를 통해 제조 공정를 개선함으로써 인더스트리 4.0을 추진하는 데 중요한 역할을 합니다. 오퍼레이션 엑셀렌스를 추진하는 AI의 가능성을 부조로 합니다.
• 교육 혁신 : 교육 및 훈련 분야에서 AI 컨설팅 도구는 개인화된 학습 경험을 창출하고, 관리 업무를 자동화하고, 학생들의 참여를 강화하는 데 활용됩니다. 효율적인 교육 솔루션에 대한 요구에 의해 제공됩니다.

이러한 전략적 성장 기회는 AI 컨설팅 도구의 다양한 용도와 다양한 분야에서 상당한 개선을 가져올 가능성을 돋보이게 하고 있습니다. 그리고 진화하는 시장 수요에 부응할 수 있습니다.

AI 컨설팅 도구 시장 성장 촉진요인·과제

기술의 진보, 경제 동향, 규제 요인이 AI 컨설팅 도구 시장을 형성하기 위해 집결하고 있습니다. 채용 등 과제로는 규제 문제, 데이터 프라이버시 문제, AI 비용 등이 있으며, 일부 조직에서는 가능하지 않을 수 있습니다.

AI 컨설팅 도구 시장을 견인하는 요인은 다음과 같습니다.

• 머신 러닝 기술 개발: 머신 러닝 알고리즘 및 도구 개선은 AI 컨설팅 서비스에 새로운 전망을 제공합니다. 엔터프라이즈에게 AI 기술의 끊임없는 혁신을 통해 이러한 컨설팅 도구는 최신 또는 최첨단 서비스를 제공하는 중요한 솔루션으로 자리매김하고 있습니다.
• 업계를 뛰어넘는 AI 도입 동향 증가: AI는 의료, 금융, 제조업, 소매업 등 프로세스, 분석, 고객 서비스의 자동화를 목적으로 한 폭넓은 분야에 응용을 위한 특정 분야에 특화 된 것에서 마이그레이션 점점 더 많은 개인과 조직이 AI 솔루션을 활용하기 시작하면서 이러한 솔루션의 시작, 통합 및 최적화를 촉진하는 컨설팅 도구에 대한 수요가 높아지고 있습니다.
• 레거시 시스템의 AI 통합 요구 사항: 대부분의 조직에서 가장 큰 과제 중 하나는 레거시 시스템에 AI를 통합하는 것입니다. 이 복잡한 문제를 해결하는 것을 돕습니다. 신구의 기술을 제휴시키는는 이 요건은 시장의 강력한 촉진요인의 하나로 꼽히고 있습니다.
• 경쟁 우위 획득에 대한 압박: 경쟁이 치열한 시장에서 기업은 비즈니스 효율성의 혁신과 강화를 강력히 요구하고 있습니다. 경쟁 우위를 얻기 위한 전략과 솔루션을 제공합니다.

AI 컨설팅 도구 시장의 과제는 다음과 같습니다.

• 규제 우려와 컴플라이언스 문제 : AI 사용을 둘러싼 규제 상황은 시시각각 변화하고 있습니다. 이 모든 요구 사항에 대한 준수를 보장해야하므로 AI 컨설팅 도구의 도입이 지연 될 수 있습니다.
• AI 도입 비용의 높이: 모든 비즈니스에서 특히 소규모 기업의 경우 AI를 활용하는 비용은 엄청난 비용이 될 수 있습니다. 숙련된 노동력, 소프트웨어나 하드웨어에 대한 투자에 관련하는 고액의 비용이 드는 경우가 많습니다.그 결과, 대부분의 소규모 기업에 있어서, AI의 통합에는 한계가 있습니다.
• 데이터 프라이버시 및 보안 : AI 시스템은 효과적인 운영을 위해 많은 양의 데이터를 소비하므로 데이터 프라이버시와 보안에 큰 우려가 있습니다. 도구의 전면적인 채용을 방해할 가능성이 있습니다.안전한 데이터 관리에 다액의 투자를 실시하는 것은 복잡하고 곤란하고, AI의 통합을 늦출 가능성이 있습니다.

AI 컨설팅 도구 시장 성장 촉진요인으로는 기술 발전, 수요 증가, 경쟁 차별화의 필요성 등이 있습니다. 일부입니다. AI 시장의 성장은 AI의 광범위한 도입에 의해 점점 홍보될 가능성이 높습니다. 존재합니다.

목차

제1장 주요 요약

제2장 세계의 AI 컨설팅 도구 시장 : 시장 역학

• 소개, 배경, 분류
• 공급망
• 업계의 촉진요인과 과제

제3장 시장 동향과 예측 분석(2018-2030년)

• 거시경제 동향(2018-2023년)과 예측(2024-2030년)
• 세계의 AI 컨설팅 도구 시장 동향(2018-2023)과 예측(2024-2030)
• 유형별: AI 컨설팅 도구 세계 시장
  • AI 전략
  • AI 준비
  • AI 구현
• 용도별 : AI 컨설팅 도구 세계 시장
  • 제조업
  • 헬스케어
  • 소매
  • 금융

제4장 지역별 시장 동향과 예측 분석(2018-2023년)

• 지역별 AI 컨설팅 도구 시장
• 북미의 AI 컨설팅 도구 시장
• 유럽의 AI 컨설팅 도구 시장
• 아시아태평양의 AI 컨설팅 도구 시장
• 기타 지역의 AI 컨설팅 도구 시장

제5장 경쟁 분석

• 제품 포트폴리오 분석
• 운영 통합
• Porter's Five Forces 분석

제6장 성장 기회와 전략 분석

• 성장 기회 분석
  • 유형별 세계의 AI 컨설팅 도구 시장의 성장 기회
  • 용도별 세계의 AI 컨설팅 도구 시장의 성장 기회
  • 지역별 세계의 AI 컨설팅 도구 시장의 성장 기회
• 세계의 AI 컨설팅 도구 시장의 새로운 동향
• 전략 분석
  • 신제품 개발
  • 세계의 AI 컨설팅 도구 시장의 용량 확대
  • 세계의 AI 컨설팅 도구 시장에서의 합병, 인수, 합작 사업
  • 인증 및 라이선싱

제7장 주요 기업의 기업 프로파일

• Neurons
• Tome
• Validator AI
• Legal Robot
• Gong
• Fireflies
• Henchman

영문목차

AI Consulting Tool Trends and Forecast

The future of the global AI consulting tool market looks promising with opportunities in the manufacturing, healthcare, retail, and finance markets. The global AI consulting tool market is expected to grow with a CAGR of 32.4% from 2024 to 2030. The major drivers for this market are increased demand for AI expertise and implementation, rapid evolution of AI technologies, as well as, rising complexity of AI implementation.

• Lucintel forecasts that, within the type category, AI strategy is expected to witness the highest growth over the forecast period.
• Within the application category, manufacturing will remain the largest segment.
• 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 Consulting Tool Market

Emerging trends in the AI consulting tool market reflect ongoing innovations and shifts in how businesses leverage AI technologies. These trends are shaping the future of AI consulting by influencing the development of tools and services tailored to meet evolving demands and challenges.

• Cloud-Based AI Solutions: Cloud-based AI tools are becoming increasingly popular due to their scalability and flexibility. These solutions allow businesses to access advanced AI capabilities without substantial upfront investments in infrastructure. They also facilitate real-time data processing and integration across various platforms, enhancing overall operational efficiency.
• Explainable AI: There is a growing emphasis on explainable AI (XAI) to ensure transparency and accountability in AI systems. Explainable AI tools help users understand how AI decisions are made, which is crucial for regulatory compliance and building trust. This trend is particularly important in sectors like finance and healthcare, where decision transparency is critical.
• AI Integration with IoT: The integration of AI with the Internet of Things (IoT) is driving advancements in smart systems and automation. AI-powered IoT solutions enable more intelligent and adaptive responses to real-time data, enhancing operational efficiency in industries such as manufacturing, logistics, and smart home systems.
• Increased Focus on Data Privacy: With growing concerns about data privacy, there is an increased focus on developing AI tools that prioritize data protection and compliance with regulations. This trend reflects a broader commitment to safeguarding user information and addressing the ethical implications of AI technology.
• AI-Driven Decision Support Systems: AI-driven decision support systems are gaining traction as businesses seek to leverage AI for strategic planning and operational decisions. These systems use advanced analytics and machine learning to provide actionable insights, improve forecasting accuracy, and support more informed decision-making.

These emerging trends are significantly reshaping the AI consulting tool market by driving innovation and addressing key challenges. The focus on cloud solutions, explain ability, IoT integration, data privacy, and decision support reflects the industry's efforts to enhance AI capabilities and meet evolving user needs.

Recent Developments in the AI Consulting Tool Market

Recent developments in the AI consulting tool market highlight significant advancements and shifts that are transforming how AI is applied across various industries. These developments reflect technological progress, market expansion, and evolving customer needs, providing a snapshot of the current landscape.

• Enhanced AI Algorithms: Recent advancements in AI algorithms have led to more accurate and efficient tools. Improved machine learning models and natural language processing capabilities are enabling AI consulting tools to offer deeper insights and more effective solutions across different sectors.
• Increased Investment in AI Research: There has been a notable increase in investment from both private and public sectors in AI research. This funding is accelerating the development of innovative AI tools and solutions, driving advancements in areas such as predictive analytics, automation, and personalized services.
• Expansion of AI Use Cases: The range of AI use cases has expanded significantly, with tools now being applied in diverse areas such as supply chain management, customer service, and human resources. This expansion reflects the growing recognition of AI's potential to address various business challenges and opportunities.
• Growth in the AI Talent Pool: The growth in the AI talent pool is supporting the development and implementation of advanced AI consulting tools. More skilled professionals are entering the field, contributing to innovations and enhancing the capabilities of AI solutions offered by consulting firms.
• Increased Regulatory Focus: There is an increasing focus on regulatory compliance within the AI consulting tool market. Governments and regulatory bodies are developing guidelines and standards for the use of AI, influencing the design and deployment of these tools to ensure ethical and legal adherence.

These developments are impacting the AI consulting tool market by driving technological innovation, expanding use cases, and influencing regulatory practices. The combined effect of these factors is shaping a dynamic and rapidly evolving market landscape.

Strategic Growth Opportunities for AI Consulting Tool Market

Strategic growth opportunities in the AI consulting tool market are emerging across various applications, reflecting the increasing adoption of AI technologies and the growing demand for innovative solutions. Identifying these opportunities is crucial for businesses looking to leverage AI for competitive advantage and operational efficiency.

• Healthcare AI Solutions: AI consulting tools are increasingly being used to improve healthcare outcomes through predictive analytics, personalized treatment plans, and operational efficiencies. This growth opportunity is driven by the need for more accurate diagnostics and the integration of AI with electronic health records.
• Financial Services Automation: The financial services sector is leveraging AI tools for fraud detection, risk management, and customer service automation. This opportunity is fueled by the need for enhanced security and efficiency in financial transactions and regulatory compliance.
• Retail and E-Commerce Enhancements: AI consulting tools are transforming retail and e-commerce by enabling personalized shopping experiences, inventory management, and demand forecasting. This growth opportunity reflects the increasing use of AI to optimize customer engagement and streamline operations.
• Manufacturing and Industry 4.0: AI tools are playing a critical role in advancing Industry 4.0 by improving manufacturing processes through predictive maintenance, quality control, and supply chain optimization. This opportunity highlights the potential of AI to drive operational excellence in industrial settings.
• Education and Training Innovations: In education and training, AI consulting tools are being used to create personalized learning experiences, automate administrative tasks, and enhance student engagement. This growth opportunity is driven by the need for more adaptive and efficient educational solutions.

These strategic growth opportunities highlight the diverse applications of AI consulting tools and their potential to drive significant improvements across various sectors. Leveraging these opportunities can help businesses achieve operational excellence and meet evolving market demands.

AI Consulting Tool Market Driver and Challenges

Technological advances, economic trends, and regulatory factors have converged to shape the AI consulting tool market. Important drivers include the growing demand for AI solutions, rapid progress in machine learning, and the adoption of AI across industries. Some challenges include regulatory issues, data privacy concerns, and the high cost of AI, which may be unaffordable for some organizations. All these driving forces steer the market's growth and direction.

The factors responsible for driving the AI consulting tool market include:

• Technological Development in Machine Learning: Improvements in algorithms and tools for machine learning present new prospects for AI consulting services. By offering more accurate predictions, insights, and solutions, consulting tools provide businesses with the capacity to effectively deploy AI. Continuous innovations in AI technology position these consulting tools as crucial solutions for delivering updated or cutting-edge offerings.
• Rising Trend of AI Adoption Across Industries: AI is shifting from a domain-specific field toward broader application across sectors such as healthcare, finance, manufacturing, and retail to automate processes, analytics, and customer services. As more individuals and organizations begin to utilize AI solutions, the demand for consulting tools that facilitate the launch, integration, and optimization of these solutions increases.
• Requirement for AI Integration in Legacy Systems: One of the biggest challenges for most organizations remains the incorporation of AI with legacy systems. AI consulting tools help businesses navigate this complexity while ensuring that integration is as seamless as the existing business systems. This requirement to align old and new technologies ranks among the strongest driving factors for the market.
• Pressure to Acquire Competitive Advantage: In highly competitive markets, organizations have a strong need to innovate and enhance operational efficiency. AI consulting tools provide strategies and solutions that help companies gain a competitive edge through faster decision-making using predictive analytics and automation of tasks. This competitive landscape is likely to drive the demand for more AI consulting services.

Challenges in the AI consulting tool market include:

• Regulatory Concerns and Compliance Issues: The regulatory landscape surrounding AI usage is ever-changing. Governments have tightened regulations regarding AI, especially concerning data privacy, security, and ethics. These regulations can slow the deployment of AI consulting tools, as businesses must ensure compliance with all these requirements, adding complexity and expense to implementation.
• High Implementation Costs of AI: The cost of exploiting AI in any business, particularly for small-scale enterprises, can be prohibitive. Integrating AI tools into the consulting sphere often involves high expenses related to skilled labor and software and hardware investments. Consequently, AI integration has a limited gateway for most small-budget organizations.
• Data Privacy and Security: AI systems consume large volumes of data to operate effectively, raising significant concerns about data privacy and security. Potential breaches and misuse of sensitive information may hinder the full adoption of AI consulting tools. Heavily investing in secure data management can be complex and challenging, which may delay the integration of AI.

Drivers of the AI consulting tool market include technological advancements, rising demand, and the need for competitive differentiation. However, regulatory barriers, costs, and data security concerns remain some of the existing challenges. The growth in the AI market is likely to be increasingly driven by the wider adoption of AI; however, there will still be many hurdles, such as regulatory and cost barriers, along with ensuring data security to unlock the full potential of AI consulting tools.

List of AI Consulting Tool 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 consulting tool companies cater increasing demand, ensure competitive effectiveness, develop innovative products & technologies, reduce production costs, and expand their customer base. Some of the AI consulting tool companies profiled in this report include-

• Neurons
• Tome
• Validator AI
• Legal Robot
• Gong
• Fireflies
• Henchman

AI Consulting Tool by Segment

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

AI Consulting Tool Market by Type [Analysis by Value from 2018 to 2030]:

• AI Strategy
• AI Readiness
• AI Implementation

AI Consulting Tool Market by Application [Analysis by Value from 2018 to 2030]:

• Manufacturing
• Healthcare
• Retail
• Finance

AI Consulting Tool Market by Region [Analysis by Value from 2018 to 2030]:

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

Country Wise Outlook for the AI Consulting Tool Market

The AI consulting tool market has been evolving rapidly as businesses and governments increasingly leverage artificial intelligence to optimize operations, enhance decision-making, and drive innovation. Recent developments in this space reflect advancements in technology, shifting market dynamics, and varying regional trends that highlight the diverse applications and growth trajectories of AI consulting tools globally.

• United States: In the U.S., AI consulting tools are advancing with a focus on enterprise integration and advanced analytics. Companies are increasingly investing in AI-driven platforms for enhanced data processing and decision support. There is a notable rise in partnerships between tech firms and consulting agencies aimed at providing tailored AI solutions for sectors such as finance, healthcare, and retail.
• China: China's AI consulting tool market is expanding rapidly due to strong government support and investment in AI research. The focus is on developing tools for smart city initiatives and manufacturing optimization. Chinese firms are also emphasizing AI-powered solutions for cybersecurity and data privacy, reflecting the nation's broader strategic goals in technology and innovation.
• Germany: In Germany, AI consulting tools are being integrated into the automotive and industrial sectors, driven by the country's emphasis on Industry 4.0. There is a growing trend toward developing AI tools that enhance operational efficiency and support digital transformation. Additionally, German firms prioritize ethical AI use and regulatory compliance in their consulting strategies.
• India: India is witnessing a surge in AI consulting tools aimed at scaling businesses and improving customer experiences. Startups and tech companies are focusing on AI solutions for sectors such as education, healthcare, and agriculture. The emphasis is on affordability and accessibility, enabling small and medium enterprises to benefit from advanced AI technologies.
• Japan: Japan's AI consulting tool market is characterized by innovations in robotics and automation. There is a strong focus on integrating AI with traditional industries to enhance productivity. Japanese firms are also exploring AI-driven solutions for elderly care and disaster management, reflecting the country's unique societal needs and technological capabilities.

Features of the Global AI Consulting Tool Market

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

Trend and Forecast Analysis: Market trends (2018 to 2023) and forecast (2024 to 2030) by various segments and regions.

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

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

Growth Opportunities: Analysis of growth opportunities in different types, applications, and regions for the AI consulting tool market.

Strategic Analysis: This includes M&A, new product development, and competitive landscape of the AI consulting tool 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 consulting tool market by type (AI strategy, AI readiness, and AI implementation), application (manufacturing, healthcare, retail, and finance), 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?
• Market Report

Table of Contents

1. Executive Summary

2. Global AI Consulting Tool 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 2018 to 2030

• 3.1. Macroeconomic Trends (2018-2023) and Forecast (2024-2030)
• 3.2. Global AI Consulting Tool Market Trends (2018-2023) and Forecast (2024-2030)
• 3.3: Global AI Consulting Tool Market by Type
  • 3.3.1: AI Strategy
  • 3.3.2: AI Readiness
  • 3.3.3: AI Implementation
• 3.4: Global AI Consulting Tool Market by Application
  • 3.4.1: Manufacturing
  • 3.4.2: Healthcare
  • 3.4.3: Retail
  • 3.4.4: Finance

4. Market Trends and Forecast Analysis by Region from 2018 to 2030

• 4.1: Global AI Consulting Tool Market by Region
• 4.2: North American AI Consulting Tool Market
  • 4.2.1: North American AI Consulting Tool Market by Type: AI Strategy, AI Readiness, and AI Implementation
  • 4.2.2: North American AI Consulting Tool Market by Application: Manufacturing, Healthcare, Retail, and Finance
• 4.3: European AI Consulting Tool Market
  • 4.3.1: European AI Consulting Tool Market by Type: AI Strategy, AI Readiness, and AI Implementation
  • 4.3.2: European AI Consulting Tool Market by Application: Manufacturing, Healthcare, Retail, and Finance
• 4.4: APAC AI Consulting Tool Market
  • 4.4.1: APAC AI Consulting Tool Market by Type: AI Strategy, AI Readiness, and AI Implementation
  • 4.4.2: APAC AI Consulting Tool Market by Application: Manufacturing, Healthcare, Retail, and Finance
• 4.5: ROW AI Consulting Tool Market
  • 4.5.1: ROW AI Consulting Tool Market by Type: AI Strategy, AI Readiness, and AI Implementation
  • 4.5.2: ROW AI Consulting Tool Market by Application: Manufacturing, Healthcare, Retail, and Finance

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

7. Company Profiles of Leading Players

• 7.1: Neurons
• 7.2: Tome
• 7.3: Validator AI
• 7.4: Legal Robot
• 7.5: Gong
• 7.6: Fireflies
• 7.7: Henchman