The demand for enterprise feedback management is set to exceed a valuation of US$ 195.1 million in 2023. This significant growth in demand can be attributed to the heightened focus on customer-centric strategies and the increasing adoption of advanced technological solutions.
Sales of enterprise feedback management in Japan are likely to rise at a CAGR of 13.2%, reaching a valuation of US$ 669.3 million by 2033. As businesses increasingly prioritize customer satisfaction and experience, there is a growing need for efficient feedback management systems to support these objectives.
Adoption Analysis of Enterprise Feedback Management in Japan
Attributes | Details |
---|---|
Industry Size of Japan in 2023 | US$ 195.1 million |
Expected Industry Size of Japan by 2033 | US$ 669.3 million |
Forecasted CAGR between 2023 to 2033 | 13.2% |
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The section offers a detailed analysis of dominant segments within specific verticals and enterprise sizes. It furnishes detailed information on the industry shares held by each segment in 2023. By zeroing in on key sectors like BFSI (Banking, Financial Services, and Insurance) and distinct enterprise sizes, particularly large enterprises, the insights delve into the demand outlook for enterprise feedback management in Japan. This highlights the significant influence of these segments and their respective industry shares.
Dominant Segment by Verticals | BFSI |
---|---|
Share held by the Segment in 2023 | 22.5% |
The Banking, Financial Services, and Insurance (BFSI) sector maintained a significant share of 22.5% in 2023. Its dominance can be attributed to the increasing reliance on enterprise feedback management to enhance customer experiences and ensure regulatory compliance.
Dominant Segment by Enterprise Size | Large Enterprises |
---|---|
Share held by the Segment in 2023 | 62.9% |
Large enterprises emerged as a dominant force, capturing a substantial 62.9% share in the Japan enterprise feedback management demand outlook in 2023.
Adoption of enterprise feedback management dominates in the Kanto region, primarily driven by its thriving technology landscape, with Tokyo leading in sales. Kanto's dynamic business environment, supported by extensive financial and technological resources, fuels the adoption of advanced enterprise feedback management systems. Tokyo's emergence as a global financial and technological hub further encourages the incorporation of EFM tools for enhanced customer engagement and data-driven decision-making.
Chubu's enterprise feedback management sector witnessed a steady rise in sales, supported by Chubu's flourishing manufacturing sector. The automotive and electronics industries are key contributors to the growing demand for enterprise feedback management tools. With Nagoya as a prominent industrial hub, the companies in Chubu focus on leveraging enterprise feedback management solutions to enhance product quality, customer satisfaction, and overall business operations.
Kinki's enterprise feedback management solutions experiences a notable upsurge in adoption, driven by Osaka's position as a prominent commercial and cultural center. Kinki's diverse business landscape, encompassing retail, hospitality, and technology sectors, underscores the significance of enterprise feedback management in fostering customer engagement and loyalty. Osaka's dynamic business environment emphasizes the integration of EFM tools to enhance operational efficiency and deliver superior customer experiences.
Kyushu and Okinawa's enterprise feedback management sector witnessed a steady increase in sales, attributed to the thriving tourism and hospitality sectors. With Fukuoka and Okinawa serving as popular tourist destinations, the emphasis on delivering exceptional customer experiences drives the integration of enterprise feedback management tools. Kyushu and Okinawa's hospitality industry leverages EFM solutions to collect valuable insights and feedback, enhancing service quality and visitor satisfaction.
Tohoku's enterprise feedback management services showcase a promising demand outlook, with Sendai as a key contributor to the growing adoption. The area's diverse industrial landscape, including manufacturing and technology sectors, underlines the significance of enterprise feedback management in improving operational efficiency and customer satisfaction. Sendai's evolving business environment emphasizes the integration of EFM tools to drive data-driven decision-making and enhance business performance.
Japan's enterprise feedback management industry is highly competitive, with several established and new players vying for dominance. These players are taking several steps to stay at the top, including:
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Top Challenges Faced by Key Players in Japan
Recent Developments Observed in Japan Enterprise Feedback Management Business
Attributes | Details |
---|---|
Estimated Industry Size in 2023 | US$ 195.1 million |
Projected Industry Valuation in 2033 | US$ 669.3 million |
Value-based CAGR 2023 to 2033 | 13.2% |
Historical Analysis of Enterprise Feedback Management in Japan | 2018 to 2022 |
Demand Forecast for Enterprise Feedback Management in Japan | 2023 to 2033 |
Report Coverage | Industry Size, Industry Trends, Analysis of key factors influencing Enterprise Feedback Management in Japan Insights on Global Players and their Industry Strategy in Japan, Ecosystem Analysis of Local and Regional Japan Providers |
Key Cities Analyzed While Studying Opportunities in Enterprise Feedback Management in Japan | Kanto, Chubu, Kinki, Kyushu and Okinawa, Tohoku, Rest of Japan |
Key Companies Profiled | Kinesis One; SurveyMonkey; Qualtrics; Freshservice; Zendesk; Gtmhub; Culture Amp; Perceptyx; Medallia |
The sales of enterprise feedback management in Japan are poised to reach US$ 195.1 million in 2023.
The adoption of enterprise feedback management in Japan is likely to surpass US$ 669.3 million by 2033.
The demand for enterprise feedback management in Japan is likely to rise at a CAGR of 13.2% from 2023 to 2033.
Companies of all sizes are utilizing EFM to enhance customer interactions, gather feedback, and improve overall customer satisfaction.
Tokyo is likely to witness rapid growth in enterprise feedback management demand during the forecast period.
1. Executive Summary
1.1. Japan Market Outlook
1.2. Demand-side Trends
1.3. Supply-side Trends
1.4. Technology Roadmap Analysis
1.5. Analysis and Recommendations
2. Market Overview
2.1. Market Coverage / Taxonomy
2.2. Market Definition / Scope / Limitations
3. Market Background
3.1. Market Dynamics
3.1.1. Drivers
3.1.2. Restraints
3.1.3. Opportunity
3.1.4. Trends
3.2. Scenario Forecast
3.2.1. Demand in Optimistic Scenario
3.2.2. Demand in Likely Scenario
3.2.3. Demand in Conservative Scenario
3.3. Opportunity Map Analysis
3.4. Investment Feasibility Matrix
3.5. PESTLE and Porter’s Analysis
3.6. Regulatory Landscape
3.6.1. By Key Regions
3.7. Regional Parent Market Outlook
4. Japan Industry Analysis and Outlook 2018 to 2022 and Forecast, 2023 to 2033
4.1. Historical Market Size Value (US$ Million) Analysis, 2018 to 2022
4.2. Current and Future Market Size Value (US$ Million) Projections, 2023 to 2033
4.2.1. Y-o-Y Growth Trend Analysis
4.2.2. Absolute $ Opportunity Analysis
5. Japan Industry Analysis and Outlook 2018 to 2022 and Forecast 2023 to 2033, By Solution
5.1. Introduction / Key Findings
5.2. Historical Market Size Value (US$ Million) Analysis By Solution, 2018 to 2022
5.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Solution, 2023 to 2033
5.3.1. (EFM) Suite
5.3.1.1. Cloud-based/Web-based
5.3.1.2. On-Premises
5.3.2. Services
5.3.2.1. Implementation & Integration
5.3.2.2. Consulting Services
5.3.2.3. Support & Maintenance
5.4. Y-o-Y Growth Trend Analysis By Solution, 2018 to 2022
5.5. Absolute $ Opportunity Analysis By Solution, 2023 to 2033
6. Japan Industry Analysis and Outlook 2018 to 2022 and Forecast 2023 to 2033, By Enterprise Size
6.1. Introduction / Key Findings
6.2. Historical Market Size Value (US$ Million) Analysis By Enterprise Size, 2018 to 2022
6.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Enterprise Size, 2023 to 2033
6.3.1. SMEs
6.3.2. Large Enterprises
6.4. Y-o-Y Growth Trend Analysis By Enterprise Size, 2018 to 2022
6.5. Absolute $ Opportunity Analysis By Enterprise Size, 2023 to 2033
7. Japan Industry Analysis and Outlook 2018 to 2022 and Forecast 2023 to 2033, By Industry
7.1. Introduction / Key Findings
7.2. Historical Market Size Value (US$ Million) Analysis By Industry, 2018 to 2022
7.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Industry, 2023 to 2033
7.3.1. BFSI
7.3.2. Retail & CPG
7.3.3. IT & Telecom
7.3.4. Healthcare
7.3.5. Media & Entertainment
7.3.6. Travel & Hospitality
7.3.7. Government
7.3.8. Others
7.4. Y-o-Y Growth Trend Analysis By Industry, 2018 to 2022
7.5. Absolute $ Opportunity Analysis By Industry, 2023 to 2033
8. Japan Industry Analysis and Outlook 2018 to 2022 and Forecast 2023 to 2033, By Region
8.1. Introduction
8.2. Historical Market Size Value (US$ Million) Analysis By Region, 2018 to 2022
8.3. Current Market Size Value (US$ Million) Analysis and Forecast By Region, 2023 to 2033
8.3.1. Kanto
8.3.2. Chubu
8.3.3. Kinki
8.3.4. Kyushu & Okinawa
8.3.5. Tohoku
8.3.6. Rest of Japan
8.4. Market Attractiveness Analysis By Region
9. Kanto Industry Analysis and Outlook 2018 to 2022 and Forecast 2023 to 2033
9.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
9.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
9.2.1. By Solution
9.2.2. By Enterprise Size
9.2.3. By Industry
9.3. Market Attractiveness Analysis
9.3.1. By Solution
9.3.2. By Enterprise Size
9.3.3. By Industry
9.4. Key Takeaways
10. Chubu Industry Analysis and Outlook 2018 to 2022 and Forecast 2023 to 2033
10.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
10.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
10.2.1. By Solution
10.2.2. By Enterprise Size
10.2.3. By Industry
10.3. Market Attractiveness Analysis
10.3.1. By Solution
10.3.2. By Enterprise Size
10.3.3. By Industry
10.4. Key Takeaways
11. Kinki Industry Analysis and Outlook 2018 to 2022 and Forecast 2023 to 2033
11.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
11.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
11.2.1. By Solution
11.2.2. By Enterprise Size
11.2.3. By Industry
11.3. Market Attractiveness Analysis
11.3.1. By Solution
11.3.2. By Enterprise Size
11.3.3. By Industry
11.4. Key Takeaways
12. Kyushu & Okinawa Industry Analysis and Outlook 2018 to 2022 and Forecast 2023 to 2033
12.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
12.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
12.2.1. By Solution
12.2.2. By Enterprise Size
12.2.3. By Industry
12.3. Market Attractiveness Analysis
12.3.1. By Solution
12.3.2. By Enterprise Size
12.3.3. By Industry
12.4. Key Takeaways
13. Tohoku Industry Analysis and Outlook 2018 to 2022 and Forecast 2023 to 2033
13.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
13.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
13.2.1. By Solution
13.2.2. By Enterprise Size
13.2.3. By Industry
13.3. Market Attractiveness Analysis
13.3.1. By Solution
13.3.2. By Enterprise Size
13.3.3. By Industry
13.4. Key Takeaways
14. Rest of Japan Industry Analysis and Outlook 2018 to 2022 and Forecast 2023 to 2033
14.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
14.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
14.2.1. By Solution
14.2.2. By Enterprise Size
14.2.3. By Industry
14.3. Market Attractiveness Analysis
14.3.1. By Solution
14.3.2. By Enterprise Size
14.3.3. By Industry
14.4. Key Takeaways
15. Market Structure Analysis
15.1. Competition Dashboard
15.2. Competition Benchmarking
15.3. Market Share Analysis of Top Players
15.3.1. By Regional
15.3.2. By Solution
15.3.3. By Enterprise Size
15.3.4. By Industry
16. Competition Analysis
16.1. Competition Deep Dive
16.1.1. IBM Corporation
16.1.1.1. Overview
16.1.1.2. Product Portfolio
16.1.1.3. Profitability by Market Segments
16.1.1.4. Sales Footprint
16.1.1.5. Strategy Overview
16.1.1.5.1. Marketing Strategy
16.1.2. Verint Systems Inc.
16.1.2.1. Overview
16.1.2.2. Product Portfolio
16.1.2.3. Profitability by Market Segments
16.1.2.4. Sales Footprint
16.1.2.5. Strategy Overview
16.1.2.5.1. Marketing Strategy
16.1.3. MaritzCX
16.1.3.1. Overview
16.1.3.2. Product Portfolio
16.1.3.3. Profitability by Market Segments
16.1.3.4. Sales Footprint
16.1.3.5. Strategy Overview
16.1.3.5.1. Marketing Strategy
16.1.4. MirrorWave
16.1.4.1. Overview
16.1.4.2. Product Portfolio
16.1.4.3. Profitability by Market Segments
16.1.4.4. Sales Footprint
16.1.4.5. Strategy Overview
16.1.4.5.1. Marketing Strategy
16.1.5. Qualtrics, LLC
16.1.5.1. Overview
16.1.5.2. Product Portfolio
16.1.5.3. Profitability by Market Segments
16.1.5.4. Sales Footprint
16.1.5.5. Strategy Overview
16.1.5.5.1. Marketing Strategy
16.1.6. Ipsos SA
16.1.6.1. Overview
16.1.6.2. Product Portfolio
16.1.6.3. Profitability by Market Segments
16.1.6.4. Sales Footprint
16.1.6.5. Strategy Overview
16.1.6.5.1. Marketing Strategy
16.1.7. InMoment, Inc.
16.1.7.1. Overview
16.1.7.2. Product Portfolio
16.1.7.3. Profitability by Market Segments
16.1.7.4. Sales Footprint
16.1.7.5. Strategy Overview
16.1.7.5.1. Marketing Strategy
16.1.8. Cvent, Inc.
16.1.8.1. Overview
16.1.8.2. Product Portfolio
16.1.8.3. Profitability by Market Segments
16.1.8.4. Sales Footprint
16.1.8.5. Strategy Overview
16.1.8.5.1. Marketing Strategy
16.1.9. Confirmit, Inc.
16.1.9.1. Overview
16.1.9.2. Product Portfolio
16.1.9.3. Profitability by Market Segments
16.1.9.4. Sales Footprint
16.1.9.5. Strategy Overview
16.1.9.5.1. Marketing Strategy
16.1.10. Ambivista
16.1.10.1. Overview
16.1.10.2. Product Portfolio
16.1.10.3. Profitability by Market Segments
16.1.10.4. Sales Footprint
16.1.10.5. Strategy Overview
16.1.10.5.1. Marketing Strategy
17. Assumptions & Acronyms Used
18. Research Methodology
Technology
July 2023
REP-GB-1573
342 pages
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